{"as_of":"2026-08-09T12:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8bcd3704f2dbb47d167c3839aed5aecebec0e8653e9a97e7f376f319c8cc8994","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:15:38.871832Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T06:52:28.464580Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.02899","last_updated":"2019-08-08T01:41:16Z","snapshot_observed_at":"2026-08-09T06:00:35.852331Z","submitted_at":"2019-08-08T01:41:16Z","title":"Do Neural Language Representations Learn Physical Commonsense?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.02899","snapshot_observed_at":"2026-08-07T13:15:38.871832Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.22305","last_updated":"2025-05-28T12:41:08Z","snapshot_observed_at":"2026-08-09T06:00:55.248849Z","submitted_at":"2025-05-28T12:41:08Z","title":"IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:15:38.871832Z"},"links":{"cited_paper":"/paper/1908.02899","citing_paper":"/paper/2505.22305"},"observation_digest":"sha256:5c5914df690ca6565421b5a733084896fdb2b12105a09cc14c75c6d550c74e6d","observation_id":"1eff1a81-c6b9-4ac1-b8ee-b3f35d9d453c","resolution":{"observed_at":"2026-08-07T13:15:38.871832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.02899","last_updated":"2019-08-08T01:41:16Z","snapshot_observed_at":"2026-08-09T06:00:35.852331Z","submitted_at":"2019-08-08T01:41:16Z","title":"Do Neural Language Representations Learn Physical Commonsense?","version":1},"cited_work":{"arxiv_id":"1908.02899","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.02899","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Do neural language representations learn physical commonsense?arXiv preprint arXiv:1908.02899","venue":null,"work_id":"fa09e16d-ee4b-492e-bc8c-ed32b1b590ff","year":1908},"citing_paper":{"arxiv_id":"2602.07794","last_updated":"2026-04-20T10:02:25Z","snapshot_observed_at":"2026-07-06T22:45:00.816348Z","submitted_at":"2026-02-08T03:14:39Z","title":"Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T06:50:49.096618Z"},"links":{"cited_paper":"/paper/1908.02899","citing_paper":"/paper/2602.07794"},"observation_digest":"sha256:e6f3f3b338f06a043ca59a37343aaea9994d9deee8adf0ad22f5c7ff50b9899c","observation_id":"063b9e39-0ea3-4628-baf5-5b29a3d22ea1","resolution":{"observed_at":"2026-05-16T06:52:28.467075Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1908.02899/citation-record","integrity":"/paper/1908.02899/integrity","json":"/paper/1908.02899/citation-record.json","paper":"/paper/1908.02899"},"outbound":[],"paper":{"arxiv_id":"1908.02899","last_updated":"2019-08-08T01:41:16Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T06:00:35.852331Z","submitted_at":"2019-08-08T01:41:16Z","title":"Do Neural Language Representations Learn Physical Commonsense?"},"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 2 inbound Pith citation observations for arXiv:1908.02899."}