{"as_of":"2026-08-04T14:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7c210a1f1c9d847da3ba20771c9f2871b76fdc304f2ba478307f12771668e4a","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-16T15:22:35.204623Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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/2601.09746/citation-record","integrity":"/paper/2601.09746/integrity","json":"/paper/2601.09746/citation-record.json","paper":"/paper/2601.09746"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"LLM2Vec: Large language models are secretly powerful text encoders","venue":null,"work_id":"faf8b0a7-0e60-4446-87e9-0dfa65108471","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:aa14e63665379eeac4e0a4728715638ead710c7a3f4758978980deb3fcc8e08f","observation_id":"6e2e8eea-796d-4368-8b41-c56caa12cd8a","resolution":{"observed_at":"2026-05-16T15:23:02.162468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Internvl: Scal- ing up vision foundation models and aligning for generic visual-linguistic tasks","venue":null,"work_id":"a65d7d03-3db3-48db-b4d0-a931d46b670d","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:86213ac358e95fd81e8d4244ba869288ba9c0c8023298550865ac30eeb8c0e90","observation_id":"f9dccdfe-4216-49d4-b713-44424d83a2f5","resolution":{"observed_at":"2026-05-16T15:23:02.237918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Reproducible scaling laws for contrastive language-image learning","venue":null,"work_id":"579af6a2-c392-4162-88b0-c6ca171da500","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:9ceb77edf8d1375ed624e9d1c56226a1632870be9c7a959c5473287c95abdc94","observation_id":"2625b4d0-cc90-4148-a31f-a0ea6ef61f4e","resolution":{"observed_at":"2026-05-16T15:23:02.160199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The case for human–AI interaction as system 0 thinking.Nature Human Behaviour, 8(10):1829–1830","venue":null,"work_id":"2134e4e5-9d9f-4583-a981-9757daf7f77e","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:8f5cac3b82019923adda8d8218a4b2313f1f569c3c9744afd10b5ea281a8aa7e","observation_id":"63c6293e-a0b7-4621-a8f9-3708d5a9b720","resolution":{"observed_at":"2026-05-16T15:23:02.183516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Distribution-aware prompt tuning for vision-language models","venue":null,"work_id":"132c3291-bc62-4ae7-9c5c-15461c403279","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:957125206bc423f42c7d96ce5d149886aa2fa11f4fe3a8c3af792051012c4cc0","observation_id":"d6ccb2da-6fd5-4311-b054-f2591cca8b8b","resolution":{"observed_at":"2026-05-16T15:23:02.202066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Exploring large language models for multi-modal out-of-distribution detection","venue":null,"work_id":"5a028a81-925c-419d-9d7d-fe311daf2cda","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:7b3403826ff5da3b208c574144cb6009e3661bcace7914e505646c980e848e46","observation_id":"257b2f58-219b-4707-8850-d367bebea814","resolution":{"observed_at":"2026-05-16T15:23:02.146846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Qlora: Efficient finetuning of quan- tized llms","venue":null,"work_id":"7dd44b8d-4ec5-47e1-a592-dbdacb588413","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:73197074ea2a66817cfdceb193afe43bc22ea5fe7a17c0cd76271bb04457978d","observation_id":"9d979047-2322-4bb7-8839-c9ef64d7f547","resolution":{"observed_at":"2026-05-16T15:23:02.176299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Unveiling encoder- free vision-language models","venue":null,"work_id":"5f510408-962e-49c8-abc7-b8966b8a8b89","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:3cf5f393377d0582f17deaee394ef84a75499ef8a869b72bc1c42c50b35274a5","observation_id":"6e9e945e-d466-4e30-900a-527bf5e2e8ab","resolution":{"observed_at":"2026-05-16T15:23:02.221369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A survey on in-context learning","venue":null,"work_id":"e295e93c-4e2c-4f27-bd55-38632cb95d14","year":null},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:35750e10416672b88fb17465e2d7f3b66f1fb55f203e0dabe59d87e5d60187cc","observation_id":"cf1a2418-de86-4ba0-8669-0e3b96c97e46","resolution":{"observed_at":"2026-05-16T15:23:02.225202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"CCG: Rare-label prediction via neu- ral SEM–driven causal