@omarsar0
Agentic RAG for Personalized Recommendation This is a really good example of integrating agentic reasoning into RAG. Leads to better personalization and improved recommendations. Here are my notes: https://t.co/2XINjiyUo5
Viewing enriched Twitter post
Agentic RAG for Personalized Recommendation This is a really good example of integrating agentic reasoning into RAG. Leads to better personalization and improved recommendations. Here are my notes: https://t.co/2XINjiyUo5
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1941957079331377475/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "positive",
"topics": [
"agentic reasoning",
"personalized recommendation",
"RAG integration"
],
"entities": [],
"summary": "The tweet discusses the positive impact of integrating agentic reasoning into RAG for enhanced personalization and recommendations.",
"language": "en",
"processed_at": "2025-08-07T10:02:00.755778"
}
} {
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1941957079331377475",
"sortIndex": "1953486780950904832",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1941957079331377475",
"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": 31667,
"followers_count": 258918,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3762,
"name": "elvis",
"normal_followers_count": 258918,
"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": 15290,
"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": [
"1941957079331377475"
],
"editable_until_msecs": "1751837222000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "90486",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"legacy": {
"bookmark_count": 1270,
"bookmarked": false,
"created_at": "Sun Jul 06 20:27:02 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
0,
200
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/2XINjiyUo5",
"expanded_url": "https://x.com/omarsar0/status/1941957079331377475/photo/1",
"id_str": "1941957076647038976",
"indices": [
201,
224
],
"media_key": "3_1941957076647038976",
"media_url_https": "https://pbs.twimg.com/media/GvM3rBqaUAA_-2l.png",
"type": "photo",
"url": "https://t.co/2XINjiyUo5",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 896,
"w": 820,
"resize": "fit"
},
"medium": {
"h": 896,
"w": 820,
"resize": "fit"
},
"small": {
"h": 680,
"w": 622,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 896,
"width": 820,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 820,
"h": 459
},
{
"x": 0,
"y": 0,
"w": 820,
"h": 820
},
{
"x": 0,
"y": 0,
"w": 786,
"h": 896
},
{
"x": 0,
"y": 0,
"w": 448,
"h": 896
},
{
"x": 0,
"y": 0,
"w": 820,
"h": 896
}
]
},
"media_results": {
"result": {
"media_key": "3_1941957076647038976"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/2XINjiyUo5",
"expanded_url": "https://x.com/omarsar0/status/1941957079331377475/photo/1",
"id_str": "1941957076647038976",
"indices": [
201,
224
],
"media_key": "3_1941957076647038976",
"media_url_https": "https://pbs.twimg.com/media/GvM3rBqaUAA_-2l.png",
"type": "photo",
"url": "https://t.co/2XINjiyUo5",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 896,
"w": 820,
"resize": "fit"
},
"medium": {
"h": 896,
"w": 820,
"resize": "fit"
},
"small": {
"h": 680,
"w": 622,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 896,
"width": 820,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 820,
"h": 459
},
{
"x": 0,
"y": 0,
"w": 820,
"h": 820
},
{
"x": 0,
"y": 0,
"w": 786,
"h": 896
},
{
"x": 0,
"y": 0,
"w": 448,
"h": 896
},
{
"x": 0,
"y": 0,
"w": 820,
"h": 896
}
]
},
"media_results": {
"result": {
"media_key": "3_1941957076647038976"
}
}
}
]
},
"favorite_count": 1006,
"favorited": false,
"full_text": "Agentic RAG for Personalized Recommendation\n\nThis is a really good example of integrating agentic reasoning into RAG.\n\nLeads to better personalization and improved recommendations.\n\nHere are my notes: https://t.co/2XINjiyUo5",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 5,
"reply_count": 10,
"retweet_count": 171,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1941957079331377475"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1941957094405738949",
"sortIndex": "1953486780950904822",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1941957094405738949-tweet-1941957094405738949",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1941957094405738949",
"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": 31667,
"followers_count": 258918,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3762,
"name": "elvis",
"normal_followers_count": 258918,
"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": 15290,
"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": [
"1941957094405738949"
],
"editable_until_msecs": "1751837225000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3308",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"legacy": {
"bookmark_count": 11,
"bookmarked": false,
"created_at": "Sun Jul 06 20:27:05 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
0,
256
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/JgIGeYSgmh",
