{"as_of":"2026-08-12T12:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5fa14db9f830c5cf8cd0b3e59ec0b7f51830cc3aad00035412c11b4784ac91e6","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:13:13.318401Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2412.19650/citation-record","integrity":"/paper/2412.19650/integrity","json":"/paper/2412.19650/citation-record.json","paper":"/paper/2412.19650"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.040708Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.040708Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:60d548e848699edef5de78a696826d724d780fdbff45be6e7758e38e66a62d28","observation_id":"061f53d1-0b75-4789-93c3-8c1eb1defd8c","resolution":{"observed_at":"2026-08-11T00:13:13.040708Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.046081Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.046081Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:b73e75834d93f790475102bd61d75416da33948a20cb213d8bb64489b93e97fe","observation_id":"7e2e04c4-9fa8-44bd-a32d-df2e327d1a7d","resolution":{"observed_at":"2026-08-11T00:13:13.046081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.199161Z","title":null,"venue":null,"work_id":"cdb9fbca-0b45-4271-8674-ab9d831fabab","year":2019},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.050758Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:310873159d161d69cee3b1019b200c6bb42e22b41898c6406f02e11523d1164c","observation_id":"e955fbbd-138e-4d64-89fc-97538fb8a211","resolution":{"observed_at":"2026-08-11T00:13:14.203185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.187381Z","title":null,"venue":null,"work_id":"6f627b37-f6c6-4be5-a33a-b764cb62391b","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.056072Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:7b09cbf43d0ca667b33808e7dcb857b9c1d0b879fa121a5334c715400093f4fb","observation_id":"92cedd18-2c22-4516-89bf-1942f0acc24e","resolution":{"observed_at":"2026-08-11T00:13:14.191327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.060265Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.060265Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:08ea20833465e0f4c6282c134cc814b732ee39e1817336e8eaa7bd58986e3d7e","observation_id":"d9aa6c0a-77fc-4dc8-869b-eb098b48102c","resolution":{"observed_at":"2026-08-11T00:13:13.060265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.165104Z","title":null,"venue":null,"work_id":"569ffd0f-e50b-444c-9bed-9d030ac70f3b","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.064496Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:11c8230f20e76c98196fbe7cd83394cd02e6c7523c95ba1242e54ada2e127681","observation_id":"f2c3656d-0e8f-49ce-99cf-a74c4145b2d1","resolution":{"observed_at":"2026-08-11T00:13:14.169163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.153148Z","title":null,"venue":null,"work_id":"18524d54-2a84-48db-a8ca-2a6dc2ca0dbd","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.068497Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:88c49719a44f8de3cae5a4d258399f20b7ed7c30953a29e4fbdbca4d0917ba37","observation_id":"eefa2543-d7e3-4eec-9a4b-3e59bc25958e","resolution":{"observed_at":"2026-08-11T00:13:14.156928Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.140626Z","title":null,"venue":null,"work_id":"4cbb6a24-07bc-4cc7-b10d-d0103f79a3d5","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.072770Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:718747bd7f0a50d3e560cdcf9f528b9c0dd53daacb48a6257a0301e33d1a763a","observation_id":"770cc35f-5988-494f-87d0-e67e69f77cc3","resolution":{"observed_at":"2026-08-11T00:13:14.144645Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.128586Z","title":"K.; Winn, J.; and