game","venue":null,"work_id":"7a73ecbf-e015-4195-a21d-edf0bf160503","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:c8736d3c85236f05f048478c7b8d42a9561b3596160a0d83e04256ee9a46b803","observation_id":"49cf2a4c-a816-4917-8eec-e74ed2fddbd5","resolution":{"observed_at":"2026-05-16T15:23:02.231394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.04544","last_updated":"2025-03-25T14:34:04Z","snapshot_observed_at":"2026-08-04T10:22:52.279940Z","submitted_at":"2021-10-09T11:39:30Z","title":"CLIP-Adapter: Better Vision-Language Models with Feature Adapters","version":2},"cited_work":{"arxiv_id":"2110.04544","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.04544","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Clip-adapter: Better vision-language models with feature adapters","venue":null,"work_id":"27d73cce-f5b6-4e7e-9173-584dd7fb6cfc","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"cited_paper":"/paper/2110.04544","citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:c8cce30631e7cef87705e323dea653736753f4a10ca528f8f0173349e1931869","observation_id":"79b66bf9-aea1-449c-a6a8-283d765ac7da","resolution":{"observed_at":"2026-05-16T15:23:01.918374Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Context encoders as a simple but powerful extension of word2vec","venue":null,"work_id":"f5273f08-d925-4bd3-af5a-60f5d64571f9","year":2017},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:208036fb04034fa2d1f6e4a175938e5852d02c7e4d83fefd86a56c6b24ed912a","observation_id":"9e9ee1ad-8538-4d75-91e2-90463c4fe7e7","resolution":{"observed_at":"2026-05-16T15:23:02.169067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Parameter-efficient transfer learning for nlp","venue":null,"work_id":"c19675b6-2d59-4f24-a3f1-983fe481d0c3","year":2019},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:5a5043bc520b542afa8f7894672e9d8f8268d78c261de1c9fbcd1bfbf5aa998a","observation_id":"04da7ef7-adc0-4e5b-89f2-8e6e719e4568","resolution":{"observed_at":"2026-05-16T15:23:02.114136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":"2e1f96e8-8a9b-43bb-88f9-0c13291b290b","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:631b27ba539f57e8733d74d3b832b2f3f222e5d930aab73c883d07d6b833edfd","observation_id":"a837ee34-0ce5-4739-9a53-b10d092220de","resolution":{"observed_at":"2026-05-16T15:23:02.106109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Le, Yunhsuan Sung, Zhen Li, and Tom Duerig","venue":null,"work_id":"c87e1fb1-3cab-4e3d-af2f-bc02cf664f98","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:b139844160b4404d4906daee2131f377e446b084f17e40efe165bd241a62c27e","observation_id":"26eb4722-f348-41fb-854e-57eb76abc5fc","resolution":{"observed_at":"2026-05-16T15:23:02.164577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Visual prompt tuning","venue":null,"work_id":"94cb8735-b780-4dc7-833c-6928dddeaa83","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:34b410a446d4f4966677dd0d14b635babb095f3a595177ebba3fd5c8276be740","observation_id":"a0799031-45bf-4fea-8320-390d1c515b57","resolution":{"observed_at":"2026-05-16T15:23:02.187398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The power of scale for parameter-efficient prompt tuning","venue":null,"work_id":"6863a42d-4944-4b86-a4fe-2456aeaacdf2","year":null},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:739484da5e60f94489642dc00ab34d8c780697b0543f8655adffee54dfa7f412","observation_id":"9d9c9612-ab6a-4208-baca-d581988adfac","resolution":{"observed_at":"2026-05-16T15:23:02.155114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, and Steven Hoi","venue":null,"work_id":"d41d1d44-5fbc-4626-8e98-8deef3819c3c","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:ef2fb529913c6949e1bae0e00f5b591dd6446f03f14ee689c7c93614818fa0d9","observation_id":"25ddff94-c141-471b-b667-30a76b843910","resolution":{"observed_at":"2026-05-16T15:23:02.151824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Blip: Bootstrapping language-image pre-training for unified vision-language understanding and gener- ation","venue":null,"work_id":"15987664-be1b-4a2f-a956-a6bbb781ba02","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:dcdff9147aae1a3eb4adf6ed75fb369768c8fd34a877aca39f8f590362d9732d","observation_id":"a234a039-e5c2-4529-b392-2acbb3cb2782","resolution":{"observed_at":"2026-05-16T15:23:02.166991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Im- proving the accuracy of diabetes diagnosis applica- tions through a hybrid feature selection