{"as_of":"2026-08-08T02:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17027a6d401849c04e0c20aa208d4328f1c938c6cd692762052427501bcac174","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:31:06.688801Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2505.14933/citation-record","integrity":"/paper/2505.14933/integrity","json":"/paper/2505.14933/citation-record.json","paper":"/paper/2505.14933"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.17080","last_updated":"2023-09-29T09:20:37Z","snapshot_observed_at":"2026-07-06T16:25:21.571679Z","submitted_at":"2023-09-29T09:20:37Z","title":"GAIA-1: A Generative World Model for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17080","snapshot_observed_at":"2026-08-07T15:31:06.636961Z","title":"InProceed- ings of IEEE winter conference on applications of computer vision, 1020–1029","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.636961Z"},"links":{"cited_paper":"/paper/2309.17080","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:ec179bbc1c7ee5b08026befbb0f8f1d8eddb2e1070c946f3f4a59fba91dc45f1","observation_id":"218f0ef9-6eb9-4791-9ade-7908054a5106","resolution":{"observed_at":"2026-08-07T15:31:06.636961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05561","last_updated":"2022-11-10T13:31:13Z","snapshot_observed_at":"2026-07-06T14:16:44.567536Z","submitted_at":"2022-11-10T13:31:13Z","title":"Estimating Soft Labels for Out-of-Domain Intent Detection","version":1},"cited_work":{"arxiv_id":"2211.05561","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.05561","snapshot_observed_at":"2026-08-07T15:31:06.827247Z","title":"Estimating Soft Labels for Out-of-Domain Intent Detection","venue":"cs.CL","work_id":"0f5a4e7e-a4f8-4019-b080-f8c57897f87c","year":2022},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.648326Z"},"links":{"cited_paper":"/paper/2211.05561","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:50d2ef97dbc0f7f948612d91c7cafc1232a1604e59f92bf82d47887c4b0ae479","observation_id":"bcfbc493-b742-41ad-90b1-dfd1a5fe9924","resolution":{"observed_at":"2026-08-07T15:31:06.832064Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:31:06.886273Z","title":"InProceedings of IEEE international conference on robotics and automation, 1–7","venue":null,"work_id":"0e697eba-125b-4dda-ad85-76a1dd876458","year":null},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.658626Z"},"links":{"citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:d6c46ad7b41d89462d9b6be4f269f2312391a8d60542d22e4ced05be0967993f","observation_id":"f8ac968b-74b0-4e65-aebe-c34dff3bb320","resolution":{"observed_at":"2026-08-07T15:31:06.891364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.16492","last_updated":"2023-10-25T09:19:45Z","snapshot_observed_at":"2026-07-06T16:38:17.729495Z","submitted_at":"2023-10-25T09:19:45Z","title":"On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection","version":1},"cited_work":{"arxiv_id":"2310.16492","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.16492","snapshot_observed_at":"2026-08-07T15:31:06.768418Z","title":"On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection","venue":"cs.CV","work_id":"cf52d82c-2ace-4d40-8ccd-2b59653c9e52","year":2023},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.673588Z"},"links":{"cited_paper":"/paper/2310.16492","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:5090869b47743da78719c3bd9334e8f6e56d8ed7239fa6513b922bf2eefb728c","observation_id":"16e28839-2356-4ee1-a135-0f181c19a3da","resolution":{"observed_at":"2026-08-07T15:31:06.775415Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09022","last_updated":"2021-06-16T20:43:56Z","snapshot_observed_at":"2026-08-06T04:13:23.160399Z","submitted_at":"2021-06-16T20:43:56Z","title":"A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09022","snapshot_observed_at":"2026-08-07T15:31:06.678963Z","title":"Reddy, Siva, Danqi Chen, and Christopher D Manning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.678963Z"},"links":{"cited_paper":"/paper/2106.09022","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:3651f47740d37318a9c3edecedd44812f2e6a903a7d8043e018d28789d6b4681","observation_id":"6c9fdb22-f4e6-4e56-845d-e6a67d212451","resolution":{"observed_at":"2026-08-07T15:31:06.678963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1504.06755","last_updated":"2015-05-20T18:51:23Z","snapshot_observed_at":"2026-07-06T04:16:03.127842Z","submitted_at":"2015-04-25T19:26:47Z","title":"TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1504.06755","snapshot_observed_at":"2026-08-07T15:31:06.683876Z","title":"InProceedings of the international conference on machine learning, 23631– 23644","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.683876Z"},"links":{"cited_paper":"/paper/1504.06755","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:3548e77584303817428650d088a6e9a8dc04902a65a0167c974ea2f2e88f2800","observation_id":"e6488cf2-2353-44fb-aa98-f10320d1ef34","resolution":{"observed_at":"2026-08-07T15:31:06.683876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01405","last_updated":"2025-03-03T06:14:14Z","snapshot_observed_at":"2026-07-06T16:26:38.284922Z","submitted_at":"2023-10-02T17:59:07Z","title":"Representation