Pith. sign in

Paper Citation Record · LEDGER

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2505.17090.

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

pith.paper-citation-record.v1
2505.17090 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:03.702022Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T04:52:41.981616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:55:23.628724Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact3
  • verified fuzzy21
  • unresolved30
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2f6c73f-2372-44a3-b160-0537fb465047 · outbound

This paper cites MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens

Reference 1

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no resolver link, observed 2026-08-07T15:29:59.428434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:59.428434Z digest=sha256:f001c2d2f026c8dceb28e82fdda867da85243a546d8b8076df06d8ab486e0421

Observation 041d0a2e-8201-4acc-b67b-8dc9c6137635 · outbound

This paper cites Qwen2.5-VL Technical Report.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Qwen2.5-VL Technical Report

Reference 2

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no resolver link, observed 2026-08-07T15:29:59.519673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:59.519673Z digest=sha256:8eafec716b20ccfaf3ee076f9acac25549caa6c77ad801837df85a55d9aab577

Observation 601aef98-c094-4021-9bb8-cca8376267ca · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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no resolver link, observed 2026-08-07T15:29:59.608050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:59.608050Z digest=sha256:6196a350336521d6de389c8d4271eed0735e0345d950e8a6e841d114694dc225

Observation f1a67b60-2e22-4092-92fb-d589e6100502 · outbound

This paper cites Openface: an open source facial behavior analysis toolkit.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Openface: an open source facial behavior analysis toolkit

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:08.337388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:29:59.736285Z digest=sha256:f9742700fc4907f814d2b98bde9200d96ac47ec7060b0d165fb24cee19aa2d2f

Observation 6eaaf614-fb10-47af-b08e-e7bca10d4cfc · outbound

This paper cites Sign pose-based transformer for word-level sign language recognition.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Sign pose-based transformer for word-level sign language recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:08.194062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:29:59.831909Z digest=sha256:2af362e52c032a9e7555093225f7475fcb880d9e517fced9202daa461cf1066c

Observation fe0fde76-831e-4ca8-b861-30fac383167d · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database.Language resources and evaluation, 42:335–359, 2008.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Iemocap: Interactive emotional dyadic motion capture database.Language resources and evaluation, 42:335–359, 2008

Reference 6

Resolution
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no resolver link, observed 2026-08-07T15:29:59.965311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:59.965311Z digest=sha256:d839982c5eccad2b22244824ddb308abac2e71a37efaf76a701168fda139d715

Observation ccedc296-ee90-4a99-820a-9f4360b4fad4 · outbound

This paper cites Multimodal sentiment analysis with word-level fusion and reinforcement learning.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Multimodal sentiment analysis with word-level fusion and reinforcement learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:08.068564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:00.041054Z digest=sha256:2042fe1e31ac0819ae586bba08db29d0e71f18d1c1d1df4611472470e514427f

Observation 54f4f0a3-be67-4492-a5a9-ff14ac46d9dc · outbound

This paper cites Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning

Reference 8

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no resolver link, observed 2026-08-07T15:30:00.144663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:00.144663Z digest=sha256:24aea86de10b4a18fb927849bc181d8053130e61c4f9867285665d8a9ed40bb5

Observation 6c6c1fbb-6b15-458a-86e2-76a85175823d · outbound

This paper cites Perspectives on Capturing Emotional Expressiveness in Sign Language.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Perspectives on Capturing Emotional Expressiveness in Sign Language

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:30:04.646878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:00.237723Z digest=sha256:b5ebc41389b3bf401953225a6971552cec46e369a152f0ba8c8513489561fd01

Observation 377474c0-b06a-492e-a5b5-836ea679a9ad · outbound

This paper cites University of California, Berkeley, 2014.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language University of California, Berkeley, 2014

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T15:30:07.935497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:00.307728Z digest=sha256:41f2ae99654061f9b0a1ba3079b2d48d6d6f25e1abd7f5378060dbd67af60f88

Observation 71669260-6444-4a7d-8d38-402ca8dc5281 · outbound

This paper cites Self-report captures 27 distinct categories of emotion bridged by continuous gradients.Proceedings of the national academy of sciences, 114(38): E7900–E7909, 2017.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Self-report captures 27 distinct categories of emotion bridged by continuous gradients.Proceedings of the national academy of sciences, 114(38): E7900–E7909, 2017

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T15:30:07.798937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:00.416461Z digest=sha256:67e0bb8a941d0bb9b4d018c6012ad94c939a04f9aa82cde3f1c4f9b9b8496e30

