{"as_of":"2026-08-06T10:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d70990cb05f30cc0f696863ddd947ddfe9a6df64c0580837d304ac090dd0a899","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T02:59:38.193627Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2607.05727/citation-record","integrity":"/paper/2607.05727/integrity","json":"/paper/2607.05727/citation-record.json","paper":"/paper/2607.05727"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.08529","last_updated":"2022-03-15T23:33:33Z","snapshot_observed_at":"2026-08-02T12:28:08.766206Z","submitted_at":"2021-10-16T09:44:06Z","title":"Sharpness-Aware Minimization Improves Language Model Generalization","version":2},"cited_work":{"arxiv_id":"2110.08529","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.08529","snapshot_observed_at":"2026-07-11T03:07:53.235984Z","title":"Sharpness-aware mini- mization improves language model generalization.arXiv preprint arXiv:2110.08529","venue":"cs.CL","work_id":"f71fbd98-4f15-4e08-8bf8-891f0d5a81f6","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/2110.08529","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:98286406c319ae692e0add1048f7d7076ab839b679eb26d92995262613f94683","observation_id":"75aae868-2129-40b9-a528-7549616bff10","resolution":{"observed_at":"2026-07-11T03:07:53.260660Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.527993Z","title":"In: Computer vision–ECCV 2014: 13th European conference, zurich, Switzerland, September 6-12, 2014, proceedings, part VI 13","venue":null,"work_id":"30c9bd80-8041-4ea4-a380-d2d7f531262e","year":2014},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:467987cc7c17bdb34fc9703e5ee58b6c200f4a629d4a3bb1efc05522203a80ec","observation_id":"93955133-84fc-4580-b31a-9246dc30d6a9","resolution":{"observed_at":"2026-07-11T03:07:58.562074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.682703Z","title":"In: International conference on machine learning","venue":null,"work_id":"4d4121eb-dc51-4419-a555-caa9286ddc0c","year":2020},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:595432a3618830682a68142228edef40f02b2a4169aa39f45502b5c7bdc712cf","observation_id":"f933a49e-a680-49ae-aead-7d0e0e4f2829","resolution":{"observed_at":"2026-07-11T03:07:58.707052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.744390Z","title":"ICLR (2022)","venue":null,"work_id":"4d1d4ec0-60b3-4d26-a68e-2b363e50797c","year":2022},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:eb21d2f81db37547137568fe0903a62ec80bb47ff5a6cd2bcba6927b6bca73b0","observation_id":"791961c7-8baa-45d5-b850-5019302822e7","resolution":{"observed_at":"2026-07-11T03:07:58.772252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.163918Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"f0f1f137-af2f-4fa5-822e-323fe3f6bd98","year":2014},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:a807e640be60359a4740df4d8d88011a9488ad081825716558b30866de83173b","observation_id":"3cf1ba95-f98e-4150-b64a-1250f58f7030","resolution":{"observed_at":"2026-07-11T03:07:59.195252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.941246Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"e517eeb0-5c43-445d-8bb4-7f65087177d6","year":2009},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:dbc093e08b816ccbddafc71ee16f0728c242dd2238e0b04573324d2990c3c75f","observation_id":"93ed093a-b32b-40a0-aefb-d41ba1c547f7","resolution":{"observed_at":"2026-07-11T03:07:58.973617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10247","last_updated":"2026-05-11T10:40:10Z","snapshot_observed_at":"2026-07-06T19:32:51.287674Z","submitted_at":"2024-10-14T08:06:21Z","title":"LPT: Less-overfitting Prompt Tuning for Vision-Language Model","version":3},"cited_work":{"arxiv_id":"2410.10247","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.10247","snapshot_observed_at":"2026-07-11T03:07:53.205476Z","title":"LPT: Less-overfitting Prompt Tuning for Vision-Language