{"as_of":"2026-08-11T10:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59370ae6c44419826b246871ffda613dfe2af89d3b4833afa79d31de09d2a7ac","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T09:11:58.462376Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2606.22749/citation-record","integrity":"/paper/2606.22749/integrity","json":"/paper/2606.22749/citation-record.json","paper":"/paper/2606.22749"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:a2cb0370dd68faf8ca6a4b1c922778f45bb0f04ea709d820bf33c90b96de694a","observation_id":"a8a74aa3-38ca-46af-8e70-f29a80a11b34","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:eae19dfa37105cd780ffeb76e6c203da26800e83d838fc4247b859d594086361","observation_id":"bab7ce43-e16b-46c0-9f38-528c012ffae5","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:4be58a262ae38fb378d8899e6d93b9c9d752cba13ac861077c0b42294aa387a0","observation_id":"c002c776-6371-4c39-97c0-8ccd741a928d","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:feabcaa128b06227764b8ed6d64eb32319283e783e53ea8e717fe3e01084da22","observation_id":"b13777b7-0f1e-452e-a5a9-76e0218104e1","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13181","last_updated":"2025-04-28T18:01:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-17T17:59:57Z","title":"Perception Encoder: The best visual embeddings are not at the output of the network","version":2},"cited_work":{"arxiv_id":"2504.13181","doi":"10.48550/arxiv.2504.13181","metadata_source":"pith","pith_arxiv_id":"2504.13181","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Perception Encoder: The best visual embeddings are not at the output of the network","venue":"cs.CV","work_id":"409be941-4d4a-4ceb-a28a-eaa2d7709a1c","year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"cited_paper":"/paper/2504.13181","citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:cc87e59ee5b88c9e93697df2ada7a62c0aeee7535f7d1059170a1a74916c39e7","observation_id":"4f347732-b9e8-43eb-946b-23be2398a15c","resolution":{"observed_at":"2026-07-04T09:59:45.900457Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:220fdfa6e4d48fa5e0ec65355527ec8f2431d9526ec789f35ae05d1d7e5b9362","observation_id":"8289a7f9-0e21-4eb4-b70f-6330d75c019e","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:07bb0b4ae200696593440498ddbe4e132024c25a7e1a3da0a4dbbd4404f1a5f3","observation_id":"8247255d-3cc2-4555-885f-7f6eceead6a0","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:7ed9277050ef63806aeb31ae8567dafb62a01bf87907a774238e3056c3e3be28","observation_id":"1ff11ee3-051e-4feb-bd4f-6fa26043a44f","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: NeurIPS (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:118b532f61d86ac8000ff6be5afac71067b7a7bd01c5923ae8dd0d94a126364b","observation_id":"596f3ec7-6167-49e7-ae86-3341b0895324","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:930e1e945adb828392b383db43eba48786bf119d6961ab91dddd708275d9df87","observation_id":"bbc4ab5b-6177-4143-9af9-c3540b9d25fa","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: NeurIPS (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:9a1f1a2de6b6091d8defae98c40a2040291a2c1934ef960a6ab1a49589d6c19b","observation_id":"8b36ef6d-c7c6-4e4f-8a8b-58abec733986","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:ab6a579b756a1245a60eb590e6170c6e3e00c74db7ec2c3b4d8b24428fd2815c","observation_id":"4efb0c3e-34f0-4c56-9b0c-effed3f55382","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:b51826384c46a65431d3a54dafc2bdbf53ebf8cc5a86ab2db60f2cc614dc02b0","observation_id":"9e308f81-49ec-4cda-ad7d-6b2560ae975e","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:795179864dad6981da418688b52080ee4a3c7097c8b32d7d83ce8cd9d3b036e3","observation_id":"c837bf28-4bb3-4aa2-b1ed-223c66d3403b","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:4f50d994e91a8c08d210d6b834f8c3b336cdf605f47dc09d719e0ecaf8e37239","observation_id":"9edddb72-2949-4b10-9e75-78cfccd5d9bf","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"Journal of Applied Meteorology18(8), 1016–1022 (1979)","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:0037c3dc786d3dbcd0ea5d92e3d608fbd59b65e562d7e5ed2d2657a73f249c71","observation_id":"35631717-1c57-4a76-8b8d-9774b2eacac1","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:55c24620d8e5a243af3acb48a8e8da1989c0fc48709ec70e2caeb4d0732e9ad9","observation_id":"e9cc0cc2-eaef-46bf-8687-94a0c59a56a6","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"Neural Networks107, 3–11 