{"as_of":"2026-08-18T05:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:694f9f5bdb903da8bacc5dd4105ad1dc47a45d6925a44cdae5ebe14a45538e41","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:24:42.314236Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.14148/citation-record","integrity":"/paper/2501.14148/integrity","json":"/paper/2501.14148/citation-record.json","paper":"/paper/2501.14148"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:24:42.469712Z","title":"Training is performed on a single Nvidia V100 GPU","venue":null,"work_id":"73be4dc1-6012-4ba2-8f51-f34feb6be137","year":2022},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.299488Z"},"links":{"citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:d4c4d44e747e19705e857dc4be0107269445d911a3566ef0b60a057aeba5c594","observation_id":"95df2f46-6024-4be3-a59e-07d054b8312d","resolution":{"observed_at":"2026-08-10T15:24:42.474259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1212.0402","last_updated":"2012-12-03T14:45:31Z","snapshot_observed_at":"2026-08-16T21:21:44.768787Z","submitted_at":"2012-12-03T14:45:31Z","title":"UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1212.0402","snapshot_observed_at":"2026-08-10T15:24:42.280796Z","title":"R., and Shah, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.280796Z"},"links":{"cited_paper":"/paper/1212.0402","citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:bb609ebfcac64245f9bfad55c45644d5e118e7c8328c082a628db2bc23a91fb6","observation_id":"fb824a61-1512-4704-acbc-736d5c04df85","resolution":{"observed_at":"2026-08-10T15:24:42.280796Z","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":"2026-08-10T15:24:42.483333Z","title":null,"venue":null,"work_id":"538001bb-93cb-4e10-83d0-35f7479370eb","year":2023},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.295119Z"},"links":{"citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:e8bf1de6e8ebb2f45e27fa4e98041bf90600c3078883cb3975679425f8d8bdb4","observation_id":"09eb3f67-a5b6-41e7-b845-a5b21609e201","resolution":{"observed_at":"2026-08-10T15:24:42.487629Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:24:42.454677Z","title":"A similar multi-modal approach was proposed in PromptSRC (Khattak et al., 2023), which, unlike MaPLe, focused on learning task-agnostic and independent prompts for text and images","venue":null,"work_id":"1ad3c4d1-b1cd-4d99-a7bc-3caeec7f5c53","year":2023},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.304805Z"},"links":{"citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:9618eec5f70df95c37ce397387f486af29454337b1d4cb3e449b1b7505b4360f","observation_id":"da71673d-1e94-4073-b9c5-eb974010c965","resolution":{"observed_at":"2026-08-10T15:24:42.459379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:24:42.441278Z","title":null,"venue":null,"work_id":"8bb1fdda-0540-4b71-975a-7f36f07cc90e","year":2020},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.309245Z"},"links":{"citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:8e91ff720f16150da6a66a169ce3a9f6ba80d88b818517568e7213825ee2eedc","observation_id":"a572aef1-e5eb-49f8-ad76-2658c6cf61c7","resolution":{"observed_at":"2026-08-10T15:24:42.445195Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:24:42.426648Z","title":"Both GRIP and CPL adopt an iterative process, where the model is used to continuously refine and select additional samples from the unlabelled set","venue":null,"work_id":"5bb18045-7ecd-4087-a667-8acaa69a9405","year":2017},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.314236Z"},"links":{"citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:ceccc2102d7dfacc7dc6d039e400167826da428437c0faf33a8d84b513edc5be","observation_id":"fc47aef5-32bb-4054-acea-fc6e7b166ac7","resolution":{"observed_at":"2026-08-10T15:24:42.432406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:24:42.513663Z","title":"The caltech-ucsd birds-200-2011 