@omarsar0
TableRAG A new RAG framework for heterogeneous document reasoning. My notes below: https://t.co/MVJvdmmL7B
🐦 Twitter Post Details
Viewing enriched Twitter post
📊 Media Metadata
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1933520740147736634/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "neutral",
"topics": [
"RAG framework",
"document reasoning",
"notes"
],
"entities": [],
"summary": "The tweet introduces a new RAG framework for heterogeneous document reasoning and includes a link to notes.",
"language": "en",
"processed_at": "2025-08-07T11:13:35.383689"
}
}🔧 Raw API Response
{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1933520740147736634",
"sortIndex": "1953504798187716608",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933520740147736634",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31675,
"followers_count": 258908,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3766,
"name": "elvis",
"normal_followers_count": 258908,
"pinned_tweet_ids_str": [
"1953152163078635748"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15302,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933520740147736634"
],
"editable_until_msecs": "1749825842000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "87902",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"legacy": {
"bookmark_count": 1024,
"bookmarked": false,
"created_at": "Fri Jun 13 13:44:02 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
0,
84
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/MVJvdmmL7B",
"expanded_url": "https://x.com/omarsar0/status/1933520740147736634/photo/1",
"id_str": "1933520737723387904",
"indices": [
85,
108
],
"media_key": "3_1933520737723387904",
"media_url_https": "https://pbs.twimg.com/media/GtU-3eHakAAYbXa.png",
"type": "photo",
"url": "https://t.co/MVJvdmmL7B",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 431,
"y": 625,
"h": 75,
"w": 75
}
]
},
"medium": {
"faces": [
{
"x": 431,
"y": 625,
"h": 75,
"w": 75
}
]
},
"small": {
"faces": [
{
"x": 334,
"y": 484,
"h": 58,
"w": 58
}
]
},
"orig": {
"faces": [
{
"x": 431,
"y": 625,
"h": 75,
"w": 75
}
]
}
},
"sizes": {
"large": {
"h": 868,
"w": 877,
"resize": "fit"
},
"medium": {
"h": 868,
"w": 877,
"resize": "fit"
},
"small": {
"h": 673,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 868,
"width": 877,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 877,
"h": 491
},
{
"x": 0,
"y": 0,
"w": 868,
"h": 868
},
{
"x": 36,
"y": 0,
"w": 761,
"h": 868
},
{
"x": 199,
"y": 0,
"w": 434,
"h": 868
},
{
"x": 0,
"y": 0,
"w": 877,
"h": 868
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520737723387904"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/MVJvdmmL7B",
"expanded_url": "https://x.com/omarsar0/status/1933520740147736634/photo/1",
"id_str": "1933520737723387904",
"indices": [
85,
108
],
"media_key": "3_1933520737723387904",
"media_url_https": "https://pbs.twimg.com/media/GtU-3eHakAAYbXa.png",
"type": "photo",
"url": "https://t.co/MVJvdmmL7B",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 431,
"y": 625,
"h": 75,
"w": 75
}
]
},
"medium": {
"faces": [
{
"x": 431,
"y": 625,
"h": 75,
"w": 75
}
]
},
"small": {
"faces": [
{
"x": 334,
"y": 484,
"h": 58,
"w": 58
}
]
},
"orig": {
"faces": [
{
"x": 431,
"y": 625,
"h": 75,
"w": 75
}
]
}
},
"sizes": {
"large": {
"h": 868,
"w": 877,
"resize": "fit"
},
"medium": {
"h": 868,
"w": 877,
"resize": "fit"
},
"small": {
"h": 673,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 868,
"width": 877,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 877,
"h": 491
},
{
"x": 0,
"y": 0,
"w": 868,
"h": 868
},
{
"x": 36,
"y": 0,
"w": 761,
"h": 868
},
{
"x": 199,
"y": 0,
"w": 434,
"h": 868
},
{
"x": 0,
"y": 0,
"w": 877,
"h": 868
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520737723387904"
}
}
}
]
},
"favorite_count": 707,
"favorited": false,
"full_text": "TableRAG\n\nA new RAG framework for heterogeneous document reasoning.\n\nMy notes below: https://t.co/MVJvdmmL7B",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 4,
"reply_count": 10,
"retweet_count": 126,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1933520740147736634"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1933520755779895409",
"sortIndex": "1953504798187716598",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933520755779895409-tweet-1933520755779895409",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933520755779895409",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31675,
"followers_count": 258908,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3766,
"name": "elvis",
"normal_followers_count": 258908,
"pinned_tweet_ids_str": [
"1953152163078635748"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15302,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933520755779895409"
