{"as_of":"2026-08-10T13:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2e27fcf6d1df12503312fee8a0b710d8a06b5adb842bc97873c69c6c9e0ce481","coverage":[{"denominator":94,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":94,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:54:44.165403Z","state":"measured"},{"denominator":94,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":94,"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/2506.23182/citation-record","integrity":"/paper/2506.23182/integrity","json":"/paper/2506.23182/citation-record.json","paper":"/paper/2506.23182"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:53:49.132009Z","title":"& Schmidhuber, J","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:53:49.132009Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:7b756e500d6cfb4b84a9d2403f9b8b832e3b2016f83f8ae633ae538865bee063","observation_id":"0a2fe048-f7b1-49d2-8a07-5d36e044e974","resolution":{"observed_at":"2026-08-06T21:53:49.132009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-06T21:54:42.594046Z","title":"& Dao, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:42.594046Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:3b822fc947fcc9c95d508eecb335ae12ee83977dc9f9a78b8a9111844f25f3c1","observation_id":"6ffebbd0-30a1-4735-bf91-900e21ecc123","resolution":{"observed_at":"2026-08-06T21:54:42.594046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:42.611548Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:42.611548Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:24c0b61856e33bba1522981023f4c938ec42ac862ed2fe1dcf248a7285c368b6","observation_id":"6c7c2c20-f5f6-4ac8-8508-ae20feb9f6b3","resolution":{"observed_at":"2026-08-06T21:54:42.611548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:42.672099Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:42.672099Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:7cbc481cfdbc105babd09cfc352eeeed98dafc9c271a74f19bd89bd0a731cbff","observation_id":"b0debcd6-b9bf-462d-ab5f-cf1ab0f005e3","resolution":{"observed_at":"2026-08-06T21:54:42.672099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:42.769647Z","title":"& Ganguli, S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:42.769647Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:f12e67f2a2f7afb7c2f845b0762c6c897393dd9aa5b1aa8e08aac736bb17c8c9","observation_id":"cab55861-c5cb-4d2d-8b5e-79692cd4de81","resolution":{"observed_at":"2026-08-06T21:54:42.769647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:42.840119Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:42.840119Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:43e18cecf6ee8dbae891390a16a961a7f2dc3d012a7a9c2fb2e10b6409f0cdb6","observation_id":"b696f4e5-4a98-4e93-88d2-802717a10c9e","resolution":{"observed_at":"2026-08-06T21:54:42.840119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:42.912688Z","title":"& Meng-Papaxanthos, L","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:42.912688Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:6d6c503cee639bc3f6496d340953cb9dbc47efdc370f260daa31c0205c73e125","observation_id":"872a0906-ec78-4e31-8d0f-2fb5e44b10dd","resolution":{"observed_at":"2026-08-06T21:54:42.912688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:42.976666Z","title":"E., Arnold, F","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:42.976666Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:b9e61954a6100a9232d8fbab002871ff0cc72e4a8964b0ba4d80cd6f3abe0105","observation_id":"6ada2355-0ba6-4281-a92a-a42e1e74279c","resolution":{"observed_at":"2026-08-06T21:54:42.976666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.057397Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.057397Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:79634139bf50b38236733c9f7404f4d9df22e8ba21154cb382e3a5dc27f5d920","observation_id":"4e00ba0d-e987-40a3-85da-c4a13e0f4fe3","resolution":{"observed_at":"2026-08-06T21:54:43.057397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.123704Z","title":"& Weigt, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.123704Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:445d341b83f7404abd18e3fd64a131bb7e02adb740effb550d5d72f62b25ec95","observation_id":"d266151f-6093-4f73-8ff0-e9289393f704","resolution":{"observed_at":"2026-08-06T21:54:43.123704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.129231Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.129231Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:af996070495b6d806bc01d5e80881695785dadc9ff53b11be87c6e16643482bd","observation_id":"89e464d4-5cfc-492c-9138-574ec43b8f25","resolution":{"observed_at":"2026-08-06T21:54:43.129231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.145216Z","title":"& Marks, D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.145216Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:49901f6af24f54a334239b3d2696d910a42e5c4cc3b1a1cb7d83482ccddd5c0d","observation_id":"819beab6-600c-412f-be8c-89619c90ec0d","resolution":{"observed_at":"2026-08-06T21:54:43.145216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.151219Z","title":"& Listgarten, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.151219Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:eda799571d0ffe395dd948fa9a1abc8e35e8d1109d8f838eb9eafd7395e90562","observation_id":"bc19b43e-2d8b-49d0-a8a5-d07eaa019574","resolution":{"observed_at":"2026-08-06T21:54:43.151219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.164680Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.164680Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:d1325654dd5836d086fb885f5bd6a183f26d0481d87143f25b8ec6376bf4bee0","observation_id":"67254374-5524-4fab-b31c-a286a2bd5794","resolution":{"observed_at":"2026-08-06T21:54:43.164680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.190756Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.190756Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:0712