Zisserman, A","venue":null,"work_id":"bbedccc7-9e56-4545-a0af-65abe2048e06","year":2010},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.077367Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:fd7c4f1547bdbbb939d736063e1318f0e766c1d4abcde16e79f212ee635d447c","observation_id":"90a91104-64f0-4722-8e65-542e2b660e50","resolution":{"observed_at":"2026-08-11T00:13:14.133092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.116003Z","title":null,"venue":null,"work_id":"47b6e534-aed5-4ff6-8578-9f392eb887c8","year":2011},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.081684Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:efc9698ef2ade56ef307d169e57db7d6f77801b5f4b9ef475004375e7c8abde6","observation_id":"84686065-995e-4fdf-a860-a0f4dcb92e80","resolution":{"observed_at":"2026-08-11T00:13:14.119351Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.085744Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.085744Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:43c41d55cc08048e111fbd6c314db171acf10417f53a57b8e77d522af965ad18","observation_id":"eaf649c7-809c-4e80-8f1d-19ee5c794158","resolution":{"observed_at":"2026-08-11T00:13:13.085744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11289","last_updated":"2024-05-18T13:28:51Z","snapshot_observed_at":"2026-08-12T01:08:16.997100Z","submitted_at":"2024-05-18T13:28:51Z","title":"Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11289","snapshot_observed_at":"2026-08-11T00:13:13.092795Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.092795Z"},"links":{"cited_paper":"/paper/2405.11289","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:5fe9a8c6da6487862e62dace9bd815dbe923f353b11ed27fb5cc96e906034f9a","observation_id":"5eecd9e2-b010-4018-a2e6-31b6c99bdb46","resolution":{"observed_at":"2026-08-11T00:13:13.092795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15421","last_updated":"2024-11-26T13:25:34Z","snapshot_observed_at":"2026-08-09T05:58:44.121765Z","submitted_at":"2024-11-23T02:53:08Z","title":"OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15421","snapshot_observed_at":"2026-08-11T00:13:13.097678Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.097678Z"},"links":{"cited_paper":"/paper/2411.15421","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:c36f095b37d55daf737bb52d6abe56f9ee65622d649107499b7cf917c0d956fd","observation_id":"4c8bfe4a-6b79-434c-91e9-8f961916cb95","resolution":{"observed_at":"2026-08-11T00:13:13.097678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.098336Z","title":null,"venue":null,"work_id":"f307fdd8-a676-4e49-90d2-76a6cae3af09","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.102101Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:de6f82c42a497b29034fbaba32af01ba6e1883632ada2922a1eb2747a2aa3e5c","observation_id":"29b8117f-4abb-4eaa-88e2-cdb3e3a3365b","resolution":{"observed_at":"2026-08-11T00:13:14.101708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.088211Z","title":"a henb \\","venue":null,"work_id":"83b0ad51-2fa5-434e-b033-4ceb046544b2","year":2011},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.107021Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:2b848a7591ad054c6f5511116787169b87a88411d20c384365e7daea948cf11d","observation_id":"617cbf12-0fd0-4512-a44f-303ed73631c2","resolution":{"observed_at":"2026-08-11T00:13:14.091587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.076454Z","title":null,"venue":null,"work_id":"001edad7-2f91-4f4a-994c-38ee6a9e17a1","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.110906Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:8d3201a956a7a1e667493fe44770fcab35bcdaa339339c1c3f712512033749a0","observation_id":"7177392a-53ff-4794-8588-de70708dbcc1","resolution":{"observed_at":"2026-08-11T00:13:14.080570Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.061749Z","title":null,"venue":null,"work_id":"2f1dd03e-7ac9-4a75-909e-6cf752cbf4c1","year":2021},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.114577Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:be2f4e915935d83c4350ad7789ddf9bb0c7a32e13fd01bd0bb457ab586dcb744","observation_id":"c4b4bfe3-8a4c-442b-ae5d-19dde4546814","resolution":{"observed_at":"2026-08-11T00:13:14.067397Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.049220Z","title":null,"venue":null,"work_id":"c207e5a1-35ff-4251-86a3-c143178592e5","year":2021},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.118336Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:ba9ff5fea26b36877fa7c9554c05b7e349d686e7ade30fea2a44b3e92f7b697c","observation_id":"8149f172-0854-4ab4-a0c7-31d3a332cb0d","resolution":{"observed_at":"2026-08-11T00:13:14.053479Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.037161Z","title":null,"venue":null,"work_id":"a9414bb5-b77f-4eec-8fa5-7f7a7a1f7720","year":2022},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.122008Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:91dcbdf5ea5296b6a5b60331086e64baafc24a38c1804c3f9d0633cbb1e4f245","observation_id":"31f9d31c-66ef-4a17-ad67-e8f804f407f3","resolution":{"observed_at":"2026-08-11T00:13:14.041156Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.024038Z","title":"W.; Zhang, Y.; Kwon, Y.; Yeung, S.; and