dataset","venue":null,"work_id":"5e30a6a2-de99-421a-bbc8-4dda5f4f782b","year":2011},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.286000Z"},"links":{"citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:8709ab4a12fddcfb8bf87b3dd5615340395deb7aa70553b47ad3bdf31c66fd4b","observation_id":"503bf76b-99f9-4e07-aeea-fc94bc829a89","resolution":{"observed_at":"2026-08-10T15:24:42.517333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12748","last_updated":"2023-04-18T18:28:51Z","snapshot_observed_at":"2026-08-16T15:49:00.271943Z","submitted_at":"2023-03-11T17:14:04Z","title":"Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12748","snapshot_observed_at":"2026-08-10T15:24:42.271028Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.271028Z"},"links":{"cited_paper":"/paper/2303.12748","citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:7fad8b841dc98d93e62f9c5086c9acf6c646677922ae690dcc2e0502eb1125f5","observation_id":"9de05a0e-2fb9-4c1c-9d71-77166867c066","resolution":{"observed_at":"2026-08-10T15:24:42.271028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03649","last_updated":"2022-08-22T08:45:33Z","snapshot_observed_at":"2026-08-16T17:08:29.314804Z","submitted_at":"2022-04-07T17:59:57Z","title":"Unsupervised Prompt Learning for Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03649","snapshot_observed_at":"2026-08-10T15:24:42.261667Z","title":"Unsupervised prompt learning for vision-language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.261667Z"},"links":{"cited_paper":"/paper/2204.03649","citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:bb51978eba012f47d1349ea565c1824025cec574f769f314d6faf5bb6ddf3d76","observation_id":"5a995eca-1990-4d86-a025-a70c9c507f54","resolution":{"observed_at":"2026-08-10T15:24:42.261667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03117","last_updated":"2023-04-01T06:47:44Z","snapshot_observed_at":"2026-08-16T16:26:19.898512Z","submitted_at":"2022-10-06T17:59:56Z","title":"MaPLe: Multi-modal Prompt Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03117","snapshot_observed_at":"2026-08-10T15:24:42.266421Z","title":"U., Rasheed, H., Maaz, M., Khan, S., and Khan, F","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.266421Z"},"links":{"cited_paper":"/paper/2210.03117","citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:c5de4a729f24581ae25612819e42a08af839da6e50753351b06a27ea8d34901c","observation_id":"a203636d-42fc-443b-a800-f1eaed255ff5","resolution":{"observed_at":"2026-08-10T15:24:42.266421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.17274","last_updated":"2022-06-03T17:52:04Z","snapshot_observed_at":"2026-08-16T17:10:09.647539Z","submitted_at":"2022-03-31T17:59:30Z","title":"Exploring Visual Prompts for Adapting Large-Scale Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.17274","snapshot_observed_at":"2026-08-10T15:24:42.255628Z","title":"Exploring visual prompts for adapting large-scale models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.255628Z"},"links":{"cited_paper":"/paper/2203.17274","citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:6e32e65567628f3bdd9b9118d2972a50b8828dc2adfb4ec70d2d92068076dc6a","observation_id":"4e785651-5e9e-4fa0-adec-4410538c4b2c","resolution":{"observed_at":"2026-08-10T15:24:42.255628Z","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":"2026-08-10T15:24:42.497654Z","title":null,"venue":null,"work_id":"025fd2e3-741c-4e34-9500-709cef11fc7d","year":2008},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.290643Z"},"links":{"citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:55db8b3c13763fb9fd84533cbf73f938e167dfdd81bcc89d5bc74c4ac70336dd","observation_id":"d62202e2-bce3-4817-bb0b-531d2c74fce2","resolution":{"observed_at":"2026-08-10T15:24:42.503510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1306.5151","last_updated":"2013-06-21T14:31:57Z","snapshot_observed_at":"2026-08-12T17:35:23.022229Z","submitted_at":"2013-06-21T14:31:57Z","title":"Fine-Grained Visual Classification of Aircraft","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1306.5151","snapshot_observed_at":"2026-08-10T15:24:42.276179Z","title":"Fine-grained visual classification of aircraft","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T15:24:42.276179Z"},"links":{"cited_paper":"/paper/1306.5151","citing_paper":"/paper/2501.14148"},"observation_digest":"sha256:96c38a9ec4c685083eaf434a3048bd36ca7fe11f4e5fa75b42d83aef22f39770","observation_id":"92d80575-24a5-4be0-9cb6-efc3cc6b68a1","resolution":{"observed_at":"2026-08-10T15:24:42.276179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.14148","last_updated":"2025-01-28T23:21:56Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T23:26:50.446946Z","submitted_at":"2025-01-24T00:31:01Z","title":"SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":13},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2501.14148."}