{"as_of":"2026-08-16T01:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:148ad462a55b2a3f2b0776feacd11287096a5c14d1803bacaf1ec4224d80a64a","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-09T16:02:19.673125Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2607.07264/citation-record","integrity":"/paper/2607.07264/integrity","json":"/paper/2607.07264/citation-record.json","paper":"/paper/2607.07264"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:06:20.276892Z","title":"Network dissection: Quantifying inter- pretability of deep visual representations","venue":null,"work_id":"81bdb15f-f050-4415-9c8f-aa2cb623ecdd","year":2017},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:a853abf88e337d86dfa029267b2db0eb96b27289706128a96efda900d4845953","observation_id":"289f2a91-7c6f-4731-8967-0a53a4c650b7","resolution":{"observed_at":"2026-07-09T16:06:20.278440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.291856Z","title":"Show and tell: Visually explainable deep neural nets via spatially-aware concept bot- tleneck models","venue":null,"work_id":"0d82ee87-816b-4cf2-8a05-cc9dcc08e93b","year":2025},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:b8d13ae82a595beefb3b4ceaabfe25e39b2c13eab25e18b553753c33e0c06510","observation_id":"99723147-7846-4f36-a0fb-772748630d16","resolution":{"observed_at":"2026-07-09T16:06:20.293452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.284017Z","title":"Face: Faithful automatic concept extraction","venue":null,"work_id":"6d2572d9-282b-4463-b802-69b7f59b0a3f","year":2025},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:170a4004b3b8105ee02c72253461e1af394238d5d52b7455e3179982ea256ad4","observation_id":"e6642720-fac7-4303-a5c2-babadb25fe38","resolution":{"observed_at":"2026-07-09T16:06:20.285535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.281789Z","title":"Svd based ini- tialization: A head start for nonnegative matrix factorization","venue":null,"work_id":"33c215a6-5281-4ff6-9f29-bb7333026bea","year":2008},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:2e76070294544555ba5740a1a0edf99fed8317b6eb3c8727d394229391e425ef","observation_id":"819230ee-5766-4f49-8cb0-e9f0065ad98a","resolution":{"observed_at":"2026-07-09T16:06:20.283408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.263018Z","title":"What i cannot predict, i do not understand: A human- centered evaluation framework for explainability methods","venue":null,"work_id":"57046db6-0039-4cb9-9b04-3e479812150b","year":2022},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:e75451396dd17df568775d90cd3b6abc597e2042231b9bde83d2f26660744443","observation_id":"736d073a-ff7d-4eb4-8a2e-1e67d2e94c9c","resolution":{"observed_at":"2026-07-09T16:06:20.264696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.260360Z","title":"Craft: Concept recursive activation factoriza- tion for explainability","venue":null,"work_id":"c134b5f8-0f88-4cf1-a6f6-a85ba526c8fb","year":2023},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:c3f620e8c408f4852911dbe58176bbcdb6d9b92cd1034a992d85fc65a4587e24","observation_id":"df2ae4bb-efd3-4c13-86bf-b90515726fda","resolution":{"observed_at":"2026-07-09T16:06:20.262361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.279129Z","title":"Towards automatic concept-based explanations.Ad- vances in neural information processing systems, 32","venue":null,"work_id":"2847eeee-e008-4e79-b447-23ac36288f20","year":2019},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:f070b80f843dec98aca8f71b73285f688203fbc69c48e35f69fc6ff3aede4e6f","observation_id":"8fd28372-0aee-4c18-b441-3f57c45d400c","resolution":{"observed_at":"2026-07-09T16:06:20.280840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.270380Z","title":"Natu- ral language descriptions of deep visual features","venue":null,"work_id":"85dbe823-6072-4a49-aadc-6e6f88e04d7f","year":null},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:67b0a04e9d63ce34aaac6170c96da401c1657a365217dcffd0fcddc7f3603eac","observation_id":"810923d4-aa91-4b01-a7ff-9e1b815bd22f","resolution":{"observed_at":"2026-07-09T16:06:20.271934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.270545Z","title":"Interpretability be- yond feature attribution: Quantitative testing with concept activation vectors (tcav)","venue":null,"work_id":"88c43ea1-607f-46a3-903f-a5fd9dffb448","year":2018},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:6c2ce32ec78d16ef40b7501237d7a3dcc3c6a663189b72ab127f82739a4fe700","observation_id":"72469b7a-0c4c-42b6-818f-2009a378d623","resolution":{"observed_at":"2026-07-09T16:06:20.272135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.315510Z","title":"Concept bottleneck models","venue":null,"work_id":"763c76f7-af97-4175-ba56-85ba1e96fea7","year":2020},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:4e38f32e293cc990e364ffefcf72939a4a3510bc6c1ae5a9bd7548a2d1c1dd88","observation_id":"b4755cd3-7286-4aa8-a319-5a133afcf8f8","resolution":{"observed_at":"2026-07-09T16:06:20.316748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.317302Z","title":"The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.Queue, 