],
"editable_until_msecs": "1749825845000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2580",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"legacy": {
"bookmark_count": 8,
"bookmarked": false,
"created_at": "Fri Jun 13 13:44:05 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
0,
188
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/ZGveW3fKO4",
"expanded_url": "https://x.com/omarsar0/status/1933520755779895409/photo/1",
"id_str": "1933520752755814407",
"indices": [
189,
212
],
"media_key": "3_1933520752755814407",
"media_url_https": "https://pbs.twimg.com/media/GtU-4WHbMAccfwd.png",
"type": "photo",
"url": "https://t.co/ZGveW3fKO4",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 560,
"w": 815,
"resize": "fit"
},
"medium": {
"h": 560,
"w": 815,
"resize": "fit"
},
"small": {
"h": 467,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 560,
"width": 815,
"focus_rects": [
{
"x": 0,
"y": 104,
"w": 815,
"h": 456
},
{
"x": 255,
"y": 0,
"w": 560,
"h": 560
},
{
"x": 324,
"y": 0,
"w": 491,
"h": 560
},
{
"x": 450,
"y": 0,
"w": 280,
"h": 560
},
{
"x": 0,
"y": 0,
"w": 815,
"h": 560
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520752755814407"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/ZGveW3fKO4",
"expanded_url": "https://x.com/omarsar0/status/1933520755779895409/photo/1",
"id_str": "1933520752755814407",
"indices": [
189,
212
],
"media_key": "3_1933520752755814407",
"media_url_https": "https://pbs.twimg.com/media/GtU-4WHbMAccfwd.png",
"type": "photo",
"url": "https://t.co/ZGveW3fKO4",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 560,
"w": 815,
"resize": "fit"
},
"medium": {
"h": 560,
"w": 815,
"resize": "fit"
},
"small": {
"h": 467,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 560,
"width": 815,
"focus_rects": [
{
"x": 0,
"y": 104,
"w": 815,
"h": 456
},
{
"x": 255,
"y": 0,
"w": 560,
"h": 560
},
{
"x": 324,
"y": 0,
"w": 491,
"h": 560
},
{
"x": 450,
"y": 0,
"w": 280,
"h": 560
},
{
"x": 0,
"y": 0,
"w": 815,
"h": 560
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520752755814407"
}
}
}
]
},
"favorite_count": 17,
"favorited": false,
"full_text": "TableRAG tackles a core limitation of existing RAG approaches: their inability to reason effectively over heterogeneous documents that combine both unstructured text and structured tables. https://t.co/ZGveW3fKO4",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1933520755779895409"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933520755779895409-tweet-1933520771282055680",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933520771282055680",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31675,
"followers_count": 258908,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3766,
"name": "elvis",
"normal_followers_count": 258908,
"pinned_tweet_ids_str": [
"1953152163078635748"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15302,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933520771282055680"
],
"editable_until_msecs": "1749825849000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2507",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzM1MjA3NzEyMDY1NzQwODA=",
"text": "Typical RAG pipelines flatten tables and intermix them with surrounding text, losing essential structural information and hampering multi-hop reasoning.\n\nTableRAG overcomes this by introducing a hybrid system that integrates SQL-based symbolic execution with text retrieval in a unified, iterative reasoning framework.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 22,
"bookmarked": false,
"created_at": "Fri Jun 13 13:44:09 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
0,
279
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/ZdKZQkBUjN",
"expanded_url": "https://x.com/omarsar0/status/1933520771282055680/photo/1",
"id_str": "1933520768564080640",
"indices": [
280,
303
],
"media_key": "3_1933520768564080640",
"media_url_https": "https://pbs.twimg.com/media/GtU-5RAaMAAvW56.jpg",
"type": "photo",
"url": "https://t.co/ZdKZQkBUjN",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 64,
"y": 156,
"h": 160,
"w": 160
}
]
},
"medium": {
"faces": [
{
"x": 63,
"y": 154,
"h": 158,
"w": 158
}
]
},
"small": {
"faces": [
{
"x": 35,
"y": 87,
"h": 89,
"w": 89
}
]
},
"orig": {
"faces": [
{
"x": 64,
"y": 156,
"h": 160,
"w": 160
}
]
}
},
"sizes": {
"large": {
"h": 882,
"w": 1214,
"resize": "fit"
},
"medium": {
"h": 872,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 494,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 882,
"width": 1214,
"focus_rects": [
{
"x": 0,
"y": 175,
"w": 1214,
"h": 680
},
{
"x": 0,
"y": 0,
"w": 882,
"h": 882
},
{
"x": 0,
"y": 0,
"w": 774,
"h": 882
},
{
"x": 0,
"y": 0,
"w": 441,
"h": 882
},
{
"x": 0,
"y": 0,
"w": 1214,
"h": 882