Observation 07420c47-11aa-4405-9ba1-49d2671ca540 · outbound

This paper cites Prosody in the comprehension of spoken language: A literature review.Language and speech, 40(2):141–201, 1997.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Prosody in the comprehension of spoken language: A literature review.Language and speech, 40(2):141–201, 1997

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T15:30:07.681886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:00.550900Z digest=sha256:92a93cb66e7974c7f135c2636d5196ddee73ae2da38da4609f256d198efee257

Observation ff99d8de-c4d3-4962-890e-63deac64474a · outbound

This paper cites How2sign: a large-scale multimodal dataset for continuous american sign language.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language How2sign: a large-scale multimodal dataset for continuous american sign language

Reference 13

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no resolver link, observed 2026-08-07T15:30:00.641079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:00.641079Z digest=sha256:a9c1412295464fb3b59107d29e1ab7165f7ed6aebddb6962a4299caf0b364ffc

Observation dd19aadf-6a6e-490a-908f-9a216504656d · outbound

This paper cites An argument for basic emotions.Cognition & emotion, 6(3-4):169–200, 1992.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language An argument for basic emotions.Cognition & emotion, 6(3-4):169–200, 1992

Reference 14

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no resolver link, observed 2026-08-07T15:30:00.705511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:00.705511Z digest=sha256:93806bfa8e8ce868cb3aae8ed959c02234e6cc657d603f7b4fc034b3d58579a3

Observation f33ef3c2-5a59-4ef1-9da6-78714407f394 · outbound

This paper cites Facial expressions, emotions, and sign languages.Frontiers in psychology, 4:115, 2013.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Facial expressions, emotions, and sign languages.Frontiers in psychology, 4:115, 2013

Reference 15

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raw_fallback, observed 2026-08-07T15:30:07.520265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:00.765099Z digest=sha256:8fbe6944cc60f679c5124007e6af8cc412a0c88c1612e5719a24c8f715282e8e

Observation 30d5a90d-052b-473e-8b97-bbcd169836ea · outbound

This paper cites SignLLM: Sign Language Production Large Language Models.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language SignLLM: Sign Language Production Large Language Models

Reference 16

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no resolver link, observed 2026-08-07T15:30:00.820749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:00.820749Z digest=sha256:d215c7345400b488537516352376a50e1cbef49e8b2ec04e69592c3b75f936d9

Observation cc7dcd43-edfa-438b-b94f-e4b542d30b4c · outbound

This paper cites Perception of emotions in the hand movement quality of finnish sign language.Journal of nonverbal behavior, 28:53–64, 2004.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Perception of emotions in the hand movement quality of finnish sign language.Journal of nonverbal behavior, 28:53–64, 2004

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:07.390454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:00.887459Z digest=sha256:cca18f6f6166c57f997d76d3dcb526b259b8fd1f5eb76102e800361eb3ecf4e0

Observation 97f8cf7f-6634-4325-b234-c3c55bc05a5f · outbound

This paper cites The Platonic Representation Hypothesis.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language The Platonic Representation Hypothesis

Reference 18

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no resolver link, observed 2026-08-07T15:30:00.958293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:00.958293Z digest=sha256:b028df3767ec0a7823253e4d525d17d4ef4510f4d58f4879bcfcc26d13369231

Observation 8089c1ce-b1cd-4b13-a64f-e8d614cbd4d7 · outbound

This paper cites Vader: A parsimonious rule-based model for sentiment analysis of social media text.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Vader: A parsimonious rule-based model for sentiment analysis of social media text

Reference 19

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no resolver link, observed 2026-08-07T15:30:01.039674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.039674Z digest=sha256:0d6018af29a7de31619e497bb7effd4e53fd535e062a3f8eb7c56c5dfb512d4f

Observation 01ce1b56-b59c-49af-80cf-297431ff3c2d · outbound

This paper cites they’re not willing to accommodate deaf patients.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language they’re not willing to accommodate deaf patients

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:07.224575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:01.096430Z digest=sha256:e800bf3eb522983bf4d0e520f3e285c55b3fba80f21cfaf0834840a832523a6d

Observation 7beef794-9a64-4328-abac-a153142fbc0a · outbound

This paper cites Dfew: A large-scale database for recognizing dynamic facial expressions in the wild.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Dfew: A large-scale database for recognizing dynamic facial expressions in the wild