Engineering: A Top-Down Approach to AI Transparency","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01405","snapshot_observed_at":"2026-08-07T15:31:06.688801Z","title":"InProceedings of international conference on learning representa- tions","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.688801Z"},"links":{"cited_paper":"/paper/2310.01405","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:941d7698f4ce427dcd208ec5b88412531302946448fce7cb411f16b2620ecd0b","observation_id":"a5267a5b-30da-4ac4-bb1d-93e30a5af37f","resolution":{"observed_at":"2026-08-07T15:31:06.688801Z","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":"2026-08-07T15:31:06.935042Z","title":null,"venue":null,"work_id":"509686a5-98f5-44b0-a7aa-b7435f74d5c8","year":null},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.621189Z"},"links":{"citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:d4683f56cc71b48d5def0140e4d3ab052bf6df3d7c73c13670f30ad36a7a7f89","observation_id":"1eb0a9d8-282f-4e37-bd96-9573748eecaf","resolution":{"observed_at":"2026-08-07T15:31:06.939568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-07T15:31:06.632004Z","title":"Dhamija, Akshay Raj, Manuel Günther, Jonathan Ventura, and Terrance E","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.632004Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:abf75e110127334ceffe2696fdbffbd69feaaefd59018b288a982a8146f7be53","observation_id":"80d12e08-9fe3-410d-aa1d-906475f94529","resolution":{"observed_at":"2026-08-07T15:31:06.632004Z","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":"2026-08-07T15:31:06.901202Z","title":"InProceedings of international conference on robotics and automation, 2348–2354","venue":null,"work_id":"a7709f45-00e4-4a14-be4b-99bc5a26dc83","year":null},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.653453Z"},"links":{"citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:43e0727759e36413408bd6ca54de17a6b08283d03a935b3a047330346ec315c7","observation_id":"6e2ce734-e39b-4b60-ac8e-f02b2f0c926c","resolution":{"observed_at":"2026-08-07T15:31:06.906805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.07703","last_updated":"2018-10-01T09:19:58Z","snapshot_observed_at":"2026-07-06T06:57:02.261875Z","submitted_at":"2018-08-23T11:28:34Z","title":"Discriminative out-of-distribution detection for semantic segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.07703","snapshot_observed_at":"2026-08-07T15:31:06.626465Z","title":"Bendale, Abhijit, and Terrance E Boult","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.626465Z"},"links":{"cited_paper":"/paper/1808.07703","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:29f94e981d91a1af0f4f24df54da216e80eebb5b31a5be25ffbc561f7143136c","observation_id":"bc742ac4-6349-4e69-9347-78ef6b96bc3e","resolution":{"observed_at":"2026-08-07T15:31:06.626465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T15:31:06.669188Z","title":"InPro- ceedings of IEEE international intelligent transportation systems conference, 2938–2943","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.669188Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:dafdbd75990afa3d658535594af14d9bea32ec8ec18a22f417230bd8097a41e0","observation_id":"74e6724e-9a58-4414-aba4-6cb4687bb1e7","resolution":{"observed_at":"2026-08-07T15:31:06.669188Z","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":"2026-08-07T15:31:06.917138Z","title":"InProceedings of the international conference on machine learning, 10848–10865","venue":null,"work_id":"0e7f65fd-6875-498c-970e-cc22c7287a20","year":2015},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.642618Z"},"links":{"citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:23ec82b8c2dc6394fb85036944ef9c710f270d9ed4c797add4bad6621b92635a","observation_id":"ddf4e7fa-5617-49f3-8aaf-f91c7f9b445b","resolution":{"observed_at":"2026-08-07T15:31:06.923253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12386","last_updated":"2023-07-24T18:42:08Z","snapshot_observed_at":"2026-08-03T04:30:34.562730Z","submitted_at":"2023-01-29T07:45:17Z","title":"Plugin estimators for selective classification with out-of-distribution detection","version":4},"cited_work":{"arxiv_id":"2301.12386","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.12386","snapshot_observed_at":"2026-08-07T15:31:06.806281Z","title":"Plugin estimators for selective classification with out-of-distribution detection","venue":"cs.LG","work_id":"d4b96296-e9c3-4b12-b3dc-b2635c8b19c1","year":2023},"citing_paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:06.663686Z"},"links":{"cited_paper":"/paper/2301.12386","citing_paper":"/paper/2505.14933"},"observation_digest":"sha256:cd3ed1ce4ec41334ed1126b9d7d9319a86fe395f5fb7f4a71b72908423f0a77c","observation_id":"e25f1545-5373-4352-ab9b-1f9d2473a386","resolution":{"observed_at":"2026-08-07T15:31:06.810949Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.14933","last_updated":"2025-05-20T21:39:08Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T15:24:56.969310Z","submitted_at":"2025-05-20T21:39:08Z","title":"Foundations of Unknown-aware Machine Learning"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":14},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2505.14933."}