{"as_of":"2026-08-08T17:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fbbb664b4a840e5fd0b5cba3e53c8d1985e7f9afe6d42c017db322043d2ea445","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:46:34.853146Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.07229/citation-record","integrity":"/paper/2506.07229/integrity","json":"/paper/2506.07229/citation-record.json","paper":"/paper/2506.07229"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.06877","last_updated":"2022-03-14T06:19:27Z","snapshot_observed_at":"2026-07-06T12:47:24.314191Z","submitted_at":"2022-03-14T06:19:27Z","title":"Rethinking Stability for Attribution-based Explanations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.06877","snapshot_observed_at":"2026-08-07T05:46:34.740816Z","title":"Agarwal, N","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.740816Z"},"links":{"cited_paper":"/paper/2203.06877","citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:cecc2317cae97d793c988ba1a75bb89938074676ba9d99a5ada3374b819e601c","observation_id":"bea20a21-6f76-4f56-83fb-0625c5acd44e","resolution":{"observed_at":"2026-08-07T05:46:34.740816Z","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":"2026-08-07T05:46:35.238626Z","title":"Alvarez Melis and T","venue":null,"work_id":"65a129c5-646a-4433-9341-d8bed49b3907","year":2018},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.746701Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:f46c4684e7f1d3f79a7b8f3a6179a01e02b5354f3398d4cf942c79728733501f","observation_id":"1837b195-39a3-4fe8-ac17-6b5b974e2add","resolution":{"observed_at":"2026-08-07T05:46:35.243014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.224639Z","title":"Bhatt, A","venue":null,"work_id":"710542b1-03c4-4846-9033-64edd50efb65","year":2020},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.751358Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:bf11ee2479f463b3b546e1483cf94884a0f754a69d4b3bf31ef6bafdcd8c795c","observation_id":"c1334e8a-7405-45c7-9423-ab0794740c72","resolution":{"observed_at":"2026-08-07T05:46:35.229205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.210847Z","title":"Bilodeau, N","venue":null,"work_id":"87bda4f3-3fe4-4afd-b4f9-8b9eb2d6ca0f","year":2024},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.756159Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:0d822f50d188f6f9e470bda175f32cdbc6bb705352077eedacd2a0b2e0ce4f71","observation_id":"8af19204-5edd-4b1f-abe7-766424705d31","resolution":{"observed_at":"2026-08-07T05:46:35.215166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.196713Z","title":"Chalasani, J","venue":null,"work_id":"f8c07230-7fd0-4e32-b67a-0b65db52bc51","year":2020},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.760511Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:32400e3abb3209dafbe212ba9ed732082b021cf1e7a6e78cdab9c5a826a2c90b","observation_id":"ddd1c4ec-808b-4a4e-a08c-bdf3e373e182","resolution":{"observed_at":"2026-08-07T05:46:35.201096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.182715Z","title":"Cortez, A","venue":null,"work_id":"f98e1eb6-cb41-4f78-afd7-c950219b8958","year":2009},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.765231Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:eb8929b29ad94a4f569aab5c5ff68e61fcbf9b5eb250af20d7628c19f77da582","observation_id":"f0d359e2-eed8-46f4-8f3f-981cc5814e89","resolution":{"observed_at":"2026-08-07T05:46:35.187075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.169051Z","title":"Guidotti, A","venue":null,"work_id":"f5afd6e5-ff7b-452a-85d7-fa4ec15d1348","year":2018},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.770600Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:cdbe758fba1c0cbf5bd88971f81fa66f4782afd9affd698096ba6ed8bb3894b1","observation_id":"734b5c33-5755-48d1-84fd-a91441e20f90","resolution":{"observed_at":"2026-08-07T05:46:35.173222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.155536Z","title":"Holzinger, A","venue":null,"work_id":"74aa6acc-acaa-4c82-9719-eac2a0f2e9f0","year":2020},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.774901Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:582be4a8f8866f41188d64a5905585fc78ba2ddb9f34bc436c9a4f78ea820f6f","observation_id