{"as_of":"2026-08-21T17:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a91eae333364122217111422f9100730756a4eba170fb8d73af392e67d888e5b","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":"2026-08-10T17:10:14.852526Z","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":"2026-08-21T06:32:19.484+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/2501.12522/citation-record","integrity":"/paper/2501.12522/integrity","json":"/paper/2501.12522/citation-record.json","paper":"/paper/2501.12522"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:10:15.202147Z","title":"Abdelsalam, R","venue":null,"work_id":"84d19206-38fa-4fce-a772-90b746f579f5","year":2018},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.787585Z"},"links":{"citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:5e993013537299fbee19f598586a20bbcf1c2f38ef8899fdd55fd01c284c1b59","observation_id":"794a3c36-65c2-4e95-942d-06dcdd9ca9e7","resolution":{"observed_at":"2026-08-10T17:10:15.206591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1311.0376","last_updated":"2014-01-22T19:15:20Z","snapshot_observed_at":"2026-08-18T16:08:56.013659Z","submitted_at":"2013-11-02T13:07:38Z","title":"On the Bootstrap for Persistence Diagrams and Landscapes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1311.0376","snapshot_observed_at":"2026-08-10T17:10:14.803731Z","title":"Chazal, B","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.803731Z"},"links":{"cited_paper":"/paper/1311.0376","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:34ce401cd4836761217c2c797d7ee0dc73d15a10e498dea04df02b8d581c157c","observation_id":"38a73ef7-c782-4dc5-a151-6604bca37506","resolution":{"observed_at":"2026-08-10T17:10:14.803731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.04404","last_updated":"2021-05-07T14:16:03Z","snapshot_observed_at":"2026-08-17T21:35:28.139130Z","submitted_at":"2021-05-07T14:16:03Z","title":"Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.04404","snapshot_observed_at":"2026-08-10T17:10:14.828421Z","title":"arXiv:2105.04404 [cs, stat]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.828421Z"},"links":{"cited_paper":"/paper/2105.04404","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:5eaf7c45a4306a69866503a48dea30ff75673243ae1b1ae22fd38c7690225c96","observation_id":"bbaa3754-48f1-4e4f-890b-0e3ceb3890a6","resolution":{"observed_at":"2026-08-10T17:10:14.828421Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:10:14.843318Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.843318Z"},"links":{"citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:b82689ca25bb9a80160f3993ecdd920319cc0c335440ed06d1c03585629e260f","observation_id":"bfea2187-e301-4593-82d4-68da34720e07","resolution":{"observed_at":"2026-08-10T17:10:14.843318Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-19T07:17:20.004918Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-10T17:10:14.818348Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.818348Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:ce7ea075755fe0b2df675ab213280cc21302040831623136b15b4f53e6a2f66c","observation_id":"d3530f0f-6427-4896-a366-4c5720af1b07","resolution":{"observed_at":"2026-08-10T17:10:14.818348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02136","last_updated":"2018-10-03T07:32:57Z","snapshot_observed_at":"2026-08-02T06:41:33.803920Z","submitted_at":"2016-10-07T04:06:01Z","title":"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02136","snapshot_observed_at":"2026-08-10T17:10:14.823060Z","title":"Hendrycks and K","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.823060Z"},"links":{"cited_paper":"/paper/1610.02136","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:4388e431a4a34ff1643eadaf99b22f23a6248f6e0fe879f4123154b411c50967","observation_id":"389b4ddf-803b-48bd-95ea-027891d4b057","resolution":{"observed_at":"2026-08-10T17:10:14.823060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.05840","last_updated":"2024-01-03T15:58:21Z","snapshot_observed_at":"2026-08-19T02:22:50.626313Z","submitted_at":"2023-12-10T09:50:57Z","title":"Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.05840","snapshot_observed_at":"2026-08-10T17:10:14.799012Z","title":"Ballester, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.799012Z"},"links":{"cited_paper":"/paper/2312.05840","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:3802c59e63ca92a3fa7537482191df35b17fc45a0e6e7625a5fa820b037117da","observation_id":"a2640d2a-cf67-4981-9a72-24fa6051c719","resolution":{"observed_at":"2026-08-10T17:10:14.799012Z","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":"2026-08-10T17:10:15.190320Z","title":null,"venue":null,"work_id":"d4188b3a-455b-470e-9046-f6270738bd02","year":2023},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.838620Z"},"links":{"citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:5a79294ff7e875389867ff9b6eca48afb5b666af7bc8cdb9c1b130f920d569b2","observation_id":"ba0671b1-ce0b-420e-8de2-8b308db508f4","resolution":{"observed_at":"2026-08-10T17:10:15.194401Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T17:10:14.847746Z","title":"URL