{"as_of":"2026-08-18T04:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8a5ba96f412ea45ab90f5737931ee715d48e440144cfd37f1345ce9c9858ff5","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:24:43.516542Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2508.12861/citation-record","integrity":"/paper/2508.12861/integrity","json":"/paper/2508.12861/citation-record.json","paper":"/paper/2508.12861"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:24:43.252680Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.252680Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:334bea5440b89094f3958998d5a9b4025c9c1a52ff6916fa39656cfdfd3154ea","observation_id":"0feb147f-23fb-48bc-885b-234172896a36","resolution":{"observed_at":"2026-08-15T17:24:43.252680Z","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":"2026-08-15T17:24:43.258935Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.258935Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:85b40b81ce1037e46f5a3148579b3f2ca6f279baa66086b620c59ac1feef6e8e","observation_id":"cfa2b976-64cd-4320-8164-e7165f4952c8","resolution":{"observed_at":"2026-08-15T17:24:43.258935Z","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":"2026-08-15T17:24:44.315194Z","title":null,"venue":null,"work_id":"a9610c92-0369-4ace-8545-9c40cb5c24d7","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.264751Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:728eb37c9efe0b9e28de8ca5e5804de219e826a5d57e0209f454579ef76a74ef","observation_id":"f8ee403a-f76c-4597-b59d-a928bc343f9c","resolution":{"observed_at":"2026-08-15T17:24:44.320074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.299889Z","title":null,"venue":null,"work_id":"09db502b-9a6e-45aa-87d7-c1656c26a6b0","year":2014},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.270022Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:baa8284182559901f7fce8edc21a9b6ae5ccca21c438a5d2e75a7e4bd9304c0f","observation_id":"81339513-e176-427f-9524-3afe087bfb36","resolution":{"observed_at":"2026-08-15T17:24:44.304640Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.283070Z","title":null,"venue":null,"work_id":"4749e797-4954-4a8e-a3a9-6cc4fa7901ce","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.275030Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:105d536e1b5dc1e446bc3b101a73b1f40d5d18fbb43058308fe791b9f764a6ed","observation_id":"af6ffcce-894b-46f1-942f-8952a8ea98c9","resolution":{"observed_at":"2026-08-15T17:24:44.288758Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.266141Z","title":"J.; Chen, C.; Li, Y.; Chen, T","venue":null,"work_id":"1befbad1-7463-4c03-bd32-d15359258aa9","year":2022},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.280289Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:d9bb1204f08c5eac647f69479e5dba69f14a48ef0d52131cab9ef0c4d88e398c","observation_id":"a0251004-658c-4e0a-a362-740a4dd28501","resolution":{"observed_at":"2026-08-15T17:24:44.271280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.285406Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.285406Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:6dd875ede7a934b61d30a0d9a5467befa1bac48d1ec94636486dcc739b14fa3e","observation_id":"a25dc904-53a0-4757-a2ca-684f7d56ca87","resolution":{"observed_at":"2026-08-15T17:24:43.285406Z","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":"2026-08-15T17:24:43.291374Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.291374Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:d22f32b319399ce024972fde6ac4924a8c3ab7d475eaebb5c4af2a109b504303","observation_id":"e5ba2fa4-e361-43de-9e72-20dcdb6a9a81","resolution":{"observed_at":"2026-08-15T17:24:43.291374Z","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":"2026-08-15T17:24:43.296749Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.296749Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:797ff71b9fafc3a8c7347c099656f036f67a11ea5cbc6acc4ec5f9a2afb6ae09","observation_id":"5732c7b3-5759-4e7b-a904-5ce9bb381537","resolution":{"observed_at":"2026-08-15T17:24:43.296749Z","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":"2026-08-15T17:24:43.301558Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.301558Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:e82f994733066773d49342ea902a9b78834f412c53973799b70cbc666bccc404","observation_id":"ddc3a42e-b91c-457a-a87b-d7e31c7414f2","resolution":{"observed_at":"2026-08-15T17:24:43.301558Z","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":"2026-08-15T17:24:44.208248Z","title":null,"venue":null,"work_id":"8b6eca86-09d4-422e-9103-c16901c5bb91","year":2007},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.306347Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:b88b3a4e07557c93f77bb9f1fff2266dc0b4cecb5af7e50a52c5e456bcde53c7","observation_id":"43045d9b-a056-49b8-9830-9232899a4f36","resolution":{"observed_at":"2026-08-15T17:24:44.213277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.192462Z","title":null,"venue":null,"work_id":"20cec2c9-1ce1-4f22-b62f-60ad79d036e8","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.311314Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:810107be52009ae12bbd55bc92875f3d1b560fefec1b0f5140d533d32526613b","observation_id":"356397e4-5680-47da-b87a-c906ab54373e","resolution":{"observed_at":"2026-08-15T17:24:44.197112Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.176282Z","title":null,"venue":null,"work_id":"0625663b-9c2a-4777-9a8d-70d1eb06e499","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.316075Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:5ef1b1f97fbaca9ebae2e370df18619eb63cf600d4bdd0ad34b3baaec62e6df6","observation_id":"e31cd9a6-e530-4748-8ac3-ba13dcd36418","resolution":{"observed_at":"2026-08-15T17:24:44.181604Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.159364Z","title":null,"venue":null,"work_id":"a0c6f19f-54d7-4030-b9da-f2b5f1707e82","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.320699Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:e82a7c35bbc6178654cde9198aaeb9c4f1834ac31f885672805c1683d6102f0a","observation_id":"52ca9329-0115-469d-af65-07e8f3216372","resolution":{"observed_at":"2026-08-15T17:24:44.164324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.144093Z","title":null,"venue":null,"work_id":"87330089-61e9-4b41-9ff9-3c99ead58ca4","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.325939Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:4eda8afc739f0657627aa2bd84d913b5cedcab4d3b261c0b78a9c9874ced73d0","observation_id":"10def8b2-6d25-4f64-a304-b980c2eb5c5a","resolution":{"observed_at":"2026-08-15T17:24:44.148896Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.128330Z","title":null,"venue":null,"work_id":"0f8c4519-7bd5-4bdb-8a39-8ac74154dcdb","year":2019},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.331059Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:c931280bb36478989422d19286bc74ad37a17dd6f2cf7823b822b758e8f93f55","observation_id":"ed5647d7-4b2f-4a5e-b6b7-49961a4e5d9d","resolution":{"observed_at":"2026-08-15T17:24:44.133602Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.111201Z","title":null,"venue":null,"work_id":"14668e79-6c12-44b3-9513-40f5d296bbaf","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.336953Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:910a9688f26eb317e5b9f8d64b0f73667fabdf2ec3a8563d5080612aadc72d63","observation_id":"37931f96-1cd4-4a84-92b1-f43c39d18578","resolution":{"observed_at":"2026-08-15T17:24:44.116692Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.094198Z","title":null,"venue":null,"work_id":"e627d8d7-f951-485e-a4ec-ce6f997aa1b9","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.341555Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:d78b9ef40caa3760455f43d3680736d87ccba33c7eac7f9665d0c298d1b41c4f","observation_id":"ed67b765-6ef3-4060-8883-6d18da7dc058","resolution":{"observed_at":"2026-08-15T17:24:44.099108Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.346437Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.346437Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:8ffca2a5d8ad4d037ffba7dd9f77c450f78fda1472e095d5e6991c9444f0137e","observation_id":"8e20b653-7439-4ec3-9b01-45ba13c80775","resolution":{"observed_at":"2026-08-15T17:24:43.346437Z","