{"as_of":"2026-08-17T20:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ab177c787d2d6a493c58c4a2d43f84ec135ae2ed59207beff24ff878eba3c0a","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":"2026-08-17T06:30:58.91139+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":"2026-08-10T21:31:06.198709Z","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":"2026-08-07T14:45:14.946895Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.08572","last_updated":"2023-01-09T07:10:27Z","snapshot_observed_at":"2026-08-17T07:00:07.600397Z","submitted_at":"2022-10-16T16:05:50Z","title":"Automatic Differentiation of Programs with Discrete Randomness","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.08572","snapshot_observed_at":"2026-08-10T21:31:06.198709Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.04639","last_updated":"2025-01-08T17:38:31Z","snapshot_observed_at":"2026-08-13T04:51:41.984159Z","submitted_at":"2025-01-08T17:38:31Z","title":"Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T21:31:06.198709Z"},"links":{"cited_paper":"/paper/2210.08572","citing_paper":"/paper/2501.04639"},"observation_digest":"sha256:f5d6ef82987f8e23e2b6e70f9bd3fc7350a1f62e81b3a0191d544bf442ecab16","observation_id":"eb713aa5-e775-462e-83d4-f92c6c57a547","resolution":{"observed_at":"2026-08-10T21:31:06.198709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.08572","last_updated":"2023-01-09T07:10:27Z","snapshot_observed_at":"2026-08-17T07:00:07.600397Z","submitted_at":"2022-10-16T16:05:50Z","title":"Automatic Differentiation of Programs with Discrete Randomness","version":3},"cited_work":{"arxiv_id":"2210.08572","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.08572","snapshot_observed_at":"2026-08-07T14:45:14.946895Z","title":"Automatic Differentiation of Programs with Discrete Randomness","venue":"cs.LG","work_id":"7e140ae3-282b-4eb3-b097-476de3f1a681","year":2022},"citing_paper":{"arxiv_id":"2505.17962","last_updated":"2025-05-23T14:33:20Z","snapshot_observed_at":"2026-08-15T23:40:08.327463Z","submitted_at":"2025-05-23T14:33:20Z","title":"A Principled Bayesian Framework for Training Binary and Spiking Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:13.498759Z"},"links":{"cited_paper":"/paper/2210.08572","citing_paper":"/paper/2505.17962"},"observation_digest":"sha256:9dc4dc0aaab6a50c1d64ee1b49dd2a239b2acfec7cb29df55f757ce8eb9303af","observation_id":"045f699c-68f5-4f81-9b29-b8f028e9334e","resolution":{"observed_at":"2026-08-07T14:45:15.023890Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.08572/citation-record","integrity":"/paper/2210.08572/integrity","json":"/paper/2210.08572/citation-record.json","paper":"/paper/2210.08572"},"outbound":[],"paper":{"arxiv_id":"2210.08572","last_updated":"2023-01-09T07:10:27Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T07:00:07.600397Z","submitted_at":"2022-10-16T16:05:50Z","title":"Automatic Differentiation of Programs with Discrete Randomness"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.08572."}