Paper Citation Record · LEDGER

Conformal Predictions for Human Action Recognition with Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2502.06631.

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

pith.paper-citation-record.v1
2502.06631 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:57:12.636325Z

measured 33 of 33 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:57:12.479732Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T14:57:12.816902Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy24
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0696ad96-3d03-4398-baa9-416714377ac5 · outbound

This paper cites Conformal Predictions for Human Action Recognition with Vision-Language Models.

Conformal Predictions for Human Action Recognition with Vision-Language Models Conformal Predictions for Human Action Recognition with Vision-Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:57:12.824486Z

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Observation 14ddd180-af64-41a0-8915-b6c19d18bcd8 · outbound

This paper cites Conformal Predictions Providing reliable confidence estimates for predictions made by deep learning models is essential in many applications.

Conformal Predictions for Human Action Recognition with Vision-Language Models Conformal Predictions Providing reliable confidence estimates for predictions made by deep learning models is essential in many applications

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:13.269711Z

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Observation 937c3d2d-80a0-4e38-ba04-34cc503621e2 · outbound

This paper cites Experimental settings We conduct our experiments using three video clip datasets: HMDB51 (51 classes) [23], UCF101 (101 classes) [24] and Kinetics400 (400 classes) [20].

Conformal Predictions for Human Action Recognition with Vision-Language Models Experimental settings We conduct our experiments using three video clip datasets: HMDB51 (51 classes) [23], UCF101 (101 classes) [24] and Kinetics400 (400 classes) [20]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:13.253420Z

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Observation a4dc4bf8-b50e-4c10-974f-14b4c4860548 · outbound

This paper cites Red dots mark 1/τ∗, our estimate for minimizing tail size, while green dots indicate the true optimum 1/τopt when it differs.

Conformal Predictions for Human Action Recognition with Vision-Language Models Red dots mark 1/τ∗, our estimate for minimizing tail size, while green dots indicate the true optimum 1/τopt when it differs

Reference 4

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Observation d271ec38-87e0-4102-b171-7f46843b75e1 · outbound

This paper cites an unresolved cited work.

Conformal Predictions for Human Action Recognition with Vision-Language Models Unresolved cited work

Reference 5

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Observation 26d32a1e-c5df-4c3a-9808-2337a5e9288e · outbound

This paper cites Behavior recognition via sparse spatio-temporal features,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Behavior recognition via sparse spatio-temporal features,

Reference 6

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Observation e53a7350-a19a-46af-bf66-01c5b696be03 · outbound

This paper cites Fast user-guided video object segmen- tation by interaction-and-propagation networks,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Fast user-guided video object segmen- tation by interaction-and-propagation networks,

Reference 7

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Observation d623cd3e-30ec-4323-b602-6198080154fa · outbound

This paper cites Human-in-the-loop vehicle reid,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Human-in-the-loop vehicle reid,

Reference 8

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Observation db002e33-79c5-412c-be50-1a43bcc1e030 · outbound

This paper cites Surveillance video querying with a human-in-the-loop,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Surveillance video querying with a human-in-the-loop,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:13.157968Z

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Observation 2bf64a99-9bb0-400a-8ffc-ef1fb4a94a89 · outbound

This paper cites De- signing decision support systems using counterfactual prediction sets,.

Conformal Predictions for Human Action Recognition with Vision-Language Models De- signing decision support systems using counterfactual prediction sets,

Reference 10

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Source-reported events for the cited work

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Observation 983ee99c-06c2-4e4e-a30d-dc7291c60a6e · outbound

This paper cites Conformal prediction sets improve human de- cision making,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Conformal prediction sets improve human de- cision making,

Reference 11

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Observation b0c089b6-f903-40ce-836e-ad89ca43de0b · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Learning transferable visual models from natural lan- guage supervision,

Reference 12

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Observation e0520cae-d70e-437d-9a80-e678ddd82761 · outbound

This paper cites Temporal segment networks: Towards good practices for deep ac- tion recognition,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Temporal segment networks: Towards good practices for deep ac- tion recognition,

Reference 13

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Observation 40a9001d-cfa5-414b-892c-87b68362b7ef · outbound

This paper cites Slowfast networks for video recog- nition,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Slowfast networks for video recog- nition,

Reference 14

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Observation f5c9e6ea-c327-487b-b214-588895d3b2a0 · outbound

This paper cites Stm: Spatiotemporal and motion en- coding for action recognition,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Stm: Spatiotemporal and motion en- coding for action recognition,

Reference 15

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Observation 1c500f2c-4430-4e4f-8aa2-aea9dcb298ac · outbound

This paper cites Vivit: A video vision transformer,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Vivit: A video vision transformer,

Reference 16

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Observation db75da33-556d-40dd-8625-aa56000599e1 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

Conformal Predictions for Human Action Recognition with Vision-Language Models ActionCLIP: A New Paradigm for Video Action Recognition

Reference 17

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Observation 7f5472a1-8231-4ad2-ba2e-fc17ed0bcccf · outbound

This paper cites An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction,.

