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Paper Citation Record · LEDGER

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 3 inbound Pith citation observations for arXiv:2603.08387.

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

pith.paper-citation-record.v1
2603.08387 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-15T12:40:55.565397Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:39:23.724508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T15:58:32.630043Z

Reference resolution

45 of 45 outbound references displayed

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  • malformed identifier0
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Outbound references

Observation ea9d8116-a45c-45f1-8711-d29758a1b92b · outbound

This paper cites Facial action coding system: a technique for the measurement of facial movement,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Facial action coding system: a technique for the measurement of facial movement,

Reference 1

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Observation 7188e2c1-b9e5-4ca3-b23b-809678cefb28 · outbound

This paper cites Auformer: Vision transformers are parameter-efficient facial action unit detectors,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Auformer: Vision transformers are parameter-efficient facial action unit detectors,

Reference 2

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Observation e185a94b-0fa3-4d36-8fe9-6647e8b9a4e9 · outbound

This paper cites Automatic analysis of facial actions: A survey,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Automatic analysis of facial actions: A survey,

Reference 3

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Observation 008d251f-1109-48d0-b1b0-9a349d99b749 · outbound

This paper cites Representation flow for action recognition,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Representation flow for action recognition,

Reference 4

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Observation 95855af4-f588-4a40-bfb4-baa092f1e725 · outbound

This paper cites Dynamic texture recognition using local binary patterns with an application to facial expressions,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Dynamic texture recognition using local binary patterns with an application to facial expressions,

Reference 5

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Observation 293441b8-b885-4b1a-89c9-53873ccb2a07 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Learning spatiotemporal features with 3d convolutional networks,

Reference 6

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Observation aead3c0a-8490-4ae1-8921-95b1e9daf1a8 · outbound

This paper cites Learning Spatiotemporal Features with 3D Convolutional Networks.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Learning Spatiotemporal Features with 3D Convolutional Networks

Reference 7

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Observation 48a77e2d-0719-4b0e-aa97-4c90b49206db · outbound

This paper cites Spon- taneous facial micro-expression recognition using 3d spatiotemporal convolutional neural networks,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Spon- taneous facial micro-expression recognition using 3d spatiotemporal convolutional neural networks,

Reference 8

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Observation e59dd77d-4127-4fc3-8abf-d435b3ae5027 · outbound

This paper cites A main directional mean optical flow feature for spontaneous micro- expression recognition,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection A main directional mean optical flow feature for spontaneous micro- expression recognition,

Reference 9

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Observation 46927c77-2456-40a1-bd9c-ff814bfef1a6 · outbound

This paper cites Facial action unit detection with local key facial sub-region based multi-label classification for micro-expression analysis,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Facial action unit detection with local key facial sub-region based multi-label classification for micro-expression analysis,

Reference 10

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Observation 0cc741c2-3d6e-4620-a3a8-57f8cbbe95d9 · outbound

This paper cites Semantic relationships guided representation learning for facial action unit recognition,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Semantic relationships guided representation learning for facial action unit recognition,

Reference 11

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Observation 65b06554-0da3-4693-88ce-3d305a82ab6e · outbound

This paper cites Au-assisted graph attention convolutional network for micro-expression recognition,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Au-assisted graph attention convolutional network for micro-expression recognition,

Reference 12

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Observation f38a63da-d4ee-43bf-b7a9-2f7676486267 · outbound

This paper cites Large Language Models: A Survey.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Large Language Models: A Survey

Reference 13

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Observation a86a8432-332c-4717-a58d-6a493823b710 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 14

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Observation b05ca819-d3a8-44ec-aa6b-8c9ab3f391d8 · outbound

This paper cites Coun- terfactual vqa: A cause-effect look at language bias,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Coun- terfactual vqa: A cause-effect look at language bias,

Reference 15

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Observation de6229a3-6c6e-40d0-abb3-0fa952a14cd2 · outbound

This paper cites Au-llm: Micro-expression action unit detection via enhanced llm-based feature fusion,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Au-llm: Micro-expression action unit detection via enhanced llm-based feature fusion,

Reference 16

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Observation 07f902b6-fab7-4048-ae3b-c14af910bba7 · outbound