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520768564080640"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/ZdKZQkBUjN",
"expanded_url": "https://x.com/omarsar0/status/1933520771282055680/photo/1",
"id_str": "1933520768564080640",
"indices": [
280,
303
],
"media_key": "3_1933520768564080640",
"media_url_https": "https://pbs.twimg.com/media/GtU-5RAaMAAvW56.jpg",
"type": "photo",
"url": "https://t.co/ZdKZQkBUjN",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 64,
"y": 156,
"h": 160,
"w": 160
}
]
},
"medium": {
"faces": [
{
"x": 63,
"y": 154,
"h": 158,
"w": 158
}
]
},
"small": {
"faces": [
{
"x": 35,
"y": 87,
"h": 89,
"w": 89
}
]
},
"orig": {
"faces": [
{
"x": 64,
"y": 156,
"h": 160,
"w": 160
}
]
}
},
"sizes": {
"large": {
"h": 882,
"w": 1214,
"resize": "fit"
},
"medium": {
"h": 872,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 494,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 882,
"width": 1214,
"focus_rects": [
{
"x": 0,
"y": 175,
"w": 1214,
"h": 680
},
{
"x": 0,
"y": 0,
"w": 882,
"h": 882
},
{
"x": 0,
"y": 0,
"w": 774,
"h": 882
},
{
"x": 0,
"y": 0,
"w": 441,
"h": 882
},
{
"x": 0,
"y": 0,
"w": 1214,
"h": 882
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520768564080640"
}
}
}
]
},
"favorite_count": 24,
"favorited": false,
"full_text": "Typical RAG pipelines flatten tables and intermix them with surrounding text, losing essential structural information and hampering multi-hop reasoning.\n\nTableRAG overcomes this by introducing a hybrid system that integrates SQL-based symbolic execution with text retrieval in a… https://t.co/ZdKZQkBUjN",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520755779895409",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 3,
"retweet_count": 3,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1933520771282055680"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933520755779895409-tweet-1933520783823011844",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933520783823011844",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31675,
"followers_count": 258908,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3766,
"name": "elvis",
"normal_followers_count": 258908,
"pinned_tweet_ids_str": [
"1953152163078635748"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15302,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933520783823011844"
],
"editable_until_msecs": "1749825852000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2061",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzM1MjA3ODM3MjIzNjA4MzU=",
"text": "TableRAG operates in four iterative stages: (1) context-sensitive query decomposition, (2) text retrieval, (3) SQL programming and execution, and (4) intermediate answer generation.\n\nThis design allows it to preserve tabular structure and leverage both symbolic and neural reasoning paths.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 6,
"bookmarked": false,
"created_at": "Fri Jun 13 13:44:12 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
0,
273
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 15,
"favorited": false,
"full_text": "TableRAG operates in four iterative stages: (1) context-sensitive query decomposition, (2) text retrieval, (3) SQL programming and execution, and (4) intermediate answer generation.\n\nThis design allows it to preserve tabular structure and leverage both symbolic and neural…",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520771282055680",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1933520783823011844"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933520755779895409-tweet-1933520799769719065",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933520799769719065",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31675,
"followers_count": 258908,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3766,
"name": "elvis",
"normal_followers_count": 258908,
"pinned_tweet_ids_str": [
"1953152163078635748"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15302,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933520799769719065"
],
"editable_until_msecs": "1749825856000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5511",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzM1MjA3OTk2NzMyOTg5NDU=",
"text": "A new benchmark, HeteQA, was developed to evaluate heterogeneous reasoning across 304 multi-hop QA examples covering nine domains and five types of tabular operations (e.g. aggregation, filtering, grouping).\n\nExperiments on HeteQA and existing benchmarks (HybridQA, WikiTableQuestions) show that TableRAG consistently outperforms prior methods like NaiveRAG, ReAct, and TableGPT2, achieving >10% gains in accuracy over the strongest baseline.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 8,
"bookmarked": false,
"created_at": "Fri Jun 13 13:44:16 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
