{"as_of":"2026-08-15T02:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c54a02a8b7262b79a46b115d91702837ac74ad92fd67759c6b3ce6518f280c4d","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:39:16.822508Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:35:56.603869Z","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":"2026-05-12T10:11:27.432476Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01120","snapshot_observed_at":"2026-08-07T23:35:56.603869Z","title":"arXiv preprint arXiv:2501.01120","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08826","last_updated":"2025-06-02T17:15:08Z","snapshot_observed_at":"2026-08-13T06:43:56.200965Z","submitted_at":"2025-02-12T22:33:41Z","title":"Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T23:35:56.603869Z"},"links":{"cited_paper":"/paper/2501.01120","citing_paper":"/paper/2502.08826"},"observation_digest":"sha256:8d8ebd318a7dd79420fbda377a4dbd2c01f8d1491866624cc920c55b016a904f","observation_id":"1dc58f8b-d36e-4198-851d-26e621e7aacc","resolution":{"observed_at":"2026-08-07T23:35:56.603869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01120","snapshot_observed_at":"2026-08-06T18:37:13.545125Z","title":"Retrieval-augmented dynamic prompt tuning for incomplete multimodal learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.07802","last_updated":"2025-07-11T16:27:52Z","snapshot_observed_at":"2026-08-09T11:10:25.494357Z","submitted_at":"2025-07-10T14:28:12Z","title":"Synergistic Prompting for Robust Visual Recognition with Missing Modalities","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:37:13.545125Z"},"links":{"cited_paper":"/paper/2501.01120","citing_paper":"/paper/2507.07802"},"observation_digest":"sha256:ac43be144ad1fda47c778d333ec93bc332e4698a1f0a60d07cd7b56a45671db2","observation_id":"dd0e78d9-ab23-42cd-902a-4f3c0eb0a959","resolution":{"observed_at":"2026-08-06T18:37:13.545125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01120","snapshot_observed_at":"2026-08-05T20:28:54.520046Z","title":"Lang et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10955","last_updated":"2025-08-14T07:25:45Z","snapshot_observed_at":"2026-08-13T23:10:52.614750Z","submitted_at":"2025-08-14T07:25:45Z","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","version":1},"reference_index":128,"source":"arxiv_source","source_observed_at":"2026-08-05T20:28:54.520046Z"},"links":{"cited_paper":"/paper/2501.01120","citing_paper":"/paper/2508.10955"},"observation_digest":"sha256:0e3ed6c8966db1ba3701cd5ed34c85d792db148c7db39e44b8a4b2c16a63d2f3","observation_id":"f7e7203a-f91d-461c-bfc4-dcc97bacd985","resolution":{"observed_at":"2026-08-05T20:28:54.520046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"cited_work":{"arxiv_id":"2501.01120","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.01120","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Hein- rich Küttler, Mike Lewis, Wen-tau Yih, Tim Rock- täschel, et al","venue":null,"work_id":"13b1a988-54d3-4993-bf45-6a596ebbdaf8","year":2020},"citing_paper":{"arxiv_id":"2604.27934","last_updated":"2026-04-30T14:34:18Z","snapshot_observed_at":"2026-08-11T16:01:16.641468Z","submitted_at":"2026-04-30T14:34:18Z","title":"MM-StanceDet: Retrieval-Augmented Multi-modal Multi-agent Stance Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-07T07:33:18.416045Z"},"links":{"cited_paper":"/paper/2501.01120","citing_paper":"/paper/2604.27934"},"observation_digest":"sha256:819e1b30fa9394b0a8cf952d913ea710ade091ff6b51f0902bd4b314f9d046de","observation_id":"aaa60da7-4c1b-4d0c-a9b9-725a61be1487","resolution":{"observed_at":"2026-05-12T10:11:27.434259Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.01120/citation-record","integrity":"/paper/2501.01120/integrity","json":"/paper/2501.01120/citation-record.json","paper":"/paper/2501.01120"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1702.01992","last_updated":"2017-02-07T13:05:19Z","snapshot_observed_at":"2026-08-14T21:17:37.834822Z","submitted_at":"2017-02-07T13:05:19Z","title":"Gated Multimodal Units for Information Fusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.01992","snapshot_observed_at":"2026-08-10T22:39:16.645212Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.645212Z"},"links":{"cited_paper":"/paper/1702.01992","citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:fa53fb6ac3ca2ca7b6bb68217dfd0d57e6dc280f15cb66064c114f4516373b63","observation_id":"2dd8888f-ffba-4aa8-9bb9-e9808c98ebee","resolution":{"observed_at":"2026-08-10T22:39:16.645212Z","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":"2026-08-10T22:39:17.411660Z","title":null,"venue":null,"work_id":"103ec586-4024-4e14-b169-3512c7cecff1","year":2023},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.651100Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:f4de3455ee98f1756aad835621d2e8f25