Model","venue":"cs.CV","work_id":"653a7409-43d3-490a-ad0d-cb5e7da022fe","year":2024},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/2410.10247","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:39956e86f68ae96fad4808a2c32fcab3bdaabb4592b492f1e49020963c22daba","observation_id":"7442dd21-6f49-469f-a571-07a501ac2753","resolution":{"observed_at":"2026-07-11T03:07:53.230534Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.11008","last_updated":"2017-10-19T03:39:56Z","snapshot_observed_at":"2026-07-06T05:36:05.666091Z","submitted_at":"2017-03-31T17:56:41Z","title":"Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data","version":2},"cited_work":{"arxiv_id":"1703.11008","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.11008","snapshot_observed_at":"2026-07-11T03:07:53.176555Z","title":"Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data","venue":"cs.LG","work_id":"b937b541-32b0-4e7b-a327-9f4f79d467f7","year":2017},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/1703.11008","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:fefda0e6a36ea29ee93dcc9b8eda8dd40f71960f7bd443b84b2f0a573e7d91d4","observation_id":"12f49041-f42d-413b-a007-d27f1664a71c","resolution":{"observed_at":"2026-07-11T03:07:53.198841Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/cvpr.2004.383","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: 2004 Conference on Computer Vision and Pattern Recognition Workshop","venue":null,"work_id":"a8017327-2385-4e85-8d23-7554c42ad90a","year":2004},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:ab0cd2d823525af4c8578ae98641b61f81133f4016d73df73f80ebd1c57d2939","observation_id":"769ee353-776a-430d-94ed-65790c956d0e","resolution":{"observed_at":"2026-07-11T03:07:50.087016Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:18:56.1722+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:18:56.1722+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.01412","last_updated":"2021-04-29T16:44:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-03T19:02:10Z","title":"Sharpness-Aware Minimization for Efficiently Improving Generalization","version":3},"cited_work":{"arxiv_id":"2010.01412","doi":"10.48550/arxiv.2010.01412","metadata_source":"pith","pith_arxiv_id":"2010.01412","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sharpness-Aware Minimization for Efficiently Improving Generalization","venue":"cs.LG","work_id":"0f502a27-fa5d-459b-a595-548dc0691a9c","year":2020},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/2010.01412","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:6897a45f822827104dd172e4d61c6ed7c31fb2f4bdca0dd265cdb05bca2da6b0","observation_id":"3a9973e0-db38-47b1-accc-625680c21f31","resolution":{"observed_at":"2026-07-11T03:07:53.323901Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.877990Z","title":"In: International Conference on Learning Representations (2021)","venue":null,"work_id":"e5de6cb8-b938-4585-8f8c-81f77e591d2f","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:ec94b59abe5e497103148a305a520046adaa1159a41231dd008b852779b3fe8e","observation_id":"5d89531d-ece9-4f0a-95af-2721bb821dda","resolution":{"observed_at":"2026-07-11T03:07:58.906376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.805194Z","title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing12(7), 2217– 2226 (2019)","venue":null,"work_id":"b3db3dfb-3729-4c29-b2a4-863771e7b2c5","year":2019},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:39ca175af9bb28508e6dfacac2a8155acbdea6a1d58c919cedf4cf28bc21ea70","observation_id":"204459ef-2ed5-430a-9edc-b09da1f1d558","resolution":{"observed_at":"2026-07-11T03:07:58.838517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.653982Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"2b42ac4b-8b63-4295-aa9e-72012235e428","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:fc9851f21448234de40dca40fd624cd3372355bbb9b61a7468b1c2ce94c8addd","observation_id":"9b7aa499-746c-42f2-a893-3ec8335a8469","resolution":{"observed_at":"2026-07-11T03:07:58.679168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.598139Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"cdb689be-d059-4308-80c2-e541c082c07a","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:5079bfb55666fe33c81775f249fbe9283b0f28b2ceadac21455e46f117a9ac10","observation_id":"dc876059-c04e-4c7f-a19d-11a68b6f127c","resolution":{"observed_at":"2026-07-11T03:07:58.621144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.625009Z","title":"In: ICLR (2025),https://openreview.net/forum?id=vf5aUZT0Fz","venue":null,"work_id":"a46bb5d5-4dcf-4354-8b94-713aca27802f","year":2025},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:25b59ae5a277f9062fd453bf9f31ef39f757aa4bd758ca5f125d2de2a848de24","observation_id":"63c01ca0-3120-48ec-ae44-e53bbcb74266","resolution":{"observed_at":"2026-07-11T03:07:58.649194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.844170Z","title":null,"venue":null,"work_id":"52b0f601-4673-4d09-990a-5e6559decbe6","year":2020},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:9357ce83051ef887aa89eb17f615df32534a68936e709f993fd5b3971b2f633f","observation_id":"41398d0b-bb75-4ab9-9dfe-713393a42f45","resolution":{"observed_at":"2026-07-11T03:07:58.872938Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.566558Z","title":"In: Annual Conference of the European Association for Computer Graphics, Eurographics (2022)","venue":null,"work_id":"deb744a0-a84e-4a5a-a04e-f03a40d82c39","year":2022},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:c3f571d28d5e9d24091b6cc885a476414691bbab24b63910c43deb30979e8e96","observation_id":"0c7f8001-6b23-4617-a8c1-82d536f4b645","resolution":{"observed_at":"2026-07-11T03:07:58.594542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.712618Z","title":"In: International conference on machine learning","venue":null,"work_id":"e6164d9f-1b2e-4f60-b2c5-0e54d11af273","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:ef8cc391f0e804e6566d6bbb184819c5a4db7712d752b3fca73d669502281931","observation_id":"7089eb87-ae15-4934-8c4f-ebee4d370b7f","resolution":{"observed_at":"2026-07-11T03:07:58.739290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.04836","last_updated":"2017-02-09T20:38:16Z","snapshot_observed_at":"2026-07-06T05:10:58.923264Z","submitted_at":"2016-09-15T20:03:06Z","title":"On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima","version":2},"cited_work":{"arxiv_id":"1609.04836","doi":"10.48550/arxiv.1609.04836","metadata_source":"pith","pith_arxiv_id":"1609.04836","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima","venue":"cs.LG","work_id":"01efb355-7c12-4b89-bc42-91ee46ee276b","year":2016},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/1609.04836","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:3cf8c66c2cabac67e7712388bcaf6e82bc9270b1fc9b90574f389f2169186609","observation_id":"8017e8d0-6dde-4f98-bd51-01a2f94bb49a","resolution":{"observed_at":"2026-07-11T03:07:53.421988Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.462535Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"39b07f77-c198-446d-a8bd-93417ce0493e","year":2023},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:e12b8c3a6322ba43bb2882ee8e9016c8dec9aa3b4888f77c7323107f6b9ec574","observation_id":"acd4abc5-df55-48c5-8c4a-010c5ecaa2f6","resolution":{"observed_at":"2026-07-11T03:07:58.491110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.127949Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"0707f829-6707-4a81-aee7-2e4168883a1a","year":2023},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:1aba5b6713b68d7bb8ce24179cf3d03ae27e0077e8f6fe3c61eb5c80eda43425","observation_id":"76b9af51-a569-41a3-a0ac-7852fbcc8adc","resolution":{"observed_at":"2026-07-11T03:07:59.159504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.978284Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"9df37292-a249-4893-8dee-ef3e7ddce3a4","year":2022},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:1cb28433554a79a231ebe78691b514ee395d3ba525755ae8d8064bffe453cb95","observation_id":"775e4d0a-e09a-4b83-894a-feec8f1cff2c","resolution":{"observed_at":"2026-07-11T03:07:59.020439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.397617Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops","venue":null,"work_id":"201a9c3c-022f-4aa9-8c13-3873b28b147a","year":2013},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:29c1ffbd08e368209a60acbcb26f21628ad30c95cd4c8ee3719eb8708184afce","observation_id":"58d32046-80b8-4c8d-800f-687a7bd7d5b1","resolution":{"observed_at":"2026-07-11T03:07:58.424934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.428614Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"04a0a33e-a797-405c-9776-478893dd24fc","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:3b53193f6ad6b5c27a38ef763f7de1766bf3d0fbf79a78948ff00df8b27b6a57","observation_id":"8eaecf24-7be4-4696-9e81-1cb3b60a0669","resolution":{"observed_at":"2026-07-11T03:07:58.455329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.365100Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"f4efd05a-9d29-4eec-99e5-2148453b2850","year":2024},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:73dd1fab5a91091356eece07e7712be35364c409a8d011b4263459f9a9b96d67","observation_id":"afb556ca-26bd-47de-a9d3-240366ba20aa","resolution":{"observed_at":"2026-07-11T03:07:58.391214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tmm","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:07:50.025587Z","title":"Stowell, D","venue":null,"work_id":"187d9424-e061-458e-9cf8-8441a2ccf832","year":2024},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:71648bb894571e622a1e4c9a64fe22c2cc127e3cba9973fc092df6258b6b91a1","observation_id":"d635a684-4bb6-4828-b040-f0ac3c8903b3","resolution":{"observed_at":"2026-07-11T03:07:50.055764Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.304777Z","title":"IEEE