Paper Citation Record · LEDGER

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness

As of 14 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 4 inbound Pith citation observations for arXiv:2501.07978.

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

pith.paper-citation-record.v1
2501.07978 v1

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:54.320561Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:24:36.541729Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:02:37.644844Z

Reference resolution

95 of 95 outbound references displayed

verified exact0
verified fuzzy43
unresolved52
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc93ae32-cc76-4acc-ba60-cbec4923ba3e · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Flamingo: a visual language model for few-shot learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.884278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4abc8b02-edbf-4fe1-a5c3-b75fdb296c4a · outbound

This paper cites Emotion recognition in speech using cross- modal transfer in the wild, 2018.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Emotion recognition in speech using cross- modal transfer in the wild, 2018

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.889385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd82447-b527-47b6-8bcc-f1a8e953315f · outbound

This paper cites Claude-3.5, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Claude-3.5, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.893802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f6185c-f02d-4cf3-a693-a66927114450 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.903232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbe17d3-6f5a-421c-ba14-585c11660183 · outbound

This paper cites Collecting highly paral- lel data for paraphrase evaluation.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Collecting highly paral- lel data for paraphrase evaluation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.907800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14417cbe-13db-43dc-8f44-377172cdc49b · outbound

This paper cites FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.913411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ade2e87-b39e-4fb9-a3b9-2a3bacd370d0 · outbound

This paper cites ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.918678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70c08be-1453-477b-a074-daa4cfb9a060 · outbound

This paper cites Stcam: Spatial-temporal and channel attention module for dynamic facial expression recognition.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Stcam: Spatial-temporal and channel attention module for dynamic facial expression recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.923207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058f14fb-70b5-4ece-a08c-26afc70ea1c0 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.927345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d653a64-b7f1-4921-926f-8b741118b8ba · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.930933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184a51db-02cc-49ff-a15b-11671cca3d01 · outbound

This paper cites Transface: Calibrating trans- former training for face recognition from a data-centric per- spective, 2023.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Transface: Calibrating trans- former training for face recognition from a data-centric per- spective, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.934690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70be547e-fdad-44e1-8463-20e460e9a722 · outbound

This paper cites Diffusionrig: Learning personal- ized priors for facial appearance editing.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Diffusionrig: Learning personal- ized priors for facial appearance editing

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.937932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 868dbd0f-f384-43a1-8d93-af5d185986ac · outbound

This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.942983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6236c81b-5727-4fb4-8b60-8bc7774588a9 · outbound

This paper cites Strongsort: Make deep- sort great again.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Strongsort: Make deep- sort great again

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.947008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17472c72-cec0-40a2-99b2-84c691b507e7 · outbound

This paper cites EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Ex- pression Recognition.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Ex- pression Recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.950534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e20eb0f-a12a-465a-9847-5d95dbc2c3b4 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.954454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee3927a-96fb-42f8-b2fd-123ecbc2904c · outbound

This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.958465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289d0ca9-4987-45a4-9795-01f08b933ada · outbound

This paper cites Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive ap- plications.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive ap- plications

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.963217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b69d2990-0a6e-4675-a16e-24c27a8da406 · outbound

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

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness LoRA: Low-rank adaptation of large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.967225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7602365-cb26-4dfd-ba34-4fa8ff056ba9 · outbound

This paper cites Multimodal Pretraining for Dense Video Captioning.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Multimodal Pretraining for Dense Video Captioning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.972371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d501ff5-cfb1-45a9-8ef6-2707817343ae · outbound

This paper cites Video ReCap: Recursive Captioning of Hour-Long Videos.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Video ReCap: Recursive Captioning of Hour-Long Videos

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.977080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33d0f7e5-2d02-4c8f-9663-7bed3fa6c57e · outbound

This paper cites an unresolved cited work.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.982395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d82b7f6-3584-472c-9619-29f1ddd9bf3a · outbound

This paper cites Dfew: A large-scale database for recognizing dynamic facial expres- sions in the wild, 2020.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Dfew: A large-scale database for recognizing dynamic facial expres- sions in the wild, 2020

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.986831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac506810-02a2-41f5-af59-04498bbaecb6 · outbound

This paper cites Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.991893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b19a64f9-dbfe-445d-8e6b-174955e70bb1 · outbound

This paper cites Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface, 2019.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface, 2019

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:53.996900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49941daa-11fa-4191-86d9-ffe12cf973be · outbound

This paper cites Afew-va database for valence and arousal estimation in-the-wild.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Afew-va database for valence and arousal estimation in-the-wild

