{"as_of":"2026-08-09T22:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8496202dd4255b2e454b4a05c595b9e9438eff0576a0d7a76cbc3d6d6c2bc654","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T17:19:58.547505Z","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":"2026-07-01T07:35:29.073611Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.15417","last_updated":"2022-10-25T18:17:46Z","snapshot_observed_at":"2026-07-06T14:11:11.927571Z","submitted_at":"2022-10-25T18:17:46Z","title":"Dynamic Survival Transformers for Causal Inference with Electronic Health Records","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.15417","snapshot_observed_at":"2026-08-08T17:19:58.547505Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.05950","last_updated":"2025-02-09T16:41:04Z","snapshot_observed_at":"2026-08-08T17:13:57.017018Z","submitted_at":"2025-02-09T16:41:04Z","title":"Survival Concept-Based Learning Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T17:19:58.547505Z"},"links":{"cited_paper":"/paper/2210.15417","citing_paper":"/paper/2502.05950"},"observation_digest":"sha256:fd7ef3a2e16636b359b941079916d24def6bf9cb7b447607e7946d690743e92f","observation_id":"057d8cb6-38d3-4ece-8bd1-053cb3374ce4","resolution":{"observed_at":"2026-08-08T17:19:58.547505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.15417","last_updated":"2022-10-25T18:17:46Z","snapshot_observed_at":"2026-07-06T14:11:11.927571Z","submitted_at":"2022-10-25T18:17:46Z","title":"Dynamic Survival Transformers for Causal Inference with Electronic Health Records","version":1},"cited_work":{"arxiv_id":"2210.15417","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.15417","snapshot_observed_at":"2026-07-01T07:35:29.073611Z","title":"arXiv preprint arXiv:2210.15417 , year=","venue":null,"work_id":"8a52e50c-c2c3-4a96-9470-c791354d9b4c","year":null},"citing_paper":{"arxiv_id":"2605.01134","last_updated":"2026-07-30T00:17:47Z","snapshot_observed_at":"2026-08-05T07:16:25.115127Z","submitted_at":"2026-05-01T22:25:29Z","title":"To Use AI as Dice of Possibilities with Timing Computation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-09T19:00:48.374406Z"},"links":{"cited_paper":"/paper/2210.15417","citing_paper":"/paper/2605.01134"},"observation_digest":"sha256:9dac5779720cc7c9eba04baf3f9baf012b8ad167695d9542f4229153d3722949","observation_id":"0b598d7d-65d5-43df-9f77-704c33b0cc6b","resolution":{"observed_at":"2026-05-11T15:56:34.196707Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2210.15417","last_updated":"2022-10-25T18:17:46Z","snapshot_observed_at":"2026-07-06T14:11:11.927571Z","submitted_at":"2022-10-25T18:17:46Z","title":"Dynamic Survival Transformers for Causal Inference with Electronic Health Records","version":1},"cited_work":{"arxiv_id":"2210.15417","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.15417","snapshot_observed_at":"2026-07-01T07:35:29.073611Z","title":"arXiv preprint arXiv:2210.15417 , year=","venue":null,"work_id":"8a52e50c-c2c3-4a96-9470-c791354d9b4c","year":null},"citing_paper":{"arxiv_id":"2605.01134","last_updated":"2026-07-30T00:17:47Z","snapshot_observed_at":"2026-08-05T07:16:25.115127Z","submitted_at":"2026-05-01T22:25:29Z","title":"To Use AI as Dice of Possibilities with Timing Computation","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-01T07:28:08.158588Z"},"links":{"cited_paper":"/paper/2210.15417","citing_paper":"/paper/2605.01134"},"observation_digest":"sha256:73788ca188fc01422d2491b18df7eda9d0d098095fb5c97aee82e1cc4945d8e3","observation_id":"fa9592cb-9e58-4a25-9b59-be7001af75ff","resolution":{"observed_at":"2026-07-01T07:35:29.075188Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2210.15417","last_updated":"2022-10-25T18:17:46Z","snapshot_observed_at":"2026-07-06T14:11:11.927571Z","submitted_at":"2022-10-25T18:17:46Z","title":"Dynamic Survival Transformers for Causal Inference with Electronic Health Records","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.15417","snapshot_observed_at":"2026-08-02T15:04:15.178390Z","title":"Dynamic survival transformers for causal inference with electronic health records.arXiv preprint arXiv:2210.15417,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.01134","last_updated":"2026-07-30T00:17:47Z","snapshot_observed_at":"2026-08-05T07:16:25.115127Z","submitted_at":"2026-05-01T22:25:29Z","title":"To Use AI as Dice of Possibilities with Timing Computation","version":7},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-02T15:04:15.178390Z"},"links":{"cited_paper":"/paper/2210.15417","citing_paper":"/paper/2605.01134"},"observation_digest":"sha256:1252d1701640182944b1b0e89533e71fa2293f3fbf04260ef2052c7052452e8f","observation_id":"ec33b0c1-ee1d-45ba-af16-abc69320a462","resolution":{"observed_at":"2026-08-02T15:04:15.178390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.15417/citation-record","integrity":"/paper/2210.15417/integrity","json":"/paper/2210.15417/citation-record.json","paper":"/paper/2210.15417"},"outbound":[],"paper":{"arxiv_id":"2210.15417","last_updated":"2022-10-25T18:17:46Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T14:11:11.927571Z","submitted_at":"2022-10-25T18:17:46Z","title":"Dynamic Survival Transformers for Causal Inference with Electronic Health Records"},"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 4 inbound Pith citation observations for arXiv:2210.15417."}