f28799ac153f9e17537a2374aaf980ce85cba7991b20c7d8ddf96ef27edf","observation_id":"1947d2af-847f-49f6-a416-9abae23b61f2","resolution":{"observed_at":"2026-08-06T21:54:43.190756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.274296Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.274296Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:e3715c821e5db633b27ce917a79ddbd0487f107bc45d70e3966e17cf932132ea","observation_id":"93495379-e477-48a7-bfd3-a4b2e6d46310","resolution":{"observed_at":"2026-08-06T21:54:43.274296Z","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":"2026-08-06T21:54:46.094784Z","title":null,"venue":null,"work_id":"604de89b-add6-4507-941d-216eb04b5110","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.332532Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:8ed0cad0a908979d555c0adfc4aad99a6a014f3a51bca5780d48bd902b77f677","observation_id":"ce0e695f-b89a-40f0-b2b3-6e20a1ec4d65","resolution":{"observed_at":"2026-08-06T21:54:46.099074Z","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":"2026-08-06T21:54:46.067839Z","title":null,"venue":null,"work_id":"5a9da523-1a5f-4a34-a951-e555a6160838","year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.407231Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:73bc2a5b45a74af5e228e0d3ce872804035ff7ffc77409cea82fcfd74ca24c0c","observation_id":"3ec20147-e339-4f3a-9dd0-1be5303e28c6","resolution":{"observed_at":"2026-08-06T21:54:46.072337Z","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":"2026-08-06T21:54:46.039109Z","title":"& Huang, P","venue":null,"work_id":"3463b703-5685-4331-be2a-b76adccc1cc3","year":null},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.484029Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:f36defb77fc1b1494b3d3fc8029eb108c10e8c2123ac03969592db6ef845439f","observation_id":"0eb2ce88-795e-4795-b389-e6d9b7a30daa","resolution":{"observed_at":"2026-08-06T21:54:46.051823Z","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":"2026-08-06T21:54:46.015098Z","title":null,"venue":null,"work_id":"27cd8094-3b27-4c89-91b4-2290757460bb","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.584291Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:8b40cda68aea084ec3aa42bb370cd5f284e866ba968ee51d1ccc84c309df82d7","observation_id":"42881bad-968c-40dd-984f-e6279d6c1084","resolution":{"observed_at":"2026-08-06T21:54:46.025685Z","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":{"arxiv_id":"1712.06148","last_updated":"2017-12-17T17:23:10Z","snapshot_observed_at":"2026-08-10T01:07:09.994946Z","submitted_at":"2017-12-17T17:23:10Z","title":"Generating and designing DNA with deep generative models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.06148","snapshot_observed_at":"2026-08-06T21:54:43.635157Z","title":"J., Delong, A., Duvenaud, D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.635157Z"},"links":{"cited_paper":"/paper/1712.06148","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:7be86105a74fee4388c150326b993cbedad679f0ec7f262f7a47c09f0ec22c30","observation_id":"d82ea523-c6f1-4e0b-8567-693175f96564","resolution":{"observed_at":"2026-08-06T21:54:43.635157Z","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":"2026-08-06T21:54:45.989688Z","title":"R., Kim, D","venue":null,"work_id":"641cb00d-4f2e-4d76-962e-b5c6d0483e55","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.645959Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:42365c1d3fb9b571f1db7bbb6da6445a93dab0cfc0a97b73a60febb6aca344a7","observation_id":"8be488d0-f3a8-4bdb-aaf2-f6947c6885c7","resolution":{"observed_at":"2026-08-06T21:54:46.002345Z","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":"2026-08-06T21:54:45.966559Z","title":"T., Robson, J","venue":null,"work_id":"3afeeb65-0d9c-44a7-90b0-066504c53a4a","year":2025},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.651481Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:d34211b61c971dbdde91014e83c903f44b4f498f8f8ee3cff36574a642b53676","observation_id":"8c2451cb-4234-41d8-bccb-4cba4b217ae7","resolution":{"observed_at":"2026-08-06T21:54:45.970935Z","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":"2026-08-06T21:54:45.948278Z","title":null,"venue":null,"work_id":"5dbff840-cdf5-4bbd-b01e-c1a3640a766f","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.657127Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:0ac7345515f0ec4ecdeb9d177b33a49a35233bd3ff54fcd094e57ff22b66d36e","observation_id":"cc413c74-62e1-4f9d-b58e-7d796e517fa7","resolution":{"observed_at":"2026-08-06T21:54:45.952939Z","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":"2026-08-06T21:54:45.933046Z","title":null,"venue":null,"work_id":"57fbe3c7-11d1-4c45-87e9-2a5cd4565b63","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.668023Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:7b099bfbbe9158143f37e70e7944373fd369b201852395cfbcbfc083f62e9c2f","observation_id":"1c29498b-2c40-45c4-ba8a-9191d9a52a50","resolution":{"observed_at":"2026-08-06T21:54:45.937888Z","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":"10.1101/2020.04.12.024844","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"0d4a4a2c-362e-445a-80ae-0f2a7baba55e","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.687218Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:e575f521b87a45eb1fa9e383a600ddc361859ffd233ad9742ffcba3758d88bfb","observation_id":"05efb541-b2f1-4f2b-8e10-13a84d60da94","resolution":{"observed_at":"2026-08-06T21:54:44.587029Z","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":"2026-08-06T21:54:45.915659Z","title":null,"venue":null,"work_id":"45da43b6-95af-49dd-850e-983537759b8c","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.700751Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:f4f1b207d3381cb4618faa133375118ec9b647cbd857d50ad9763e85b5065b86","observation_id":"f01c9254-d2ba-4694-8c8a-e42001555d4a","resolution":{"observed_at":"2026-08-06T21:54:45.920253Z","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":"2026-08-06T21:54:45.900099Z","title":"W., Adler, A","venue":null,"work_id":"7bb4112c-dbb6-4897-a7d0-d0b4294337a9","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.706603Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:127b4ff0eee34067cc395bc4ca7e6089e615c6173264dc48f8848bcd8068573a","observation_id":"f6475648-fac6-441d-b043-491e43adbc80","resolution":{"observed_at":"2026-08-06T21:54:45.905069Z","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":"2208.06073","last_updated":"2023-03-30T12:30:46Z","snapshot_observed_at":"2026-08-09T06:52:27.144405Z","submitted_at":"2022-08-12T01:00:59Z","title":"Conditional