Conformal Predictions for Human Action Recognition with Vision-Language Models An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction,

Reference 18

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Observation b923805b-bfda-4892-b4ee-f3ecc20ef08e · outbound

This paper cites Are foundation models for computer vision good conformal predictors?,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Are foundation models for computer vision good conformal predictors?,

Reference 19

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Observation 1ed4e0fd-0643-484b-98cf-27143aa82821 · outbound

This paper cites On the rate of gain of information,.

Conformal Predictions for Human Action Recognition with Vision-Language Models On the rate of gain of information,

Reference 20

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Observation a24f7d33-6532-45e0-b602-fb6ae52e3661 · outbound

This paper cites Selection from alphabetic and numeric menu trees using a touch screen: breadth, depth, and width,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Selection from alphabetic and numeric menu trees using a touch screen: breadth, depth, and width,

Reference 21

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Observation da4e27eb-11d8-4d45-bc02-038e32f85a63 · outbound

This paper cites 29, Springer, 2005.

Conformal Predictions for Human Action Recognition with Vision-Language Models 29, Springer, 2005

Reference 22

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Observation 721a98cc-f580-44f3-ad99-72371ade35c7 · outbound

This paper cites Least ambiguous set-valued classifiers with bounded error levels,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Least ambiguous set-valued classifiers with bounded error levels,

Reference 23

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Observation 6646e6a3-2c74-42a6-8ec3-0cdf63832d99 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Conformal Predictions for Human Action Recognition with Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 24

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Observation e8f59025-c1f8-483f-9807-cf3da5364aad · outbound

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Conformal Predictions for Human Action Recognition with Vision-Language Models Unresolved cited work

Reference 25

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Observation b09704fd-e233-4b1d-a05d-12750ded83d7 · outbound

This paper cites Dense trajectories and motion bound- ary descriptors for action recognition,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Dense trajectories and motion bound- ary descriptors for action recognition,

Reference 26

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Source-reported events for the cited work

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Observation bf0d9c6c-9e8d-4b62-9611-04c033e18da2 · outbound

This paper cites Quo vadis, ac- tion recognition? a new model and the kinetics dataset,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Quo vadis, ac- tion recognition? a new model and the kinetics dataset,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:12.910729Z

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Observation 0eea96b6-72fb-453c-84f4-41be3bb39538 · outbound

This paper cites Expanding language-image pre- trained models for general video recognition,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Expanding language-image pre- trained models for general video recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:12.894085Z

Source-reported events for the cited work

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Observation da2774e8-bb9f-449c-a0f4-21fb6629e4d9 · outbound

This paper cites Fine-tuned clip models are efficient video learners,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Fine-tuned clip models are efficient video learners,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:12.876493Z

Source-reported events for the cited work

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Observation 68c96306-e637-4d2b-8e1e-a2fb307bdab1 · outbound

This paper cites Hmdb: A large video database for human motion recognition,.

Conformal Predictions for Human Action Recognition with Vision-Language Models Hmdb: A large video database for human motion recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:12.858847Z

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Observation 3f56ef6a-da66-46bb-ae9a-b5593bf1c613 · outbound

This paper cites On sequence learning models: Open-loop control not strictly guided by hick’s law,.

Conformal Predictions for Human Action Recognition with Vision-Language Models On sequence learning models: Open-loop control not strictly guided by hick’s law,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:57:12.842209Z

Source-reported events for the cited work

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Observation 6bf53bbe-ea34-459b-95a4-8b2c145abedf · outbound

This paper cites EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters.

Conformal Predictions for Human Action Recognition with Vision-Language Models EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 32

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Source-reported events for the cited work

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Pith citing papers

Observation 0696ad96-3d03-4398-baa9-416714377ac5 · inbound