{"as_of":"2026-08-10T14:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d117a5118c7a1a50c79e510572a1c37949078769a72baef81bfd8584f241b9a9","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":23,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:15:47.935226Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-07T14:15:47.935226Z","title":"Towards agentic recommender systems in the era of multimodal large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19443","last_updated":"2025-05-26T03:00:21Z","snapshot_observed_at":"2026-08-07T14:11:48.229560Z","submitted_at":"2025-05-26T03:00:21Z","title":"Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI","version":1},"reference_index":167,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:47.935226Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2505.19443"},"observation_digest":"sha256:c86fec12ff78f794a5e7c64ed508416a3cf1290ff3d13efadda0f6ca3a422f0c","observation_id":"3d7a4cc3-5c57-40d2-9106-d55a27dc3b19","resolution":{"observed_at":"2026-08-07T14:15:47.935226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-07T14:14:09.416079Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19623","last_updated":"2025-05-28T14:32:56Z","snapshot_observed_at":"2026-08-07T14:07:44.224059Z","submitted_at":"2025-05-26T07:45:11Z","title":"AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:14:09.416079Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2505.19623"},"observation_digest":"sha256:7a33dbf60cc17c2393087ab6dc922d459812b1814e1da915f7afe5ec6b94fd99","observation_id":"66637594-8eb4-441f-872c-840813ae97da","resolution":{"observed_at":"2026-08-07T14:14:09.416079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-04T17:56:38.786978Z","title":"Rossi, Branislav Kveton, Dongruo Zhou, Julian McAuley, and Lina Yao","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10397","last_updated":"2026-07-25T20:09:07Z","snapshot_observed_at":"2026-08-07T01:01:23.391389Z","submitted_at":"2025-09-12T16:44:34Z","title":"RecoWorld: Building Simulated Environments for Agentic Recommender Systems","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-04T17:56:38.786978Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2509.10397"},"observation_digest":"sha256:392051c9ff62a9d82707797cbf2a387dc7a5d313ac1d48fee05956b8640e9c98","observation_id":"4c82896c-10b4-47a0-918e-0b4aafa55f7a","resolution":{"observed_at":"2026-08-04T17:56:38.786978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2604.14223","last_updated":"2026-04-14T12:35:21Z","snapshot_observed_at":"2026-08-07T19:20:41.099057Z","submitted_at":"2026-04-14T12:35:21Z","title":"TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T14:38:34.377387Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2604.14223"},"observation_digest":"sha256:b5c3ab817ba33a8f43356fc57aa0cdd1627e7f4c93993742e7f282c86607a659","observation_id":"335effd0-c58b-45b1-8773-219a1ddc6801","resolution":{"observed_at":"2026-05-10T14:40:32.707859Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2604.24564","last_updated":"2026-04-30T01:34:01Z","snapshot_observed_at":"2026-07-06T23:10:33.821313Z","submitted_at":"2026-04-27T14:51:00Z","title":"MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T03:51:49.033280Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2604.24564"},"observation_digest":"sha256:a3df4cc4583873838cf0ed693178dda0a71aa083f18f01ed23af6f55931795cc","observation_id":"00def110-0162-4fff-b7bc-e0dcb9d87f94","resolution":{"observed_at":"2026-05-11T21:56:12.177338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2604.26760","last_updated":"2026-04-29T14:55:53Z","snapshot_observed_at":"2026-08-08T08:27:29.904066Z","submitted_at":"2026-04-29T14:55:53Z","title":"Factorized Latent Reasoning for LLM-based Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-07T11:19:46.718542Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2604.26760"},"observation_digest":"sha256:b1ff5506450073baa269765627472376bc029670b62e26b61a48bd2f032867e5","observation_id":"c7d23993-ee4f-40d3-b1a2-4c9b5740c659","resolution":{"observed_at":"2026-05-12T09:21:25.793005Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2604.27600","last_updated":"2026-04-30T08:50:03Z","snapshot_observed_at":"2026-07-06T23:13:02.921765Z","submitted_at":"2026-04-30T08:50:03Z","title":"Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-07T07:19:44.125479Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2604.27600"},"observation_digest":"sha256:e77c130229425d2a9a27703a979d982c44f7c4c3a5b6023ba344931671dc33a4","observation_id":"cfdd95a7-e8fc-45db-a81d-dc5a308b883b","resolution":{"observed_at":"2026-05-12T10:11:28.110259Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2605.02379","last_updated":"2026-05-04T09:18:38Z","snapshot_observed_at":"2026-08-08T14:19:09.847193Z","submitted_at":"2026-05-04T09:18:38Z","title":"Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T18:16:45.474902Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2605.02379"},"observation_digest":"sha256:ba7aef009fb0fb6e142968f4e45ece295706c05314a87f6b99c314958dea54f3","observation_id":"32d111d8-e8db-45ec-b401-184e70fbe060","resolution":{"observed_at":"2026-05-09T06:35:40.953202Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2605.08526","last_updated":"2026-05-08T22:17:54Z","snapshot_observed_at":"2026-08-02T11:50:00.146281Z","submitted_at":"2026-05-08T22:17:54Z","title":"Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-05-12T01:24:59.721212Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2605.08526"},"observation_digest":"sha256:ac212085eb8bf99bf4bf03209ebd17caa6194ee26d1c3c27b5bbb65990e191cc","observation_id":"d434c5d9-2684-433e-a6ff-33c5dcb44242","resolution":{"observed_at":"2026-05-12T08:01:28.202507Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2605.11169","last_updated":"2026-05-11T19:28:20Z","snapshot_observed_at":"2026-07-06T23:23:02.025664Z","submitted_at":"2026-05-11T19:28:20Z","title":"OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-05-13T02:24:42.530103Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2605.11169"},"observation_digest":"sha256:18463d48c7a85fec59e95b9658034e009d1cdbb8d8d883245ccd7bb97844a6e4","observation_id":"326ec5f8-daa8-46f8-bfaf-296000cdc477","resolution":{"observed_at":"2026-05-13T02:27:07.221788Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2605.11874","last_updated":"2026-05-12T09:52:21Z","snapshot_observed_at":"2026-07-06T23:23:39.723268Z","submitted_at":"2026-05-12T09:52:21Z","title":"RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T05:04:08.454422Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2605.11874"},"observation_digest":"sha256:f3efb37dcce1adc213c2de024bd3f56d032e8db64b14e0d95ade9d94245d0c34","observation_id":"7b39863a-f738-4636-b733-5e73b40a17da","resolution":{"observed_at":"2026-05-13T05:07:17.496339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2605.12995","last_updated":"2026-05-13T04:52:33Z","snapshot_observed_at":"2026-08-08T23:50:01.801764Z","submitted_at":"2026-05-13T04:52:33Z","title":"F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-14T19:51:45.657658Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2605.12995"},"observation_digest":"sha256:4851c336b11a7b1d241b49e31652f07c51566d8754e0f7dd6b0e2302adade6d9","observation_id":"1719341a-ef87-41cb-8c98-9812995fcc8b","resolution":{"observed_at":"2026-05-14T19:52:52.358216Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2605.14628","last_updated":"2026-05-14T09:40:35Z","snapshot_observed_at":"2026-08-08T08:50:05.965258Z","submitted_at":"2026-05-14T09:40:35Z","title":"SmartWalkCoach: An AI Companion for End-to-End Walking Guidance, Motivation, and Reflection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T20:37:54.610523Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2605.14628"},"observation_digest":"sha256:6828755b4d4c6327eb46560cc58f91a325ad871c7584b7408b355a8e9c49ae37","observation_id":"a6826159-a71e-4792-81df-475bba00b3e5","resolution":{"observed_at":"2026-06-30T20:45:03.275665Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2605.18805","last_updated":"2026-05-11T18:55:32Z","snapshot_observed_at":"2026-08-01T14:27:48.374407Z","submitted_at":"2026-05-11T18:55:32Z","title":"RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T22:27:16.974169Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2605.18805"},"observation_digest":"sha256:a0d2e8cf31cdd9ab7195af763b58b480a7acb0f5f9a106db8f6a3e04a11fdfea","observation_id":"f5d34ab0-ae3f-483d-8373-bce7adc51295","resolution":{"observed_at":"2026-05-20T22:29:09.311662Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":"2503.16734","doi":"10.48550/arxiv.2503.16734","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards agentic recommender systems in the era of multimodal large language models","venue":"ArXiv.org","work_id":"7ca3bd88-cdb6-4663-81b0-060d755293d7","year":2025},"citing_paper":{"arxiv_id":"2606.29762","last_updated":"2026-07-10T03:14:55Z","snapshot_observed_at":"2026-08-09T22:41:29.681189Z","submitted_at":"2026-06-29T04:16:08Z","title":"Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T04:45:49.798987Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2606.29762"},"observation_digest":"sha256:8ecedb43c1f4ac403fafa2dbfbe6d77119b3f8baa19b4f2fd6ba0ea69bb3c859","observation_id":"a135567a-c9ea-4375-b713-7cb03e314083","resolution":{"observed_at":"2026-06-30T16:24:57.377156Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-07-13T07:14:21.482287Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.29762","last_updated":"2026-07-10T03:14:55Z","snapshot_observed_at":"2026-08-09T22:41:29.681189Z","submitted_at":"2026-06-29T04:16:08Z","title":"Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-13T07:14:21.482287Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2606.29762"},"observation_digest":"sha256:a10c9639c59254e4130766fc9a2da36c20b1819abba3b6e4ed75567bf480da21","observation_id":"848212e0-8452-4101-af09-cabf25cd5f92","resolution":{"observed_at":"2026-07-13T07:14:21.482287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-07-11T23:02:18.007239Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03918","last_updated":"2026-07-04T15:22:30Z","snapshot_observed_at":"2026-08-07T10:59:20.293829Z","submitted_at":"2026-07-04T15:22:30Z","title":"Beyond Item Order: