{"as_of":"2026-08-05T07:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ec18c3f21fcda80b24e35352fac2b8c973d42c6fa7e6e172a0a1847cc0b9009","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T06:38:30.335029Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T16:08:56.103382Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-01T16:15:49.146041Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"cited_work":{"arxiv_id":"2605.11814","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.11814","snapshot_observed_at":"2026-07-01T16:15:49.146041Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","venue":"cs.AI","work_id":"ada57957-26bc-411c-b325-94be78704e6e","year":2026},"citing_paper":{"arxiv_id":"2605.27466","last_updated":"2026-05-26T08:10:52Z","snapshot_observed_at":"2026-08-03T04:11:32.266765Z","submitted_at":"2026-05-26T08:10:52Z","title":"AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-01T16:08:56.103382Z"},"links":{"cited_paper":"/paper/2605.11814","citing_paper":"/paper/2605.27466"},"observation_digest":"sha256:4ee114c81601ff4c233d8f5489f8ef91b1b4db1ff9b5e6a764f3fba1e2bd7204","observation_id":"e6a07fe2-7c42-4c91-b7de-fc3e14a33298","resolution":{"observed_at":"2026-07-01T16:15:49.147507Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2605.11814/citation-record","integrity":"/paper/2605.11814/integrity","json":"/paper/2605.11814/citation-record.json","paper":"/paper/2605.11814"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ant Afu - Your AI Health Companion.https://www.antafu.com, 12 2025","venue":null,"work_id":"04ebde45-3da8-406e-b6d7-4e6a7fa528aa","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:1f18768397763e7393c6c95cce2d9ade8e3c8a127917279c01a9e23b082c3ee7","observation_id":"ae6589a0-3cb6-43ca-8347-bf2bacabb764","resolution":{"observed_at":"2026-05-13T06:42:27.564742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T09:37:01.251886Z","title":"Longbench: A bilingual, multitask benchmark for long context understanding","venue":null,"work_id":"217e4962-b6b3-4402-ab00-96bc6344fb75","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:4811f26db9412790ac43ab80b5a9ded43a22f1f51ff7d465adc147e95d559953","observation_id":"dbc2a527-080e-40ef-bb21-311f4677a422","resolution":{"observed_at":"2026-05-13T06:42:27.569586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.10696","last_updated":"2026-04-15T07:24:43Z","snapshot_observed_at":"2026-07-06T22:38:45.907386Z","submitted_at":"2025-12-11T14:40:01Z","title":"Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution","version":2},"cited_work":{"arxiv_id":"2512.10696","doi":"10.48550/arxiv.2512.10696","metadata_source":"pith","pith_arxiv_id":"2512.10696","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution","venue":"cs.AI","work_id":"e1808e0d-921b-46dd-b221-96110080aa71","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2512.10696","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:026025a07ac0f05add97222378f7754b44f2f823a21f27bef00299d79a493407","observation_id":"2f358802-6fcf-410d-91ab-2331e5b60cef","resolution":{"observed_at":"2026-05-13T06:42:26.378132Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.03506","doi":"10.48550/arxiv.2511.03506","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Prateek Chhikara, Dev Khant, Saket Aryan, Taranjeet Singh, and Deshraj Yadav","venue":"ArXiv.org","work_id":"7ca25b51-b6cf-4bc9-b1cf-e521d7651cf1","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:48e567466eade9d6c70a065a503985cb37dea9ff56089caffa117d418f4048cc","observation_id":"8bbfeb6b-3df1-44ee-b8d9-661f4b81e8a7","resolution":{"observed_at":"2026-05-13T06:42:26.371172Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19413","last_updated":"2025-04-28T01:46:35Z","snapshot_observed_at":"2026-08-02T07:32:11.339534Z","submitted_at":"2025-04-28T01:46:35Z","title":"Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2504.19413","doi":"10.48550/arxiv.2504.19413","metadata_source":"pith","pith_arxiv_id":"2504.19413","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory","venue":"cs.CL","work_id":"a5aed26c-a248-48b6-a59e-f7693fcb180a","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2504.19413","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:b2eaa1fc3e539f8240d00dad31492bfc80f3197f004d985124a7f65602d1e083","observation_id":"e1e8b688-43fe-480f-ab5a-609a8cfffbf5","resolution":{"observed_at":"2026-05-13T06:42:26.285186Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A coefficient of agreement for nominal scales.Educational and psychological measurement, 20(1): 37–46","venue":null,"work_id":"401fc012-e91d-4a88-9e8a-4f8c54bd57ef","year":1960},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:ced7526aeebc5c2d2651ef539e96d18a6dd57bbbcc091d134f77939e59a615bb","observation_id":"2580311c-5e65-4706-949b-70a6c5e6299e","resolution":{"observed_at":"2026-05-13T06:42:27.557078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-07-06T18:05:11.700127Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":"2404.16130","doi":"10.48550/arxiv.2404.16130","metadata_source":"pith","pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","venue":"cs.CL","work_id":"588618d7-fd41-4053-b34d-a981f8793039","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:718d7ec935e59a11174e29bdd17410714ab45e2b25eb14fba1d2f9f5b4734b42","observation_id":"ad3decdb-2345-4932-bae4-4d4c85f5a49f","resolution":{"observed_at":"2026-05-13T06:42:26.357897Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-11T05:49:57.694079+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T05:49:57.694079+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.18866","last_updated":"2026-02-28T11:55:50Z","snapshot_observed_at":"2026-07-06T22:33:43.999976Z","submitted_at":"2025-10-21T17:58:17Z","title":"LightMem: Lightweight and Efficient Memory-Augmented Generation","version":4},"cited_work":{"arxiv_id":"2510.18866","doi":"10.48550/arxiv.2510.18866","metadata_source":"pith","pith_arxiv_id":"2510.18866","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LightMem: Lightweight and Efficient Memory-Augmented Generation","venue":"cs.CL","work_id":"154bcc76-21c8-4f79-87d4-0b9cfdda70c0","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2510.18866","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:dba860bfb9f85f82f429502748ffdc08ed7764b4b6cfded1a2695f2689058ebd","observation_id":"cf549080-e3d4-4f40-a450-6058eab8553b","resolution":{"observed_at":"2026-05-21T15:58:32.687292Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-14T09:19:45.991068+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T09:19:45.991068+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2604.02280","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T04:47:38.782096Z","title":"Novel memory forgetting techniques for autonomous ai agents: Balancing relevance and efficiency","venue":null,"work_id":"c2084c69-718f-4a97-bebc-2127d953f1c3","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:e61c2ffd9f2568ca651ef2995e3e059234f0e31113b64b12fe3d97bd45e44dc9","observation_id":"924ce379-0065-48de-b284-d98cb3c752a7","resolution":{"observed_at":"2026-05-13T06:42:26.343568Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hipporag: Neurobiologically inspired long-term memory for large language models.Advances in neural information processing systems, 37:59532– 59569","venue":null,"work_id":"cf2ed1e0-2c1c-4f72-ba24-cbc703ef7f15","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:47fa75b86a69d66083d360ca3e12ff05126ed7f03bc466cd8b3e07c677d6cc3a","observation_id":"669c639e-baac-4cfd-bcc0-5cf512bb6e83","resolution":{"observed_at":"2026-05-13T06:42:27.546116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14802","last_updated":"2025-06-19T21:34:45Z","snapshot_observed_at":"2026-07-06T20:39:57.316580Z","submitted_at":"2025-02-20T18:26:02Z","title":"From RAG to Memory: Non-Parametric Continual Learning for Large Language Models","version":2},"cited_work":{"arxiv_id":"2502.14802","doi":"10.48550/arxiv.2502.14802","metadata_source":"pith","pith_arxiv_id":"2502.14802","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"From RAG to Memory: Non-Parametric Continual Learning for Large Language Models","venue":"cs.CL","work_id":"f768fbda-cd1e-4a8e-b67c-040f4242fe93","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2502.14802","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:952fa420f4e9a8818dda557b613088ad5fdffe49e0c197bc24cb257605232577","observation_id":"1b134862-770d-43f4-8e82-2e455bb0ee01","resolution":{"observed_at":"2026-05-17T01:36:19.859440Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.16313","doi":"10.48550/arxiv.2602.16313","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Memoryarena: Benchmarking agent memory in interdependent multi-session agentic tasks","venue":"Open MIND","work_id":"0f9ba6be-34b8-45f2-a5d3-59f7787cbc2d","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:0d176d7a97c80be7615b3b878b7d8f316e09638e06ae1468b0fe6ae092325ef8","observation_id":"2593dcaa-1f32-4d9d-8dbd-55e3a3b99551","resolution":{"observed_at":"2026-05-13T06:42:26.232519Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06654","last_updated":"2024-08-06T21:48:58Z","snapshot_observed_at":"2026-07-06T17:58:00.820879Z","submitted_at":"2024-04-09T23:41:27Z","title":"RULER: What's the Real Context Size of Your Long-Context Language Models?","version":3},"cited_work":{"arxiv_id":"2404.06654","doi":"10.48550/arxiv.2404.06654","metadata_source":"pith","pith_arxiv_id":"2404.06654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RULER: What's the Real Context Size of Your Long-Context Language Models?","venue":"cs.CL","work_id":"c0bc4689-3ce8-4e3d-9442-bd74869445bb","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2404.06654","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:45f32e04cd81595ff1fae46bdf742ebe5673593d26caaa236e91d556fa244cb8","observation_id":"a5e18672-4992-4f3a-b66f-bd32cb3cbf6b","resolution":{"observed_at":"2026-05-13T06:42:26.252943Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.05257","last_updated":"2026-06-28T17:25:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:59:54Z","title":"Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions","version":4},"cited_work":{"arxiv_id":"2507.05257","doi":"10.48550/arxiv.2507.05257","metadata_source":"pith","pith_arxiv_id":"2507.05257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions","venue":"cs.CL","work_id":"df5096c3-e738-472b-953c-fb510ee9e68d","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2507.05257","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:cfe93958869af5698782368830a2ab0b11221dd21559b0d2b61de6f05fa2763b","observation_id":"11b0dfe3-0e29-416b-9a94-12c529e6cba7","resolution":{"observed_at":"2026-05-16T21:20:22.350099Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-23T05:53:09.681643+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T05:53:09.681643+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.06688","doi":"10.48550/arxiv.2512.06688","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Personamem-v2: Towards person- alized intelligence via learning implicit user personas and agentic memory","venue":"arXiv (Cornell University)","work_id":"3b2b3e77-b806-4df1-8dda-0097c48cc788","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:f53d2d5001c6a5de9cd0873bf452b61ad2fa7f4c61b0cdba9116b133b859a917","observation_id":"73fabc8c-4fa1-46bc-9720-1419d2d41c11","resolution":{"observed_at":"2026-05-13T06:42:26.278744Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13270","last_updated":"2025-02-18T20:29:01Z","snapshot_observed_at":"2026-07-06T20:38:53.272601Z","submitted_at":"2025-02-18T20:29:01Z","title":"REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation","version":1},"cited_work":{"arxiv_id":"2502.13270","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.13270","snapshot_observed_at":"2026-07-04T06:39:38.307575Z","title":"Realtalk: A 21-day real-world dataset for long-term conversation","venue":null,"work_id":"6c99fc35-f005-40c4-8ce7-7914dde13408","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2502.13270","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:c8532bf84b24333248b8b1b31ec04a0199a4325ff9383bcdae403bc10733fef1","observation_id":"e6273241-6f35-4bdb-8ce1-486816ff7eea","resolution":{"observed_at":"2026-05-13T06:42:26.324561Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Retrieval-augmented generation for knowledge- intensive NLP tasks.Advances in Neural Information Processing Systems, 33:9459–9474","venue":null,"work_id":"9a177361-aee4-4eb3-a02a-e1bb0c505264","year":2020},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:e6f85bf692dbbc420ff4321f7d84d1e06c02e86d2b574ca9064938775fbf699d","observation_id":"68d54e62-cdad-4dae-9f98-a08edd710903","resolution":{"observed_at":"2026-05-13T06:42:27.537216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hello again! LLM-powered personalized agent for long-term dialogue","venue":null,"work_id":"08361e21-c093-4358-9d90-38b47457d713","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:c919e4e2b20fddd88906f4b262799b3ef83738aaa17d7f3719aef7c157922ad9","observation_id":"e19084de-7f91-4899-ac6c-f3f71a1c9f3f","resolution":{"observed_at":"2026-05-13T06:42:27.541503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22101","last_updated":"2025-05-28T08:27:12Z","snapshot_observed_at":"2026-07-06T21:31:59.333003Z","submitted_at":"2025-05-28T08:27:12Z","title":"MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.22101","doi":"10.48550/arxiv.2505.22101","metadata_source":"pith","pith_arxiv_id":"2505.22101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MemOS: An operating system for memory-augmented generation","venue":"cs.CL","work_id":"62f802d2-2c22-4140-9b3d-b8b7220f772e","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2505.22101","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:f5e4a449a7deb2f1d1a810a580e7fb5f06f17f3fde56e22992a15078b4f9e307","observation_id":"cd46cfc0-826e-460b-8290-2340137f419b","resolution":{"observed_at":"2026-05-13T06:42:26.364120Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.02553","last_updated":"2026-01-29T15:45:24Z","snapshot_observed_at":"2026-07-06T22:40:46.465095Z","submitted_at":"2026-01-05T21:02:49Z","title":"SimpleMem: Efficient Lifelong Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2601.02553","doi":"10.48550/arxiv.2601.02553","metadata_source":"pith","pith_arxiv_id":"2601.02553","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SimpleMem: Efficient Lifelong Memory for LLM Agents","venue":"cs.AI","work_id":"9b5b2649-8727-425e-a2c5-60f49518a5c4","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2601.02553","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:8e596756ccb5b1110b7cad82af59d58cf086247b5093d4ee5b90aef8598cc6f7","observation_id":"a60fbe52-be16-4b1d-86ce-cfe72f2078fd","resolution":{"observed_at":"2026-05-22T08:10:45.412758Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Evalu- ating very long-term conversational memory of llm agents","venue":null,"work_id":"4f2a6005-55b7-4b93-b1cf-c9251043232c","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:fec6eb94d9404847223e977b290701aa5a50ee15668ce3f8e2f43ee8100846c8","observation_id":"104c3817-6ec3-436c-8bbd-98553db4aaa3","resolution":{"observed_at":"2026-05-13T06:42:27.528578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Memgpt: towards llms as operating systems","venue":null,"work_id":"c1a2ae35-f6bf-4afd-a7a5-99a38c6b0399","year":2023},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:26aa7398082b692d9ea1e671c59bca60047f229ed3e18dffd2c0eff2f7408c4a","observation_id":"4b0de7d7-e0f8-48a8-ad6f-0ea236e04e8d","resolution":{"observed_at":"2026-05-13T06:42:27.524014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation","venue":null,"work_id":"ebdeb157-d344-4fd6-ba2b-53e472fcbf98","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:d1138ebd71c4a4e5235088a28d3fb9fbfff5e0d2677f24d9acfe0a9142063e99","observation_id":"3bf901a4-d4e0-4fc8-9074-274b2d2b8f3e","resolution":{"observed_at":"2026-05-13T06:42:27.519771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.08079","doi":"10.48550/arxiv.2601.08079","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Memobrain: Executive memory as an agentic brain for reasoning","venue":"arXiv (Cornell