Transactions on Machine Learning in Communications and Networking4, 98–114 (2025)","venue":null,"work_id":"fbc58861-ac5d-470f-b7a3-9028ea703e7b","year":2025},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:57151be924a0b413eced159b963dd6bf017038747af3155cfe8a2f694630bcd3","observation_id":"022f8576-2701-41ed-86f6-5dfd856410e3","resolution":{"observed_at":"2026-07-11T03:07:58.333668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.337010Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition","venue":null,"work_id":"2ff84836-53b7-4235-8a5c-33315abf3f99","year":2022},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:bd4438992a894b0eeb1abd494b19774a4237133fa02ba7404afb320e683aec7e","observation_id":"73f77fa3-ab80-4c6b-aa7d-435f2328d617","resolution":{"observed_at":"2026-07-11T03:07:58.361507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1306.5151","last_updated":"2013-06-21T14:31:57Z","snapshot_observed_at":"2026-07-06T03:16:28.287173Z","submitted_at":"2013-06-21T14:31:57Z","title":"Fine-Grained Visual Classification of Aircraft","version":1},"cited_work":{"arxiv_id":"1306.5151","doi":null,"metadata_source":"pith","pith_arxiv_id":"1306.5151","snapshot_observed_at":"2026-07-11T03:07:53.092922Z","title":"Fine-Grained Visual Classification of Aircraft","venue":"cs.CV","work_id":"ed360110-3ce4-4959-8c74-1785cd9e537d","year":2013},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/1306.5151","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:38d1962b8e08acd6dcaaecca6448b96505e105520421bd52d10eccc3080de168","observation_id":"5167bd97-3044-4052-a9e0-41ba417fd2f1","resolution":{"observed_at":"2026-07-11T03:07:53.169600Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.495282Z","title":"In: 2008 Sixth Indian conference on computer vision, graphics & image processing","venue":null,"work_id":"f8e07a67-1536-450a-99f8-bfdd9589efb4","year":2008},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:35363809781887a96eaa4ffc0a6f48c2c78a30653f2780adf53d22a86eaa01cd","observation_id":"b5054cac-3233-458c-9ab0-f0cde4432a88","resolution":{"observed_at":"2026-07-11T03:07:58.520289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08760","last_updated":"2018-06-18T18:01:43Z","snapshot_observed_at":"2026-07-06T06:25:07.039294Z","submitted_at":"2018-02-23T23:11:07Z","title":"Sensitivity and Generalization in Neural Networks: an Empirical Study","version":3},"cited_work":{"arxiv_id":"1802.08760","doi":"10.48550/arxiv.1802.08760","metadata_source":"pith","pith_arxiv_id":"1802.08760","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sensitivity and Generalization in Neural Networks: an Empirical Study","venue":"stat.ML","work_id":"4b0fa075-c278-4778-86f8-2b6e08118df8","year":2018},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/1802.08760","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:e3a140807918ef373dc1d117635cba150ac18ed4b7b8265664b16a1df488d714","observation_id":"61786735-f555-45b4-9c58-6a0ddd41f1df","resolution":{"observed_at":"2026-07-11T03:07:53.085827Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.199569Z","title":"In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"2103b109-0dfd-46fb-b32c-ae8f3042400e","year":2012},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:a269f6f1c786cf7334bee7b9d13220bc376536c0d6f3f1a44395ea831b545afb","observation_id":"5e6810e6-d30c-4c2b-a24e-93feab4b081f","resolution":{"observed_at":"2026-07-11T03:07:59.243735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.093620Z","title":"In: International conference on machine learning","venue":null,"work_id":"2e5c3ddd-7a21-488a-b7d8-1a5f81aa56e0","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:e6c1fe55617dbb7a3e55fd85766475de481db012861d9ebab60779d54ff387db","observation_id":"cb400da3-ea5a-4920-bb52-6b4a9567c25d","resolution":{"observed_at":"2026-07-11T03:07:59.124065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.049305Z","title":"Advances