{"as_of":"2026-08-09T19:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ad8a936d4d6a38362224fe7c294b8e49ac2aeb70e561f04495f35bae5b05a5c","coverage":[{"denominator":85,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":85,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:39:59.086756Z","state":"measured"},{"denominator":134,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":134,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":49,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:46:04.542848Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T01:36:44.001440Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-07T04:46:04.542848Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.09656","last_updated":"2025-08-07T08:42:17Z","snapshot_observed_at":"2026-08-08T06:47:05.646052Z","submitted_at":"2025-06-11T12:25:38Z","title":"Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives","version":2},"reference_index":140,"source":"pdf_text","source_observed_at":"2026-08-07T04:46:04.542848Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2506.09656"},"observation_digest":"sha256:6e5c32c2274729cafcea27493f362e5939284e51bb156dd2becaa9e6d4be6682","observation_id":"2c6f767b-f960-4c70-b571-c02c37ae58a8","resolution":{"observed_at":"2026-08-07T04:46:04.542848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","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":38,"source":"arxiv_source","source_observed_at":"2026-05-14T22:23:14.621091Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2507.21046"},"observation_digest":"sha256:3f18077171b22b319a14b7f84dd34881c522f976e23c7686beb138e46225f3d1","observation_id":"5f6166d7-045c-424f-8122-d4c5c4f29d97","resolution":{"observed_at":"2026-05-14T22:23:15.565964Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2508.03341","last_updated":"2026-04-16T06:59:15Z","snapshot_observed_at":"2026-08-02T15:32:15.163641Z","submitted_at":"2025-08-05T11:41:13Z","title":"What Deserves Memory: Adaptive Memory Distillation for LLM Agents","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-19T01:10:47.164918Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2508.03341"},"observation_digest":"sha256:a7fcec03c6595cbb50c5fdf381bdae07fbb433b29da0369f0b9820211d259306","observation_id":"08210b23-bde2-4fd7-a104-1f4db765aabb","resolution":{"observed_at":"2026-05-19T01:11:57.087283Z","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":"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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-05T10:34:03.725609Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03990","last_updated":"2025-09-08T07:40:58Z","snapshot_observed_at":"2026-08-09T12:09:54.153024Z","submitted_at":"2025-09-04T08:18:39Z","title":"Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T10:34:03.725609Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2509.03990"},"observation_digest":"sha256:a681552ce53474a6f572611a25ce8c5f635312404deebdcd809edc13d7499744","observation_id":"78a4b77c-2a02-4a0b-b2b6-56e9729b33ad","resolution":{"observed_at":"2026-08-05T10:34:03.725609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2510.16079","last_updated":"2026-05-16T02:57:47Z","snapshot_observed_at":"2026-08-05T00:54:36.690304Z","submitted_at":"2025-10-17T12:03:16Z","title":"EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-18T06:19:44.360734Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2510.16079"},"observation_digest":"sha256:457ab20bf3a1d7e77470468f86fcde529506a57913424dd63eb54ab846e909ed","observation_id":"18cfa9d1-1d78-48ab-b25b-c81c8964e6dd","resolution":{"observed_at":"2026-05-18T06:20:58.350036Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2510.16079","last_updated":"2026-05-16T02:57:47Z","snapshot_observed_at":"2026-08-05T00:54:36.690304Z","submitted_at":"2025-10-17T12:03:16Z","title":"EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-21T20:50:06.642976Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2510.16079"},"observation_digest":"sha256:100e5fa2af2c04854a9403cf249db48abcb7651a4e3e3217f496cd83a6d2b5f1","observation_id":"b1fc375c-39ac-4d84-95a8-e86d15c109d5","resolution":{"observed_at":"2026-05-21T20:50:36.486889Z","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":"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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-04T09:16:55.442906Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.16392","last_updated":"2026-06-02T13:40:35Z","snapshot_observed_at":"2026-08-05T21:39:30.872518Z","submitted_at":"2025-10-18T08:16:46Z","title":"RGMem: Renormalization Group-inspired Memory Evolution for Language Agents","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T09:16:55.442906Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2510.16392"},"observation_digest":"sha256:29d9518c069a4cb1c3baaaec44ce82dc0e72293681985a6f49f30422f728e033","observation_id":"b9058fbd-7617-4663-9073-a1879979d395","resolution":{"observed_at":"2026-08-04T09:16:55.442906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2511.02805","last_updated":"2026-05-08T08:08:53Z","snapshot_observed_at":"2026-08-02T15:47:22.171069Z","submitted_at":"2025-11-04T18:27:39Z","title":"MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-18T00:57:25.902674Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2511.02805"},"observation_digest":"sha256:f1de162a3dd7adf25588c91cc5c2d081dd547a5fc9bbb991b57b7ea00932d782","observation_id":"c7f2a94a-accb-454d-b16a-289ba5641e7c","resolution":{"observed_at":"2026-05-18T01:00:34.547008Z","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":"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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-03T11:01:43.659160Z","title":"G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.07978","last_updated":"2026-07-13T12:55:23Z","snapshot_observed_at":"2026-08-03T11:01:42.993651Z","submitted_at":"2026-01-12T20:20:35Z","title":"Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models","version":4},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-03T11:01:43.659160Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2601.07978"},"observation_digest":"sha256:08869cfb3194499edeb2a6ab21b9552e86cc13d154ee54353bb29d56438c69a2","observation_id":"e54c92d3-0a27-4707-96e3-446ddcc7e2fa","resolution":{"observed_at":"2026-08-03T11:01:43.659160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2602.02350","last_updated":"2026-05-13T02:31:43Z","snapshot_observed_at":"2026-08-06T12:45:12.155521Z","submitted_at":"2026-02-02T17:15:17Z","title":"Context Learning for Multi-Agent Discussion","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-16T08:08:39.182921Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2602.02350"},"observation_digest":"sha256:076bbe59a7b534e299032d9afbde9c592af9f86ffe00c894831c8807ab07495f","observation_id":"d3876593-73c6-43f2-921a-67b951575af8","resolution":{"observed_at":"2026-05-16T08:10:45.477611Z","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":"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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-03T04:48:19.754757Z","title":"G- Memory: Tracing hierarchical memory for multi-agent systems.CoRR, abs/2506.07398,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.00026","last_updated":"2026-06-17T08:35:40Z","snapshot_observed_at":"2026-08-08T07:44:25.958562Z","submitted_at":"2026-02-04T00:54:53Z","title":"ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents","version":2},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-03T04:48:19.754757Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2603.00026"},"observation_digest":"sha256:27f9073f8e7472d464b55a1ddb3879496a263d592f89a04d7e9944eb797f8bb5","observation_id":"10aa68d3-000e-42d0-b0f0-93bfe5213ffc","resolution":{"observed_at":"2026-08-03T04:48:19.754757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2604.07863","last_updated":"2026-04-09T06:24:16Z","snapshot_observed_at":"2026-07-06T22:57:05.146373Z","submitted_at":"2026-04-09T06:24:16Z","title":"Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph Memory","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T17:23:35.260403Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2604.07863"},"observation_digest":"sha256:f4ad825f32bf78c3faf65ad2c9be819a47cad53b540a6bbc900bacc7d683290b","observation_id":"942dff7f-1688-4f76-8e51-5fda87e3b514","resolution":{"observed_at":"2026-05-11T06:55:59.570529Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2604.08216","last_updated":"2026-05-18T11:20:22Z","snapshot_observed_at":"2026-07-31T19:05:02.577530Z","submitted_at":"2026-04-09T13:13:53Z","title":"MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T17:46:59.581486Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2604.08216"},"observation_digest":"sha256:acb1f32e03c453b38fe5c6555951a1c108f7454f02caebfef85adf6316ff91a9","observation_id":"dd7c2e84-f031-4055-a84e-cba7a22b8d51","resolution":{"observed_at":"2026-05-11T06:10:59.128923Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2604.08216","last_updated":"2026-05-18T11:20:22Z","snapshot_observed_at":"2026-07-31T19:05:02.577530Z","submitted_at":"2026-04-09T13:13:53Z","title":"MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-21T09:34:16.292323Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2604.08216"},"observation_digest":"sha256:cbf21dc145eaa6bf43f6e762ea626ee2ce9520ef94b9fcafba0f8f6a4b014592","observation_id":"cb318a98-d0d4-4c96-bb56-a018371bcf7f","resolution":{"observed_at":"2026-05-21T09:34:57.185988Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"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":30,"source":"arxiv_source","source_observed_at":"2026-05-10T16:22:58.500558Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2604.12285"},"observation_digest":"sha256:d1821acf54d7a1ac625d35a8d441c670c0f11e695f5cb372c39ae795a13dc88c","observation_id":"db2817a0-dfd3-48c3-969b-6db585686c1b","resolution":{"observed_at":"2026-05-11T08:56:03.477347Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2604.26197","last_updated":"2026-05-30T17:35:06Z","snapshot_observed_at":"2026-08-02T05:17:18.184316Z","submitted_at":"2026-04-29T00:53:52Z","title":"Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-07T13:32:24.889097Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2604.26197"},"observation_digest":"sha256:82c28d3d1fac4cdb8821ec1a365d34159a2440260d9cbf47596c322f9ea997c3","observation_id":"2fedd47c-74ee-45d6-8eec-11bca2dd949f","resolution":{"observed_at":"2026-05-12T08:56:24.895423Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2604.26197","last_updated":"2026-05-30T17:35:06Z","snapshot_observed_at":"2026-08-02T05:17:18.184316Z","submitted_at":"2026-04-29T00:53:52Z","title":"Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-01T09:07:57.475223Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2604.26197"},"observation_digest":"sha256:12aad60225fb6cd3e309407d8095257321fe01ca979b314b8de9afb4f7ebb711","observation_id":"63eb09da-a15c-4a8f-bca0-21c1215f4377","resolution":{"observed_at":"2026-07-01T09:25:40.539063Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2604.27221","last_updated":"2026-04-29T21:43:16Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-29T21:43:16Z","title":"Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-07T09:35:14.203293Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2604.27221"},"observation_digest":"sha256:62187cf851288f886654d3e0530c8fc9152ba4e4375ecab13633c00b717b97d3","observation_id":"225f77b7-749f-4feb-92a4-c8e058161fdd","resolution":{"observed_at":"2026