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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 9 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=sha256:06ba050ede683ad1d13517e7bb52c0d24542ee9ac954d2ec6f77017a6d470921

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=sha256:7aa9a4c89161d6fcbff63617672bb5bd10467771e2b2ad04ad3b6ac1d612acde

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=sha256:7a30f9a3cd3fc1576d5dbddee5e597eb6a92ed0e59c8eb2f27ebd4f859f1b22c

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=sha256:844ace65757553b16321a0c10f35338b03da24b1c2b4e4ca7709f78459f35ad3

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=sha256:885413c6d02535ae0d253d4bd622a869f90debe8a85ed793b3947a7746c9332a

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=sha256:1883dfadaeb0c4ce15974b9ce296e93fea4914a7b4c7cae79414f175a6405ddf

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=sha256:525285a53cad454432f90b7811c3c7eb25fd7083086524b45f09d2b0cdc85ae5

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:bf73078d370b971038ba87d4d2e80cdce0384cc10bb65eb979e9f31ab01b50cd

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=sha256:3431be7d18e330303e0b1436457bdfd45a573cec33bcd7614c483714988a4c04

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:e96ddd315bed516c81173d3e523f12ac08173fa23446a56f1ab929703db9f060

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=sha256:9c3c5e1a135ac680462b68cac9853c9f4e124344929c78c9e5bd945fd510a850

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=sha256:09cd48e74deb7985a5e0ee35cb55b8026f5741f4ebf38277f0a321f85ca678e5

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:a56efbb7925cffcf9111dd599bce897df1e0fee82984bf4bbcd2cdbc41518831

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=sha256:02e40ecb865ea4da4698b81486abed556e261903cf3c220f7955249011d2e431

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=sha256:5d5bc6d8c3b07c485d599350b83119055d5c3c6d6ce5d90810c92b19cf56af37

Pith citing papers

No inbound Pith citation observations are available.