{"as_of":"2026-08-09T07:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9af90644270673cf3bee55479bdccfab07eb9c5afadadc25cee416455980b989","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:46.775632Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":9,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-07T12:35:46.775632Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24239","last_updated":"2025-05-30T05:57:37Z","snapshot_observed_at":"2026-08-07T12:26:10.020845Z","submitted_at":"2025-05-30T05:57:37Z","title":"An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:46.775632Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2505.24239"},"observation_digest":"sha256:dd34e7e12739865de6b684547c5ec859cee07d5d8ee1ad5c36a57a1e797dbe28","observation_id":"4fc47200-cfef-4929-ba23-df47d66ec0f5","resolution":{"observed_at":"2026-08-07T12:35:46.775632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-06T22:14:07.643498Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22210","last_updated":"2025-06-27T13:29:25Z","snapshot_observed_at":"2026-08-06T22:06:43.575600Z","submitted_at":"2025-06-27T13:29:25Z","title":"UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:14:07.643498Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2506.22210"},"observation_digest":"sha256:6bb2a948eb6abc3b253f3a3c900265196e161c16f483bed7f16fd8da9254f409","observation_id":"56532f5e-1b7d-4bd4-973e-05e7c5a81ac8","resolution":{"observed_at":"2026-08-06T22:14:07.643498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-06T01:01:09.648334Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04025","last_updated":"2025-08-06T02:38:02Z","snapshot_observed_at":"2026-08-09T01:41:25.985422Z","submitted_at":"2025-08-06T02:38:02Z","title":"Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T01:01:09.648334Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2508.04025"},"observation_digest":"sha256:d4d80a2446f15bc74b0c3be9d46a03e64e8da824928fe360ee192bdbf0ffdf21","observation_id":"c4d2aa5b-c9b7-4795-8e17-f9bb07bcbeab","resolution":{"observed_at":"2026-08-06T01:01:09.648334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":"2406.02818","doi":"10.48550/arxiv.2406.02818","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chain of","venue":"arXiv (Cornell University)","work_id":"b229b2d0-a685-499a-a684-488a202f140b","year":2024},"citing_paper":{"arxiv_id":"2511.01008","last_updated":"2026-05-10T03:37:31Z","snapshot_observed_at":"2026-07-06T22:34:43.577332Z","submitted_at":"2025-11-02T16:55:30Z","title":"MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T01:31:40.920567Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2511.01008"},"observation_digest":"sha256:e920cdc609bc88256407381a8d3e1c52f79e1b124e68a6537564c536b38a62ec","observation_id":"e8bafb35-acab-453f-b684-ca337a7c983c","resolution":{"observed_at":"2026-05-18T01:32:17.379971Z","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":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":"2406.02818","doi":"10.48550/arxiv.2406.02818","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chain of","venue":"arXiv (Cornell University)","work_id":"b229b2d0-a685-499a-a684-488a202f140b","year":2024},"citing_paper":{"arxiv_id":"2603.24858","last_updated":"2026-05-20T18:44:49Z","snapshot_observed_at":"2026-07-06T22:50:32.832499Z","submitted_at":"2026-03-25T22:57:05Z","title":"Context-Mediated Domain Adaptation in Multi-Agent Sensemaking Systems","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-22T10:07:57.235514Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2603.24858"},"observation_digest":"sha256:c772086acb54600c9175e07c37c0d57d6a354bb7d6927f348786543d01cb673f","observation_id":"555dc5e8-03f8-4709-bf87-df5ff3b28bc0","resolution":{"observed_at":"2026-05-22T10:11:22.543541Z","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":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":"2406.02818","doi":"10.48550/arxiv.2406.02818","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chain of","venue":"arXiv (Cornell University)","work_id":"b229b2d0-a685-499a-a684-488a202f140b","year":2024},"citing_paper":{"arxiv_id":"2605.17613","last_updated":"2026-05-17T19:18:39Z","snapshot_observed_at":"2026-07-06T23:28:36.134614Z","submitted_at":"2026-05-17T19:18:39Z","title":"VeriCache: Turning Lossy KV Cache into Lossless LLM Inference","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-19T22:09:15.782104Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2605.17613"},"observation_digest":"sha256:6212939bd95024eeb90f28f24740120e5a7570fde107ba6e3cee89e3208a75f9","observation_id":"c4d7f62a-70bb-4fef-9b5a-b28aa4f04d49","resolution":{"observed_at":"2026-05-19T22:12:51.188615Z","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":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":"2406.02818","doi":"10.48550/arxiv.2406.02818","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chain of","venue":"arXiv (Cornell University)","work_id":"b229b2d0-a685-499a-a684-488a202f140b","year":2024},"citing_paper":{"arxiv_id":"2606.02812","last_updated":"2026-06-01T19:30:07Z","snapshot_observed_at":"2026-07-06T23:43:07.940839Z","submitted_at":"2026-06-01T19:30:07Z","title":"Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-06-28T14:20:06.381334Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2606.02812"},"observation_digest":"sha256:a66113ec4cdc33ba3c872df8f9c1e234e20f88d98285baecb622d08fa8a6d197","observation_id":"c90fcbc1-33f7-4417-94b6-de0e5586d5d3","resolution":{"observed_at":"2026-06-28T14:22:17.942275Z","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":"2406.02818","last_updated":"2024-06-04T23:36:08Z","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02818","snapshot_observed_at":"2026-08-01T17:35:10.456433Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17598","last_updated":"2026-07-20T06:35:32Z","snapshot_observed_at":"2026-08-08T01:33:42.648392Z","submitted_at":"2026-07-20T06:35:32Z","title":"Is Progressive Disclosure All You Need for Long-Context Agents?","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-01T17:35:10.456433Z"},"links":{"cited_paper":"/paper/2406.02818","citing_paper":"/paper/2607.17598"},"observation_digest":"sha256:4a239ec4282b44f60f536245ea56f75bc0df4cb2eab433f3ea0d2e9af205c219","observation_id":"1a44ffb1-f1e0-4fe9-a00d-fc08a7614080","resolution":{"observed_at":"2026-08-01T17:35:10.456433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.02818/citation-record","integrity":"/paper/2406.02818/integrity","json":"/paper/2406.02818/citation-record.json","paper":"/paper/2406.02818"},"outbound":[],"paper":{"arxiv_id":"2406.02818","last_updated":"2024-06-04T23:36:08Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:25:35.827334Z","submitted_at":"2024-06-04T23:36:08Z","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.02818."}