in Neural Information Processing Systems38, 168772–168794 (2026)","venue":null,"work_id":"404a6a22-3db9-4bcc-9954-acff27bad44d","year":2026},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:63d3e0874b07af117475c707884fd70ddabe0c3788892f3379da85f338657400","observation_id":"a1bbe9df-846a-48d9-ab28-7bb32a19f51e","resolution":{"observed_at":"2026-07-11T03:07:58.075812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.148306Z","title":null,"venue":null,"work_id":"058c1f8c-8d67-44a5-91a4-53f872d0fe62","year":2019},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:72e858c01b85a0cccf8dad49eb0f46e49d87938d978bbde21a8d00583e7cb463","observation_id":"f714fa7d-7dfc-44b2-9cef-8c172f76528a","resolution":{"observed_at":"2026-07-11T03:07:58.172938Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1212.0402","last_updated":"2012-12-03T14:45:31Z","snapshot_observed_at":"2026-07-06T03:01:10.229407Z","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":"1212.0402","doi":"10.48550/arxiv.1212.0402","metadata_source":"pith","pith_arxiv_id":"1212.0402","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild","venue":"cs.CV","work_id":"5dfb46e7-e952-409d-a3c7-ba7f20aebad6","year":2012},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/1212.0402","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:99c2febdef31b4c54aff2730231a731bfda993c1061251a4bc3cc80142edc28b","observation_id":"5593ccd5-e373-4180-a80e-5d8683e05e94","resolution":{"observed_at":"2026-07-11T03:07:53.389662Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.237992Z","title":"Advances in Neural Information Processing Systems32(2019)","venue":null,"work_id":"30efc752-ef91-4530-b0b0-3c5bcefa27a7","year":2019},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:6b06c9ecb5e1e993e4ca9e80ed93ed96dcd4bbdee6aeabeb68f207a69c338c7e","observation_id":"b09af17f-c6fa-4076-8c6e-f8b4be86493c","resolution":{"observed_at":"2026-07-11T03:07:58.267285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.060917Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"b1f7b628-4df3-4207-a447-dc2c96e112a7","year":2023},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:b623f8744009eed9fecc17f11ba6f3603cc280329547384a78e659d7529a35ba","observation_id":"f260cbd6-bba6-4dad-a7bc-4e30767cace9","resolution":{"observed_at":"2026-07-11T03:07:59.089856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.910179Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"124ef2f6-9307-4937-b6ac-476df75b1f24","year":2010},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:26ab4f37b21be77fc26734957e2904d6ff6a0de26752ec3950787714cbcd39eb","observation_id":"75f28fa5-7bd3-4450-8d40-c2ad34fb2831","resolution":{"observed_at":"2026-07-11T03:07:58.935538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.247564Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"85b4128f-4bc8-434a-8ed3-911475a0a6da","year":2023},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:a34991c8f195fc2e66d45e9524287efc55836e8662fb5596efab32d216f6aef2","observation_id":"dc019726-068b-4f27-b415-9f715a46b621","resolution":{"observed_at":"2026-07-11T03:07:59.278758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.283275Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"5805a8fe-9f52-45ce-857a-34e41dc1f829","year":2024},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:a8c1d7fa9220c39618731c18c1354fb4bff38d905b642d18931767eacbab9b88","observation_id":"501c8fc3-3a43-4cc5-b2ab-bf763e70998c","resolution":{"observed_at":"2026-07-11T03:07:59.311442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.07783","last_updated":"2021-11-09T17:15:38Z","snapshot_observed_at":"2026-07-06T12:08:35.761426Z","submitted_at":"2021-11-09T17:15:38Z","title":"FILIP: Fine-grained Interactive Language-Image Pre-Training","version":1},"cited_work":{"arxiv_id":"2111.07783","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.07783","snapshot_observed_at":"2026-07-11T03:07:53.330969Z","title":"Filip: Fine-grained interactive language-image pre-training","venue":"cs.CV","work_id":"ed22ea81-4b1d-4b6e-96fc-aa013a968e9a","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"cited_paper":"/paper/2111.07783","citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:e90cfd9b194b9d85d29c9538fd19b999bace799bf36b9fa3a02829d0452fe1f3","observation_id":"7172ae34-e34a-4300-b63a-66b73dd6694c","resolution":{"observed_at":"2026-07-11T03:07:53.355970Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.082892Z","title":"Medical