ab4946169f22472b200509729e100b5","observation_id":"ca132b57-14b6-4913-a340-137ab3a85e6d","resolution":{"observed_at":"2026-08-10T22:39:17.416562Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.396496Z","title":null,"venue":null,"work_id":"1922c932-8f0e-4530-8686-3526ee82d531","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.656602Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:e7d6b97fd844f6e6a4fed415c1c17ddeb609440369b7503b5e6c40168a5a8f63","observation_id":"affdb6e9-cf30-4c35-86ae-70c8598563d4","resolution":{"observed_at":"2026-08-10T22:39:17.401042Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.379937Z","title":null,"venue":null,"work_id":"2fc966c7-2493-40b4-bd28-b078fa1ea604","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.662390Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:b8968078e308767507754f4c1df1106a1938ac0d84c479b8418e750ef05f15ce","observation_id":"57fbe3d2-8902-4f24-ae8c-8a2a2ceca1b9","resolution":{"observed_at":"2026-08-10T22:39:17.385414Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.362002Z","title":null,"venue":null,"work_id":"df373537-dfa1-468c-bd4b-ab08d1a7d070","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.668436Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:ced46a78fc1007f6421028b6ace1aae0ccebb74b56f5adb0b34c3d507457c3f5","observation_id":"7ee587bc-c2eb-4324-a822-ff587cfea0d6","resolution":{"observed_at":"2026-08-10T22:39:17.367391Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.344258Z","title":"J.; Williams, A","venue":null,"work_id":"ff9440f7-ed79-40cb-a8b0-5f5542dd3dc7","year":2007},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.673863Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:f64fcd558430a22942ce21951a8815ab48f24ab5dbef5149a7193b94f20088b2","observation_id":"33e0374e-9096-42c6-8247-67ef5aa699e8","resolution":{"observed_at":"2026-08-10T22:39:17.350201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.325365Z","title":null,"venue":null,"work_id":"4fb6828d-4b59-4ee8-a41a-4e0ed132c357","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.679547Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:82816c2990e37fa6ee4e513883b05fd63ae60cf9b7382a2d38d41506a3c3fe15","observation_id":"bdc7dcf2-3a62-49dc-bbfe-f42c2699ad81","resolution":{"observed_at":"2026-08-10T22:39:17.330787Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.307336Z","title":"U.; Rasheed, H.; Maaz, M.; Khan, S.; and Khan, F","venue":null,"work_id":"aaf461e9-586f-474d-abf8-b7e93335a2b8","year":2023},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.685224Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:cdf694bcc0579003e28ab1b6ac8b5c735f7fe4767a908e7006b39d59257d34eb","observation_id":"451c0d6a-14d8-410e-9b73-9f3d1445e9d0","resolution":{"observed_at":"2026-08-10T22:39:17.313702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.289078Z","title":null,"venue":null,"work_id":"8dba8c6e-ee24-440d-bc60-a33b3e32a2ad","year":2020},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.690768Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:2d2e0e74d3125a35c936b8b520c6b5b01db5d8e00db42cd2d90cfd55e69de866","observation_id":"e7d55c13-2421-4d64-8ecf-24edf9f4f59e","resolution":{"observed_at":"2026-08-10T22:39:17.295053Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.271676Z","title":null,"venue":null,"work_id":"48d6666a-f356-48b4-8d84-d409fed46e49","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.695935Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:0666119b60ad8b8b4e8b375e128ca07600c8039b8a6b283634c86384e48dda34","observation_id":"8798801a-b326-419c-96e5-5f696b9ea29b","resolution":{"observed_at":"2026-08-10T22:39:17.276346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.257105Z","title":null,"venue":null,"work_id":"db27d8d6-1822-4d4a-a85e-04bd5835d038","year":2019},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.701225Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:574657c2873842e5859bac1b5cdd975f8ef77b8c88e171b51e88161d330d2cb7","observation_id":"81e84cd7-732d-4d89-94ab-33cfc948b9a0","resolution":{"observed_at":"2026-08-10T22:39:17.261412Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.239810Z","title":null,"venue":null,"work_id":"173d4ac2-7c94-4bce-8bed-ecd0c2766a3a","year":2023},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.707264Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:9d3a3324ad897099259b0289ca97da345fecf12f415d197b5ec593b29d0a62b7","observation_id":"1045931f-a1f0-4ee5-811c-eab0d5e7a947","resolution":{"observed_at":"2026-08-10T22:39:17.245971Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.222929Z","title":null,"venue":null,"work_id":"9ba3462d-7440-4e74-9d78-45803d397d98","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.712362Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:8c38109d5da7de8b7071d244aa869ef29aa6e3243168e4a63616eecaf25407f5","observation_id":"95b0de5b-c4c0-4512-8b86-55c5af9dc0cc","resolution":{"observed_at":"2026-08-10T22:39:17.228030Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.204936Z","title":"L.; and