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Paper Citation Record · LEDGER

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.16635.

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

pith.paper-citation-record.v1
2607.16635 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:26:57.127341Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13bf8546-bb10-49dc-97d8-fa6d4a1fd78c · outbound

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

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.075471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.075471Z digest=sha256:d99f99f121264ce122157d546f743fdea0d14aedabc38da63f937025dab59408

Observation 07003a8a-4f0c-4d9b-bca9-a0952b1d3d27 · outbound

This paper cites ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-01T20:28:29.284538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-01T20:26:57.081030Z digest=sha256:b6dd25765595792073b3a1d310f5e9bfd3083950e41c16d8527a977346c0b6c7

Observation 658feb03-d105-48e4-8e58-8dd5938b7fe7 · outbound

This paper cites From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-01T20:28:28.984222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-01T20:26:57.085023Z digest=sha256:996d3db3dd3fda43bdc36ffc1847cbc37ad6446e5a3b343e5c315a6b748c4895

Observation 3df49aa9-fbac-476e-be9a-51b3e9bc286e · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.088613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.088613Z digest=sha256:dd6548ba3aee00e8c54adc6551dade4a0a3ca37f61689048ce2d7d4a104cc8b4

Observation 6bf51f26-e83d-4698-aa95-618a8975f63f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.095734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.095734Z digest=sha256:40b856fac09de90d25d6c9351a64b5af3c1f0454fc070a66d7f4e9f30b19c05c

Observation e68cf189-301d-43ab-ab69-4b268c60f2b0 · outbound

This paper cites Solving the multiple instance problem with axis-parallel rectangles,.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Solving the multiple instance problem with axis-parallel rectangles,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.099401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.099401Z digest=sha256:95b355afb8add436a8b41d4cece1af74ae55d892483f7d5cebfb0cf822c80cf6

Observation d8c72ab4-4fd2-4aa4-b9ef-1ffb9882ead1 · outbound

This paper cites Attention-based Deep Multiple Instance Learning.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Attention-based Deep Multiple Instance Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.103346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.103346Z digest=sha256:e60a33a71c4a5ac8676d5524fa0f9ec7b36ab22f3910a3b0cff1d205c4bbb65a

Observation 0b02864a-d0a1-49c6-8956-5ee9fb32582e · outbound

This paper cites Qwen3 Technical Report.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Qwen3 Technical Report

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.107002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.107002Z digest=sha256:13ad9bbbcbcd8f421a1f47c53d0aebe4a459646fe4dbf2a63da536d555999e22

Observation cd0d0b87-af82-46d3-a270-561cd13ec521 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Robust Speech Recognition via Large-Scale Weak Supervision

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.110202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.110202Z digest=sha256:1dbd319b9e6fc9e557e752c3b0f69e6ba0526153d580460d83adb91220e28721

Observation a0dc15c6-0e90-4130-a521-1e9a8a545772 · outbound

This paper cites Cross-validatory choice and assessment of sta- tistical predictions,.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Cross-validatory choice and assessment of sta- tistical predictions,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.114509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.114509Z digest=sha256:56c977819964052774419489939134dd6078bbe87f4463d3892f895a53fffda0

Observation 9ef4386e-297c-471a-9699-afe72ac8c6b6 · outbound

This paper cites Scikit-learn: Machine learn- ing in Python,.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Scikit-learn: Machine learn- ing in Python,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.117460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.117460Z digest=sha256:aecc076ce138237679a909915a5c285622e575e75a1c3f3691980eb83aa2b619

Observation fe1a7c68-3319-4b4f-ac34-72fab105fe8d · outbound

This paper cites Decoupled Weight Decay Regularization.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Decoupled Weight Decay Regularization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.120610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.120610Z digest=sha256:cf027c8d90bab6959ef67098be3bf85b524e23f3cbc8cd2f8919d31a7b60c7b7

Observation 8578093c-91ff-4473-b885-80a54fac6e30 · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Multilingual E5 Text Embeddings: A Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.123967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.123967Z digest=sha256:b46fe42b4ea7f271fd462234917331ae213f4eb77e66f36bbb0b64f68ad265ce

Observation a4236440-3a2c-44fb-a8b0-4f4bb1ac5096 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.127341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.127341Z digest=sha256:2ed9553ab4e77086cb601a055b49e9f9ea26111ad86b1d5f47be351458394dd1

Observation 229b3df0-cd56-41e5-8771-01fe80ec93fa · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T20:26:57.092217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:26:57.092217Z digest=sha256:1f7ff68fa396a3894efb5cb83d44af97afc1a12f187dae327031845b50c19b73

Pith citing papers

No inbound Pith citation observations are available.