{"as_of":"2026-08-11T04:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a34ef702ec28debc1cf6c36e180d43374a8ef72248555dd3d4372200eeafd238","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T16:52:46.845569Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T10:29:45.381568Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-08-05T15:17:08.750129Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.20040","last_updated":"2025-08-27T16:50:17Z","snapshot_observed_at":"2026-08-09T16:27:30.249370Z","submitted_at":"2025-08-27T16:50:17Z","title":"Model Science: getting serious about verification, explanation and control of AI systems","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-05T15:17:08.750129Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2508.20040"},"observation_digest":"sha256:81fb33fabc9c6abc57beb3b5c9e83471140e59449dddf1fabac6fda98dbc0508","observation_id":"40e9ba27-afc7-41c9-b4ae-4c1f5104a87c","resolution":{"observed_at":"2026-08-05T15:17:08.750129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2502.20578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-07-04T10:29:45.381568Z","title":"Interpreting clip with hierarchical sparse autoencoders.arXiv preprint arXiv:2502.20578","venue":null,"work_id":"e688ac17-ba8c-423a-9921-7beb13e7c73a","year":2025},"citing_paper":{"arxiv_id":"2604.05724","last_updated":"2026-04-07T11:28:07Z","snapshot_observed_at":"2026-08-02T13:42:34.818815Z","submitted_at":"2026-04-07T11:28:07Z","title":"Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T19:11:09.646784Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2604.05724"},"observation_digest":"sha256:007486613e7207cada649286cf0daa7516d0f26ea8f864faacb1eada427b7055","observation_id":"649409cd-4791-4d95-9c02-9c21950b5840","resolution":{"observed_at":"2026-05-10T23:25:49.648993Z","resolver_source":"arxiv_id","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":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2502.20578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-07-04T10:29:45.381568Z","title":"Interpreting clip with hierarchical sparse autoencoders.arXiv preprint arXiv:2502.20578","venue":null,"work_id":"e688ac17-ba8c-423a-9921-7beb13e7c73a","year":2025},"citing_paper":{"arxiv_id":"2604.07802","last_updated":"2026-04-28T02:50:27Z","snapshot_observed_at":"2026-07-06T22:57:05.146373Z","submitted_at":"2026-04-09T04:54:25Z","title":"Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T17:25:34.942028Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2604.07802"},"observation_digest":"sha256:00cb8349bcae3668d32aa5894f81c4caeb416dac0fa4cc3a648fe7902b483332","observation_id":"d80e7d68-daff-45bf-92d1-45de7d58215f","resolution":{"observed_at":"2026-05-11T06:51:18.661250Z","resolver_source":"arxiv_id","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":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2502.20578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-07-04T10:29:45.381568Z","title":"Interpreting clip with hierarchical sparse autoencoders.arXiv preprint arXiv:2502.20578","venue":null,"work_id":"e688ac17-ba8c-423a-9921-7beb13e7c73a","year":2025},"citing_paper":{"arxiv_id":"2605.00899","last_updated":"2026-04-28T12:28:18Z","snapshot_observed_at":"2026-08-11T02:16:20.488494Z","submitted_at":"2026-04-28T12:28:18Z","title":"LatentDiff: Scaling Semantic Dataset Comparison to Millions of Images","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-09T20:16:30.677208Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2605.00899"},"observation_digest":"sha256:d6dafb7d2a98f3fa09a1b35d2b9059bb9bcff15cd3864c4aa2d85e0a4e80273f","observation_id":"5e061a45-da44-4704-bea1-3eefb05f90e4","resolution":{"observed_at":"2026-05-11T15:21:06.342597Z","resolver_source":"arxiv_id","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":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2502.20578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-07-04T10:29:45.381568Z","title":"Interpreting clip with hierarchical sparse autoencoders.arXiv preprint arXiv:2502.20578","venue":null,"work_id":"e688ac17-ba8c-423a-9921-7beb13e7c73a","year":2025},"citing_paper":{"arxiv_id":"2605.11107","last_updated":"2026-05-11T18:13:05Z","snapshot_observed_at":"2026-08-11T03:45:15.335189Z","submitted_at":"2026-05-11T18:13:05Z","title":"Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-13T07:26:02.947081Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2605.11107"},"observation_digest":"sha256:c245949643e9cdd633a633f684b196f5a4bb440c4c1c6693a6c17840c75ef986","observation_id":"00e8bf1b-99a6-4145-a3c7-71e00b2d5cd0","resolution":{"observed_at":"2026-05-13T07:27:29.738280Z","resolver_source":"arxiv_id","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":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2502.20578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-07-04T10:29:45.381568Z","title":"Interpreting clip with hierarchical sparse autoencoders.arXiv preprint arXiv:2502.20578","venue":null,"work_id":"e688ac17-ba8c-423a-9921-7beb13e7c73a","year":2025},"citing_paper":{"arxiv_id":"2605.22679","last_updated":"2026-05-21T16:23:34Z","snapshot_observed_at":"2026-07-06T23:32:59.663926Z","submitted_at":"2026-05-21T16:23:34Z","title":"Conceptualizing Embeddings: Sparse Disentanglement for Vision-Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-22T05:50:50.415408Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2605.22679"},"observation_digest":"sha256:2466804edff34eea1b9610a5c1b0fdab0529139047941b917c0b565d2dee9a1e","observation_id":"16347d71-bd03-4899-9d7a-6981aa767f7a","resolution":{"observed_at":"2026-05-22T05:51:07.675541Z","resolver_source":"arxiv_id","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":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2502.20578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-07-04T10:29:45.381568Z","title":"Interpreting