{"as_of":"2026-08-21T02:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1f3697b9bb6ec8249a7a20ebadeac4580974cd839086ca849439158ed3ae10ac","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":22,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:13:31.918237Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":33,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"reference_index":191,"source":"pdf_text","source_observed_at":"2026-05-19T20:28:38.900026Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2307.06435"},"observation_digest":"sha256:44a5c965412576ca11996188f5d062c608779ecf15bbf4b2547daf2c0b0bdeda","observation_id":"ecad3b4b-7caa-4556-a1de-7425a8156771","resolution":{"observed_at":"2026-05-19T20:28:39.604595Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2401.05459","last_updated":"2024-05-08T06:16:23Z","snapshot_observed_at":"2026-08-19T17:12:26.495549Z","submitted_at":"2024-01-10T09:25:45Z","title":"Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security","version":2},"reference_index":223,"source":"pdf_text","source_observed_at":"2026-05-17T00:57:26.303195Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2401.05459"},"observation_digest":"sha256:45130b1431dd6d3c2dbcf7d2b4eab397cb8f3b91670ef64107f51f5609ab5ce8","observation_id":"8bf3cbab-afd8-4bb5-b886-c22a859e844f","resolution":{"observed_at":"2026-05-17T00:57:26.589968Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2402.03578","last_updated":"2026-01-28T04:55:23Z","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T23:06:42Z","title":"LLM Multi-Agent Systems: Challenges and Open Problems","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-17T10:23:05.028790Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2402.03578"},"observation_digest":"sha256:80e1d38f07ae5350e7f469987bb63af7bdc468370cd0c0c60a1659ee615e7550","observation_id":"7c5796be-b4cb-4eb6-872d-33cb13963702","resolution":{"observed_at":"2026-05-17T10:23:05.106223Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2402.13753","last_updated":"2024-02-21T12:30:33Z","snapshot_observed_at":"2026-08-02T12:47:57.325302Z","submitted_at":"2024-02-21T12:30:33Z","title":"LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-15T08:31:04.774135Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2402.13753"},"observation_digest":"sha256:e8c1dde83080c52026d9885de5c8de07ca19eb105e4f9a19a895ae583a3632f8","observation_id":"fd08f067-730a-48bc-bc1a-a076d120ad16","resolution":{"observed_at":"2026-05-15T08:31:04.798383Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-09T18:32:03.952862Z","title":"Augmenting language models with long-term memory.arXiv preprint arXiv:2306.07174,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00592","last_updated":"2025-05-30T14:40:56Z","snapshot_observed_at":"2026-08-15T21:25:52.230059Z","submitted_at":"2025-02-01T23:13:10Z","title":"M+: Extending MemoryLLM with Scalable Long-Term Memory","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T18:32:03.952862Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2502.00592"},"observation_digest":"sha256:a6e619e0974d00fb8605756d21eae9bb3c9c4dae2e55926a5a63728af017a148","observation_id":"ccdc1905-6f06-419c-8ee7-f86012ce56c2","resolution":{"observed_at":"2026-08-09T18:32:03.952862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-07T14:46:42.716548Z","title":"Augmenting language models with long-term memory.arXiv preprint arXiv:2306.07174, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17670","last_updated":"2025-07-07T20:01:47Z","snapshot_observed_at":"2026-08-13T16:17:34.753862Z","submitted_at":"2025-05-23T09:36:53Z","title":"Towards General Continuous Memory for Vision-Language Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:42.716548Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2505.17670"},"observation_digest":"sha256:8fb2532da927d81b6cb67636df9ef1d81571bd36df2a0696de04398c8057cc9b","observation_id":"a68b3edb-9eba-4b8d-ae60-3c7f152e9ada","resolution":{"observed_at":"2026-08-07T14:46:42.716548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-04T10:26:11.872191Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.09905","last_updated":"2026-06-16T21:38:14Z","snapshot_observed_at":"2026-08-11T00:15:22.254397Z","submitted_at":"2025-10-10T22:39:37Z","title":"The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T10:26:11.872191Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2510.09905"},"observation_digest":"sha256:b5acd60bcc423590ee4ceaa14bc84a9c484dbc058e7068194e4b2c5460cb3647","observation_id":"70393ca7-8285-4dbb-ace1-227ec1fcd142","resolution":{"observed_at":"2026-08-04T10:26:11.872191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2604.05400","last_updated":"2026-04-07T03:50:12Z","snapshot_observed_at":"2026-08-16T08:57:28.594940Z","submitted_at":"2026-04-07T03:50:12Z","title":"HYVE: Hybrid Views for LLM Context Engineering over Machine