Paper Citation Record · LEDGER

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2501.11485.

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

pith.paper-citation-record.v1
2501.11485 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:17:23.898455Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:05:25.766053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:31:13.055909Z

Reference resolution

50 of 50 outbound references displayed

verified exact1
verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f1b1d38-284d-4901-a8d4-4cf711837775 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 1

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Observation e6dfa439-f2f1-43ee-97e1-c2eb2d0d3132 · outbound

This paper cites Predictive sample as- signment for semantically coherent out-of-distribution detection,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Predictive sample as- signment for semantically coherent out-of-distribution detection,

Reference 2

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Observation 770b1a8f-205f-449f-8e51-91f13cada7d2 · outbound

This paper cites Openmix+: Revisiting data augmentation for open set recognition,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Openmix+: Revisiting data augmentation for open set recognition,

Reference 3

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Observation 4a4a7d16-3b8d-4717-b635-8439fe30f3a8 · outbound

This paper cites Pretrained Transformers Improve Out-of-Distribution Robustness.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Pretrained Transformers Improve Out-of-Distribution Robustness

Reference 4

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Observation 9c2208ca-60a3-4169-a1a6-d0d1389e5d2e · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,

Reference 5

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Observation cadb23e3-e506-44bd-86e2-83c05e1b87a2 · outbound

This paper cites Towards textual out-of-domain detection without in-domain labels,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Towards textual out-of-domain detection without in-domain labels,

Reference 6

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Observation 73bf885f-c699-41ec-8f16-bb9244c5887b · outbound

This paper cites Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU

Reference 7

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Observation 5fb0cff2-00e3-42b9-80a3-ce960b954a1c · outbound

This paper cites Unsupervised Out-of-Domain Detection via Pre-trained Transformers.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Unsupervised Out-of-Domain Detection via Pre-trained Transformers

Reference 8

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Observation daf6053c-26ca-480a-8d25-1c3b68ff1dc6 · outbound

This paper cites Classifier-head informed feature masking and prototype-based logit smoothing for out- of-distribution detection,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Classifier-head informed feature masking and prototype-based logit smoothing for out- of-distribution detection,

Reference 9

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Observation 41cc3c80-c836-454a-bf62-e0ee6fa8896d · outbound

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

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Vim: Out-of-distribution with virtual-logit matching,

Reference 10

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Observation 6905670b-94c9-4a8c-b903-1db9da3b6fe8 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Learning transferable visual models from natural language supervi- sion,

Reference 11

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Observation 3d84c8f4-a081-401c-9e24-cb89c6f8c119 · outbound

This paper cites Zero-shot out-of- distribution detection based on the pre-trained model clip,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Zero-shot out-of- distribution detection based on the pre-trained model clip,

Reference 12

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Observation a19d4387-2ee8-4015-a134-da8c4400f73f · outbound

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

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Delving into out-of- distribution detection with vision-language representations,

Reference 13

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Observation 7d2f0d0b-8e07-4758-ada5-c9fbf449a344 · outbound

This paper cites Exploring large language models for multi-modal out-of-distribution detection,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Exploring large language models for multi-modal out-of-distribution detection,

Reference 14

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Observation 45db170a-a435-4bef-ac91-81cb73c28512 · outbound

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

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Clipn for zero-shot ood detection: Teaching clip to say no,

Reference 15

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Observation 121aad92-eaff-49d6-8342-276337f80252 · outbound

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

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Nega- tive label guided ood detection with pretrained vision-language models,

Reference 16

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Observation 7fed647a-ad27-4434-913c-f9b6b33aa027 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Imagenet: A large-scale hierarchical image database,

Reference 17

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Observation 228a7d68-9bf6-4b08-b4e2-f89e7973c667 · outbound

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

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models The inaturalist species classification and detection dataset,

Reference 18

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Observation 996a8cbb-60a0-43d9-9045-d8f77d9958fa · outbound

This paper cites Enhancing the reliability of out-of- distribution image detection in neural networks,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Enhancing the reliability of out-of- distribution image detection in neural networks,

Reference 19

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Observation 4a36ebc0-bacf-47f9-9bd4-3bc80875bf9a · outbound

This paper cites Scaling out-of-distribution detection for real-world settings,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Scaling out-of-distribution detection for real-world settings,

Reference 20

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Observation 44c4459d-b95b-48be-9151-ffd125a0a49b · outbound

This paper cites Energy-based out-of- distribution detection,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Energy-based out-of- distribution detection,

Reference 21

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Observation 231e8cac-0979-4150-93b8-26388b46dc61 · outbound

This paper cites React: Out-of-distribution detection with rectified activations,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models React: Out-of-distribution detection with rectified activations,

