{"as_of":"2026-08-09T18:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:515ab45a8c50ed59d43b718f480e445228f2041feb9b6e179983017040ff0498","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":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":19,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:39:58.991000Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T06:06:41.545006Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2504.15965","last_updated":"2025-04-23T13:47:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T15:05:04Z","title":"From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-17T11:05:09.588491Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2504.15965"},"observation_digest":"sha256:8754bb8dbfd445188405c968d7ee329020299e5244b47a567fd7153e2c7dbe1a","observation_id":"0e49a09a-b8c9-47ff-8fee-13494ffef639","resolution":{"observed_at":"2026-05-17T11:05:09.658715Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-08-07T05:39:58.991000Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07398","last_updated":"2025-06-16T08:45:10Z","snapshot_observed_at":"2026-08-09T03:15:13.137279Z","submitted_at":"2025-06-09T03:43:46Z","title":"G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.991000Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:522411c632c36fd5b5add8c18de84310f10bd7ca8abb2fae878cfbde854c1d7b","observation_id":"78b808f0-5a50-48d3-8479-1e7952eb877c","resolution":{"observed_at":"2026-08-07T05:39:58.991000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-08-07T05:24:28.410403Z","title":"Meminsight: Autonomous memory augmentation for llm agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.08098","last_updated":"2025-06-09T18:00:46Z","snapshot_observed_at":"2026-08-08T20:59:09.215091Z","submitted_at":"2025-06-09T18:00:46Z","title":"Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:24:28.410403Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2506.08098"},"observation_digest":"sha256:b910c208b3f322e023de9966ba88e8d3265983848983163e08e0d49d29994d73","observation_id":"e7ae0dbd-7552-43d7-9f20-f42b194fe966","resolution":{"observed_at":"2026-08-07T05:24:28.410403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2507.21046","last_updated":"2026-01-16T20:59:08Z","snapshot_observed_at":"2026-08-01T06:32:44.461162Z","submitted_at":"2025-07-28T17:59:05Z","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","version":4},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-14T22:23:14.621091Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2507.21046"},"observation_digest":"sha256:1a47b7474c12952f477ab1bc1c9b45162c8ce13ee4a677a9851e411ce285bdec","observation_id":"2cb9d7bc-ff44-4eaf-84ae-5fc3f2956441","resolution":{"observed_at":"2026-05-14T22:23:15.541471Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-08-06T14:52:36.077954Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.22925","last_updated":"2025-07-23T12:45:44Z","snapshot_observed_at":"2026-08-09T04:59:48.414077Z","submitted_at":"2025-07-23T12:45:44Z","title":"Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T14:52:36.077954Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2507.22925"},"observation_digest":"sha256:f4235c777c80f975fea3609a41adfdd09e9a5d0b25c171d39fa67c8145505705","observation_id":"970873d7-6a84-40fd-b62b-9d7fa0704457","resolution":{"observed_at":"2026-08-06T14:52:36.077954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_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},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-13T04:55:54.572349Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2508.19828"},"observation_digest":"sha256:b46c1afa5028176ad7db0c794b12a5a70a267e4ee1c797314fe867217bbe0546","observation_id":"bdf96395-e160-4c6b-b9be-aaa744a738a6","resolution":{"observed_at":"2026-05-13T04:55:54.599962Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2601.01885","last_updated":"2026-07-23T06:23:36Z","snapshot_observed_at":"2026-08-03T14:57:06.604444Z","submitted_at":"2026-01-05T08:24:16Z","title":"Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T18:32:01.569665Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2601.01885"},"observation_digest":"sha256:a43c859230c05c76f67150a8fb340a3263ed10cc493df2a9b486fd61f49b2b0e","observation_id":"4427606d-410d-4ec0-9204-0ce78a8aaed9","resolution":{"observed_at":"2026-05-16T18:33:15.286889Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-08-03T12:45:05.691632Z","title":"Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, YK