Zou, J","venue":null,"work_id":"744d5052-ee11-4386-999c-746b1f6de020","year":2022},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.126288Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:f2ecf581966568bae9aa37c61658df32f494789fa1a9499c0f9f5d216c8421f0","observation_id":"27dfdeef-8225-42e6-b038-32ae96561196","resolution":{"observed_at":"2026-08-11T00:13:14.028656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:14.012367Z","title":null,"venue":null,"work_id":"7cbaa318-ffe9-4a82-896b-f226e03b2915","year":2016},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.130156Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:610fa330459d231a466ca0c4eac40c555f44f7df903f5e079ee3c7fc6e93af5e","observation_id":"ceab86f5-24c9-4fc2-8f99-200dc99a576a","resolution":{"observed_at":"2026-08-11T00:13:14.016147Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.133988Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.133988Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:593b885f0f205209e4b23184be7d3f7c9a87eac23d849aa045a5568d4aad54e0","observation_id":"2a14e063-f496-48c5-88e6-2e9a0d6ae2c3","resolution":{"observed_at":"2026-08-11T00:13:13.133988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.992555Z","title":null,"venue":null,"work_id":"b048467a-57a9-44c5-b383-2a64a9f85b0a","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.137596Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:03d25117acab740f01c518a4aa8a6735cc4452b42a0e75f1bc004ef125e32072","observation_id":"5d506b19-ad23-4717-8250-a350d87a16d8","resolution":{"observed_at":"2026-08-11T00:13:13.996939Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.980173Z","title":null,"venue":null,"work_id":"79f04c96-9138-431e-8356-81f98b804e38","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.141847Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:7634d8a0a25beb94d98508104f59b048f9e31008564111317430036d6d6d9c75","observation_id":"ad42ec4b-99d8-4b6d-8f80-4da8548fe588","resolution":{"observed_at":"2026-08-11T00:13:13.984111Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.969031Z","title":null,"venue":null,"work_id":"6ca3f1f9-b4ff-47fc-abcb-5fafe956fa46","year":2015},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.145738Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:2e8de76aca5a8a7f69cbf9f475a1d3377f7cd23d219991f1e926d679137518a6","observation_id":"7c295e59-c672-4001-9642-22fc738cc2ac","resolution":{"observed_at":"2026-08-11T00:13:13.972944Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.958095Z","title":null,"venue":null,"work_id":"e36c3e79-204c-412c-a4bc-61692ba26a68","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.149486Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:4ff0fc94b0f319e272dd7648d537b0e764aac2ff3d9f941fe319b406ea9f133a","observation_id":"3d9768bd-e53b-4dfd-9dc9-1ae99d4da773","resolution":{"observed_at":"2026-08-11T00:13:13.961566Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.947120Z","title":null,"venue":null,"work_id":"d7b015ed-bca9-4a42-94f7-22c5891ea801","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.153085Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:85322c948b2c8a620038f8dc9276eead9a87b31821aba7d9ef577c584379a04a","observation_id":"b115c395-7b28-4a40-b34a-0421c57d661b","resolution":{"observed_at":"2026-08-11T00:13:13.950966Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.934136Z","title":null,"venue":null,"work_id":"4bd6a799-d5ba-4256-bdec-8f48af49ba96","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.157558Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:91ccf14db498e571852925432314fe5db0fa85f1a779a8806b7e230073194f57","observation_id":"d776d312-26b4-4df1-a185-6e3931661dd3","resolution":{"observed_at":"2026-08-11T00:13:13.938959Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.162017Z","title":"W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.162017Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:e48eb20a462091703d1cb2035d92b78818b4d438252fedd9cf6dc6ff55155d53","observation_id":"88e91b38-70dd-43c1-a5eb-35dc841f59de","resolution":{"observed_at":"2026-08-11T00:13:13.162017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