Pith. sign in

Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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=sha256:54efe852c5d3066f99008eb8810077e82ef16e0a103e903a0195045f7abbe926

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=sha256:397385fb5db28f6234ae3e2242e7ba95950c02dfad713b92b0504906a26e44c1

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=sha256:6b6865d98e997fe9413b559154806a7f88d27a749242b70bc14928e8d74af92a

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

source=pdf_text observed=2026-08-07T15:29:59.736285Z digest=sha256:345455275053e3c4aa35a8f28326889692c386d6ad07e81d769b53372449cdf9

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

source=pdf_text observed=2026-08-07T15:29:59.831909Z digest=sha256:a13ca599a16eb19e05528a85c53057e12833c9716935aafec9e5bea934fdb7f6

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:fccd08a90f9b2ffdca1b6abcd1a1ed2eae93c83862d139a8ce09daf07068d588

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

source=pdf_text observed=2026-08-07T15:30:00.041054Z digest=sha256:6ba1d72697c5ecb7ad69df5bdd796d3d06d018107fa8d97be74349db092d8aef

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=sha256:796fbb15b54608e451c0c5c6a7c3dce46d0458d786298a0781a8ab36b1990a65

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

source=pdf_text observed=2026-08-07T15:30:00.237723Z digest=sha256:8a567ca279646c85404673a819f38e006d0924bdce92cdcbc02b27abb7787cc1

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

source=pdf_text observed=2026-08-07T15:30:00.307728Z digest=sha256:ec4cc634f7d1b4800691064cbf89127222c29f4305ee0801f05f84c37f0d4c01

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

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

source=pdf_text observed=2026-08-07T15:30:00.416461Z digest=sha256:cd12690023b56b550743cb05d6bd7ed18ab143e64a0aec546e86f2395202132b

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

source=pdf_text observed=2026-08-07T15:30:00.550900Z digest=sha256:8350f424c94577f672a1e4b1644b66eee53b7f01cdcd78a297c4c1002e7f26d9

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=sha256:1170cbac3d00a98342a0b4ac1ad0170f6d78888217b165552feba94b711a79e1

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:a98077acb6a06c4daea49ddd3f2ab799020a2cc269ed3e13b6abbca0354d8f3c

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

source=pdf_text observed=2026-08-07T15:30:00.765099Z digest=sha256:83d11362845a74ea5efb7346c1e068ce9fd29dfe695a89089e84a09d84c180ff

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:eb1f618d60ad78122365fccf2fb5f329346814d31c638e535d26c235550b5380

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

source=pdf_text observed=2026-08-07T15:30:00.887459Z digest=sha256:58ec3e436729875857cdb3218de1e96bfa027a3715ee98c28788510d4743eb93

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=sha256:42a26177bf6f834b545cf7039ecce71c45a16cfc3446e04b5602a75439c596d5

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=sha256:29fdb4e3a29e3c68c3302247708cba2503725ece383fbdc4a5e019d3ba986f4b

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

source=pdf_text observed=2026-08-07T15:30:01.096430Z digest=sha256:9c116a9019aa46d362a5535b9451b92ae7ccee1b50a9c0d7979507ad180c44f1

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=sha256:153d26b7d59c90ba6cd69ea6b1819db97485ba9f4eb1ae48bf6c338adffbde00

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=sha256:60c9f1d42b01dae4dd6e93d1c2925638d72038789f9b93f88466aa9b514dc0d1

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

source=pdf_text observed=2026-08-07T15:30:01.304545Z digest=sha256:1f6226f6269fb1c3d2720c49f9d186d2536c34d2737c67b4c9561928ca41c9fa

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=sha256:638fd10b3e98ebebceb9b500cb9f04294f787c1c78b62438f12d84a06d4cf98b

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=sha256:66e4cb9ffc27f44970e8f1ede596a18ff67b34a4b8aa26c49e86a56416873079

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

source=pdf_text observed=2026-08-07T15:30:01.511547Z digest=sha256:b31322c7666707a4239348398f1a18a046b05e22b0e5602387ebe3efc44b7d0b

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
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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=sha256:19dd3995d146482d60a86525f83ec6cebf0e4765c41492025f221e13304c596a

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=sha256:9e611295d3a32ef4210e6028c985633aef8a42a02b35e44a365b20c949c51d59

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:ee7430b8f2330a4429324378a57d83a322180e78e00e6656441dddf84f97a43d

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

source=pdf_text observed=2026-08-07T15:30:01.822069Z digest=sha256:3adc2f62fcbb45545e182d6f67807976be82a680289fa41d8241589a760c7293