Antibody Design as 3D Equivariant Graph Translation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.06073","snapshot_observed_at":"2026-08-06T21:54:43.715386Z","title":"& Liu, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.715386Z"},"links":{"cited_paper":"/paper/2208.06073","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:49c09729ceb1f78c580426dbca6406e6d5acae1ac56fa295205f36a96f61e578","observation_id":"e5c7cb04-d7ec-4af1-ac99-56cb51e0e9d4","resolution":{"observed_at":"2026-08-06T21:54:43.715386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.721485Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.721485Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:4528f3f2910db83b301a337318b26277dc9e1eb204740296d3323be13afeb051","observation_id":"b96be183-79c3-4f88-ab75-b9c231e51b06","resolution":{"observed_at":"2026-08-06T21:54:43.721485Z","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":"2026-08-06T21:54:45.882538Z","title":"Interpretable Machine Learning","venue":null,"work_id":"64d17ba0-38a9-4cdc-bb9f-ab2078ac0e80","year":2018},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.727546Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:6346562ca37395ae8742bdf988f2cee48a8550199fa3cd57b171c1082dd12ae4","observation_id":"e2ec99f6-4b48-4d1b-b9c5-cd1c2b2c63e0","resolution":{"observed_at":"2026-08-06T21:54:45.888554Z","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":"10.34133/research.0219","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Research","work_id":"6110deaa-b47c-47e0-b912-0d78fc3b9bdd","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.734348Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:a97f013e6b8f9a1e5a0e13c2a4ea2421f964e83e5073122e6be45e883d24804e","observation_id":"aad40052-d7aa-447d-b6c4-1ac62b486ab5","resolution":{"observed_at":"2026-08-06T21:54:44.532646Z","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":"10.1101/2023.08.15.553228","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"6d975e9b-3ed0-417a-850f-59abb74ad02d","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.746764Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:aeba77fed2df83b2bc80f84eef9a73210c6ebe20f29a72cf77e2435554bbad79","observation_id":"8a52bbe3-be9d-478e-a085-f74fa8e4bc01","resolution":{"observed_at":"2026-08-06T21:54:44.514088Z","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":{"arxiv_id":"2004.10484","last_updated":"2021-09-02T17:57:56Z","snapshot_observed_at":"2026-08-09T11:40:29.938702Z","submitted_at":"2020-04-22T10:43:19Z","title":"Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution","version":2},"cited_work":{"arxiv_id":"2004.10484","doi":"10.48550/arxiv.2004.10484","metadata_source":"pith","pith_arxiv_id":"2004.10484","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution","venue":"cs.CV","work_id":"72b56e92-ae24-47c4-9881-11a86233ca0f","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.754384Z"},"links":{"cited_paper":"/paper/2004.10484","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:4df8aa42c26418b7847357d0e640621e208afa7f32538d51db28461c08047b51","observation_id":"dec0badc-ae68-445c-a6ba-63289962fa78","resolution":{"observed_at":"2026-08-06T21:54:44.484907Z","resolver_source":"local_arxiv","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":"2026-08-06T21:54:45.866134Z","title":"& Yan, Q","venue":null,"work_id":"2da5617c-87f3-466c-81f9-c1163ba7754c","year":2017},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.761523Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:91e8820c3e859be8226143520e0ee3fea7d290975314c0917463c8567b9a44eb","observation_id":"774ab8ff-1a92-4bfd-bd45-3ba92fae8e97","resolution":{"observed_at":"2026-08-06T21:54:45.870842Z","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":"2026-08-06T21:54:45.846408Z","title":"A., Sulam, J","venue":null,"work_id":"147a0472-f586-4010-b60c-1ca00ce6db90","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.769632Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:75f3be4a8988529125cbd728592a262da8601db66ab1ab4d2522c0ed1f2be025","observation_id":"b02e1d09-5119-4a30-8c74-c29679d6b937","resolution":{"observed_at":"2026-08-06T21:54:45.851862Z","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":"2026-08-06T21:54:45.824896Z","title":null,"venue":null,"work_id":"e50026bc-c0b3-4d31-9a56-b4fc78614ae4","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.775767Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:313a7f972c4096b3f22cfc36f7da8b07cbd17c6d73b07bf318d969958e3f5124","observation_id":"8f9d8542-ee27-4516-a449-970bd9a74ae8","resolution":{"observed_at":"2026-08-06T21:54:45.832359Z","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":"10.1007/978-3-030-28954-6_18","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T00:03:56.115653Z","title":"& Unterthiner, T","venue":"Lecture notes in computer