{"as_of":"2026-08-06T01:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d4e8cdf6a3d40ac2f9efbcbb80c32d132bab5eaeb23bd6fd17f84ac76454ecaa","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T10:46:33.281234Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2607.14125/citation-record","integrity":"/paper/2607.14125/integrity","json":"/paper/2607.14125/citation-record.json","paper":"/paper/2607.14125"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:46:33.275151Z","title":"Given a set of prompts P, for any prompt weighting scheme S (cf","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.275151Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:e2e7f3f82070552b7358086ab35c28931ea548567af6db00d724c9da6f44bb0c","observation_id":"5018a05c-330c-4bdd-996d-8a7e76338d22","resolution":{"observed_at":"2026-08-02T10:46:33.275151Z","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":"2026-08-02T10:46:33.250988Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.250988Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:65ebe4a9ea4cf656d83a2737476e0de0e77c84b2d779e1b94190da035543abba","observation_id":"81e89b31-bf2d-457b-85dc-3adbba1c6034","resolution":{"observed_at":"2026-08-02T10:46:33.250988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1306.5151","last_updated":"2013-06-21T14:31:57Z","snapshot_observed_at":"2026-07-06T03:16:28.287173Z","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":"2026-08-02T10:46:33.230462Z","title":"Fine-grained visual classification of aircraft","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.230462Z"},"links":{"cited_paper":"/paper/1306.5151","citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:4b5fb9215bbc106673d7747a04b4b4000bf4331f985c268a3813d69b48299883","observation_id":"5c425dbb-5e94-4a9a-9351-bfbcba6935b8","resolution":{"observed_at":"2026-08-02T10:46:33.230462Z","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":"2026-08-02T10:46:33.241207Z","title":"no training","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.241207Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:dbfcf025b8def234bfd65d088c860437ab0bfed359a13c50d2aa2e3785a8c77b","observation_id":"9bdf0e06-5bea-41b7-acbb-e14227d5ed55","resolution":{"observed_at":"2026-08-02T10:46:33.241207Z","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":"2026-08-02T10:46:33.254897Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.254897Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:68509d1bab5336168d6d6638da7d63f4c5aa727f80b39df3208fa5183c38b8f8","observation_id":"c8dabbc8-9f63-4a3b-ba61-348680088b59","resolution":{"observed_at":"2026-08-02T10:46:33.254897Z","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":"2026-08-02T10:46:33.258257Z","title":"log Γ(αc,0)− nX i=1 log Γ(αc,i) + nX i=1 (αc,i −1) logw i,c # (αc,0 = nX i=1 αc,i) 20 Published as a conference paper at ICLR 2026 and log posterior logp(W|x (t),P) = CX c=1","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.258257Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:bf691a93b4068605503b269cf10ee71425b7c9dea965817a8cd2c99e2782875e","observation_id":"6f1b0f9c-7068-4cdd-bdb1-734949076470","resolution":{"observed_at":"2026-08-02T10:46:33.258257Z","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":"2026-08-02T10:46:33.262035Z","title":"15), for the following reasons","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.262035Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:6199cef3defcb3ee6a51efc387a3ff4559dbff3945af61dc7a64504daee349a8","observation_id":"8d69cd33-9506-4039-b11d-9e761ed15666","resolution":{"observed_at":"2026-08-02T10:46:33.262035Z","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":"2026-08-02T10:46:33.268651Z","title":"Pool Method ImageNet Acc","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.268651Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:fba7691bd326b8492019a898ee189304c2251592238df86b5a95ad66b9a9013d","observation_id":"08768927-f7e4-4473-b90b-bf5e795c8883","resolution":{"observed_at":"2026-08-02T10:46:33.268651Z","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":"2026-08-02T10:46:33.271766Z","title":"estimating","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.271766Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:e9e621e71b596f937e43d5e6ed2dd06c74749ccc32af3baaaa9cb8cf52e94546","observation_id":"9522475b-8ec0-4e24-948d-b6048be2234b","resolution":{"observed_at":"2026-08-02T10:46:33.271766Z","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":"2026-08-02T10:46:33.278165Z","title":"a low resolution photo of a{}","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.278165Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:cd8237d91e8e06dfc3ce20b5579a100d7a5c367a12c4a5c6cae9e845bfb7172b","observation_id":"830e8b2d-ef52-4d56-bc08-0068c5490917","resolution":{"observed_at":"2026-08-02T10:46:33.278165Z","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":"2026-08-02T10:46:33.281234Z","title":"Human