0,
266
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/HCtpqtHXqR",
"expanded_url": "https://x.com/omarsar0/status/1933520799769719065/photo/1",
"id_str": "1933520797353795584",
"indices": [
267,
290
],
"media_key": "3_1933520797353795584",
"media_url_https": "https://pbs.twimg.com/media/GtU-68QaYAAak99.png",
"type": "photo",
"url": "https://t.co/HCtpqtHXqR",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 501,
"y": 19,
"h": 176,
"w": 176
}
]
},
"medium": {
"faces": [
{
"x": 501,
"y": 19,
"h": 176,
"w": 176
}
]
},
"small": {
"faces": [
{
"x": 367,
"y": 13,
"h": 129,
"w": 129
}
]
},
"orig": {
"faces": [
{
"x": 501,
"y": 19,
"h": 176,
"w": 176
}
]
}
},
"sizes": {
"large": {
"h": 566,
"w": 927,
"resize": "fit"
},
"medium": {
"h": 566,
"w": 927,
"resize": "fit"
},
"small": {
"h": 415,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 566,
"width": 927,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 927,
"h": 519
},
{
"x": 361,
"y": 0,
"w": 566,
"h": 566
},
{
"x": 431,
"y": 0,
"w": 496,
"h": 566
},
{
"x": 577,
"y": 0,
"w": 283,
"h": 566
},
{
"x": 0,
"y": 0,
"w": 927,
"h": 566
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520797353795584"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/HCtpqtHXqR",
"expanded_url": "https://x.com/omarsar0/status/1933520799769719065/photo/1",
"id_str": "1933520797353795584",
"indices": [
267,
290
],
"media_key": "3_1933520797353795584",
"media_url_https": "https://pbs.twimg.com/media/GtU-68QaYAAak99.png",
"type": "photo",
"url": "https://t.co/HCtpqtHXqR",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 501,
"y": 19,
"h": 176,
"w": 176
}
]
},
"medium": {
"faces": [
{
"x": 501,
"y": 19,
"h": 176,
"w": 176
}
]
},
"small": {
"faces": [
{
"x": 367,
"y": 13,
"h": 129,
"w": 129
}
]
},
"orig": {
"faces": [
{
"x": 501,
"y": 19,
"h": 176,
"w": 176
}
]
}
},
"sizes": {
"large": {
"h": 566,
"w": 927,
"resize": "fit"
},
"medium": {
"h": 566,
"w": 927,
"resize": "fit"
},
"small": {
"h": 415,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 566,
"width": 927,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 927,
"h": 519
},
{
"x": 361,
"y": 0,
"w": 566,
"h": 566
},
{
"x": 431,
"y": 0,
"w": 496,
"h": 566
},
{
"x": 577,
"y": 0,
"w": 283,
"h": 566
},
{
"x": 0,
"y": 0,
"w": 927,
"h": 566
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520797353795584"
}
}
}
]
},
"favorite_count": 15,
"favorited": false,
"full_text": "A new benchmark, HeteQA, was developed to evaluate heterogeneous reasoning across 304 multi-hop QA examples covering nine domains and five types of tabular operations (e.g. aggregation, filtering, grouping).\n\nExperiments on HeteQA and existing benchmarks (HybridQA,… https://t.co/HCtpqtHXqR",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520783823011844",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1933520799769719065"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933520755779895409-tweet-1933520814852485568",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933520814852485568",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31675,
"followers_count": 258908,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3766,
"name": "elvis",
"normal_followers_count": 258908,
"pinned_tweet_ids_str": [
"1953152163078635748"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15302,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933520814852485568"
],
"editable_until_msecs": "1749825859000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5114",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzM1MjA4MTQ3MDk4Nzg3ODY=",
"text": "Ablations reveal that all major components of TableRAG contribute significantly. Notably, SQL execution is critical for nested reasoning tasks, while textual retrieval is crucial for entity and numeric references.\n\nTableRAG achieves greater reasoning efficiency, solving over 90% of HeteQA tasks in five or fewer steps and exhibiting the lowest failure rate among evaluated methods. Its robustness holds across multiple LLM backbones (Claude, DeepSeek, Qwen).\n\nPaper: https://t.co/29iKDckZLg",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2506.10380",
"expanded_url": "https://arxiv.org/abs/2506.10380",
"url": "https://t.co/29iKDckZLg",
"indices": [
468,
491
]
}
],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 13,
"bookmarked": false,
"created_at": "Fri Jun 13 13:44:19 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
0,
280
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/8ogBE0JNFy",
"expanded_url": "https://x.com/omarsar0/status/1933520814852485568/photo/1",
"id_str": "1933520812298153985",
"indices": [
281,
304
],
"media_key": "3_1933520812298153985",
"media_url_https": "https://pbs.twimg.com/media/GtU-7z7bMAErpqw.png",
"type": "photo",