science","work_id":"342ed6d9-1680-4c2e-bf21-aea187b73386","year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.788675Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:3353b099432643a1f8849b1c40706fc45dc757b9b9fb3008a7ffb4f4cd8f9b98","observation_id":"f0aaca57-fe24-474d-ba3b-d6bfdc1f1f9a","resolution":{"observed_at":"2026-08-06T21:54:44.452167Z","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":"2026-08-06T21:54:45.808390Z","title":"& Okuno, Y","venue":null,"work_id":"5d6badfe-1df4-44f1-985b-b3ecc964e961","year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.794639Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:dbd2c29285744bbb7d2dbc54b9d2697d17460d76b475ee794b0eb1f93449cd31","observation_id":"4fe76a8e-f3be-47ee-955e-b3a9fb9d34ff","resolution":{"observed_at":"2026-08-06T21:54:45.812985Z","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":"2026-08-06T21:54:45.791962Z","title":"S., Sampson, A","venue":null,"work_id":"92b7d6cc-e967-4bed-ad50-e89a5d549c8b","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.804477Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:3b45bea278f01c9e4b8bc4c43efa79a97ec6015c5c58c71ff6124b220aa96748","observation_id":"2afed392-7b8f-4dcf-9e94-6b0dfb7466a8","resolution":{"observed_at":"2026-08-06T21:54:45.796839Z","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":"10.5194/egusphere-2023-666","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A., Ehsani, M","venue":null,"work_id":"97b29337-70da-4c45-b8e8-46983526db63","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.809852Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:531ee01755f4b5e2e03988b9ad53906d7ffa852fe79cb8c64308a0bd55c58be7","observation_id":"a0f1b674-7a1e-4fb1-806e-5291812a3fcc","resolution":{"observed_at":"2026-08-06T21:54:44.434215Z","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":{"arxiv_id":"1906.03087","last_updated":"2019-06-07T13:29:29Z","snapshot_observed_at":"2026-07-06T07:58:45.137522Z","submitted_at":"2019-06-07T13:29:29Z","title":"Unsupervised Representation Learning of DNA Sequences","version":1},"cited_work":{"arxiv_id":"1906.03087","doi":"10.48550/arxiv.1906.03087","metadata_source":"pith","pith_arxiv_id":"1906.03087","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Unsupervised Representation Learning of DNA Sequences","venue":"q-bio.GN","work_id":"ba939b34-dbd4-4c01-9f18-b350092489eb","year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.817057Z"},"links":{"cited_paper":"/paper/1906.03087","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:3f4e7e481204e9fc7c5d56f2015d670ae2ba9a2c536197a1f1b04b6bcfa6e11d","observation_id":"3a8a9dfb-b3f7-43bf-bc91-8530edbb2bda","resolution":{"observed_at":"2026-08-06T21:54:44.416242Z","resolver_source":"local_arxiv","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":"2026-08-06T21:54:45.773793Z","title":"& Shen, H.-B","venue":null,"work_id":"a428b885-9228-473a-8680-160725ce1d26","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.823181Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:891b9a5d839f581d4cb7629457a4b8de394ff4dd813d9a980b74163d6dc223ab","observation_id":"3b813ac4-ae30-40d4-8da5-fc1a80d6d8f9","resolution":{"observed_at":"2026-08-06T21:54:45.780496Z","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":"2026-08-06T21:54:45.753513Z","title":null,"venue":null,"work_id":"60688f6f-436f-45c5-8dcf-ef64f76cdbf4","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.829068Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:3acedd2c1b28a6007f646c193b9d7e010e5e3343c973179dd269eb8bb5a35ac1","observation_id":"9a443030-a2ce-4798-a6e4-1a0e5cfdfcca","resolution":{"observed_at":"2026-08-06T21:54:45.762004Z","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":"10.1101/2024.06.17.599333","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"66d887c4-707d-4472-85d8-4f09e289e61c","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.837870Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:d77b053102db4d37546fc84639a21df0a17fb54204473ac17605b5a67528639b","observation_id":"e3650392-1130-4a24-881e-8f8ff5ba2fe6","resolution":{"observed_at":"2026-08-06T21:54:44.392011Z","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":"2026-08-06T21:54:45.737034Z","title":null,"venue":null,"work_id":"4859ff46-f004-486d-8970-d1650a6b1b9c","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.844008Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:772672637cc5ac4b90e019069933b20db0a663c674f07f318d69661d17e2ed56","observation_id":"2e03f4e7-38f2-4583-899f-1f104a5d1f23","resolution":{"observed_at":"2026-08-06T21:54:45.742455Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.849542Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.849542Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:8f9d262264db748d3289fe3b4ab31a8a9100bc696831caf69396c68376f6dc51","observation_id":"19d2536b-a63e-41fd-b2a4-3a3b9d13f69c","resolution":{"observed_at":"2026-08-06T21:54:43.849542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02078","last_updated":"2015-11-17T02:42:24Z","snapshot_observed_at":"2026-08-04T02:12:07.668406Z","submitted_at":"2015-06-05T22:33:04Z","title":"Visualizing and Understanding Recurrent Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02078","snapshot_observed_at":"2026-08-06T21:54:43.860629Z","title":"& Fei-Fei, L","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.860629Z"},"links":{"cited_paper":"/paper/1506.02078","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:136c3af3267ff6f5046f35adb53d04388dbb9d9a52cf163e323117596a7cd540","observation_id":"9e725bbf-eee9-420e-87e4-aab5dcea53f8","resolution":{"observed_at":"2026-08-06T21:54:43.860629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.879843Z","title":"Sequential Integrated Gradients: a simple but effective method for explaining