"expanded_url": "https://x.com/omarsar0/status/1941957094405738949/photo/1",
"id_str": "1941957092207906816",
"indices": [
257,
280
],
"media_key": "3_1941957092207906816",
"media_url_https": "https://pbs.twimg.com/media/GvM3r7oaUAAiBDK.jpg",
"type": "photo",
"url": "https://t.co/JgIGeYSgmh",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 14,
"y": 14,
"h": 224,
"w": 224
}
]
},
"medium": {
"faces": [
{
"x": 14,
"y": 14,
"h": 224,
"w": 224
}
]
},
"small": {
"faces": [
{
"x": 10,
"y": 10,
"h": 166,
"w": 166
}
]
},
"orig": {
"faces": [
{
"x": 14,
"y": 14,
"h": 224,
"w": 224
}
]
}
},
"sizes": {
"large": {
"h": 513,
"w": 916,
"resize": "fit"
},
"medium": {
"h": 513,
"w": 916,
"resize": "fit"
},
"small": {
"h": 381,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 513,
"width": 916,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 916,
"h": 513
},
{
"x": 270,
"y": 0,
"w": 513,
"h": 513
},
{
"x": 301,
"y": 0,
"w": 450,
"h": 513
},
{
"x": 398,
"y": 0,
"w": 257,
"h": 513
},
{
"x": 0,
"y": 0,
"w": 916,
"h": 513
}
]
},
"media_results": {
"result": {
"media_key": "3_1941957092207906816"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/JgIGeYSgmh",
"expanded_url": "https://x.com/omarsar0/status/1941957094405738949/photo/1",
"id_str": "1941957092207906816",
"indices": [
257,
280
],
"media_key": "3_1941957092207906816",
"media_url_https": "https://pbs.twimg.com/media/GvM3r7oaUAAiBDK.jpg",
"type": "photo",
"url": "https://t.co/JgIGeYSgmh",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 14,
"y": 14,
"h": 224,
"w": 224
}
]
},
"medium": {
"faces": [
{
"x": 14,
"y": 14,
"h": 224,
"w": 224
}
]
},
"small": {
"faces": [
{
"x": 10,
"y": 10,
"h": 166,
"w": 166
}
]
},
"orig": {
"faces": [
{
"x": 14,
"y": 14,
"h": 224,
"w": 224
}
]
}
},
"sizes": {
"large": {
"h": 513,
"w": 916,
"resize": "fit"
},
"medium": {
"h": 513,
"w": 916,
"resize": "fit"
},
"small": {
"h": 381,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 513,
"width": 916,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 916,
"h": 513
},
{
"x": 270,
"y": 0,
"w": 513,
"h": 513
},
{
"x": 301,
"y": 0,
"w": 450,
"h": 513
},
{
"x": 398,
"y": 0,
"w": 257,
"h": 513
},
{
"x": 0,
"y": 0,
"w": 916,
"h": 513
}
]
},
"media_results": {
"result": {
"media_key": "3_1941957092207906816"
}
}
}
]
},
"favorite_count": 28,
"favorited": false,
"full_text": "Overview\n\nThis work introduces a multi-agent framework, ARAG, that enhances traditional RAG systems with reasoning agents tailored to user modeling and contextual ranking.\n\nIt reframes recommendation as a structured coordination problem between LLM agents. https://t.co/JgIGeYSgmh",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "1941957094405738949"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1941957094405738949-tweet-1941957106674090085",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1941957106674090085",
"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": 31667,
"followers_count": 258918,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3762,
"name": "elvis",
"normal_followers_count": 258918,
"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": 15290,
"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": [
"1941957106674090085"
],
"editable_until_msecs": "1751837228000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2980",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDE5NTcxMDY1OTg2NTgwNDg=",
"text": "Instead of relying on static similarity-based retrieval, ARAG comprises four agents:\n\n- User Understanding Agent synthesizes user preferences from long-term and session behavior.\n\n- NLI Agent evaluates semantic alignment between candidate items and user intent.\n\n- Context Summary Agent condenses relevant item metadata.\n\n- Item Ranker Agent ranks final recommendations using all prior reasoning.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 8,
"bookmarked": false,
"created_at": "Sun Jul 06 20:27:08 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
0,
281
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 24,
"favorited": false,
"full_text": "Instead of relying on static similarity-based retrieval, ARAG comprises four agents:\n\n- User Understanding Agent synthesizes user preferences from long-term and session behavior.\n\n- NLI Agent evaluates semantic alignment between candidate items and user intent.\n\n- Context Summary…",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957094405738949",
"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": "1941957106674090085"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1941957094405738949-tweet-1941957123103178994",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1941957123103178994",
"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": 31667,
"followers_count": 258918,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3762,
"name": "elvis",
"normal_followers_count": 258918,
"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": 15290,
"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": [
"1941957123103178994"
