{"as_of":"2026-08-10T08:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1115a7b60a2c531d4d8756274a10510a4232737b94ee510aae4fc5c5577f2638","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:45:32.637506Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2509.06988/citation-record","integrity":"/paper/2509.06988/integrity","json":"/paper/2509.06988/citation-record.json","paper":"/paper/2509.06988"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:45:38.025278Z","title":"In: Proc","venue":null,"work_id":"ddc649e4-c9e9-4ad1-8d8a-99daa340932a","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:29.805853Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:f6156650b0c9d8d4004025522499e10c7b846ec11395e5f3a8ad287a7c3cf91d","observation_id":"37292f80-1138-4aee-bb7e-9b48c400847a","resolution":{"observed_at":"2026-08-05T11:45:38.027850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:38.016553Z","title":"In: Proc","venue":null,"work_id":"d05a76f5-67cd-493a-98f6-8170bc9d4b47","year":2022},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:29.816167Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:21dc173940f86aaa020c187a527febaefd7e03b245f13bbbd7e0646a94855ffe","observation_id":"3f67c743-b183-40d6-8995-05963c9b4d3b","resolution":{"observed_at":"2026-08-05T11:45:38.019813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:38.007567Z","title":"In: Proceedings of the ieee/cvf inter- national conference on computer vision","venue":null,"work_id":"c78501e0-a060-4533-b309-42530a928074","year":2021},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:29.869252Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:3766503a5d19e04692a1a1a8a12f7eff9a2b789714c299909fea3b792c16f2f9","observation_id":"08014e42-64a5-42a1-8677-fd1d15dda4cd","resolution":{"observed_at":"2026-08-05T11:45:38.010828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.997903Z","title":"In: Proc","venue":null,"work_id":"181bd705-6d69-417e-a1ac-b5e016adfb3e","year":1992},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:29.922274Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:c64a332819dc0e4b13c7d9ee7c6135ecb783a7796b3311e4912e1aee943123df","observation_id":"34003862-b520-4e03-b0ce-90252d7e668e","resolution":{"observed_at":"2026-08-05T11:45:38.001514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.884014Z","title":"In: Proc","venue":null,"work_id":"b45b032c-fa4f-42b6-ab3b-d6090a87496e","year":2014},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:29.976120Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:ab082b789bbd0c2c76af5bb999d4ac41634a5e9385b1de1ea833a31af9d99940","observation_id":"2cf571cf-c769-47dc-a0b0-06fcbd640b04","resolution":{"observed_at":"2026-08-05T11:45:37.962852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01263","last_updated":"2020-07-02T17:17:21Z","snapshot_observed_at":"2026-08-08T10:40:46.013623Z","submitted_at":"2020-07-02T17:17:21Z","title":"Outlier Detection through Null Space Analysis of Neural Networks","version":1},"cited_work":{"arxiv_id":"2007.01263","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.01263","snapshot_observed_at":"2026-08-05T11:45:32.895461Z","title":"Outlier Detection through Null Space Analysis of Neural Networks","venue":"cs.LG","work_id":"8c58c742-e1d1-45e5-84ea-512d7b50df48","year":2020},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.028941Z"},"links":{"cited_paper":"/paper/2007.01263","citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:9a65a98e3fdcfe3cde10f10f3ce34058436665a94f02079d35660b7a13d5c549","observation_id":"3ba37205-e30d-4f19-9b82-b089590aad1c","resolution":{"observed_at":"2026-08-05T11:45:32.948082Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.858371Z","title":"In: Nature Commu- nications (2020)","venue":null,"work_id":"cccae2e2-0a1a-4297-a431-5c7673ad07f3","year":2020},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.082976Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:cd3a63488bc699809ce86843ff49229681e2f5a37ba4efe8ea9754a37d46093d","observation_id":"b673c57b-3b67-4043-b743-5df6ca0e3633","resolution":{"observed_at":"2026-08-05T11:45:37.866047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.850399Z","title":"In: Proc","venue":null,"work_id":"9b622d71-f5f1-4282-aaae-76591ac0a3ae","year":2009},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.135793Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:f116ecf8b7115beaa668599898f52eebb6e9b166d419ab76c143a1ac3c374832","observation_id":"73de4068-cde0-4cc8-8352-e662fbf53bfe","resolution":{"observed_at":"2026-08-05T11:45:37.853014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.841949Z","title":"In: Proc","venue":null,"work_id":"7bf9365b-0772-464f-a0b9-db9cca99523a","year":2023},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.221098Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:f982b96fa32bfe0150ac85313fb6b704afa63989525836a82223fa08fcd8e93b","observation_id":"84f7a1e9-59dc-4f40-8615-c58ff8fdc189","resolution":{"observed_at":"2026-08-05T11:45:37.844606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.833647Z","title":"In: Proc","venue":null,"work_id":"b19c3aca-5bda-4809-a44d-f8d7ecc0877d","year":2020},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.263862Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:29011bcb3dd8b7744ae20cc6c13a816ddd96354bc9909eac7ade61a1d8c8f871","observation_id":"f10e61f2-0487-4cc8-91df-c263601bd512","resolution":{"observed_at":"2026-08-05T11:45:37.836441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.825376Z","title":"In: Proc","venue":null,"work_id":"c652873f-df82-4016-b041-ad73ae5140a9","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.313650Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:73db35576914dcf8e1925e525a8d22dce8dff4089af57df0ff59c670b569f4b6","observation_id":"6fec1c8d-3a5c-43e3-a0b2-244566fb990d","resolution":{"observed_at":"2026-08-05T11:45:37.828297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.816793Z","title":"In: Proc","venue":null,"work_id":"069907ae-be4c-44a8-b6ff-34b9da929037","year":2023},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.369184Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:36ae891172788454fba07065bf90ec221b88111985440357258e611ca22788ef","observation_id":"ee19df6f-a14e-4cc0-a9e8-06c2a8400e91","resolution":{"observed_at":"2026-08-05T11:45:37.819493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.807973Z","title":"In: Proc","venue":null,"work_id":"bbf4b27d-303b-49e7-b660-87e6b8d2809c","year":2016},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.421869Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:57044496208b5da24a49e56032bfc901e96e36cb11ad19545d2d2b0a761d3e17","observation_id":"ffe6aeb9-6003-4335-9345-0dbeefd054ee","resolution":{"observed_at":"2026-08-05T11:45:37.811216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.799625Z","title":"In: Proc","venue":null,"work_id":"f27593a5-14ea-477e-86e8-b8391b46d48a","year":2010},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.470296Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:80bd02516dd3419182fb991a10f084d6de781736752bd6fdcff45dd33cae0f2e","observation_id":"ea6ee523-fd64-4aa5-bedb-6f44f23a3604","resolution":{"observed_at":"2026-08-05T11:45:37.802180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.791453Z","title":"IEEE Transactions on Image Processing 24(12), 5543–5556 (2015)","venue":null,"work_id":"cb898806-601f-4d2a-a7e8-5f47bcbd5676","year":2015},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.512586Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:a09d216b283da3fde282fb1d0febf5bd353acec1e1a59f78233f27d8db33cbf9","observation_id":"78ecb87c-7e5d-4f7e-950b-be3215ffcbff","resolution":{"observed_at":"2026-08-05T11:45:37.794152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.783123Z","title":null,"venue":null,"work_id":"d342c946-c91d-4ca5-adce-a2585c081dd9","year":2019},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.567338Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:27eefa95c7e0ce56779a0af0804d189554427ad473d13544a55bfb9bcc869826","observation_id":"57822dda-29a6-487b-b0fe-0c3333773975","resolution":{"observed_at":"2026-08-05T11:45:37.786116Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.774456Z","title":"In: Proc","venue":null,"work_id":"97da4be7-d62a-46a3-b769-1bcf2408681f","year":2017},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.621968Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:4731d30af0cd1244ac2ff19d3d919fc5d6ec58ce9428bd2828c07ec35edfac03","observation_id":"43330fdf-c72a-4818-8857-66af29610579","resolution":{"observed_at":"2026-08-05T11:45:37.777439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.766248Z","title":"In: Proc","venue":null,"work_id":"0afb4fc6-aadc-4096-9f05-b47caac2a983","year":2021},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.677134Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:dacfa6066faea139f5324d166718355ec3cb0b69e2a5973a578a7e07eb5c9f9b","observation_id":"3850ca14-dee9-4caa-87d6-c3481039bbd2","resolution":{"observed_at":"2026-08-05T11:45:37.768776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.756999Z","title":"Handbook of Systemic Autoimmune Diseases 1(4) (2009)","venue":null,"work_id":"4fe92247-ce23-4fbb-bed4-c8bc95b888e3","year":2009},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.735384Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:28ca694bcc4eae3cf4050baf57733a518541625354685a37f86a40c5fab4f9a0","observation_id":"cd2efd39-3d07-4f24-a91f-c3c3bf608653","resolution":{"observed_at":"2026-08-05T11:45:37.760197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.748688Z","title":"In: Proc","venue":null,"work_id":"8ce3f05f-da36-4c41-ac58-01ca6cd68746","year":2018},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.790632Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:3134150dace2b820a2165bf9895d097d117a5aaa13bcbe9eaee27257dde848d6","observation_id":"c2a68213-913f-4f45-a8b3-a44add4eea33","resolution":{"observed_at":"2026-08-05T11:45:37.751269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.739403Z","title":"In: Proc","venue":null,"work_id":"8867efb8-7f2b-4967-97ae-cdde642cc631","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.830756Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:8a059d3380266cc143116f42ccfe53b1a17e235140799ba032f1b45f8434dd4a","observation_id":"3d15d1cf-144b-4f14-957e-22b242890ab7","resolution":{"observed_at":"2026-08-05T11:45:37.742207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.729791Z","title":"In: Proc","venue":null,"work_id":"18e038b0-9640-4357-aaed-23db537f00cf","year":2018},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.875057Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:abb8f0312b28c4286157ea38ea3476c764ebcd65891190f76f371d7f91273c81","observation_id":"553e7acc-cf9a-4960-8a39-aa2491c596d9","resolution":{"observed_at":"2026-08-05T11:45:37.732577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.721464Z","title":"In: Proc","venue":null,"work_id":"0c9bc198-dbc3-425a-aebc-c9b0883433c3","year":2020},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.934436Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:61383dbb2be4dc3107c671a5d8e49439e3a10974c0db88067549b5f0fef9d62f","observation_id":"25e1acda-2b80-4dd1-84be-868822cccb1c","resolution":{"observed_at":"2026-08-05T11:45:37.724026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.713081Z","title":"IEEE Transactions on Medical Imaging41(7), 1897–1908 (2022)","venue":null,"work_id":"9b39767d-dfd2-4724-946b-77939c49145d","year":1908},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:30.987668Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:970afb68edadd78b14d4572d277a4932de9dbdb4c9465c3629f6ab8c86a9bf4b","observation_id":"becb04ca-9520-4af8-879c-e6f6e42f2e3c","resolution":{"observed_at":"2026-08-05T11:45:37.716015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.703565Z","title":"In: Proc","venue":null,"work_id":"965cbf9f-d12f-4a71-ade1-2f44119c41ab","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.040879Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:668083ceeb8e0262e2113feb519053471fc8955938b70c6bcc8f01410fbc7f77","observation_id":"42d5e131-e104-4b0d-bb86-059cf3d1112f","resolution":{"observed_at":"2026-08-05T11:45:37.707065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3760390","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"ACM Comput","venue":"ACM Computing