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.000691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61377989-453c-4780-bcc3-f74d63bdc9c6 · outbound

This paper cites Dense-captioning events in videos.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Dense-captioning events in videos

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.005726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64a0f55-59a7-4ea3-b690-8dfe4fe2cbb8 · outbound

This paper cites Context-aware emotion recognition net- works.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Context-aware emotion recognition net- works

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.430420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2632afb-5b1a-4883-b728-12af4c6b4f4e · outbound

This paper cites Llava-next: What else influences visual instruction tun- ing beyond data?, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Llava-next: What else influences visual instruction tun- ing beyond data?, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.416512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7cff97f2-83c7-460b-8ba4-38f3988fdfee · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness LLaVA-OneVision: Easy Visual Task Transfer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.026558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26760f4-3fcf-4b4e-ac56-e16b76841d14 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.031175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8c1543-a945-4910-af7e-409144b7f88f · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.035535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e33504e-cdb5-4ea3-9099-cc2a3bfd6e84 · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness VideoChat: Chat-Centric Video Understanding

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.040489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9094410c-9abc-4c79-bf0a-6f01cc769b6e · outbound

This paper cites Dual-sti: Dual-path spatial-temporal interac- tion learning for dynamic facial expression recognition.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Dual-sti: Dual-path spatial-temporal interac- tion learning for dynamic facial expression recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.395528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5f712da-2f25-4616-844c-628f256cccd3 · outbound

This paper cites Facial affective behavior analysis with instruction tuning, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Facial affective behavior analysis with instruction tuning, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.384319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88837485-f367-4190-a78b-1cc280f44245 · outbound

This paper cites Llama-vid: An image is worth 2 tokens in large language models.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Llama-vid: An image is worth 2 tokens in large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.373429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 231af9a6-5224-4f1f-9aa0-310260037293 · outbound

This paper cites Photomaker: Customizing realistic human photos via stacked id embedding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Photomaker: Customizing realistic human photos via stacked id embedding

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.358412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa8073b5-3bd1-43cd-963c-2284534b242b · outbound

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

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.063000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d2eb12-c3d7-4f98-85e0-64962d28268b · outbound

This paper cites Saanet: Siamese action-units attention network for improving dynamic facial expression recogni- tion.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Saanet: Siamese action-units attention network for improving dynamic facial expression recogni- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.342396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1ae5ed9-7d2a-466e-baf4-923d799a0625 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Improved Baselines with Visual Instruction Tuning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.072952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deaaf7f4-3e1b-4922-a469-7e7c51f095d5 · outbound

This paper cites Visual instruction tuning.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Visual instruction tuning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.079056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a8b8f70-e38a-45c8-8359-777e250eb065 · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.083552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6196b34-0323-4b0c-a59a-c4796f0303b6 · outbound

This paper cites BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.087918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d075e73-3a34-4aa7-874c-120ee1be9681 · outbound

This paper cites ST-LLM: Large Language Models Are Effective Temporal Learners.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.092524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 803469f6-deef-4297-b87b-92833edf75ad · outbound

This paper cites Mafw: A large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild, 2023.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Mafw: A large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild, 2023

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.321731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8f43fe3-bbf1-4cc1-bce9-5e410716a276 · outbound

This paper cites DamoFD: Digging into backbone de- sign on face detection.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness DamoFD: Digging into backbone de- sign on face detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.309781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a21361f-515c-4376-a7f1-c07d45c73d82 · outbound

This paper cites Livingstone and Frank A.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Livingstone and Frank A

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.297610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9ccb828-d05c-4b47-ae5e-5b61b57bade5 · outbound

This paper cites Cohn, Takeo Kanade, Jason Saragih, Zara Ambadar, and Iain Matthews.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Cohn, Takeo Kanade, Jason Saragih, Zara Ambadar, and Iain Matthews

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.286051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2d697a4f-8b27-4320-b587-e8742ea614d5 · outbound

This paper cites The extended cohn- kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness The extended cohn- kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.273230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5c470e0-abcf-40aa-ba94-8c820facbbd1 · outbound

This paper cites Learning multi-dimensional edge feature- based au relation graph for facial action unit recognition.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Learning multi-dimensional edge feature- based au relation graph for facial action unit recognition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.257974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0e643a4-7903-4f7c-91ee-b39f6e6d84e9 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.127444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ffd7c41-e2d5-4641-a30c-47452385392f · outbound