],
"editable_until_msecs": "1751837232000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "8193",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDE5NTcxMjMwMjc2NDg1MTI=",
"text": "The agent collaboration is orchestrated via a blackboard-style memory, enabling cross-agent attention and interpretability.\n\nOn the Amazon Reviews dataset (Clothing, Electronics, Home), ARAG outperforms Vanilla RAG and recency-based baselines by up to +42.1% (NDCG@5) and +35.5% (Hit@5).",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 5,
"bookmarked": false,
"created_at": "Sun Jul 06 20:27:12 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
0,
279
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/uxhnmqx3DD",
"expanded_url": "https://x.com/omarsar0/status/1941957123103178994/photo/1",
"id_str": "1941957120255254528",
"indices": [
280,
303
],
"media_key": "3_1941957120255254528",
"media_url_https": "https://pbs.twimg.com/media/GvM3tkHa4AA0DOW.png",
"type": "photo",
"url": "https://t.co/uxhnmqx3DD",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 804,
"y": 46,
"h": 101,
"w": 101
}
]
},
"medium": {
"faces": [
{
"x": 798,
"y": 45,
"h": 100,
"w": 100
}
]
},
"small": {
"faces": [
{
"x": 452,
"y": 25,
"h": 56,
"w": 56
}
]
},
"orig": {
"faces": [
{
"x": 804,
"y": 46,
"h": 101,
"w": 101
}
]
}
},
"sizes": {
"large": {
"h": 472,
"w": 1208,
"resize": "fit"
},
"medium": {
"h": 469,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 266,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 472,
"width": 1208,
"focus_rects": [
{
"x": 365,
"y": 0,
"w": 843,
"h": 472
},
{
"x": 639,
"y": 0,
"w": 472,
"h": 472
},
{
"x": 668,
"y": 0,
"w": 414,
"h": 472
},
{
"x": 757,
"y": 0,
"w": 236,
"h": 472
},
{
"x": 0,
"y": 0,
"w": 1208,
"h": 472
}
]
},
"media_results": {
"result": {
"media_key": "3_1941957120255254528"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/uxhnmqx3DD",
"expanded_url": "https://x.com/omarsar0/status/1941957123103178994/photo/1",
"id_str": "1941957120255254528",
"indices": [
280,
303
],
"media_key": "3_1941957120255254528",
"media_url_https": "https://pbs.twimg.com/media/GvM3tkHa4AA0DOW.png",
"type": "photo",
"url": "https://t.co/uxhnmqx3DD",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 804,
"y": 46,
"h": 101,
"w": 101
}
]
},
"medium": {
"faces": [
{
"x": 798,
"y": 45,
"h": 100,
"w": 100
}
]
},
"small": {
"faces": [
{
"x": 452,
"y": 25,
"h": 56,
"w": 56
}
]
},
"orig": {
"faces": [
{
"x": 804,
"y": 46,
"h": 101,
"w": 101
}
]
}
},
"sizes": {
"large": {
"h": 472,
"w": 1208,
"resize": "fit"
},
"medium": {
"h": 469,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 266,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 472,
"width": 1208,
"focus_rects": [
{
"x": 365,
"y": 0,
"w": 843,
"h": 472
},
{
"x": 639,
"y": 0,
"w": 472,
"h": 472
},
{
"x": 668,
"y": 0,
"w": 414,
"h": 472
},
{
"x": 757,
"y": 0,
"w": 236,
"h": 472
},
{
"x": 0,
"y": 0,
"w": 1208,
"h": 472
}
]
},
"media_results": {
"result": {
"media_key": "3_1941957120255254528"
}
}
}
]
},
"favorite_count": 18,
"favorited": false,
"full_text": "The agent collaboration is orchestrated via a blackboard-style memory, enabling cross-agent attention and interpretability.\n\nOn the Amazon Reviews dataset (Clothing, Electronics, Home), ARAG outperforms Vanilla RAG and recency-based baselines by up to +42.1% (NDCG@5) and +35.5%… https://t.co/uxhnmqx3DD",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957106674090085",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 1,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1941957123103178994"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1941957094405738949-tweet-1941957135585448237",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1941957135585448237",
"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": 31667,
"followers_count": 258918,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3762,
"name": "elvis",
"normal_followers_count": 258918,
"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": 15290,
"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": [
"1941957135585448237"
],
"editable_until_msecs": "1751837235000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "7114",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://typefully.com/\" rel=\"nofollow\">Typefully</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDE5NTcxMzU0NDcwMTU0MjQ=",
"text": "Ablation shows that each agent’s contribution, with especially large gains from the NLI and Context Summary agents in categories where semantic fit (e.g., fashion) is critical.\n\nThis work demonstrates that incorporating agentic reasoning into RAG pipelines leads to more personalized, semantically grounded recommendations.\n\nPaper: https://t.co/5OYrITIQmG",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2506.21931",
"expanded_url": "https://www.arxiv.org/abs/2506.21931",
"url": "https://t.co/5OYrITIQmG",
"indices": [
332,
355
]
}
],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 13,
"bookmarked": false,