University)","work_id":"62b27dbd-7b2c-437c-bed3-771ad5344152","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:5a55013e92d12d71141c7bed3d788d20f3b86648f3b27988c1c266688409e625","observation_id":"3818ed5c-9d7f-4bc5-af2d-57b162d4ed0b","resolution":{"observed_at":"2026-05-13T06:42:26.218635Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13956","last_updated":"2025-01-20T16:52:48Z","snapshot_observed_at":"2026-07-29T15:53:45.545304Z","submitted_at":"2025-01-20T16:52:48Z","title":"Zep: A Temporal Knowledge Graph Architecture for Agent Memory","version":1},"cited_work":{"arxiv_id":"2501.13956","doi":"10.48550/arxiv.2501.13956","metadata_source":"pith","pith_arxiv_id":"2501.13956","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Zep: A Temporal Knowledge Graph Architecture for Agent Memory","venue":"cs.CL","work_id":"515c933e-12ae-439d-a7ff-c07fee482dfb","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2501.13956","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:9c1232b3347b048bac3c6c6800b7950508ddc55a8cf621ad03b70dad67835906","observation_id":"29ca9ed3-57ca-455a-a2cb-fdb918b1add7","resolution":{"observed_at":"2026-05-13T06:42:26.317703Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s44387-025-00021-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Healthcare agent: Elic- iting the power of large language models for medical consultation.npj Artificial Intelligence, 1(24)","venue":"npj Artificial Intelligence","work_id":"3f181b38-7953-4f12-b58b-b6c2d574bc52","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:7dc309fa8dc5e80ef9406f3289bd0546b07c9e09945cf594f2fe2734283f9939","observation_id":"9cfcbec1-b64b-43f3-88cc-87123fe0de73","resolution":{"observed_at":"2026-05-13T06:42:25.771798Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The probabilistic relevance framework: BM25 and beyond.Foundations and Trends in Information Retrieval, 3(4):333–389","venue":null,"work_id":"4cebc0a3-e986-4fca-a45b-fb39c4ba3e44","year":2009},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:b7318de0f3d3390a9e608c8cb4a36b21d3bd94919feaa4d331d10cd72555b163","observation_id":"6f743b62-58d9-4c62-9802-f67b8e8171f9","resolution":{"observed_at":"2026-05-13T06:42:27.552268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.03768","last_updated":"2021-03-14T22:44:38Z","snapshot_observed_at":"2026-07-06T10:02:33.297722Z","submitted_at":"2020-10-08T05:13:36Z","title":"ALFWorld: Aligning Text and Embodied Environments for Interactive Learning","version":2},"cited_work":{"arxiv_id":"2010.03768","doi":"10.1109/cvpr.2001.990517","metadata_source":"pith","pith_arxiv_id":"2010.03768","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ALFWorld: Aligning Text and Embodied Environments for Interactive Learning","venue":"cs.CL","work_id":"fa436f46-ec0a-4d2e-a0ff-e697def4a7be","year":2020},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2010.03768","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:cd4cb0941fd7f5a96860afb7c5486b136d2b85e69463cacbf4cea996a9fd4f51","observation_id":"c781360d-d853-467f-bf8e-3601506f52a9","resolution":{"observed_at":"2026-05-13T06:42:26.206101Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-20T11:23:33.289391+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T11:23:33.289391+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.13530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T23:49:02.509363Z","title":"Remem: Reasoning with episodic memory in language agent","venue":null,"work_id":"9efe1857-f4b9-4dbd-b739-24a5a8b778d8","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:0104929288738233a79a864a3c575c442f812038970b33c8626ff9b86c3037e5","observation_id":"75cab133-8d1b-4ebb-aab4-0ac41c87230a","resolution":{"observed_at":"2026-05-13T06:42:26.305487Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Membench: Towards more comprehensive evaluation on the memory of llm-based agents","venue":null,"work_id":"30df4eff-6b8e-4c0c-a0ba-4c74b86c375c","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:ba9192a2f21f0a8b91ce5c287c4a45368b279f12ced1ec5026b150662db4e78d","observation_id":"7d8518a9-94a3-41f0-a7bf-4243ba49fed0","resolution":{"observed_at":"2026-05-13T06:42:27.507985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.20006","last_updated":"2026-04-21T21:31:01Z","snapshot_observed_at":"2026-07-06T23:06:31.110859Z","submitted_at":"2026-04-21T21:31:01Z","title":"From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents","version":1},"cited_work":{"arxiv_id":"2604.20006","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.20006","snapshot_observed_at":"2026-07-04T17:09:58.557992Z","title":"From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents","venue":"cs.CL","work_id":"97b900d4-17d5-4005-bf4d-d80c79c713f7","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2604.20006","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:244e65db11c16ad738a4e1d846f73319bf80135b80f29c18a28ed3ca401d58c5","observation_id":"9c7bcd3c-552a-40d3-9019-9c983f276cdb","resolution":{"observed_at":"2026-05-13T06:42:26.212401Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.07957","last_updated":"2025-07-10T17:40:11Z","snapshot_observed_at":"2026-08-02T05:16:27.995066Z","submitted_at":"2025-07-10T17:40:11Z","title":"MIRIX: Multi-Agent Memory System for LLM-Based Agents","version":1},"cited_work":{"arxiv_id":"2507.07957","doi":"10.48550/arxiv.2507.07957","metadata_source":"pith","pith_arxiv_id":"2507.07957","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MIRIX: Multi-Agent Memory System for LLM-Based