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":"2026-08-15T17:24:44.068359Z","title":"U.; Rasheed, H","venue":null,"work_id":"baaa081f-d3a4-4e32-99b1-cb6ed5b2c378","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.351127Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:375be369059f9a612ab705de56386ca6fea3b67863de92ba51ff36d5d5ec40fa","observation_id":"c65357a4-207c-400e-be01-f0f275b33b2e","resolution":{"observed_at":"2026-08-15T17:24:44.073003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.051288Z","title":null,"venue":null,"work_id":"4664d001-f97d-4ad8-9191-5b53cfdc263f","year":2013},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.355868Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:995b4290977ca17f8b1f0ae52d85430beeb75df60d5a1477c854a01cf910338f","observation_id":"acc2be23-19fd-427b-b5b8-3d5471de60db","resolution":{"observed_at":"2026-08-15T17:24:44.057082Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.033479Z","title":"W.; and Bovy, J","venue":null,"work_id":"5b3ff678-4669-44b1-831e-e0eb467caee3","year":2019},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.360609Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:b0a732f62273e7373fe4c7fc5f8b72bf98c4900b1bb28e411d3afea7ea6f3b6d","observation_id":"8a4ca0fd-d5e1-4504-a09e-801bf270e10c","resolution":{"observed_at":"2026-08-15T17:24:44.038871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:44.017184Z","title":null,"venue":null,"work_id":"1b765961-7a82-4500-83a7-164687f2d377","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.365351Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:9edcd1ee97618af8831ef1b890a915b162d110fc272ab7932f7dbd61789157cf","observation_id":"60176ff7-8a1a-47f5-b644-708c8fe580a4","resolution":{"observed_at":"2026-08-15T17:24:44.022178Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1306.5151","last_updated":"2013-06-21T14:31:57Z","snapshot_observed_at":"2026-08-12T17:35:23.022229Z","submitted_at":"2013-06-21T14:31:57Z","title":"Fine-Grained Visual Classification of Aircraft","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1306.5151","snapshot_observed_at":"2026-08-15T17:24:43.369963Z","title":"B.; and Vedaldi, A","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.369963Z"},"links":{"cited_paper":"/paper/1306.5151","citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:7a5ef0427ae6b06c7ac7104d7c2479f87c94c06988db32a27db8749be86150b5","observation_id":"7fa57e0f-dc2d-45fe-b808-8443667918d3","resolution":{"observed_at":"2026-08-15T17:24:43.369963Z","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":"2026-08-15T17:24:44.000944Z","title":null,"venue":null,"work_id":"9f6a1f47-a7a5-4bee-a47b-5e44b6d41e77","year":2008},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.375235Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:b284f3f4ad42609ff12f7133ec5a77f5a6a2c909a6c09bcb598f9efc69bc3ae2","observation_id":"1f2c8e35-693a-4a7a-af67-fbeb496fbd04","resolution":{"observed_at":"2026-08-15T17:24:44.005969Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.985260Z","title":null,"venue":null,"work_id":"28367746-0433-47bd-b46e-0546bd6880c2","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.379883Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:cf62e498b4fcecc27de0b6f7dab42f9042e2d46b663845290971ecd0ed2f42a1","observation_id":"2c9af275-7687-4bb5-ae63-9adbd47e93b7","resolution":{"observed_at":"2026-08-15T17:24:43.990197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.969677Z","title":"M.; Vedaldi, A.; Zisserman, A.; and Jawahar, C","venue":null,"work_id":"981fc969-475b-4fc8-a606-59b0b9b421fa","year":2012},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.384434Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:fdf3599a76da019a9405e2f085f5205ebac6d7f616c1aa67959a13052dd7ce19","observation_id":"41439acd-83c4-4746-b3d0-18ddb4a4fc15","resolution":{"observed_at":"2026-08-15T17:24:43.974357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.389634Z","title":"W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.389634Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:06913dadb76aee1100d323ee6b6a86b43cbba7e98564ae7890ea9627eb86d905