"created_at": "Sun Jul 06 20:27:15 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
0,
271
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 26,
"favorited": false,
"full_text": "Ablation shows that each agent’s contribution, with especially large gains from the NLI and Context Summary agents in categories where semantic fit (e.g., fashion) is critical.\n\nThis work demonstrates that incorporating agentic reasoning into RAG pipelines leads to more…",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957123103178994",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1941957135585448237"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1941957123103178994"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1942140194993664197",
"sortIndex": "1953486780950904812",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1942140194993664197-tweet-1942140194993664197",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1942140194993664197",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMDYyMDM0MzIzMjQ5ODgxMDg4",
"rest_id": "1062034323249881088",
"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": "Mon Nov 12 17:28:09 +0000 2018",
"default_profile": true,
"default_profile_image": false,
"description": "Ai Updates | Post about Ai Innovation, Tools, Tech, Career and Jobs | 500k+ Followers Across All Platforms",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linktr.ee/codewithimansh…",
"expanded_url": "https://linktr.ee/codewithimanshu.in",
"url": "https://t.co/dt6KPRmVjm",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 73522,
"followers_count": 20741,
"friends_count": 272,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 118,
"location": "Check Me Here👉",
"media_count": 4468,
"name": "Himanshu Kumar",
"normal_followers_count": 20741,
"pinned_tweet_ids_str": [
"1953373070225485918"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1062034323249881088/1702925578",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1736815259951017986/Hyit0PGJ_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "codewithimanshu",
"statuses_count": 66316,
"translator_type": "none",
"url": "https://t.co/dt6KPRmVjm",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1642959797803958272",
"professional_type": "Creator",
"category": []
},
"tipjar_settings": {
"is_enabled": false
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1942140194993664197"
],
"editable_until_msecs": "1751880880000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "729",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 07 08:34:40 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
88
],
"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 Interesting, could personalized recommendations become *too* personal, though?",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "1062034323249881088",
"id_str": "1942140194993664197"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1942140194993664197"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1942284465147174997",
"sortIndex": "1953486780950904802",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1942284465147174997-tweet-1942284465147174997",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1942284465147174997",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODQ1NzcwNjc3ODEyNjMzNjAw",
"rest_id": "1845770677812633600",
"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": "Mon Oct 14 10:16:52 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "Delivering real-time blockchain intelligence to power on-chain AI agents integrating Real World Assets (RWAs).",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linktr.ee/GraphAi",
"expanded_url": "https://linktr.ee/GraphAi",
"url": "https://t.co/g05Bu5TCsI",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 309,
"followers_count": 8998,
"friends_count": 34,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 4,
"location": "",
"media_count": 160,
"name": "GraphAI",
"normal_followers_count": 8998,
"pinned_tweet_ids_str": [
"1945556787056484517"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1845770677812633600/1734438477",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1868390364836483072/lGxvb3FF_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "GraphAIOfficial",
"statuses_count": 455,
"translator_type": "none",
"url": "https://t.co/g05Bu5TCsI",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1942284465147174997"
],
"editable_until_msecs": "1751915277000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "637",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 07 18:07:57 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
103
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@omarsar0 Curious how ARAG arbitrates between persistent and session-based user signals during ranking?",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "1845770677812633600",
"id_str": "1942284465147174997"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1942284465147174997"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1942210331725447196",