Reference 21

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no resolver link, observed 2026-08-07T15:30:01.155901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.155901Z digest=sha256:5d964314d5429fe88d2573d66f4a99331bb654bda21fe7dc74550b1fd92a40d4

Observation a02217cc-b16e-4af1-a124-4d5703e17078 · outbound

This paper cites MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Reference 22

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no resolver link, observed 2026-08-07T15:30:01.229565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.229565Z digest=sha256:5d5ef58e9d203531f1a2e281d4e15bf703abf8148775f43f34df6c84b8578bb6

Observation fc13ea44-bbc9-4b3c-a45d-9f056ee320a5 · outbound

This paper cites Context-aware emotion recognition networks.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Context-aware emotion recognition networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:07.042020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:01.304545Z digest=sha256:ee2494df144483a81c4958e9bd52e715fe11df1f6186e53f99a9c4ee4d6f91da

Observation 91d16b9c-6aa1-4f01-86d1-298dc03f1cac · outbound

This paper cites EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model

Reference 24

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no resolver link, observed 2026-08-07T15:30:01.374418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.374418Z digest=sha256:4c5b79b12838e524d430077dc20c441aa0cf4e410ce9afbec1dad7404f5fcbd7

Observation a91e881e-6c55-4c56-8666-2eac6267dcfb · outbound

This paper cites Mimeqa: Towards socially-intelligent nonverbal foundation models.arXiv preprint arXiv:2502.16671, 2025.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Mimeqa: Towards socially-intelligent nonverbal foundation models.arXiv preprint arXiv:2502.16671, 2025

Reference 25

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no resolver link, observed 2026-08-07T15:30:01.439837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.439837Z digest=sha256:4946cc38688e2ae3c5044a96cc5248e7b0dc652b2fde4146dc0d81fc3b52c020

Observation cf3b454f-89da-4970-bcf6-77b1ade2461b · outbound

This paper cites Mer 2023: Multi-label learning, modality robustness, and semi- supervised learning.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Mer 2023: Multi-label learning, modality robustness, and semi- supervised learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:06.932678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:01.511547Z digest=sha256:58c36e75888eec2d4aa30ab9c6b1b96cb272d1c0dd35c055f2a9b451dded8f33

Observation 2709bacd-1e47-4e65-b0df-341064a66a43 · outbound

This paper cites AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Reference 27

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no resolver link, observed 2026-08-07T15:30:01.599045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.599045Z digest=sha256:e6a8a2fde6c8a354546d26344cd0d0bff3f3ad1b471f584c1b0c0df1439ff405

Observation 14810b1d-e5e9-46e4-b548-82fe42ff0b8e · outbound

This paper cites LLaVA-SLT: Visual Language Tuning for Sign Language Translation.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language LLaVA-SLT: Visual Language Tuning for Sign Language Translation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:01.669077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.669077Z digest=sha256:a16ca7c9a4f1f657853e7f9f1b3d6ed1419d78a1b7b5cc3e4ff852d3a35ec330

Observation c7274a0d-2748-43f9-8c94-f50fc60536af · outbound

This paper cites HEMM: Holistic Evaluation of Multimodal Foundation Models.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language HEMM: Holistic Evaluation of Multimodal Foundation Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:01.743465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.743465Z digest=sha256:550ed60a9391b841a52c138fd543070c29d0b326a98cc77b13b288f400dde45b

Observation 9724b48a-a784-4ca8-8cad-5c3bb7dc2ffe · outbound

This paper cites Exploring the Impact of Emotional Voice Integration in Sign-to-Speech Translators for Deaf-to-Hearing Communication.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Exploring the Impact of Emotional Voice Integration in Sign-to-Speech Translators for Deaf-to-Hearing Communication

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:30:04.170294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:01.822069Z digest=sha256:a09add2a63ae24af36729475499b3d8f4569081f7ce811ccc2efccf8a21c9649

Observation fb466e14-4687-4d61-910a-667e4b16b3df · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Improved Baselines with Visual Instruction Tuning

Reference 31

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unresolved
no resolver link, observed 2026-08-07T15:30:01.881209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:01.881209Z digest=sha256:06003c429d1b25dbe6ff1e04b5330fe91291cf2bddc4eba47de5dbd0132bdaeb

Observation fd826690-b581-4ec8-b550-f3b7a22e6ccb · outbound

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

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Mafw: A large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:06.771715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:01.978099Z digest=sha256:da5597f5512da7fe7b72eb634cc513ba4371cdee508ffdf997667f22abec452e