This paper cites 4dme: A spontaneous 4d micro-expression dataset with multimodalities,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection 4dme: A spontaneous 4d micro-expression dataset with multimodalities,

Reference 17

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Observation 5e11f742-fba3-4526-86ae-d99af2b0cd64 · outbound

This paper cites Micro-expression action unit detection with spatial and channel attention,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Micro-expression action unit detection with spatial and channel attention,

Reference 18

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Observation 8f3ee260-72e4-4e74-9197-c33c2150b663 · outbound

This paper cites Micro-expression action unit detection with dual-view attentive similarity-preserving knowledge distillation,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Micro-expression action unit detection with dual-view attentive similarity-preserving knowledge distillation,

Reference 19

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Observation f77049d7-052a-4ddf-97cf-0b51c8d5bbb9 · outbound

This paper cites Learnable eulerian dynamics for micro-expression action unit detection,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Learnable eulerian dynamics for micro-expression action unit detection,

Reference 20

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Observation 98b7a3d5-6a49-4e5a-bd2d-7528c0e5044a · outbound

This paper cites Infused suppression of magnification artefacts for micro-au detection,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Infused suppression of magnification artefacts for micro-au detection,

Reference 21

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Observation 7676b2a2-fad7-4927-91ed-f1d2a75457b6 · outbound

This paper cites Deep residual learning for image recognition,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Deep residual learning for image recognition,

Reference 22

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source=pdf_text observed=2026-07-15T12:40:55.565397Z digest=sha256:0a27bbabf267abd0ce4d15ebf313754d3a53d0151a2631b59aec21599ae9d818

Observation 6b4c9a17-4a4e-4222-84c6-41415419ad08 · outbound

This paper cites UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries

Reference 23

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Observation 9d3e1b00-5555-4076-94d3-bc0a600f2961 · outbound

This paper cites Joint patch and multi-label learning for facial action unit detection,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Joint patch and multi-label learning for facial action unit detection,

Reference 24

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Observation 7653ea86-1457-466e-a5f9-17ba9b8162f4 · outbound

This paper cites Visual instruction tuning,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Visual instruction tuning,

Reference 26

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source=pdf_text observed=2026-07-15T12:40:55.565397Z digest=sha256:c5d69d8a4683c5eee3c51c956aeb9502c8595afa8ee91636f45319c8bac111e6

Observation f4bd54b6-06a0-42bd-bf91-49b1bb053644 · outbound

This paper cites Emosym: A symbiotic framework for unified emotional understanding and generation via latent reasoning,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Emosym: A symbiotic framework for unified emotional understanding and generation via latent reasoning,

Reference 27

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Observation 205a25e7-3fb1-453c-9fe0-03baf0181e34 · outbound

This paper cites Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve

Reference 28

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Observation d71b6f52-2c94-42a8-bc62-c6d6d6a5a9ae · outbound

This paper cites The graph neural network model,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection The graph neural network model,

Reference 29

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Observation 64fa17d7-10f9-4bdb-b5ca-6b7bb07a27ae · outbound

This paper cites Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 30

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Observation 138ce622-4a69-49e2-b856-57268b165768 · outbound

This paper cites Squeeze-and-excitation networks,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Squeeze-and-excitation networks,

Reference 31

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Observation 44769cf5-0375-4141-a69f-447489c5a28e · outbound

This paper cites Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition

Reference 32

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Observation 1cf2ad7a-e838-4953-a3b6-3a8a29cb0c05 · outbound

This paper cites Constrained and directional ensemble attention for facial action unit detection,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Constrained and directional ensemble attention for facial action unit detection,

Reference 33

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Observation ad34bd1e-cae2-41dd-97f6-35c33a1d4ecc · outbound

This paper cites Micro-expression classification based on landmark relations with graph attention convolutional net- work,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Micro-expression classification based on landmark relations with graph attention convolutional net- work,

Reference 34

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Observation 7070f0ba-4138-4a5c-8a86-c4fed976d3f0 · outbound

This paper cites Visual prompt tuning,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Visual prompt tuning,

Reference 35

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Observation 39eafaa0-0749-4778-bbd9-40624f6a3563 · outbound