16(3):31–57, 2018","venue":null,"work_id":"a4586674-3a60-47b3-ad3e-db8da1727e6e","year":2018},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:e5b7bdd54d64f2f956181fad0293f1ca8588cc6971e641e3e1353aa39f3e2984","observation_id":"52666593-b3d2-4120-870b-742e31686f06","resolution":{"observed_at":"2026-07-09T16:06:20.318776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.10882","last_updated":"2019-07-28T11:40:03Z","snapshot_observed_at":"2026-08-12T17:06:58.436617Z","submitted_at":"2019-07-25T07:53:00Z","title":"Interpretability Beyond Classification Output: Semantic Bottleneck Networks","version":2},"cited_work":{"arxiv_id":"1907.10882","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.10882","snapshot_observed_at":"2026-07-09T16:06:20.122322Z","title":"Interpretability Beyond Classification Output: Semantic Bottleneck Networks","venue":"cs.CV","work_id":"6178b92e-cb16-4e73-99bd-0ec64a5cc052","year":2019},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"cited_paper":"/paper/1907.10882","citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:763bf5a0a764daee3def5698a25244b15b2e4a591577bcb9b185485a91ac34e5","observation_id":"c25d5f4c-8d60-4902-8dd7-3728b5f2d9a6","resolution":{"observed_at":"2026-07-09T16:06:20.126700Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.311417Z","title":"General pitfalls of model-agnostic interpretation methods for machine learning models","venue":null,"work_id":"3f65dfe3-1fe3-4e1d-9ef1-d1ab400096bd","year":2020},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:cec4b07452587c5e36999c3bef0cfb1f35ee4284baa0a264afc6b9c990b4a5b8","observation_id":"fab705de-19ba-42ea-a6b5-bf42e30150d2","resolution":{"observed_at":"2026-07-09T16:06:20.312838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.313544Z","title":"The ef- fectiveness of feature attribution methods and its correlation with automatic evaluation scores.Advances in Neural Infor- mation Processing Systems, 34:26422–26436, 2021","venue":null,"work_id":"cffc0b1f-60e7-4819-b6b1-e2f8ee2de853","year":2021},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:652d8cb1f7690a79a4a1f88b3e11494160ea2ce6fea2c99154fdcb700f3abdf9","observation_id":"caeb69b5-5156-44e6-a551-09ae96f51dd9","resolution":{"observed_at":"2026-07-09T16:06:20.314925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.319420Z","title":"CLIP-Dissect: Au- tomatic description of neuron representations in deep vision networks","venue":null,"work_id":"2fed586f-a46d-4cad-b0a6-af88a89e0425","year":2023},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:171e50eecbc2a2a9d48580e9e62c0b78228147ac5be7c837f23a674c20579444","observation_id":"23303b41-a0e2-48e2-8537-4bdfded247de","resolution":{"observed_at":"2026-07-09T16:06:20.320670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.323450Z","title":"Label-free concept bottleneck models.Inter- national Conference on Learning Representations (ICLR),","venue":null,"work_id":"abeafd17-762a-4484-b776-93e2e6b943c2","year":null},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:b035e90d5f7c609e48615f7bf5f7cb2e6e7bc7c6b5765ed9f49c3f22ab1ffc3a","observation_id":"b866d18a-9973-4d76-8265-d92f11af25e0","resolution":{"observed_at":"2026-07-09T16:06:20.324832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.325501Z","title":"Rise: Random- ized input sampling for explanation of black-box models","venue":null,"work_id":"34f08042-54a0-4189-92a2-140882582209","year":2018},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:724e454db4472e6d1e65144d6a3c8d2abc7463af5cecb86add045c2cf8a7e63e","observation_id":"6e8a5668-a411-436b-b94b-fc02edd77357","resolution":{"observed_at":"2026-07-09T16:06:20.326787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.313807Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":"ee6b8956-3ac5-4cbe-9ab5-9c2078e5a407","year":2021},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:2a10ae95b8e28a5639c3bc5efd8a03ec758a13361cdc7e38e9168d2f28b654ca","observation_id":"e3c7904e-0c0b-43ba-802d-f798cec7028a","resolution":{"observed_at":"2026-07-09T16:06:20.315197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.307144Z","title":"Stop explaining black box machine learn- ing models for high stakes decisions and use interpretable models instead.Nature machine intelligence, 1(5):206–215","venue":null,"work_id":"7405dc30-a8e3-4669-a9e3-717567b2c889","year":null},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:001664332ea05da0a728d569bd385daf5a7034f4475bd359e2a9e205cdb134a8","observation_id":"f960a210-b627-4dec-920e-4616668b4518","resolution":{"observed_at":"2026-07-09T16:06:20.308746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.296414Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","venue":null,"work_id":"d0a77b83-9387-417a-b754-57e01afab5ef","year":null},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:94ea1b66763c40d62201e44200ad7d988d5c96644ea90d802627ac27bd32a836","observation_id":"d9209762-a92c-4963-86c1-1207f9437653","resolution":{"observed_at":"2026-07-09T16:06:20.298307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.294154Z","title":"What