{"as_of":"2026-08-09T05:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b61b79ca332d5e0c9f354248d00c967e6a57e6e9e299c10f8bfc0a9fcd0dd9e7","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T10:14:10.307885Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2510.11296/citation-record","integrity":"/paper/2510.11296/integrity","json":"/paper/2510.11296/citation-record.json","paper":"/paper/2510.11296"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:14:09.726764Z","title":"In the table, OOD detection is measured by AUROC and FPR95 over 6 hard OOD detection datasets","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:09.726764Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:40b7d7566b003a234089110ada0e2a0811b235e29aedae295f920eb5b2acea48","observation_id":"dce7ccf4-1391-44a2-8903-bd5fd4120f06","resolution":{"observed_at":"2026-08-04T10:14:09.726764Z","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":"2026-08-04T10:14:10.157726Z","title":"Therefore, unless otherwise specified, we set c= 2 in ∆Energyfor all experiments","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:10.157726Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:4cc2dcfb31607b1b8e69661f15fec7e8e5e4491ccdf330a32afc5aeafa43a76a","observation_id":"a677f967-e728-40b8-bbff-ef4408194076","resolution":{"observed_at":"2026-08-04T10:14:10.157726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08611","last_updated":"2024-10-11T08:24:11Z","snapshot_observed_at":"2026-07-06T19:31:40.352383Z","submitted_at":"2024-10-11T08:24:11Z","title":"Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.08611","snapshot_observed_at":"2026-08-04T10:14:07.082709Z","title":"Conjugated semantic pool improves ood detection with pre-trained vision-language models.arXiv preprint arXiv:2410.08611,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.082709Z"},"links":{"cited_paper":"/paper/2410.08611","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:d687638587a22a50053716f18e4dfefda7f6735c6bc3ff6747dddb37b5122b8d","observation_id":"0a7a8464-fdb8-4412-a8de-2dfd113088ed","resolution":{"observed_at":"2026-08-04T10:14:07.082709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02136","last_updated":"2018-10-03T07:32:57Z","snapshot_observed_at":"2026-08-02T06:41:33.803920Z","submitted_at":"2016-10-07T04:06:01Z","title":"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02136","snapshot_observed_at":"2026-08-04T10:14:07.307150Z","title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks.arXiv preprint arXiv:1610.02136,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.307150Z"},"links":{"cited_paper":"/paper/1610.02136","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:5e8521adf0f4ffe11262d5e1363c2d1581ac120e94c710fb89cddc27f2b9bff9","observation_id":"4d3dbc82-218d-4ef4-bec8-049a794ffa4d","resolution":{"observed_at":"2026-08-04T10:14:07.307150Z","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":"2026-08-04T10:14:10.307885Z","title":"A detailed comparison of computation cost is provided in Table","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:10.307885Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:65ef839f11db53f443691187ac28fc8fbfce59b1f2f814b168f53d74c15ac6a9","observation_id":"a5e94870-c161-4887-9745-c6b55c482eb6","resolution":{"observed_at":"2026-08-04T10:14:10.307885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.20078","last_updated":"2024-03-29T09:19:52Z","snapshot_observed_at":"2026-08-05T22:28:05.334165Z","submitted_at":"2024-03-29T09:19:52Z","title":"Negative Label Guided OOD Detection with Pretrained Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.20078","snapshot_observed_at":"2026-08-04T10:14:07.687960Z","title":"Negative label guided ood detection with pretrained vision-language models.arXiv preprint arXiv:2403.20078,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.687960Z"},"links":{"cited_paper":"/paper/2403.20078","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:b66ca7044962dfe4373171adc975922dba7959a33c3ac88b6988ac9c14b91206","observation_id":"2ca2bd87-a279-4835-8cf3-b9efcaaf5368","resolution":{"observed_at":"2026-08-04T10:14:07.687960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07421","last_updated":"2021-07-16T17:58:22Z","snapshot_observed_at":"2026-07-06T10:24:09.094124Z","submitted_at":"2020-12-14T11:14:56Z","title":"WILDS: A Benchmark of in-the-Wild Distribution Shifts","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07421","snapshot_observed_at":"2026-08-04T10:14:07.730645Z","title":"Maple: Multi-modal prompt learning","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.730645Z"},"links":{"cited_paper":"/paper/2012.07421","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:6ecc6ff8d724e54c5afab3a769907590b17358b0d117e08b19f7a0895c05890e","observation_id":"02038908-1154-49e4-b7e6-6691de5f1393","resolution":{"observed_at":"2026-08-04T10:14:07.730645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02448","last_updated":"2025-05-05T08:22:38Z","snapshot_observed_at":"2026-08-07T15:56:26.495810Z","submitted_at":"2025-05-05T08:22:38Z","title":"Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02448","snapshot_observed_at":"2026-08-04T10:14:07.784331Z","title":"Recent advances in out-of- distribution detection with clip-like models: A survey.arXiv preprint arXiv:2505.02448,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.784331Z"},"links":{"cited_paper":"/paper/2505.02448","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:31dcced3dc25c46e1cc9aba72069dc47b5784e99b792678492b9c94b17360051","observation_id":"e7fa1ec4-c1b4-45dc-a1e2-6c75f4e7f925","resolution":{"observed_at":"2026-08-04T10:14:07.784331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04521","last_updated":"2025-01-21T17:01:33Z","snapshot_observed_at":"2026-07-06T15:13:59.016993Z","submitted_at":"2023-04-10T11:35:42Z","title":"GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04521","snapshot_observed_at":"2026-08-04T10:14:07.889059Z","title":"Delving into out-of- distribution detection with vision-language representations.Advances in neural information processing systems, 35:35087–35102, 2022a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.889059Z"},"links":{"cited_paper":"/paper/2304.04521","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:5d2d7b80ef3f0c912e0ea50eb074d635a1d97e8db30206d188f6bac73bb9619f","observation_id":"94b96db3-bdf8-4049-aa8a-80ce1169d49c","resolution":{"observed_at":"2026-08-04T10:14:07.889059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21794","last_updated":"2025-06-18T17:03:35Z","snapshot_observed_at":"2026-08-02T18:39:18.788406Z","submitted_at":"2024-07-31T17:59:58Z","title":"Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21794","snapshot_observed_at":"2026-08-04T10:14:07.951983Z","title":"Generalized out-of-distribution detection and beyond in vision language model era: A survey.arXiv preprint arXiv:2407.21794, 2024a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.951983Z"},"links":{"cited_paper":"/paper/2407.21794","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:b1a2c41587a799c553e93e88a8b6b39bdf3a4874e02f222cc7feb2cbdfdf0606","observation_id":"eef0db65-0c3f-42a9-ab27-2b3934d618fa","resolution":{"observed_at":"2026-08-04T10:14:07.951983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.04729","last_updated":"2019-08-20T17:46:05Z","snapshot_observed_at":"2026-08-09T02:23:05.461123Z","submitted_at":"2018-09-13T01:15:49Z","title":"A Less Biased Evaluation of Out-of-distribution Sample Detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.04729","snapshot_observed_at":"2026-08-04T10:14:08.095834Z","title":"A less biased evaluation of out-of-distribution sample detectors.arXiv preprint arXiv:1809.04729,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.095834Z"},"links":{"cited_paper":"/paper/1809.04729","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:cbb121a87e94261592a7d8c4cc3e1fec411abb790a5c619a7e6c00ba8dd77c54","observation_id":"d5002f76-30bb-4d56-ae32-266281b9b7fa","resolution":{"observed_at":"2026-08-04T10:14:08.095834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.10209","last_updated":"2023-09-18T23:48:22Z","snapshot_observed_at":"2026-07-06T16:20:17.310644Z","submitted_at":"2023-09-18T23:48:22Z","title":"Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.10209","snapshot_observed_at":"2026-08-04T10:14:08.221318Z","title":"Clipn for zero-shot ood detection: Teaching clip to say no","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.221318Z"},"links":{"cited_paper":"/paper/2309.10209","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:784b15a4b47fe6ff59e02ab47496ffab3bfe7bd4268116d539c25cd2582ac110","observation_id":"b23c9749-d1c5-42db-8875-5ac111532658","resolution":{"observed_at":"2026-08-04T10:14:08.221318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.03721","last_updated":"2022-03-30T10:54:28Z","snapshot_observed_at":"2026-07-06T11:16:46.852207Z","submitted_at":"2021-06-07T15:34:36Z","title":"OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.03721","snapshot_observed_at":"2026-08-04T10:14:08.311460Z","title":"Ood-bench: Benchmarking and understanding out-of-distribution generalization datasets and algorithms.CoRR, abs/2106.03721,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.311460Z"},"links":{"cited_paper":"/paper/2106.03721","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:712b45a6df8eedb43cac6926b43c195f167bf0e2db1241ffa959ee1018bc2517","observation_id":"7e7f0e92-9215-4812-b51c-5b824a40f43f","resolution":{"observed_at":"2026-08-04T10:14:08.311460Z","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":"2026-08-04T10:14:08.395737Z","title":"Hybrid