{"as_of":"2026-08-07T17:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:03b786c9611fadb44f34db60ebd23bd9e1c9cf7114b55c5d79b8c01318643e1c","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":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":31,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:53:55.194944Z","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":"2026-07-04T08:39:42.737022Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2504.01990","last_updated":"2025-08-02T12:44:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-31T18:00:29Z","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","version":2},"reference_index":279,"source":"pdf_text","source_observed_at":"2026-05-22T21:39:49.832151Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2504.01990"},"observation_digest":"sha256:0e9115e52c234d5d937cf0b3fa91d4bf58a20c7fd62e3c8be27079a91a865d94","observation_id":"50a14fd5-0044-433e-8bce-51282d1cb7ce","resolution":{"observed_at":"2026-05-22T21:42:11.073511Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-07T13:53:55.194944Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for llm agents.arXiv preprint arXiv:2407.04363,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20643","last_updated":"2025-05-27T02:44:00Z","snapshot_observed_at":"2026-08-07T13:47:39.109858Z","submitted_at":"2025-05-27T02:44:00Z","title":"Can Past Experience Accelerate LLM Reasoning?","version":1},"reference_index":1982,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:55.194944Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2505.20643"},"observation_digest":"sha256:5a309c5c0ab5cc89f3a72921c87c9c4503b6454462da43434b532a8fe0d4b65b","observation_id":"9d694ca8-4b0c-4b65-93cf-9384812c92fd","resolution":{"observed_at":"2026-08-07T13:53:55.194944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-07T05:24:28.419745Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for llm agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08098","last_updated":"2025-06-09T18:00:46Z","snapshot_observed_at":"2026-08-07T05:17:06.958262Z","submitted_at":"2025-06-09T18:00:46Z","title":"Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:24:28.419745Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2506.08098"},"observation_digest":"sha256:5147318b25a0afd1dfd586da8cb35c305958ea4dd7e2d33a0e27254f6e70c56c","observation_id":"9762c2aa-e7a8-4ead-b967-b52f5215ca69","resolution":{"observed_at":"2026-08-07T05:24:28.419745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-06T23:26:48.258330Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for llm agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18019","last_updated":"2025-07-04T14:29:40Z","snapshot_observed_at":"2026-08-07T07:31:09.988028Z","submitted_at":"2025-06-22T12:59:12Z","title":"Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:48.258330Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2506.18019"},"observation_digest":"sha256:05e78d6fdd200b6180f2726afcacb5fbcac36aef29ddf10712d16ea32b18858c","observation_id":"16109727-4c92-4eb5-8d4e-a74e50fea32c","resolution":{"observed_at":"2026-08-06T23:26:48.258330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-06T23:11:38.726240Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19527","last_updated":"2025-06-24T11:30:38Z","snapshot_observed_at":"2026-08-06T23:04:12.856341Z","submitted_at":"2025-06-24T11:30:38Z","title":"KnowMap: Efficient Knowledge-Driven Task Adaptation for LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:11:38.726240Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2506.19527"},"observation_digest":"sha256:4c1d5c4d3a25a47a0688fa950f8d3e6009966ce90915d46a17669fe9d9de8f99","observation_id":"80e3d5d8-6b8a-4c9a-9fca-993375e7c13f","resolution":{"observed_at":"2026-08-06T23:11:38.726240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-06T20:43:16.503215Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02097","last_updated":"2026-06-28T08:31:01Z","snapshot_observed_at":"2026-08-06T20:35:32.980157Z","submitted_at":"2025-07-02T19:25:44Z","title":"The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:43:16.503215Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2507.02097"},"observation_digest":"sha256:45ea69de13c681abaf238dc963cab0a600f068a636b7ae5d02b4eea0a667a2a7","observation_id":"77b547d0-d894-4c3a-9ce3-0eb524a1fe9c","resolution":{"observed_at":"2026-08-06T20:43:16.503215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2507.07957","last_updated":"2025-07-10T17:40:11Z","snapshot_observed_at":"2026-08-06T11:34:56.054509Z","submitted_at":"2025-07-10T17:40:11Z","title":"MIRIX: Multi-Agent Memory System for LLM-Based Agents","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T05:57:52.610922Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2507.07957"},"observation_digest":"sha256:ca6097fd6baac1eed429ca2beb882f6a18d4fa8a18d73f39af0d54c705ff1173","observation_id":"40c8eb1a-b2bb-44e5-92a7-d14cf1ec2015","resolution":{"observed_at":"2026-05-15T05:57:52.744617Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2507.13334","last_updated":"2025-07-21T17:48:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-17T17:50:36Z","title":"A