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:bb1d1c488fca5a8b509b354b5b446790142d317a759083930936ba848db1cfda","observation_id":"744ef19d-f3fd-4045-b269-214102f2b439","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"IJCV111(1), 98–136 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:32cde7533193d02b22e84021360ec6154936ad958d6e96bc303ce11cf75542ba","observation_id":"52f8ec4e-dbe9-44a9-87c3-05a7e7746728","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICLR (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:9be9c60e8fae5eb6fc94f9edcd68c9f32e19391437c53f9d409454c4cec6c3f0","observation_id":"0716b1db-92ef-470b-997f-aa9a44e223be","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:93d4f7bd0eddd350a0d0fa70e90a95185e6566ac9cab46ab8cdb535e14a0bada","observation_id":"ff73bd22-e09a-47c6-b482-0566011bab63","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:decf840af39ba43fc8ebe7e901c012584fc4a20967735684c86d6336fa8d62d6","observation_id":"dbb9e027-0901-4c3d-afd2-0e87e6dfcb38","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:ebfad5a7d78b1923b855e0dbb286a926d3cd90fe54b0c4fdffff0c6032a16c5c","observation_id":"d2338a19-7a16-458f-b0b0-52086592c415","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:ae8c075e03e1baec8e2e568e5237acd44aa4232aee7715abd2a7f710c800279e","observation_id":"697cf8a7-e97f-4471-9a65-6d01488288b2","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Regis- tration","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:4a5e5c9f02dfb5820d2708a2693f5c0c640ce5333e9a17b557f8b8ae7d0f8d8a","observation_id":"9cb3ae38-c198-4827-aa68-1e5a64d4cd2e","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:d11043308667809d22a35691bafec01a78bcc380749d600aa3f8e0eebcdfa1ff","observation_id":"5d8ee160-bb42-4c10-807a-697fa9ec9313","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:a8732a6ba595255514c0dd60db6ec15aa968899d58fca8920196fa2fd639e975","observation_id":"d1905256-3e49-48eb-af9b-ffda2e7cd35f","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"ACM Trans","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:90fe21f81c291e242ea0643a6369c3f64656d5601d0e8fb634cc81b865002413","observation_id":"55435733-200a-48c3-8752-273b03105d2b","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ECCV","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:bed8074c61b4926f61ff5d4c494ed2a4044343b6982dc63ed1114f1d3f274a86","observation_id":"72ed18bd-0de2-4059-ada0-5e89761fdf05","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ACM MM","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:8be5b431745b31b54a28f10d6d851682ca6eca36a02eae1b2c40d6fa1429f718","observation_id":"388413a5-fb38-470f-9a86-d95122811345","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"AAAI39(23), 24458–24466 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:44235a001b19818bc3b7d6d5566307517e87f6951faee40581bf4357f99b9c1c","observation_id":"11305f89-d500-4723-ac56-5daf8066afd8","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICLR (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:9d0f114efd289139edacda34ebd234707b1973f3899268ef5809fba40c6d3924","observation_id":"bfbcb7d5-ec47-4e8e-b00d-8ac43a7aa8b6","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICLR (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:96902fb3ff9f05c8e61d9c3179216b677b354e771fdd13a201a304cb2c947258","observation_id":"4667f0cb-5013-4bf1-ab63-0f798a7916ec","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"IEEE TPAMI44(1), 242–255 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:0e21e8c6bc6cd660c78bfab3a793a9db7929b95295cc41318326824211a423ad","observation_id":"c9bbe43c-88e2-48e2-ae47-12cc05b42628","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ECCV","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:ea2d3a9c4226e77c8dffc61aea6f0639337d5f3cd275247ab3660f72ff536e6c","observation_id":"f16fa917-e362-4c85-a556-9e9f874f5fd4","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: NeurIPS (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:fbae7dde83b73282c6af7ba1959d858366516e8d70cc7a4cee035b6a84b92f71","observation_id":"121deed4-f355-439a-ad4a-47ce8811fcb1","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"College of the Redwoods 45(1), 1049–1060 (1998)","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:c89596004cc6982ed3b95f2047858efe8c6c82be9ae4041b953d44d5715ab6e6","observation_id":"daac2404-9907-464c-a924-0284ed2f3f75","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ECCV","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:43e0302993df2df3f8a6859fb00b53b1b97b20a6e05312beb8372d2395879a37","observation_id":"88b0806f-e273-47ca-ad69-d60d91d6a615","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"TMLR (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:a08528b0c201b866402d403af7f0029f892356b839d54e0c0bc02e097cdb1ab5","observation_id":"bf8dec2f-faf2-458a-a42b-d4f756d91510","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.00675","last_updated":"2018-03-01T17:50:08Z","snapshot_observed_at":"2026-08-02T10:51:13.194643Z","submitted_at":"2017-04-03T16:44:46Z","title":"The 2017 DAVIS Challenge on Video Object Segmentation","version":3},"cited_work":{"arxiv_id":"1704.00675","doi":"10.48550/arxiv.1704.00675","metadata_source":"pith","pith_arxiv_id":"1704.00675","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The 2017 DAVIS Challenge on Video Object Segmentation","venue":"cs.CV","work_id":"e062a88c-5ea8-4ba0-97f0-3aae55fee107","year":2017},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"cited_paper":"/paper/1704.00675","citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:10ea5e4578fc02b83ffd329588f792a338c7073c88882230e7821ae69d39758f","observation_id":"c5f12618-4233-4371-a031-61c5cd3105cf","resolution":{"observed_at":"2026-07-04T09:59:45.895228Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:4ba2d5caa9242f51676f982089f7a2a08c5c20063eac4bb2e135ebe4719cae2a","observation_id":"4b4f0d49-1d53-42f0-a291-f0365888dece","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICML","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:c9381480aa6cfd40b18e156e487434466111006488dbe2b8cc4dbd75ca918708","observation_id":"75731627-a345-45e4-9dcf-d776ca4cd2c9","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICLR (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:cd6e88b5c646d5c70244e29f950f5275562b81524ff9b5ccd943788249d88be9","observation_id":"b47005bb-2214-4ec7-81b2-1d0c563570bb","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:2e0435f3c1aa539947b99ecfea838f3c86a794eacfa619f3b181de2fe806c44e","observation_id":"658c107d-1a4d-4cdf-8b91-9122c3d2ff10","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"NeurIPS37, 9153–9177 (2024) 18 Ding et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:0ca9942255cc5ba32a67a236e7479a60ef79b20fc89cceb588b70da91568bcde","observation_id":"032580be-9e07-4910-919c-a7846c03e949","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ECCV","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:e7efa71d0e04da2275351d6afdb661d0ad575b629dcb9aecc52b8d262f118878","observation_id":"2651aa26-8f61-463d-8ec5-49d9034073ef","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10104","last_updated":"2025-08-13T18:00:55Z","snapshot_observed_at":"2026-07-06T22:12:35.584339Z","submitted_at":"2025-08-13T18:00:55Z","title":"DINOv3","version":1},"cited_work":{"arxiv_id":"2508.10104","doi":"10.1055/a-2487-1252","metadata_source":"pith","pith_arxiv_id":"2508.10104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DINOv3","venue":"cs.CV","work_id":"c8b07deb-8fe7-4e18-9620-f3569d3529ce","year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"cited_paper":"/paper/2508.10104","citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:0305b5440e77612bfa4f3d98e37940badb1397507e74713e6e0d6ce3111ba17e","observation_id":"c9c5ceb3-eb5a-4b2a-9f66-f48bab4f16b3","resolution":{"observed_at":"2026-07-04T09:59:45.892694Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-26T09:11:58.462376Z","title":"Neurocomputing568, 127063 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:a5240dbcbdde90c4a8a8efdb10bc75030a9f40c925a3cd458841488dfa6ce70f","observation_id":"90330f28-c0c5-4e75-a68b-bf738fbfad3e","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICML (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:45950a88f39b3da7c466ca5978239badfdf954768c54a95dacd2a3eb5a327fc0","observation_id":"31d8b8f0-583a-4c5f-b10d-20a8b292e703","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ECCV","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:0afeb02cb780e00d86bd4f44acb7786770a6df3e30dadd9b725d756a93482ed4","observation_id":"e3958c4b-dadf-4aa0-9bc0-120cae61229e","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14786","last_updated":"2025-02-20T18:08:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-20T18:08:29Z","title":"SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features","version":1},"cited_work":{"arxiv_id":"2502.14786","doi":"10.48550/arxiv.2502.14786","metadata_source":"pith","pith_arxiv_id":"2502.14786","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features","venue":"cs.CV","work_id":"50eec732-2d41-432f-9dcf-ac7fff235ea5","year