{"as_of":"2026-08-09T20:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:38e1747156508e8856a5be678448d574192430522c69f4092622e5ee23c16f46","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:43:35.004548Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":9,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-07T14:43:35.004548Z","title":"and Weng, T.-W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17883","last_updated":"2025-05-23T13:31:54Z","snapshot_observed_at":"2026-08-09T18:47:01.994443Z","submitted_at":"2025-05-23T13:31:54Z","title":"FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T14:43:35.004548Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2505.17883"},"observation_digest":"sha256:a2cd210b6feeeed617140fe1607d02dd3eaa51af8787c3e75c34f1fc954f4730","observation_id":"c0497548-ea4d-4a3c-9ef6-aa9d6d5c5071","resolution":{"observed_at":"2026-08-07T14:43:35.004548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2506.01247","last_updated":"2026-05-26T21:34:46Z","snapshot_observed_at":"2026-08-07T11:44:23.107478Z","submitted_at":"2025-06-02T01:51:20Z","title":"Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-19T11:35:01.836096Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2506.01247"},"observation_digest":"sha256:196637eeb16756a384dd42bf8c473fc9dbdb0afdec2ce7eae411926c83154177","observation_id":"43b3708c-c15d-472f-9c03-f06b9d5671b3","resolution":{"observed_at":"2026-05-19T11:37:15.812420Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-07T11:53:50.320767Z","title":"Clip-dissect: Automatic description of neuron representations in deep vision networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.01247","last_updated":"2026-05-26T21:34:46Z","snapshot_observed_at":"2026-08-07T11:44:23.107478Z","submitted_at":"2025-06-02T01:51:20Z","title":"Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T11:53:50.320767Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2506.01247"},"observation_digest":"sha256:4a7d3b7242a1ab575186a49f239d2124a0656e4a8ea04ed519034c0a5fe93744","observation_id":"8c8995bd-e16c-4ee8-9651-2bec9d0a069a","resolution":{"observed_at":"2026-08-07T11:53:50.320767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-03T17:41:52.717620Z","title":"Clip-dissect: Au- tomatic description of neuron representations in deep vision networks.arXiv preprint arXiv:2204.10965, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.08560","last_updated":"2026-06-03T22:03:54Z","snapshot_observed_at":"2026-08-06T16:59:53.724906Z","submitted_at":"2025-12-09T13:01:17Z","title":"BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T17:41:52.717620Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2512.08560"},"observation_digest":"sha256:69038848aaacde25c040c7fcc5a414b66f0296bb0d027dc4534f4fdc736c6a93","observation_id":"7a19e4ee-39ae-4969-8fd7-85bc86db6475","resolution":{"observed_at":"2026-08-03T17:41:52.717620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2602.24176","last_updated":"2026-05-25T13:57:02Z","snapshot_observed_at":"2026-08-02T20:04:31.237597Z","submitted_at":"2026-02-27T16:58:27Z","title":"Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions","version":4},"reference_index":280,"source":"pdf_text","source_observed_at":"2026-05-15T18:50:52.313363Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2602.24176"},"observation_digest":"sha256:8e9a25506fba40843fb4020626f0da42beeae4ca8a10211b1e8207926741c187","observation_id":"7bbd6748-d173-4ec2-aacf-f437d7beeb56","resolution":{"observed_at":"2026-05-15T18:51:29.659733Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-02T20:04:34.085730Z","title":"Oikarinen and T.-W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.24176","last_updated":"2026-05-25T13:57:02Z","snapshot_observed_at":"2026-08-02T20:04:31.237597Z","submitted_at":"2026-02-27T16:58:27Z","title":"Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions","version":5},"reference_index":280,"source":"pdf_text","source_observed_at":"2026-08-02T20:04:34.085730Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2602.24176"},"observation_digest":"sha256:737eb3d509db35bb8ae3f19d7bdce65aee559e1bf674049a57615d1c74efd751","observation_id":"31c501c4-de49-491a-bf3d-44e905dae108","resolution":{"observed_at":"2026-08-02T20:04:34.085730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2604.02468","last_updated":"2026-04-02T19:02:59Z","snapshot_observed_at":"2026-08-02T11:32:43.904368Z","submitted_at":"2026-04-02T19:02:59Z","title":"Hierarchical, Interpretable, Label-Free Concept Bottleneck Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T21:10:36.948753Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2604.02468"},"observation_digest":"sha256:dd5c8bbd795fc90b56393b655198621c0caad31867b1bc279a301ed7ea752ede","observation_id":"2a5c2597-9c7b-470c-95b3-8daffde5d071","resolution":{"observed_at":"2026-05-13T21:13:16.540389Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2604.13304","last_updated":"2026-04-14T21:18:08Z","snapshot_observed_at":"2026-07-06T23:01:19.191464Z","submitted_at":"2026-04-14T21:18:08Z","title":"Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T15:41:17.655954Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2604.13304"},"observation_digest":"sha256:fc70471588f94579a7e002c61c45db006487ce2bb0ada6c00698fe2a2e772c2f","observation_id":"269f06d3-d63a-42a8-9a31-065d7b461790","resolution":{"observed_at":"2026-05-11T10:01:03.451933Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2605.12485","last_updated":"2026-05-18T04:19:54Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:58:22Z","title":"Letting