image analysis 12(5), 603–615 (2008)","venue":null,"work_id":"aad730ce-284a-48f8-8418-46ed835d4160","year":2008},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:718cfea5cbcdc7a90957c482efa305e342659d5c0f480a5ab0a7e67f512b37f7","observation_id":"7ed2e463-7081-4c65-b05b-40ad88689a17","resolution":{"observed_at":"2026-07-11T03:07:58.143683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.177205Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"d53bc2d5-aaf6-41f4-8a3a-5d635716baec","year":2022},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:cafeb808394930dbdf07e9e0bbc865f9a2579c66e8b644e4375a2e99237a36fc","observation_id":"5d0c2e0a-57f9-4152-9957-d3430e99a954","resolution":{"observed_at":"2026-07-11T03:07:58.203453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.010780Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)","venue":null,"work_id":"20f4e272-1b41-416c-8dff-2231a645d425","year":2024},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:c289de48c45b66f751020b3e20295c1ef549a7c86f0ceb907aca05012de216e0","observation_id":"7fbd8e44-3e30-40db-859f-4e7e5af7ea59","resolution":{"observed_at":"2026-07-11T03:07:58.043770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:57.975896Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"e8868101-8c83-43a6-a176-c8cdefadc2e5","year":2023},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:504747c0c7830c5efe580c49cac4a5a654d56194c7a55019306b7b42c9b878ad","observation_id":"19a00e8b-e234-4280-b2cf-53c9b8cbf980","resolution":{"observed_at":"2026-07-11T03:07:58.006849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2688.2022","doi":"10.1109/cvpr52688.2022","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A ConvNet for the 2020s","venue":null,"work_id":"0a23d1b7-bd56-43cc-8a80-7c43ce994e1e","year":2022},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:fea0116c3eed14aa6b072a01f97942b1d1aebf06bdfd63bc1a0d915de5799a9a","observation_id":"fde8bb12-13a8-42a8-b050-5cbfac8b2ed5","resolution":{"observed_at":"2026-07-11T03:07:53.291941Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:19:41.038772+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:19:41.038772+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.272082Z","title":"International Journal of Computer Vision130(9), 2337–2348 (2022)","venue":null,"work_id":"82c654eb-e282-47e0-893e-41fbcdbdc881","year":2022},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:e8fe83cd319e0d8a7c4bd1d2f3a996449577023f9cb6ffb5e453b97a23ebfb5f","observation_id":"9baf969a-ae4f-4af8-8d31-0b3082ff0d58","resolution":{"observed_at":"2026-07-11T03:07:58.300555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.207621Z","title":"Pattern Recognition p","venue":null,"work_id":"e4707a86-3d63-4769-b918-700ebbef3274","year":2025},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:36f91b4323f66794aad17dd5dc911ab607a345549c2f510ff9c492c3ae8ac6f2","observation_id":"5c65b9be-9265-496c-b6b2-3ba67669dda8","resolution":{"observed_at":"2026-07-11T03:07:58.233790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:59.028807Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"388b704f-237e-4ced-b04f-0efc7425de71","year":2023},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:64f4bd3ec6cf39ab1757a462c02d5b92d9775c33356834c3ded132377c6142b0","observation_id":"8f89621d-8aed-4503-aee2-a169d21895a8","resolution":{"observed_at":"2026-07-11T03:07:59.056509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T03:07:58.776389Z","title":null,"venue":null,"work_id":"5d3cc8a2-3739-4a28-89e4-ea853be0fbdc","year":2021},"citing_paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-11T02:59:38.193627Z"},"links":{"citing_paper":"/paper/2607.05727"},"observation_digest":"sha256:5b6485429f4d301766a5953e61dd8380bc5d92fe34406cb781d458255017cde7","observation_id":"d9484879-92ea-4ba3-84a4-fa269fc0487a","resolution":{"observed_at":"2026-07-11T03:07:58.800695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05727","last_updated":"2026-07-07T01:21:33Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T07:38:06.721210Z","submitted_at":"2026-07-07T01:21:33Z","title":"SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":2,"metadata_mismatch":8,"parse_uncertain":0,"unresolved":3,"verified_exact":2,"verified_fuzzy":36},"total_outbound_references":51},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.05727."}