{"as_of":"2026-08-07T22:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fba084cc0a15bf28f2c8534c92b0cc86b473c6bbf27779a481f95fabc74aa340","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:46:02.319525Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-17T04:46:34.946640Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-17T04:49:02.937990Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"cited_work":{"arxiv_id":"2506.23502","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23502","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Llm-enhanced action-aware multi-modal prompt tuning for image-text matching","venue":null,"work_id":"ea8655f8-1f5c-4100-b06a-295ea735e15e","year":2025},"citing_paper":{"arxiv_id":"2511.20162","last_updated":"2026-04-09T15:23:13Z","snapshot_observed_at":"2026-07-06T22:36:53.831174Z","submitted_at":"2025-11-25T10:38:41Z","title":"Action Without Interaction: Probing the Physical Foundations of Video LMMs via Contact-Release Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-17T04:46:34.946640Z"},"links":{"cited_paper":"/paper/2506.23502","citing_paper":"/paper/2511.20162"},"observation_digest":"sha256:23b6383463616faa35a6765793500a175d27c401eb4ed194e842fa34b5644adc","observation_id":"99e15fe9-6af7-4601-9aff-15c5c1ba243f","resolution":{"observed_at":"2026-05-17T04:49:02.940987Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.23502/citation-record","integrity":"/paper/2506.23502/integrity","json":"/paper/2506.23502/citation-record.json","paper":"/paper/2506.23502"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:46:11.205465Z","title":"Incorporating geo-diverse knowledge into prompting for increased geographical robustness in object recognition","venue":null,"work_id":"84d84f74-076a-48b8-bd24-0ac7b56c2f05","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.204051Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:608ca9e1276539121714041073f62e698cfaeadacecc1188e96a1bf7695604d2","observation_id":"f4e51e50-4dc3-49c3-ae30-6e3617a91fff","resolution":{"observed_at":"2026-08-06T21:46:11.326339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:10.993611Z","title":"Learning the best pooling strategy for visual semantic embedding","venue":null,"work_id":"ee479731-d575-4934-b325-2709992b182f","year":2021},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.252978Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:1a625381e82d157684d23e6f8f6db3d2fc9bf26918c9bf802da5f78665b2e96b","observation_id":"c74f03bd-4c91-43f0-991b-d0ac68c1b878","resolution":{"observed_at":"2026-08-06T21:46:11.079672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:10.785788Z","title":"Large language models are visual reasoning coordinators.NeurIPS, pages 10–16, 2024","venue":null,"work_id":"d3a302f7-37be-41bf-8bf8-f1767879b98c","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.322328Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:e7b12bd88133da028db5bea176db5d13ef7b874204d9a671de6036c762208c75","observation_id":"9652da36-73e0-41f2-a322-e5c10925e01e","resolution":{"observed_at":"2026-08-06T21:46:10.883779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1504.00325","last_updated":"2015-04-03T20:21:16Z","snapshot_observed_at":"2026-08-04T18:05:27.145522Z","submitted_at":"2015-04-01T18:13:43Z","title":"Microsoft COCO Captions: Data Collection and Evaluation Server","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1504.00325","snapshot_observed_at":"2026-08-06T21:45:58.361450Z","title":"Microsoft coco captions: Data collection and evaluation server.arXiv preprint arXiv:1504.00325, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.361450Z"},"links":{"cited_paper":"/paper/1504.00325","citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:21427ee53077e81fd357ae392f82af34e70b77ecc79eeb5088f12cc31539ecfa","observation_id":"ea30dcd6-f499-4062-91a9-6da3efc4fa07","resolution":{"observed_at":"2026-08-06T21:45:58.361450Z","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":"2026-08-06T21:46:10.655422Z","title":"Cross-modal graph matching network for image- text retrieval.TOMM, 18(4):1–23, 2022","venue":null,"work_id":"5f6df13b-b285-47e9-9a51-28c69430274b","year":2022},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.450649Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:c08ec1eb2f35fc30be967df689eda3def680a576a04e2c90ecc63fed5906aedc","observation_id":"77d9e395-835c-4803-a5cc-711754ad2412","resolution":{"observed_at":"2026-08-06T21:46:10.698382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:10.483027Z","title":"Reproducible