Data","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T19:15:01.922866Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2604.05400"},"observation_digest":"sha256:4171b906966c2526b95e37b4ba7b19b8df6594403039af861cd1834a1785cdc1","observation_id":"4703773a-722b-4842-9c3e-083acb2d969e","resolution":{"observed_at":"2026-05-10T23:15:50.343871Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2605.09033","last_updated":"2026-05-15T08:27:09Z","snapshot_observed_at":"2026-08-12T12:32:19.148646Z","submitted_at":"2026-05-09T16:16:41Z","title":"ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T02:27:03.154390Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2605.09033"},"observation_digest":"sha256:2bc8bcde731edc5ebd38289a5aa7e717708cd81f1cdd97a53a18ee2f154295a0","observation_id":"f74ec9da-b742-43ec-a1a1-8ae7d0715ad0","resolution":{"observed_at":"2026-05-12T07:37:06.438523Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2605.09033","last_updated":"2026-05-15T08:27:09Z","snapshot_observed_at":"2026-08-12T12:32:19.148646Z","submitted_at":"2026-05-09T16:16:41Z","title":"ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T06:09:36.338641Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2605.09033"},"observation_digest":"sha256:fa7383ac766c522a0748dfb216c81698f7849a9a0d91d4f04a7152cec56f53e1","observation_id":"273aa8d8-5f0b-4dd7-925f-42a71972c342","resolution":{"observed_at":"2026-05-15T06:09:49.325792Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2605.09033","last_updated":"2026-05-15T08:27:09Z","snapshot_observed_at":"2026-08-12T12:32:19.148646Z","submitted_at":"2026-05-09T16:16:41Z","title":"ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T17:38:45.919637Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2605.09033"},"observation_digest":"sha256:280fa0b935c5789db477e957bbcd193c7fa1e93b2982b079dfcc930238a104a6","observation_id":"8f529a23-5e9a-4b3f-9bc1-585aa1479001","resolution":{"observed_at":"2026-05-19T17:42:42.325269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-07-12T19:05:54.265960Z","title":"Aug- menting language models with long-term memory.arXiv preprint arXiv:2306.07174,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05182","last_updated":"2026-04-18T23:26:48Z","snapshot_observed_at":"2026-08-14T09:57:22.346803Z","submitted_at":"2026-04-18T23:26:48Z","title":"LANTERN: Layered Archival and Temporal Episodic Retrieval Network for Long-Context LLM Conversations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T19:05:54.265960Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2606.05182"},"observation_digest":"sha256:2b74020d1bbbabcfddd3cca81f775ccb5f9e61fbb74f7004d2f8681084bd5923","observation_id":"e42d924a-1a47-44c9-87de-947ff54218ea","resolution":{"observed_at":"2026-07-12T19:05:54.265960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2606.05894","last_updated":"2026-07-08T14:22:28Z","snapshot_observed_at":"2026-08-10T15:25:27.529113Z","submitted_at":"2026-06-04T09:03:05Z","title":"EMBER: Efficient Memory via Budgeted Evidence Retention for Long-Horizon Agents","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T01:22:08.223852Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2606.05894"},"observation_digest":"sha256:7c0e9a9dd19a64057bc5582ffc2c1a254bce545013f1d8977bc2f6fdf2952154","observation_id":"cebd9ce6-df36-4487-84af-9d7213e0434c","resolution":{"observed_at":"2026-07-02T13:26:58.783970Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2606.09399","last_updated":"2026-06-08T12:18:22Z","snapshot_observed_at":"2026-08-13T17:35:16.601071Z","submitted_at":"2026-06-08T12:18:22Z","title":"RunAgent SuperBrowser: A Theory of Autonomous Web Navigation Grounded in Human Browsing Behaviour","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-06-27T16:37:53.724965Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2606.09399"},"observation_digest":"sha256:1cd993db2767363beb846a55a89280b35a036ff786a302450e38097538671603","observation_id":"7cbe69fe-406f-49ca-902c-01305143f996","resolution":{"observed_at":"2026-07-03T01:17:31.277016Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2606.17328","last_updated":"2026-06-15T22:21:23Z","snapshot_observed_at":"2026-08-14T05:41:00.308637Z","submitted_at":"2026-06-15T22:21:23Z","title":"MemTrace: Probing What Final Accuracy Misses in Long-Term Memory","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-06-27T03:13:52.804489Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2606.17328"},"observation_digest":"sha256:f7ab685f28f44afce96eb4387718d24e12418e236b73cc092f3948eb38a3fb57","observation_id":"ebacb501-6e32-4f6d-ac6f-27614d6308bd","resolution":{"observed_at":"2026-07-03T18:18:49.775255Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2606.28876","last_updated":"2026-08-12T17:19:42Z","snapshot_observed_at":"2026-08-15T23:12:08.948009Z","submitted_at":"2026-06-27T11:38:43Z","title":"MMLA: How Memory Lets the Past Shape the Future","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T09:46:57.030469Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2606.28876"},"observation_digest":"sha256:71d4fc63f36ce9ffc052fd8701a894a10e621cb9b102ec20a0ff59e9f4d21368","observation_id":"f0525fc3-3187-416d-a698-af19b2f86376","resolution":{"observed_at":"2026-06-30T09:54:35.275093Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-07-13T07:16:45.194991Z","title":"Augmenting