Observation fa03a2b8-92fd-4ae8-afab-9bee14f50ef5 · outbound

This paper cites emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Reference 33

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no resolver link, observed 2026-08-07T15:30:02.058069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:02.058069Z digest=sha256:ffe1870baa31b717cc4fd7d6e9a31ded83058ff515e293a60d8a17d43c63bfd5

Observation c80be57d-f1e7-4c28-be73-de26a3900eed · outbound

This paper cites Morevqa: Exploring modular reasoning models for video question answering.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Morevqa: Exploring modular reasoning models for video question answering

Reference 34

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no resolver link, observed 2026-08-07T15:30:02.120622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:02.120622Z digest=sha256:480e10e31f6b6627e49539604596cdd2fb84bf0f574e23fe51e704df71cf71af

Observation d442b20e-5101-4606-a493-6bc554c89cc1 · outbound

This paper cites New shared & interconnected asl resources: Signstream® 3 software; dai 2 for web access to linguistically annotated video corpora; and a sign bank.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language New shared & interconnected asl resources: Signstream® 3 software; dai 2 for web access to linguistically annotated video corpora; and a sign bank

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:06.629685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:02.200799Z digest=sha256:1dd019cab46f2dd6c8923c1f0f84ae6c25eccd8114aae8b3aafa9bef91b0eb5f

Observation bc3d9048-db66-420f-81a3-f5c205e2f08a · outbound

This paper cites ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP).

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:02.267537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:02.267537Z digest=sha256:675e870404a2169006633d2d0c3b8538a7a312d0088916e9f8adde80c1e30963

Observation b328c3f2-233d-4d5a-9ed2-5207ac5577d2 · outbound

This paper cites De Gruyter Mouton, 2012.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language De Gruyter Mouton, 2012

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:06.505195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:02.338980Z digest=sha256:768eff2872bfa431061dcb62a142daa143048281396e4d976e6c3e22ade9684e

Observation 18a472da-0eb3-43ad-a503-d4395e809cec · outbound

This paper cites MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:02.422904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:02.422904Z digest=sha256:3eef7c25b208808837064a300ed183636957baa237c9ff224ca4f8748475a23a

Observation 32925ab3-63df-4710-8751-cb8c804e811c · outbound

This paper cites Affective prosody in american sign language.Sign Language Studies, 75(1):113–128, 1992.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Affective prosody in american sign language.Sign Language Studies, 75(1):113–128, 1992

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:06.350857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:02.465923Z digest=sha256:6c436b003a8084823c3ac3e9dd2e9e1c4e1450c9ea60e5be751e6941bfbeb908

Observation b0ec4c9a-b9bf-45ed-8a48-86caae2f8873 · outbound

This paper cites A circumplex model of affect.Journal of personality and social psychology, 39(6):1161, 1980.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language A circumplex model of affect.Journal of personality and social psychology, 39(6):1161, 1980

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:02.550950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:02.550950Z digest=sha256:78f6d003f865b83af5a200a489a0d3808f30c97076e3efa1c454ce4d16965c82

Observation 38282ae4-b796-4fe1-92e9-f058be1d36c0 · outbound

This paper cites Open-Domain Sign Language Translation Learned from Online Video.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Open-Domain Sign Language Translation Learned from Online Video

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:02.619890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:02.619890Z digest=sha256:0b7cce0d87a244287c43a3e7708745d393a036dc8c8e9f58639e2cb229cf2de8

Observation 91aa7793-6297-4183-b10c-f07d6a0c48ca · outbound

This paper cites an unresolved cited work.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:06.212504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:02.709111Z digest=sha256:d860ef10c0b4fe4d3ab5396188da63cb55d09da87ae196f8e6a8d21c0c7d6fc5

Observation d2930ab4-1496-42c8-b0f3-345032b283f7 · outbound

This paper cites Roberta-lstm: a hybrid model for sentiment analysis with transformer and recurrent neural network.IEEE Access, 10:21517–21525, 2022.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Roberta-lstm: a hybrid model for sentiment analysis with transformer and recurrent neural network.IEEE Access, 10:21517–21525, 2022

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:06.075855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:02.783706Z digest=sha256:1b1dcd8d080884c15f7b189242450335e2589a7bfc54cf386e22d117f337a604

Observation 03a1d710-1288-4ae3-b174-7e61b536bcb6 · outbound

This paper cites Youtube-asl: A large-scale, open-domain american sign language-english parallel corpus.Advances in Neural Information Processing Systems, 36:29029–29047, 2023.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Youtube-asl: A large-scale, open-domain american sign language-english parallel corpus.Advances in Neural Information Processing Systems, 36:29029–29047, 2023