"sortIndex": "1953486780950904792",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1942210331725447196-tweet-1942210331725447196",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1942210331725447196",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjMzODI0MDQ2Mzc4MDEyNjcz",
"rest_id": "1633824046378012673",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Thu Mar 09 13:36:36 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "idea builder / find then found AI / Agents / Music",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 63,
"followers_count": 32,
"friends_count": 192,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "Zurich",
"media_count": 0,
"name": "Adam",
"normal_followers_count": 32,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1633824046378012673/1681169217",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1942250486188388352/txprowA2_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "AdamZinebi0",
"statuses_count": 46,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1645569334914236418",
"professional_type": "Creator",
"category": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1942210331725447196"
],
"editable_until_msecs": "1751897602000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "410",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 07 13:13:22 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
19
],
"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 Awesome !",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "1633824046378012673",
"id_str": "1942210331725447196"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1942210331725447196"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1942253778700206568",
"sortIndex": "1953486780950904782",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1942253778700206568-tweet-1942253778700206568",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1942253778700206568",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxOTExNTcxMDQ0MTE0MDU1MTY4",
"rest_id": "1911571044114055168",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Mon Apr 14 00:04:21 +0000 2025",
"default_profile": true,
"default_profile_image": false,
"description": "Regulation alerts for AI, Crypto & DeFi—before rules hit. Tracking 25+ U.S./EU agencies.\n→ https://t.co/iWM9fqVC4u",
"entities": {
"description": {
"urls": [
{
"display_url": "linkedin.com/company/digita…",
"expanded_url": "http://linkedin.com/company/digitalregintel",
"url": "https://t.co/iWM9fqVC4u",
"indices": [
91,
114
]
}
]
},
"url": {
"urls": [
{
"display_url": "digitalregintel.com",
"expanded_url": "http://Www.digitalregintel.com",
"url": "https://t.co/dMOR2gRYjj",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 2152,
"followers_count": 137,
"friends_count": 190,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "USA",
"media_count": 22,
"name": "DigitalRegIntel",
"normal_followers_count": 137,
"pinned_tweet_ids_str": [
"1931823068185285017"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1911571044114055168/1747903384",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1914447867374395392/ycjAZVKG_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "RegIntelX",
"statuses_count": 2302,
"translator_type": "none",
"url": "https://t.co/dMOR2gRYjj",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1942253778700206568"
],
"editable_until_msecs": "1751907960000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "345",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 07 16:06:00 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
144
],
"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 Fascinating take on ARAG! \n\nThe multi-agent approach with blackboard-style memory really seems to push personalization to new heights.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "1911571044114055168",
"id_str": "1942253778700206568"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1942253778700206568"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1941963234401268129",
"sortIndex": "1953486780950904772",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1941963234401268129-tweet-1941963234401268129",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1941963234401268129",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMzE0NDM3NjM0",
"rest_id": "1314437634",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Mar 29 16:55:52 +0000 2013",
"default_profile": false,
"default_profile_image": false,
"description": "Senior Techno functional Data Science Manager key expertise in NLP Spark and end to end solutioning Tableau lover.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 29157,
"followers_count": 465,
"friends_count": 677,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 83,
"location": "Seattle, WA",
"media_count": 332,
"name": "Shivi Bhatia",
"normal_followers_count": 465,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1282390097480912896/5AtGM5sz_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "Shivipmp",
