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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2605.27451.

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

pith.paper-citation-record.v1
2605.27451 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T11:35:24.892050Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:26:57.085023Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact17
  • verified fuzzy5
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation cea6f7d8-33c4-469b-b6f5-cd277fef2a0b · outbound

This paper cites Conflict-aware multimodal fusion for ambivalence and hesitancy recognition.arXiv preprint arXiv:2603.15818, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Conflict-aware multimodal fusion for ambivalence and hesitancy recognition.arXiv preprint arXiv:2603.15818, 2026

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.875634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:ee737d54681874375e1713c5cdbd65f122a26f43319e2486a65a496221571727

Observation 58a51d40-2482-4bb9-a747-c2ef4f7389f0 · outbound

This paper cites Multi- modal emotion recognition via bi-directional cross-attention and temporal modeling.arXiv preprint arXiv:2603.11971,.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Multi- modal emotion recognition via bi-directional cross-attention and temporal modeling.arXiv preprint arXiv:2603.11971,

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.880655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:acab9b7a7fba1f741d3436776495567fd3631008c56a210bd297b9de47023eba

Observation 08b2c478-50fb-4368-98ca-e09e7ddacb53 · outbound

This paper cites ’feel- trace’: An instrument for recording perceived emotion in real time.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition ’feel- trace’: An instrument for recording perceived emotion in real time

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:36:09.462828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:65f6b7c31589e7baf7b916c2ae802fc014e5da0acbeda757e4843e7b4bb30647

Observation 59882aa0-34ef-4287-a153-d71c2b786392 · outbound

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

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-30T11:44:38.883162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:8836fcedf12ad7d724b69b64289b8f1565ef6fffe538eb23fe09ec9981dcb5ef

Observation 419d3efd-f3b1-402a-92ae-02e8e0b50d13 · outbound

This paper cites Multimodal emotion regression with multi- objective optimization and vad-aware audio modeling for the 10th abaw emi track.arXiv preprint arXiv:2603.13760.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Multimodal emotion regression with multi- objective optimization and vad-aware audio modeling for the 10th abaw emi track.arXiv preprint arXiv:2603.13760

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.885839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:9873566d8e85692579112cc92d5a7c82d16d4b737983553166f6bac0fe2d21cc

Observation a31bf894-cdb9-4aa1-8514-ed1308e089a3 · outbound

This paper cites Distance-aware Soft Prompt Guidance for Multimodal Valence-Arousal Estimation.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Distance-aware Soft Prompt Guidance for Multimodal Valence-Arousal Estimation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-30T02:04:37.548687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:164f8a6c83bbbdb2f02e4879e91a16335446018dab915f2f4dc0e6cc858d73ab

Observation eeba267f-4006-495a-a347-67c717a54997 · outbound

This paper cites Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architec- tures, and beyond.International Journal of Computer Vision, pages 1–23, 2019.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architec- tures, and beyond.International Journal of Computer Vision, pages 1–23, 2019

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:36:09.466245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:562b2b02f42133a68424cb11c542de664de2f84aa3011ffcbde089ebe412c8a8

Observation bcdb97fd-5e4f-4d4d-8e30-16572a82a112 · outbound

This paper cites Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.862780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:5d3e3097a2abd903c5230b8905481dca10c477f83d9b50bb9eaa7ff0ea3404cf

Observation 82afc6d2-c73d-4799-8a4a-3a03fe63d996 · outbound

This paper cites DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:44:38.868132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:5f07d5d812f2957f2fc38023a28416963377bb124faa6039f4a549506ba5bfc8

Observation 8b15db7d-9de9-4888-9cb7-4c041594e91f · outbound

This paper cites Ad- vancements in affective and behavior analysis: The 8th abaw workshop and competition.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Ad- vancements in affective and behavior analysis: The 8th abaw workshop and competition

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:36:09.469387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:78cd4a6bb8ac20442d6b1267a96f881a0f28d2ff2148786f3707e6bac7c7f135

Observation c025af56-8000-4ed7-a5f0-c36d105e8f85 · outbound

This paper cites From emotions to violence: Multimodal fine- grained behavior analysis at the 9th abaw.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition From emotions to violence: Multimodal fine- grained behavior analysis at the 9th abaw

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:36:09.456908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:88cc3fbd748f0a8e6a790e112fbf38eea2d63b21e3e0eefa64d5d87f85f83bf0

Observation 03f2318e-7268-4d58-b1c6-83e9fb8f5943 · outbound

This paper cites Stage-adaptive reliability modeling for continuous valence- arousal estimation.arXiv preprint arXiv:2603.11468, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Stage-adaptive reliability modeling for continuous valence- arousal estimation.arXiv preprint arXiv:2603.11468, 2026

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.854669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:b2341f00deb9837f6733b46543abb5eccfadcada07270090587807b8787d2f5f

Observation dbe5880b-8b26-4ea1-ad35-6a0d52129771 · outbound

This paper cites Brother: Behavioral recognition optimized through hetero- geneous ensemble regularization for ambivalence and hesi- tancy.arXiv preprint arXiv:2603.14361, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Brother: Behavioral recognition optimized through hetero- geneous ensemble regularization for ambivalence and hesi- tancy.arXiv preprint arXiv:2603.14361, 2026