.915486Z","title":null,"venue":null,"work_id":"374e8bd3-e098-4fa5-bc83-148c010fb6da","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.166024Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:ce82f85e4896a56166fbe090f5216063cb9991cc8ec156107527bc9f7ba9f4ed","observation_id":"546e1127-0985-45f0-858f-b62255032a65","resolution":{"observed_at":"2026-08-11T00:13:13.919572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.903602Z","title":null,"venue":null,"work_id":"bb825967-2724-4bde-a1f8-f20361a18828","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.169991Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:61adc03fe54288b33465a13ccb0d09234a78e1540a3746cb7ccc618c9af73b2a","observation_id":"618e3c87-d61c-437a-8b16-0fe1b856ebc3","resolution":{"observed_at":"2026-08-11T00:13:13.907585Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.892183Z","title":null,"venue":null,"work_id":"c5339091-fb38-49fa-9d58-712b23a3da7d","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.173997Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:38bae10ef26fd3e7b348257d22fdf9991916f0bc9e552003573cb8e068de1faa","observation_id":"0cd8ef5b-8233-4b2e-92f8-5c2900ead39c","resolution":{"observed_at":"2026-08-11T00:13:13.896103Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07293","last_updated":"2024-07-30T01:40:59Z","snapshot_observed_at":"2026-08-11T17:06:56.434899Z","submitted_at":"2024-07-30T01:40:59Z","title":"Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07293","snapshot_observed_at":"2026-08-11T00:13:13.178074Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.178074Z"},"links":{"cited_paper":"/paper/2408.07293","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:cf81a13d496f0687b8a2ac8b12b9c9fa6ac5f7967e7e8a592441e2bcf9ebc37e","observation_id":"1a7665e3-8c5c-46c4-9bf0-f56d32c85372","resolution":{"observed_at":"2026-08-11T00:13:13.178074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.181915Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.181915Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:d4116f46bce8a196a46389a6e0058949193d0d1e4105d60d8af224e5a5748ce7","observation_id":"005fd143-a718-4dac-8fe6-8d66fc10f022","resolution":{"observed_at":"2026-08-11T00:13:13.181915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.185263Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.185263Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:5b7d4e57a1000d1eaa82eda4ad25b8a2a03a79d350b18cdfffbfe21946289974","observation_id":"a71fb1b7-3b40-4434-9ebd-ab1e3ed2ad38","resolution":{"observed_at":"2026-08-11T00:13:13.185263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.865656Z","title":null,"venue":null,"work_id":"1a78d87c-bd02-404d-83b2-5652ab533978","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.188615Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:06b32eb2efe4ec789d9812a0a509aca51d21d8a1bd3edf24e36e6056341aded1","observation_id":"4a51cedc-116c-43ea-b879-baa74dc5b775","resolution":{"observed_at":"2026-08-11T00:13:13.869965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.853919Z","title":null,"venue":null,"work_id":"9e1f8d26-ba48-4b29-8417-6ca0bfcd1d70","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.191968Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:04d4dc8c8807fb3288eaa536923b8563ac78a509029a91573345bcbddd6d7a53","observation_id":"f47b9ba7-6df4-41c6-a4a2-24e8d816f52a","resolution":{"observed_at":"2026-08-11T00:13:13.857603Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.841092Z","title":null,"venue":null,"work_id":"08677030-8512-4d7a-a9d9-372614c57319","year":2008},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.195177Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:37b37de55a4d276cbfdb568af5c32048fd158199654ef533071d2a837049a18c","observation_id":"9c0f2199-f216-4bab-acd4-7a544acfa999","resolution":{"observed_at":"2026-08-11T00:13:13.845776Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.04256","last_updated":"2025-09-10T06:02:46Z","snapshot_observed_at":"2026-08-09T08:02:52.921263Z","submitted_at":"2024-04-05T17:59:44Z","title":"Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.04256","snapshot_observed_at":"2026-08-11T00:13:13.198740Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.198740Z"},"links":{"cited_paper":"/paper/2404.04256","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