"url": "https://t.co/8ogBE0JNFy",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 720,
"w": 1084,
"resize": "fit"
},
"medium": {
"h": 720,
"w": 1084,
"resize": "fit"
},
"small": {
"h": 452,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 720,
"width": 1084,
"focus_rects": [
{
"x": 0,
"y": 113,
"w": 1084,
"h": 607
},
{
"x": 0,
"y": 0,
"w": 720,
"h": 720
},
{
"x": 35,
"y": 0,
"w": 632,
"h": 720
},
{
"x": 171,
"y": 0,
"w": 360,
"h": 720
},
{
"x": 0,
"y": 0,
"w": 1084,
"h": 720
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520812298153985"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/8ogBE0JNFy",
"expanded_url": "https://x.com/omarsar0/status/1933520814852485568/photo/1",
"id_str": "1933520812298153985",
"indices": [
281,
304
],
"media_key": "3_1933520812298153985",
"media_url_https": "https://pbs.twimg.com/media/GtU-7z7bMAErpqw.png",
"type": "photo",
"url": "https://t.co/8ogBE0JNFy",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 720,
"w": 1084,
"resize": "fit"
},
"medium": {
"h": 720,
"w": 1084,
"resize": "fit"
},
"small": {
"h": 452,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 720,
"width": 1084,
"focus_rects": [
{
"x": 0,
"y": 113,
"w": 1084,
"h": 607
},
{
"x": 0,
"y": 0,
"w": 720,
"h": 720
},
{
"x": 35,
"y": 0,
"w": 632,
"h": 720
},
{
"x": 171,
"y": 0,
"w": 360,
"h": 720
},
{
"x": 0,
"y": 0,
"w": 1084,
"h": 720
}
]
},
"media_results": {
"result": {
"media_key": "3_1933520812298153985"
}
}
}
]
},
"favorite_count": 23,
"favorited": false,
"full_text": "Ablations reveal that all major components of TableRAG contribute significantly. Notably, SQL execution is critical for nested reasoning tasks, while textual retrieval is crucial for entity and numeric references.\n\nTableRAG achieves greater reasoning efficiency, solving over 90%… https://t.co/8ogBE0JNFy",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520799769719065",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 4,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1933520814852485568"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933520783823011844"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933643876641685911",
"sortIndex": "1953504798187716588",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933643876641685911-tweet-1933643876641685911",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933643876641685911",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo4OTU4MTQ5Mzg5OTU5NTc3NjA=",
"rest_id": "895814938995957760",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Aug 11 01:11:39 +0000 2017",
"default_profile": true,
"default_profile_image": false,
"description": "I'm a 🤖 to help you read threads more easily. Reply to any tweet of a thread and mention me with the \"unroll\" keyword and I'll give you a link back 😀",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ThreadReaderApp.com",
"expanded_url": "https://ThreadReaderApp.com",
"url": "https://t.co/pBpAT7Uy1z",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 2039,
"followers_count": 784202,
"friends_count": 1177,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 3083,
"location": "Wherever threads are written..",
"media_count": 5754,
"name": "Thread Reader App",
"normal_followers_count": 784202,
"pinned_tweet_ids_str": [
"934543319962546176"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/895814938995957760/1612816501",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1813321453183590400/lc6jtC3Y_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "threadreaderapp",
"statuses_count": 5411839,
"translator_type": "none",
"url": "https://t.co/pBpAT7Uy1z",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {
"is_enabled": true,
"bitcoin_handle": "3E3uvj5fgM3yfmZ3iA32cQxVHfiRWgWHCm",
"patreon_handle": "ThreadReaderApp"
}
}
}
},
"card": {
"rest_id": "https://t.co/q2De9DZNRZ",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 147,
"width": 280,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=280x150"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "@omarsar0: TableRAG A new RAG framework for heterogeneous document reasoning. My notes below: TableRAG tackles a core limitation of existing RAG approaches: their inability to reason effectively over...",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "threadreaderapp.com",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=600x600"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 628,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 75,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=144x144"
},
"type": "IMAGE"
}
},
{
"key": "creator",
"value": {
"type": "USER",
"user_value": {
"id_str": "3448284313",
"path": []
}
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 628,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 628,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "threadreaderapp.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 79.57