scal- ing laws for contrastive language-image learning","venue":null,"work_id":"697a2c05-a622-4ad4-9551-2c154ba82a7e","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.532573Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:1d3af559edb189bec67910772fe325529d36f276e4d160d523ca1cb3a473816b","observation_id":"b2a6fbbc-57a4-43f6-a773-5ec29fdd347f","resolution":{"observed_at":"2026-08-06T21:46:10.582949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:10.383135Z","title":"Sim- ilarity reasoning and filtration for image-text matching","venue":null,"work_id":"e792d7d4-0ce2-4648-9fb4-c6383eff8c92","year":2021},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.566838Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:f8a4f265ad8f220f6b80326a35855743768312547bfbdf1e1c8205593d493609","observation_id":"f8701963-6001-43a5-a0c7-04f1a90cf92e","resolution":{"observed_at":"2026-08-06T21:46:10.437714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:10.182244Z","title":"Fleet, Jamie Ryan Kiros, and Sanja Fidler","venue":null,"work_id":"393d8e3c-7f1c-4ea2-a443-b16d30197db1","year":2018},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.636191Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:5c28b707f674f48c038777ef6bc63dae660d175c9f57296df6f2d10f330f17f9","observation_id":"351997d4-cfa6-4159-8360-6514f64e8570","resolution":{"observed_at":"2026-08-06T21:46:10.289170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:10.006984Z","title":"Learning semantic relationship among instances for image- text matching","venue":null,"work_id":"bca2d6d5-582e-4cae-b0d6-e279170f88e7","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.705862Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:cc2a205ea3913fe0a1c38fbfda91aba4edc9075b875fac0eb395c7fb15e746c6","observation_id":"095d7716-b2e3-4634-bb8a-5ea1bdb37e31","resolution":{"observed_at":"2026-08-06T21:46:10.097973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:09.836164Z","title":"Pyramidclip: Hierarchi- cal feature alignment for vision-language model pretraining","venue":null,"work_id":"4a8f06d0-f1a3-4db9-ad86-fa5c425675ef","year":2022},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.790852Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:716408eab41582e804eaf08a8ad307731e893254d721059a730116c990b1f2b6","observation_id":"e664c977-85da-4a1a-a165-cdcda54adc90","resolution":{"observed_at":"2026-08-06T21:46:09.926777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:09.611438Z","title":"Cross-modal semantic enhanced interaction for image-sentence retrieval","venue":null,"work_id":"c54e7f29-2907-48e2-8e67-dc871239e0bc","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.898987Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:ed49cf9d61306945fd21d9a4883d52cdbd77208b8b13b95764043a9f185e1420","observation_id":"dee985aa-e72f-41c5-9cae-5522cf82d76d","resolution":{"observed_at":"2026-08-06T21:46:09.708912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:09.452718Z","title":"Hiclip: Contrastive language-image pre- training with hierarchy-aware attention","venue":null,"work_id":"9116876f-c6b8-4467-9df7-87f18b8f185a","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:58.985185Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:c0598f76acfb0c141e81108883e4c54dbd2ca286d6d4ec38480644ff69b4ee08","observation_id":"b42cf75e-bdf4-481f-bd3a-d4dd5c018bdc","resolution":{"observed_at":"2026-08-06T21:46:09.527887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:09.318938Z","title":"From im- ages to textual prompts: Zero-shot visual question answering with frozen large language models","venue":null,"work_id":"f556e19c-47fe-4a36-99c7-abd4ff87c046","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.056867Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:33a648ea5f34f197723e4c488ffb111219b6a2ac7169a06d96eae192af8340f6","observation_id":"b1934b8d-98d5-4a57-bcd2-32ae4b06f868","resolution":{"observed_at":"2026-08-06T21:46:09.381531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:09.191012Z","title":"Visual program- ming: Compositional visual reasoning without training","venue":null,"work_id":"dd925fc3-d2ce-4935-b4e8-28553a242a10","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.127145Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:d3c1de197d481be0f3a3d7d462c9525f603d7eb0080595ac62252e396a662aa3","observation_id":"e5f97260-9444-42ce-a1fb-844f1d922875","resolution":{"observed_at":"2026-08-06T21:46:09.245934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.998494Z","title":"Structure-clip: Towards scene graph knowledge to enhance multi-modal structured representa- tions","venue":null,"work_id":"986eac0a-edad-45f6-95b9-4fb77aa1b731","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.196134Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:a13d636bc47afd4d3453b1dc1bbe165b4da5fa33884a68e689b20f05bb851cce","observation_id":"3231f3df-5b52-4677-a74f-d088b652f9e4","resolution":{"observed_at":"2026-08-06T21:46:09.059318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.877736Z","title":"Fineclip: Self-distilled region-based clip for better fine-grained under- standing","venue":null,"work_id":"4d076b31-8ff8-440b-8173-e981fee60270","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.266266Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:f816eaa043bfad2ea70976f058ad7692b1ed81e8eb4ceb38b84a951f4353ad24","observation_id":"2309f4f4-fa2c-41ed-b325-866efec1c4a0","resolution":{"observed_at":"2026-08-06T21:46:08.957054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.717658Z","title":"Knowledge-aware prompt tun- ing for generalizable vision-language models","venue":null,"work_id":"457cfe9a-41cd-41cb-b2e9-ab5b0f40bec3","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.389988Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:1aa123d40938df8a994f5b1e0de9ba134a35acfe4ea5b39b2e8bd92d30faa272","observation_id":"0c33dae3-0e7e-4537-b57b-8138ce59554b","resolution":{"observed_at":"2026-08-06T21:46:08.801890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.560381Z","title":"Maple: Multi-modal prompt learning","venue":null,"work_id":"ed7c10db-2f16-4719-8222-c02fca4836d4","year":null},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.431964Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:8e17a775126b1d1f52aa4c81213750823eca7ef47e0dfc6d01198da6511d9186","observation_id":"8ae628f9-cb49-4137-9e6e-ec1174499752","resolution":{"observed_at":"2026-08-06T21:46:08.621773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.439714Z","title":"Stacked cross attention for image-text matching","venue":null,"work_id":"25543cbe-adf6-4a87-afa3-838570847c0f","year":2018},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.503349Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:c791d2b32f949fd073eebac8df12aefa90fdb56c696d29c97470aad6d2d71d0f","observation_id":"37eeb6a9-2b61-4b18-b572-09e88fe4e44e","resolution":{"observed_at":"2026-08-06T21:46:08.493167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.348674Z","title":"Action-aware em- bedding enhancement for image-text retrieval","venue":null,"work_id":"5ad7fa64-969e-4cb4-ae06-dce28d67b0bc","year":2022},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.578340Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:947cd940508c6a755358dfa340a52a5cd7553a2f81ca53eb783c3aae600d161b","observation_id":"66a2902f-4696-492e-a048-c47e39ade055","resolution":{"observed_at":"2026-08-06T21:46:08.391733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.230661Z","title":"Learning background prompts to dis- cover implicit knowledge for open vocabulary object detec- tion","venue":null,"work_id":"0bee8864-7899-4b25-9710-04ebc630c2c7","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.664580Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:8524c72cd96509eba835575dc1a4f766da2be17f65afdbaecbea0f378d066d75","observation_id":"2e7a3d5f-46e1-487c-a0af-9296832a10e9","resolution":{"observed_at":"2026-08-06T21:46:08.296908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:08.064862Z","title":"Cross- modal alternating learning with task-aware representations for continual learning.TMM, 2023","venue":null,"work_id":"6e9e11d3-b749-4ca8-81f2-b76fb2403f4e","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.724477Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:7e7c6eccf177248058368bfbb47176a01a870250f7b647944389add173e642a6","observation_id":"54680ab0-30df-4504-99de-ff27fa414cb2","resolution":{"observed_at":"2026-08-06T21:46:08.134264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:07.937020Z","title":"Image-text bidirectional learning network based cross-modal retrieval","venue":null,"work_id":"48a253f8-7904-4c42-8220-dd69a6a5f53e","year":2022},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.808291Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:66c490112fc195c651e1cb31f5c52c99112f261230a46e1b9d2f33bd0bef0f93","observation_id":"1abbc369-b536-41d1-8579-bc551a8d61ea","resolution":{"observed_at":"2026-08-06T21:46:07.992070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:07.829685Z","title":"Learning