Reference 22

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Observation 67bbb1c2-87d2-45a3-b96b-7f5bef6185ce · outbound

This paper cites Dice: Leveraging sparsification for out-of-distribution detection,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Dice: Leveraging sparsification for out-of-distribution detection,

Reference 23

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Observation 69d33a36-7bbd-4629-be54-d14e6dead281 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models A simple unified framework for detecting out-of-distribution samples and adversarial attacks,

Reference 24

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Observation c6ab79ed-ea99-4cf8-978f-7da7e089071f · outbound

This paper cites Out-of-distribution detection with deep nearest neighbors,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Out-of-distribution detection with deep nearest neighbors,

Reference 25

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Observation c2625774-3644-4244-8d58-3329c754056f · outbound

This paper cites Exploring the limits of out- of-distribution detection,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Exploring the limits of out- of-distribution detection,

Reference 26

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Observation 29480df1-0b8e-4ecf-be85-17566281a56e · outbound

This paper cites Non-parametric outlier synthesis,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Non-parametric outlier synthesis,

Reference 27

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Observation 05de6340-5970-48c7-a009-a27559d1fdf5 · outbound

This paper cites Improving zero-shot generalization and robustness of multi-modal models,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Improving zero-shot generalization and robustness of multi-modal models,

Reference 28

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Observation 1d22f92a-82fc-40a4-8f19-f0a8f945016b · outbound

This paper cites Are we done with ImageNet?.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Are we done with ImageNet?

Reference 29

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This paper cites Self-consistency improves chain of thought reasoning in language models,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Self-consistency improves chain of thought reasoning in language models,

Reference 30

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Observation 65bfd4df-f234-4ccc-a120-f671f1e905bb · outbound

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SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Chils: Zero-shot image classification with hierarchical label sets,

Reference 31

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Observation eb087cd2-0ea3-4bb0-8357-dbf17cfa86a4 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Imagenet classification with deep convolutional neural networks,

Reference 32

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This paper cites Do convolutional neural networks learn class hierarchy?,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Do convolutional neural networks learn class hierarchy?,

Reference 33

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Observation 02125e2e-2e67-4f3a-a153-b4671016fa9e · outbound

This paper cites Hiernet: Image recognition with hierarchical convolutional networks.,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Hiernet: Image recognition with hierarchical convolutional networks.,

Reference 34

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SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Language models are few-shot learners,

Reference 35

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This paper cites Zero-shot in-distribution detection in multi-object settings using vision-language foundation mod- els,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Zero-shot in-distribution detection in multi-object settings using vision-language foundation mod- els,

Reference 36

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This paper cites Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation

Reference 37

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Observation ec002b18-edb5-4af7-9db4-84b56b0c8708 · outbound

This paper cites On the importance of gradients for detecting distributional shifts in the wild,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models On the importance of gradients for detecting distributional shifts in the wild,

Reference 38

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Observation 64b80fa5-6e68-40aa-afbe-d68c71ac0b3f · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo,

Reference 39

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Observation 684bf2e2-3b23-47a2-bb2c-62109b16cca1 · outbound

This paper cites Places: An image database for deep scene understanding,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Places: An image database for deep scene understanding,

Reference 40

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Observation 3a1dbbf6-f492-4dc7-901d-d557f4e3f400 · outbound

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SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Describing textures in the wild,

Reference 41

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This paper cites Attention is all you need,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Attention is all you need,

Reference 42

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SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Gpt-4 technical report,

Reference 43

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SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Caltech-ucsd birds 200,

Reference 44

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This paper cites Food-101 – mining dis- criminative components with random forests,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Food-101 – mining dis- criminative components with random forests,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:17:24.047735Z

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Observation 3130d3c2-e611-4a7c-8b4f-85a1ca210178 · outbound

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SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Cats and dogs,

Reference 46

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SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models 3d object representations for fine-grained categorization,

Reference 47

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Observation d27c9f70-0f30-4cb4-8582-a4f3e686bb7b · outbound

This paper cites AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

Reference 48

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This paper cites Groupvit: Semantic segmentation emerges from text supervision,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Groupvit: Semantic segmentation emerges from text supervision,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:17:24.014613Z

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Observation c0224b0e-e81f-4602-a439-9b44073d0d06 · outbound

This paper cites Do imagenet classifiers generalize to imagenet?,.

SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Do imagenet classifiers generalize to imagenet?,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:17:24.004051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 08f84d62-6edd-4ba1-8592-fa2ee9e80c1e · inbound

High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models cites this paper.

High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:31:13.083468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b0d5408-4832-4d66-ad5c-608a7e1a9d41 · inbound

High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models cites this paper.

High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T14:05:25.766053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.