-05-12T09:46:25.947080Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.07358","last_updated":"2026-05-26T05:21:04Z","snapshot_observed_at":"2026-07-06T23:19:46.018236Z","submitted_at":"2026-05-08T07:10:26Z","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-11T01:47:39.926540Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.07358"},"observation_digest":"sha256:bc9bf6b379ce8048e3bb9465abbd88f4ed80fe0de4626bf96f6142035aad42a5","observation_id":"dfbf4800-f9bb-4eda-b487-d36b26f9561c","resolution":{"observed_at":"2026-05-11T04:20:57.014561Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.07358","last_updated":"2026-05-26T05:21:04Z","snapshot_observed_at":"2026-07-06T23:19:46.018236Z","submitted_at":"2026-05-08T07:10:26Z","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-20T23:15:44.550045Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.07358"},"observation_digest":"sha256:1052de349a8ef347b377318790573de3467583165333c87cce46c45c0ab7cc1b","observation_id":"8a6ba1e6-12dd-4ca7-ae70-81bdd2472f90","resolution":{"observed_at":"2026-05-20T23:19:15.022116Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.07358","last_updated":"2026-05-26T05:21:04Z","snapshot_observed_at":"2026-07-06T23:19:46.018236Z","submitted_at":"2026-05-08T07:10:26Z","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-06-30T23:23:42.883286Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.07358"},"observation_digest":"sha256:a9fd55d3119debda3952353a47e47daca7eefb024caf2b314153fc57b5340e30","observation_id":"b07b3f75-b257-4971-b4c4-a4aa2c974924","resolution":{"observed_at":"2026-06-30T23:25:07.417482Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.07594","last_updated":"2026-05-14T02:47:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-08T11:07:04Z","title":"MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-11T02:36:53.775557Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.07594"},"observation_digest":"sha256:ef538ae8ab679f0de1a450999b6fe523fc31839c4cc6239c1c2e633671a5958a","observation_id":"b4aeaab1-f148-45da-aa88-76c4654382e6","resolution":{"observed_at":"2026-05-11T03:10:53.806512Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.07594","last_updated":"2026-05-14T02:47:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-08T11:07:04Z","title":"MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-15T05:57:05.259111Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.07594"},"observation_digest":"sha256:0b40dda3f320d4305956be9f938d3f056d2b7846791e1d70228a41bfbf0a4e5c","observation_id":"f77818c5-1c24-474a-a8d0-26334c55837c","resolution":{"observed_at":"2026-05-15T05:59:49.055367Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"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":89,"source":"pdf_text","source_observed_at":"2026-05-12T04:47:29.903343Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.09278"},"observation_digest":"sha256:0c09f72be795de359cac7cad36bde924e5722be33997cf06bdf90f686fc305ab","observation_id":"7d3ade9c-6270-456f-8e84-6dccf340605d","resolution":{"observed_at":"2026-05-12T05:56:26.196422Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"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":62,"source":"pdf_text","source_observed_at":"2026-05-12T04:42:49.379223Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.09330"},"observation_digest":"sha256:762dbd75ea261e1614cc07448c83078fdd50439964d4abeb0b10fd9ce8e342e4","observation_id":"f503088e-66db-4cd4-9a73-a954b29ea3cf","resolution":{"observed_at":"2026-05-12T06:01:22.808275Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.12061","last_updated":"2026-05-12T12:47:43Z","snapshot_observed_at":"2026-08-06T07:22:02.201477Z","submitted_at":"2026-05-12T12:47:43Z","title":"SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory","version":1},"reference_index":251,"source":"arxiv_source","source_observed_at":"2026-05-13T04:45:34.957298Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.12061"},"observation_digest":"sha256:34ec0a4bd9b908f7b5c95a4a1b5caf3c69bdb653597c3a9fbaabedac04a8bcfb","observation_id":"f8613966-3e9f-4624-961d-a4305f94ab81","resolution":{"observed_at":"2026-05-13T04:52:17.506396Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.13037","last_updated":"2026-05-13T05:46:29Z","snapshot_observed_at":"2026-08-05T09:07:24.966960Z","submitted_at":"2026-05-13T05:46:29Z","title":"MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-14T19:48:53.213389Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.13037"},"observation_digest":"sha256:8b8ae3880f6dee6c0e187af853671e67d87bfc77c5bcc1e4fba339ca0ce2652f","observation_id":"02ed62b2-63b0-4422-a93e-d0ce30a6ea2a","resolution":{"observed_at":"2026-05-14T19:49:25.810074Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.13880","last_updated":"2026-05-11T04:34:43Z","snapshot_observed_at":"2026-07-06T23:25:25.361350Z","submitted_at":"2026-05-11T04:34:43Z","title":"PREPING: Building Agent Memory without Tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-15T06:14:14.385586Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.13880"},"observation_digest":"sha256:52fcb8d9c34351b7b6bec1dd33f833c7a74b0c5a5e91698eee6141b5ff4c8066","observation_id":"b608efb2-ee16-46f9-bcd4-921652f643ba","resolution":{"observed_at":"2026-05-15T06:15:06.862668Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.14133","last_updated":"2026-05-18T05:36:27Z","snapshot_observed_at":"2026-07-06T23:25:34.835136Z","submitted_at":"2026-05-13T21:34:08Z","title":"ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-15T05:08:15.750558Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.14133"},"observation_digest":"sha256:c525866eeabc54642c60ec72ba1f5ac1a18d3f76ba49e0627f0620785e26d648","observation_id":"5ffc09a4-9050-40af-bdf5-1c3987580b6c","resolution":{"observed_at":"2026-05-15T05:09:45.104811Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.14133","last_updated":"2026-05-18T05:36:27Z","snapshot_observed_at":"2026-07-06T23:25:34.835136Z","submitted_at":"2026-05-13T21:34:08Z","title":"ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-20T20:19:21.824216Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.14133"},"observation_digest":"sha256:3350e7f30303a3f7ad79037ccb509e787ae6b8404b6052dbf0297bb59c9c6ff4","observation_id":"e812a28a-df11-4ad8-84db-a08f174907fa","resolution":{"observed_at":"2026-05-20T20:23:43.263414Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.17721","last_updated":"2026-05-18T00:50:23Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-18T00:50:23Z","title":"EXG: Self-Evolving Agents with Experience Graphs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-19T22:17:10.728289Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.17721"},"observation_digest":"sha256:67e6946f26f7a11e6482f018bb672c1df7aa295f1b7a73bbd9a2fcee99406d4d","observation_id":"b663566a-1c6f-49d1-ae63-7c7d130a5aab","resolution":{"observed_at":"2026-05-19T22:17:49.400040Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.21768","last_updated":"2026-05-20T22:02:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-20T22:02:00Z","title":"Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-22T09:18:15.753115Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.21768"},"observation_digest":"sha256:b1c76cf0b423e2162b3f244286cd2dee53cd955c35084f2e82d16f3507ece38c","observation_id":"596ed59e-b5bf-45c2-8ab3-6739863e5118","resolution":{"observed_at":"2026-05-22T09:21:21.782963Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.22721","last_updated":"2026-05-21T16:55:40Z","snapshot_observed_at":"2026-08-03T04:38:03.743802Z","submitted_at":"2026-05-21T16:55:40Z","title":"Self-Evolving Multi-Agent Systems via Decentralized Memory","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-22T03:20:14.212201Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.22721"},"observation_digest":"sha256:9b3fee1935d93287f1a612beaabc2758a87cf7f227310d31900e8136e233f1da","observation_id":"ab636b72-47dd-467f-bab0-0b43bd6ac3b0","resolution":{"observed_at":"2026-05-22T03:20:59.046381Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.23989","last_updated":"2026-05-17T10:26:37Z","snapshot_observed_at":"2026-07-06T23:34:08.786038Z","submitted_at":"2026-05-17T10:26:37Z","title":"Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security","version":1},"reference_index":199,"source":"pdf_text","source_observed_at":"2026-06-30T19:18:40.244556Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.23989"},"observation_digest":"sha256:903f7931b45d34f4afefabe580b61c607622c26a292e9045bc3a08da3bd1a352","observation_id":"1d98c228-994e-4265-a70a-b19bdc5d2d11","resolution":{"observed_at":"2026-06-30T19:45:01.578471Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2605.28773","last_updated":"2026-05-27T17:35:34Z","snapshot_observed_at":"2026-07-06T23:38:19.096349Z","submitted_at":"2026-05-27T17:35:34Z","title":"Rethinking Memory as Continuously Evolving Connectivity","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-06-29T12:25:50.220145Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2605.28773"},"observation_digest":"sha256:3d73711e8b459dbaf9bfd115e8ff9fdf912f0003e2a76b31891d9256a99f1628","observation_id":"e99916cd-838f-4071-9ef8-e3e92fba5d96","resolution":{"observed_at":"2026-06-29T12:33:24.788069Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2606.06090","last_updated":"2026-06-04T12:26:42Z","snapshot_observed_at":"2026-08-01T08:25:21.577163Z","submitted_at":"2026-06-04T12:26:42Z","title":"Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T01:48:27.500631Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.06090"},"observation_digest":"sha256:09460a7e329f40e7de5b072f88f61424acb8a5c73127b7524918ff73826c5637","observation_id":"2d4a86d0-49db-4f0c-8454-d26adeb933ff","resolution":{"observed_at":"2026-07-02T12:46:57.332758Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2606.08702","last_updated":"2026-06-07T15:59:15Z","snapshot_observed_at":"2026-08-02T00:42:03.814874Z","submitted_at":"2026-06-07T15:59:15Z","title":"ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T18:41:56.982127Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.08702"},"observation_digest":"sha256:c15d777b9c64614c61cd99298e2587538782a23fdeca88e7aac01f2a07922d83","observation_id":"b1c2df49-34a2-4901-8134-3922f984e19b","resolution":{"observed_at":"2026-07-02T22:37:26.603321Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2606.08755","last_updated":"2026-06-07T17:55:55Z","snapshot_observed_at":"2026-08-01T04:11:26.349236Z","submitted_at":"2026-06-07T17:55:55Z","title":"Co-Evolving Skill Generation and Policy Optimization","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-27T18:37:00.015083Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.08755"},"observation_digest":"sha256:f1bd1c3ddecb971e9c89e6528b95f2f965140e49595ff3f8e1075eed37d8af07","observation_id":"f0fe70a6-bcd7-432b-95d9-ee64fd3b2e0e","resolution":{"observed_at":"2026-07-02T22:47:26.421753Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2606.20295","last_updated":"2026-07-24T07:54:17Z","snapshot_observed_at":"2026-08-02T10:48:55.986116Z","submitted_at":"2026-06-18T14:33:09Z","title":"Token-Operations-Oriented Inference Optimization Techniques for Large