does clip know about a red circle? vi- sual prompt engineering for vlms","venue":null,"work_id":"ee8c98e5-eca1-4b9c-8812-2e7839e77c49","year":2023},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:535976a64eeb7097cef7d85cf973227e5ee3ad37d1c42c43a9fbea4a6443a685","observation_id":"1b94dbae-b384-4a69-a65a-5d9475a1a6f2","resolution":{"observed_at":"2026-07-09T16:06:20.295698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.299309Z","title":"Deep inside convolutional networks: Visualising image clas- sification models and saliency maps","venue":null,"work_id":"f2044fd4-cc7e-4e0c-9f1a-50c9c175adeb","year":2014},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:bf23ab0698ec05f2f7569a1ebdc61a15e73cf3d7cb208f8be2c5538e4df4c3f1","observation_id":"77fac8b3-c812-4fac-8b7e-42728b0737b5","resolution":{"observed_at":"2026-07-09T16:06:20.303713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03825","last_updated":"2017-06-12T19:53:30Z","snapshot_observed_at":"2026-08-14T20:54:30.978618Z","submitted_at":"2017-06-12T19:53:30Z","title":"SmoothGrad: removing noise by adding noise","version":1},"cited_work":{"arxiv_id":"1706.03825","doi":"10.48550/arxiv.1706.03825","metadata_source":"pith","pith_arxiv_id":"1706.03825","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SmoothGrad: removing noise by adding noise","venue":"cs.LG","work_id":"9fe7734e-4726-441f-abc1-88bbce75815c","year":2017},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"cited_paper":"/paper/1706.03825","citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:bf8240fea37bd6567907f340af68704eb6456f98b093f4f2cd7d8954408562a7","observation_id":"c8ab7db6-880b-4416-b1c7-13482250ff0a","resolution":{"observed_at":"2026-07-09T16:06:20.121002Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.292674Z","title":"Axiomatic attribution for deep networks","venue":null,"work_id":"16a51c9e-e126-45d6-9fe2-639b1f7176c1","year":2017},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:4186366ebb409d415ebbf3fb851d7d245c5354a303489c07c245b5e075425a91","observation_id":"db978a38-0c32-44a9-bdea-a0a9f332ed5c","resolution":{"observed_at":"2026-07-09T16:06:20.293914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.317777Z","title":"Discovering and mitigating biases in clip-based image editing","venue":null,"work_id":"060f3e20-399f-451a-a63b-f8f91d996398","year":2024},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:4ea0ca5007e5de1e08720b1210213c23d60d9c7d601e8ccfe4a4b6a3ffd733ad","observation_id":"f7fbee07-7596-49d7-b9de-44a029e64b9e","resolution":{"observed_at":"2026-07-09T16:06:20.319204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.309295Z","title":"Learning bottleneck concepts in image classification","venue":null,"work_id":"60826e72-9958-4938-aaa8-f85a9af5d7ac","year":2023},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:66fcc1b3502f87a52a04dfc9de766de2210a147363fdb2a1bf2612c803bf7c8b","observation_id":"8f4c65d9-7b63-4fb8-a439-7265b575a2d1","resolution":{"observed_at":"2026-07-09T16:06:20.310705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.321396Z","title":"Explain- ing deep convolutional neural networks via latent visual- semantic filter attention","venue":null,"work_id":"c2a0b96d-f975-4b88-ad55-5aed70c2f795","year":2022},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:c2c6344ced8847e139cf81a3838f04101be57d4f311aa2a4e2656ae4804b4051","observation_id":"7cf0ce78-b00f-41c5-8cd3-c8350929b901","resolution":{"observed_at":"2026-07-09T16:06:20.322610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.277094Z","title":"{class_name}","venue":null,"work_id":"8b25d773-a6b8-45fa-988e-6665596a40b3","year":2021},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:08dae37d90ffeb49dba19187bc4dfd0502d6197f1963859abf04aaf32cfb1cfe","observation_id":"1db9d35e-9f22-4a0b-b794-e8abac4ed576","resolution":{"observed_at":"2026-07-09T16:06:20.278164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T16:06:20.272505Z","title":"skin irregularity","venue":null,"work_id":"6119754d-b876-47ca-b370-3b6880ecbdfe","year":null},"citing_paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-09T16:02:19.673125Z"},"links":{"citing_paper":"/paper/2607.07264"},"observation_digest":"sha256:9414fb0e53489314f87ef0a07c3610760a6f2bbd9509ec497fefb372d8cbdd55","observation_id":"36eec6f1-ae63-4186-bd9b-ff8249863a8d","resolution":{"observed_at":"2026-07-09T16:06:20.274014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.07264","last_updated":"2026-07-08T10:50:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T17:07:44.616452Z","submitted_at":"2026-07-08T10:50:04Z","title":"Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":27},"total_outbound_references":29},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.07264."}