language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.879843Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:7bb9804f1c2ed1a337598ffb9f66c223504931f6363fefa366fb60370be415e4","observation_id":"0ef354fc-b623-4bf8-943c-d4b489e962f4","resolution":{"observed_at":"2026-08-06T21:54:43.879843Z","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":"2026-08-06T21:54:45.718382Z","title":"& Bosnić, Z","venue":null,"work_id":"a8b3e3d0-578a-40f2-8aa6-6f7cfa6b3e9f","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.889532Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:4a88daea060cd75f66fb9db71077dc3f805fa0b3a1cda79a6177ba5b0067f5d9","observation_id":"5ef0068e-e18c-43ce-8753-2c94976592b4","resolution":{"observed_at":"2026-08-06T21:54:45.725361Z","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":"2026-08-06T21:54:45.699467Z","title":"& Jha, S","venue":null,"work_id":"cd5f8331-73fa-4987-a39c-cb6751b3dfa0","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.899099Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:4e3ea09f60314f2d7801569e60f3498fe5ef0463664522a10d764a31fa686890","observation_id":"720744c9-3da6-499e-9774-9aff8460ea37","resolution":{"observed_at":"2026-08-06T21:54:45.704835Z","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":"2402.00794","last_updated":"2024-02-07T21:01:16Z","snapshot_observed_at":"2026-07-06T17:23:51.547578Z","submitted_at":"2024-02-01T17:25:51Z","title":"ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00794","snapshot_observed_at":"2026-08-06T21:54:43.905457Z","title":"& Shan, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.905457Z"},"links":{"cited_paper":"/paper/2402.00794","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:81a7a974983ec761614c5027c13196cde7c086edc01822a51cffe0e83ad6136f","observation_id":"7a3846bb-28fb-4116-8a76-b2ede2c0469d","resolution":{"observed_at":"2026-08-06T21:54:43.905457Z","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":"2026-08-06T21:54:45.680221Z","title":null,"venue":null,"work_id":"f3f827de-e649-430f-9a7e-938e27b4d031","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.913990Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:990a5ff31b35cd582bbb6972703e64077fa4a958290643f57eb9561f6c660d17","observation_id":"74f2e321-4b36-4ded-8976-f001f640e3fd","resolution":{"observed_at":"2026-08-06T21:54:45.687231Z","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":{"arxiv_id":"2403.14459","last_updated":"2025-07-23T15:48:23Z","snapshot_observed_at":"2026-07-06T17:48:24.076444Z","submitted_at":"2024-03-21T15:06:14Z","title":"Multi-Level Explanations for Generative Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14459","snapshot_observed_at":"2026-08-06T21:54:43.920282Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.920282Z"},"links":{"cited_paper":"/paper/2403.14459","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:d96a94781c11638c549e641a20395a6f1a946dca92f4d6799eb7aaaf32d1d5b3","observation_id":"9a86b994-4c0d-433b-b73c-b1bb872263ab","resolution":{"observed_at":"2026-08-06T21:54:43.920282Z","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":"2026-08-06T21:54:45.659146Z","title":"& Hess, M","venue":null,"work_id":"9aba7420-e151-4da4-99b3-373f18271dca","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.925696Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:606d328754c1adbd7fde42f1e9af80eb33cff5351fce99c909127a17de338a18","observation_id":"69d3488e-6844-4d9e-9173-fd8ff8bf1e50","resolution":{"observed_at":"2026-08-06T21:54:45.665493Z","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":"2026-08-06T21:54:45.641620Z","title":"A., Adebayo, J., Bravo, H","venue":null,"work_id":"3bff1a68-035c-4dda-b058-da5b8d76e094","year":null},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.930513Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:be1b794d382ee3fb84e09e1ed59c07128f9233b9c8b00a934e13e407e7f573bf","observation_id":"a0076a2e-03a8-49d3-8b97-324a5ba62d99","resolution":{"observed_at":"2026-08-06T21:54:45.646750Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.936572Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.936572Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:b0ee6e9d7ba7a9e68e6a4693ed226bd77298de0ee5784ca4f53880e1bdc0a880","observation_id":"13b6da9f-0dd7-482d-af10-163b9b89fae0","resolution":{"observed_at":"2026-08-06T21:54:43.936572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:43.942527Z","title":"Z., Glassman, E","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.942527Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:b0de6d34e78856ce35e8352db23fecd751ac020b07cd891d0d5af78a1cebe2d2","observation_id":"c6023c6f-3cd0-44c7-89da-63e0e1fe5e1c","resolution":{"observed_at":"2026-08-06T21:54:43.942527Z","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":"2026-08-06T21:54:45.623472Z","title":"& Hotho, A","venue":null,"work_id":"bb434453-38c0-434e-8c20-cbf9bdd4b7eb","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.952576Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:5f9199332161b3c48f1f79cad5ca3d43357ddd6aff56cd1e7c0e768f40353185","observation_id":"198c588c-b191-423a-81fb-922328eb7258","resolution":{"observed_at":"2026-08-06T21:54:45.628109Z","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":"2026-08-06T21:54:45.602907Z","title":null,"venue":null,"work_id":"c3a5b34b-271c-4c95-ab28-3a2556937bc7","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.958597Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:8cd9c43e3681a57dc3b2a5afaf2c2c5206f0bc33af17a92f34013936dc5c9a37","observation_id":"21410374-7ae5-40d8-b177-6943cf97a5bf","resolution":{"observed_at":"2026-08-06T21:54:45.608914Z","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":"2026-08-06T21:54:45.581517Z","title":null,"venue":null,"work_id":"f8c765d5-f25a-42a8-bc06-683beb881fae","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.964789Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:3c90961cad747b126fd516aa7a51f27d934649e513e16557f205812d240fbc0d","observation_id":"3a8a9379-fb9f-4540-9d21-6245203b3c45","resolution":{"observed_at":"2026-08-06T21:54:45.587420Z","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":"2026-08-06T21:54:45.561240Z","title":"& White, A","venue":null,"work_id":"0088006c-d688-4711-9f3e-d95e69df1a11","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.969765Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:1671a6c7dd5cc93dc20fba03aefa84a56890ede38d0a4c47392ed7d85a75799d","observation_id":