Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:46f1e1bd89c375e7eb51a3a6ea7109ee97c5d249e11dc82cd0b4b10bbd583dd5

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=sha256:88f46e4d8cf1ac3563f99eb5cefe21eb75cbae4196cd3211fbfe94d56d4a546d

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

Resolution
unresolved
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:c0a9b87b63514f69db709e9480403a50b9c5115044ba34c087d8a2ea9d0f1a77

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:29:59.736285Z digest=sha256:b5919272aff42a26fb757be7915db6495c1c6ef60e995a253c62f45cfd94df77

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:29:59.831909Z digest=sha256:3e9f3242812c30c988fa2aec3b90baac717ea2915c06c12a2376fd3e9687722d

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

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unresolved
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=sha256:27f14c6d586be3b27903cbdc15c7d950af9fde7cb22bab663a5f9d1846498b62

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:00.041054Z digest=sha256:38729f45b751df0f9cf5229d2264536d903fcc19d54bb767105c29923dc0a40c

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=sha256:2bec97c26e22b9cf37c1c98fd2478159868cc0749d0d7673bd2444b77c0ff20e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:00.237723Z digest=sha256:ce8b67490c9827cca2f90b692d9dcc2661e03e95562d2492e08a1ba835d3c141

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:00.307728Z digest=sha256:7bc7031b38d628f8913e6c3ad2a709aae3b9b23f1a134d9a63be66acb0daa2ef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:00.416461Z digest=sha256:e1e4e2e4399dac15f762903143e52ca22fb0c2a53c6db4c9337661fd48fae6ce

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:00.550900Z digest=sha256:32d0615787db3a314f6e8f48a9d558a1b678fc2311e2a211e05763c5fd353bed

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

Resolution
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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=sha256:17f7c49c264e637f2ae28f48a3832b21b0b65c4c5a7a13261129af7d41b8bc70

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=sha256:8720fabdf048dc50cfceb1422b676cc8aab588f45f81bc90eeb48ec517626567

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

Resolution
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:00.765099Z digest=sha256:059628e105196492f430c72bf1f5f19376358cd82c6db7a865020cc7e9ad4ad3

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

Resolution
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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=sha256:5f06a53baccaa8fc31137de6316e5369b538aa8f9aa9bfd822253e49bc1426bf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:00.887459Z digest=sha256:045fa4c7dad6cb96013fb538e2fe900dbf87839d5ca609ec6cef9787bfadfb14

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=sha256:12529aa2f997e2745174a50f723c8ada8516991fb6249a3ff1eb4d6f054d4fd9

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:e928f0f43f96800964648af87f5f40ba3bd76752faa0f369901073484643d97a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:01.096430Z digest=sha256:f2b2f69a0dab3fd065bc23b34bde31a7685c2ef91073882cf99a8d3202070a3f

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:f567b214e59a2e81dd45a38c744f6b825c509564e2ad14be840b660c6c9a4050

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=sha256:23641709ca1542c139c2945c1a2239c461a1ce350981a2bb650668e4acb3f8d7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:01.304545Z digest=sha256:761a9894c2c15efaa706d9b54120f62a59f74cceaaf79e5f4a59d41a4597ecef

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=sha256:4b14d68585fce47b594e3e659ffc5e2181c5a18bad2fa105e40978c8cb8a1235

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=sha256:5ec6ed65dca820c3fa76ee538ac10d245982dc437ed0dc95a159cf0091f96de2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:01.511547Z digest=sha256:9293aabd98203d729c813177103fc0d0b6d2296d87916fc709f40f000db6d6c3

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

Resolution
unresolved
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=sha256:2263db15e5fdb9f6b1be7190988fded166f46b4dbcc98fbea767131d62685610

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=sha256:44efe4f2c0dee014af0a9d599dbc6aee8995e858c9d366cb748851ad609eccea

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=sha256:68c80a181a6c8c3886390df0fb52c8bf95aac80387579304f98793df80d54e10

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:01.822069Z digest=sha256:a79255f94bfd116327553299af575dda25844292483554805a767a5a752ef4a4

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

Resolution
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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=sha256:0491cb62ede9394da1043e0a5fc90c1ab1ffd84adb2aee53b618ce164f7eba59

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:01.978099Z digest=sha256:00c7420d6ef653c0dc4fc2d307a22540af3a63f1b562ce46a8c75998ba081229

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:be3a51e7b5c96918d1d13e497543da999214c222cccda112281fa7f540713278

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=sha256:84aec9c0426d4e9c6a51f0777567de380dafeee34e542de31bc28c9f3402e30e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:02.200799Z digest=sha256:c351dd130874582a192cf5e60d6fbed55513a86f73c0d593242eb2cb104e9b85

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=sha256:7fdb5109cc9ea19295738ccc1933590c91261842068919adbdd746b749f0363d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:02.338980Z digest=sha256:991ba9ec62123ca98686e31a4dd69771755b3bed2bbf8e3a712d28d3e0b7926f

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=sha256:4fc28b9fbf63d3efbee791e138ce94ea21fb6a49a4921f4d388212494b6b15e0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:02.465923Z digest=sha256:b3706c021cf0eaa56a9844cf489d2929ec0cf7eff7ca18da2f2362ecf01baa37

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:cddd3f0110b1316d877b5433f6b623409733a7ee9b5b41c60db6f38d3cee9ab0

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:bb43094d67b244a7644b38613dcac340fd9106d700029e46f249424e8e3afac6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:02.709111Z digest=sha256:d752c1f4ff9cc5d678dff3ab5e5f800ff97775d9b3596299d8cffa3cb4134aed

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:02.783706Z digest=sha256:373ec0cd61cff124fb3b0b968870267c24ba584e1890b5c5395f53341a998f22

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=sha256:81133605666e2a09b666c742c579f6b8ee75d845a7c64bb62a536772eff9d9ab

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:02.908405Z digest=sha256:9b027c6758e345aebd312d9376fedf100a6161dff9acc7bfdfaf2c3da923b2f0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:02.983924Z digest=sha256:31295f8f79f4aba62ffecdcfac33b33c7ee0e713a4c2f327cd88a55cddb1a8a9

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:e9453b1cf526f12e0e9ee1bd5ddd8e9dd09cf54d5eaa0c8897ba94ebbc51132e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:03.138996Z digest=sha256:3d4ee15316481bd4d449e8c735f75d23108ddb338ee5a7b4d6450a56438eedc9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:03.220688Z digest=sha256:d6d207f2df4588681a771420875dc66fe7cda3ccc83814f1a149d17b91caa423

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=sha256:769ffed659309dc682ca59cfba8dc8f8b1234514523bce9d2e9acc9e78d2783a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:03.378293Z digest=sha256:8307c789a9a2bf0d2cb7bc756d0584d25911fb5087c9fc7b317b92aaeaa63089

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:03.457512Z digest=sha256:e2433b1848d00b2abb6bd5678336937631c942b9a5bec9806519fbfd7b9fb255

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:03.532471Z digest=sha256:ea3699dd75e50884e432f6514f0e5ac3b7f4a04521768ef1ea02180e5b543459

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:03.625333Z digest=sha256:f75abcbe9711972d1d8b42b1a1d7195ca1d1902b9d8b7e3d2b38fbacb5661d10

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:03.702022Z digest=sha256:5f10f316a5c7811e55c3812e34c36d3e7b0a04e5b4181bde955c259237427a93

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T04:52:41.981616Z digest=sha256:7d1c503a94d0aa43ba56173f46ddad1166dbba60a91a061da2aac86c65be446b