Survey of Context Engineering for Large Language Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-13T20:58:45.060041Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2507.13334"},"observation_digest":"sha256:6cccfeb651053daf114ebfeac786a4181e2515bd85026b2d8ae71d464ff522ac","observation_id":"e45e8cc9-c3e9-4906-bb87-34e534d63c53","resolution":{"observed_at":"2026-05-13T20:58:45.277446Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-06T12:51:57.982734Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21407","last_updated":"2025-08-30T06:01:56Z","snapshot_observed_at":"2026-08-06T14:56:46.143908Z","submitted_at":"2025-07-29T00:27:12Z","title":"Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T12:51:57.982734Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2507.21407"},"observation_digest":"sha256:0a32d5b378b6be27be58cf90aeeb142c6d387e0ee8b9a75bc964b699b2c86517","observation_id":"ab681248-df72-4587-9b9f-5f6c250e66c6","resolution":{"observed_at":"2026-08-06T12:51:57.982734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2511.07328","last_updated":"2026-05-04T15:02:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-10T17:31:02Z","title":"Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-17T23:27:49.126341Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2511.07328"},"observation_digest":"sha256:2e05d0810f1ece821ff98592414a2d9abde6bcde6c2d381ac6c173537cabf018","observation_id":"8bfb8344-32b3-4fcb-9a0e-6d424c84b6d6","resolution":{"observed_at":"2026-05-17T23:30:29.394019Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2511.20857","last_updated":"2026-05-18T16:18:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-25T21:08:07Z","title":"Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory","version":1},"reference_index":148,"source":"arxiv_source","source_observed_at":"2026-05-14T23:13:15.016486Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2511.20857"},"observation_digest":"sha256:edd538f12ffcaa9e7e28a7141740fd6ae4d892bcf8e6b9155a86a0e7ba9c55a6","observation_id":"691a5612-6693-4df9-ae52-e2ba58af2ef5","resolution":{"observed_at":"2026-05-14T23:13:16.220580Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-03T18:03:36.012944Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for llm agents.arXiv preprint arXiv:2407.04363,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.07287","last_updated":"2026-06-28T11:58:42Z","snapshot_observed_at":"2026-08-05T13:20:26.960914Z","submitted_at":"2025-12-08T08:27:24Z","title":"Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T18:03:36.012944Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2512.07287"},"observation_digest":"sha256:4c777e28b095619a4ca958008fbaca5d64909e4ecdff8d3c5af4fb85b9e76a30","observation_id":"3efbbc40-1a7b-4df4-aa2d-64d17d44a35d","resolution":{"observed_at":"2026-08-03T18:03:36.012944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-03T09:21:32.969449Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for llm agents.arXiv preprint arXiv:2407.04363, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.14192","last_updated":"2026-07-03T11:26:58Z","snapshot_observed_at":"2026-08-07T15:05:40.772054Z","submitted_at":"2026-01-20T17:51:56Z","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:32.969449Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2601.14192"},"observation_digest":"sha256:75c6a81e82ec88cd4e62430ad2bfd7f4ae25cecc279777f4d736dfcd23f040b8","observation_id":"98abe8a0-ddc0-46a5-abf9-f4240f9c30af","resolution":{"observed_at":"2026-08-03T09:21:32.969449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2602.13933","last_updated":"2026-05-01T05:12:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-15T00:06:19Z","title":"HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-15T21:58:30.784843Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2602.13933"},"observation_digest":"sha256:37d0f5b48da0192705d71cea489827b1510c156da8d65ef3076e18ea1ae8be3b","observation_id":"d4f64035-cb30-4cb1-90e7-826e030440a3","resolution":{"observed_at":"2026-05-15T22:00:21.211870Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2604.08224","last_updated":"2026-04-09T13:19:41Z","snapshot_observed_at":"2026-08-02T22:56:00.067549Z","submitted_at":"2026-04-09T13:19:41Z","title":"Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-10T17:40:14.733882Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2604.08224"},"observation_digest":"sha256:b37e40a3c7e42a91a8aef2a31cb8ca51cf26751b2c480de64c8984d376abcbef","observation_id":"f32f635c-c27d-4ebc-a4bd-ebd1fa73b7e7","resolution":{"observed_at":"2026-05-11T06:21:00.504873Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2604.12285","last_updated":"2026-04-14T04:53:00Z","snapshot_observed_at":"2026-07-30T05:05:46.844737Z","submitted_at":"2026-04-14T04:53:00Z","title":"GAM: Hierarchical Graph-based Agentic Memory for LLM Agents","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-10T16:22:58.500558Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2604.12285"},"observation_digest":"sha256:934f0dd33f0c2be241ea7fb505286a1652f4bd67ed366ca5903972a8b2fe13d6","observation_id":"8c36c7dc-c89d-432d-a206-e7913340d661","resolution":{"observed_at":"2026-05-11T08:56:03.560753Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2604.15951","last_updated":"2026-04-20T11:32:15Z","snapshot_observed_at":"2026-07-06T23:03:21.422544Z","submitted_at":"2026-04-17T11:12:55Z","title":"Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-05-10T09:08:48.468564Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2604.15951"},"observation_digest":"sha256:1b286d36d73ee453f024652d36cbcaced737e8818bbe64544d33f2ffa44d3be2","observation_id":"83414659-080e-450f-9b43-cd1ff3ac7b25","resolution":{"observed_at":"2026-05-10T09:13:30.288374Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2605.01970","last_updated":"2026-05-15T06:42:15Z","snapshot_observed_at":"2026-07-06T23:15:07.159340Z","submitted_at":"2026-05-03T17:07:20Z","title":"Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-19T17:30:22.481943Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2605.01970"},"observation_digest":"sha256:76ef585047e7a3862f1125015ac72be0ddabfa736299d66609422e314a5be802","observation_id":"ca079e56-d1bf-4991-93eb-0e4e484c51eb","resolution":{"observed_at":"2026-05-19T17:32:41.585429Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2605.02106","last_updated":"2026-05-04T00:02:51Z","snapshot_observed_at":"2026-07-06T23:15:11.601042Z","submitted_at":"2026-05-04T00:02:51Z","title":"The Dynamic Gist-Based Memory Model (DGMM): A Memory-Centric Architecture for Artificial Intelligence","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-09T16:57:57.957457Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2605.02106"},"observation_digest":"sha256:e1e6820b10cefa24178e582e72d3a406057fcc45ae386cf3b4d0c2ac023b3176","observation_id":"7a1bdfb5-ac3b-460b-b973-6e15b0010b4b","resolution":{"observed_at":"2026-05-11T16:26:09.036588Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2605.08611","last_updated":"2026-05-09T02:12:39Z","snapshot_observed_at":"2026-07-06T23:20:47.880233Z","submitted_at":"2026-05-09T02:12:39Z","title":"The Echo Amplifies the Knowledge: Somatic Marker Analogues in Language Models via Emotion Vector Re-Injection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T01:21:58.149440Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2605.08611"},"observation_digest":"sha256:37c4c92b5f2585b74926e0b08ddbc24091e1deb162d6de61d8ceebb85f3d3af4","observation_id":"3c5e493b-38ca-4818-8e0b-3deddbabdd54","resolution":{"observed_at":"2026-05-12T08:01:32.190353Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2605.09278","last_updated":"2026-05-10T03:04:12Z","snapshot_observed_at":"2026-07-06T23:21:26.017420Z","submitted_at":"2026-05-10T03:04:12Z","title":"EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-12T04:47:29.903343Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2605.09278"},"observation_digest":"sha256:435362c9950f90c6a38bf930b15af678c04305b2712b67d85aa2d38c882f6dee","observation_id":"ba4dee6c-8994-4032-ad54-8864d0454b22","resolution":{"observed_at":"2026-05-12T05:56:25.937850Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2605.09330","last_updated":"2026-05-10T05:04:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-10T05:04:13Z","title":"The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T04:42:49.379223Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2605.09330"},"observation_digest":"sha256:70b10d0f6cb5fd1f901bcef9699900e96b7b256a6461f859b7c06f9a072a0ee9","observation_id":"cffd5778-cb22-4bc6-9b0b-46c2edb5efdb","resolution":{"observed_at":"2026-05-12T06:01:22.862093Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2605.09942","last_updated":"2026-05-11T03:41:18Z","snapshot_observed_at":"2026-07-06T23:21:59.096464Z","submitted_at":"2026-05-11T03:41:18Z","title":"HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-05-12T04:14:06.843343Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2605.09942"},"observation_digest":"sha256:65c81765b70a7a041df6496ea9ecfe9688e164be9a7fd1286a5f7a1309cd8af7","observation_id":"52509b81-f37b-4dd2-8d93-e69246f11c72","resolution":{"observed_at":"2026-05-12T06:31:25.195389Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"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":2,"source":"pdf_text","source_observed_at":"2026-05-20T11:35:23.892275Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2605.18421"},"observation_digest":"sha256:668cdb8c651c56f2b3b88f67afdbf6eff6ca3ef5a0d750945ad00c4be0c60c2d","observation_id":"0ea1fcf8-a074-4857-a2af-73e7ace2306f","resolution":{"observed_at":"2026-05-20T11:38:14.601274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2606.01249","last_updated":"2026-06-17T04:44:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-31T14:04:51Z","title":"Trust