Li, Yang Wu, and 1 others","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.01885","last_updated":"2026-07-23T06:23:36Z","snapshot_observed_at":"2026-08-03T14:57:06.604444Z","submitted_at":"2026-01-05T08:24:16Z","title":"Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T12:45:05.691632Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2601.01885"},"observation_digest":"sha256:02c9c4ceaf55f07cf4b871f5281321332b32e0dc56f246ea438c88c5dcc7af0d","observation_id":"b3a321f7-bc02-4c79-a925-2adc3b1a72c2","resolution":{"observed_at":"2026-08-03T12:45:05.691632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2601.11100","last_updated":"2026-04-28T16:55:02Z","snapshot_observed_at":"2026-08-02T05:52:52.942431Z","submitted_at":"2026-01-16T09:00:03Z","title":"ReCreate: Reasoning and Creating Domain Agents Driven by Experience","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T13:58:12.536779Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2601.11100"},"observation_digest":"sha256:12a1a09d39f36ae9a8142d8212111b8ad4c6c31ab78d898f7b2815217ec8fcb3","observation_id":"a3f63843-76f9-4703-b5f6-1116110f0fd1","resolution":{"observed_at":"2026-05-16T14:01:01.277559Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2602.02556","last_updated":"2026-04-24T18:39:50Z","snapshot_observed_at":"2026-07-06T22:44:09.804048Z","submitted_at":"2026-01-30T13:15:13Z","title":"Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T09:43:55.255948Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2602.02556"},"observation_digest":"sha256:cf86689d216cfccaca407f28f0acb0fecfe35abcaa76600cd87c7d480e42b217","observation_id":"13c3a33d-0c60-4239-be07-c3ec2d10f919","resolution":{"observed_at":"2026-05-16T09:47:41.962545Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2604.08256","last_updated":"2026-04-10T08:13:34Z","snapshot_observed_at":"2026-08-03T22:43:35.819168Z","submitted_at":"2026-04-09T13:43:23Z","title":"HyperMem: Hypergraph Memory for Long-Term Conversations","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T17:00:25.344136Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2604.08256"},"observation_digest":"sha256:f16b12e29e058396ac94a238878402e5c4ab41391fe58339b451b763c5d144d2","observation_id":"a1278c5d-dcc3-44d6-929a-1650d9011b70","resolution":{"observed_at":"2026-05-11T07:45:57.446061Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2604.14362","last_updated":"2026-04-15T19:25:02Z","snapshot_observed_at":"2026-07-06T23:02:09.426599Z","submitted_at":"2026-04-15T19:25:02Z","title":"APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T13:31:34.962680Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2604.14362"},"observation_digest":"sha256:c70f173ae04f3472abef68a55ab715bafe806a78017fa197560bdcf0f3ea717a","observation_id":"28fa99ff-6e77-4237-8788-5933d4ecfee0","resolution":{"observed_at":"2026-05-10T13:35:26.521308Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2605.00356","last_updated":"2026-05-01T02:33:50Z","snapshot_observed_at":"2026-08-07T08:20:39.728402Z","submitted_at":"2026-05-01T02:33:50Z","title":"MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-09T19:48:28.975899Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2605.00356"},"observation_digest":"sha256:c3a2953e42e977edc8af208811a70b279e456c884607eab85e6ffd7f73c93721","observation_id":"d08c474f-300a-4760-bc35-ad69e523b422","resolution":{"observed_at":"2026-05-11T15:31:09.904694Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2605.06716","last_updated":"2026-05-07T03:38:48Z","snapshot_observed_at":"2026-08-02T11:07:24.826739Z","submitted_at":"2026-05-07T03:38:48Z","title":"From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-11T01:10:12.281373Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2605.06716"},"observation_digest":"sha256:10c8b0fa2c57d5a3078e1396b1c339ee4ef2e632272c0c927dd283983a7bd0cd","