algorithm","venue":null,"work_id":"16d165cb-9e5d-48c9-94eb-5b79a02f8060","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:ac0c4ccddaee2be3ff4c7f89cc78aa9e2dcbd9a7698a8d7881e1d9b8c5e38bf9","observation_id":"f3f66739-32c3-40c4-9d61-120ff9c0a6a5","resolution":{"observed_at":"2026-05-16T15:23:02.227264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Distilling large vision- language model with out-of-distribution generalizabil- ity","venue":null,"work_id":"ad53f800-14a5-4d2c-b142-96f5a8c58df4","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:c196355089f6643937d8e163c50cd783c67c70b3511bb130d1a35b19a10860da","observation_id":"bf90cc97-045a-4fc4-aaa5-f04c88504b7f","resolution":{"observed_at":"2026-05-16T15:23:02.213259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Visual instruction tuning","venue":null,"work_id":"50bceeea-34f8-4702-ab5a-3c0ffb1c7f7f","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:dfae1c7dfc43e4b4d28bfee807c8a22b081225a4d480dbee6116077c990220e9","observation_id":"7438f7ed-ab49-4ccc-8498-bdba14221b51","resolution":{"observed_at":"2026-05-16T15:23:02.233863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Towards out-of- distribution generalization: A survey","venue":null,"work_id":"ac3dac7c-24d8-4dc3-a4df-eee5c7bd9937","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:4955a2791d033d0151cda2bd2017fd8dcb4eeb88d4a1eb3ce0ef490facac082a","observation_id":"e49a8ce3-205e-423d-9617-af4cc9560d9e","resolution":{"observed_at":"2026-05-16T15:23:02.140067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Mta: Multimodal task alignment for bev perception and captioning","venue":null,"work_id":"72acf88a-7a31-4d77-8d55-2daa791cd361","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:8e548245d314d6f34918a41cd04b676e023b4456cb9b8b8fa1bcc4d6257676ff","observation_id":"02ed595e-a873-4df2-939d-7ee5bd7494bf","resolution":{"observed_at":"2026-05-16T15:23:02.235802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Adavit: Adaptive vision transformers for efficient im- age recognition","venue":null,"work_id":"fb672a3e-02a6-4157-8291-f9695fab30b1","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:31886f4cb66d8617141d9fee0cfebd612d90fbe77a883a7d67309ecffc298855","observation_id":"319281f6-18a9-4905-a809-97a9dad03e86","resolution":{"observed_at":"2026-05-16T15:23:02.142076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Gpt-4 technical report","venue":null,"work_id":"bc108e20-4aef-4f72-9fcd-fb04d1d9fa6e","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:51d751197a46318776f04ed0e557d66bd435807d1ecdfa6ac7502901ffc02f44","observation_id":"fa0187ce-612a-49f1-a773-60a40df87bff","resolution":{"observed_at":"2026-05-16T15:23:02.195528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learning to name classes for vision and language models","venue":null,"work_id":"25c322cc-0ae0-4653-8e66-08251df6d6ca","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:32bb2d5b2b62e0fa1d0260fce31ce62a1d20dbeaa815d4ce7b72f7db9a83141b","observation_id":"e4f31901-0797-487f-bf9c-47885f306fcb","resolution":{"observed_at":"2026-05-16T15:23:02.191774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Qwen2.5 technical report","venue":null,"work_id":"98583742-61fd-4050-b697-33cf54dce973","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:23284f99ac5d43bfc00451b01bcceda79ae9ec75087db4c5120d04f164ed8305","observation_id":"69c75c70-5b9f-4017-90f4-ba4379241e43","resolution":{"observed_at":"2026-05-16T15:23:02.200110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learning trans- ferable visual models from natural language supervi- sion","venue":null,"work_id":"bdabaf66-b251-455c-847d-01d6edc112b0","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:ace840397efeee39e48dc971419e95adb7fb1dfc755f1f4a4834283a785ab0be","observation_id":"8dabe4dd-b48f-4faa-801b-0b1625355c06","resolution":{"observed_at":"2026-05-16T15:23:02.181160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Denseclip: Language-guided dense predic- tion with context-aware prompting","venue":null,"work_id":"a551f80d-f1ad-4b09-8426-eb7ebcfeb1b3","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:da3fabd85dc8883401ef1f8516180c5f298ac96ea5f31dfccb07e9ba5b2c3869","observation_id":"4f7305a4-c1fd-465a-8a1c-e3a24711e567","resolution":{"observed_at":"2026-05-16T15:23:02.135258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Laion-400m: Open dataset of clip-filtered 400 million image-text