{"as_of":"2026-08-10T14:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:132ea73cb97cf7213492bf2a4ad5107d7290e2fb98f25f181fa3383bd9d1e91d","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T17:58:35.490470Z","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":"2026-08-09T17:58:37.525584Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04028","last_updated":"2024-06-06T12:57:31Z","snapshot_observed_at":"2026-07-06T18:26:28.988101Z","submitted_at":"2024-06-06T12:57:31Z","title":"Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents","version":1},"cited_work":{"arxiv_id":"2406.04028","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04028","snapshot_observed_at":"2026-08-09T17:58:37.525584Z","title":"Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents","venue":"cs.AI","work_id":"c0879a54-93df-4d5b-a44d-1d83125a0396","year":2024},"citing_paper":{"arxiv_id":"2502.00726","last_updated":"2025-02-02T09:15:27Z","snapshot_observed_at":"2026-08-09T22:10:55.662622Z","submitted_at":"2025-02-02T09:15:27Z","title":"Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-09T17:58:35.490470Z"},"links":{"cited_paper":"/paper/2406.04028","citing_paper":"/paper/2502.00726"},"observation_digest":"sha256:021b16bf5df80a9d57e6d7f91560c5f02d02e6d9dd514c2b43ba642d97c50993","observation_id":"7527b643-3007-44fb-be48-df792df011a4","resolution":{"observed_at":"2026-08-09T17:58:37.623407Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04028/citation-record","integrity":"/paper/2406.04028/integrity","json":"/paper/2406.04028/citation-record.json","paper":"/paper/2406.04028"},"outbound":[],"paper":{"arxiv_id":"2406.04028","last_updated":"2024-06-06T12:57:31Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T18:26:28.988101Z","submitted_at":"2024-06-06T12:57:31Z","title":"Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.04028."}