{"as_of":"2026-08-07T10:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:93e62a204cd06bb3217c60bf47d998129b2b1c8d74f95cf52eb66bb23c0b4b15","coverage":[{"denominator":1,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T04:51:44.043188Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T20:45:47.253697Z","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":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows","version":3},"cited_work":{"arxiv_id":"2508.02866","doi":"10.48550/arxiv.2508.02866","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.02866","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Prov-agent: Unified provenance for tracking ai agent interactions in agentic workflows","venue":"arXiv (Cornell University)","work_id":"7f3150dc-3d8f-4dd3-990b-680c5568b8d9","year":2025},"citing_paper":{"arxiv_id":"2603.09002","last_updated":"2026-04-26T14:13:48Z","snapshot_observed_at":"2026-07-06T22:48:26.306802Z","submitted_at":"2026-03-09T22:46:27Z","title":"Security Considerations for Multi-agent Systems","version":2},"reference_index":291,"source":"pdf_text","source_observed_at":"2026-05-15T14:12:14.160789Z"},"links":{"cited_paper":"/paper/2508.02866","citing_paper":"/paper/2603.09002"},"observation_digest":"sha256:15ce4f44b071d3d597e476e068e5a00bc028576a3c94aa6fb22aa872ec00c8fd","observation_id":"8cdab798-51e5-475f-a656-c7cf0c56b600","resolution":{"observed_at":"2026-05-15T14:15:55.765283Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows","version":3},"cited_work":{"arxiv_id":"2508.02866","doi":"10.48550/arxiv.2508.02866","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.02866","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Prov-agent: Unified provenance for tracking ai agent interactions in agentic workflows","venue":"arXiv (Cornell University)","work_id":"7f3150dc-3d8f-4dd3-990b-680c5568b8d9","year":2025},"citing_paper":{"arxiv_id":"2605.09283","last_updated":"2026-05-10T03:16:33Z","snapshot_observed_at":"2026-07-06T23:21:26.017420Z","submitted_at":"2026-05-10T03:16:33Z","title":"A Prompt-Aware Structuring Framework for Reliable Reuse of AI-Generated Content in the Agentic Web","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-12T04:42:03.607535Z"},"links":{"cited_paper":"/paper/2508.02866","citing_paper":"/paper/2605.09283"},"observation_digest":"sha256:0131f89fcb484a308a6369337d54dfbed44f4b53e1b6a3e666fed22563de5168","observation_id":"482259bb-d48b-40ff-9bc1-c6737669977a","resolution":{"observed_at":"2026-05-12T05:16:23.587750Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows","version":3},"cited_work":{"arxiv_id":"2508.02866","doi":"10.48550/arxiv.2508.02866","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.02866","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Prov-agent: Unified provenance for tracking ai agent interactions in agentic workflows","venue":"arXiv (Cornell University)","work_id":"7f3150dc-3d8f-4dd3-990b-680c5568b8d9","year":2025},"citing_paper":{"arxiv_id":"2605.25376","last_updated":"2026-05-28T17:04:16Z","snapshot_observed_at":"2026-08-02T23:35:26.533958Z","submitted_at":"2026-05-25T02:59:54Z","title":"KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-06-29T22:09:13.189376Z"},"links":{"cited_paper":"/paper/2508.02866","citing_paper":"/paper/2605.25376"},"observation_digest":"sha256:39a158726e5efa0e4f0638bc4d9a5478a6c680ede31c662c71251244f5c12549","observation_id":"d00d4433-8635-4561-aa70-dcea0b81c279","resolution":{"observed_at":"2026-06-29T22:14:00.038054Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.02866","snapshot_observed_at":"2026-07-12T06:04:31.383714Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02925","last_updated":"2026-07-03T03:33:32Z","snapshot_observed_at":"2026-07-12T06:04:29.897110Z","submitted_at":"2026-07-03T03:33:32Z","title":"Agentic Orchestration of HPC Applications in Cloud","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T06:04:31.383714Z"},"links":{"cited_paper":"/paper/2508.02866","citing_paper":"/paper/2607.02925"},"observation_digest":"sha256:427a030fcf0fcc86ba5925a09f660dab2686194775a49efcfa9dde7a05a0d761","observation_id":"bb4fccc5-f48f-4e42-944d-3461f249aec6","resolution":{"observed_at":"2026-07-12T06:04:31.383714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.02866","snapshot_observed_at":"2026-07-31T23:06:25.079983Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24117","last_updated":"2026-07-27T07:57:31Z","snapshot_observed_at":"2026-08-05T23:43:00.638878Z","submitted_at":"2026-07-27T07:57:31Z","title":"Grading the Narrators: An Isnad-Rijal Framework for Claim-Level Provenance in Multi-Agent Knowledge Systems","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-31T23:06:25.079983Z"},"links":{"cited_paper":"/paper/2508.02866","citing_paper":"/paper/2607.24117"},"observation_digest":"sha256:e733b6a1e3fe8bf492a6925a7b2062cf56e5acbdcb7a7b889b1daafe2c852940","observation_id":"d300b09f-3612-4090-b6f7-f5fceee50fe1","resolution":{"observed_at":"2026-07-31T23:06:25.079983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.02866","snapshot_observed_at":"2026-08-05T20:45:47.253697Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03339","last_updated":"2026-08-04T08:49:23Z","snapshot_observed_at":"2026-08-07T10:16:15.333354Z","submitted_at":"2026-08-04T08:49:23Z","title":"Traceable Multi-Agent System for Knowledge-Based Forecasting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T20:45:47.253697Z"},"links":{"cited_paper":"/paper/2508.02866","citing_paper":"/paper/2608.03339"},"observation_digest":"sha256:291e11af06dba1b70c000f7bed3494ab37fe8131601439f05faf86ac5d0c6f9e","observation_id":"f495b57f-dc42-4d2e-ab74-611b3acc85ed","resolution":{"observed_at":"2026-08-05T20:45:47.253697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.02866/citation-record","integrity":"/paper/2508.02866/integrity","json":"/paper/2508.02866/citation-record.json","paper":"/paper/2508.02866"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.02864","last_updated":"2025-08-04T19:50:48Z","snapshot_observed_at":"2026-08-06T04:53:45.339548Z","submitted_at":"2025-08-04T19:50:48Z","title":"Semantic Network Analysis of Achievement Standards in Physics of 2022 Revised Curriculum","version":1},"cited_work":{"arxiv_id":"2508.02864","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.02864","snapshot_observed_at":"2026-08-06T04:51:44.162434Z","title":"Semantic Network Analysis of Achievement Standards in Physics of 2022 Revised Curriculum","venue":"physics.ed-ph","work_id":"a41cd54d-dce2-4ca6-8620-f327bc1bfd94","year":2025},"citing_paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T04:51:44.043188Z"},"links":{"cited_paper":"/paper/2508.02864","citing_paper":"/paper/2508.02866"},"observation_digest":"sha256:445fca93ef7f7a2cc71c7dc1c95b3c825e82aa65f21818679b6c324b11663d78","observation_id":"973c06da-f1f7-4f5b-9078-23ad1b823916","resolution":{"observed_at":"2026-08-06T04:51:44.229603Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.02866","last_updated":"2025-08-20T15:00:50Z","latest_version":3,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-07T08:31:49.967042Z","submitted_at":"2025-08-04T19:54:40Z","title":"PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows"},"reference_resolution":{"displayed":1,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":1},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 6 inbound Pith citation observations for arXiv:2508.02866."}