models for open set recognition","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.395737Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:7155f069189f1ffed3b3168deb4b8c5260f9a0c220e46e1a2a1aed1dcb650b98","observation_id":"0be8be5c-7ceb-43fa-a8a2-2e51c1544ed8","resolution":{"observed_at":"2026-08-04T10:14:08.395737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.01134","last_updated":"2022-10-06T11:36:09Z","snapshot_observed_at":"2026-08-05T03:04:47.411987Z","submitted_at":"2021-09-02T17:57:31Z","title":"Learning to Prompt for Vision-Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.01134","snapshot_observed_at":"2026-08-04T10:14:08.549417Z","title":"Learning to prompt for vision- language models.arXiv preprint arXiv:2109.01134,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.549417Z"},"links":{"cited_paper":"/paper/2109.01134","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:33e430b33a14ec4ea40aa51ad0bde77bae0bea6b5b3d246cd87f9354152c8090","observation_id":"52bc2d64-fc76-4e3f-8c65-74ef080be272","resolution":{"observed_at":"2026-08-04T10:14:08.549417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00345","last_updated":"2024-06-01T07:46:42Z","snapshot_observed_at":"2026-08-05T11:51:32.973313Z","submitted_at":"2024-06-01T07:46:42Z","title":"DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00345","snapshot_observed_at":"2026-08-04T10:14:08.624402Z","title":"Decoop: Robust prompt tuning with out-of-distribution detection.arXiv preprint arXiv:2406.00345,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.624402Z"},"links":{"cited_paper":"/paper/2406.00345","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:cab43647cf8c338d691774b381a6a8ffc838028b6ee00801e8fd7c26a4c6a2a9","observation_id":"60966d17-47d5-4990-a9c3-5ce38a50c4e4","resolution":{"observed_at":"2026-08-04T10:14:08.624402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16417","last_updated":"2026-05-26T08:40:06Z","snapshot_observed_at":"2026-07-06T18:20:01.382394Z","submitted_at":"2024-05-26T03:28:59Z","title":"CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16417","snapshot_observed_at":"2026-08-04T10:14:08.702242Z","title":"Minigpt-4: Enhancing vision-language understanding with advanced large language models, 2023a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.702242Z"},"links":{"cited_paper":"/paper/2405.16417","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:63383936747e4968cca475592af4531a981bcf86c2d7e41125c906ac7da1f7e3","observation_id":"ecc44c07-6bc6-429a-b1dd-c0c57aacc616","resolution":{"observed_at":"2026-08-04T10:14:08.702242Z","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":"2026-08-04T10:14:08.796688Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.796688Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:53078054c72b05da351074ce5989e6ce45bfb2c4a9413c2248187e4083eb0661","observation_id":"0fbd8d30-45c4-4409-8b10-d8fca690a442","resolution":{"observed_at":"2026-08-04T10:14:08.796688Z","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":"2026-08-04T10:14:08.933198Z","title":"Prompt tuning methods aim to get better vision-language alignment via only fine-tuning the input prompts","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.933198Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:28fa0539cddd3f43095caf0cbf46e6d84225774029857437117d44c39c8023bb","observation_id":"5e2bb1ad-62ae-477b-aebc-ec757d1425d9","resolution":{"observed_at":"2026-08-04T10:14:08.933198Z","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":"2026-08-04T10:14:09.154741Z","title":"Adapter-tuning is another popular lightweight fine-tuning method, like CLIP-Adapter (Gao et al., 2023), Tip-Adapter (Zhang et al., 2021a)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:09.154741Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:df4b1a9f553554d116bd24f845aa4f0a97f3356c684a20abb87b022e67dd77b4","observation_id":"cda78688-33e4-4a45-96d2-0a1e306cc228","resolution":{"observed_at":"2026-08-04T10:14:09.154741Z","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":"2026-08-04T10:14:09.264747Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:09.264747Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:11fc90e1641984bd9daeca41f3a2a068c0c081cd88a89f8b2c6baa58cb8b7818","observation_id":"1731a6c8-3859-44ab-a1b7-dcc558bd6663","resolution":{"observed_at":"2026-08-04T10:14:09.264747Z","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":"2026-08-04T10:14:09.412477Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:09.412477Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:ba6d5f1a55eb00fcdac8cbd78a778a19efb0ba53af534ce8c086b028b1cd8ec4","observation_id":"bb8c17fc-5577-47ef-84f4-82297ed848ab","resolution":{"observed_at":"2026-08-04T10:14:09.412477Z","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":"2026-08-04T10:14:09.600422Z","title":"1 + es ˆy1 (x′)/τ −e ˜sˆy1 (x′)/τ P i̸=ˆy1 esi(x′)/τ +e ˜sˆy1 (x′)/τ # = log","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:09.600422Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:bf8ee6a35a8b9f5181e37af8a229130207a459092ef8ef1875346f4f1ae3539c","observation_id":"81b950a0-a453-4256-a17b-dfe31edd493e","resolution":{"observed_at":"2026-08-04T10:14:09.600422Z","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":"2026-08-04T10:14:09.838318Z","title":"end”, and set the class-specific context (CSC) as “False","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:09.838318Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:b47b6fa6f1a533e4a99e05369fe50e52bd16eea5818a55141f7324e943404beb","observation_id":"4c4d6d2c-54ff-45e3-a870-6f06d6af21bf","resolution":{"observed_at":"2026-08-04T10:14:09.838318Z","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":"2026-08-04T10:14:09.986009Z","title":"This difference offers a novel approach to distinguishing between closed-set and open-set classes","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:09.986009Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:e7004cc0ed2db8cace0ac5f5d04ac862a8479adef28fd5bcc0fd51cabec5a0c9","observation_id":"19aea44e-4321-47ba-8ca1-53ac27054501","resolution":{"observed_at":"2026-08-04T10:14:09.986009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01197","last_updated":"2022-05-09T20:12:32Z","snapshot_observed_at":"2026-08-05T13:42:39.716639Z","submitted_at":"2022-02-02T18:43:01Z","title":"VOS: Learning What You Don't Know by Virtual Outlier Synthesis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01197","snapshot_observed_at":"2026-08-04T10:14:07.210715Z","title":"Siren: Shaping representations for detecting out-of-distribution objects.Advances in Neural Information Processing Systems, 35:20434–20449, 2022a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.210715Z"},"links":{"cited_paper":"/paper/2202.01197","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:befb6341d34c4bc237d6882a3948d4115ce6433a7ce6869b3ad7056f0e60c2ea","observation_id":"e778d306-6290-41ef-8bda-cbd636aaf79c","resolution":{"observed_at":"2026-08-04T10:14:07.210715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.11132","last_updated":"2022-05-15T16:44:03Z","snapshot_observed_at":"2026-07-31T15:34:20.579795Z","submitted_at":"2019-11-25T18:58:23Z","title":"Scaling Out-of-Distribution Detection for Real-World Settings","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.11132","snapshot_observed_at":"2026-08-04T10:14:07.449864Z","title":"Scaling out-of-distribution detection for real-world settings","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.449864Z"},"links":{"cited_paper":"/paper/1911.11132","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:0cccc89e4d869fb2eba597e48cd4e85933123028ce6700a47f35dcdaadd89f30","observation_id":"ab4a9dc4-da8b-4e39-85c9-ae000bed5a0c","resolution":{"observed_at":"2026-08-04T10:14:07.449864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02690","last_updated":"2020-08-30T16:50:36Z","snapshot_observed_at":"2026-08-05T05:04:04.733091Z","submitted_at":"2017-06-08T17:43:56Z","title":"Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02690","snapshot_observed_at":"2026-08-04T10:14:07.831307Z","title":"Learning transferable nega- tive prompts for out-of-distribution detection","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.831307Z"},"links":{"cited_paper":"/paper/1706.02690","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:aad1f4ff7c78a5cb7be04ae2d8e1557d3543f1cd05919aa2743723e9e4fda997","observation_id":"76a2116b-4281-464d-be05-67794481d6ba","resolution":{"observed_at":"2026-08-04T10:14:07.831307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.00020","last_updated":"2021-02-26T19:04:58Z","snapshot_observed_at":"2026-07-06T10:45:03.059688Z","submitted_at":"2021-02-26T19:04:58Z","title":"Learning Transferable Visual Models From Natural Language Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.00020","snapshot_observed_at":"2026-08-04T10:14:08.039188Z","title":"Learning transferable visual models from natural language