"7f45cc5a-96b4-4e9b-807f-6e59dfbc886d","resolution":{"observed_at":"2026-08-06T21:54:45.565404Z","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":"2026-08-06T21:54:45.545714Z","title":null,"venue":null,"work_id":"0ac46eca-33d6-4e4a-b382-3bdba43b89d2","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.977532Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:8b76fd78c34c709ca9f3ab1536bf14874b9c78ad83daccbc5487a9b4e740cd8d","observation_id":"7269efc3-8f3e-4bf6-9536-2186bbef85af","resolution":{"observed_at":"2026-08-06T21:54:45.550437Z","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":"2026-08-06T21:54:45.529404Z","title":null,"venue":null,"work_id":"3f4bcd75-aa56-4a40-9e74-18810fa50d44","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.985699Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:b43acc44d5346fc848bfb1405ee1ea646191221cbc25de5aab4674a5f53a9748","observation_id":"95c0dd3e-ae2b-491b-9d7e-202771f32e0e","resolution":{"observed_at":"2026-08-06T21:54:45.533656Z","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":"2026-08-06T21:54:45.513958Z","title":"& Rayalu, G","venue":null,"work_id":"40d14ff0-389e-46bb-b194-4b372f0073a8","year":2013},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.991202Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:fda860ca23c8c593d068724e9ed0e436a565fd69bdb91e3b09f88de203fc4245","observation_id":"93b23703-3ac8-435a-89b6-516db2a7144b","resolution":{"observed_at":"2026-08-06T21:54:45.518606Z","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":"2026-08-06T21:54:45.496105Z","title":null,"venue":null,"work_id":"614f607d-2b7e-4714-bfbf-0ab900b79dad","year":2016},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.996457Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:92f381bd547248ffafda4899ba71fdfcb1fa020c5f32174614938a5ebb6a7f0c","observation_id":"9b1fcdd6-8557-4352-844d-cccd5596a040","resolution":{"observed_at":"2026-08-06T21:54:45.500454Z","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":"2026-08-06T21:54:45.479852Z","title":"H., Greiff, V., Karatt-Vellatt, A., Muyldermans, S","venue":null,"work_id":"e3526627-6e90-4d0b-b3b6-7fc4cab6b6bb","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.001819Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:664be1b692b4431bda3962586559f746849194a7486969cc4eaa33bfb1c62ae3","observation_id":"78545c84-13ed-4612-b95f-d303ece91bdf","resolution":{"observed_at":"2026-08-06T21:54:45.485793Z","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":"2026-08-06T21:54:45.462583Z","title":"Drug development: the journey of a medicine from lab to shelf","venue":null,"work_id":"2ff1a4ac-929d-4bf7-8b58-03f786baba65","year":2015},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.008791Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:a187d23ed7b2ca213a6a2df1ea51dc1b53a80cb28d838945566747159ae07a65","observation_id":"4df1d172-70bf-48d0-a94d-bb34bf804ef0","resolution":{"observed_at":"2026-08-06T21:54:45.467471Z","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":"2026-08-06T21:54:45.447686Z","title":null,"venue":null,"work_id":"bf15c613-ffea-4cd5-bb17-ef198fd2fd48","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.013797Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:b6e5545d045a9168b1a09da7fc6ff7912d8e97714ba7c988422d9618b84a16a9","observation_id":"1af0bb7f-2690-435b-b5ea-e5fed11cf563","resolution":{"observed_at":"2026-08-06T21:54:45.452567Z","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":"2026-08-06T21:54:45.432437Z","title":null,"venue":null,"work_id":"33d73f76-c33a-440e-a04e-04798fb53bb8","year":2023},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.019747Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:1ef97a5fe384e464fb1ade3743288705ade59cd19afec918098cec10e7055ac4","observation_id":"d9baeea9-8c4d-4436-895f-47b0cef8227b","resolution":{"observed_at":"2026-08-06T21:54:45.437454Z","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":"2026-08-06T21:54:45.416750Z","title":null,"venue":null,"work_id":"bf260f26-4957-482c-90bd-32a782c72f31","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.024881Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:1041780239118732f2cdee80168f49a9cd65272127e7663b5d7cbbc79887af66","observation_id":"d96c5893-9206-4377-93de-b8592911db24","resolution":{"observed_at":"2026-08-06T21:54:45.421688Z","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":"2026-08-06T21:54:45.399171Z","title":null,"venue":null,"work_id":"5cb10224-cd5f-4960-9e0f-ce1383853e11","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.030855Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:45d89cc24e1b02063e22b8683ef582db44bfeef132c5bd204ed08d9c098db970","observation_id":"38dd1f80-964e-4a33-a000-aebea0f54217","resolution":{"observed_at":"2026-08-06T21:54:45.404108Z","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":"2026-08-06T21:54:45.368200Z","title":null,"venue":null,"work_id":"3b8b9445-0894-4c33-ab79-23b5b5de2776","year":2014},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.036714Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:c91a84b8276433ebbfcdce88d526309ebedf0104219500dd44ec93d8c92f5f51","observation_id":"fc21f84b-75c6-484e-b60e-562aec88f549","resolution":{"observed_at":"2026-08-06T21:54:45.381604Z","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":"2026-08-06T21:54:45.333985Z","title":"& Schmidhuber, J","venue":null,"work_id":"ad2f17cd-66b6-4c22-880e-efbae8d64c13","year":2003},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.042270Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:493210a1f9c6d6baf917c43ec3ea27e54231ca809b58966439bbb4bc4a50f9eb","observation_id":"f4b7dafa-305b-431c-9eff-2b517294854c","resolution":{"observed_at":"2026-08-06T21:54:45.342958Z","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":"2026-08-06T21:54:45.303428Z","title":"& Davis, J","venue":null,"work_id":"5ba57529-f224-41ee-8354-0290afdc4c80","