Selection","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.281234Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:9944a845d27aa41a1ee442c4e3c9a64e9f565ae93ac821b7d3ea9a2ce4de96e0","observation_id":"0fadd47c-2d9d-4ed0-ad74-98c2c56f91c5","resolution":{"observed_at":"2026-08-02T10:46:33.281234Z","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":"2026-08-02T10:46:33.265251Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.265251Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:8ea1ca797cff3fc537e4eba353a2cfbc0de6a087ca9aada629fab41c5fb4ebdb","observation_id":"a9a06125-ca4b-4382-8437-82e8a43ff379","resolution":{"observed_at":"2026-08-02T10:46:33.265251Z","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":"2026-08-02T10:46:33.244746Z","title":"ImageNet and its Variants.Following Allingham et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.244746Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:a4a7469b9474804a64affb9df53dff76e0fc6d27f0b6b6bb028d7570ceb94888","observation_id":"6ab490a6-a2ea-494d-bf37-bca5229a2ac2","resolution":{"observed_at":"2026-08-02T10:46:33.244746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-02T10:46:33.234189Z","title":"Visual classification via description from large language models","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.234189Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:fe80dfd36fb212303c21396d4666851796078db7e36f0816cafada9bce3da6a1","observation_id":"79737ace-169a-4f08-9b5d-4ea509a6f9c0","resolution":{"observed_at":"2026-08-02T10:46:33.234189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02114","last_updated":"2021-11-03T10:16:39Z","snapshot_observed_at":"2026-08-02T08:12:49.547570Z","submitted_at":"2021-11-03T10:16:39Z","title":"LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02114","snapshot_observed_at":"2026-08-02T10:46:33.237674Z","title":"Laion-400m: Open dataset of clip-filtered 400 million image-text pairs.arXiv preprint arXiv:2111.02114,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.237674Z"},"links":{"cited_paper":"/paper/2111.02114","citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:8d5c4649069438bfdc0849584531003b0c418cf6cab3b935ed6ee6a57bc23644","observation_id":"3d94985e-f1af-46ef-9642-0f277849eb83","resolution":{"observed_at":"2026-08-02T10:46:33.237674Z","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":"2026-08-02T10:46:33.247838Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.247838Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:3abd00e8fb60cd557c4f9c31134b372a9243999b5bb55e92d5d936e12125b7e0","observation_id":"581d5023-2d15-45b0-9158-b00af00f9894","resolution":{"observed_at":"2026-08-02T10:46:33.247838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.04779","last_updated":"2016-11-08T06:11:30Z","snapshot_observed_at":"2026-07-06T04:49:33.981350Z","submitted_at":"2016-03-15T17:44:32Z","title":"Revisiting Batch Normalization For Practical Domain Adaptation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.04779","snapshot_observed_at":"2026-08-02T10:46:33.226861Z","title":"Revisiting batch normalization for practical domain adaptation.arXiv preprint arXiv:1603.04779,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.226861Z"},"links":{"cited_paper":"/paper/1603.04779","citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:8e4de4ed9bd9200cd30f7f44c43b52c29fb66d8e3c95fecf099a192a034df5f7","observation_id":"cb070137-6062-4462-8dde-05c0444b7318","resolution":{"observed_at":"2026-08-02T10:46:33.226861Z","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":"2026-08-02T10:46:33.219127Z","title":"Domain-adversarial training of neural networks","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.219127Z"},"links":{"citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:fbb23f02a78fa143005e53ed87d8660fbe7ae635e4a42426217fc32b4beccca7","observation_id":"71deb1d3-060d-4ba0-8926-aa7940a76c47","resolution":{"observed_at":"2026-08-02T10:46:33.219127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1212.0402","last_updated":"2012-12-03T14:45:31Z","snapshot_observed_at":"2026-07-06T03:01:10.229407Z","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":"2026-08-02T10:46:33.223065Z","title":"Maple: Multi-modal prompt learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T10:46:33.223065Z"},"links":{"cited_paper":"/paper/1212.0402","citing_paper":"/paper/2607.14125"},"observation_digest":"sha256:ebb74d5f04d979ab14f289e3337cc6339a591bf185a394591e55dee4c88b08e3","observation_id":"d7bc411c-a898-4999-8758-6630ae9f39c3","resolution":{"observed_at":"2026-08-02T10:46:33.223065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.14125","last_updated":"2026-06-19T07:15:46Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T10:46:28.760534Z","submitted_at":"2026-06-19T07:15:46Z","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":19},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.14125."}