the neural code speak: Automated characterization of monkey visual neurons through human language","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-05-13T02:12:00.335761Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2605.12485"},"observation_digest":"sha256:f23102d4dc5919a5a8ea4652d105cccdfd57bd5db9a24333184cdb55665381bc","observation_id":"b944f420-3d94-4b5e-a1d7-9aedc414395b","resolution":{"observed_at":"2026-05-13T02:12:07.062453Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2605.12485","last_updated":"2026-05-18T04:19:54Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:58:22Z","title":"Letting the neural code speak: Automated characterization of monkey visual neurons through human language","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-20T21:17:53.615009Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2605.12485"},"observation_digest":"sha256:0665dbf4dffebebc21a00c1119fe27ac8d4eae74aee00bf1cd294a672e11b0bf","observation_id":"f614e9ed-1c3a-4ba3-9d31-f0b322e3795e","resolution":{"observed_at":"2026-05-20T21:19:02.980468Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2605.12809","last_updated":"2026-05-12T23:01:29Z","snapshot_observed_at":"2026-07-06T23:24:27.821980Z","submitted_at":"2026-05-12T23:01:29Z","title":"Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces","version":1},"reference_index":284,"source":"arxiv_source","source_observed_at":"2026-05-14T20:17:01.224864Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2605.12809"},"observation_digest":"sha256:20de7c2230a92183b2cf46164623380214b232c673604963d36a14e76f0c97a6","observation_id":"59e3e0d5-62b3-4745-9bd9-ecd158dbdf5e","resolution":{"observed_at":"2026-05-14T20:17:54.536463Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2605.16468","last_updated":"2026-05-15T11:28:10Z","snapshot_observed_at":"2026-08-02T16:33:28.737857Z","submitted_at":"2026-05-15T11:28:10Z","title":"Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-20T19:35:38.063063Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2605.16468"},"observation_digest":"sha256:9d73da55b306125f6bed5993c1d9ddea23a63adaee1cc63c0170b5f6bfa59e20","observation_id":"e348682a-41d3-4378-b704-bc1908f8f301","resolution":{"observed_at":"2026-05-20T19:38:56.241001Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2606.04326","last_updated":"2026-06-03T01:01:05Z","snapshot_observed_at":"2026-07-06T23:44:28.265478Z","submitted_at":"2026-06-03T01:01:05Z","title":"Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-28T07:27:56.163337Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2606.04326"},"observation_digest":"sha256:fafc56afbfd178043241201e24816bdaec72f2636afb56e40d04778ce17ebe27","observation_id":"3e3ec285-a2e0-40af-9207-cc32d9df6377","resolution":{"observed_at":"2026-07-02T06:16:43.841001Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2606.10495","last_updated":"2026-06-09T07:18:01Z","snapshot_observed_at":"2026-08-02T10:00:24.356645Z","submitted_at":"2026-06-09T07:18:01Z","title":"Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T12:52:38.764427Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2606.10495"},"observation_digest":"sha256:81a6d846aff84862896ce822bd1f33be0784386071f30fa0019fa6c8fb58047b","observation_id":"26228fc2-344d-483d-b1b6-d83b42f278d1","resolution":{"observed_at":"2026-07-03T06:07:41.671608Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":"2204.10965","doi":"10.48550/arxiv.2204.10965","metadata_source":"arxiv_reference","pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2204.10965 , year=","venue":"arXiv (Cornell University)","work_id":"92d91c32-30ac-4b08-a8d5-69aa181bb306","year":2022},"citing_paper":{"arxiv_id":"2606.12985","last_updated":"2026-06-11T07:21:58Z","snapshot_observed_at":"2026-08-03T04:57:21.219921Z","submitted_at":"2026-06-11T07:21:58Z","title":"Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-06-27T07:26:35.954455Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2606.12985"},"observation_digest":"sha256:1a4277fa5ab068a2be27d5f3f0aa27025fe1fbf88ef3d45d620580ebc573f22f","observation_id":"8897ae16-4d75-4307-a6a0-723d2fa778e5","resolution":{"observed_at":"2026-07-03T13:58:21.268186Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.10965","snapshot_observed_at":"2026-07-11T17:32:24.547251Z","title":"Clip-dissect: Automatic description of neuron repre- sentations in deep vision networks.arXiv preprint arXiv:2204.10965, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.04548","last_updated":"2026-07-05T23:36:36Z","snapshot_observed_at":"2026-08-08T03:02:23.476662Z","submitted_at":"2026-07-05T23:36:36Z","title":"Explainable Novel Category Discovery in Semantic Concept Space","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-11T17:32:24.547251Z"},"links":{"cited_paper":"/paper/2204.10965","citing_paper":"/paper/2607.04548"},"observation_digest":"sha256:2c2a6588fb40d87910a9825bc435e0f4c31cbaa4c228d9ff9eeac5d1da826150","observation_id":"bb3b109d-39f4-4936-8bea-5b95d5ea3b7d","resolution":{"observed_at":"2026-07-11T17:32:24.547251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2204.10965/citation-record","integrity":"/paper/2204.10965/integrity","json":"/paper/2204.10965/citation-record.json","paper":"/paper/2204.10965"},"outbound":[],"paper":{"arxiv_id":"2204.10965","last_updated":"2023-06-05T17:49:40Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T13:03:00.003273Z","submitted_at":"2022-04-23T00:40:02Z","title":"CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2204.10965."}