},
{
"rgb": {
"blue": 0,
"green": 0,
"red": 0
},
"percentage": 17.62
},
{
"rgb": {
"blue": 121,
"green": 138,
"red": 147
},
"percentage": 0.48
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "Thread by @omarsar0 on Thread Reader App",
"type": "STRING"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 79.57
},
{
"rgb": {
"blue": 0,
"green": 0,
"red": 0
},
"percentage": 17.62
},
{
"rgb": {
"blue": 121,
"green": 138,
"red": 147
},
"percentage": 0.48
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"height": 628,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 79.57
},
{
"rgb": {
"blue": 0,
"green": 0,
"red": 0
},
"percentage": 17.62
},
{
"rgb": {
"blue": 121,
"green": 138,
"red": 147
},
"percentage": 0.48
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"height": 628,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/q2De9DZNRZ",
"type": "STRING"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"height": 628,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952430523646971904/niH1vs7B?format=jpg&name=orig"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/q2De9DZNRZ",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31675,
"followers_count": 258908,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3766,
"name": "elvis",
"normal_followers_count": 258908,
"pinned_tweet_ids_str": [
"1953152163078635748"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15302,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933643876641685911"
],
"editable_until_msecs": "1749855200000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "644",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://threadreaderapp.com\" rel=\"nofollow\">ThreadReaderApp</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 13 21:53:20 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
10,
104
],
"entities": {
"hashtags": [
{
"indices": [
47,
57
],
"text": "TopUnroll"
}
],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "threadreaderapp.com/thread/1933520…",
"expanded_url": "https://threadreaderapp.com/thread/1933520740147736634.html?utm_campaign=topunroll",
"url": "https://t.co/q2De9DZNRZ",
"indices": [
58,
81
]
}
],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
},
{
"id_str": "43539144",
"name": "Edouard Bry",
"screen_name": "Brykske",
"indices": [
84,
92
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@omarsar0 Your thread is everybody's favorite! #TopUnroll https://t.co/q2De9DZNRZ 🙏🏼@Brykske for 🥇unroll",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "895814938995957760",
"id_str": "1933643876641685911"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933643876641685911"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933550126909304962",
"sortIndex": "1953504798187716578",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933550126909304962-tweet-1933550126909304962",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933550126909304962",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzgzODYwOTk1NDQzNTc2ODMy",
"rest_id": "1783860995443576832",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Fri Apr 26 14:09:54 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "My actual focus : practical agentic workflows as in \"useful for business\"\n\nSome older ones : strategy, neuro, geopol, MLAI, intelligence, etc.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 16076,
"followers_count": 431,
"friends_count": 631,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 12,
"location": "Europe",
"media_count": 454,
"name": "Agent B",
"normal_followers_count": 431,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1783863490127482880/Pr8pdURX_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "MichelIvan92347",
"statuses_count": 7132,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933550126909304962"
],
"editable_until_msecs": "1749832848000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "722",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 13 15:40:48 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
10,
80
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@omarsar0 Thanks for sharing your valuable notes on papers. \nMuch appreciated. 👏",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1783860995443576832",
"id_str": "1933550126909304962"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933550126909304962"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933643820639428767",
"sortIndex": "1953504798187716568",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933643820639428767-tweet-1933643820639428767",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933643820639428767",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0MzUzOTE0NA==",