Models","version":1},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-06-26T16:15:22.543601Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.20295"},"observation_digest":"sha256:0185b7792b6b248a883e6b335ad87ea3bd982fce3721c478b69e528da8efdbc8","observation_id":"6288f445-7950-4a14-bd07-8f778e5611a8","resolution":{"observed_at":"2026-07-04T05:09:36.926737Z","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":"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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-02T10:49:10.181674Z","title":"G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.20295","last_updated":"2026-07-24T07:54:17Z","snapshot_observed_at":"2026-08-02T10:48:55.986116Z","submitted_at":"2026-06-18T14:33:09Z","title":"Token-Operations-Oriented Inference Optimization Techniques for Large Models","version":2},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-08-02T10:49:10.181674Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.20295"},"observation_digest":"sha256:c3306044bfea7825000745e4595f3e7df62df9bde8d4458b916d1435eb08093c","observation_id":"090d00ca-c7e0-4208-bbc5-53dd7b95c9fe","resolution":{"observed_at":"2026-08-02T10:49:10.181674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2606.20695","last_updated":"2026-06-15T07:25:11Z","snapshot_observed_at":"2026-08-08T19:10:02.007918Z","submitted_at":"2026-06-15T07:25:11Z","title":"How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T02:49:04.341583Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.20695"},"observation_digest":"sha256:575270493912270e1d66e45a8d74b24b6950ea34cc149fb2dd53ae01b3c4d795","observation_id":"893cdd5b-cd63-4fd0-838f-008ba6f8585e","resolution":{"observed_at":"2026-07-03T18:38:48.836611Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"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":49,"source":"arxiv_source","source_observed_at":"2026-06-26T11:06:28.690956Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.22385"},"observation_digest":"sha256:488f74d03a36bf49a1a47143806f60be95b65d4b0d28b40f51f086f0972306b2","observation_id":"cf538a80-63dd-4e81-9035-5cb2411fc42d","resolution":{"observed_at":"2026-07-04T08:39:42.559706Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2606.24535","last_updated":"2026-06-23T13:04:14Z","snapshot_observed_at":"2026-08-03T20:32:28.314300Z","submitted_at":"2026-06-23T13:04:14Z","title":"Governed Shared Memory for Multi-Agent LLM Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-25T23:56:11.566393Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.24535"},"observation_digest":"sha256:7d42cc93e77f1fe1e13c1b8b679706609ac238931cb8008cedfd205793c94392","observation_id":"53373bf3-4f82-4f19-bf6f-2e4f4bcf5075","resolution":{"observed_at":"2026-07-04T17:09:58.704054Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2606.28566","last_updated":"2026-06-26T19:44:34Z","snapshot_observed_at":"2026-08-02T14:59:42.646608Z","submitted_at":"2026-06-26T19:44:34Z","title":"R$^2$-Searcher: Calibrating Retrieval and Reasoning Boundaries for Agentic Search","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-30T00:33:59.778294Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2606.28566"},"observation_digest":"sha256:d74ea2f6bb3e57de53b95e851876a1347aa960531069c4fa0ddacba6c0fdf351","observation_id":"3cecfd7c-5a64-445d-a98a-ab2c996f9065","resolution":{"observed_at":"2026-06-30T00:34:05.229923Z","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":"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},"cited_work":{"arxiv_id":"2506.07398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-10T01:36:44.001440Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems","venue":"cs.MA","work_id":"e5c4ec9c-3e43-42d1-a3d7-0deef9c44093","year":2025},"citing_paper":{"arxiv_id":"2607.08032","last_updated":"2026-07-09T01:15:03Z","snapshot_observed_at":"2026-08-02T16:38:21.894642Z","submitted_at":"2026-07-09T01:15:03Z","title":"What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents","version":1},"reference_index":146,"source":"pdf_text","source_observed_at":"2026-07-10T01:26:59.421158Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2607.08032"},"observation_digest":"sha256:299ee8d712ffc4499ab8ff9f510decbf76099bd086bca88ac38e6d4e7c21a410","observation_id":"51d2ae51-2af7-401a-b2d9-0686d96a9d20","resolution":{"observed_at":"2026-07-10T01:36:44.002603Z","resolver_source":"local_arxiv","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":"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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-07-13T01:48:40.840857Z","title":"just ahead","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09603","last_updated":"2026-07-10T16:57:37Z","snapshot_observed_at":"2026-08-07T15:38:14.228591Z","submitted_at":"2026-07-10T16:57:37Z","title":"Mosaic: Runtime-Efficient Multi-Agent Embodied Planning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-13T01:48:40.840857Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2607.09603"},"observation_digest":"sha256:c1b509d299cdc91cb8468757e75594852b4cdbc821b4d6c1d2ca825d24b8ce89","observation_id":"d65400a8-1f43-46cc-93eb-21bf779d78b8","resolution":{"observed_at":"2026-07-13T01:48:40.840857Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-02T04:50:30.548751Z","title":"G-Memory: Tracing hierarchical memory for multi-agent systems.arXiv preprint arXiv:2506.07398, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13591","last_updated":"2026-07-15T08:32:40Z","snapshot_observed_at":"2026-08-06T21:05:54.197003Z","submitted_at":"2026-07-15T08:32:40Z","title":"Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T04:50:30.548751Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2607.13591"},"observation_digest":"sha256:39b58761a750d055a1aa089788dff4b967ad7d26da53d10834b9664adc9ca4fa","observation_id":"acf83a8e-8481-4ab1-8231-39ac6af097d8","resolution":{"observed_at":"2026-08-02T04:50:30.548751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-01T12:21:59.122258Z","title":"Zhang, M","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19592","last_updated":"2026-07-21T21:38:39Z","snapshot_observed_at":"2026-08-06T23:57:45.164849Z","submitted_at":"2026-07-21T21:38:39Z","title":"Knowledge-Centric Self-Improvement","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T12:21:59.122258Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2607.19592"},"observation_digest":"sha256:aa70385495d41cc7d5de174e71d306478cace886a500d8e33df95f808ca56c4d","observation_id":"2df9f464-0dd6-4ec9-8131-b08121a88844","resolution":{"observed_at":"2026-08-01T12:21:59.122258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07398","snapshot_observed_at":"2026-08-02T13:56:34.026602Z","title":"G- memory: Tracing hierarchical memory for multi-agent systems, 2025.URL https://arxiv","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21604","last_updated":"2026-05-15T16:29:36Z","snapshot_observed_at":"2026-08-09T00:30:29.280235Z","submitted_at":"2026-05-15T16:29:36Z","title":"AgentKVShift: Efficient KV Cache Reuse for Agentic Memory Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T13:56:34.026602Z"},"links":{"cited_paper":"/paper/2506.07398","citing_paper":"/paper/2607.21604"},"observation_digest":"sha256:7c31a8162ea86594b351ddbe68798773ec98776c1c2aa5f7df159983327293dc","observation_id":"9e208cd2-eb40-41a8-bf5d-698d16ebd32b","resolution":{"observed_at":"2026-08-02T13:56:34.026602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.07398/citation-record","integrity":"/paper/2506.07398/integrity","json":"/paper/2506.07398/citation-record.json","paper":"/paper/2506.07398"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.624684Z","title":"Organizational memory.Academy of management review, 16(1):57–91, 1991","venue":null,"work_id":null,"year":1991},"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":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.624684Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:5b006d2244b581e2b21e82a99d478c6ed8bd382ce4cc334f7ffb30b5d88d660c","observation_id":"a5a8ce5c-0754-44b2-91a6-8f55355ce3fc","resolution":{"observed_at":"2026-08-07T05:39:58.624684Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.629529Z","title":"Palm-e: An embodied multimodal language model","venue":null,"work_id":null,"year":2023},"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":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.629529Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:c24619a72fb3d2b32a662c4789e31ba588243cecfed7265f8e6bf3c341f3ad01","observation_id":"6ea2ec61-e9dd-4d48-af87-3d303b2875ae","resolution":{"observed_at":"2026-08-07T05:39:58.629529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01533","last_updated":"2025-04-16T15:12:21Z","snapshot_observed_at":"2026-08-07T03:24:13.032388Z","submitted_at":"2024-05-02T17:59:24Z","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01533","snapshot_observed_at":"2026-08-07T05:39:58.633777Z","title":"Omnidrive: A holistic llm-agent framework for autonomous driving with 3d perception, reasoning and planning","venue":null,"work_id":null,"year":2024},"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":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.633777Z"},"links":{"cited_paper":"/paper/2405.01533","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:dc43c27e6ca94ec5d16550f348dc04e3f1e9b6743d95241ebd7390cd080eeb00","observation_id":"4456f330-06f8-4cd2-bad0-638a7c9451a3","resolution":{"observed_at":"2026-08-07T05:39:58.633777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13255","last_updated":"2023-12-07T05:36:26Z","snapshot_observed_at":"2026-08-02T03:40:39.621359Z","submitted_at":"2023-10-20T03:22:05Z","title":"Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.13255","snapshot_observed_at":"2026-08-07T05:39:58.638427Z","title":"Steve-eye: Equipping llm-based embodied agents with visual perception in open worlds","venue":null,"work_id":null,"year":2023},"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":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.638427Z"},"links":{"cited_paper":"/paper/2310.13255","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:3077faa7f1b5a89d510dc8db3d730164fdf0e846b0efdd19495ac7129a17e1b4","observation_id":"d2290217-2ddc-409c-ba2e-759d2c259cc6","resolution":{"observed_at":"2026-08-07T05:39:58.638427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.642746Z","title":"Editable scene simulation for autonomous driving via collaborative llm-agents","venue":null,"work_id":null,"year":2024},"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":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.642746Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:4bb2dddc9b768aeec758a54d63b3c6b830c658d436f98c21913c4118d93089b5","observation_id":"9d2142a8-fd0c-4c25-8363-67fc1557abd8","resolution":{"observed_at":"2026-08-07T05:39:58.642746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03101","last_updated":"2025-02-21T05:04:27Z","snapshot_observed_at":"2026-08-02T10:16:46.733629Z","submitted_at":"2024-03-05T16:39:12Z","title":"KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03101","snapshot_observed_at":"2026-08-07T05:39:58.646760Z","title":"Knowagent: Knowledge-augmented planning for llm-based agents","venue":null,"work_id":null,"year":2024},"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":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.646760Z"},"links":{"cited_paper":"/paper/2403.03101","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:456e4fe04bbbdb429620232160f47f470a085515e1ceae01cd8165ee4cfd6b3b","observation_id":"35993124-e820-4d9f-a236-609f73103add","resolution":{"observed_at":"2026-08-07T05:39:58.646760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09572","last_updated":"2025-04-22T17:56:22Z","snapshot_observed_at":"2026-08-07T20:22:20.692339Z","submitted_at":"2025-03-12T17:40:52Z","title":"Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09572","snapshot_observed_at":"2026-08-07T05:39:58.651688Z","title":"Plan-and-act: Improving planning of agents for long-horizon tasks","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":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.651688Z"},"links":{"cited_paper":"/paper/2503.09572","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:0937396b4e397fa1d25fbe149b6277eaadd8bfc7fd844cc4d393a0172200a96f","observation_id":"7f106a2c-85fb-47dd-a801-90283bf7c8ef","resolution":{"observed_at":"2026-08-07T05:39:58.651688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02716","last_updated":"2024-02-05T04:25:24Z","snapshot_observed_at":"2026-08-09T14:47:51.558187Z","submitted_at":"2024-02-05T04:25:24Z","title":"Understanding the planning of LLM agents: A survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02716","snapshot_observed_at":"2026-08-07T05:39:58.655986Z","title":"Understanding the planning of llm agents: A survey","venue":null,"work_id":null,"year":2024},"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":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.655986Z"},"links":{"cited_paper":"/paper/2402.02716","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:d63232c79b49b4f6ccc3c1db8141146d9447668ef981897f8bd4408b75f499b8","observation_id":"486368ec-875d-4ae7-b9a0-e36c74dc555f","resolution":{"observed_at":"2026-08-07T05:39:58.655986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07199","last_updated":"2024-08-13T20:52:13Z","snapshot_observed_at":"2026-08-01T22:07:45.419539Z","submitted_at":"2024-08-13T20:52:13Z","title":"Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07199","snapshot_observed_at":"2026-08-07T05:39:58.659944Z","title":"Agent q: Advanced reasoning and learning for autonomous ai agents","venue":null,"work_id":null,"year":2024},"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":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.659944Z"},"links":{"cited_paper":"/paper/2408.07199","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:bc8304c8bb0d6172eef92a583cf15f8c695141aa4187e9d776a99feb4fb51b0c","observation_id":"9cef29a0-f38c-4ba6-afb3-805d3e012fed","resolution":{"observed_at":"2026-08-07T05:39:58.659944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11584","last_updated":"2024-04-17T17:32:41Z","snapshot_observed_at":"2026-08-04T23:37:27.678120Z","submitted_at":"2024-04-17T17:32:41Z","title":"The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11584","snapshot_observed_at":"2026-08-07T05:39:58.664216Z","title":"The landscape of emerging ai agent architectures for reasoning, planning, and tool calling: A survey","venue":null,"work_id":null,"year":2024},"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":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.664216Z"},"links":{"cited_paper":"/paper/2404.11584","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:aed326f70639facf1a4b2f8ba83a6af5b7c6e9f16b9b613bf7aa09cd5c3e8787","observation_id":"ddee92e7-7722-4076-b0f2-9a912ea3e3e0","resolution":{"observed_at":"2026-08-07T05:39:58.664216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.668378Z","title":"Embodied agent interface: Benchmarking llms for embodied decision making","venue":null,"work_id":null,"year":2024},"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":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.668378Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:1752ded7843332f37b7eee41aef57ecda7860abc328187f9dbf363571907b03a","observation_id":"6c7010fb-d691-4ef7-b1b2-9c1344ebeb50","resolution":{"observed_at":"2026-08-07T05:39:58.668378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.672248Z","title":"Embodied multi-modal agent trained by an llm from a parallel textworld","venue":null,"work_id":null,"year":2024},"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":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.672248Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:9eb5451e7bcebb0e2c89cd06616239119369d01fde3d453e15ab2e4b3e09260e","observation_id":"369278b6-bead-427f-8fdf-a2f41f403530","resolution":{"observed_at":"2026-08-07T05:39:58.672248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.311867Z","title":"Autogen: Enabling next-gen llm applications via multi-agent conversation framework, August 01, 2023 2023","venue":null,"work_id":"e2bc73bb-df58-41df-a81b-fdc3ac40dbc0","year":2023},"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":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.675942Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:fdfc05fd55e3862f4f3bf108d46bac9252459a9fc74bfc0cba7076b92ed1fac9","observation_id":"964bcbef-f70e-4a43-b5e9-258ba0120cd6","resolution":{"observed_at":"2026-08-07T05:40:00.321864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.679668Z","title":null,"venue":null,"work_id":null,"year":2024},"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":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.679668Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:20fac016587dbaf8a9723e862a3943d2889d8efc18fc481dcf64ae31db2045fa","observation_id":"1a06052c-753a-4e45-85a7-aa12e4280136","resolution":{"observed_at":"2026-08-07T05:39:58.679668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18679","last_updated":"2024-10-15T15:52:57Z","snapshot_observed_at":"2026-08-09T08:28:03.571838Z","submitted_at":"2024-02-28T19:49:55Z","title":"Data Interpreter: An LLM Agent For Data Science","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18679","snapshot_observed_at":"2026-08-07T05:39:58.683444Z","title":"Data interpreter: An llm agent for data science","venue":null,"work_id":null,"year":2024},"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":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.683444Z"},"links":{"cited_paper":"/paper/2402.18679","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:3c9796f5a5afa0f72a30a5aa040d456ff01549674b78aba0413a6bee843d9f6a","observation_id":"9d65992f-d360-4921-9984-3a0a8d96ac69","resolution":{"observed_at":"2026-08-07T05:39:58.683444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16291","last_updated":"2023-10-19T16:27:03Z","snapshot_observed_at":"2026-08-07T08:29:46.650400Z","submitted_at":"2023-05-25T17:46:38Z","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16291","snapshot_observed_at":"2026-08-07T05:39:58.687521Z","title":"V oyager: An Open-Ended Embodied Agent with Large Language Models","venue":null,"work_id":null,"year":2023},"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":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.687521Z"},"links":{"cited_paper":"/paper/2305.16291","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:7a2271c535deab5b96eccfda5e4dcc661a8d13d2f4b215a23e0a12105290f052","observation_id":"9a0f990c-b997-4921-b74d-0eb3574820f3","resolution":{"observed_at":"2026-08-07T05:39:58.687521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.691769Z","title":"Driving with llms: Fusing object-level vector modality for explainable autonomous driving","venue":null,"work_id":null,"year":2024},"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":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.691769Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:1039cf08097ef5ec9cb28384df5ec5aea76a6b1042a674a6ce45d6727cd30f10","observation_id":"f127abf7-5447-4882-9630-93c04c169250","resolution":{"observed_at":"2026-08-07T05:39:58.691769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.270048Z","title":"Optimizing autonomous driving for safety: A human-centric approach with llm-enhanced rlhf","venue":null,"work_id":"a9bc6a8f-b877-477f-b26d-2d50f0f6e801","year":2024},"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":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.696202Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:7df40b7ec0cd5d4b42007627bf6b3553f2f5a729d180b2688064cbf8d7aa288e","observation_id":"bcdfbc9e-293c-4ebd-9a79-19af1590edce","resolution":{"observed_at":"2026-08-07T05:40:00.277371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.253028Z","title":"O’Brien, Carrie J","venue":null,"work_id":"b37daae7-c64c-4da2-91c3-c6c8ff1ae392","year":2023},"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":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.700231Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:9e10e3a158405c41181b2474bbbc55da8f7b796535200895fb1dca0a4dd0aa35","observation_id":"a8be53a4-0348-4e53-ab6a-66ce43c7a81a","resolution":{"observed_at":"2026-08-07T05:40:00.259158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2305.14325","last_updated":"2023-05-23T17:55:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-23T17:55:11Z","title":"Improving Factuality and Reasoning in Language Models through Multiagent Debate","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14325","snapshot_observed_at":"2026-08-07T05:39:58.704008Z","title":"Tenenbaum, and Igor Mordatch","venue":null,"work_id":null,"year":2023},"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":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.704008Z"},"links":{"cited_paper":"/paper/2305.14325","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:3bf8e86ac943b6ce001d0e7ec736e518bed73550a52181eea72e65fa08837f52","observation_id":"e7a09020-52a2-4831-88ac-7b5b7edf91ba","resolution":{"observed_at":"2026-08-07T05:39:58.704008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.235102Z","title":"Metagpt: Meta programming for multi-agent collaborative framework, August 01, 2023 2023","venue":null,"work_id":"c5ca1e71-2024-4edd-96f7-85e8e4d574b8","year":2023},"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":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.708051Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:b04d085acb43e57b92580f1e4f58bb191364244da32e858f5b73ca6940897703","observation_id":"ee3a5275-2c60-43b3-b6fd-a5c209745b15","resolution":{"observed_at":"2026-08-07T05:40:00.241264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.711778Z","title":"Society of mind","venue":null,"work_id":null,"year":1988},"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":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.711778Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:989fde4610405552387712d6f8251479364dc809b526dddc6719dd043e16dc5a","observation_id":"a7affd8c-fd04-4bd2-b9dd-cd4f1cc2ee9a","resolution":{"observed_at":"2026-08-07T05:39:58.711778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.208050Z","title":"Examining the society of mind","venue":null,"work_id":"c9fc533f-caa3-455f-b745-01d482ab17fa","year":2003},"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":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.715595Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:e6c966661b16b888331b9ab146f06213900de2a33bb96b6800e571f4c454e6d7","observation_id":"4ff57539-85b0-4e81-9437-a090cebafb28","resolution":{"observed_at":"2026-08-07T05:40:00.213894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.191789Z","title":"CAMEL: communicative agents for \"mind\" exploration of large language model society","venue":null,"work_id":"b69de00b-6468-41aa-8f74-068bb7317b3b","year":2023},"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":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.719334Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:c234eeecbc3552345f7318a8ee9d2150c9a105d1a67554cdef323dd0cae71f24","observation_id":"8bbb65e9-768a-40c0-9364-69c49929c89f","resolution":{"observed_at":"2026-08-07T05:40:00.197368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.175425Z","title":"Unleashing