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.852181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:6cf0159239afe969e80a07095227545eeadaa3798730647913b1ec69051c27d3

Observation dfd9d4bd-413d-4693-b470-865454795f24 · outbound

This paper cites Mixaugment & mixup: Augmentation methods for facial expression recog- nition.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Mixaugment & mixup: Augmentation methods for facial expression recog- nition

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T09:36:09.460141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:4da6a190cc319f28a183fafc0ac6f83b83a61d9e318b1d80a51f0e69b0536982

Observation 038f6a4f-3642-4867-80a3-42421247ec55 · outbound

This paper cites Team leya in 10th abaw competition: Multimodal ambivalence/hesitancy recognition approach.arXiv preprint arXiv:2603.12848, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Team leya in 10th abaw competition: Multimodal ambivalence/hesitancy recognition approach.arXiv preprint arXiv:2603.12848, 2026

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.857082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:a7a93db1a520a39d64043b8a3c212bac88447d0649e6b5a0b9d00eaebdbd8f32

Observation 969b8fcb-f1e2-4289-8deb-ea727f0bba6a · outbound

This paper cites Team ras in 10th abaw competition: Multimodal valence and arousal estimation approach.arXiv preprint arXiv:2603.13056, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Team ras in 10th abaw competition: Multimodal valence and arousal estimation approach.arXiv preprint arXiv:2603.13056, 2026

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.870579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:e7326ff0844a33e650ed508dc78262f06508177fb338bf462f599a49ac5d9598

Observation f4f39da8-605e-48a6-8768-6b7a77b5b0a9 · outbound

This paper cites an unresolved cited work.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Unresolved cited work

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.873262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:37c9d308cace8428479e91416e984ee72488d42dd64d9b470460b8e52abe4bde

Observation 8646f89e-8782-4826-a95b-457d9fb207dd · outbound

This paper cites So- lution for 10th competition on ambivalence/hesitancy (ah) video recognition challenge using divergence-based multi- modal fusion.arXiv preprint arXiv:2603.16939, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition So- lution for 10th competition on ambivalence/hesitancy (ah) video recognition challenge using divergence-based multi- modal fusion.arXiv preprint arXiv:2603.16939, 2026

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.849530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:ada94d75a505ccb244a8fb53773bf7dfd60ceb4c2bf1659fbd267de5df340650

Observation e64b63fd-5e7f-4473-82fc-784b335074aa · outbound

This paper cites A Two-Stage Dual-Modality Model for Facial Emotional Expression Recognition.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition A Two-Stage Dual-Modality Model for Facial Emotional Expression Recognition

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-06-30T11:44:38.841403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:f408de5559e56656e381b9ad6b2e00eff5d22bd6a84cae19ff7ef93aae4ae99a

Observation ed090845-2beb-47cd-901b-6c533126e655 · outbound

This paper cites Nu- anced emotion recognition based on a segment-based mllm framework leveraging qwen3-omni for ah detection.arXiv preprint arXiv:2603.13406, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Nu- anced emotion recognition based on a segment-based mllm framework leveraging qwen3-omni for ah detection.arXiv preprint arXiv:2603.13406, 2026

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.843979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:9512d93c9440d343bff8cd15be3d0a7f49bbe77a000de72ba76d35e757b90159

Observation b485d702-3089-4d69-8feb-f9ddd2504b32 · outbound

This paper cites Hierarchical granularity alignment and state space modeling for robust multimodal au detection in the wild.arXiv preprint arXiv:2603.11306, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Hierarchical granularity alignment and state space modeling for robust multimodal au detection in the wild.arXiv preprint arXiv:2603.11306, 2026

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.836265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:4acce926098f6f71abbc954cd391c81205733343243b52f392bf50c6f6e0de3d

Observation 29db5e7e-8e74-472a-b1a8-fcee5348b6ad · outbound

This paper cites So- lution to the 10th abaw expression recognition challenge: A robust multimodal framework with safe cross-attention and modality dropout.arXiv preprint arXiv:2603.08034, 2026.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition So- lution to the 10th abaw expression recognition challenge: A robust multimodal framework with safe cross-attention and modality dropout.arXiv preprint arXiv:2603.08034, 2026

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.838971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:7f30c3b020af8d6331fc5af4e7d85a4b2cf6baa0ef99dc34a80f52dcbf308571

Observation da69206c-5dd7-429b-8a8b-40ea3cf7aba6 · outbound

This paper cites Anchoring emotions in text: Robust multimodal fusion for mimicry intensity estimation.

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition Anchoring emotions in text: Robust multimodal fusion for mimicry intensity estimation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.846736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:35:24.892050Z digest=sha256:5f86bda54a25d5fa9e40cd5662e3978a7b0618588e016cfd96e535d9d09ee415

Pith citing papers

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

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

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-01T20:26:57.085023Z digest=sha256:866a153edcb6a96072f0a9598640b3c69f42ec88d93394d018832f0ad065ec0f