"rest_id": "43539144",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": false,
"created_at": "Sat May 30 15:00:58 +0000 2009",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "brykske.tumblr.com",
"expanded_url": "http://brykske.tumblr.com",
"url": "http://t.co/01XBZgGtCO",
"indices": [
0,
22
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1080,
"followers_count": 22,
"friends_count": 188,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "Brussels",
"media_count": 8,
"name": "Edouard Bry",
"normal_followers_count": 22,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/43539144/1398366442",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/459407696014639104/LIIOeZRZ_normal.jpeg",
"profile_interstitial_type": "",
"screen_name": "Brykske",
"statuses_count": 266,
"translator_type": "none",
"url": "http://t.co/01XBZgGtCO",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933643820639428767"
],
"editable_until_msecs": "1749855186000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "421",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 13 21:53:06 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
10,
33
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
},
{
"id_str": "895814938995957760",
"name": "Thread Reader App",
"screen_name": "threadreaderapp",
"indices": [
10,
26
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 @threadreaderapp unroll",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "43539144",
"id_str": "1933643820639428767"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933643820639428767"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933961350130393560",
"sortIndex": "1953504798187716558",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933961350130393560-tweet-1933961350130393560",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933961350130393560",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMTU0OTg5OTE3NDI2MTE0NTYw",
"rest_id": "1154989917426114560",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": false,
"created_at": "Sat Jul 27 05:40:29 +0000 2019",
"default_profile": true,
"default_profile_image": false,
"description": "Educating about AI, Cybersecurity and Technology",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 167,
"followers_count": 55,
"friends_count": 2525,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 26,
"name": "Ben Victoria",
"normal_followers_count": 55,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1913610162520358912/7X_7U_Ld_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "benvictoria17",
"statuses_count": 14161,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933961350130393560"
],
"editable_until_msecs": "1749930891000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "136",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://google.com\" rel=\"nofollow\">benxbot</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jun 14 18:54:51 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
10,
123
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 looks like a solid approach to tackling complex docs but i wonder how it handles edge cases with messy formatting",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1154989917426114560",
"id_str": "1933961350130393560"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933961350130393560"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933865268436144311",
"sortIndex": "1953504798187716548",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933865268436144311-tweet-1933865268436144311",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933865268436144311",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzM5NTAzMzI5NDIyNzQ1NjAw",
"rest_id": "1739503329422745600",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Dec 26 04:28:21 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1172,
"followers_count": 4,
"friends_count": 62,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 0,
"name": "AB B",
"normal_followers_count": 4,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1739503392433819648/LSj6jlC9_normal.png",
"profile_interstitial_type": "",
"screen_name": "ABB1867068",
"statuses_count": 866,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933865268436144311"
],
"editable_until_msecs": "1749907984000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "162",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jun 14 12:33:04 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
10,
16
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 Thanks",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1739503329422745600",
"id_str": "1933865268436144311"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933865268436144311"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933814305713197069",