Language Models with Long-Term Memory.https://arxiv","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.28876","last_updated":"2026-08-12T17:19:42Z","snapshot_observed_at":"2026-08-15T23:12:08.948009Z","submitted_at":"2026-06-27T11:38:43Z","title":"MMLA: How Memory Lets the Past Shape the Future","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-13T07:16:45.194991Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2606.28876"},"observation_digest":"sha256:a099e2269fe8c1063e688d84415c1a7eeb6cc11f7933df203efe9d1dedfed080","observation_id":"a4108530-3585-4fe3-b42b-ef21cc123466","resolution":{"observed_at":"2026-07-13T07:16:45.194991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2607.00692","last_updated":"2026-07-01T09:41:54Z","snapshot_observed_at":"2026-08-15T17:30:29.094281Z","submitted_at":"2026-07-01T09:41:54Z","title":"Self-GC: Self-Governing Context for Long-Horizon LLM Agents","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-02T12:49:23.785904Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2607.00692"},"observation_digest":"sha256:bc0accd631cc9f06ae98f6eba83700567526bdad41e02a929ac11f069bf130b9","observation_id":"c07a2f8e-3d22-4551-92dc-41987773b136","resolution":{"observed_at":"2026-07-02T12:56:56.606529Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":"2306.07174","doi":"10.48550/arxiv.2306.07174","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Augmenting language models with long-term memory","venue":"arXiv (Cornell University)","work_id":"77e43943-805c-4c7e-b857-b2d3372cffa8","year":2023},"citing_paper":{"arxiv_id":"2607.01935","last_updated":"2026-07-08T13:29:16Z","snapshot_observed_at":"2026-08-04T03:39:22.269933Z","submitted_at":"2026-07-02T09:28:29Z","title":"A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-03T14:02:49.268003Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2607.01935"},"observation_digest":"sha256:d2af8dd74d9a08b66fb86fd9bc2d0fc7a301fcc2abd5c52a8e375413640691df","observation_id":"dda6746d-c07b-492a-8612-d5c293b2e8eb","resolution":{"observed_at":"2026-07-03T14:08:21.326694Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-07-12T08:31:35.789076Z","title":"Augmenting language models with long-term memory.arXiv preprint arXiv:2306.07174, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.01935","last_updated":"2026-07-08T13:29:16Z","snapshot_observed_at":"2026-08-04T03:39:22.269933Z","submitted_at":"2026-07-02T09:28:29Z","title":"A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T08:31:35.789076Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2607.01935"},"observation_digest":"sha256:43aaca94e283acd0fc9c4829cac1a469b599858691407f23ab8a8b815a479792","observation_id":"5b3a506a-624b-4728-a7b9-43a39e0b0bd6","resolution":{"observed_at":"2026-07-12T08:31:35.789076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-01T02:37:54.523331Z","title":"Augmenting language models with long-term memory,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25380","last_updated":"2026-07-28T07:34:53Z","snapshot_observed_at":"2026-08-13T04:02:20.179238Z","submitted_at":"2026-07-28T07:34:53Z","title":"Memory for Large Language Models","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-01T02:37:54.523331Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2607.25380"},"observation_digest":"sha256:dda789f77b240f681ece9fee169f227e2d08817311de39db89f4c76b948fa9ac","observation_id":"89bd2bb3-abe1-4cdc-8ca6-b5f63e550ca9","resolution":{"observed_at":"2026-08-01T02:37:54.523331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07174","snapshot_observed_at":"2026-08-16T00:13:31.918237Z","title":"Augmenting language models with long-term memory.arXiv preprint arXiv:2306.07174, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.12476","last_updated":"2026-08-12T18:00:42Z","snapshot_observed_at":"2026-08-19T05:54:35.938053Z","submitted_at":"2026-08-12T18:00:42Z","title":"Governed Persistent Memory: Source-Bound State Semantics and Fail-Closed Release for Long-Horizon Agents","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T00:13:31.918237Z"},"links":{"cited_paper":"/paper/2306.07174","citing_paper":"/paper/2608.12476"},"observation_digest":"sha256:d89f1980018b558ad94e8352c6a564073ae932a040aad56c5f43582ed9c74f82","observation_id":"edfcceda-a014-4897-86be-ab9079adb3c4","resolution":{"observed_at":"2026-08-16T00:13:31.918237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.07174/citation-record","integrity":"/paper/2306.07174/integrity","json":"/paper/2306.07174/citation-record.json","paper":"/paper/2306.07174"},"outbound":[],"paper":{"arxiv_id":"2306.07174","last_updated":"2023-06-12T15:13:39Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T15:24:33.866246Z","submitted_at":"2023-06-12T15:13:39Z","title":"Augmenting Language Models with Long-Term Memory"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2306.07174."}