Temporal Gap Tokenization for Generative Recommendation with Semantic IDs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T23:02:18.007239Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2607.03918"},"observation_digest":"sha256:b79007904ddb212f6781c7ddcdf1fd50e51cbee39dbac1ab992c4a4e9e5ac07e","observation_id":"7916742b-f54b-48aa-8547-379bbd7f6c3b","resolution":{"observed_at":"2026-07-11T23:02:18.007239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-07-11T19:14:13.105401Z","title":"arXiv preprint arXiv:2503.16734 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04433","last_updated":"2026-07-05T17:55:05Z","snapshot_observed_at":"2026-08-04T17:53:26.891888Z","submitted_at":"2026-07-05T17:55:05Z","title":"Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-11T19:14:13.105401Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2607.04433"},"observation_digest":"sha256:01c802810a5c5b99f6153fec03234ff30b743c538fbc68b41992404683c47b90","observation_id":"de24e927-d170-4cd1-8bcb-9848ae75c9f1","resolution":{"observed_at":"2026-07-11T19:14:13.105401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-02T05:40:33.703390Z","title":"Towards agentic recommender systems in the era of multimodal large language models.arXiv preprint arXiv:2503.16734, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13285","last_updated":"2026-07-14T21:39:55Z","snapshot_observed_at":"2026-08-06T16:12:32.611582Z","submitted_at":"2026-07-14T21:39:55Z","title":"Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T05:40:33.703390Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2607.13285"},"observation_digest":"sha256:2379c00a3807d232091372c6456282d53d67094c8cd385e8e3e63369d2f128d0","observation_id":"e20767b8-5b8a-4fa4-8312-cce478c7d747","resolution":{"observed_at":"2026-08-02T05:40:33.703390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-01T06:10:10.859399Z","title":"arXiv preprint arXiv:2503.16734 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21993","last_updated":"2026-07-24T05:38:46Z","snapshot_observed_at":"2026-08-09T21:15:37.113274Z","submitted_at":"2026-07-24T05:38:46Z","title":"Three-Body Alignment: Aligning Chess Agent with Human Reasoning through Reranked Rationale","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T06:10:10.859399Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2607.21993"},"observation_digest":"sha256:f49b2f51318a3c7ed6a0da8b2a450ff34e468337e28928e24efd776cdf211d84","observation_id":"336d7cae-21e2-460b-9114-13c3f1ab7b12","resolution":{"observed_at":"2026-08-01T06:10:10.859399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-01T20:37:15.441480Z","title":"doi:10.48550/arXiv.2503.16734","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24822","last_updated":"2026-07-18T01:18:18Z","snapshot_observed_at":"2026-08-08T06:06:46.111163Z","submitted_at":"2026-07-18T01:18:18Z","title":"A Position Paper on Recommender Systems in the Era of Autonomous Agents","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T20:37:15.441480Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2607.24822"},"observation_digest":"sha256:f6d4183ae1b9ed2c5a339d6f5b421f8c28bbf3fa57d446f356124e315dddb46f","observation_id":"e5bb53bb-de0b-443c-a726-79d86b5d94fa","resolution":{"observed_at":"2026-08-01T20:37:15.441480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-04T17:56:23.637340Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01949","last_updated":"2026-08-03T09:20:53Z","snapshot_observed_at":"2026-08-09T02:56:13.954614Z","submitted_at":"2026-08-03T09:20:53Z","title":"A Self-Triggered Agentic Push Recommendation System","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T17:56:23.637340Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2608.01949"},"observation_digest":"sha256:7f503c9f06e7170f8a580d7de052707e380d395a134073dc421c0df4d61290a4","observation_id":"00d221a3-45b2-4756-94b0-8a96ff3bc536","resolution":{"observed_at":"2026-08-04T17:56:23.637340Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16734","snapshot_observed_at":"2026-08-05T22:07:42.038221Z","title":"arXiv:2503.16734 [cs.AI] https://arxiv.org/abs/2503.16734","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03272","last_updated":"2026-08-04T07:49:58Z","snapshot_observed_at":"2026-08-08T22:52:38.078964Z","submitted_at":"2026-08-04T07:49:58Z","title":"Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T22:07:42.038221Z"},"links":{"cited_paper":"/paper/2503.16734","citing_paper":"/paper/2608.03272"},"observation_digest":"sha256:ba82f0f5bb3e88991c9bf3ac0ea6c7c4d975bed189174989949e55a4102f7ccb","observation_id":"9e9a32d8-801a-4106-80f1-a2fcb03e24bd","resolution":{"observed_at":"2026-08-05T22:07:42.038221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.16734/citation-record","integrity":"/paper/2503.16734/integrity","json":"/paper/2503.16734/citation-record.json","paper":"/paper/2503.16734"},"outbound":[],"paper":{"arxiv_id":"2503.16734","last_updated":"2025-03-20T22:37:15Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T01:12:49.504662Z","submitted_at":"2025-03-20T22:37:15Z","title":"Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2503.16734."}