cognitive synergy in large language models: A task-solving agent through multi-persona self- collaboration, July 01, 2023 2023","venue":null,"work_id":"52325732-497b-4bb3-9bed-776cbdfc51e3","year":2023},"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":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.723008Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:641701c6e74d63c2394da8f816caa1885fcb005eadfd131909d813946a031079","observation_id":"b0804531-7419-4dc0-b3e5-edb03d87d961","resolution":{"observed_at":"2026-08-07T05:40:00.181587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2402.01680","last_updated":"2024-04-19T01:15:16Z","snapshot_observed_at":"2026-08-06T19:10:15.466826Z","submitted_at":"2024-01-21T23:36:14Z","title":"Large Language Model based Multi-Agents: A Survey of Progress and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01680","snapshot_observed_at":"2026-08-07T05:39:58.838435Z","title":"Chawla, Olaf Wiest, and Xiangliang Zhang","venue":null,"work_id":null,"year":2024},"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":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.838435Z"},"links":{"cited_paper":"/paper/2402.01680","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:bf70ca57994ced9311373a763db1b601403dc8831da141afdca5decedcfcea23","observation_id":"b8744e8a-1a6b-4ca1-8da8-476172bcac42","resolution":{"observed_at":"2026-08-07T05:39:58.838435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01108","last_updated":"2024-02-02T02:53:11Z","snapshot_observed_at":"2026-07-06T17:24:03.237617Z","submitted_at":"2024-02-02T02:53:11Z","title":"Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01108","snapshot_observed_at":"2026-08-07T05:39:58.842852Z","title":"Reasoning capacity in multi-agent systems: Limitations, challenges and human-centered solutions","venue":null,"work_id":null,"year":2024},"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":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.842852Z"},"links":{"cited_paper":"/paper/2402.01108","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:a517162261b839c538c66e73d8bc629dfae460df049377738ba28a2de215cacd","observation_id":"69f656d5-c4ca-47f4-87c0-30a21ea1ff6a","resolution":{"observed_at":"2026-08-07T05:39:58.842852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16698","last_updated":"2024-12-08T11:21:20Z","snapshot_observed_at":"2026-08-07T05:16:45.609783Z","submitted_at":"2024-04-25T15:59:16Z","title":"Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16698","snapshot_observed_at":"2026-08-07T05:39:58.847309Z","title":"Cooperate or collapse: Emergence of sustainability behaviors in a society of llm agents","venue":null,"work_id":null,"year":2024},"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":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.847309Z"},"links":{"cited_paper":"/paper/2404.16698","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:12baa354d5324aa244158f2b1ca49606f5a390bad4e39fc43d887a2480a53e6d","observation_id":"e79b6036-b473-4ae5-a218-097f2f240b2c","resolution":{"observed_at":"2026-08-07T05:39:58.847309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11846","last_updated":"2023-06-20T18:56:25Z","snapshot_observed_at":"2026-07-06T15:44:50.155585Z","submitted_at":"2023-06-20T18:56:25Z","title":"Discovering Causality for Efficient Cooperation in Multi-Agent Environments","version":1},"cited_work":{"arxiv_id":"2306.11846","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.11846","snapshot_observed_at":"2026-08-07T05:39:59.738057Z","title":"Discovering Causality for Efficient Cooperation in Multi-Agent Environments","venue":"cs.AI","work_id":"811e766a-04be-4fe8-829d-ff38ae2787a7","year":2023},"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":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.851468Z"},"links":{"cited_paper":"/paper/2306.11846","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:46b48e481d214219af1da1b666f8773d6d24d5c58d8394acaf3078401c89f089","observation_id":"216d2b62-d25b-4007-acee-e31db6c002d3","resolution":{"observed_at":"2026-08-07T05:39:59.744754Z","resolver_source":"local_arxiv","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":"2410.02506","last_updated":"2024-10-03T14:14:31Z","snapshot_observed_at":"2026-08-06T07:05:30.821556Z","submitted_at":"2024-10-03T14:14:31Z","title":"Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02506","snapshot_observed_at":"2026-08-07T05:39:58.855721Z","title":"Cut the crap: An economical communication pipeline for llm-based multi-agent systems","venue":null,"work_id":null,"year":null},"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":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.855721Z"},"links":{"cited_paper":"/paper/2410.02506","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:5499cb6902c49167de3320051dcb9d30c5629b3c4afaaa92be5945c7ac6f4531","observation_id":"fe1f6fb4-3288-4178-adc1-3d3081f0ef4e","resolution":{"observed_at":"2026-08-07T05:39:58.855721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11133","last_updated":"2025-02-16T14:00:59Z","snapshot_observed_at":"2026-08-07T18:14:45.344327Z","submitted_at":"2025-02-16T14:00:59Z","title":"MasRouter: Learning to Route LLMs for Multi-Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11133","snapshot_observed_at":"2026-08-07T05:39:58.860263Z","title":"Masrouter: Learning to route llms for multi-agent systems","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":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.860263Z"},"links":{"cited_paper":"/paper/2502.11133","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:3fcb115f44da72e757878241a5ddbe7ec7beee7efcbeca03195f4ec87a37d164","observation_id":"9b39dd11-e351-4362-8612-8e1e3f196224","resolution":{"observed_at":"2026-08-07T05:39:58.860263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.17512","last_updated":"2024-06-07T09:13:27Z","snapshot_observed_at":"2026-07-06T16:39:04.459332Z","submitted_at":"2023-10-26T16:06:20Z","title":"CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.17512","snapshot_observed_at":"2026-08-07T05:39:58.864350Z","title":"Competeai: Understanding the competition behaviors in large language model-based agents","venue":null,"work_id":null,"year":2023},"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":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.864350Z"},"links":{"cited_paper":"/paper/2310.17512","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:e2497d4dee51f5baf7f755dafbabf7a4d6f91b93dc2bd83c517cf02742909c7b","observation_id":"346c9688-748b-4125-8cab-34d789917376","resolution":{"observed_at":"2026-08-07T05:39:58.864350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19118","last_updated":"2024-10-09T02:41:21Z","snapshot_observed_at":"2026-08-01T16:20:31.337598Z","submitted_at":"2023-05-30T15:25:45Z","title":"Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19118","snapshot_observed_at":"2026-08-07T05:39:58.869133Z","title":"Encouraging divergent thinking in large language models through multi-agent debate","venue":null,"work_id":null,"year":2023},"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":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.869133Z"},"links":{"cited_paper":"/paper/2305.19118","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:0477f0ee824d6bbc7e4d221a9621c675d5e002b5d49fcf9b3fb65abed8251cec","observation_id":"a810abc9-86e2-4cb6-901c-126e1e80420e","resolution":{"observed_at":"2026-08-07T05:39:58.869133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.15971","last_updated":"2024-08-28T17:43:55Z","snapshot_observed_at":"2026-08-07T20:28:12.453353Z","submitted_at":"2024-08-28T17:43:55Z","title":"BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.15971","snapshot_observed_at":"2026-08-07T05:39:58.873471Z","title":"Battleagentbench: A benchmark for evaluating cooperation and competition capabilities of language models in multi-agent systems","venue":null,"work_id":null,"year":2024},"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":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.873471Z"},"links":{"cited_paper":"/paper/2408.15971","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:566890adcb8d7436bb54e1b67487d94596d674eb1e9a30df5d4a84d6d7b3fa68","observation_id":"bdc7057b-65d2-454b-a014-bacf7035e2d2","resolution":{"observed_at":"2026-08-07T05:39:58.873471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.156918Z","title":"Progressive-hint prompt- ing improves reasoning in large language models, April 01, 2023 2023","venue":null,"work_id":"84b073d1-ed66-4d90-a333-26a147c51298","year":2023},"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":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.877504Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:0134941eb1b5f6a5387b5e6d6ab40c348ee50723111ac75ed67153d826e83866","observation_id":"31acfa6d-f008-43a9-9eb9-d4697a2c820d","resolution":{"observed_at":"2026-08-07T05:40:00.164192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.881879Z","title":"Memorybank: Enhancing large language models with long-term memory","venue":null,"work_id":null,"year":2024},"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":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.881879Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:5d32bf4732c3337abb574b8ae55958234a231bdc3d08e3e8ebea393fc640e742","observation_id":"4896a375-6e49-4e15-95db-6f269718faeb","resolution":{"observed_at":"2026-08-07T05:39:58.881879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.885971Z","title":"Memgpt: Towards llms as operating systems","venue":null,"work_id":null,"year":2023},"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":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.885971Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:eb34e6fa3f83d0b32cc01b3c3cf9df2b557648aa0e84cd8aeac9c0711db42429","observation_id":"802f876f-ee31-4293-ba59-8fcf218746c1","resolution":{"observed_at":"2026-08-07T05:39:58.885971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11672","last_updated":"2025-04-17T15:10:52Z","snapshot_observed_at":"2026-08-06T21:05:03.913191Z","submitted_at":"2024-04-17T18:13:16Z","title":"MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11672","snapshot_observed_at":"2026-08-07T05:39:58.889952Z","title":"Mem- llm: Finetuning llms to use an explicit read-write memory","venue":null,"work_id":null,"year":2024},"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":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.889952Z"},"links":{"cited_paper":"/paper/2404.11672","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:47b611e600e084afd2e4acf1ce83d4d6dad267ad0cacbab4361a249e9e72fc43","observation_id":"83b09df3-cfe5-4698-b4f2-fa9f1bdf5dbf","resolution":{"observed_at":"2026-08-07T05:39:58.889952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13501","last_updated":"2024-04-21T01:49:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-21T01:49:46Z","title":"A Survey on the Memory Mechanism of Large Language Model based Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13501","snapshot_observed_at":"2026-08-07T05:39:58.894070Z","title":"A survey on the memory mechanism of large language model based