Agents","venue":"cs.CL","work_id":"bcb99885-6f76-4bd6-b442-e5f455bb6447","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2507.07957","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:499db0a428a1157649ab0911ccdedd160827a3188e06f6cab3047114731719d0","observation_id":"32938e34-4f78-4468-bba1-ad4d22a3d2d0","resolution":{"observed_at":"2026-05-15T05:57:52.839654Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.25911","last_updated":"2025-09-30T08:02:34Z","snapshot_observed_at":"2026-07-06T22:31:15.349221Z","submitted_at":"2025-09-30T08:02:34Z","title":"Mem-{\\alpha}: Learning Memory Construction via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2509.25911","doi":"10.48550/arxiv.2509.25911","metadata_source":"pith","pith_arxiv_id":"2509.25911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mem-{\\alpha}: Learning Memory Construction via Reinforcement Learning","venue":"cs.CL","work_id":"4643330b-80ff-49a5-bbb1-e618edaffe35","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2509.25911","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:ddf7cf6c872699dc749a7c16fabe1ec942918a2eebb06c6374bdfd94d5e9a239","observation_id":"87675cdb-a166-4c46-b9a7-bc3ffa3902e9","resolution":{"observed_at":"2026-05-16T17:19:44.839865Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-17T20:50:53.619604+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-17T20:50:53.619604+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10813","last_updated":"2025-03-04T22:19:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-14T17:59:44Z","title":"LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory","version":2},"cited_work":{"arxiv_id":"2410.10813","doi":"10.48550/arxiv.2410.10813","metadata_source":"pith","pith_arxiv_id":"2410.10813","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory","venue":"cs.CL","work_id":"9074870f-aee7-4103-b167-ac6473a8a9b3","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2410.10813","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:f1df33e24640b3ef3fc2a234f7779902d0cebdf3c1c5f229cf69f48a15cac9e9","observation_id":"668ecd40-9fd2-47fe-ae5f-dc43bc35c2d5","resolution":{"observed_at":"2026-05-13T06:42:26.299517Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.04745","last_updated":"2026-04-19T12:11:06Z","snapshot_observed_at":"2026-07-06T22:41:05.793337Z","submitted_at":"2026-01-08T09:11:33Z","title":"KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions","version":2},"cited_work":{"arxiv_id":"2601.04745","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.04745","snapshot_observed_at":"2026-07-02T08:16:47.833682Z","title":"KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions","venue":"cs.AI","work_id":"9f1d4ae4-7b26-4e4b-84e9-1b6b9d7bf52c","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2601.04745","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:e1a2642fbb9401ae497cbf0a3b41e94d40d4ac82e5972c8c1ad2b29c386a0db5","observation_id":"6ab5297c-403f-454a-befb-b30e1544367a","resolution":{"observed_at":"2026-05-13T06:42:26.259870Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An agent-based adaptive medical dialogue service for personalized healthcare.Information Processing & Management, 62(3)","venue":null,"work_id":"0ec509d4-fbe7-4084-8179-79e5f482c9a4","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:bc3c2db961cefd043528a7628a6428062d9ff912149f6c53d0549bae20b83d1c","observation_id":"4618147a-6472-4179-98ce-f02a6190d149","resolution":{"observed_at":"2026-05-13T06:42:27.381097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12110","last_updated":"2025-10-08T01:46:37Z","snapshot_observed_at":"2026-08-03T02:27:06.991396Z","submitted_at":"2025-02-17T18:36:14Z","title":"A-MEM: Agentic Memory for LLM Agents","version":11},"cited_work":{"arxiv_id":"2502.12110","doi":"10.48550/arxiv.2502.12110","metadata_source":"pith","pith_arxiv_id":"2502.12110","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A-MEM: Agentic Memory for LLM Agents","venue":"cs.CL","work_id":"3b98feb2-fdb1-479a-bbe4-2c298a4592e2","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2502.12110","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:96ac428b99855cc26e2c40ade4059a156dd2bb5377e3334a4f2fc1b74f8ce68a","observation_id":"11fc3d0a-c147-411d-999a-8979b002ae7d","resolution":{"observed_at":"2026-05-13T06:42:26.239839Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.19828","last_updated":"2026-01-14T14:21:21Z","snapshot_observed_at":"2026-07-06T22:19:28.487854Z","submitted_at":"2025-08-27T12:26:55Z","title":"Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning","version":5},"cited_work":{"arxiv_id":"2508.19828","doi":"10.48550/arxiv.2508.19828","metadata_source":"pith","pith_arxiv_id":"2508.19828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning","venue":"cs.CL","work_id":"2a070440-2167-4398-be97-c2d4c3ee3541","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2508.19828","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:0a746894e02b8bca916bbab18f696c8d7c1096df7b1bfa4326d8e9477d16f430","observation_id":"8ab730c6-a9ba-4818-a7d4-ff978f732035","resolution":{"observed_at":"2026-05-13T06:42:26.184042Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-13T15:49:35.802766+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T15:49:35.802766+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.02259","last_updated":"2026-07-29T12:55:39Z","snapshot_observed_at":"2026-08-01T23:32:07.108143Z","submitted_at":"2025-07-03T03:11:50Z","title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent","version":2},"cited_work":{"arxiv_id":"2507.02259","doi":"10.48550/arxiv.2507.02259","metadata_source":"pith","pith_arxiv_id":"2507.02259","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent","venue":"cs.CL","work_id":"ac66fe72-b869-4874-8a9d-c110b849da0c","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2507.02259","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:7f888c3e14aa8fd241263d587070b7807e329f1e2386dbf54bea10e98b34d962","observation_id":"88b1f4b7-a507-42f4-a2ee-51720b89ee8f","resolution":{"observed_at":"2026-05-15T11:17:24.684684Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.23014","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T18:30:01.298309Z","title":"Mem-t: Densifying rewards for long-horizon memory agents","venue":null,"work_id":"48b35e7e-53f6-4063-9528-01fcbc9a1920","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:e91a6d20d322d7b61d83688a18b267ca67a315d6d01146820fe49f193ec2d84e","observation_id":"7d89afca-a5c8-43ad-8f55-92260b79a3ad","resolution":{"observed_at":"2026-05-13T06:42:26.178225Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03192","last_updated":"2026-02-12T05:43:57Z","snapshot_observed_at":"2026-08-02T21:01:18.325722Z","submitted_at":"2026-01-06T17:14:50Z","title":"MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory","version":2},"cited_work":{"arxiv_id":"2601.03192","doi":"10.48550/arxiv.2601.03192","metadata_source":"pith","pith_arxiv_id":"2601.03192","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory","venue":"cs.CL","work_id":"0ab11b49-e934-49e1-9eaf-a25fb7343010","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2601.03192","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:748e31e5d470adf07a35c60b29a164844082d508b71ff237fb828ae4259e5e1c","observation_id":"6f1e8988-f89a-4749-8533-96d996a2d257","resolution":{"observed_at":"2026-05-17T14:49:05.169764Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.22769","last_updated":"2026-05-27T09:28:43Z","snapshot_observed_at":"2026-08-02T20:39:13.676887Z","submitted_at":"2026-02-26T08:59:31Z","title":"AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications","version":4},"cited_work":{"arxiv_id":"2602.22769","doi":"10.48550/arxiv.2602.22769","metadata_source":"pith","pith_arxiv_id":"2602.22769","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ama-bench: Evaluating long-horizon memory for agentic llms","venue":"cs.AI","work_id":"511e9b37-73a4-4ced-9b91-1bc2798c3c5c","year":2026},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2602.22769","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:7367e3a8e2e7c9ec2e91c164eef8f09fe45410ba5f60d1e7460ebc7155224afb","observation_id":"0d5a5025-320e-476b-90ab-0a8cbb2ea0d4","resolution":{"observed_at":"2026-05-26T03:04:12.483288Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-06T01:01:39.292858Z","title":"Memorybank: Enhancing large language models with long-term memory","venue":null,"work_id":"62fdf80d-9123-4a24-b10f-6c4876fba1f3","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:593947d39e9391a73c32ab53356b2a8f908a1350de903604c6e23ffbb12b5baf","observation_id":"5778d0cb-350e-45bc-b04c-45e96aa3306c","resolution":{"observed_at":"2026-05-13T06:42:27.376876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.13854","last_updated":"2024-04-16T15:13:18Z","snapshot_observed_at":"2026-07-06T15:58:31.756298Z","submitted_at":"2023-07-25T22:59:32Z","title":"WebArena: A Realistic Web Environment for Building Autonomous Agents","version":4},"cited_work":{"arxiv_id":"2307.13854","doi":"10.48550/arxiv.2307.13854","metadata_source":"pith","pith_arxiv_id":"2307.13854","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"WebArena: A Realistic Web Environment for Building Autonomous Agents","venue":"cs.AI","work_id":"7058ffd2-a339-4102-89eb-248eeb074652","year":2023},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2307.13854","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:8fe4d9ade092f1ab4bbd54df64e642045e53abf3b6a1fa79c387c156c84a5784","observation_id":"77fdd3d1-2d55-4ce6-843e-163f44417612","resolution":{"observed_at":"2026-05-13T06:42:26.196957Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-20T18:52:18.85917+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T18:52:18.85917+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15841","last_updated":"2025-07-17T08:53:48Z","snapshot_observed_at":"2026-08-04T10:58:41.179508Z","submitted_at":"2025-06-18T19:44:46Z","title":"MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents","version":2},"cited_work":{"arxiv_id":"2506.15841","doi":"10.48550/arxiv.2506.15841","metadata_source":"pith","pith_arxiv_id":"2506.15841","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents","venue":"cs.CL","work_id":"43cfa793-fb98-4501-8224-4dfb9e56285c","year":2025},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"cited_paper":"/paper/2506.15841","citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:10932f89ec40189ec2e9c0d880ccba9817c9e9f3cf6781e7f62ae8c601a8dfdf","observation_id":"75d5c1ba-0c1a-4344-975a-36af34dcb1a7","resolution":{"observed_at":"2026-05-15T00:27:37.600084Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b4cdca72-bdbc-4601-b57f-55ec6500a834","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:edeaae7d6207350176754d608bfc38992c3dedac54102a003088bbe24378f050","observation_id":"037ec8c4-e908-4f2c-9580-96b7a1c28554","resolution":{"observed_at":"2026-05-13T06:42:27.494015Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ff3c3a66-efba-419f-9c9f-a1fabb9d9a21","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:34a48aa2755160952a852932db4b7b51640afb4a3a535cc1788424a6a3aa9883","observation_id":"3c2452de-cf81-45dd-a3a4-c0dca3dfe9bd","resolution":{"observed_at":"2026-05-13T06:42:27.489436Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Answer: TheEEMtemplate is designed for precise slot-level retrieval","venue":null,"work_id":"8a1c15df-229b-4fa9-a74c-dbdb71e3642c","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:dfbfb0f9bfebe617d9cb01cdaf0ab61d139bfcc17dfafa0efc899992ee387549","observation_id":"61491edd-0c8a-4b58-b9d0-7f0608fd9f00","resolution":{"observed_at":"2026-05-13T06:42:27.499030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0404074e-f581-4fdf-ba02-d3395724d8fa","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:ab4b9a038d97635b7c26053cec43c6b0eb8163401792eb1e18778c99aae20d79","observation_id":"f38a5588-5b20-40a9-bc9f-e5ecb652d7e6","resolution":{"observed_at":"2026-05-13T06:42:27.503408Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"19 A preprint","venue":null,"work_id":"7f60a870-af4c-4dd3-8e30-3f162bce79ba","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:dc53235c4df23f20311073808102923262ce9f48fcc4f5c3312d5656c63ffa29","observation_id":"4f8a123c-bc6c-4710-ace1-2524cd1571e5","resolution":{"observed_at":"2026-05-13T06:42:27.515765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7c9b97ed-882d-4f9e-9c68-696860729b30","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:1356f18ad1900caf5c95242e37d4e1fce8659d6182dcf026ee82ce260d2bee41","observation_id":"ecbd5680-b4e6-4413-9178-f7d91fb1091c","resolution":{"observed_at":"2026-05-13T06:42:27.485006Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"cf300278-a25c-473e-9ea1-954c74347b14","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:c8836eabb8a9a7dbad4cb302731bc1ccd3dd5ec3d4df0ecad1e591ad618d92e9","observation_id":"fed15036-40fe-4828-86bf-a886711af2cf","resolution":{"observed_at":"2026-05-13T06:42:27.476263Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5ed03242-513f-418a-9868-3f210bf1adb8","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:fe83ef1f80017bb03e3b8864b67136ec90b032fca017da97002436044460d35c","observation_id":"9a792532-e1a7-48ef-b322-8e5dd578e63c","resolution":{"observed_at":"2026-05-13T06:42:27.462344Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4ba8552c-8084-4505-a228-c4cd0b4f4c7a","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:9b0796dd2a2eb5ccadf339367cb6b0262a665b614f17bf0b482740969f0d6826","observation_id":"3700f947-661e-4936-9e07-408fe7c689b7","resolution":{"observed_at":"2026-05-13T06:42:27.467412Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"668c87fd-1052-4b81-acd8-7ef6da8f957b","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:98695fb02daa6e703028b258268f621e9e6c6215e868c0a1da13086e500515ab","observation_id":"b8b52159-a2f0-4eb9-8984-4300cddcb5d7","resolution":{"observed_at":"2026-05-13T06:42:27.472145Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9044049c-ffda-434c-bb16-ef5a38154dc6","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:c4813bd28c153a20ee00bfe08af92b0c9ba6d0ae331c2d08f0a23e957916c0d4","observation_id":"ada5a831-143e-4ba2-9fb6-7ae1d307ed39","resolution":{"observed_at":"2026-05-13T06:42:27.480446Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e40a4792-4ea9-4f35-b579-0224b7e8db45","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:ddea9b0bf09dde3dbfb5dd444b4e9d5001ebb69d80d73a295b8a4e0373b4ad6c","observation_id":"070b8f98-a8b8-4e56-a1c4-98d2a5a44a14","resolution":{"observed_at":"2026-05-13T06:42:27.511981Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e648aa2d-6305-449f-ac38-ad595969313c","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:18aa3b3cdc99e0adbc439c165e53387c00e09917bb23a49300f8dd5b6400a9f3","observation_id":"dfd605f5-311f-4a09-8a45-f43da18246aa","resolution":{"observed_at":"2026-05-13T06:42:27.451466Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f79ff986-ead9-4034-8ec1-423f40f30dff","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:4b0e16b56d3a2c9cb5506649aafd450a09240e66fe713dea8496a4a69a21ec23","observation_id":"6f4d3d76-895d-44e5-ae0e-946926520d9d","resolution":{"observed_at":"2026-05-13T06:42:27.428339Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b49a8136-371c-4009-9a7b-ca47310a4468","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:ab8bca20a68b4636b2e1f4cedce59f898e745a00cc9cfef603204ece03830150","observation_id":"9e156499-5bfd-4550-a1a6-c69794702ba2","resolution":{"observed_at":"2026-05-13T06:42:27.432999Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Answer: TheIGtemplate is designed for personalized medical inference","venue":null,"work_id":"18e80b49-54af-4fb3-b618-e1d87bd60b2f","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:cb4c72a8f27a62c6068cfe460dc591545cd5bbc1edf53caf5d122b383d7182bf","observation_id":"2dfd3104-e800-4769-8b35-fcef7ce4843e","resolution":{"observed_at":"2026-05-13T06:42:27.437495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8d5c5268-4364-441f-98c4-0da0816e67b5","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:19acc6334b2cc7d44b4100ced745c865acb310adad89f39d551aeda63feaf433","observation_id":"40400f41-cd78-453e-91bd-7bb6b5c92f4b","resolution":{"observed_at":"2026-05-13T06:42:27.456837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3fa3f04d-8065-4419-b879-143ab5a7522a","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:a147fe17ea5e07d1c063aaf6fc9f6b2df92e66c68ca239c0fd6712128e8d612a","observation_id":"b2524c26-0304-4e99-a41f-a842459786f3","resolution":{"observed_at":"2026-05-13T06:42:27.420241Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Answer: Finally, theMCDtemplate targets queries that require multi-visit synthesis and explicit reasoning over dispersed historical evidence","venue":null,"work_id":"d33e3460-4844-4e18-8edc-b4126a8de6eb","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:cb10ae23fb543158210ac1e1feb5b399a2de2ee88b65053a30b4860909d75352","observation_id":"81feb9c0-aac4-47e8-94dd-e7e9d65d4f13","resolution":{"observed_at":"2026-05-13T06:42:27.408484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The model must correctly provide the time point","venue":null,"work_id":"f627d2d8-d596-4c41-a226-dc61ae03c842","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:6add3d5f0409fa30935d6036b675267906d93603a8dec5ee1a83b47702eec75f","observation_id":"36a5627c-c0b3-4bcc-ac62-fe050f66289e","resolution":{"observed_at":"2026-05-13T06:42:27.532760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"January 1","venue":null,"work_id":"6edf15d6-eacc-4bbc-95e4-85f1d86390d8","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:cb1afc5b69b42b9e8f5b4f9ea3ad87aee78eaba2725ad37d7188fd0144c0c1a3","observation_id":"148ce0a5-3da4-4340-940d-5f2baafe2982","resolution":{"observed_at":"2026-05-13T06:42:27.412500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"703a523b-e18f-4090-b214-886fe0ec459e","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:3dbb4cc8acf50b3e897ff4257df4137734b721aea56c0ba436b8fda914a10c53","observation_id":"bb8e4205-39a6-4021-b818-5b3c29f08d58","resolution":{"observed_at":"2026-05-13T06:42:27.416008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"coincidentally correct","venue":null,"work_id":"80e7c49c-92ee-45d3-be28-63467ca97af9","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:4c584d3e119654cd22bca72a63b1509b7ac4f7e4e925ee056330527c0b7486ad","observation_id":"9a50add0-a387-4e49-8cf9-bb9976353bfd","resolution":{"observed_at":"2026-05-13T06:42:27.424164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"remembers","venue":null,"work_id":"6d270a86-5a1c-4a02-9f4e-39824e298c8c","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:25504399b2be85bb65a88e297bc1f5aed718a8d6c8d91ac5f7257a358c32f339","observation_id":"09ad4c26-2cf1-4377-8d11-ff7beb68c214","resolution":{"observed_at":"2026-05-13T06:42:27.441610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0ee16744-172d-4451-ba09-37ebbaff3dc9","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:0880e98868b92b198f71eea78696fc19493ff51a68fb5d436854170cad2ec363","observation_id":"8eb6e28e-f0c5-4ef6-83e4-43e4ececcbf3","resolution":{"observed_at":"2026-05-13T06:42:27.446098Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"common wrong answer","venue":null,"work_id":"c69be947-e6d1-438d-a044-9666e650e222","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:b22952c91aa7f62773d2bac9fe88d52e264082735934ae039045366314941b5a","observation_id":"e2b003d5-b548-48a4-b05b-15f62d8c2df4","resolution":{"observed_at":"2026-05-13T06:42:27.560917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"is_correct","venue":null,"work_id":"1bb16790-bd64-4d13-a363-d90bb971ff15","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:fee8ff45e23891b8af99c3cb9fa217a9c0e4c473914b98dcfd53ff29a4ea35bc","observation_id":"0ff4c5d2-6473-4817-b07b-8a298ecbb7b9","resolution":{"observed_at":"2026-05-13T06:42:27.393915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Poor blood sugar control may lead to","venue":null,"work_id":"7b7dd10f-23da-4d01-9125-4292672a810f","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:ee0786343e26c94b1fe697c70282631ba475b41fa597dfe1c2c30a0257312e63","observation_id":"2ccace26-7e16-4b68-bad9-384357ea60f2","resolution":{"observed_at":"2026-05-13T06:42:27.399826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"remembers","venue":null,"work_id":"007a3753-4772-4fdc-9722-9b840bfae566","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:f0228790adac0455e36a1e88b8fad50487f04ec5e014fa3a145126b4a81cbab0","observation_id":"63c508fa-53eb-42ff-8732-5d5a6e300eb5","resolution":{"observed_at":"2026-05-13T06:42:27.385096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Similar but different mechanisms cannot substitute","venue":null,"work_id":"3d320f8f-4bc9-4329-9308-169e4741ad4b","year":null},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:88557cd1e579f0bc1aabbf09a1ee25bac1ba663a6d80cfa0bb0864c238d908b7","observation_id":"a5fa209d-ed7c-48da-bd2b-afc821462e9f","resolution":{"observed_at":"2026-05-13T06:42:27.389335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TSH 0.02","venue":null,"work_id":"bbfc7877-61f1-42fe-a46a-5a30e0e2ac9c","year":2024},"citing_paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-13T06:38:30.335029Z"},"links":{"citing_paper":"/paper/2605.11814"},"observation_digest":"sha256:af8efba9737719115bf8a530248fe7dabf0d68b90e96c991c1c734e0dc89bb6c","observation_id":"e84c71eb-8e0d-4b64-86a8-e906a3e521b3","resolution":{"observed_at":"2026-05-13T06:42:27.404433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.11814","last_updated":"2026-05-12T09:06:40Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:06:40Z","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":17,"verified_exact":30,"verified_fuzzy":27},"total_outbound_references":76},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2605.11814."}