{"as_of":"2026-08-15T15:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8143b4062f53349527c13115b7e7389e2d810ec500994ec3a50939e5bae8b4ca","coverage":[{"denominator":4,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T10:46:07.487294Z","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":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.23768/citation-record","integrity":"/paper/2507.23768/integrity","json":"/paper/2507.23768/citation-record.json","paper":"/paper/2507.23768"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.17321","last_updated":"2024-06-05T04:04:29Z","snapshot_observed_at":"2026-08-13T00:45:07.010500Z","submitted_at":"2024-03-26T02:05:46Z","title":"A Bayesian shrinkage estimator for transfer learning","version":2},"cited_work":{"arxiv_id":"2403.17321","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.17321","snapshot_observed_at":"2026-08-06T10:46:07.686629Z","title":"A Bayesian shrinkage estimator for transfer learning","venue":"stat.ME","work_id":"444333f2-e2e7-4643-a9c3-9cd515028775","year":2024},"citing_paper":{"arxiv_id":"2507.23768","last_updated":"2025-07-31T17:55:16Z","snapshot_observed_at":"2026-08-13T14:23:25.464567Z","submitted_at":"2025-07-31T17:55:16Z","title":"Formal Bayesian Transfer Learning via the Total Risk Prior","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T10:46:07.477664Z"},"links":{"cited_paper":"/paper/2403.17321","citing_paper":"/paper/2507.23768"},"observation_digest":"sha256:e0ba60eb97c2da47c58bbbf6d5a1619bd27bcf9ad24e398fffbc9495771bc3dc","observation_id":"d00e78d4-d571-40b8-b23f-fff43a5e4446","resolution":{"observed_at":"2026-08-06T10:46:07.691052Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:46:07.487294Z","title":"& Shen, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23768","last_updated":"2025-07-31T17:55:16Z","snapshot_observed_at":"2026-08-13T14:23:25.464567Z","submitted_at":"2025-07-31T17:55:16Z","title":"Formal Bayesian Transfer Learning via the Total Risk Prior","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T10:46:07.487294Z"},"links":{"citing_paper":"/paper/2507.23768"},"observation_digest":"sha256:c0d55962b9828aeb30d9f4f4c69af4e870303cbb1cf117e8f684c26ef68b5593","observation_id":"c26a835b-8e90-437b-a834-821483133e6c","resolution":{"observed_at":"2026-08-06T10:46:07.487294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T10:46:07.695911Z","title":"& Feng, Y","venue":null,"work_id":"f3f8ab54-8ada-46a6-abf3-b1f9433e4504","year":2023},"citing_paper":{"arxiv_id":"2507.23768","last_updated":"2025-07-31T17:55:16Z","snapshot_observed_at":"2026-08-13T14:23:25.464567Z","submitted_at":"2025-07-31T17:55:16Z","title":"Formal Bayesian Transfer Learning via the Total Risk Prior","version":1},"reference_index":2607,"source":"pdf_text","source_observed_at":"2026-08-06T10:46:07.484754Z"},"links":{"citing_paper":"/paper/2507.23768"},"observation_digest":"sha256:1de4543b918ca26ee8fee3efb32e32ac95c4e8151734f9b6220d6f8cbe9408b4","observation_id":"694a4d8e-b5f6-4b7f-8948-d0263f6c2968","resolution":{"observed_at":"2026-08-06T10:46:07.698026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.01011","last_updated":"2021-01-04T14:44:36Z","snapshot_observed_at":"2026-08-11T10:37:05.442286Z","submitted_at":"2021-01-04T14:44:36Z","title":"Rao-Blackwellization in the MCMC era","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.01011","snapshot_observed_at":"2026-08-06T10:46:07.481639Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.23768","last_updated":"2025-07-31T17:55:16Z","snapshot_observed_at":"2026-08-13T14:23:25.464567Z","submitted_at":"2025-07-31T17:55:16Z","title":"Formal Bayesian Transfer Learning via the Total Risk Prior","version":1},"reference_index":2970,"source":"pdf_text","source_observed_at":"2026-08-06T10:46:07.481639Z"},"links":{"cited_paper":"/paper/2101.01011","citing_paper":"/paper/2507.23768"},"observation_digest":"sha256:77b74891196f0333ae212c73d48284d1c8d44b77681cc41593ccff10a11add9f","observation_id":"36bea723-ccef-4bb6-98cc-450a19efc5b9","resolution":{"observed_at":"2026-08-06T10:46:07.481639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.23768","last_updated":"2025-07-31T17:55:16Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-13T14:23:25.464567Z","submitted_at":"2025-07-31T17:55:16Z","title":"Formal Bayesian Transfer Learning via the Total Risk Prior"},"reference_resolution":{"displayed":4,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":4},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2507.23768."}