agents","venue":null,"work_id":null,"year":2024},"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":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.894070Z"},"links":{"cited_paper":"/paper/2404.13501","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:a36196ea100950aa430bdd858e7adb741587dd727745716eb34f2b24f2da99d9","observation_id":"78d3297d-f275-432e-b317-16589c3e7df1","resolution":{"observed_at":"2026-08-07T05:39:58.894070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03901","last_updated":"2023-06-07T17:22:22Z","snapshot_observed_at":"2026-08-02T15:32:09.218233Z","submitted_at":"2023-06-06T17:58:24Z","title":"ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.03901","snapshot_observed_at":"2026-08-07T05:39:58.898211Z","title":"Chatdb: Augmenting llms with databases as their symbolic memory","venue":null,"work_id":null,"year":2023},"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":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.898211Z"},"links":{"cited_paper":"/paper/2306.03901","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:d2d093a7a76f8392d6d41507fd2908315d71a48d4d3383d62417a737481581fe","observation_id":"020c7647-1320-46ea-b598-f01e98e7a6e6","resolution":{"observed_at":"2026-08-07T05:39:58.898211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08239","last_updated":"2023-08-23T03:37:04Z","snapshot_observed_at":"2026-08-05T03:04:43.907838Z","submitted_at":"2023-08-16T09:15:18Z","title":"MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08239","snapshot_observed_at":"2026-08-07T05:39:58.902590Z","title":"Memochat: Tuning llms to use memos for consistent long-range open-domain conversation","venue":null,"work_id":null,"year":2023},"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":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.902590Z"},"links":{"cited_paper":"/paper/2308.08239","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:1afbf507538c101327cb3e7973d3edee55ffc347159075a7ae5face9941e4ec8","observation_id":"f9c68a6f-7096-4c22-8fe2-8303209f2437","resolution":{"observed_at":"2026-08-07T05:39:58.902590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.14296","last_updated":"2024-03-20T18:13:10Z","snapshot_observed_at":"2026-07-06T16:11:02.763364Z","submitted_at":"2023-08-28T04:31:04Z","title":"RecMind: Large Language Model Powered Agent For Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.14296","snapshot_observed_at":"2026-08-07T05:39:58.907047Z","title":"Recmind: Large language model powered agent for recommendation","venue":null,"work_id":null,"year":2023},"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":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.907047Z"},"links":{"cited_paper":"/paper/2308.14296","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:1c914694110ab34e955e04192cb3da4d9d2ae0aa273c37f474610b3ea9d56048","observation_id":"38766c32-238a-48da-8e7d-7b97b6ffdaa3","resolution":{"observed_at":"2026-08-07T05:39:58.907047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.911023Z","title":"Expel: Llm agents are experiential learners","venue":null,"work_id":null,"year":2024},"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":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.911023Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:5edb68f80851892bef5b222bae04b2d48cbe2345c8b1cc071a18fee23014ae3c","observation_id":"eb887c79-0b5d-47cb-9f7b-9b41e9406e86","resolution":{"observed_at":"2026-08-07T05:39:58.911023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06500","last_updated":"2025-08-15T14:18:48Z","snapshot_observed_at":"2026-08-09T10:43:02.569735Z","submitted_at":"2023-10-10T10:17:58Z","title":"MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06500","snapshot_observed_at":"2026-08-07T05:39:58.914902Z","title":"Metaagents: Simulating interactions of human behaviors for llm-based task-oriented coordination via collaborative generative agents","venue":null,"work_id":null,"year":2023},"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":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.914902Z"},"links":{"cited_paper":"/paper/2310.06500","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:7abaf836c15993b47cc8dceea5c592e0ce4835e493b92dea38a762cc36f6cc88","observation_id":"24aa4eb8-b726-4ec0-836a-6df3ef853006","resolution":{"observed_at":"2026-08-07T05:39:58.914902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.14984","last_updated":"2025-06-03T23:11:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-27T16:24:56Z","title":"S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.14984","snapshot_observed_at":"2026-08-07T05:39:58.918854Z","title":"S3: Social-network simulation system with large language model-empowered agents","venue":null,"work_id":null,"year":2023},"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":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.918854Z"},"links":{"cited_paper":"/paper/2307.14984","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:0f0159971394799e0e0c36373fd5a2e6d74aed5ff96b539b6ad127bb54e692bb","observation_id":"354b9198-cae6-4461-8fc9-8c1985010b63","resolution":{"observed_at":"2026-08-07T05:39:58.918854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.109504Z","title":"Communicative agents for software development, July 01, 2023 2023","venue":null,"work_id":"9d0656ab-c74a-4dbd-bd8d-9c924c6e66db","year":2023},"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":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.922992Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:ebf5c20c73535e3f0c3201d4f5fbe83f07cc71cd1aa0e3f92d2b202212180e8f","observation_id":"499bf38a-f370-4bfb-9c99-15421a351227","resolution":{"observed_at":"2026-08-07T05:40:00.116344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-07T19:31:15.812384Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-07T05:39:58.926732Z","title":"Scaling large-language-model-based multi-agent collab- oration","venue":null,"work_id":null,"year":2024},"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":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.926732Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:2cf4ce0d3a352434b807773aadddb50c6b3ca939e63017223ac8f7cc93c72c20","observation_id":"38a7c79d-27cb-40b8-ac05-01c48e7ba905","resolution":{"observed_at":"2026-08-07T05:39:58.926732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.930678Z","title":"Gptswarm: Language agents as optimizable graphs","venue":null,"work_id":null,"year":2024},"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":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.930678Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:dd66cef028380f49f978e758a01c962e6f06673b77aeddc28fe6e4c0aece1793","observation_id":"cd712a26-c271-47ea-8ce6-9b2cbb3b8d6a","resolution":{"observed_at":"2026-08-07T05:39:58.930678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08435","last_updated":"2025-03-02T05:13:28Z","snapshot_observed_at":"2026-08-06T11:45:45.286982Z","submitted_at":"2024-08-15T21:59:23Z","title":"Automated Design of Agentic Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08435","snapshot_observed_at":"2026-08-07T05:39:58.934580Z","title":"Automated design of agentic systems","venue":null,"work_id":null,"year":2024},"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":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.934580Z"},"links":{"cited_paper":"/paper/2408.08435","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:b76252f28616aefb0da638644def398f9daef98f1f6d12aa49481e9a0d9ba747","observation_id":"69307f66-9736-4bd3-ada2-7a43effa8280","resolution":{"observed_at":"2026-08-07T05:39:58.934580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10762","last_updated":"2025-04-15T02:44:55Z","snapshot_observed_at":"2026-07-06T19:33:12.610676Z","submitted_at":"2024-10-14T17:40:40Z","title":"AFlow: Automating Agentic Workflow Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10762","snapshot_observed_at":"2026-08-07T05:39:58.938714Z","title":"AFlow: Automating Agentic Workflow Generation, October 2024","venue":null,"work_id":null,"year":2024},"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":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.938714Z"},"links":{"cited_paper":"/paper/2410.10762","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:12930720a2aeff4e3e3d9c26aaa8d279c529f6c65b4bbca14a23e1dfa21276f7","observation_id":"33e5e13e-cddb-4d43-8d77-396a194f62c9","resolution":{"observed_at":"2026-08-07T05:39:58.938714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04180","last_updated":"2025-06-09T05:15:47Z","snapshot_observed_at":"2026-08-08T23:12:45.901049Z","submitted_at":"2025-02-06T16:12:06Z","title":"Multi-agent Architecture Search via Agentic Supernet","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04180","snapshot_observed_at":"2026-08-07T05:39:58.942765Z","title":"Multi-agent architecture search via agentic supernet","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":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.942765Z"},"links":{"cited_paper":"/paper/2502.04180","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:ff4107687c1a766becf691c7d1065d6a97b81bb84684b1db43fe29dc1af64594","observation_id":"f53256c8-c012-4996-85b1-e1fef77d0ca4","resolution":{"observed_at":"2026-08-07T05:39:58.942765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.083949Z","title":"Exchange-of-thought: Enhancing large language model capabilities through cross-model communication","venue":null,"work_id":"06a4d0fa-0a94-41e7-821a-4d16e9ce364b","year":2023},"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":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.946855Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:da564849d6bc007dd34ec93e65cb64f49ce075eea6b31b25ca72364c8f81cbec","observation_id":"07866d75-114f-480c-a8ef-cf12f5dc2704","resolution":{"observed_at":"2026-08-07T05:40:00.088818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.065977Z","title":"A survey on large language model based autonomous agents","venue":null,"work_id":"75f5674e-3b3b-43da-912c-3b09a6ada21e","year":2024},"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":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.950715Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:592f9d1a682dae1d4d9c548bb0bbdd4c84e3d687d08251a36074de8b1109975d","observation_id":"2ad8b8d5-ddc8-43f1-9d63-339012370dd5","resolution":{"observed_at":"2026-08-07T05:40:00.073549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2309.07864","last_updated":"2023-09-19T08:29:18Z","snapshot_observed_at":"2026-08-09T18:54:02.679174Z","submitted_at":"2023-09-14T17:12:03Z","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07864","snapshot_observed_at":"2026-08-07T05:39:58.954348Z","title":"The rise and potential of large language model based agents: A survey","venue":null,"work_id":null,"year":2023},"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":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.954348Z"},"links":{"cited_paper":"/paper/2309.07864","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:3fdbd8631e0c4930051ad4ef370244568912b2975b7ba7900d681644e98b5771","observation_id":"701c57ba-dbd0-4445-b4fd-632322c91309","resolution":{"observed_at":"2026-08-07T05:39:58.954348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11970","last_updated":"2023-12-19T09:06:45Z","snapshot_observed_at":"2026-07-06T17:05:10.877197Z","submitted_at":"2023-12-19T09:06:45Z","title":"Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11970","snapshot_observed_at":"2026-08-07T05:39:58.958867Z","title":"Large language models empowered agent-based modeling and simulation: A survey and