:59688094a19a3540e606494258bc510b47eceb447a2230c8352aae0b94944fab","observation_id":"d2cbff9d-5cf8-48af-bf87-7b6af1d1f0c5","resolution":{"observed_at":"2026-08-11T00:13:13.198740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.829041Z","title":null,"venue":null,"work_id":"e5c460ab-8558-4b03-a174-5c6493ccbbf4","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.203185Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:71dc1eb16939cda92827310e2260464f56b217fee7b772c7307a05e032e64f03","observation_id":"4b6b99e9-5d70-483f-a10a-863b9c66e686","resolution":{"observed_at":"2026-08-11T00:13:13.833217Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.207201Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.207201Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:b2fb745151e2f2d3547e615207a63bf0f29c3855030c3bca2397f49465084d46","observation_id":"76ce5b7e-a643-4c9b-b69b-556dab2d1d27","resolution":{"observed_at":"2026-08-11T00:13:13.207201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.810229Z","title":null,"venue":null,"work_id":"b4e6febf-6031-4cf6-aa16-ebdd19df1d59","year":2020},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.211273Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:140c63a73b570554017943623adefdd637efde055bfbd63709d6e772a0db757c","observation_id":"b9bc66ef-0f81-471f-9f61-f6a9556aa9ba","resolution":{"observed_at":"2026-08-11T00:13:13.814267Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.799153Z","title":null,"venue":null,"work_id":"e8df7ae5-6aef-4fc8-bdde-25962431b98f","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.215060Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:669ff4495aa190de853a7e1acb79f00dc458693a8438728d40244b72302d705e","observation_id":"64d1518b-12fb-4bcc-a7f7-9b324d032efb","resolution":{"observed_at":"2026-08-11T00:13:13.802920Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.787989Z","title":null,"venue":null,"work_id":"5823bd75-b105-4f29-bc0e-e5e525a8d4e2","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.218954Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:13c42afcb6556c231d384b66a8fbc5589407bd1afe07b27dddc2c46bf26718ed","observation_id":"9f39f4a6-adac-467c-be7d-e85189686e6f","resolution":{"observed_at":"2026-08-11T00:13:13.791682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.776297Z","title":null,"venue":null,"work_id":"8609a119-6e7c-4735-8534-75df87b7885a","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.222860Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:71a358f61d453cce42aa4a3ce3d8b25c6a967eb4e7eddf20ad82cd1bfca13936","observation_id":"3cfffc88-c83e-45a4-9a1f-2de0b98e18fe","resolution":{"observed_at":"2026-08-11T00:13:13.780079Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.764581Z","title":null,"venue":null,"work_id":"a234b455-be76-483a-8215-f1025c97ee2a","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.226542Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:f56d8ebf04f61dc378866af76248013e24ebc6781a6bb92ea268ae5b63c1757f","observation_id":"a7726114-b79e-4e20-8240-932e864893ec","resolution":{"observed_at":"2026-08-11T00:13:13.768626Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.752087Z","title":null,"venue":null,"work_id":"346b16d9-86b3-421d-b26e-a322dbdc2087","year":2022},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.230652Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:5790831dee475916c9245a64e7c3d747f4eb495b04064ef0f1962ef4898ef095","observation_id":"46e4f55d-1666-463e-a094-94dfaf048129","resolution":{"observed_at":"2026-08-11T00:13:13.755658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.234558Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.234558Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:d4bcfca736638820fd4067e158f68784964fbeb88560c8257cc569a406965cc8","observation_id":"a2ff90c0-164c-4a01-95b4-2b5682fa2b57","resolution":{"observed_at":"2026-08-11T00:13:13.234558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.741282Z","title":null,"venue":null,"work_id":"cc9f8100-11c8-439b-be64-66d5d9e0f474","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.238181Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:9009a6a63398961c82c7028c7e8d8e7cfb9f029e603dbd20f1f61c867a33c2a7","observation_id":"f0955abd-c3fb-40af-b425-83e2c18f5959","resolution":{"observed_at":"2026-08-11T00:13:13.745124