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.048328Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:e70592941011aeb51dd6c897ae10ddc268a9f8fc75e356e96d6fccb6812ebf8c","observation_id":"b757f3dd-98a2-40f6-8273-0b299103937b","resolution":{"observed_at":"2026-08-06T21:54:45.313014Z","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":"2008.47467","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:44.870270Z","title":"& Lee, W","venue":null,"work_id":"63a0b103-2804-4794-b3bc-a680e391d2bf","year":2008},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.054043Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:325af815d8a49190d31b17cd7619a0325d697141c34ee516f90cb93128c313ff","observation_id":"4a44f332-1168-4e80-971e-f385e3797f0d","resolution":{"observed_at":"2026-08-06T21:54:44.880712Z","resolver_source":"raw_fallback","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":{"arxiv_id":"1010.0772","last_updated":"2010-10-05T06:03:09Z","snapshot_observed_at":"2026-07-06T02:16:15.421430Z","submitted_at":"2010-10-05T06:03:09Z","title":"A bagging SVM to learn from positive and unlabeled examples","version":1},"cited_work":{"arxiv_id":"1010.0772","doi":"10.48550/arxiv.1010.0772","metadata_source":"pith","pith_arxiv_id":"1010.0772","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A bagging SVM to learn from positive and unlabeled examples","venue":"stat.ML","work_id":"0448f1b2-b69a-4f75-ad64-273aae7d4635","year":2010},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.061298Z"},"links":{"cited_paper":"/paper/1010.0772","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:415ef51d0fad5a1eabce5d2a845902fd44646bf56b90e22611438cc7531f8ec8","observation_id":"fdfa9e39-874e-4cbc-849f-edb68db82475","resolution":{"observed_at":"2026-08-06T21:54:44.297284Z","resolver_source":"local_arxiv","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":{"arxiv_id":"2402.08703","last_updated":"2024-06-26T11:03:21Z","snapshot_observed_at":"2026-08-07T05:23:35.207561Z","submitted_at":"2024-02-13T16:56:31Z","title":"A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation","version":2},"cited_work":{"arxiv_id":"2402.08703","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.08703","snapshot_observed_at":"2026-08-06T21:54:44.707589Z","title":"A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation","venue":"q-bio.BM","work_id":"883bbd90-5d6d-440a-b74a-ff28765a48f5","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.067446Z"},"links":{"cited_paper":"/paper/2402.08703","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:bdfb1a884066c85b657a16c0c319f42f1a5b5c5cefe539d152024e8ac28978ec","observation_id":"f6d496a0-5ecc-44db-a1d7-b64f314bf059","resolution":{"observed_at":"2026-08-06T21:54:44.714917Z","resolver_source":"local_arxiv","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":{"arxiv_id":"2404.09554","last_updated":"2024-04-15T08:18:16Z","snapshot_observed_at":"2026-08-09T10:56:18.813334Z","submitted_at":"2024-04-15T08:18:16Z","title":"Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda","version":1},"cited_work":{"arxiv_id":"2404.09554","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.09554","snapshot_observed_at":"2026-08-06T21:54:44.671328Z","title":"Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda","venue":"cs.AI","work_id":"088fd0f2-6b10-487b-8cae-a4cf94a4b002","year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.073688Z"},"links":{"cited_paper":"/paper/2404.09554","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:7d4e12c366ba33dcb521af434228004edd0eb4c638fcefff0ec052f42143d223","observation_id":"e1f4397b-d9e3-4433-87c4-171dcfebba30","resolution":{"observed_at":"2026-08-06T21:54:44.676773Z","resolver_source":"local_arxiv","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":"2026-08-06T21:54:45.284850Z","title":"S., Farmery, J","venue":null,"work_id":"85f6c5bb-d4e6-400e-9c6d-2f6584c49075","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.080327Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:0cf11be63cc218b85aaca7647c06427b4f7976cbeedda97f146a40c3779021be","observation_id":"3da34858-79b6-4e60-a206-386f1f3f292b","resolution":{"observed_at":"2026-08-06T21:54:45.291170Z","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":"2402.03823","last_updated":"2024-02-06T09:10:44Z","snapshot_observed_at":"2026-07-06T17:26:06.498544Z","submitted_at":"2024-02-06T09:10:44Z","title":"Learning immune receptor representations with protein language models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03823","snapshot_observed_at":"2026-08-06T21:54:44.086319Z","title":"& Yermanos, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.086319Z"},"links":{"cited_paper":"/paper/2402.03823","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:78634a88250d909e80dcf5b23d7da5b5c2782db768b80b37ef49e0d84ca9e516","observation_id":"ed245efd-4a90-427e-a06e-2b6a64f0770b","resolution":{"observed_at":"2026-08-06T21:54:44.086319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04517","last_updated":"2024-12-06T15:42:07Z","snapshot_observed_at":"2026-08-07T15:21:45.322877Z","submitted_at":"2024-05-07T17:50:21Z","title":"xLSTM: Extended Long