":"2b6ebb00-39b4-4f4e-8f66-eaf75a015965","resolution":{"observed_at":"2026-08-07T05:46:35.159696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.140817Z","title":"Janzing, L","venue":null,"work_id":"eb0d071f-c81f-4cae-a07d-e8d39598ead8","year":2020},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.779285Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:03359fc16ba80ac25b7bdeb9ebc608d60ebb8ab13e184e39fc51a446f3ef86c8","observation_id":"d7ab193d-1675-4437-99ae-f0cea89e9b9f","resolution":{"observed_at":"2026-08-07T05:46:35.145521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T05:46:34.783714Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.783714Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:3dcb23f45e241faaa62b0db4e38131268d9053a2e1772c5c65a88e322b4178ed","observation_id":"a5813a2e-1f5c-4e48-81e9-461b06fc5cb0","resolution":{"observed_at":"2026-08-07T05:46:34.783714Z","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":"2026-08-07T05:46:35.127187Z","title":"Klein, C","venue":null,"work_id":"d65a74ac-b44c-4c67-ad43-72b166e90d52","year":2024},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.788527Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:311a3a43143fcaeb4f5a8a45da2594464a250f3d9fce774d74394cfc32ee56d2","observation_id":"31c9be8a-5b86-4a91-9f66-cb8c4ae6e740","resolution":{"observed_at":"2026-08-07T05:46:35.131652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.112744Z","title":null,"venue":null,"work_id":"a21a56cd-6f97-4575-93cb-f209abbec1a2","year":2024},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.793234Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:ead8c0da62f2c71077f2810ba10f4994cf0df64d8b63442eabed026973cfcb7c","observation_id":"c4ec6664-05b2-4be4-b669-004593788927","resolution":{"observed_at":"2026-08-07T05:46:35.117320Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.098770Z","title":null,"venue":null,"work_id":"9bc917e5-343a-437e-8c72-ac9573a7aab4","year":2017},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.797994Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:d7f16e4e6c089f31bd9bd190196fc1bdae5ea3c57ddc360274185b0be35b7da4","observation_id":"bb9a0df3-48ea-47b1-ac50-8e7d94566897","resolution":{"observed_at":"2026-08-07T05:46:35.103065Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.084730Z","title":null,"venue":null,"work_id":"855b59c9-ed46-479b-82f9-2e91a126ce87","year":2019},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.802285Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:ee776f98805878f222b713a2bb5d09367dad7d860c3e7ea206cf40769d5aaa3e","observation_id":"99139247-fc65-4d72-9229-b0e8c8726140","resolution":{"observed_at":"2026-08-07T05:46:35.089174Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.07584","last_updated":"2020-07-15T10:05:05Z","snapshot_observed_at":"2026-07-06T09:38:23.564880Z","submitted_at":"2020-07-15T10:05:05Z","title":"On quantitative aspects of model interpretability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.07584","snapshot_observed_at":"2026-08-07T05:46:34.807079Z","title":"Nguyen and M","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.807079Z"},"links":{"cited_paper":"/paper/2007.07584","citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:e75b8b235bb6eeed65ba62a7b799897cc03d090b9390e9ba70559aab12337998","observation_id":"31ca74c8-d89e-44c6-8e93-db74596ef5ee","resolution":{"observed_at":"2026-08-07T05:46:34.807079Z","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":"2026-08-07T05:46:35.069514Z","title":"Pedregosa, G","venue":null,"work_id":"59103a0f-dbe2-41ce-8e68-a10a807eab5f","year":2011},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.811798Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:68354848c3a5e5cf3fc05103f4e68c6f886cc3be0658c9491b4e4c1ec1288d92","observation_id":"e5021f06-a846-4cc1-8649-dcd9066b5595","resolution":{"observed_at":"2026-08-07T05:46:35.074725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.055223Z","title":"why should i trust you?","venue":null,"work_id":"913a077b-db8f-42da-97ec-894f63d849d1","year":2016},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.816005Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:6f6a842a9a113f42169d8a754d9ef46cf832f368512c7705e2e5a554d880c982","observation_id":"905e532e-021d-42fc-b998-28b5fbba3b2c","resolution":{"observed_at":"2026-08-07T05:46:35.059716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.040690Z","title":"why