supervision.CoRR, abs/2103.00020,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.039188Z"},"links":{"cited_paper":"/paper/2103.00020","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:08c6f3ad1ffcdde8a7256e8bda940a76f7321150313c76e466b4c1e603596164","observation_id":"0bbf38a9-d6bf-4ea4-aa38-03fa14131a5e","resolution":{"observed_at":"2026-08-04T10:14:08.039188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23698","last_updated":"2024-10-31T07:41:13Z","snapshot_observed_at":"2026-08-06T13:27:44.449020Z","submitted_at":"2024-10-31T07:41:13Z","title":"Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23698","snapshot_observed_at":"2026-08-04T10:14:07.548689Z","title":"The many faces of robustness: A critical analysis of out-of-distribution generalization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.548689Z"},"links":{"cited_paper":"/paper/2410.23698","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:2c485b4ff0dd34b7ef8539060c208a1b8beea4ace3bb00b914bb0a39a533947a","observation_id":"c0c51088-ba7e-44b0-b9e7-5a4a58d27fef","resolution":{"observed_at":"2026-08-04T10:14:07.548689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09301","last_updated":"2024-12-16T23:09:28Z","snapshot_observed_at":"2026-08-07T21:55:34.598099Z","submitted_at":"2023-06-15T17:28:00Z","title":"OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09301","snapshot_observed_at":"2026-08-04T10:14:08.499266Z","title":"Openood v1.5: Enhanced benchmark for out-of-distribution detection.arXiv preprint arXiv:2306.09301, 2023a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:08.499266Z"},"links":{"cited_paper":"/paper/2306.09301","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:1d397acbc6323656eb954818c5baadf7bf96ae3e26bf4c911a5df52732fd1066","observation_id":"9a6c06cb-98af-4f8d-a23d-cf9cd4de26ba","resolution":{"observed_at":"2026-08-04T10:14:08.499266Z","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":"2026-08-04T10:14:06.882639Z","title":"Food-101–mining discriminative compo- nents with random forests","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:06.882639Z"},"links":{"citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:29ec8ef647bf8f73c89ca4035b8a927053e96a4cd19e997a526c6045dfe5f2da","observation_id":"41cf2fe5-62d2-4f88-8e66-e43cd23e94cb","resolution":{"observed_at":"2026-08-04T10:14:06.882639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.09193","last_updated":"2024-03-12T09:22:32Z","snapshot_observed_at":"2026-08-05T04:36:32.543928Z","submitted_at":"2021-01-22T16:31:36Z","title":"Dense outlier detection and open-set recognition based on training with noisy negative images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.09193","snapshot_observed_at":"2026-08-04T10:14:06.832076Z","title":"Dense outlier detection and open-set recognition based on training with noisy negative images.arXiv preprint arXiv:2101.09193,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:06.832076Z"},"links":{"cited_paper":"/paper/2101.09193","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:6a5b44d80056cd7ff86e2f6a64cf201523f66a7f89aa58571315130130b8e80d","observation_id":"daa4322f-a7db-4148-8337-8b9e10d423ec","resolution":{"observed_at":"2026-08-04T10:14:06.832076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01434","last_updated":"2020-07-02T23:08:07Z","snapshot_observed_at":"2026-08-07T18:31:23.290877Z","submitted_at":"2020-07-02T23:08:07Z","title":"In Search of Lost Domain Generalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01434","snapshot_observed_at":"2026-08-04T10:14:07.244303Z","title":"In search of lost domain generalization.arXiv preprint arXiv:2007.01434,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.244303Z"},"links":{"cited_paper":"/paper/2007.01434","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:277ebff8e0187f8ddd3cc259231149e1610b99799395e96621337fe1782f8da6","observation_id":"60d3537a-4fa9-4213-bb0f-8560f9b92e7c","resolution":{"observed_at":"2026-08-04T10:14:07.244303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03649","last_updated":"2022-08-22T08:45:33Z","snapshot_observed_at":"2026-07-06T12:57:58.716731Z","submitted_at":"2022-04-07T17:59:57Z","title":"Unsupervised Prompt Learning for Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03649","snapshot_observed_at":"2026-08-04T10:14:07.605827Z","title":"Unsupervised prompt learning for vision-language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-04T10:14:07.605827Z"},"links":{"cited_paper":"/paper/2204.03649","citing_paper":"/paper/2510.11296"},"observation_digest":"sha256:f3962e319d8d054177b782fa2642a13803ef175477844570cf776813a6be514d","observation_id":"890f41c0-a26b-4de1-a016-5442a921a842","resolution":{"observed_at":"2026-08-04T10:14:07.605827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.11296","last_updated":"2026-05-25T01:51:58Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T16:32:41.485164Z","submitted_at":"2025-10-13T11:36:58Z","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":35},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2510.11296."}