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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 19 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 2026-08-19T06:32:44.657259+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:ee05873bf0419069b854162f6909291c0ce889b58f7c4eec8d11fefbbd88f8fc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:26:57.081030Z digest=sha256:13ea0e9318e992a49ae1d4ef7e85438d0abbdbb7ffaafefbba754dae858f06c6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:26:57.085023Z digest=sha256:fc82ebfe0347dd3728913749e6d5262a5a3d2d52a2758ce64e095fc4db81ded8

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:ab012b9a5cc500e33bb72ce4647aa76c03b7d5f10ee90df137810897b765a3a2

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:b5a22386d477e7daaac93f1dae9ed42845c634aa232f1f171115f71fac885b28

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:e7538fad74f90834c3762c8d5561e8a7c4dbfd4edf48e9b22b0afb209f301cdb

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:edf0d22ae9b1baa2e7bb0e435bd95e693510aad68e51bacb7a2e7df1e86877e7

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:f905245d71da8ca208fb5470df46344c46b145285079483a96fb3704a71324a2

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=sha256:8fea6633aa557a404b219d98c15e87f5e1e93a045dcdb80e0ff4927673cb4936

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=sha256:77753ce1f30613ddfa41ed04596355b1a24c83a505f56127d74859ddbabfb2e2

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=sha256:1b994fb823591021b73f63ad00b2d335cfc7af9b7b2365cba144a12e292aa3af

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=sha256:19287ce639d94462ae7a8047840e82bd0dbd346fa625f53e42dd539d61f15a60

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=sha256:8b3ac4d26c6704647566bd815614d7e2a1914077ee035a3e258ac8d689eec393

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=sha256:507c78328a516485eb6e2e2b69bbc4a603277019d305777ddab5437598ff75f0

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:a176babcc27f1d13cc034291a503edd474c2ce9c195370f7911f8788bb1ed246

Pith citing papers

No inbound Pith citation observations are available.