","observation_id":"f586b1a2-6dc5-439f-8ccd-8d944312f4e3","resolution":{"observed_at":"2026-08-15T17:24:43.389634Z","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":"2026-08-15T17:24:43.943315Z","title":null,"venue":null,"work_id":"ec2edef9-56e5-41e5-a5bb-7fdd610be93f","year":2019},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.395101Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:69ee65dfc71c8b508a00d871c0f7bd21dd9ffeb8130b432a6f29ddfa8be76982","observation_id":"edb5742b-8fe4-4ad2-ad19-8a6ab4f2695e","resolution":{"observed_at":"2026-08-15T17:24:43.948156Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02114","last_updated":"2021-11-03T10:16:39Z","snapshot_observed_at":"2026-08-02T08:12:49.547570Z","submitted_at":"2021-11-03T10:16:39Z","title":"LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02114","snapshot_observed_at":"2026-08-15T17:24:43.399837Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.399837Z"},"links":{"cited_paper":"/paper/2111.02114","citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:558653e4d9db9fb8785931fbb89d99a8ade216faa3bb28b770fa82c50c95d39a","observation_id":"9ee79851-513f-44e8-9f11-324d9a9f2892","resolution":{"observed_at":"2026-08-15T17:24:43.399837Z","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":"2026-08-15T17:24:43.405097Z","title":"R.; Cogswell, M.; Das, A.; Vedantam, R.; Parikh, D.; and Batra, D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.405097Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:b531984221f7d3f41603e9f67692fa74f8a4de77d379003c31e34d91af2e0c55","observation_id":"ff1aedd6-9e45-49c3-a7eb-399b9ce722ce","resolution":{"observed_at":"2026-08-15T17:24:43.405097Z","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":"2026-08-15T17:24:43.917804Z","title":null,"venue":null,"work_id":"ec98654e-dbde-4d3a-91da-987ccdd568b3","year":2013},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.410546Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:633df23af913c1409867464fdc6f43437f657b01b286a7f760e859a4c05fb206","observation_id":"0f465a93-d1b0-4eca-a916-acbca49c6cbd","resolution":{"observed_at":"2026-08-15T17:24:43.922467Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1212.0402","last_updated":"2012-12-03T14:45:31Z","snapshot_observed_at":"2026-08-16T21:21:44.768787Z","submitted_at":"2012-12-03T14:45:31Z","title":"UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1212.0402","snapshot_observed_at":"2026-08-15T17:24:43.415266Z","title":"R.; and Shah, M","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.415266Z"},"links":{"cited_paper":"/paper/1212.0402","citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:3f08312d3cb722463e0114d6e1d55b14c7f532292496bbe2e7e16df0bf517359","observation_id":"ecdc129f-6eda-4511-bbbb-45f5c7c54318","resolution":{"observed_at":"2026-08-15T17:24:43.415266Z","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":"2026-08-15T17:24:43.901394Z","title":"Y.; Wang, X.; and Cao, Y","venue":null,"work_id":"e4b6c308-9dbd-48c9-85e6-3187691fdf78","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.420807Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:553e2419f155cbd19d4754a9cf61256dd6532604821fee6f18d16a54a28d49eb","observation_id":"a7d47eed-8a0a-4f3b-9922-9d7b1df061ac","resolution":{"observed_at":"2026-08-15T17:24:43.906744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.885676Z","title":null,"venue":null,"work_id":"a591d5cc-b0ba-4af8-a973-442b8914cee4","year":2016},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.425550Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:fc9754d0ef17c1ad6dfc5eff779b8de6d0393ec37e847b21c2f10e87f7af373c","observation_id":"a3ae9779-466b-4900-8c5d-8b28a29a9143","resolution":{"observed_at":"2026-08-15T17:24:43.890723Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14786","snapshot_observed_at":"2026-08-15T17:24:43.430768Z","title":"F.; Alabdulmohsin, I.; Parthasarathy, N.; Evans, T.; Beyer, L.; Xia, Y.; Mustafa, B.; et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.430768Z"},"links":{"cited_paper":"/paper/2502.14786","citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:f3c38c566e41f971e9ac6dbc903006f3009fbbfc8b82f9329e7651f5b4fd3a12","observation_id":"f07d8026-0204-46fa-b70e-64c9cec024bb","resolution":{"observed_at":"2026-08-15T17:24:43.430768Z","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":"2026-08-15T17:24:43.870140Z","title":"S.; and