pairs","venue":null,"work_id":"20829007-a8f9-4c59-9466-524fcd14504a","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:3f27cf413b1bad73724dfff5e60b861a5cf7526e394992bd34dc1b259ba7b1ea","observation_id":"7fd63346-fd2d-4f8e-a88f-04c1838fb438","resolution":{"observed_at":"2026-05-16T15:23:02.122480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06383","last_updated":"2021-07-13T20:48:12Z","snapshot_observed_at":"2026-07-06T11:28:50.559049Z","submitted_at":"2021-07-13T20:48:12Z","title":"How Much Can CLIP Benefit Vision-and-Language Tasks?","version":1},"cited_work":{"arxiv_id":"2107.06383","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.06383","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How much can clip benefit vision-and-language tasks?","venue":null,"work_id":"3b4c7819-6f34-4c2d-91df-038dc5d7c576","year":2021},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"cited_paper":"/paper/2107.06383","citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:22e4fa2241ba86d79b0abdd50372da3124d28886a50a75f658f8d5d3f78f4416","observation_id":"9cb8275f-7210-4586-be21-74a5ec661e98","resolution":{"observed_at":"2026-05-16T15:23:01.929185Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Human cognition involves the dynamic integra- tion of neural activity and neuromodulatory systems","venue":null,"work_id":"9d274533-c4f6-403c-8b05-db8f8c858a8e","year":2019},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:9b8969e82202fedb9aeb871f3cbdc9de5a18b889d7cf0aed97a11bd83cd326ae","observation_id":"fee90444-f746-4360-9516-5637674c66d9","resolution":{"observed_at":"2026-05-16T15:23:02.208855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Fastcontext: Han- dling out-of-vocabulary words using the word struc- ture and context","venue":null,"work_id":"0c98046b-f51f-428d-b454-dd7aaf001f87","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:617751e87b31315c1258917bd80fc78b85ce0ededa2b04228eb67eeabe2aae47","observation_id":"6be28f29-d68b-4b44-bb08-a10e6866eb9c","resolution":{"observed_at":"2026-05-16T15:23:02.124981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Out- of-distribution generalization via composition: a lens through induction heads in transformers","venue":null,"work_id":"58dfe0fd-44e6-4e33-954e-467b0373e5be","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:2608c05af01eb7e8ceadb98cacdee45f83318d008e519eb4fe5ad7b90ab52399","observation_id":"9e484187-8709-43c2-912e-49e09c7063bc","resolution":{"observed_at":"2026-05-16T15:23:02.149394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Robust fine-tuning of vision-language models for domain generalization","venue":null,"work_id":"d47b0d5d-205e-4a12-a77f-eb8a248d5176","year":null},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:5af8c6915218642b35405679c616680e16658b2445ee6b0416ffb1150c5b7d7e","observation_id":"48a14aa2-1f7e-46a0-b231-8db2ce0c06d4","resolution":{"observed_at":"2026-05-16T15:23:02.108774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, An- drew M","venue":null,"work_id":"5b39d7f7-1389-463b-bd24-3a7274806751","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:7d181fdcbe826a1da5996af6ba788c27a5478f9c83d70a232ab5c6ca94f7d415","observation_id":"62ae0c1b-07b1-4d74-9084-2639f6e6cefc","resolution":{"observed_at":"2026-05-16T15:23:02.129644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Robust fine-tuning of zero-shot models","venue":null,"work_id":"61329bde-518f-433d-8914-9c613566c14f","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:70c0f894b859aaa7af057b47d56b2531eb1c4c846e0f424dcc8d80588ba98c56","observation_id":"463e5967-0bc5-42ac-8d88-5f63a3352982","resolution":{"observed_at":"2026-05-16T15:23:02.110969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Cascade prompt learning for vision-language model adaptation","venue":null,"work_id":"736e48ea-745f-4912-a0d6-78f523576f95","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:aeed8b901c4ed168dabbf7d8b37f40005bc7dcc13545e1c0b7b15b3709db6b2d","observation_id":"12c317bc-ab5d-40b4-bb6f-a0289a0bf8f1","resolution":{"observed_at":"2026-05-16T15:23:02.223189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Depthssc: Monocular 3d seman- tic scene completion via depth-spatial alignment and voxel adaptation","venue":null,"work_id":"091a7fbd-d5a1-443e-b674-b3e7eaa216a3","year":2024},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:92cebb29882243ff980a285480202de85647d0a7b20b722a110cdcc5a83f88d1","observation_id":"714903af-a364-443b-8b14-2d5f3516e4c3","resolution":{"observed_at":"2026-05-16T15:23:02.229235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Task