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.729708Z","title":null,"venue":null,"work_id":"a873dc08-6298-428c-a833-a5678a7b805b","year":2022},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.242085Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:4d089dda60b1cdaecef0f510a9d90545abce57a8c7b6a48ec3deb89109c2fe9f","observation_id":"f6d5bbee-4ebb-43f6-9dc3-c5d57cf70724","resolution":{"observed_at":"2026-08-11T00:13:13.733984Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.717176Z","title":null,"venue":null,"work_id":"e43bb235-7bec-4ca1-839d-739d47ddbcbc","year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.245874Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:01e2ec5b74d930871a9a17e51290fb3033169e961ac49bb020f770f81105d777","observation_id":"9705d339-b892-4288-8533-23fee675e0f9","resolution":{"observed_at":"2026-08-11T00:13:13.721962Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.705318Z","title":null,"venue":null,"work_id":"95a06631-b900-4f6d-b1e9-a7dd5b952385","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.251356Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:1a0f05874d8ac7705f5411e4127594e2c1f83235f35fcc906ae45865fa15e3d1","observation_id":"96237f8d-2e2a-44b1-bdf6-ae7ccb6032d2","resolution":{"observed_at":"2026-08-11T00:13:13.709219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.692868Z","title":null,"venue":null,"work_id":"375c8959-5e62-4291-9c9f-094f787ad569","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.256033Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:f4d28f8bb33404f63975e38abfa462bf74bf3a87d682fedadfc5d194e6bd7c55","observation_id":"77923d3a-15f8-4c95-b43b-08c0336f9580","resolution":{"observed_at":"2026-08-11T00:13:13.696576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07576","last_updated":"2023-06-13T06:56:09Z","snapshot_observed_at":"2026-08-09T23:23:07.200232Z","submitted_at":"2023-06-13T06:56:09Z","title":"Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07576","snapshot_observed_at":"2026-08-11T00:13:13.261088Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.261088Z"},"links":{"cited_paper":"/paper/2306.07576","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:85e826982e36a6b3a7c35d49cc78ee970d0fe2f6d9fba2775081b0c383df3211","observation_id":"c53e1619-80ac-4b76-8bdf-b5b7823e9048","resolution":{"observed_at":"2026-08-11T00:13:13.261088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.681080Z","title":null,"venue":null,"work_id":"535d075a-20fa-481c-8ead-950225b1985a","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.265442Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:4038608c04a66af9cfc3e2402dba11dd62633dbcf6d8318f878e0e3258b04e43","observation_id":"2294caa2-136a-4c73-8553-c9d1aef93c6c","resolution":{"observed_at":"2026-08-11T00:13:13.685144Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.670053Z","title":null,"venue":null,"work_id":"aecf7861-7760-476f-b6df-7aa426611872","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.269614Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:d004a6b6aaf95057212e59818f1f581a4293cd5f3ad73a59b3fe7b09eb6a7372","observation_id":"06b07e24-67bf-44f7-b4c1-6dded7afcfd6","resolution":{"observed_at":"2026-08-11T00:13:13.673516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.658760Z","title":null,"venue":null,"work_id":"802963cf-72fe-47bb-a1e3-ae0ed5fd32c9","year":2022},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.274053Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:780015848ba1cdba2000cc125609871a5b8d814f178ff871792dae984659c619","observation_id":"a794f2e1-e6f3-4d68-85e1-e23d20ec38d6","resolution":{"observed_at":"2026-08-11T00:13:13.662586Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.20441","last_updated":"2024-10-31T03:34:33Z","snapshot_observed_at":"2026-07-31T07:01:24.766432Z","submitted_at":"2024-09-30T16:00:34Z","title":"Instance-adaptive Zero-shot Chain-of-Thought