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=sha256:99ab78d4e19fbeca639bc0536c4c3b7f51e4987b70c20804870bf2c17f7331ae

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

source=pdf_text observed=2026-08-07T15:30:01.978099Z digest=sha256:edfc30c6fb4c321c04a7e4353cb5e3c475f38f859c859ac82d7639d044c7ed5d

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=sha256:2b751fed2421986ff77dfa8c318268300eb2ba29ef34ac714e6f2b1c835c79a5

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=sha256:346d8f5716a1ab3040e4d11b514fcefae3671d2b2bbb6c59af75ff222b63c369

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

source=pdf_text observed=2026-08-07T15:30:02.200799Z digest=sha256:542386b22503bb26339006728a13d56c6a5869720fbb5cdec8a5ec6a82b6d65c

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=sha256:92c260333c58c7635691426fb68a0f94fa015d00e4a5d1895d15dd4f456d55e7

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

source=pdf_text observed=2026-08-07T15:30:02.338980Z digest=sha256:e032e4e5d63ca1370427f3f4581320dee9c71ac08ba7c4f78c2b36f0d472e174

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=sha256:8a2c35fdfb2c0fe89a40ba60c00ad2b7331388c4eb4a1b16687a144a150ea6bb

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

source=pdf_text observed=2026-08-07T15:30:02.465923Z digest=sha256:fd05182a9eae2929c1442ca5ea5803f0f92f80f767c9d1721cd12100e876f99a

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=sha256:47c12606138b303cb626478b5cffb6e8c1f40dbdfbfcb3b01bc81fc7bc112440

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=sha256:0f09926a7d2d4d44d6ec501f68e5068facb3121084e4847db5aeb3ff5a76716c

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

source=pdf_text observed=2026-08-07T15:30:02.709111Z digest=sha256:96bec496a8f7c9cd843555ad309b393c99fa10808d31b3e4088d6c75e5220152

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

source=pdf_text observed=2026-08-07T15:30:02.783706Z digest=sha256:851c43a0bea95a5b6e460e317305c8d389a82dc4ed80ff1c95d925dd6c1a6d15

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=sha256:367c854fbf5f4fe543322acb677616f6bc831faeb171e65b9f8cc47c1b5dbfcf

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

source=pdf_text observed=2026-08-07T15:30:02.908405Z digest=sha256:b94b29b4f8cf87dcc7074ac0b1405277af69571664523cb6e64fb99d023c0e47

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

source=pdf_text observed=2026-08-07T15:30:02.983924Z digest=sha256:1bce2a2c4e884612755f7caa20904be95c03263d93cce4f1d727a6ad6fe66f14

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=sha256:5ebbbdf98328fdde738a145f29f1cfda2428827d725683a5364bef09ebe6af68

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

source=pdf_text observed=2026-08-07T15:30:03.138996Z digest=sha256:16fbf1982c6622f372af5a144ec8afe459c1eeaf15db1641883343536a45d378

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

source=pdf_text observed=2026-08-07T15:30:03.220688Z digest=sha256:435944edf4887ceeb80d82146358f147c4e1d61407add6fa1134858dbaf2444b

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=sha256:6bb48c0a93c857668d3ab0f8fc552bf9818bd75100748a4c95ae1d49d9709bb6

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

source=pdf_text observed=2026-08-07T15:30:03.378293Z digest=sha256:d4af6a9c3f053c5bd63a4b25011ec690f3ac6fc129a0bc207562e48c9299cf02

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

source=pdf_text observed=2026-08-07T15:30:03.457512Z digest=sha256:ee1c68d1a9c60f7e1167ab707413fd1a1d33f2b96217619ba3b82c90301bd0b3

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

source=pdf_text observed=2026-08-07T15:30:03.532471Z digest=sha256:efdef3d6299bdc323a7f91e11e395d0e51085c8378838ad0f503058f9e2c0028

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

source=pdf_text observed=2026-08-07T15:30:03.625333Z digest=sha256:949774be550dac42dfa9083b447e8080e4be9aed5b78df9418ff90a921dd9d28

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

source=pdf_text observed=2026-08-07T15:30:03.702022Z digest=sha256:b768de989779c5528e70003e18183b66e82a94baf80cb8e27d68c14d08d0e96b

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

source=pdf_text observed=2026-05-25T04:52:41.981616Z digest=sha256:bf403ccaae46058996817dc7c89768bfc72bfb583b24551a23f27520475a0b80