Region On-Policy Distillation","version":3},"reference_index":284,"source":"arxiv_source","source_observed_at":"2026-06-28T17:38:50.313305Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2606.01249"},"observation_digest":"sha256:e82187a5a6147a61065767377831155508c608ed181a97398837be2f56ec4754","observation_id":"958e3f7e-0ba5-41d1-8900-03a3bdb9ff08","resolution":{"observed_at":"2026-07-01T20:56:13.665987Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2606.05894","last_updated":"2026-07-08T14:22:28Z","snapshot_observed_at":"2026-07-30T09:36:26.091415Z","submitted_at":"2026-06-04T09:03:05Z","title":"EMBER: Efficient Memory via Budgeted Evidence Retention for Long-Horizon Agents","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T01:22:08.223852Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2606.05894"},"observation_digest":"sha256:cd14bc3ffc0b268dc1b84b4b01f6e6254477dce8704fde7bb515d1f3628eda08","observation_id":"7fda5720-60cb-42aa-bd3f-8e8577a000a6","resolution":{"observed_at":"2026-07-02T13:26:58.781172Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2606.06036","last_updated":"2026-06-04T11:29:46Z","snapshot_observed_at":"2026-07-06T23:45:56.266116Z","submitted_at":"2026-06-04T11:29:46Z","title":"Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-06-28T01:09:09.787495Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2606.06036"},"observation_digest":"sha256:bf88a00140a47d8ed782cb9aaa53c56059f1c68be51dc6ff15b7bca1c4e452d4","observation_id":"97c6a039-b192-475e-99d3-451b6c674c27","resolution":{"observed_at":"2026-07-02T13:36:59.309343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2606.07850","last_updated":"2026-08-04T09:33:41Z","snapshot_observed_at":"2026-08-07T17:16:11.695678Z","submitted_at":"2026-06-05T21:21:23Z","title":"PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T19:58:16.955786Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2606.07850"},"observation_digest":"sha256:f7a1942902ded7e3a68745180e09736b7f079b9de00eb5198c56d0ba5dd15f73","observation_id":"0089eda7-05d5-42ba-9da2-5dba023285c5","resolution":{"observed_at":"2026-07-02T21:07:23.555310Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2606.09038","last_updated":"2026-06-08T05:10:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-08T05:10:05Z","title":"Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-06-27T16:49:14.243931Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2606.09038"},"observation_digest":"sha256:a199267f597f0ed1b09d39397ee75c18944946a1426adbce59aa5589becc7db5","observation_id":"5494e26d-21c8-49d6-8eff-e3b8d76cdeca","resolution":{"observed_at":"2026-07-03T01:07:30.304913Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2407.04363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-07-04T08:39:42.737022Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for LLM agents","venue":null,"work_id":"5e87b079-06e6-4268-83b2-f336d186debd","year":2024},"citing_paper":{"arxiv_id":"2606.22385","last_updated":"2026-06-21T08:22:23Z","snapshot_observed_at":"2026-08-01T18:23:09.613202Z","submitted_at":"2026-06-21T08:22:23Z","title":"MetaPS: Adaptive Programmatic Strategy Selection for Market Agents","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-06-26T11:06:28.690956Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2606.22385"},"observation_digest":"sha256:67f146aa768e9477b87ff5ac6fca66e8f14af62419a8ab41add936949fc887aa","observation_id":"449c51b5-34eb-4072-9069-2d7b81efadc5","resolution":{"observed_at":"2026-07-04T08:39:42.738668Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04363","snapshot_observed_at":"2026-08-04T04:52:56.852885Z","title":"Arigraph: Learning knowledge graph world models with episodic memory for llm agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02553","last_updated":"2026-08-03T17:37:38Z","snapshot_observed_at":"2026-08-06T23:39:10.317481Z","submitted_at":"2026-08-03T17:37:38Z","title":"A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T04:52:56.852885Z"},"links":{"cited_paper":"/paper/2407.04363","citing_paper":"/paper/2608.02553"},"observation_digest":"sha256:d98265fa8b663e46329aa980907f8434c3425e78f8f175bcbe8673c30f53355e","observation_id":"f360543a-d238-47dc-892e-0e82a8a323f3","resolution":{"observed_at":"2026-08-04T04:52:56.852885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.04363/citation-record","integrity":"/paper/2407.04363/integrity","json":"/paper/2407.04363/citation-record.json","paper":"/paper/2407.04363"},"outbound":[],"paper":{"arxiv_id":"2407.04363","last_updated":"2025-05-15T10:57:51Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-04T20:25:50.849634Z","submitted_at":"2024-07-05T09:06:47Z","title":"AriGraph: Learning Knowledge Graph World Models with Episodic Memory 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2407.04363."}