Santosh, K","venue":null,"work_id":"baf8827f-2de3-44af-8726-08024e9cb530","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.435926Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:3b7571a3a74b9bda9ded7332504371e70868957666bef4dc758ff9ed5707e607","observation_id":"8144bc0c-9270-4eb8-aee9-54b65638ca83","resolution":{"observed_at":"2026-08-15T17:24:43.875166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.853562Z","title":"C.; and Xing, E","venue":null,"work_id":"d6f05a13-9d11-493a-b462-292d5f5379ef","year":2019},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.440781Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:dd6d8be69f0443e6ee62a9e308ec59004e464672e23135cbe137a6135adbd0c8","observation_id":"8c2f8862-f0a2-4c14-93e3-fb764b652174","resolution":{"observed_at":"2026-08-15T17:24:43.858986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.837170Z","title":null,"venue":null,"work_id":"ba47bbca-5063-426a-a28c-306d8baed1b3","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.445468Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:7c1ead425dfc6275a5402ae31bf8fcbb8a74fc7f5b0fdf0a65188ceb1da14ff9","observation_id":"041dea28-924e-47fd-8d23-380f649b3455","resolution":{"observed_at":"2026-08-15T17:24:43.842147Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.821657Z","title":null,"venue":null,"work_id":"538fd036-9816-49fc-aa8f-291f99d4db3c","year":2025},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.450381Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:c67598cd33dcef348cc9b485a8c3fb3063733ae2ee0375430b3078b90fba4121","observation_id":"3779b5ff-9077-40a4-b7a5-1f79f3b649cb","resolution":{"observed_at":"2026-08-15T17:24:43.826597Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.806469Z","title":null,"venue":null,"work_id":"5a7e050c-ed82-441e-9832-46c9e7d04bf2","year":2019},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.455710Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:feb8697d259d58f33d344f3b8ce797e97419e47511aade699deab08761dafeec","observation_id":"284c1251-e9f7-412c-b97b-64c080c0981a","resolution":{"observed_at":"2026-08-15T17:24:43.811422Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.791331Z","title":"A.; Oliva, A.; and Torralba, A","venue":null,"work_id":"2c4e563b-ac8c-4e09-9db7-1ced0f9a3286","year":2010},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.460619Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:12510210dc141174811585394bebc7b20f5e6ac17d354ff2f9b836c0f2aa036f","observation_id":"838a1cca-2608-4973-9a87-56fa351f4ff0","resolution":{"observed_at":"2026-08-15T17:24:43.796154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08176","last_updated":"2024-12-11T08:07:12Z","snapshot_observed_at":"2026-08-11T18:05:02.380779Z","submitted_at":"2024-12-11T08:07:12Z","title":"TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08176","snapshot_observed_at":"2026-08-15T17:24:43.465367Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.465367Z"},"links":{"cited_paper":"/paper/2412.08176","citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:95cae21b80dc841750c122386e2451501534d8c94b1dcaa3d0c31001e16528bb","observation_id":"c8820b49-43d7-4388-be14-cbd3c587cc08","resolution":{"observed_at":"2026-08-15T17:24:43.465367Z","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":"2026-08-15T17:24:43.774760Z","title":"E.; Huang, P.; Howes, R.; Sharma, V.; Li, S.; Ghosh, G.; Zettlemoyer, L.; and