customized visual models with retrieval-augmented knowledge","venue":null,"work_id":"bc2b0b6a-578a-4de7-8f16-da8e10303187","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.897619Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:91a32d694f892ce50ed1f17c9bf97f6823425a60a400ac62a42d3a4814f079d6","observation_id":"85adc5a4-ee2a-49da-af69-1ad9ebcfc1f7","resolution":{"observed_at":"2026-08-06T21:46:07.878180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:07.776130Z","title":"Multi-modal attribute prompting for vision-language models.TCSVT, 2024","venue":null,"work_id":"f719a267-6bdd-48f5-85f9-39f0288f8ac8","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:45:59.975439Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:0b567d06398b298b22fc5e64171ee1a8e238a472fc74dbde7e702e7877c4472a","observation_id":"0cce8655-cbc3-4550-86c7-124630b1c125","resolution":{"observed_at":"2026-08-06T21:46:07.818852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:07.642094Z","title":"Fine-grained visual– text prompt-driven self-training for open-vocabulary object detection.TNNLS, pages 1–11, 2023","venue":null,"work_id":"48795768-e9b7-44b7-af8c-c9416179d74d","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.077299Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:ec0f2d4d2079e5aa435b7c6310cf75a2995836e17fba8b0ea9b7a26ba9589ce9","observation_id":"71ccba72-23ac-486c-93f6-c97ae5125f4b","resolution":{"observed_at":"2026-08-06T21:46:07.698542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:07.459809Z","title":"Visual classification via description from large language models","venue":null,"work_id":"4280709e-c43e-4b06-972f-e596763dee86","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.144303Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:5030e2d4251d8797c1d301e333cdbac46cf3b69172c6a348f9e9d770a552ea44","observation_id":"216fa119-48a1-4cea-943f-eef01ebd306f","resolution":{"observed_at":"2026-08-06T21:46:07.545899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:07.305086Z","title":"SCHEMA: state changes matter for procedure planning in instructional videos","venue":null,"work_id":"7979f840-0139-49bb-9b0b-6f7c01eec9c0","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.199420Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:c14a60fbb5da7c45c69cf4f2554b9fa576d3aab9a3eb4148b19804644dc4389c","observation_id":"f7bfca97-fb79-4275-8ad4-e8578c7cb3fd","resolution":{"observed_at":"2026-08-06T21:46:07.369802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:07.137900Z","title":"Teaching clip to count to ten","venue":null,"work_id":"78f4946f-3eee-49b7-9ef8-531230666cae","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.285075Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:426b986eb8627ce0e29cefbd506af2b698d4c133f29160cae5797b856f2ba4b3","observation_id":"492369ea-3c73-4552-ae31-4dc7e546eac7","resolution":{"observed_at":"2026-08-06T21:46:07.239545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:06.975967Z","title":"Fine-grained image-text matching by cross-modal hard aligning network","venue":null,"work_id":"8347f7e3-004a-4366-99ef-8e47f19be4d3","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.354666Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:fbe2b67b7ef9e7ad09f9dde9bbb344b70d38198e1df52ee2970255a1384c4dca","observation_id":"1a958523-11f2-4aac-9de5-3c11cf5486b2","resolution":{"observed_at":"2026-08-06T21:46:07.051157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:06.811322Z","title":"Dynamic modality interaction modeling for image-text retrieval","venue":null,"work_id":"f09f6f96-c4ea-446d-be0c-73e5095571f8","year":2021},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.412406Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:f565c0c9e7c797c539b3e963e3f619aacd58e592a50178356936d0a3f8ffcc48","observation_id":"3d500885-10b2-4dfe-83df-900a3002a46d","resolution":{"observed_at":"2026-08-06T21:46:06.880385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:06.464099Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"892e52f1-6232-4b49-98ca-d8fcf2f37a4c","year":2021},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.509155Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:4b8c4ecadb7dc7f5c2ef53b5e02f920d41b2394a365727db1c9f515bace68376","observation_id":"784facf2-5037-4c1f-8ffa-229826f8e16a","resolution":{"observed_at":"2026-08-06T21:46:06.607635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:06.260792Z","title":"Vlc-bert: Visual question answering with contextualized