Paper Citation Record · LEDGER

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2501.18463.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.18463 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:29:14.837171Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T22:26:05.211335Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T22:30:44.103065Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy29
unresolved4
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1cd72b5e-becd-4f2a-939a-b89fd2b9898e · outbound

This paper cites Concrete Problems in AI Safety.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Concrete Problems in AI Safety

Reference 1

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Source-reported events for the cited work

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Observation 49464815-d0e7-4175-a72a-6663abcec79e · outbound

This paper cites Taxonomy of machine learning safety: A survey and primer,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Taxonomy of machine learning safety: A survey and primer,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.182766Z

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Observation 4cd59fa0-5cb0-4b64-9b42-2763f3448add · outbound

This paper cites Generalized out-of-distribution detection: A survey,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Generalized out-of-distribution detection: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.172677Z

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Observation 4d90de0e-add2-4825-9e40-9b12baf56615 · outbound

This paper cites Learning transferable visual models from nat- ural language supervision,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Learning transferable visual models from nat- ural language supervision,

Reference 4

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Observation 476ad5c2-ed75-4985-8786-5566cab10f18 · outbound

This paper cites Delving into out-of-distribution detection with vision-language representations,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Delving into out-of-distribution detection with vision-language representations,

Reference 5

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Observation c6b7eeef-7699-46c6-a91e-1e5bcc6fbef3 · outbound

This paper cites Lo- coop: Few-shot out-of-distribution detection via prompt learn- ing,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Lo- coop: Few-shot out-of-distribution detection via prompt learn- ing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.148663Z

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Observation 13879d8a-f4b6-4d53-9b90-b1653c6b0b0f · outbound

This paper cites Imagenet large scale visual recognition challenge,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Imagenet large scale visual recognition challenge,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.139433Z

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Observation da911c22-3ac0-47e3-a0aa-90ddaeeb3235 · outbound

This paper cites The inaturalist species classification and detection dataset,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models The inaturalist species classification and detection dataset,

Reference 8

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Observation aeb66330-1e49-4266-a3b0-f8f02c425c1c · outbound

This paper cites Describing textures in the wild,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Describing textures in the wild,

Reference 9

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Observation 47cfedc5-e4bc-4dcd-a0de-60f812bafb06 · outbound

This paper cites Gl- mcm: Global and local maximum concept matching for zero- shot out-of-distribution detection,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Gl- mcm: Global and local maximum concept matching for zero- shot out-of-distribution detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.111245Z

Source-reported events for the cited work

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Observation 543c5a63-ce3e-48fa-b778-bb38727b4570 · outbound

This paper cites Negative label guided ood detection with pretrained vision-language models,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Negative label guided ood detection with pretrained vision-language models,

Reference 11

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Observation 003dcc3d-3839-4071-85e2-6c375908c754 · outbound

This paper cites Envisioning outlier exposure by large language models for out-of-distribution detection,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Envisioning outlier exposure by large language models for out-of-distribution detection,

Reference 12

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Source-reported events for the cited work

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Observation 90a25759-be80-48bf-843e-27a28be11e84 · outbound

This paper cites Clipn for zero-shot ood detection: Teaching clip to say no,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Clipn for zero-shot ood detection: Teaching clip to say no,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.082272Z

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Observation 4827c547-39b5-4e4c-9c03-589c722d7c05 · outbound

This paper cites Learning transferable negative prompts for out-of- distribution detection,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Learning transferable negative prompts for out-of- distribution detection,

Reference 14

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Observation 5061d51b-fecc-421e-816d-b3d462543984 · outbound

This paper cites Id-like prompt learning for few- shot out-of-distribution detection,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Id-like prompt learning for few- shot out-of-distribution detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.063758Z

Source-reported events for the cited work

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Observation e3b21cb1-46a5-45d4-a6f0-321057fda501 · outbound

This paper cites Full-spectrum out-of-distribution detection,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Full-spectrum out-of-distribution detection,

Reference 16

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Source-reported events for the cited work

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Observation d6ec3767-4350-44c8-9b22-ecb8de9519d2 · outbound