"statuses_count": 7770,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1608209593620135936",
"professional_type": "Creator",
"category": [
{
"id": 1049,
"name": "Data scientist",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": true
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1941963234401268129"
],
"editable_until_msecs": "1751838689000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1299",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jul 06 20:51:29 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
139
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@omarsar0 Isn’t all these agents just python wrappers who understand the previous and next state rest all is through LLM inherited learning",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1314437634",
"id_str": "1941963234401268129"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1941963234401268129"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1942251586052575742",
"sortIndex": "1953486780950904762",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1942251586052575742-tweet-1942251586052575742",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1942251586052575742",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDk3NDMzNTY4ODQyMTE3MTIy",
"rest_id": "1497433568842117122",
"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 Feb 26 04:49:37 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "code/record/",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1140,
"followers_count": 10,
"friends_count": 407,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 0,
"location": "Singapore",
"media_count": 13,
"name": "0723",
"normal_followers_count": 10,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1497433568842117122/1649927270",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1704884016850325504/_E1J24fK_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "pillarlz",
"statuses_count": 138,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1942251586052575742"
],
"editable_until_msecs": "1751907438000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "301",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 07 15:57:18 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
172
],
"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 In practical applications, recommendations require a certain degree of timeliness, which this multi-agent collaborative approach is currently unable to guarantee.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "1497433568842117122",
"id_str": "1942251586052575742"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1942251586052575742"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1951408095915360762",
"sortIndex": "1953486780950904752",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1951408095915360762-tweet-1951408095915360762",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1951408095915360762",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODQ1NDczMzAwMDAyMDk1MTA1",
"rest_id": "1845473300002095105",
"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 Oct 13 14:35:29 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "8647. Taco Trump Traitor. Drumpf is German for dumb fuc",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 2012,
"followers_count": 622,
"friends_count": 237,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 3,
"location": "",
"media_count": 778,
"name": "Wally",
"normal_followers_count": 622,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1845473300002095105/1737129350",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1871198907666984960/L0vOi0b1_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "WWallyw272049",
"statuses_count": 22705,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1951408095915360762"
],
"editable_until_msecs": "1754090520000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5",
"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 Aug 01 22:22:00 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
90
],
"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 Integrating rag into agentic. RAG is just one tool in a broader agentic toolkit.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "1845473300002095105",
"id_str": "1951408095915360762"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1951408095915360762"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1942094711524671988",
"sortIndex": "1953486780950904742",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1942094711524671988-tweet-1942094711524671988",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1942094711524671988",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNjYyMzM0Mw==",
"rest_id": "36623343",
"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": "Thu Apr 30 08:26:25 +0000 2009",
"default_profile": false,
"default_profile_image": false,
"description": "Founder @PromptLeo, @AskDynaPictures. Prev. tech lead @oracle, tweets about AI, SaaS, marketing",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dynapictures.com",
"expanded_url": "https://dynapictures.com",
