Paper Citation Record · LEDGER

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.11120.

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

pith.paper-citation-record.v1
2607.11120 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:56:13.966770Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d68d521-0104-4ade-8ce8-39e6064b0451 · outbound

This paper cites BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8213a5da-2a24-4e0f-8153-a5300a718842 · outbound

This paper cites Conflict-aware multi- modal fusion for ambivalence and hesitancy recognition,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Conflict-aware multi- modal fusion for ambivalence and hesitancy recognition,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73b7550-8d18-4c32-9fdc-cec8b4ad8eb9 · outbound

This paper cites HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d0f254b-22be-4e25-9e68-f8b8378e88eb · outbound

This paper cites The 6th affec- tive behavior analysis in-the-wild (abaw) competition,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video The 6th affec- tive behavior analysis in-the-wild (abaw) competition,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

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Unavailable: canonical work link unavailable.

Observation 08a55e9e-99b4-41f7-89f1-ec068d77001f · outbound

This paper cites Context-dependent sen- timent analysis in user-generated videos,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Context-dependent sen- timent analysis in user-generated videos,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba1441a-cb51-4604-94da-ae1f6375d3ff · outbound

This paper cites Verbal and nonverbal clues for real-life deception detection,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Verbal and nonverbal clues for real-life deception detection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d87e8c-50a2-44df-acfd-68eccaf69a81 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self- supervised video pre-training,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Videomae: Masked autoencoders are data-efficient learners for self- supervised video pre-training,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a533b303-1935-49e3-8f21-57684199402a · outbound

This paper cites Hubert: Self- supervised speech representation learning by masked pre- diction of hidden units,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Hubert: Self- supervised speech representation learning by masked pre- diction of hidden units,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c1026c-abac-443e-82d8-760aed9b4c35 · outbound

This paper cites Dawn of the transformer era in speech emotion recog- nition: closing the valence gap,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Dawn of the transformer era in speech emotion recog- nition: closing the valence gap,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f90285-246c-4a54-a800-39991673c3c4 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29534ab9-534b-453c-a415-ec13352c8385 · outbound

This paper cites Goemotions: A dataset of fine-grained emotions,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Goemotions: A dataset of fine-grained emotions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8199d11-9267-438e-95ee-20b14e83425e · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008f573a-bcd0-4f65-9b60-6141c06c66c0 · outbound

This paper cites On calibration of modern neural networks,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video On calibration of modern neural networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c1e0f5-bed7-459f-83a0-b2fcfa5f994e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

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Observation 9d7998e1-9932-4f38-9009-4a8d4cda96b5 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e60520-42bf-4977-9cb8-27646d0a34be · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Rethinking the inception architecture for computer vision,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c0700b-eba1-4f5f-8270-bf59e8e92731 · outbound

This paper cites Robust speech recog- nition via large-scale weak supervision,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Robust speech recog- nition via large-scale weak supervision,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

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Observation 7b979ff9-573b-4314-bd4f-80793cbb780b · outbound

This paper cites Decoupled Weight Decay Regularization.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Decoupled Weight Decay Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

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Observation fe2d5514-f9e1-4557-ae6d-e1ef7aa8a9cf · outbound

This paper cites R-drop: Regularized dropout for neural networks,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video R-drop: Regularized dropout for neural networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a51271b6-66c9-4d06-91ba-dbeab03e03cd · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Pytorch: An imperative style, high-performance deep learning library,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982a2056-e8e4-422d-bbae-6810b73a47ae · outbound

This paper cites Transformers: State-of-the-art natural language process- ing,.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Transformers: State-of-the-art natural language process- ing,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99e7f937-23c8-4c38-bf0f-b17542b3d652 · outbound

This paper cites Efron and R.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video Efron and R

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b66660e-3f1f-4291-8729-ed3d0c723bfb · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video MediaPipe: A Framework for Building Perception Pipelines

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:13.966770Z

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Pith citing papers

No inbound Pith citation observations are available.