Liang, P","venue":null,"work_id":"d3745195-1670-4cd9-88f7-1929c3c7cd26","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.717313Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:ab42ae6800873cf37a1ce7a91f6d8f86a2a503133c91e09ad83a8cc542f1ee9c","observation_id":"bb28578e-8476-482c-9c90-0f1edeaf7b8d","resolution":{"observed_at":"2026-08-10T22:39:17.210673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:39:16.722180Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.722180Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:6e73f158bc60886e38f72d3d8f41e0e8e3f424e2965e891c0f36268b8880a000","observation_id":"161913c1-1525-4ea6-a480-f2c0e65ac396","resolution":{"observed_at":"2026-08-10T22:39:16.722180Z","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":"2026-08-10T22:39:17.175569Z","title":null,"venue":null,"work_id":"12700898-3639-4ca7-9e71-18fb2b87294c","year":2022},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.726942Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:e23f68259792577f56236a8f4a7620ce0cc51ab2e28b71bcb5d8cbc74ec0bd0e","observation_id":"cfbad200-a05b-448b-8e2b-70900db8bd19","resolution":{"observed_at":"2026-08-10T22:39:17.180346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.157507Z","title":null,"venue":null,"work_id":"cce025fd-63c9-494b-8f55-d97e5b4b5179","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.731372Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:921cb33411bc1b42760dcb1b645083fa6555c962f467c8c47079348ad4041550","observation_id":"ddf9ffb7-94a9-44a4-abbe-e9a360800d1b","resolution":{"observed_at":"2026-08-10T22:39:17.163599Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.141688Z","title":"W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al","venue":null,"work_id":"0edaa3e2-7de0-422c-93d4-74ec08d2fda7","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.735742Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:c07baa1163c681e25a501eba6ce34ac6e05d5307ef401576e51c34e9f1b07308","observation_id":"bdbce10b-19b7-4e8b-9520-db688d00386b","resolution":{"observed_at":"2026-08-10T22:39:17.146794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.126405Z","title":null,"venue":null,"work_id":"3da39cb7-b848-4f55-9d23-54a4a292de5c","year":2008},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.740608Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:e5cfc357f89f7bd7e3fd376c547def3ffa2b545607f2002782049a4ffcc4da11","observation_id":"d012548e-0b13-4c8b-82d9-e62adfcfb538","resolution":{"observed_at":"2026-08-10T22:39:17.131600Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.108520Z","title":null,"venue":null,"work_id":"49b3c984-10be-4d27-93ee-4a3ed2bdf4d5","year":2023},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.745281Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:32cce923f15d1bc88abe5a2ef150a7135487ea996f8fc26fa32ebf9fa5a0fcb0","observation_id":"1c55a8bc-3115-431e-a1c2-bb6af3ac1a51","resolution":{"observed_at":"2026-08-10T22:39:17.115150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.089423Z","title":null,"venue":null,"work_id":"e0169126-cb85-4540-aee3-32fb06d2d6df","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.750421Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:3b8d99e1eb08e98afbd9cb4d1dc3b3c75947ad9593fd4ce47eced7d471f6bf35","observation_id":"0e130ae7-eb24-4972-8270-02ecd5a2bfc0","resolution":{"observed_at":"2026-08-10T22:39:17.094242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.073565Z","title":null,"venue":null,"work_id":"75a57f05-16ce-4832-9342-a3911bcf34e6","year":2015},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.755506Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:355c01633b93fedc37542e70eb2b304ba2c9726b9bce009416e923dd13a46e9f","observation_id":"259794d7-e629-448e-907f-c23ff7bd814c","resolution":{"observed_at":"2026-08-10T22:39:17.078444Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.056277Z","title":"A.; and Kim, C","venue":null,"work_id":"4af84385-a684-46c0-a8cb-8cd496ade6dc","year":2023},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.760769Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:2c99f3396e8d804b1ab34eb9572626bfa901836c3738491835dc763e44c4ac83","observation_id":"1ebba29f-dda9-42c1-ad4b-275c4a1998c1","resolution":{"observed_at":"2026-08-10T22:39:17.061310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.039964Z","title":null,"venue":null,"work_id":"3d966226-39ab-496e-9054-21e0f23a93cc","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.765430Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:5a290eb7e5e5d9302d9572e94f9b375960625aa4ed5af1120063bcb9f7f7b5fa","observation_id":"835388d8-47db-4d40-b842-d4f3803626a8","resolution":{"observed_at":"2026-08-10T22:39:17.045148Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.022937Z","title":"K.; Liu, J.; and