observation_id":"468b580f-8c8e-4ada-8b82-7dad43ac0a0a","resolution":{"observed_at":"2026-05-11T04:40:58.818031Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2605.18421","last_updated":"2026-05-18T13:54:38Z","snapshot_observed_at":"2026-08-02T07:00:41.376916Z","submitted_at":"2026-05-18T13:54:38Z","title":"EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T11:35:23.892275Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2605.18421"},"observation_digest":"sha256:99f0c72d0d484eeaccd1e74a0921d06732925f449779f870eeb7a150108e8ac7","observation_id":"1c0c57cd-fa8f-46c1-9bf9-44e3c3fd1c1d","resolution":{"observed_at":"2026-05-20T11:38:14.529574Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":"2503.21760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-02T06:06:41.545006Z","title":"Meminsight: Autonomous memory augmentation for llm agents","venue":null,"work_id":"dbe4e2ec-2f57-4e95-9e38-991b80da6c82","year":2025},"citing_paper":{"arxiv_id":"2606.04197","last_updated":"2026-06-02T20:31:54Z","snapshot_observed_at":"2026-08-06T03:09:36.679244Z","submitted_at":"2026-06-02T20:31:54Z","title":"Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T07:35:13.704622Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2606.04197"},"observation_digest":"sha256:4536403eb1d724b420e631c5a797b85060f16fd42efe6a57e54f8161db872bd4","observation_id":"10e8dc88-d945-43f2-98eb-666dac1e7cfc","resolution":{"observed_at":"2026-07-02T06:06:41.546465Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-07-14T12:26:27.446079Z","title":"Meminsight: Autonomous memory augmentation for llm agents.arXiv preprint arXiv:2503.21760, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10350","last_updated":"2026-07-17T17:27:03Z","snapshot_observed_at":"2026-08-02T07:21:21.791047Z","submitted_at":"2026-07-11T15:24:43Z","title":"ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-07-14T12:26:27.446079Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2607.10350"},"observation_digest":"sha256:814698736e8ffc6ab49e98e82bfd31f2a05a4f5f666860f873a2600e41757464","observation_id":"c275ed37-ba22-4f64-aaef-f1aeca8e0742","resolution":{"observed_at":"2026-07-14T12:26:27.446079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-08-02T07:21:30.765221Z","title":"Meminsight: Autonomous memory augmentation for llm agents.arXiv preprint arXiv:2503.21760, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10350","last_updated":"2026-07-17T17:27:03Z","snapshot_observed_at":"2026-08-02T07:21:21.791047Z","submitted_at":"2026-07-11T15:24:43Z","title":"ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-02T07:21:30.765221Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2607.10350"},"observation_digest":"sha256:4dc0f25a79ff18bc6b4a815a5bfd804c50efd33056ceee2d72053b371a48f69d","observation_id":"c2a68730-53ff-4625-b6a9-451c7c8f5bf9","resolution":{"observed_at":"2026-08-02T07:21:30.765221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21760","snapshot_observed_at":"2026-08-01T07:48:45.352989Z","title":"Meminsight: Autonomous memory augmentation for llm agents.arXiv preprint arXiv:2503.21760, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.27415","last_updated":"2026-07-29T19:31:50Z","snapshot_observed_at":"2026-08-07T14:17:40.895802Z","submitted_at":"2026-07-29T19:31:50Z","title":"Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T07:48:45.352989Z"},"links":{"cited_paper":"/paper/2503.21760","citing_paper":"/paper/2607.27415"},"observation_digest":"sha256:68f5610ed986eb76343e116cbae0408a96454fe3eba31a565211df8e74f5da6f","observation_id":"73dcef79-7ede-4519-b261-031d8fdf9ce8","resolution":{"observed_at":"2026-08-01T07:48:45.352989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.21760/citation-record","integrity":"/paper/2503.21760/integrity","json":"/paper/2503.21760/citation-record.json","paper":"/paper/2503.21760"},"outbound":[],"paper":{"arxiv_id":"2503.21760","last_updated":"2025-07-31T23:26:12Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T16:32:03.464415Z","submitted_at":"2025-03-27T17:57:28Z","title":"MemInsight: Autonomous Memory Augmentation for LLM Agents"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2503.21760."}