"url": "https://t.co/Ow5j7mYDBA",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 772,
"followers_count": 539,
"friends_count": 5729,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 6,
"location": "",
"media_count": 24,
"name": "Alex 📚 PromptLeo",
"normal_followers_count": 539,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1547876753598586882/2sZtEIJr_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "alexzender",
"statuses_count": 295,
"translator_type": "none",
"url": "https://t.co/Ow5j7mYDBA",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/rJ9SGFP74r",
"legacy": {
"binding_values": [
{
"key": "thumbnail_image",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 144,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=144x144_2"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Retrieval-Augmented Generation (RAG) has shown promise in enhancing recommendation systems by incorporating external context into large language model prompts. However, existing RAG-based...",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 420,
"width": 420,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=420x420_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "808633423300624384",
"path": []
}
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 100,
"width": 100,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=100x100_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_alt_text",
"value": {
"string_value": "arXiv logo",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 94.17
},
{
"rgb": {
"blue": 105,
"green": 116,
"red": 124
},
"percentage": 4.33
},
{
"rgb": {
"blue": 46,
"green": 21,
"red": 170
},
"percentage": 1.26
},
{
"rgb": {
"blue": 131,
"green": 116,
"red": 203
},
"percentage": 0.23
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "ARAG: Agentic Retrieval Augmented Generation for Personalized...",
"type": "STRING"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/rJ9SGFP74r",
"type": "STRING"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary",
"url": "https://t.co/rJ9SGFP74r",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjo4MDg2MzM0MjMzMDA2MjQzODQ=",
"rest_id": "808633423300624384",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Dec 13 11:23:26 +0000 2016",
"default_profile": false,
"default_profile_image": false,
"description": "News from https://t.co/enurGFxpcS, a free distribution service and an open archive for scholarly articles.\n\nFor help with arXiv, see https://t.co/LcWuhM0BOl",
"entities": {
"description": {
"urls": [
{
"display_url": "arXiv.org",
"expanded_url": "http://arXiv.org",
"url": "https://t.co/enurGFxpcS",
"indices": [
10,
33
]
},
{
"display_url": "arxiv.org/help",
"expanded_url": "https://arxiv.org/help",
"url": "https://t.co/LcWuhM0BOl",
"indices": [
133,
156
]
}
]
},
"url": {
"urls": [
{
"display_url": "arxiv.org",
"expanded_url": "https://arxiv.org/",
"url": "https://t.co/DHMkdi4lF9",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 948,
"followers_count": 41364,
"friends_count": 187,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 487,
"location": "Ithaca, NY",
"media_count": 109,
"name": "arXiv.org",
"normal_followers_count": 41364,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/808633423300624384/1481635469",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1365352170267299840/IzvjKckL_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "arxiv",
"statuses_count": 1106,
"translator_type": "none",
"url": "https://t.co/DHMkdi4lF9",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1942094711524671988"
],
"editable_until_msecs": "1751870036000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "555",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 07 05:33:56 +0000 2025",
"conversation_id_str": "1941957079331377475",
"display_text_range": [
10,
65
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "arxiv.org/abs/2506.21931",
"expanded_url": "https://arxiv.org/abs/2506.21931",
"url": "https://t.co/rJ9SGFP74r",
"indices": [
42,
65
]
}
],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 5,
"favorited": false,
"full_text": "@omarsar0 Here is the link to the paper - https://t.co/rJ9SGFP74r",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1941957079331377475",
"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": "36623343",
"id_str": "1942094711524671988"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1942094711524671988"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-showmorethreads-1953486780950904741",
"sortIndex": "1953486780950904741",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxwt4JP__6MLAAIAAACoRW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUEwYTh6ZXN1cG9SUXhyenRObTRsOEgwR3ZNM3VkT2JFUzBiRk10VEFOdEIraHJ6TjdNWVdzQmxHdlBlTjZxYThNVWE4ejFGMFZzeG9ScjBRNGJyR2xIK0d2UWVBYVdXd0J3YTlHRnVMZHRnVlJyMFJZVnZGZ0hvR3ZNM3R1dWF3UElhOHpld1BScVJ4UT09CAADAAAABwAA",
"cursorType": "ShowMoreThreads",
"displayTreatment": {
"actionText": "Show probable spam"
}
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}