commonsense knowledge","venue":null,"work_id":"7b198b30-dc77-455a-8e94-31078e9aba9a","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.576317Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:f40f59643ec5fed61c4a71e9b7100beec0d86c0433cfdfdf5e5a19b529fc5f67","observation_id":"df139403-5b87-4590-aef3-278e5f8cfb7a","resolution":{"observed_at":"2026-08-06T21:46:06.368510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:06.053606Z","title":"Language models are causal knowledge ex- tractors for zero-shot video question answering","venue":null,"work_id":"a8d38ac3-a130-43b7-9e03-7dcbfdf8e5e7","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.647825Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:16e192fbdfd9b0904dcdd51116212552cbf284dd14ed4e3f5699d122875a1053","observation_id":"6fec0c54-161a-4dde-ad96-fec20fb6ce54","resolution":{"observed_at":"2026-08-06T21:46:06.147358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.15389","last_updated":"2023-03-27T17:02:21Z","snapshot_observed_at":"2026-07-06T15:08:34.018146Z","submitted_at":"2023-03-27T17:02:21Z","title":"EVA-CLIP: Improved Training Techniques for CLIP at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.15389","snapshot_observed_at":"2026-08-06T21:46:00.728702Z","title":"Eva-clip: Improved training techniques for clip at scale","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.728702Z"},"links":{"cited_paper":"/paper/2303.15389","citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:8d4da4c6d19050d963e4d4522e898b7a3a1355579a507bb4763bada4ed1a6974","observation_id":"97d650ee-0f8e-49fa-b45a-415ff64f2dc8","resolution":{"observed_at":"2026-08-06T21:46:00.728702Z","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":"2026-08-06T21:46:05.732060Z","title":"Compound text-guided prompt tuning via image-adaptive cues","venue":null,"work_id":"37809e3b-7b3d-4460-a9bd-a1f2f553b756","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.814075Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:01764970faf894a1196cba54780d5dd5a1df4071ec96e3aa1bceaf66f9ebb6e7","observation_id":"306a3b8e-e638-4a3f-873f-ffc8c008123b","resolution":{"observed_at":"2026-08-06T21:46:05.899299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:05.488861Z","title":"Multi-granularity cross-modal align- ment for generalized medical visual representation learning","venue":null,"work_id":"b1b64107-9ba4-476e-9986-4e3ad754d717","year":2022},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:00.916739Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:b2a419706a89062a60e1cb404e61ac0700a492fb339bb1762223186d0fa37b98","observation_id":"683ec262-ffed-4b1b-b9f8-1ba75477c251","resolution":{"observed_at":"2026-08-06T21:46:05.612801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:05.236515Z","title":"Consensus-aware visual-semantic embedding for image- text matching","venue":null,"work_id":"eb084218-8538-42b4-81b8-ec56de2a0390","year":2020},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.008060Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:14194b1e3e795ead757afb8b53e7f35d25eb6338c28795247846595fabb7210c","observation_id":"e7505452-b647-4910-8541-9e75740df224","resolution":{"observed_at":"2026-08-06T21:46:05.284410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:05.001302Z","title":"Vilt- clip: Video and language tuning clip with multimodal prompt learning and scenario-guided optimization","venue":null,"work_id":"cdc25823-da4c-408a-9fe6-5cc29615443f","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.109203Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:a901a0b933dd395d2614e1d5fac84236ccb640ce748c31b8989153494cc85f56","observation_id":"106832fd-dd91-4d87-98f0-f50eb4dd2bb8","resolution":{"observed_at":"2026-08-06T21:46:05.104822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:04.815724Z","title":"Position-guided text prompt for vision-language pre- training","venue":null,"work_id":"284bcb96-3684-4847-baef-bf7b35d813cb","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.194101Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:e31ed13869907377020cf574cd22e0a5165dd25ca00a411ed6d3e669ce54105a","observation_id":"ce17a852-6b73-4383-837c-9ee1589a4735","resolution":{"observed_at":"2026-08-06T21:46:04.878349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.08472","last_updated":"2021-09-17T11:21:34Z","snapshot_observed_at":"2026-07-06T11:48:42.000083Z","submitted_at":"2021-09-17T11:21:34Z","title":"ActionCLIP: A New Paradigm for Video