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"cited_paper":"/paper/2502.14786","citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:d7be7dc1d671fe369ed65dcd4db34fb4cfa13d0281feb5bc69522dc3479dfdb8","observation_id":"0c9c6fd5-013d-4589-86ae-bc0e484356c2","resolution":{"observed_at":"2026-07-04T09:59:45.898093Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-07-10T23:49:08.777694+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T23:49:08.777694+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:011be35fa64c76ae6a044b4224f1d707783bbd56b67496a8fde15bb6c57d3ae7","observation_id":"bfd0cc80-e314-4746-a67f-1d346c4668fc","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:65519766dc066930c9f81a7d9b1546711bb84c6e82506c0d072b827c2b290244","observation_id":"a27c5c05-7f90-4dee-9a6b-c1d72dbf7722","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICLR (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:02765cec5c934e7617b39d3d9eb181f2f6b57e7bbb36b07cfd5e2100cc51808d","observation_id":"250e3b08-a008-4cc0-acab-6f56525ec31e","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ECCV","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:58aebf75e7a1f2c0396606b8fe157e4b5c64b52c800d526e02a121afc820089a","observation_id":"5798ca9a-42f5-4df6-8ba2-409df1107396","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ECCV","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:72ef552d2bdb06644df45e2383d07a2582d77c3ffab72708795ae0fe1e0bebd4","observation_id":"8437e99c-835a-446c-972c-4d85e5266871","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:81af65bb832842c1c5800bb503190c26718538a06a9045078c463bb32d2f1ddf","observation_id":"c4dc1fb3-3daa-46fe-91c3-526ae5e6eaaf","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16671","last_updated":"2025-11-23T00:34:43Z","snapshot_observed_at":"2026-08-02T18:24:11.208164Z","submitted_at":"2023-09-28T17:59:56Z","title":"Demystifying CLIP Data","version":6},"cited_work":{"arxiv_id":"2309.16671","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.16671","snapshot_observed_at":"2026-07-04T20:50:12.667951Z","title":"Demystifying CLIP Data","venue":"cs.CV","work_id":"7af932a5-c6d2-4f55-9522-7777cc3fa5ae","year":2023},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"cited_paper":"/paper/2309.16671","citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:72bb0acde6a54eec27f330c4475745a2e2b30401c3c9f57c7c2165be46ad4b36","observation_id":"c5a51d03-f6d1-4bc0-9e31-f9d40a90c5ec","resolution":{"observed_at":"2026-07-04T09:59:45.902604Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-26T09:11:58.462376Z","title":"In: CVPR","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:9fb302020577168a98c3365a47890325c9941c7c796b1b3140f869470aaf18f6","observation_id":"a805410a-1b7c-47af-80fd-0a8825fe16b1","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"NeurIPS37, 21875–21911 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:524ba9ac1fb7b554f1d7e2d0edf6d3a1016f25671f9a9cb4b1bd7a32305b9ebd","observation_id":"46e6b14f-c375-4cf3-b378-d7be94803ea8","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"In: ICCV","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:2f6626bd9fbebfcb2c8d36f9140bae76ff3bf70e67b9c4b0d45d2747f0b0a7b7","observation_id":"9559ac66-afd9-42f6-ad0e-fc2341ffadc5","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"a photo of a {label name}","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:e5a7ca3b9fdaf6024672167153be586185f59d86cd3cffd1a9df045a8454a991","observation_id":"5f5deaf3-4c36-4a75-b97e-c080a4373ef7","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","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":"2026-06-26T09:11:58.462376Z","title":"5 demonstrated consistent performance improvements, further validating the effectiveness and scalability of the proposed model","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-06-26T09:11:58.462376Z"},"links":{"citing_paper":"/paper/2606.22749"},"observation_digest":"sha256:ab9c1025e8ad91681a6b8d95882fb66c7b36a874d97aee3312bf2cc9c1059196","observation_id":"279940e1-1e41-46a1-b3d9-8df809a5316d","resolution":{"observed_at":"2026-06-26T09:11:58.462376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.22749","last_updated":"2026-06-22T01:37:56Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T23:37:27.682183Z","submitted_at":"2026-06-22T01:37:56Z","title":"RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":58,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":63},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2606.22749."}