"sortIndex": "1953504798187716538",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933814305713197069-tweet-1933814305713197069",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1933814305713197069",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo1NjY1MDIyMjM=",
"rest_id": "566502223",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Sun Apr 29 17:28:07 +0000 2012",
"default_profile": false,
"default_profile_image": false,
"description": "Playing with sql, python, cuda, llms. Excel maxi.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1197,
"followers_count": 410,
"friends_count": 177,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 1,
"location": "",
"media_count": 271,
"name": "Raúl",
"normal_followers_count": 410,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/566502223/1647065020",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1624370696968077313/SRRZV0jX_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "raul3820",
"statuses_count": 1217,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1933814305713197069"
],
"editable_until_msecs": "1749895833000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "223",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jun 14 09:10:33 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
10,
97
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 Maybe it could be done with CSVs, might be more efficient: smaller models, less tokens.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "566502223",
"id_str": "1933814305713197069"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933814305713197069"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1935652944919093715",
"sortIndex": "1953504798187716528",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1935652944919093715-tweet-1935652944919093715",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1935652944919093715",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODE3NDEzODU4NzAyODIzNDI0",
"rest_id": "1817413858702823424",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sun Jul 28 04:16:54 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 402,
"followers_count": 9,
"friends_count": 199,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 3,
"name": "nftoshi (Ø,G)",
"normal_followers_count": 9,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1817413958904524800/O9Y-imN-_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "cryptopixelz0",
"statuses_count": 310,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1935652944919093715"
],
"editable_until_msecs": "1750334199000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "31",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu Jun 19 10:56:39 +0000 2025",
"conversation_id_str": "1933520740147736634",
"display_text_range": [
10,
33
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
},
{
"id_str": "1835606127842607104",
"name": "Mirra",
"screen_name": "MirraTerminal",
"indices": [
10,
24
]
},
{
"id_str": "1802098947030130688",
"name": "GiveRep",
"screen_name": "GiveRep",
"indices": [
25,
33
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 @MirraTerminal @GiveRep",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1933520740147736634",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "qam",
"quote_count": 0,
"reply_count": 2,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1817413858702823424",
"id_str": "1935652944919093715"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1935652944919093715"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1933767777921479031",
"sortIndex": "1953504798187716518",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1933767777921479031-tweet-1933767777921479031",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "TweetTombstone",
"tombstone": {
"__typename": "TextTombstone",
"text": {
"rtl": false,
"text": "This Post is unavailable. Learn more",
"entities": [
{
"fromIndex": 26,
"toIndex": 36,
"ref": {
"type": "TimelineUrl",
"url": "https://help.twitter.com/rules-and-policies/notices-on-twitter",
"urlType": "ExternalUrl"
}
}
]
}
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1933767777921479031"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953504798187716517",
"sortIndex": "1953504798187716517",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxw-Q4r__6MLAAIAAACwRW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUE0YTFrbmRnWnFRRFJyV3o1bnoyMkhZR3R6U0dRNVhZZE1hMW5nM01Kb1F0eHJWUHUvWEd6SEFHdFUrNkoyYkFBUWExVDdlY2xzd09ocldINHhwR3pGM0d0VSs1YkliTWdBYTFhN1BXMWVnbnhyVldaaVYxekNDR3RXdTNHVldRWmNhMVQ3aUZoc0FjUnJWUHV4VUduRVoIAAMAAAACAAA",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
},
{
"type": "TimelineTerminateTimeline",
"direction": "Bottom"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}