Action Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.08472","snapshot_observed_at":"2026-08-06T21:46:01.269123Z","title":"Actionclip: A new paradigm for video action recognition.arXiv preprint arXiv:2109.08472, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.269123Z"},"links":{"cited_paper":"/paper/2109.08472","citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:80f6ac1c643e578cca5201d21e3a74786f70650f6368c47dbacd5ae76994e651","observation_id":"4e85078f-a7d3-4f7d-9755-7bc0e018c68a","resolution":{"observed_at":"2026-08-06T21:46:01.269123Z","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":"2026-08-06T21:46:04.664766Z","title":"Cross-modal scene graph matching for relationship-aware image-text retrieval","venue":null,"work_id":"ad78111e-8edb-4bb3-8236-6f12cdf223ab","year":2020},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.316475Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:3f62a7ca4c5de75a222c626d8bf697303029408ab1e44c3cdc66c73bc0fd7713","observation_id":"6e788e16-0286-4999-b93e-6f5467d83c86","resolution":{"observed_at":"2026-08-06T21:46:04.742902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:04.518496Z","title":"Diffusion feedback helps clip see better","venue":null,"work_id":"5172a53f-5e06-48c8-809f-2d0b284190ca","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.407864Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:7119d2727e4505e4cb667bb64fbb7c607a8ac946892dcc5d90570aae6419eadb","observation_id":"69cc5f4b-da85-4fc3-9195-af6880442ea6","resolution":{"observed_at":"2026-08-06T21:46:04.591379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:04.361625Z","title":"Balance act: Mitigat- ing hubness in cross-modal retrieval with query and gallery banks","venue":null,"work_id":"58ad2d5c-5cb6-4086-bc2d-aee1d405b8d5","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.486247Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:c1523468e48a50b1b908ebdf321d6944bd0ba115dd1541368863b992d4224bec","observation_id":"c6b2526c-d082-4833-896e-56fb0d19f469","resolution":{"observed_at":"2026-08-06T21:46:04.426824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:04.188437Z","title":"Learning hierarchical prompt with structured linguistic knowledge for vision-language models","venue":null,"work_id":"2af7fef9-6808-4459-b8b6-f01c91849918","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.539766Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:9109ac1f0fec18c35200cea74f1d9d8be3f53c1414c71c9d7b611a1dcb8af2e2","observation_id":"a085f20a-3d6a-4c66-95a4-c2e1911b43d8","resolution":{"observed_at":"2026-08-06T21:46:04.270094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:04.028881Z","title":"Multi-view inter-modality representation with progressive fusion for image-text matching.Neurocomputing, 535:1–12, 2023","venue":null,"work_id":"0cc33d86-5804-4d72-a3a2-6c38db807629","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.607195Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:3617fcff2f572acb2cf6bd401549e49368a5f01317624e55e7b8a99ea4ca3ce0","observation_id":"5b308134-caa9-4bed-893e-e343532fe2b1","resolution":{"observed_at":"2026-08-06T21:46:04.098062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:03.845458Z","title":"Saco loss: Sample-wise affinity con- sistency for vision-language pre-training","venue":null,"work_id":"84da7f2f-7158-4bc4-a8ad-80d3b5ec51e0","year":2024},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.685643Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:bd193dba8203f6a658b5a930f7dc4277ed64185737ec3348f266d1411f0ceaac","observation_id":"fcd561d1-4d2e-4a45-9c47-0713da403415","resolution":{"observed_at":"2026-08-06T21:46:03.952171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:03.549568Z","title":"Visual- language prompt tuning with knowledge-guided context op- timization","venue":null,"work_id":"b1abcb0e-60cb-4f33-915b-92fd3067e4b4","year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.734901Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:db575911db1b85d11c630186091d566a4a82d8d51b8b74ff76b28c7eb526331a","observation_id":"27802d92-26da-4d5c-a7a2-ada570d0ec48","resolution":{"observed_at":"2026-08-06T21:46:03.712784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:03.262879Z","title":"FILIP: fine-grained interactive language-image pre-training","venue":null,"work_id":"30af4890-ec2d-4ab5-943d-2a3c72271103","year":2022},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.784837Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:f032006227f41f17efa7bcbddfdd98bdcb21d1dc7fa8196c2c659cc81719aac4","observation_id":"5c60afda-21e5-4646-838d-6aa3ccc5a0ee","resolution":{"observed_at":"2026-08-06T21:46:03.389697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:02.989116Z","title":"From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions.TACL, 