perspectives","venue":null,"work_id":null,"year":2023},"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":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.958867Z"},"links":{"cited_paper":"/paper/2312.11970","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:799d6b8c38a7184ea8bdcd852405132bbc5acecf5f748f5427bf16d55bff9edb","observation_id":"449fc825-b292-4c0f-a931-20cce9c5671b","resolution":{"observed_at":"2026-08-07T05:39:58.958867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:58.962917Z","title":"A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges","venue":null,"work_id":null,"year":2024},"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":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.962917Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:d2502b275cab7551744f9067956e1619e382b817e293569d758707eb62600ad0","observation_id":"bb4c260e-e9cd-42f6-a3e6-cc64731c4411","resolution":{"observed_at":"2026-08-07T05:39:58.962917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07863","last_updated":"2024-01-19T06:59:26Z","snapshot_observed_at":"2026-07-06T15:42:06.758676Z","submitted_at":"2023-06-13T15:49:41Z","title":"Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07863","snapshot_observed_at":"2026-08-07T05:39:58.966727Z","title":"Synapse: Trajectory-as-exemplar prompting with memory for computer control","venue":null,"work_id":null,"year":2023},"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":57,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.966727Z"},"links":{"cited_paper":"/paper/2306.07863","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:76e1161989d4ddcadc4f0ad67a6e50e09e8cf821afcccf25204281b50a7ef0c9","observation_id":"e12d5e29-5740-4a4b-8a13-aaa2a984428b","resolution":{"observed_at":"2026-08-07T05:39:58.966727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17144","last_updated":"2023-06-01T09:18:01Z","snapshot_observed_at":"2026-07-06T15:34:05.442952Z","submitted_at":"2023-05-25T17:59:49Z","title":"Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17144","snapshot_observed_at":"2026-08-07T05:39:58.971250Z","title":"Ghost in the minecraft: Generally capable agents for open-world environments via large language models with text-based knowledge and memory","venue":null,"work_id":null,"year":2023},"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":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.971250Z"},"links":{"cited_paper":"/paper/2305.17144","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:5a1e156d279a4b630664b9d0bca0b8cb85e6a2bbce923cf8036b52fd7afd3982","observation_id":"ffd13a41-2ceb-42b3-afcf-b4f32066a60b","resolution":{"observed_at":"2026-08-07T05:39:58.971250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06590","last_updated":"2025-01-11T17:10:30Z","snapshot_observed_at":"2026-08-07T05:26:26.436708Z","submitted_at":"2025-01-11T17:10:30Z","title":"ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.06590","snapshot_observed_at":"2026-08-07T05:39:58.975053Z","title":"Chemagent: Self-updating library in large language models improves chemical reasoning","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":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.975053Z"},"links":{"cited_paper":"/paper/2501.06590","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:1334df5c490a417925cbb292e06693bc4f8ec22e9e8c15ea54d8a39bfb9a968d","observation_id":"87ef3da6-d157-4ae7-9f5f-f8b5f3384120","resolution":{"observed_at":"2026-08-07T05:39:58.975053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11366","last_updated":"2023-10-10T05:21:45Z","snapshot_observed_at":"2026-07-06T15:05:53.556198Z","submitted_at":"2023-03-20T18:08:50Z","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.11366","snapshot_observed_at":"2026-08-07T05:39:58.978858Z","title":"Reflexion: an autonomous agent with dynamic memory and self-reflection","venue":null,"work_id":null,"year":2023},"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":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.978858Z"},"links":{"cited_paper":"/paper/2303.11366","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:5f1b58f52bb32f0f06ecd404a379ba264a327eba17aad4ade4f405a8c00681db","observation_id":"1af7bebc-c1a9-44df-85fd-00556ff3edc1","resolution":{"observed_at":"2026-08-07T05:39:58.978858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12110","last_updated":"2025-10-08T01:46:37Z","snapshot_observed_at":"2026-08-03T02:27:06.991396Z","submitted_at":"2025-02-17T18:36:14Z","title":"A-MEM: Agentic Memory for LLM Agents","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12110","snapshot_observed_at":"2026-08-07T05:39:58.982830Z","title":"A-mem: Agentic memory 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":61,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.982830Z"},"links":{"cited_paper":"/paper/2502.12110","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:50f7b0d581c0fa51293f3d9f7a9bb87134995138abf1c61912f71e941f021737","observation_id":"f194888c-dd36-4ed1-9cb1-c77c93ea1dd9","resolution":{"observed_at":"2026-08-07T05:39:58.982830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19413","last_updated":"2025-04-28T01:46:35Z","snapshot_observed_at":"2026-08-02T07:32:11.339534Z","submitted_at":"2025-04-28T01:46:35Z","title":"Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.19413","snapshot_observed_at":"2026-08-07T05:39:58.986761Z","title":"Mem0: Building production-ready ai agents with scalable long-term memory","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":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.986761Z"},"links":{"cited_paper":"/paper/2504.19413","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:611dce55eea8e594c721d92cf7e17bee9f0eca3c76c3b6c4374011425bf05cef","observation_id":"19678f01-d2d4-4364-b948-2b30fafbef13","resolution":{"observed_at":"2026-08-07T05:39:58.986761Z","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":"2026-08-07T05:39:58.991000Z","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":"2406.04692","last_updated":"2024-06-07T07:04:10Z","snapshot_observed_at":"2026-08-07T21:51:22.136369Z","submitted_at":"2024-06-07T07:04:10Z","title":"Mixture-of-Agents Enhances Large Language Model Capabilities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04692","snapshot_observed_at":"2026-08-07T05:39:58.995255Z","title":"Mixture-of-agents enhances large language model capabilities","venue":null,"work_id":null,"year":2024},"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":64,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.995255Z"},"links":{"cited_paper":"/paper/2406.04692","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:a3b543f3e3ba05f1c63ee7247a1f184cb7f428ceaf07dd447db41097b3d82b95","observation_id":"ef3ee557-af53-4cbd-a91b-6868f4ddb9bb","resolution":{"observed_at":"2026-08-07T05:39:58.995255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18532","last_updated":"2024-06-26T17:59:18Z","snapshot_observed_at":"2026-08-09T13:24:33.280267Z","submitted_at":"2024-06-26T17:59:18Z","title":"Symbolic Learning Enables Self-Evolving Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18532","snapshot_observed_at":"2026-08-07T05:39:58.999437Z","title":"Symbolic learning enables self-evolving agents","venue":null,"work_id":null,"year":2024},"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":65,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.999437Z"},"links":{"cited_paper":"/paper/2406.18532","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:208b5fc9abc9324f533cf1822269ed4121e8999ffdcb8502ec66dfb1e67a8f12","observation_id":"316ddb9f-b80b-4011-a4f6-ebbfb3832251","resolution":{"observed_at":"2026-08-07T05:39:58.999437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00872","last_updated":"2025-04-20T16:01:12Z","snapshot_observed_at":"2026-08-05T16:11:26.145340Z","submitted_at":"2024-09-01T23:36:34Z","title":"Self-evolving Agents with reflective and memory-augmented abilities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00872","snapshot_observed_at":"2026-08-07T05:39:59.004317Z","title":"Self-evolving agents with reflective and memory-augmented abilities","venue":null,"work_id":null,"year":2024},"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":66,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.004317Z"},"links":{"cited_paper":"/paper/2409.00872","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:82b6d5cab5a26a564d2c7050cca90d7e44977ff12bf988eacf78dfdfb9088a69","observation_id":"ed53a6fc-dc2a-47cd-afc8-c4644f691906","resolution":{"observed_at":"2026-08-07T05:39:59.004317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:59.008491Z","title":"Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents, 2023","venue":null,"work_id":null,"year":2023},"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":67,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.008491Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:ff7cf0fe638cb9f14b7c35a4c760491aafe95fb59b597af6210c445144297cb8","observation_id":"f150ff5b-e19d-47a2-b5b4-47643157c1fc","resolution":{"observed_at":"2026-08-07T05:39:59.008491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16946","last_updated":"2024-10-22T12:20:23Z","snapshot_observed_at":"2026-07-06T19:37:47.763190Z","submitted_at":"2024-10-22T12:20:23Z","title":"Self-Evolving Multi-Agent Collaboration Networks for Software Development","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16946","snapshot_observed_at":"2026-08-07T05:39:59.012611Z","title":"Self-evolving multi-agent collaboration networks for software development","venue":null,"work_id":null,"year":2024},"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":68,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.012611Z"},"links":{"cited_paper":"/paper/2410.16946","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:be6a45ea35018dc8c1a2dc632354dd08ee57e9ac60baa078c45e2883d9759730","observation_id":"f1cb9542-c96e-4e8c-a3fb-252770785326","resolution":{"observed_at":"2026-08-07T05:39:59.012611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11782","last_updated":"2025-02-06T15:37:52Z","snapshot_observed_at":"2026-08-04T04:02:29.838505Z","submitted_at":"2024-10-15T17:01:21Z","title":"G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11782","snapshot_observed_at":"2026-08-07T05:39:59.016741Z","title":"G-designer: Architecting multi-agent communication topologies via graph neural networks","venue":null,"work_id":null,"year":null},"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":69,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.016741Z"},"links":{"cited_paper":"/paper/2410.11782","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:af9593ddb54c59ab42c0373fae30ba4564cec171ca1fe9661642e69a8e64d0e2","observation_id":"9679fa33-cd61-4063-8840-e6eeaf2d3121","resolution":{"observed_at":"2026-08-07T05:39:59.016741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14228","last_updated":"2025-03-10T02:42:01Z","snapshot_observed_at":"2026-08-03T14:04:24.986841Z","submitted_at":"2024-06-20T11:49:23Z","title":"EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14228","snapshot_observed_at":"2026-08-07T05:39:59.021122Z","title":"Evoa- gent: Towards automatic multi-agent generation via evolutionary algorithms","venue":null,"work_id":null,"year":2024},"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":70,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.021122Z"},"links":{"cited_paper":"/paper/2406.14228","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:2bd56e62c72fd1db0b2d57ea60221c5c2b3471518ebb760a9aee0e0230bb19cf","observation_id":"927d7ec9-199d-4f77-b98b-52c487d39ec9","resolution":{"observed_at":"2026-08-07T05:39:59.021122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07373","last_updated":"2025-02-11T08:48:46Z","snapshot_observed_at":"2026-08-09T17:20:46.627176Z","submitted_at":"2025-02-11T08:48:46Z","title":"EvoFlow: Evolving Diverse Agentic Workflows On The Fly","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07373","snapshot_observed_at":"2026-08-07T05:39:59.025362Z","title":"Evoflow: Evolving diverse agentic workflows on the fly","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":71,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.025362Z"},"links":{"cited_paper":"/paper/2502.07373","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:64fed0cd2671a3177628aaac9c8f8a3384c6bc3a0dc4a4a06cc8fab2d409fdd4","observation_id":"2fef8d02-9e12-49ba-82bd-30524733a1e7","resolution":{"observed_at":"2026-08-07T05:39:59.025362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02170","last_updated":"2024-11-15T04:30:04Z","snapshot_observed_at":"2026-08-07T04:49:42.215176Z","submitted_at":"2023-10-03T16:05:48Z","title":"A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02170","snapshot_observed_at":"2026-08-07T05:39:59.029815Z","title":"Dynamic llm-agent network: An llm-agent collaboration framework with agent team optimization","venue":null,"work_id":null,"year":2023},"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":72,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.029815Z"},"links":{"cited_paper":"/paper/2310.02170","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:a56540e0a5d7f28f3a94c94081c813675980b1588dc2a677c99b9c8b875d5d83","observation_id":"08852b3d-e66b-4715-978b-70e250b80806","resolution":{"observed_at":"2026-08-07T05:39:59.029815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.028023Z","title":"Microsoft academic graph: When experts are not enough","venue":null,"work_id":"349f6461-3906-45f1-8f21-59f01255b7de","year":2020},"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":73,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.033945Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:9dd534378eb4f262c976bf88513feed173b09ea1aac86fca1f9cce62cdc108ce","observation_id":"3720074a-46b4-4076-bb56-e4ec069c8855","resolution":{"observed_at":"2026-08-07T05:40:00.034324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2502.04780","last_updated":"2025-02-07T09:33:44Z","snapshot_observed_at":"2026-08-08T21:27:40.607346Z","submitted_at":"2025-02-07T09:33:44Z","title":"SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04780","snapshot_observed_at":"2026-08-07T05:39:59.038110Z","title":"Sirius: Self-improving multi- agent systems via bootstrapped reasoning","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":74,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.038110Z"},"links":{"cited_paper":"/paper/2502.04780","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:4ec4e5af2c1ab1ccdca6e72bbb55a9677db3aa4db6bafcd10a0258973de4f8c3","observation_id":"9b50dc30-9ec5-45f7-9c97-b5dfe9d12f7f","resolution":{"observed_at":"2026-08-07T05:39:59.038110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02390","last_updated":"2025-05-30T11:40:44Z","snapshot_observed_at":"2026-08-09T17:43:04.773161Z","submitted_at":"2025-03-04T08:28:04Z","title":"ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02390","snapshot_observed_at":"2026-08-07T05:39:59.042322Z","title":"Reso: A reward-driven self- organizing llm-based multi-agent system for reasoning tasks","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":75,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.042322Z"},"links":{"cited_paper":"/paper/2503.02390","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:f09706ee6d74e4cc40849249bd690d6cff43fa50aefd53b94f6e3c972b2e3b1d","observation_id":"ac7fa204-6c4d-44fd-9845-4ee1836164c9","resolution":{"observed_at":"2026-08-07T05:39:59.042322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.09600","last_updated":"2018-09-25T17:28:20Z","snapshot_observed_at":"2026-08-09T10:11:58.541007Z","submitted_at":"2018-09-25T17:28:20Z","title":"HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.09600","snapshot_observed_at":"2026-08-07T05:39:59.046616Z","title":"Hotpotqa: A dataset for diverse, explainable multi-hop question answering","venue":null,"work_id":null,"year":2018},"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":76,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.046616Z"},"links":{"cited_paper":"/paper/1809.09600","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:af8022a2848c19d13b885fe2d8ca064850112566f4a1c0ed853e3c899af0ad6e","observation_id":"ddafdd91-2de7-4964-835c-84cb7f3e7164","resolution":{"observed_at":"2026-08-07T05:39:59.046616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05355","last_updated":"2018-12-18T10:58:20Z","snapshot_observed_at":"2026-07-06T06:28:16.475418Z","submitted_at":"2018-03-14T15:30:37Z","title":"FEVER: a large-scale dataset for Fact Extraction and VERification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05355","snapshot_observed_at":"2026-08-07T05:39:59.051028Z","title":"Fever: a large-scale dataset for fact extraction and verification","venue":null,"work_id":null,"year":2018},"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":77,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.051028Z"},"links":{"cited_paper":"/paper/1803.05355","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:0da4a98a70c40aa0c770cc9b012c3688f820a30cf9ea644be3831629d03d1df1","observation_id":"2f3b2b71-f6ee-47b2-98fd-0a7d69ffeb9a","resolution":{"observed_at":"2026-08-07T05:39:59.051028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.03768","last_updated":"2021-03-14T22:44:38Z","snapshot_observed_at":"2026-08-08T17:40:47.037804Z","submitted_at":"2020-10-08T05:13:36Z","title":"ALFWorld: Aligning Text and Embodied Environments for Interactive Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.03768","snapshot_observed_at":"2026-08-07T05:39:59.055236Z","title":"Alfworld: Aligning text and embodied environments for interactive learning","venue":null,"work_id":null,"year":2010},"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":78,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.055236Z"},"links":{"cited_paper":"/paper/2010.03768","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:ba7b27efe865ef95b8f94a83d0dda042c8c967b0f91818c3a787d11df77e83be","observation_id":"07036198-6cbc-4ce3-9c88-f30afde58704","resolution":{"observed_at":"2026-08-07T05:39:59.055236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.07540","last_updated":"2022-11-14T17:52:27Z","snapshot_observed_at":"2026-08-06T07:25:42.562786Z","submitted_at":"2022-03-14T22:52:34Z","title":"ScienceWorld: Is your Agent Smarter than a 5th Grader?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.07540","snapshot_observed_at":"2026-08-07T05:39:59.059614Z","title":"Scienceworld: Is your agent smarter than a 5th grader? arXiv preprint arXiv:2203.07540, 2022","venue":null,"work_id":null,"year":2022},"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":79,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.059614Z"},"links":{"cited_paper":"/paper/2203.07540","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:59ae5e51045517306f9efeeb31006ca993f6e237b48dc7e3f2aa2a179ed3add3","observation_id":"1535d93b-6154-4f0b-ac4e-53945d6c978d","resolution":{"observed_at":"2026-08-07T05:39:59.059614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13178","last_updated":"2024-12-23T20:12:48Z","snapshot_observed_at":"2026-07-06T17:19:44.130417Z","submitted_at":"2024-01-24T01:51:00Z","title":"AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13178","snapshot_observed_at":"2026-08-07T05:39:59.063879Z","title":"Agentboard: An analytical evaluation board of multi-turn llm agents","venue":null,"work_id":null,"year":2024},"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":80,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.063879Z"},"links":{"cited_paper":"/paper/2401.13178","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:0d38ca7a3fc0dace71d3d8f239803fea60e675d50cfa27eed37dd420b04fa9c2","observation_id":"581b98ec-4edd-4610-96ee-2b871f2fa734","resolution":{"observed_at":"2026-08-07T05:39:59.063879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:40:00.009912Z","title":"You are a smart agent designed to solve problems","venue":null,"work_id":"3bd15481-dce6-4424-a32c-a90e6bcb109e","year":2020},"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":81,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.068177Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:1e0cb1b1deb40cd443e36553c4bdfb1ef38373f761779680bb52493770b825d2","observation_id":"d70ae7ca-be63-4ab9-a9ac-976c142380d0","resolution":{"observed_at":"2026-08-07T05:40:00.015491Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:59.995013Z","title":"\"\" l e a r n _ l e s s o n s _ u s e r _ p r o m p t _ c o m p a r e =","venue":null,"work_id":"f4dacb4d-4071-4726-a1e4-3266fbc3a4e4","year":1920},"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":82,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.073801Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:e3b2071f3fde13b2d09a938db2fc9b8f323890606ca6d96f265d15596786618b","observation_id":"14a20d63-e1da-42aa-a12a-51c80c185a21","resolution":{"observed_at":"2026-08-07T05:39:59.999228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:59.980747Z","title":"\"\" l e a r n _ l e s s o n s _ u s e r _ p r o m p t _ a l l _ s u c c =","venue":null,"work_id":"908db208-ee38-4287-a785-7d7943f68fb7","year":1920},"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":83,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.078525Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:e93d4f62db4d37f7b8cb030bfae2e58701d35bdcdc48fad360f670486176c92e","observation_id":"65477d67-08d5-4f34-bd40-e11470a30112","resolution":{"observed_at":"2026-08-07T05:39:59.984948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:59.967033Z","title":"\"\" m e r g e _ r u l e s _ u s e r _ p r o m p t =","venue":null,"work_id":"32033b16-9298-484a-969e-f3cc2dc8e88c","year":null},"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":84,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.082522Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:edb8fda5feea9d65cbd5385dd6b9472835f3102e460335a2c67438dd83cac936","observation_id":"bf4d44fe-00f0-471a-bd6e-121c44857839","resolution":{"observed_at":"2026-08-07T05:39:59.971019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:39:59.953000Z","title":"\"\" p r o j e c t _ i n s i g h t s _ u s e r _ p r o m p t : str =","venue":null,"work_id":"29fb8217-f4b5-4891-beff-65901c67f9a2","year":null},"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":85,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:59.086756Z"},"links":{"citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:d860a082ca649e319fa1bf55ae1bb6510148b8cbc72f2f198f0c86c041a8c7c6","observation_id":"cfb27b63-5db3-4053-87ce-146afe23b199","resolution":{"observed_at":"2026-08-07T05:39:59.957860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2506.07398","last_updated":"2025-06-16T08:45:10Z","latest_version":2,"primary_category":"cs.MA","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"},"reference_resolution":{"displayed":85,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":67,"verified_exact":1,"verified_fuzzy":16},"total_outbound_references":85},"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 85 of 85 outbound references and 49 inbound Pith citation observations for arXiv:2506.07398."}