Surveys","work_id":"869a775b-5514-4420-ab38-536170b76ec0","year":2025},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.073319Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:a06ed9bfc4901a6d231032e51c9d4a2a38cb505e5d7b75f728af415a0e7aac6b","observation_id":"73ef0fc3-7666-423f-8b97-2076cd02b4ab","resolution":{"observed_at":"2026-08-05T11:45:32.785261Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.693601Z","title":"ICLR (2023)","venue":null,"work_id":"90480245-3c1f-4a79-91c7-52437d05be1e","year":2023},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.130324Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:a8d7f552f071bc5698df70e52144b286dd7425a6296df97df29abe3239499bfb","observation_id":"f9a7762c-8e8c-45ea-ac3c-5e940b65309c","resolution":{"observed_at":"2026-08-05T11:45:37.696733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.683766Z","title":"In: Proc","venue":null,"work_id":"22ccb2eb-4e19-4fe1-b2a5-5fdaabd2e7a5","year":2022},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.180729Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:88185a403b45fd384a277a515759ad203a6197ad0dc0e08169afc3475d208fff","observation_id":"030acd71-362e-48fc-9dc8-915920aa80b3","resolution":{"observed_at":"2026-08-05T11:45:37.686840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.673766Z","title":"In: Proc","venue":null,"work_id":"2736f583-c18b-46b3-8047-c7d2a5f7f7fa","year":2025},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.266309Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:36d2a1b480cde50aeb135006b70fbdc177777e69c88d97b995564e03ddb5a3ef","observation_id":"91e2b846-38db-48f8-ac8a-16e688b2ffea","resolution":{"observed_at":"2026-08-05T11:45:37.676609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.642235Z","title":"In: Proc","venue":null,"work_id":"92e39205-2a0b-40a3-b0d3-280550117137","year":2011},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.340479Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:9a4d94157e291109154152bd02bddf6fc731fa2859fb389e71f728b9ea36b943","observation_id":"12501337-1bd8-4f75-850f-25d0e3a7843e","resolution":{"observed_at":"2026-08-05T11:45:37.666757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.379190Z","title":"In: Proc","venue":null,"work_id":"d88e84a1-d550-44b8-bef9-15ca717044b5","year":2023},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.395663Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:508f45fee7dc2bf387e0e0da9a276b57e1b1ab46efa3b92268354e4d683188d5","observation_id":"48f36a22-1478-409a-b827-57ea61107e99","resolution":{"observed_at":"2026-08-05T11:45:37.515358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:37.151791Z","title":null,"venue":null,"work_id":"720a18b5-d7ad-4517-8922-b4b8cf96b42b","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.480099Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:a82983033f93916da90931a348e7c88f97c07cc824fa62bd8da4dc4100ad74f0","observation_id":"c9f409d8-0698-47b4-9110-6eb44b0796a6","resolution":{"observed_at":"2026-08-05T11:45:37.250421Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:36.897326Z","title":"In: Proc","venue":null,"work_id":"9987f842-ebdf-4aed-b1ce-e92522bbaa8f","year":2021},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.545798Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:56fd0061a32ce89aaf2a806d6f73daf2128335f9b1d8a197e5b36cc275dcaf8c","observation_id":"89a81ae2-2d98-4e53-a5c2-8dd7ba5d24b4","resolution":{"observed_at":"2026-08-05T11:45:37.026276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:36.644112Z","title":"In: Proc","venue":null,"work_id":"963d83b9-1ef1-4a0e-ab18-e7a4fba3f236","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.602790Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:eb24a29758824c9bc355f7758f6109122ea22b6261e7055564e2a62d8653a586","observation_id":"26eeb349-6bc3-4cf5-8148-8e3bb3fb1f53","resolution":{"observed_at":"2026-08-05T11:45:36.769943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:36.357918Z","title":"In: Proc","venue":null,"work_id":"8dab902b-821e-46db-bc09-38829ab20600","year":2018},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.654231Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:ac96049e88f5bf0f189cdc6342cea72e446ca427e8b15ff25ca3e0981ced10d6","observation_id":"cdc72b11-04ea-47e2-8bce-4f3a52b36c8a","resolution":{"observed_at":"2026-08-05T11:45:36.486425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:36.058550Z","title":"In: Proc","venue":null,"work_id":"95f1dc51-b6c5-43e5-89f4-168f5d1ad09f","year":2021},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.707864Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:d649a67cb157e0bcae8567cfa0242941123b29c36f026b7fa9e5e2a98f1f5491","observation_id":"5afc3099-7f38-45b9-87df-188584c883e0","resolution":{"observed_at":"2026-08-05T11:45:36.250303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:35.787302Z","title":"In: Multimedia systems","venue":null,"work_id":"9ef8a1e5-8f4f-46bf-8486-39e8c80f4c3b","year":2021},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.740403Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:e1f8a5023ea243681da75db82447c4cf07d73a988bc5026aa711998662890f45","observation_id":"28d589bb-8ef0-40fa-a9dc-6778104111ef","resolution":{"observed_at":"2026-08-05T11:45:35.922168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:35.507704Z","title":"In: Proc","venue":null,"work_id":"68fcb764-9126-4eef-9ae7-52547bd3b21e","year":2021},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.823114Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:31175c5586f2937c657d218bc7a3be2b3be41f807916de5860b97f3e67bcf597","observation_id":"db248275-5b9e-4984-b216-e8670d6ba3ad","resolution":{"observed_at":"2026-08-05T11:45:35.673019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:35.317995Z","title":"In: Proc","venue":null,"work_id":"725037b4-8036-48e6-9e31-f92ab7c28250","year":2022},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.891814Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:8cb52c23ba4db58dedfbe87b8066deb39390d9557d9bf45d004385756b994c92","observation_id":"cc617c8e-f6b8-469b-b76b-f1326f3e41f8","resolution":{"observed_at":"2026-08-05T11:45:35.416521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:35.145190Z","title":"In: Proc","venue":null,"work_id":"25c4e052-0398-4ebc-acaf-72cd6871ae1e","year":2022},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:31.946449Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:37587cfd6e0e578d4a56ebd818f21e84d4004f8bd858f5fa25b2fe4ceeea3fb4","observation_id":"084f27be-b8aa-44ab-a71d-0cd8bd36309c","resolution":{"observed_at":"2026-08-05T11:45:35.239135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:34.928491Z","title":null,"venue":null,"work_id":"9e44f810-cef4-45fe-ae09-e931d5f84ed0","year":2021},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.003006Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:ec3d91729361f3857ce9a0cb0d11da910ef7b7df218a9de80ec0a477068aa41f","observation_id":"c734fdac-573d-428f-8e95-6a5dfcfdf29a","resolution":{"observed_at":"2026-08-05T11:45:35.018081Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:34.736322Z","title":"In: Proc","venue":null,"work_id":"812ffa02-bc1b-4cc4-b72b-040a9edf6374","year":2018},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.085897Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:e7a8bd54934f241a402ec2171b9cc9b79a320a6663d1c5bc04187c32125968d3","observation_id":"0f05467f-ddd7-4339-9dd4-5facbb139700","resolution":{"observed_at":"2026-08-05T11:45:34.822656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:34.465185Z","title":"In: Proc","venue":null,"work_id":"1dd9f374-e1ec-434a-ba44-3b34fb8b4a5c","year":2022},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.131433Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:2aa3a6af253a0f746cea335be76aa32d195240d814df2bb46ed236fcc366da7e","observation_id":"3f436a7d-6104-4eb5-ab1a-290d119b071f","resolution":{"observed_at":"2026-08-05T11:45:34.627333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:34.211868Z","title":"In: Proc","venue":null,"work_id":"21e4d781-d4c2-4456-83bc-bc38bd23dbf6","year":2010},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.187186Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:babf4bc48bc1240797783c1a7a1d4160b7f645989f39867203c28730b924cf26","observation_id":"c0f76e73-dfeb-486f-998a-69314f0a5773","resolution":{"observed_at":"2026-08-05T11:45:34.298023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:33.895022Z","title":"In: Proc","venue":null,"work_id":"25058104-b2a7-47be-acb3-e5c59ad61d8d","year":2022},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.249148Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:a20191293cdf9aa4b607ba3968996b42e46542e74adc2d964dd059cee9ff9cc2","observation_id":"5004e50a-f581-447b-b8d1-d04d783f18bd","resolution":{"observed_at":"2026-08-05T11:45:34.018544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:33.635480Z","title":"In: IJCV","venue":null,"work_id":"965e3c60-82b2-4eca-8dab-434d7b800baf","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.322365Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:65bc9e1daaab04db6781ef41cddf17238deebbdd4712f56b070789f0a20daff9","observation_id":"1a033976-1e96-4ba2-9a0e-67f1807be440","resolution":{"observed_at":"2026-08-05T11:45:33.740385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12267","last_updated":"2025-05-17T08:05:59Z","snapshot_observed_at":"2026-07-06T15:06:26.541950Z","submitted_at":"2023-03-22T02:28:54Z","title":"AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12267","snapshot_observed_at":"2026-08-05T11:45:32.387008Z","title":"arXiv preprint arXiv:2303.12267 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.387008Z"},"links":{"cited_paper":"/paper/2303.12267","citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:ad4c4d24a30e238b100bb7b1a060a1430c7be9d4f50380c989d3950a04b0fd43","observation_id":"dbd39876-6b91-4abb-82a0-7d0ae970ae40","resolution":{"observed_at":"2026-08-05T11:45:32.387008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09301","last_updated":"2024-12-16T23:09:28Z","snapshot_observed_at":"2026-08-07T21:55:34.598099Z","submitted_at":"2023-06-15T17:28:00Z","title":"OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09301","snapshot_observed_at":"2026-08-05T11:45:32.459517Z","title":"arXiv preprint arXiv:2306.09301 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.459517Z"},"links":{"cited_paper":"/paper/2306.09301","citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:796e7d6ebb04be7f3d06598ec879123bfc70615260e3bebfc10b1c2f34cdaf6b","observation_id":"921f69cf-c066-45fc-91ff-4ce58be04bb9","resolution":{"observed_at":"2026-08-05T11:45:32.459517Z","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":"2026-08-05T11:45:33.330705Z","title":null,"venue":null,"work_id":"e308d7a8-2dc2-4286-bf41-661ba74558ce","year":2024},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.526083Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:a870441fe8b51d836a2378f11061682007875d93d77368a3fed6cff21d5176f5","observation_id":"109d8104-c163-4a6d-8c15-be73a52135a2","resolution":{"observed_at":"2026-08-05T11:45:33.488069Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:33.157807Z","title":"IEEE TPAMI40(6), 1452–1464 (2017)","venue":null,"work_id":"0f182416-5d62-439a-8af6-81c25de4fea5","year":2017},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.578200Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:47725eef48d44da0ce7e8bdcf385fc809e9c1b20e09ca2680afc7b52fa5c079f","observation_id":"8fa06b3e-b952-4927-b30b-177cc49fa77f","resolution":{"observed_at":"2026-08-05T11:45:33.251141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T11:45:32.999659Z","title":"In: NeurIPS","venue":null,"work_id":"f7959073-72c6-42bc-98da-4c3978b0ab30","year":2022},"citing_paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T11:45:32.637506Z"},"links":{"citing_paper":"/paper/2509.06988"},"observation_digest":"sha256:2ef730bfe7c307c783b1d9eaace6629cb12bac4a287644aa03ed76fdc7ef4ace","observation_id":"9dcb46f8-7705-41ce-8cd8-7601d8410805","resolution":{"observed_at":"2026-08-05T11:45:33.086771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.06988","last_updated":"2025-09-02T13:24:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T23:18:50.752271Z","submitted_at":"2025-09-02T13:24:40Z","title":"Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":43},"total_outbound_references":51},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.06988."}