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:02.820602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:02.820602Z digest=sha256:66c5fc6ed2d74796b335e11dbb4558f6c8da4defa80bac417718237258c43f5f

Observation 8facebb7-cef4-4275-95ae-d1d0a269ceaf · outbound

This paper cites Gallaudet University Press, 2000.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Gallaudet University Press, 2000

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:05.876738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:02.908405Z digest=sha256:2341822eccbd593e895c64e68d55536dc6a5040db428c7934b8208900dccec6f

Observation c0f19a77-92f7-41b4-80c2-50dedd5c7b13 · outbound

This paper cites The future of emotion in human- computer interaction.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language The future of emotion in human- computer interaction

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:05.741736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:02.983924Z digest=sha256:9dad9473d6b6beb61359ee0ef0542d202ab829ee5c0501404e23cde86a392a61

Observation b1fa4f4d-26ae-4695-95eb-3caecd5dd4f8 · outbound

This paper cites Can i trust your answer? visually grounded video question answering.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Can i trust your answer? visually grounded video question answering

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:03.052507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:03.052507Z digest=sha256:d5d101ef891d3ecf6b031b641258d42466d68855eff621a97a1695d843fb97c7

Observation 42b5fcdc-d589-4e96-8077-ef34bd93caab · outbound

This paper cites Detecting depression severity from vocal prosody.IEEE transactions on affective computing, 4(2):142–150, 2012.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Detecting depression severity from vocal prosody.IEEE transactions on affective computing, 4(2):142–150, 2012

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:05.617887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:03.138996Z digest=sha256:2d90691d4a4c72b5191d7b527d7a8b423953d407882a9cfdb39fddbc8af41ea6

Observation 124c3081-0d87-4db5-96c9-a67dd5d6269d · outbound

This paper cites ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:30:03.898781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:03.220688Z digest=sha256:7579299cf1c3ac93f43fcd51a6c7df20a69c3066a055c7df1976d3deaa5c8321

Observation 8eb1f1a7-95f8-4b1d-859e-18e2aa976da1 · outbound

This paper cites Tensor Fusion Network for Multimodal Sentiment Analysis.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Tensor Fusion Network for Multimodal Sentiment Analysis

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:03.301698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:03.301698Z digest=sha256:17ef7471e9974d50194a9146beae2b2c4aec98028b0a6a6a5bdda4e35f0577dd

Observation e1d5c81f-7cff-4838-84c3-73b809968df6 · outbound

This paper cites Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph

Reference 51

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T15:30:05.437269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:03.378293Z digest=sha256:48c693b2ac66a578cca81b745f3f6cddbe9a4f5e41e0cc9333df541f44a93757

Observation 25ba6666-8621-48dc-8f36-80a24780120d · outbound

This paper cites filename.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language filename

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:05.274566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:03.457512Z digest=sha256:58ce9da7c7385e68eaac0d63a70a5cda42e2096b9c686885aeac7ef2659076d8

Observation 904be561-1b41-45a6-9b2d-b180f7581823 · outbound

This paper cites an unresolved cited work.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:05.141605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:03.532471Z digest=sha256:31bac3874a6766d6a744a1abba2d8e4934631fd59fc685c2ba0fa4fb5b109d04

Observation eabe1079-bb44-4f81-9475-9eaf47f832f8 · outbound

This paper cites an unresolved cited work.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:05.006225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:03.625333Z digest=sha256:1aaa9d799717aa038ca6fbdc480db124d19637b11c9fd79d5db87af988430561

Observation f168e2cb-7a86-466d-b70b-d6a7a168413d · outbound

This paper cites If Mary gets home late, John will probably be upset.

EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language If Mary gets home late, John will probably be upset

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:04.873498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:30:03.702022Z digest=sha256:c1291d5b8f4a7f0a0c6850818229ec05b5fdcc5b7c1411d9b729bf54f4715917

Pith citing papers

Observation 42e2ddd3-c450-4355-bf55-9aeee5b1be02 · inbound

Emotion Recognition in Sign Language Conversation cites this paper.

Emotion Recognition in Sign Language Conversation EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:23.631848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T04:52:41.981616Z digest=sha256:946f82e416efb44d7eb68f2f9db9437e5bb8e35ebf8a2d5500ee90f076b2f6b1