{"as_of":"2026-08-23T23:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:32adfaa3d8f4ce59699b098aea84e383fb54e9fd2e6e593698371fd48478c9f4","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T06:49:31.114465Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.16645","last_updated":"2025-06-18T03:54:24Z","snapshot_observed_at":"2026-08-18T18:50:19.728263Z","submitted_at":"2025-02-23T16:46:18Z","title":"CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16645","snapshot_observed_at":"2026-08-04T06:49:31.114465Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.21022","last_updated":"2026-08-03T08:05:13Z","snapshot_observed_at":"2026-08-14T11:22:31.303567Z","submitted_at":"2025-11-26T03:36:34Z","title":"Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T06:49:31.114465Z"},"links":{"cited_paper":"/paper/2502.16645","citing_paper":"/paper/2511.21022"},"observation_digest":"sha256:3bb56f0441904f55b8d8e5111cb10a2d44c2ea48172f6b17e84211b253692cb3","observation_id":"eb8ed237-9f9b-4f11-ba46-1db861d8d4bf","resolution":{"observed_at":"2026-08-04T06:49:31.114465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16645","last_updated":"2025-06-18T03:54:24Z","snapshot_observed_at":"2026-08-18T18:50:19.728263Z","submitted_at":"2025-02-23T16:46:18Z","title":"CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale","version":2},"cited_work":{"arxiv_id":"2502.16645","doi":"10.48550/arxiv.2502.16645","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16645","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Codesync: Synchronizing large language models with dynamic code evolution at scale","venue":"ArXiv.org","work_id":"c7d4dabd-c55a-43ff-a7cf-9e7cd5022557","year":2025},"citing_paper":{"arxiv_id":"2604.24222","last_updated":"2026-07-08T05:45:02Z","snapshot_observed_at":"2026-08-02T09:53:19.154769Z","submitted_at":"2026-04-27T09:27:59Z","title":"Learning from Execution: Self-Evolving Memory for Private-Library Code Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-08T03:40:05.380630Z"},"links":{"cited_paper":"/paper/2502.16645","citing_paper":"/paper/2604.24222"},"observation_digest":"sha256:24c7b744d2a7bd6a0221f9dfa5fbb6ccbbbe92eb1ee25e9ea31a88639fe0323f","observation_id":"c413393d-1861-42b8-a3a2-d73c3e4b78b3","resolution":{"observed_at":"2026-05-11T21:56:37.477093Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16645","last_updated":"2025-06-18T03:54:24Z","snapshot_observed_at":"2026-08-18T18:50:19.728263Z","submitted_at":"2025-02-23T16:46:18Z","title":"CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16645","snapshot_observed_at":"2026-07-12T18:16:50.322933Z","title":"Codesync: Synchronizing large language models with dynamic code evolution at scale,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.24222","last_updated":"2026-07-08T05:45:02Z","snapshot_observed_at":"2026-08-02T09:53:19.154769Z","submitted_at":"2026-04-27T09:27:59Z","title":"Learning from Execution: Self-Evolving Memory for Private-Library Code Generation","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T18:16:50.322933Z"},"links":{"cited_paper":"/paper/2502.16645","citing_paper":"/paper/2604.24222"},"observation_digest":"sha256:72380d4490467be707c9c3ce17d88a464d3dd1acf14e5664f6ee94f3d12b75e7","observation_id":"7ed07971-6c15-43e4-92bb-fc91550d1d10","resolution":{"observed_at":"2026-07-12T18:16:50.322933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16645","last_updated":"2025-06-18T03:54:24Z","snapshot_observed_at":"2026-08-18T18:50:19.728263Z","submitted_at":"2025-02-23T16:46:18Z","title":"CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale","version":2},"cited_work":{"arxiv_id":"2502.16645","doi":"10.48550/arxiv.2502.16645","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16645","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Codesync: Synchronizing large language models with dynamic code evolution at scale","venue":"ArXiv.org","work_id":"c7d4dabd-c55a-43ff-a7cf-9e7cd5022557","year":2025},"citing_paper":{"arxiv_id":"2606.25402","last_updated":"2026-06-24T04:58:28Z","snapshot_observed_at":"2026-08-12T13:37:26.890556Z","submitted_at":"2026-06-24T04:58:28Z","title":"LibEvoBench: Probing Temporal Knowledge Stratification in Code Generation Models","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-06-25T20:38:40.331343Z"},"links":{"cited_paper":"/paper/2502.16645","citing_paper":"/paper/2606.25402"},"observation_digest":"sha256:e0caf89800c13d9bf8a516fde4e43fe8c4e5d9602ae59f5e041c06a82a27ddaa","observation_id":"9e03cf0c-e6c5-47e3-9836-ca36aa74a31e","resolution":{"observed_at":"2026-06-25T21:18:24.630456Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.16645/citation-record","integrity":"/paper/2502.16645/integrity","json":"/paper/2502.16645/citation-record.json","paper":"/paper/2502.16645"},"outbound":[],"paper":{"arxiv_id":"2502.16645","last_updated":"2025-06-18T03:54:24Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T18:50:19.728263Z","submitted_at":"2025-02-23T16:46:18Z","title":"CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.16645."}