Short-Term Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04517","snapshot_observed_at":"2026-08-06T21:54:44.091942Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.091942Z"},"links":{"cited_paper":"/paper/2405.04517","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:c682823b9fe132369bc7a01955943f032ae162678ea526fb54c7ca05b4ff040b","observation_id":"c8b1bb44-2e0f-4dcd-ba32-64e2a10f02ec","resolution":{"observed_at":"2026-08-06T21:54:44.091942Z","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":"2026-08-06T21:54:45.267264Z","title":null,"venue":null,"work_id":"2475e218-2292-4cff-8eab-e5b8090f8ad2","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.104639Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:7cd3a095f8072e76bbc959e2f8e86bcd6e9fa8a66bfd91c817f8bbbf5d07d1b5","observation_id":"5e071582-3638-4221-b082-648049b3bfee","resolution":{"observed_at":"2026-08-06T21:54:45.273502Z","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":"2026-08-06T21:54:45.239356Z","title":null,"venue":null,"work_id":"b33e171b-f181-445b-988d-21b946c297dd","year":2022},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.110297Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:9aa24177da0badfb4f3e39c26cfbbc9c2bad3f7351a93faf153bf0e2dbed52db","observation_id":"9b7fd235-a829-4cf3-a303-f5366cedc3f6","resolution":{"observed_at":"2026-08-06T21:54:45.245981Z","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":"2026-08-06T21:54:45.215345Z","title":"M., Kinney, J","venue":null,"work_id":"14525fa7-40bd-4f98-be78-cdf173038524","year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.115980Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:d317644556c847f82cff363a01cde7c6568d7a398a2a361606747d65e4d43fc5","observation_id":"d5356960-bc43-41a9-ba8c-527584c4bb61","resolution":{"observed_at":"2026-08-06T21:54:45.225667Z","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":"2026-08-06T21:54:45.192085Z","title":null,"venue":null,"work_id":"b2e49022-8c12-4d5e-894a-9ed43899eaf3","year":2018},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.121466Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:b9eea27025a5a06e85b07e690eff059046106de6e24380325c54533ff41b1728","observation_id":"501452ef-0556-4aee-aaf1-c788d72a70dc","resolution":{"observed_at":"2026-08-06T21:54:45.201225Z","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":"2026-08-06T21:54:45.158981Z","title":"Machine Learning Analysis of Naïve B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls","venue":null,"work_id":"27b78cb8-2179-4641-b77c-6b47a4fc7326","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.127445Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:442056bd377085803ebc33e5834775218e1d20fdfd63c9bfcd901b9454a0cb99","observation_id":"3b2a12b1-dd01-41af-b3a8-327e28c95e04","resolution":{"observed_at":"2026-08-06T21:54:45.166144Z","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":"2026-08-06T21:54:45.131994Z","title":null,"venue":null,"work_id":"d67aecbb-244a-414e-ad19-5bd75383742d","year":2015},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.132526Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:ea198221924350ccfc149a72d2404a668da8698135c0ab754b33796e83e2fadf","observation_id":"e4a2cbc4-ac10-43e8-abaf-e7ff7a6c02ce","resolution":{"observed_at":"2026-08-06T21:54:45.137576Z","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":"10.1101/635029","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"& Kinney, J","venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"2e415deb-a611-433e-b72c-b1b0b9ea9954","year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.137271Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:d8469c472a2d8e1d48bff196d9c191fae6b7527ae33e04a9bc7f2772c10c37f3","observation_id":"2d849342-04bd-42a3-bd64-1c775f3a1b35","resolution":{"observed_at":"2026-08-06T21:54:44.233654Z","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":"2026-08-06T21:54:45.105848Z","title":null,"venue":null,"work_id":"61d66f4d-2a67-47ed-bd6d-8e9d6bfabaee","year":2021},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.142062Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:b264875deb6345482943ad5dbe8c13b9590700251f170b411b9bc995fc35f09c","observation_id":"1cf45000-c18d-415a-814a-c572c3d155fa","resolution":{"observed_at":"2026-08-06T21:54:45.113917Z","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":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-06T21:54:44.148858Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.148858Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:01ac031e730c226e798ce6076883fe6690dca08670d0ad2d0b684d251df196aa","observation_id":"3656f6fc-948b-40ba-acae-5d2bf92c7a22","resolution":{"observed_at":"2026-08-06T21:54:44.148858Z","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":"2026-08-06T21:54:45.086191Z","title":null,"venue":null,"work_id":"592f9c98-d10b-4990-bcc2-70bad488b359","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.153887Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:5b64adaa2a932566c5cdb7844387dae7d7c993e8d1df3d0f07bd7f4c0a9435fb","observation_id":"9a83ad4f-3b73-4d30-8c9a-4a648d72edf7","resolution":{"observed_at":"2026-08-06T21:54:45.092512Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:44.159825Z","title":"Data Structures for Statistical Computing in Python","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.159825Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:8c62e6afbc146c4f974ed55769fa417a5638b23b690d719ba3fcfc2a47a96652","observation_id":"279a1bb6-c04e-44b4-8294-7e3b9d0ae77a","resolution":{"observed_at":"2026-08-06T21:54:44.159825Z","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":"2026-08-06T21:54:45.065855Z","title":null,"venue":null,"work_id":"ce523697-a41d-422a-ad36-fb4ef5231c61","year":2020},"citing_paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:44.165403Z"},"links":{"citing_paper":"/paper/2506.23182"},"observation_digest":"sha256:5085d21d0820d8799ff9816203139a736b84fd60d153639a711e294c60aebc99","observation_id":"56849366-4b19-4c3c-b632-00a383870c53","resolution":{"observed_at":"2026-08-06T21:54:45.071183Z","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"}}],"paper":{"arxiv_id":"2506.23182","last_updated":"2025-07-11T14:05:02Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T01:07:31.993061Z","submitted_at":"2025-06-29T10:50:46Z","title":"Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data"},"reference_resolution":{"displayed":94,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":57,"verified_exact":12,"verified_fuzzy":24},"total_outbound_references":94},"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 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2506.23182."}