Feichtenhofer, C","venue":null,"work_id":"4d62e275-70de-4061-b4c1-cc7828baba68","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.470744Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:52e2195fe9cca9fe0befe2c8673a0e5fe1fbbe5ef60539eb19012d2e272b3bec","observation_id":"226640f2-fd6d-4fce-a136-b83acff424ab","resolution":{"observed_at":"2026-08-15T17:24:43.780731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.475727Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.475727Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:b150ddfced6e73c78105ec7961c2424199d6bb86a9be1d29fa6e089bc32bdcea","observation_id":"4a807e37-336c-414e-bbd7-d0a8ceaa6ae4","resolution":{"observed_at":"2026-08-15T17:24:43.475727Z","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":"2026-08-15T17:24:43.749170Z","title":null,"venue":null,"work_id":"d615d2d2-5c53-43f0-9ea3-d48f52bcaa49","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.480628Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:5cda2c1f778a2585361efad12cce6e8f9c4027b3ad1d1a4d2afc663ada7e4a95","observation_id":"d7791995-a249-4af7-8718-892baea5c93f","resolution":{"observed_at":"2026-08-15T17:24:43.753837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.732506Z","title":null,"venue":null,"work_id":"a43551a6-f994-4872-9542-257ad205c0eb","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.485367Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:8b89b3548fefcfc4f5f1a6ff2e65e963b275386545ec7919c490630b93b2cb1a","observation_id":"c95ec95d-e76f-48ac-9f6c-b7de7962e241","resolution":{"observed_at":"2026-08-15T17:24:43.737802Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.715250Z","title":null,"venue":null,"work_id":"c8f1c3d6-f10a-4c34-89d2-b1b9df8e1631","year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.489875Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:c1f30e2a047be78d7260620577d7777e94b1d9ebd3a53d868b5812d4a378c502","observation_id":"be06b4c0-4bab-4c68-aa81-290af09ab63d","resolution":{"observed_at":"2026-08-15T17:24:43.720207Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.698698Z","title":"T.; and Song, J","venue":null,"work_id":"ec3d9ad4-380e-4fe3-9bdf-3df172ecfa1e","year":2024},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.494485Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:305bdd4aa41e8f6313a75a4caf354c260d0b67ac0b106c3fc354800d35e24822","observation_id":"59023956-d708-4be0-8c22-d222e8d180dc","resolution":{"observed_at":"2026-08-15T17:24:43.703983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.681911Z","title":null,"venue":null,"work_id":"48fb9550-e6c6-4442-bcdd-46b641768a4c","year":2022},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.499092Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:091d5d39a633603739b7b6cd419b45b46cfcfc051881c0ef0756514fe503666c","observation_id":"9cc5e5b4-d59f-4e3b-99c9-826a3cc1c958","resolution":{"observed_at":"2026-08-15T17:24:43.686946Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.664583Z","title":"C.; and Liu, Z","venue":null,"work_id":"55f847ac-f4ce-4d3a-afa1-287759a187ba","year":2022},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.503681Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:4bde876d2324331cef5a6c66bb03fb609d3538f28a8c562028d2e95fdc5544f0","observation_id":"3a35d4f7-231a-4f2f-86b8-0d83e57bb64a","resolution":{"observed_at":"2026-08-15T17:24:43.670006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.646287Z","title":"C.; and Liu, Z","venue":null,"work_id":"37fc733e-ec03-43eb-ae3b-cfaf22d50754","year":2022},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.511742Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:e597d06b9c2f7275411057acd2cef10b7c8ca942fd1aef43578afcce31fa389f","observation_id":"aacde2f7-10f6-4912-b16d-79bc3f734d35","resolution":{"observed_at":"2026-08-15T17:24:43.652205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T17:24:43.516542Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T17:24:43.516542Z"},"links":{"citing_paper":"/paper/2508.12861"},"observation_digest":"sha256:0b17dcb62f135c9848c58429082f36494a606ebdab4a92cacdd7769124f9feb0","observation_id":"b431ff80-74b3-41c5-8cd5-f1ccd898d20f","resolution":{"observed_at":"2026-08-15T17:24:43.516542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.12861","last_updated":"2025-08-18T12:00:09Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T17:15:52.425621Z","submitted_at":"2025-08-18T12:00:09Z","title":"Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":53},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2508.12861."}