This paper cites WILDS: A benchmark of in-the-wild distribution shifts,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models WILDS: A benchmark of in-the-wild distribution shifts,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.045084Z

Source-reported events for the cited work

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Observation 36830c9b-226f-4d0f-829c-e775f39c4c59 · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural net- works,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models A baseline for detecting misclassified and out-of-distribution examples in neural net- works,

Reference 18

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Observation 007c11a6-7aa7-4e5c-b064-aaec57e4876d · outbound

This paper cites Mos: Towards scaling out-of- distribution detection for large semantic space,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Mos: Towards scaling out-of- distribution detection for large semantic space,

Reference 19

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Observation 69b4aada-d39c-48c9-8404-026d6f57bedb · outbound

This paper cites Open-set recog- nition: A good closed-set classifier is all you need?,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Open-set recog- nition: A good closed-set classifier is all you need?,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:15.016150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b448185-62f7-4d8b-81cc-b1b61438b4a1 · outbound

This paper cites In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation

Reference 21

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Observation cb02712f-ddeb-40b4-af20-542303c9d6ad · outbound

This paper cites Openood v1. 5: Enhanced bench- mark for out-of-distribution detection,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Openood v1. 5: Enhanced bench- mark for out-of-distribution detection,

Reference 22

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Observation a73bdbba-3cf7-42c7-b68b-11854c576ffe · outbound

This paper cites Imagenet-ood: Deciphering modern out-of-distribution detec- tion algorithms,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Imagenet-ood: Deciphering modern out-of-distribution detec- tion algorithms,

Reference 23

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Observation c9a21a86-89d5-498f-aaf4-351560bf70bf · outbound

This paper cites Large-scale open-set classification protocols for imagenet,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Large-scale open-set classification protocols for imagenet,

Reference 24

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Observation 9d61f8c0-232c-4f49-ab9c-9b48352e26bf · outbound

This paper cites Wordnet: An electronic lexical database.,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Wordnet: An electronic lexical database.,

Reference 25

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Source-reported events for the cited work

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Observation 3260d7f4-2bcd-4d75-925d-ce2a0f9024ab · outbound

This paper cites Do imagenet classifiers generalize to ima- genet?,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Do imagenet classifiers generalize to ima- genet?,

Reference 26

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Observation bc586881-5e98-4a15-ae34-412cab30f07e · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:14.955843Z

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Observation 900a3128-d1d3-4f1d-a120-3b07dc19927f · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Benchmarking neural network robustness to common corruptions and perturbations,

Reference 28

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Observation 1f9411dd-e1b0-42bb-9a3e-13a71ce10069 · outbound

This paper cites Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox

Reference 29

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Observation 9dd724dc-0e42-46c7-862b-9bef8b3bda24 · outbound

This paper cites Leveraging visual attention for out-of-distribution detection,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Leveraging visual attention for out-of-distribution detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:14.935357Z

Source-reported events for the cited work

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Observation 2781601b-afc1-42cd-ba74-0973449dbe8f · outbound

This paper cites Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

Reference 31

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Observation a0153ff7-1b0e-41b2-8704-884b5594550c · outbound

This paper cites Learning to prompt for vision-language models,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Learning to prompt for vision-language models,

Reference 32

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Observation 9ac815f2-9e76-421d-a777-81f5707b6596 · outbound

This paper cites Vim: Out-of-distribution with virtual-logit matching,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Vim: Out-of-distribution with virtual-logit matching,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:14.915577Z

Source-reported events for the cited work

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Observation f014b316-bf57-4ae9-963c-81e897248f01 · outbound

This paper cites Clipood: Generalizing clip to out-of-distributions,.

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models Clipood: Generalizing clip to out-of-distributions,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:29:14.906019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation e7e09709-2fef-4c7f-bb24-355d46c8d2d3 · inbound

Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy cites this paper.

Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:56:26.514749Z

Source-reported events for the cited work

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Observation abec859e-875f-4d3b-8c82-b988a6178498 · inbound

Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy cites this paper.

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.