should I trust you?","venue":null,"work_id":"a91453d4-dd1d-46ba-aa2e-9c3b256bb533","year":2016},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.820305Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:ec72abac2693aeba434cb9269515e3d80101a65b057f08837b8f8d11d628ad61","observation_id":"6f95473b-6393-458d-83da-cd50550163ee","resolution":{"observed_at":"2026-08-07T05:46:35.045571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.025041Z","title":null,"venue":null,"work_id":"a2c360f5-61d8-47aa-9589-e289d1163e0c","year":1953},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.825048Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:ded4e5e63d52c24687ef657030045a33aac6823fa0d203a6a7812a75b518b8dd","observation_id":"833341a3-fb40-49bc-873f-f0641f2f0c96","resolution":{"observed_at":"2026-08-07T05:46:35.029940Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:35.007081Z","title":"Slack, S","venue":null,"work_id":"38e8b56d-6d63-45ee-ab03-35eba00ba0dd","year":2020},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.830054Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:1da3e7e622af7dc518909e7d487016749b71d260e249a8fe9bb1d68c3797489f","observation_id":"46c2008d-3138-46e4-86e8-0d1957304b98","resolution":{"observed_at":"2026-08-07T05:46:35.011756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:34.990987Z","title":"Štrumbelj and I","venue":null,"work_id":"e9d09ab0-029c-40d7-a6ed-5049ca0e8a58","year":2011},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.834659Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:fdca1ac0872fd5401ec835b82f105d2616b6a97dfeba2b5823d1b3b5463115d9","observation_id":"ac1ce3c9-0ebb-41d9-962b-0cd39dcfd93a","resolution":{"observed_at":"2026-08-07T05:46:34.996003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:34.974470Z","title":"Sundararajan, A","venue":null,"work_id":"cd5c292b-c316-4c4f-b351-c80a71619736","year":2017},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.839182Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:7865d3ed70c7ff7815626ef72b279cfcc72945c3ad82cb956fa35db8a3e4f899","observation_id":"018db0b9-63f3-4a1e-a5ae-3677d27218ea","resolution":{"observed_at":"2026-08-07T05:46:34.979471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:34.843645Z","title":"Tsanas and M","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.843645Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:4d8a658d8981e4ea9bf944b30df0a8b614d85f73745ccaa1514b00068013176d","observation_id":"8c8f8efa-3a3c-4a31-8c9b-5375d8bc7baf","resolution":{"observed_at":"2026-08-07T05:46:34.843645Z","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":"2026-08-07T05:46:34.958687Z","title":"Yeh, C.-Y","venue":null,"work_id":"cb15c9c1-392d-4731-9711-b1cc9bfe5f39","year":2019},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.848156Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:08513b16b7c6223c225f94be08dc09839610a49e304494ec76d94eff876c4f65","observation_id":"1aaecaad-d5db-470c-874c-958fcd0bd9f3","resolution":{"observed_at":"2026-08-07T05:46:34.963742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:46:34.941216Z","title":"decision surfaces","venue":null,"work_id":"0840ab9a-7a44-48c5-a9d0-ffc08874ea66","year":null},"citing_paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution","version":1},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-08-07T05:46:34.853146Z"},"links":{"citing_paper":"/paper/2506.07229"},"observation_digest":"sha256:b0e797dc8cd83e43ad970912dedba574e6194c8211c69c03684bd46e0a2ed5b1","observation_id":"54613bdd-ebe5-4d1d-85ca-d6860162927e","resolution":{"observed_at":"2026-08-07T05:46:34.946848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.07229","last_updated":"2025-06-08T17:26:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T05:36:35.476639Z","submitted_at":"2025-06-08T17:26:47Z","title":"VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":17},"total_outbound_references":25},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.07229."}