residual for tuning vision-language models","venue":null,"work_id":"8125ef44-8cce-43a8-b70d-607ddcc745a1","year":2023},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:63fd23a5bf2a3d9eef53518e880977d1faafbb5c254c1820dab9f2892f086dc7","observation_id":"347de740-0014-46fb-8e63-e9f9f6c57bb9","resolution":{"observed_at":"2026-05-16T15:23:02.215296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Boosting vision-language models with transduction","venue":null,"work_id":"c70bc199-671b-486b-9618-76fa523404e9","year":null},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:8d3b7e18b2e54ad22d9a3be53235f2fd6de518e10e533d1f2c6b29cd7ad4a15d","observation_id":"a70f43dc-d0f5-482a-a52c-a29a323c0a31","resolution":{"observed_at":"2026-05-16T15:23:02.171330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"MAT-agent: Adaptive multi- agent training optimization","venue":null,"work_id":"ac512687-5ee4-45ea-89ce-ad4c36eb43b6","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:97f8ae46962b9b7f485434ca905be3dd273d289958ef12d9f88186426ba79282","observation_id":"d5a116c5-5593-46cc-8db3-daaac8cb9b06","resolution":{"observed_at":"2026-05-16T15:23:02.132287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"CF-VLM: Counterfactual vision- language fine-tuning","venue":null,"work_id":"1fed36c9-da31-467d-bc69-6b0122013259","year":null},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:380d78d29661b9fb3008a5d65cae8500a083da9dde6652b18f4249803eb6b4b4","observation_id":"f388a372-2a37-44ce-9fa0-d3c2736ca977","resolution":{"observed_at":"2026-05-16T15:23:02.204078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Mm-cot:a benchmark for probing visual chain- of-thought reasoning in multimodal models","venue":null,"work_id":"4a7a99bb-ca0d-492f-86ab-4220d130d30c","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:b7d96510dc0adb0e4c598c61ac6ad797f501d187f5008b41a7eb3dd933513166","observation_id":"0c8288ed-62a0-41a8-90bb-5117b52ca4e4","resolution":{"observed_at":"2026-05-16T15:23:02.144630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Top-down semantic refinement for image captioning","venue":null,"work_id":"607ac0c4-1485-4ce9-acbb-007feb6d12a6","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:742fe8b7b0fd0bb015ca9da770b318d1fad79a71c3bea867df414232670799f5","observation_id":"6a5b94a0-cc9a-4c77-87a4-9c0ab7dc7edf","resolution":{"observed_at":"2026-05-16T15:23:02.189353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learning dynamics of vlm finetuning","venue":null,"work_id":"28c6061f-dfa3-4abc-8d64-ceecd6625298","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:c7025da7c4124e85dd1c467f5afcd5c91487ee0754dc102bbef18bd2a43c3b3e","observation_id":"6f0ab9c0-3e40-41a8-bf3b-b08e17ab58cf","resolution":{"observed_at":"2026-05-16T15:23:02.210861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Failure-driven workflow refinement","venue":null,"work_id":"88fc2afd-697a-4e18-81cd-777ba5100ce6","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:9c952d7a23a0acc4a37ee461abee6dcc754d6679e21bda2f04a325c0f0a12ee0","observation_id":"4a42b339-502e-48e2-85c3-4580f322ecea","resolution":{"observed_at":"2026-05-16T15:23:02.127166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Drdiff: Dynamic routing diffusion with hierarchical attention for breaking the efficiency- quality trade-off","venue":null,"work_id":"d4bca824-bd92-4314-9548-504538a32a50","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:02dd3e1cf06f2bf2a0273e440b5b534d01a289fbb41b28dd3c3ea8018085fde3","observation_id":"b95129dc-d585-4487-b910-99d39ad44881","resolution":{"observed_at":"2026-05-16T15:23:02.219455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Osc: Cognitive orchestration through dynamic knowledge alignment in multi-agent llm col- laboration","venue":null,"work_id":"37b47e0f-1c75-4592-bfa1-9bccbb1a587e","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:254b69cdd4e4a4206362e3ace6d2b734b3455358793d6ec8de74ccc41819b269","observation_id":"11ca9b48-397a-42ab-88cb-e323c5253417","resolution":{"observed_at":"2026-05-16T15:23:02.197878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Kolmogorov-arnold fourier networks","venue":null,"work_id":"d3f4ac30-1820-4aa8-b6c2-f3cabbcdbe17","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:5548f567225b5b8c27eec233be4bbdd33ae64a1fe57f09ec674c8383af099696","observation_id":"2a008d58-cdfd-4f16-b677-416dabbe0816","resolution":{"observed_at":"2026-05-16T15:23:02.173626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"GAM-agent: Game-theoretic and uncertainty- aware collaboration for complex visual reasoning","venue":null,"work_id":"ee0f7d45-43af-43b6-a4e5-c5478718a71b","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:60ab47b4d04793034d401390c1775b81763c2e3687c9f6bf08f30e468fa216f5","observation_id":"83d5bc85-bab5-40dd-82ea-bff7f9105299","resolution":{"observed_at":"2026-05-16T15:23:02.185506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Tri-MARF: A tri-modal multi-agent re- sponsive framework for comprehensive 3d object an- notation","venue":null,"work_id":"f5d2e416-89c4-4920-a429-41359fe65021","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:838ec5084ece7247c7a0d86947cd0ef25865bfd5e7c6e8f9b1436a194720e3f9","observation_id":"42282af2-1042-48d8-8c6b-48bf4143c132","resolution":{"observed_at":"2026-05-16T15:23:02.116732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Hybridtoken-vlm: Hybrid token compression for vision-language models","venue":null,"work_id":"e66e9dc6-c005-44ff-a676-eff528858dc5","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:ef1807a9d2722707c251e54bc5af6926cfa144db32f0edd2f5d900b1af33b74a","observation_id":"cc800b2d-9b27-419a-bab8-bad389be027b","resolution":{"observed_at":"2026-05-16T15:23:02.137597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"KABB: Knowledge-aware bayesian bandits for dynamic expert coordination in multi-agent systems","venue":null,"work_id":"43e280d6-cd80-4650-a8f3-313641a05668","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:753391a287380831cfeab1c41a52964c471cabced6efa12e3a594a791f0c9c93","observation_id":"e09a9218-b6d6-40f8-8ad0-ba479042c690","resolution":{"observed_at":"2026-05-16T15:23:02.217384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Llm-cas: Dynamic neuron perturbation for real-time hallucination correction","venue":null,"work_id":"109144bd-1ddf-4379-89a5-bf5b6e8dc8c3","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:cf806b40df4affafad86d562b312fe7b3fc53804f2714c5630bbc0340d9a11e1","observation_id":"280f4ccb-04bd-4f7f-b8a7-09a3de7e1aae","resolution":{"observed_at":"2026-05-16T15:23:02.206492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Llava-read: Enhanc- ing reading ability of multimodal language models","venue":null,"work_id":"01e837cf-bf05-4c63-a3df-108084f8cb59","year":null},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:75ba171f0ec8cb164d8421d616061fcafbd9efceeef09f02d6bfeb75bfff3276","observation_id":"2d2c9a1f-aa02-467c-9b45-7b8e37db11c3","resolution":{"observed_at":"2026-05-16T15:23:02.157841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learn- ing from models beyond fine-tuning.Nature Machine Intelligence, 7(1):6–17","venue":null,"work_id":"f1f2a492-ec4d-4db4-befe-c7d7a16c0be4","year":2025},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:82b4a1567254150ccece94e2eaeeb552c1371f2c1b0516e6e114a189ec872661","observation_id":"4affe112-4d36-48b9-a74f-722dffdac858","resolution":{"observed_at":"2026-05-16T15:23:02.120013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Conditional prompt learning for vision- language models","venue":null,"work_id":"8b9f77e0-8527-4415-96e3-3c8af53e16a5","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:ea4cb6a68fd8d98fd83247ae237d7df71fe921d4b8dcaa021dfb8b3563c8845a","observation_id":"664360d9-6296-44ce-aefd-770229c79ca8","resolution":{"observed_at":"2026-05-16T15:23:02.178620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learning to prompt for vision-language models.International Journal of Computer Vision, 130(9):2337–2348","venue":null,"work_id":"61f951f1-e6c8-4cb5-98f6-f6f5c1badf1a","year":2022},"citing_paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-16T15:22:35.204623Z"},"links":{"citing_paper":"/paper/2601.09746"},"observation_digest":"sha256:492f4a0392c4b601787ff85af2fbf69fe93d8397aade4716a1d24cfcc87ee625","observation_id":"82042918-f9c9-4587-a4ac-c07b8b1d34db","resolution":{"observed_at":"2026-05-16T15:23:02.193665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2601.09746","last_updated":"2026-01-11T20:36:47Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-07-06T22:41:43.594456Z","submitted_at":"2026-01-11T20:36:47Z","title":"Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":58},"total_outbound_references":60},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2601.09746."}