This paper cites Video-chatgpt: Towards detailed video 10 understanding via large vision and language models, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Video-chatgpt: Towards detailed video 10 understanding via large vision and language models, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.246121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e82a982a-ec88-45ab-9a48-d0a347527cc1 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Egoschema: A diagnostic benchmark for very long- form video language understanding

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.135546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710122ae-8fba-4ba8-aa6f-3f5913cf3f7b · outbound

This paper cites The importance of emotional regulation in mental health.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness The importance of emotional regulation in mental health

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.227238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 719aa5fe-2e0a-4e13-9845-7ea75642b62f · outbound

This paper cites FaceXFormer: A Unified Transformer for Facial Analysis.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness FaceXFormer: A Unified Transformer for Facial Analysis

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.143445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f37c381-ba5c-4eb6-8586-9ccfaf984da2 · outbound

This paper cites Repre- sentation learning and identity adversarial training for facial behavior understanding, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Repre- sentation learning and identity adversarial training for facial behavior understanding, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.215683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d662422b-4de8-4bca-bc29-6399216d3fe9 · outbound

This paper cites an unresolved cited work.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:33:55.202907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f6f9678f-c6e2-4ba8-b2e7-9df8a433944e · outbound

This paper cites Gpt-4v(ision) system card.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Gpt-4v(ision) system card

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.189876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation feebdaca-2d58-4d68-b35f-94a596c1ce9d · outbound

This paper cites Gpt-4 technical report, 2023.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Gpt-4 technical report, 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.178240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68ab66d2-4688-4f8d-8a79-199d155881f5 · outbound

This paper cites Gpt-4o system card, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Gpt-4o system card, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.166879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fed2f313-d31c-47f1-a744-9a6b3e0308f9 · outbound

This paper cites Digihuman: A con- versational digital human with facial expressions.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Digihuman: A con- versational digital human with facial expressions

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.152984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d57b4a1-9157-4f8f-a53c-d32938b2a18e · outbound

This paper cites Pantic, M.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Pantic, M

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.140334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5af1b47d-f09a-4c75-9ece-bce449cfd8f5 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Learning transferable visual models from natural language supervi- sion

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.181114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113794d7-32e1-42f4-adb7-8d05ccabfe0a · outbound

This paper cites Movie description.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Movie description

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.121966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d423450c-b4bf-45a3-a3a2-63e59e6853fb · outbound

This paper cites Multi-view dynamic facial action unit detection.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Multi-view dynamic facial action unit detection

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.111532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adc5adc1-c310-4d96-94c4-3e30f01709c8 · outbound

This paper cites Deep adaptive attention for joint facial action unit detection and face alignment.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Deep adaptive attention for joint facial action unit detection and face alignment

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.098590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d57afeef-1816-4ffa-ab42-5dd4bc8d113b · outbound

This paper cites Driver’s emotion and behavior classification system based on internet of things and deep learning for advanced driver assistance system (adas).

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Driver’s emotion and behavior classification system based on internet of things and deep learning for advanced driver assistance system (adas)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.084813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9a31929-d21b-4728-9114-4d844a9aa896 · outbound

This paper cites Gemini: A family of highly capable multi- modal models, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Gemini: A family of highly capable multi- modal models, 2024

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.073989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2954039a-fbb4-45d5-a87f-b04dd8aaa782 · outbound

This paper cites Qwen2.5: A party of foundation models, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Qwen2.5: A party of foundation models, 2024

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.063870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2ee8a76-9ba8-42df-b627-373ccf0dfbdd · outbound

This paper cites Induced disgust, hap- piness and surprise: an addition to the mmi facial expres- sion database.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Induced disgust, hap- piness and surprise: an addition to the mmi facial expres- sion database

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.053978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96b16d77-d1c1-42b2-9937-6c6580196ac4 · outbound

This paper cites Cider: Consensus-based image description evalua- tion.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Cider: Consensus-based image description evalua- tion

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.042966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe9dd5c5-1566-4bc3-808d-f1c7e92a8f29 · outbound

This paper cites A survey on the pipeline evolution of facial capture and tracking for digital humans.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness A survey on the pipeline evolution of facial capture and tracking for digital humans

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.028702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f278228a-cd22-4c69-906e-39655cb90a70 · outbound

This paper cites Gross, Kristina H ¨o¨ok, Regan Mandryk, and Petr Slovak.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Gross, Kristina H ¨o¨ok, Regan Mandryk, and Petr Slovak

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.017717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b0fa2dc-26a1-483e-b33e-485eb0196ed9 · outbound

