{"as_of":"2026-08-11T16:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1daa34ca66ec3c09398ea8ea4084d4e80cc3fe1c8e98d4e0cdc4d4878240764f","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T05:47:07.465585Z","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":"2026-07-04T17:40:01.035531Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.07609","last_updated":"2022-06-15T15:39:52Z","snapshot_observed_at":"2026-08-10T08:12:01.779348Z","submitted_at":"2022-06-15T15:39:52Z","title":"Epistemic Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07609","snapshot_observed_at":"2026-08-10T05:47:07.465585Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.16912","last_updated":"2025-02-14T20:47:09Z","snapshot_observed_at":"2026-08-10T08:13:08.861469Z","submitted_at":"2025-01-28T12:59:29Z","title":"A Unified Evaluation Framework for Epistemic Predictions","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T05:47:07.465585Z"},"links":{"cited_paper":"/paper/2206.07609","citing_paper":"/paper/2501.16912"},"observation_digest":"sha256:b7ed94becbfbf701d896c4dd429f67564cc49f3af34a4036467fbd2423112a8d","observation_id":"a1c32374-a635-4bd7-85f7-c789ce2f2ebd","resolution":{"observed_at":"2026-08-10T05:47:07.465585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07609","last_updated":"2022-06-15T15:39:52Z","snapshot_observed_at":"2026-08-10T08:12:01.779348Z","submitted_at":"2022-06-15T15:39:52Z","title":"Epistemic Deep Learning","version":1},"cited_work":{"arxiv_id":"2206.07609","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07609","snapshot_observed_at":"2026-07-04T17:40:01.035531Z","title":"arxiv:2206.07609 , year =","venue":null,"work_id":"12647540-5bc6-476f-9a04-55fa5ac2ccc2","year":2022},"citing_paper":{"arxiv_id":"2605.11987","last_updated":"2026-05-12T11:38:13Z","snapshot_observed_at":"2026-08-05T13:41:49.119613Z","submitted_at":"2026-05-12T11:38:13Z","title":"Random-Set Graph Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T05:15:55.175024Z"},"links":{"cited_paper":"/paper/2206.07609","citing_paper":"/paper/2605.11987"},"observation_digest":"sha256:5eff453a5f23e046d443f8fa6273fc89f273b3dab4393f51ebc38131bdd5baff","observation_id":"a6605083-6a12-4ac6-9e41-71333ebdbb38","resolution":{"observed_at":"2026-05-13T05:17:18.139981Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07609","last_updated":"2022-06-15T15:39:52Z","snapshot_observed_at":"2026-08-10T08:12:01.779348Z","submitted_at":"2022-06-15T15:39:52Z","title":"Epistemic Deep Learning","version":1},"cited_work":{"arxiv_id":"2206.07609","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07609","snapshot_observed_at":"2026-07-04T17:40:01.035531Z","title":"arxiv:2206.07609 , year =","venue":null,"work_id":"12647540-5bc6-476f-9a04-55fa5ac2ccc2","year":2022},"citing_paper":{"arxiv_id":"2605.18871","last_updated":"2026-05-15T17:08:27Z","snapshot_observed_at":"2026-08-02T08:12:48.724545Z","submitted_at":"2026-05-15T17:08:27Z","title":"Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-20T20:45:45.158828Z"},"links":{"cited_paper":"/paper/2206.07609","citing_paper":"/paper/2605.18871"},"observation_digest":"sha256:793c3208f456e4c25f80881608e729d404408a5b2409bd86de56f0ee6ad7295b","observation_id":"e3b2d22e-bddf-4cbf-9166-b7ce5cccaa57","resolution":{"observed_at":"2026-05-20T20:49:00.886923Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07609","last_updated":"2022-06-15T15:39:52Z","snapshot_observed_at":"2026-08-10T08:12:01.779348Z","submitted_at":"2022-06-15T15:39:52Z","title":"Epistemic Deep Learning","version":1},"cited_work":{"arxiv_id":"2206.07609","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07609","snapshot_observed_at":"2026-07-04T17:40:01.035531Z","title":"arxiv:2206.07609 , year =","venue":null,"work_id":"12647540-5bc6-476f-9a04-55fa5ac2ccc2","year":2022},"citing_paper":{"arxiv_id":"2606.25182","last_updated":"2026-06-23T21:14:53Z","snapshot_observed_at":"2026-08-07T16:08:45.007560Z","submitted_at":"2026-06-23T21:14:53Z","title":"What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-25T23:28:39.739645Z"},"links":{"cited_paper":"/paper/2206.07609","citing_paper":"/paper/2606.25182"},"observation_digest":"sha256:0485b6354510f69fab14aef185140b735e88c02f3edcd72023cfade64eecc869","observation_id":"f3cd2fcf-79df-4245-a03d-e27246385f04","resolution":{"observed_at":"2026-07-04T17:40:01.036921Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2206.07609/citation-record","integrity":"/paper/2206.07609/integrity","json":"/paper/2206.07609/citation-record.json","paper":"/paper/2206.07609"},"outbound":[],"paper":{"arxiv_id":"2206.07609","last_updated":"2022-06-15T15:39:52Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T08:12:01.779348Z","submitted_at":"2022-06-15T15:39:52Z","title":"Epistemic Deep Learning"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.07609."}