2:67–78, 2014","venue":null,"work_id":"775574d3-1628-4e12-98e5-5df81d5e4277","year":2014},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.848329Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:a33fae1e4a95ac4706761062074b3768dc6c7bf2ea73c58fdfad325c7088bd96","observation_id":"ffffa9ae-697c-4519-8c11-e33500c03a49","resolution":{"observed_at":"2026-08-06T21:46:03.122250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:02.815139Z","title":"Dual-path convolutional image-text embeddings with instance loss.TOMM, 16(2): 1–23, 2020","venue":null,"work_id":"d3f166b7-5001-41f1-9897-f72c08ab8add","year":2020},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:01.927793Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:a43b6cc23380d62da303e6b488683d59ed668060547f9908147baa437bec5e78","observation_id":"e0c6aea0-a122-448b-a748-51b057bff30b","resolution":{"observed_at":"2026-08-06T21:46:02.907213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04076","last_updated":"2024-04-02T21:47:35Z","snapshot_observed_at":"2026-08-07T11:18:47.864084Z","submitted_at":"2023-12-07T06:43:34Z","title":"Large Language Models are Good Prompt Learners for Low-Shot Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.04076","snapshot_observed_at":"2026-08-06T21:46:02.007187Z","title":"Large language models are good prompt learners for low-shot image classification.arXiv preprint arXiv:2312.04076, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:02.007187Z"},"links":{"cited_paper":"/paper/2312.04076","citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:1eadd466baedbd2b595b0908edc43fc3c3de55c316ae02615f7373e82596869c","observation_id":"dde1ff41-5a67-4728-82f1-f784c595b202","resolution":{"observed_at":"2026-08-06T21:46:02.007187Z","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":"2026-08-06T21:46:02.742041Z","title":"Regionclip: Region-based language- image pretraining","venue":null,"work_id":"ed5c5b5f-56c7-438f-9482-337f52c17f4c","year":2022},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:02.083073Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:088551113e239801d31b8c4a2e3db04950af05f5be478559c1abb1687d53c711","observation_id":"b13f4e3d-710c-4d46-b2bd-61e6ae75c0fe","resolution":{"observed_at":"2026-08-06T21:46:02.807417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:02.618262Z","title":"Relclip: Adapting language- image pretraining for visual relationship detection via rela- tional contrastive learning","venue":null,"work_id":"ce03b2cd-1962-4c2b-96e4-0f911891ea85","year":null},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:02.167435Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:18fb4d8beaa5700bd0241096cf1096d3d198d8f6ca57f1eccb1a16464f9b952c","observation_id":"15d59c97-d7a3-4b17-b0ac-37ee4fb5d7bf","resolution":{"observed_at":"2026-08-06T21:46:02.679618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:02.426506Z","title":"w/o ac- tion knowledge","venue":null,"work_id":"1962f01a-3b50-4968-9b2e-76cca7aea986","year":null},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":336,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:02.319525Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:2511b3c42908f4b9b3d5148e6ba8be623d0ad540c05c90c8932564a8153b294b","observation_id":"757f26c7-3387-439a-ba94-4b7b9d7a6fe0","resolution":{"observed_at":"2026-08-06T21:46:02.464676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:46:02.511100Z","title":"Datasets Details Flickr30K[50] dataset contains 31,000 images collected from the Flickr website","venue":null,"work_id":"2e46dd66-e0bb-41ab-8549-32158a85e3e1","year":null},"citing_paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:02.237082Z"},"links":{"citing_paper":"/paper/2506.23502"},"observation_digest":"sha256:6e5eefaa28402d91e31523f73d7f111262de4d515a4dc0bc046772c325179300","observation_id":"7d955b46-826e-4e4d-821c-5930fc88c276","resolution":{"observed_at":"2026-08-06T21:46:02.578898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.23502","last_updated":"2025-07-12T09:48:32Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T21:38:04.444768Z","submitted_at":"2025-06-30T03:49:08Z","title":"LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":52},"total_outbound_references":56},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2506.23502."}