Prompting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.20441","snapshot_observed_at":"2026-08-11T00:13:13.281954Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.281954Z"},"links":{"cited_paper":"/paper/2409.20441","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:23c9da47b47058a729919429f5b30218af903e998c71544cd38558c53c9ef4e0","observation_id":"fa6c7ee5-d8eb-458b-9683-104f908e4e18","resolution":{"observed_at":"2026-08-11T00:13:13.281954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.645582Z","title":null,"venue":null,"work_id":"7982a40b-9fcd-4a69-bd7d-eda0f8eb4282","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.287296Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:9f847da9c8b53f4acca1e310ed62933a359dfda9ef84b8688affafd1e4d7cf9c","observation_id":"01c849c9-ddca-44b7-a34c-80cc955f61d3","resolution":{"observed_at":"2026-08-11T00:13:13.649791Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.632957Z","title":null,"venue":null,"work_id":"8502eb5f-7164-447b-afb6-dd8e6882ea9e","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.292264Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:b4f904194f1506068bd046fa5ff17454acd75e3f42d7b5a7f91d5ec656325ef3","observation_id":"faa39104-e0d0-4d3c-9633-3b1560b88a39","resolution":{"observed_at":"2026-08-11T00:13:13.636900Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.09968","last_updated":"2024-11-15T05:51:29Z","snapshot_observed_at":"2026-08-07T09:15:02.322742Z","submitted_at":"2024-11-15T05:51:29Z","title":"Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.09968","snapshot_observed_at":"2026-08-11T00:13:13.296393Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.296393Z"},"links":{"cited_paper":"/paper/2411.09968","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:fede06f36d635eca30c727f3b777b1a51fb4547529d3472b933f3a138452045c","observation_id":"bc7c7a60-b5cd-455f-9cbd-42add66843ff","resolution":{"observed_at":"2026-08-11T00:13:13.296393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06579","last_updated":"2024-10-17T01:17:25Z","snapshot_observed_at":"2026-08-10T09:51:05.995018Z","submitted_at":"2024-06-04T13:52:54Z","title":"From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06579","snapshot_observed_at":"2026-08-11T00:13:13.301658Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.301658Z"},"links":{"cited_paper":"/paper/2406.06579","citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:516d5b762b99c637027a403d28916a7ba4c010c318da8407d4465724867ae293","observation_id":"77489c5e-0296-4189-8d11-6f8d51fefe3a","resolution":{"observed_at":"2026-08-11T00:13:13.301658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.620494Z","title":null,"venue":null,"work_id":"31a25f84-d4f7-48c8-9d0d-5c09e7f4879d","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.307372Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:79dd850d7f3477ca0bba96dd6254f2433607ace11630d2cb712187fa5a96ca23","observation_id":"45ddaca6-9825-4d42-8a4f-dbe52668d8b9","resolution":{"observed_at":"2026-08-11T00:13:13.624751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.607680Z","title":null,"venue":null,"work_id":"b6d65dfe-0309-45f4-b3c2-cfb7108f6e0e","year":2024},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.311207Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:e806393ecbfb74d1ceecff5ba8fa293580eba318c41e15de8bdbca6f5f1f46e4","observation_id":"3ac917e5-b7cb-4a1a-b8a3-abf33083c8a6","resolution":{"observed_at":"2026-08-11T00:13:13.611987Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.594752Z","title":null,"venue":null,"work_id":"7fccdf4c-4e71-42e3-8bcc-73a09b3f74c1","year":2016},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.314908Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:826607c75ff53cb4293bc8fee7acc1651c125d47b21d8f71ffed305e7469fd80","observation_id":"0dd15513-1c5e-4f64-ac7d-9c910424dd1c","resolution":{"observed_at":"2026-08-11T00:13:13.598967Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:13:13.579517Z","title":null,"venue":null,"work_id":"f774dc0e-7b2c-42d8-ada0-8b8fcb1728a1","year":2022},"citing_paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-11T00:13:13.318401Z"},"links":{"citing_paper":"/paper/2412.19650"},"observation_digest":"sha256:5523bfd931c02e90d23e02094ac476cd8634885ac61c68bc63b2cdad1399a095","observation_id":"d2995e66-d079-4319-a3da-a2cc6f90475a","resolution":{"observed_at":"2026-08-11T00:13:13.586183Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.19650","last_updated":"2024-12-27T13:55:11Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T03:35:47.120166Z","submitted_at":"2024-12-27T13:55:11Z","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":63,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":66},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2412.19650."}