This paper cites Learning to prompt for vision- language models,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Learning to prompt for vision- language models,

Reference 36

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Observation 53c9c5ae-20c3-4a6d-8905-09bc4fe432b7 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Lora: Low-rank adaptation of large language models,

Reference 37

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Observation 2f13125c-642e-498c-9d6f-b405a0fa9840 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection FitNets: Hints for Thin Deep Nets

Reference 38

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Observation e6423081-ecc2-46fa-b53b-eb740667fb40 · outbound

This paper cites Similarity-preserving knowledge distillation,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Similarity-preserving knowledge distillation,

Reference 39

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Observation f731b087-6a3e-4cdc-9448-8d95b2d26b61 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 40

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Observation 2870e809-e3e7-4820-ba57-4f82a009d4dd · outbound

This paper cites Casme ii: An improved spontaneous micro-expression database and the baseline evaluation,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Casme ii: An improved spontaneous micro-expression database and the baseline evaluation,

Reference 41

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source=pdf_text observed=2026-07-15T12:40:55.565397Z digest=sha256:e7852092484bd368c08776784e077ca3250ab7a572d93eeff76e1327f1579882

Observation 8115671c-0174-47a7-b4fa-46fccad22576 · outbound

This paper cites Samm: A spontaneous micro-facial movement dataset,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Samm: A spontaneous micro-facial movement dataset,

Reference 42

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Observation 738b98b6-c4f5-413b-aceb-9a2bd7c196f7 · outbound

This paper cites Data leakage and evaluation issues in micro-expression analysis,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Data leakage and evaluation issues in micro-expression analysis,

Reference 43

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source=pdf_text observed=2026-07-15T12:40:55.565397Z digest=sha256:26e1493b3061b5f47e779d7acf0a0a46ad4255094a6e207f4c4c758e16cf6121

Observation 1cf411e1-8c01-4a1a-889c-93c87eeb6c1c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 44

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source=pdf_text observed=2026-07-15T12:40:55.565397Z digest=sha256:8549264a11f98ff68b7189fb73b0fac2ceb12efb7f426bb3818c4a4632a402c7

Observation e2ca29ec-4ca9-4a67-9399-2d4c76d22f27 · outbound

This paper cites Dire: Enhancing facial expression recognition through domain-invariant representation learning for robust generalization,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Dire: Enhancing facial expression recognition through domain-invariant representation learning for robust generalization,

Reference 45

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source=pdf_text observed=2026-07-15T12:40:55.565397Z digest=sha256:597c543a3e914b427fd2ec41780e1f74ff3f38331605d82a9e007c1d0dcd40a8

Observation 924e91ec-ab2b-4d65-9141-825f3f7da729 · outbound

This paper cites Micro-expression recognition with super- vised contrastive learning,.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Micro-expression recognition with super- vised contrastive learning,

Reference 46

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source=pdf_text observed=2026-07-15T12:40:55.565397Z digest=sha256:079b397f7acd6e0cb999b40ae0895a063e29c34755faa4e5af526b9ba2a1ac0d

Pith citing papers

Observation 61d2d9b6-93f5-4dac-ad03-844cc572b781 · inbound

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition cites this paper.

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection

Reference 29

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arxiv_id, observed 2026-07-07T03:18:12.985685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:21:42.285340Z digest=sha256:9e339b009126c367c5c6469dd233852109a7c5a4929d2342e1f4f94b3b847f8e

Observation a7544ce5-2cf8-4e85-a5f5-2ca94b018d4a · inbound

Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition cites this paper.

Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection

Reference 28

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arxiv_id, observed 2026-07-07T03:18:12.985685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T15:55:57.330888Z digest=sha256:c815e86fe6852579c62ef6fb25c6a92f11a7c871cba004fbfc86fb7f11535e38

Observation c44a8cd3-d081-4464-900a-70761b175275 · inbound

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs cites this paper.

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection

Reference 35

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source=pdf_text observed=2026-08-02T04:39:23.724508Z digest=sha256:f2489922254b51df63729a842bce60ce73c8fd0a6fc61e813922722f09a615be