https://doi.org/10.21105/joss","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.847746Z"},"links":{"citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:b710fd773fe15d6b8fe7dd8048d9af32debdc57af5fd2d094cb61c4cb81a7297","observation_id":"fa83c2d9-2587-41b1-9a7d-805c06802003","resolution":{"observed_at":"2026-08-10T17:10:14.847746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.09764","last_updated":"2019-09-27T06:54:59Z","snapshot_observed_at":"2026-08-14T17:39:04.645906Z","submitted_at":"2018-12-23T19:41:02Z","title":"Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.09764","snapshot_observed_at":"2026-08-10T17:10:14.833726Z","title":"Rieck, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.833726Z"},"links":{"cited_paper":"/paper/1812.09764","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:1ff8660ac1d9b44ff7fc552ba25420dc67def4a75fef45af611cc8a947af90cb","observation_id":"20a8ea79-f35f-4907-87bb-ed8d285df64d","resolution":{"observed_at":"2026-08-10T17:10:14.833726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.06565","last_updated":"2016-07-25T17:23:29Z","snapshot_observed_at":"2026-07-06T05:00:46.434335Z","submitted_at":"2016-06-21T13:37:05Z","title":"Concrete Problems in AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.06565","snapshot_observed_at":"2026-08-10T17:10:14.793062Z","title":"Amodei, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.793062Z"},"links":{"cited_paper":"/paper/1606.06565","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:0449f49206b6a07d300072cede1b5527bb4954b8f83f7183da0260b144301dba","observation_id":"a8042989-e8aa-49c0-84b8-ac06ceabf988","resolution":{"observed_at":"2026-08-10T17:10:14.793062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1303.7117","last_updated":"2014-11-20T08:16:51Z","snapshot_observed_at":"2026-08-15T00:23:24.066198Z","submitted_at":"2013-03-28T12:59:00Z","title":"Confidence sets for persistence diagrams","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1303.7117","snapshot_observed_at":"2026-08-10T17:10:14.808046Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.808046Z"},"links":{"cited_paper":"/paper/1303.7117","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:bade2c5decb9bba40a77a9c9d0268154442b05e399be81c2e67de79ae334af91","observation_id":"d87d361b-3bca-423a-be89-e1ae553c1da6","resolution":{"observed_at":"2026-08-10T17:10:14.808046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.10056","last_updated":"2017-11-28T00:08:10Z","snapshot_observed_at":"2026-08-14T20:09:34.325164Z","submitted_at":"2017-11-28T00:08:10Z","title":"Adversary Detection in Neural Networks via Persistent Homology","version":1},"cited_work":{"arxiv_id":"1711.10056","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.10056","snapshot_observed_at":"2026-08-10T17:10:15.117115Z","title":"Adversary Detection in Neural Networks via Persistent Homology","venue":"cs.LG","work_id":"b29ebdbd-bee5-473f-87e1-668b8d963e93","year":2017},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.813388Z"},"links":{"cited_paper":"/paper/1711.10056","citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:14123019b000134697e125d682fe01e7aaf594c0e62f3ed11e1788fd1eb10e2f","observation_id":"e7dafff7-fe82-4dbc-b655-0531b9d9c6ba","resolution":{"observed_at":"2026-08-10T17:10:15.125260Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T17:10:14.852526Z","title":"Zhang, M","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T17:10:14.852526Z"},"links":{"citing_paper":"/paper/2501.12522"},"observation_digest":"sha256:8ed5897c2c2fe0afdb235aaaeb2e9f35d65d9f25f6e641a1355a05b5dc93f116","observation_id":"5eb8f214-f846-4870-ab58-35560d194b87","resolution":{"observed_at":"2026-08-10T17:10:14.852526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.12522","last_updated":"2025-01-21T22:25:56Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T17:59:26.089881Z","submitted_at":"2025-01-21T22:25:56Z","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":1},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.12522."}