This paper cites Tarsier: Recipes for training and evaluating large video description models, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Tarsier: Recipes for training and evaluating large video description models, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:55.007121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 329bd536-d2db-4793-a525-e6978bf8566a · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.235456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7cb10f3-2000-433b-95c5-bdfcf0a0d9a0 · outbound

This paper cites Vatex: A large-scale, high- quality multilingual dataset for video-and-language research.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Vatex: A large-scale, high- quality multilingual dataset for video-and-language research

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.996676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8365d89e-3c8f-480b-913e-31a5ee19eee5 · outbound

This paper cites Ferv39k: A large-scale multi-scene dataset for fa- cial expression recognition in videos, 2022.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Ferv39k: A large-scale multi-scene dataset for fa- cial expression recognition in videos, 2022

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.985798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17a4cd68-123f-4ab6-a9b6-59c5b94b9864 · outbound

This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.248879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a57c11-57c5-49b9-a415-014a2697bd64 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Msr-vtt: A large video description dataset for bridging video and language

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.253320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9baf577-4213-4296-898f-e4561352466e · outbound

This paper cites Pllava : Parameter-free llava extension from images to videos for video dense captioning, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Pllava : Parameter-free llava extension from images to videos for video dense captioning, 2024

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.842118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b86eb911-55bb-4a55-ad71-570e44686c28 · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness xgen-mm (blip-3): A family of open large multimodal models, 2024

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.262867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a80bd366-e3b8-4c07-bc84-872b9aa404ef · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.270705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7120bbcc-1364-4dbf-9b61-41dc9cd72a46 · outbound

This paper cites mplug- owl2: Revolutionizing multi-modal large language model with modality collaboration, 2023.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness mplug- owl2: Revolutionizing multi-modal large language model with modality collaboration, 2023

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.814951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99cbcbe2-93a1-4092-83f4-6ed80486ba15 · outbound

This paper cites Spatio-temporal convolutional features with nested lstm for facial expression recognition.Neurocomputing, 317: 50–57, 2018.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Spatio-temporal convolutional features with nested lstm for facial expression recognition.Neurocomputing, 317: 50–57, 2018

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.805828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d5ac5bb-0e4d-495e-9633-9bcc71042d74 · outbound

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

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Auformer: Vision transformers are parameter-efficient facial action unit detectors

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.796041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 262d4719-76df-40e9-88b2-d0e486e2a57e · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.285100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ffd1b68-9ee3-4d03-8634-e20268023f95 · outbound

This paper cites Vision Transformer with Quadrangle Attention.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Vision Transformer with Quadrangle Attention

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.289229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9812e6b7-9531-4f92-aa79-f3b95bdc06a8 · outbound

This paper cites Cohn, Shaun Canavan, Michael Reale, Andy Horowitz, Peng Liu, and Jeffrey M.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Cohn, Shaun Canavan, Michael Reale, Andy Horowitz, Peng Liu, and Jeffrey M

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.785326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca82cb7d-5634-4986-921c-5a23b8072967 · outbound

This paper cites Llava- next: A strong zero-shot video understanding model, 2024.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Llava- next: A strong zero-shot video understanding model, 2024

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.774625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e265d731-5a5a-48a6-beac-ca464787be71 · outbound

This paper cites Facial expression recognition from near- infrared videos.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Facial expression recognition from near- infrared videos

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.764001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eace1683-3784-4d4d-a46a-932b0a4d921c · outbound

This paper cites LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.304945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e9c2b1-9476-4ab0-b54c-3afe638013e0 · outbound

This paper cites Deep region and multi-label learning for facial action unit detec- tion.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Deep region and multi-label learning for facial action unit detec- tion

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.751577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d9ec7d2-adf8-4084-9f4a-740fce5b0c11 · outbound

This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness MLVU: Benchmarking Multi-task Long Video Understanding

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.312278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2276db77-201b-497d-a22f-600d3dd25b63 · outbound

This paper cites Towards automatic learning of procedures from web instructional videos.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness Towards automatic learning of procedures from web instructional videos

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:54.739302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30e8f1e5-610c-4d29-a881-238bc6134e5d · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:54.320561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dfbf3f28-6334-4a74-834c-57a2e45d06e1 · inbound

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:02:37.649306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ba63ce5-3dbf-4d8c-90ca-ef657731fb73 · inbound

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO cites this paper.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:22:18.796437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f1f05b9-e8db-4b09-a634-0d7783dd5351 · inbound

LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs cites this paper.

LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:36.541729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260b9555-6759-4738-8c89-c4f26d70f407 · inbound

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding cites this paper.

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:13:16.336074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.