clip with hierarchical sparse autoencoders.arXiv preprint arXiv:2502.20578","venue":null,"work_id":"e688ac17-ba8c-423a-9921-7beb13e7c73a","year":2025},"citing_paper":{"arxiv_id":"2605.22902","last_updated":"2026-05-21T17:34:39Z","snapshot_observed_at":"2026-07-06T23:33:09.561760Z","submitted_at":"2026-05-21T17:34:39Z","title":"Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T06:22:09.828982Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2605.22902"},"observation_digest":"sha256:d31c0835c6fa6815b938b0bee3ac9b6322226778b2fca282f5cd0a680b7fd234","observation_id":"9d3f2067-430f-42d0-9510-4117d291f1c6","resolution":{"observed_at":"2026-05-25T06:25:23.797271Z","resolver_source":"arxiv_id","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":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2502.20578","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-07-04T10:29:45.381568Z","title":"Interpreting clip with hierarchical sparse autoencoders.arXiv preprint arXiv:2502.20578","venue":null,"work_id":"e688ac17-ba8c-423a-9921-7beb13e7c73a","year":2025},"citing_paper":{"arxiv_id":"2606.22994","last_updated":"2026-06-22T08:12:34Z","snapshot_observed_at":"2026-08-08T15:52:49.568637Z","submitted_at":"2026-06-22T08:12:34Z","title":"Do Sparse Autoencoders Learn Meaningful Concept Hierarchies?","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-26T08:46:48.220801Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2606.22994"},"observation_digest":"sha256:dd5084a0d23ecc1065a049a3da475b57055f08bec844bdce7399900c2920c3c3","observation_id":"2359aad6-4f2c-4d69-8887-4b6c1ad3352b","resolution":{"observed_at":"2026-07-04T10:29:45.383322Z","resolver_source":"arxiv_id","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":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-08-02T04:33:54.132265Z","title":"Richard Zhang, Phillip Isola, Alexei A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.13660","last_updated":"2026-07-15T10:05:53Z","snapshot_observed_at":"2026-08-06T00:19:12.467067Z","submitted_at":"2026-07-15T10:05:53Z","title":"The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T04:33:54.132265Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2607.13660"},"observation_digest":"sha256:a5ce9bc1d8566c6c30d4ee4a30bf2b363d87cded32a601a78b1c69e27ae4aa94","observation_id":"80d6cde7-00a8-44c1-910a-a427fec3fbcc","resolution":{"observed_at":"2026-08-02T04:33:54.132265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-08-01T17:08:25.162245Z","title":"arXiv:2502.20578 (2025) 18 K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17770","last_updated":"2026-07-20T10:03:37Z","snapshot_observed_at":"2026-08-07T07:11:07.475631Z","submitted_at":"2026-07-20T10:03:37Z","title":"Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:25.162245Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2607.17770"},"observation_digest":"sha256:12a4e50848736a15e9f046c1a169955d75cb34e1e2ce4180fc70b1d894d81369","observation_id":"042d60b7-a730-412b-81af-7bb13f4d123c","resolution":{"observed_at":"2026-08-01T17:08:25.162245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-08-08T04:21:37.945531Z","title":"arXiv preprint arXiv:2502.20578 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03008","last_updated":"2026-08-04T01:41:40Z","snapshot_observed_at":"2026-08-11T02:43:47.058964Z","submitted_at":"2026-08-04T01:41:40Z","title":"V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T04:21:37.945531Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2608.03008"},"observation_digest":"sha256:d7faaebd69184a6d2c0fa375f51f441d05b118a356475060327379b20e6f5cd1","observation_id":"3258d3f7-0d1a-4378-a531-552f699071fb","resolution":{"observed_at":"2026-08-08T04:21:37.945531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-08-06T04:50:37.397809Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05122","last_updated":"2026-08-06T17:40:28Z","snapshot_observed_at":"2026-08-09T23:12:28.018036Z","submitted_at":"2026-08-05T17:49:45Z","title":"IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T04:50:37.397809Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2608.05122"},"observation_digest":"sha256:3a2e04d92541ef019033384e83f967a9bafdcb5d342f8d91c07937dc0409de73","observation_id":"c855e95e-b08c-4704-9ee6-55ec85f0598a","resolution":{"observed_at":"2026-08-06T04:50:37.397809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20578","last_updated":"2025-05-28T10:39:11Z","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20578","snapshot_observed_at":"2026-08-08T16:52:46.845569Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05122","last_updated":"2026-08-06T17:40:28Z","snapshot_observed_at":"2026-08-09T23:12:28.018036Z","submitted_at":"2026-08-05T17:49:45Z","title":"IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T16:52:46.845569Z"},"links":{"cited_paper":"/paper/2502.20578","citing_paper":"/paper/2608.05122"},"observation_digest":"sha256:e873685be811cafe1dfaefca2feb90d29308fec3cce5c6003b62e99efaf048cc","observation_id":"fd8317dc-2481-4c5b-a592-ccf4b813426b","resolution":{"observed_at":"2026-08-08T16:52:46.845569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.20578/citation-record","integrity":"/paper/2502.20578/integrity","json":"/paper/2502.20578/citation-record.json","paper":"/paper/2502.20578"},"outbound":[],"paper":{"arxiv_id":"2502.20578","last_updated":"2025-05-28T10:39:11Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T21:19:04.909985Z","submitted_at":"2025-02-27T22:39:13Z","title":"Interpreting CLIP with Hierarchical Sparse Autoencoders"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2502.20578."}