Qin, J","venue":null,"work_id":"214be390-1c09-43d3-9e4e-40f277980243","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.770834Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:8e0fc68f5061aa8349dc57ec91c26ab0fc919efdf6fd84d466ed879802a0df6e","observation_id":"40fb2387-f73c-4462-aad1-46dce5b21731","resolution":{"observed_at":"2026-08-10T22:39:17.027916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:17.007038Z","title":null,"venue":null,"work_id":"8e30b98f-eb59-474f-8e4e-c29a1a84a9e1","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.776493Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:64d071fa46e7d085ae6009183fa2bfdaa1c1c2102430328e01331ca7153eb108","observation_id":"a4e0ba5a-3f2a-455f-a279-d6cc1cc842a5","resolution":{"observed_at":"2026-08-10T22:39:17.011837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:16.988333Z","title":null,"venue":null,"work_id":"974f6353-f98b-44fe-9330-3c568dbc2313","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.782727Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:1bd67166d99700cd5ccf7e9ddc0805d1a6114d476b36b2a31f15b16c59fd4cab","observation_id":"a3461b48-2c17-452e-83fb-a5752e822d97","resolution":{"observed_at":"2026-08-10T22:39:16.995351Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:16.970792Z","title":null,"venue":null,"work_id":"08997458-a16c-42b1-a6f2-43f32f30113a","year":2024},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.787960Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:4c1209fab8a5fb0b4a85b55ff10aaf2e3afa4d822ff1d5b6ad426e2f3ca7415e","observation_id":"8ae3086c-4443-4993-b156-08ba8ff51092","resolution":{"observed_at":"2026-08-10T22:39:16.976046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:16.952885Z","title":null,"venue":null,"work_id":"c6f8cdec-0b16-4770-ae66-a54898961c79","year":2021},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.793910Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:756075a7c6dd513b9e96690ebbb238d9ce10fc9526c22b5a4aeb2c8c0c1816c0","observation_id":"152583ea-f661-4075-9e04-41b690ba3aa7","resolution":{"observed_at":"2026-08-10T22:39:16.958321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:16.935638Z","title":"C.; and Liu, Z","venue":null,"work_id":"17812948-6e4d-480c-b82e-bae694d17e4b","year":2022},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.799863Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:03dd81d727a40eb01eae227690cc3c2d308925fbb42118213f3137a8781b9038","observation_id":"e3437acf-7709-46f0-9c02-ac04f2358cca","resolution":{"observed_at":"2026-08-10T22:39:16.941217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:16.918273Z","title":"X.; and Wen, J.-R","venue":null,"work_id":"d2814e55-9dd9-4b05-b3f9-140f32d8dfa9","year":2022},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.805190Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:65a25c269c999ef4b342a84633f222b90b11ac2a0f4b06ba1d57dcbc7237c68c","observation_id":"f8d4d6b7-d3a4-4bad-a80d-7c1a18c41583","resolution":{"observed_at":"2026-08-10T22:39:16.923828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T22:39:16.901593Z","title":null,"venue":null,"work_id":"e4afca91-74fb-4d90-b777-97fbb1365c4b","year":2023},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.810908Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:71b9edce061419d04cfbae4cd00d0d373260e2586a14c849564a014510fca0ec","observation_id":"c18a5cea-8428-44f3-b34f-89aae624443f","resolution":{"observed_at":"2026-08-10T22:39:16.907170Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:39:16.816719Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.816719Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:1b095f50bc719cf3379a45e1228b20cf6740adc169db916c912b4b5a065cc415","observation_id":"5b67eb5e-e6b1-495f-870c-e23f3b2b1579","resolution":{"observed_at":"2026-08-10T22:39:16.816719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:39:16.822508Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T22:39:16.822508Z"},"links":{"citing_paper":"/paper/2501.01120"},"observation_digest":"sha256:2a48db41d706e095752cb677b4f451cd6ca351735b416db5177d9bbc7d769503","observation_id":"c9fb06b7-e114-4d59-80a3-edb02e651c08","resolution":{"observed_at":"2026-08-10T22:39:16.822508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.01120","last_updated":"2025-06-14T00:49:08Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T03:19:28.034040Z","submitted_at":"2025-01-02T07:39:48Z","title":"Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":34},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 4 inbound Pith citation observations for arXiv:2501.01120."}