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Paper Citation Record · LEDGER

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.10238.

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

pith.paper-citation-record.v1
2607.10238 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:19:32.434729Z

measured 57 of 57 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

57 of 57 outbound references displayed

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Outbound references

Observation f7d1ef0a-56b2-4b75-8e3f-745f66cf022d · outbound

This paper cites GPT-4 Technical Report.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset GPT-4 Technical Report

Reference 1

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Observation d860fae4-d3cb-465c-a5c2-3c1909c5d07c · outbound

This paper cites In: CVPR.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: CVPR

Reference 2

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Observation c8aa46f4-4d47-4332-bf0a-71e80da40c6f · outbound

This paper cites In: CVPR.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: CVPR

Reference 3

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Observation bf1187c7-fc7c-4567-889c-718e9310c22f · outbound

This paper cites Qwen3-VL Technical Report.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Qwen3-VL Technical Report

Reference 4

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Observation 6ecbf33e-aed9-4961-8692-9d3900a77021 · outbound

This paper cites Qwen2.5-VL Technical Report.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Qwen2.5-VL Technical Report

Reference 5

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Observation 0787b8a8-9bcc-473b-b202-fd8dceb1c4a0 · outbound

This paper cites The OMG-Emotion Behavior Dataset.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset The OMG-Emotion Behavior Dataset

Reference 6

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Observation d5c8f3cb-f63a-4b8d-a6c2-0cc827656030 · outbound

This paper cites IEEE transactions on affective computing5(4), 377–390 (2014).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset IEEE transactions on affective computing5(4), 377–390 (2014)

Reference 7

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Observation fdcb8c14-c146-46d0-a4e0-6241386af564 · outbound

This paper cites an unresolved cited work.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Unresolved cited work

Reference 8

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Observation 40a090a5-fa3e-4405-9106-0753829e05b0 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 9

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Observation 714ca589-1539-47b3-a2c9-5f3396873c8b · outbound

This paper cites Advances in Neural Information Processing Systems37, 110805– 110853 (2024).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Advances in Neural Information Processing Systems37, 110805– 110853 (2024)

Reference 10

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Observation 2d3bc2ab-a8ed-48b5-8213-2183af287c87 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 11

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Observation 47e00c1c-55ee-494d-b2c9-b399b6ab6557 · outbound

This paper cites Cognition & emotion6(3-4), 169–200 (1992).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Cognition & emotion6(3-4), 169–200 (1992)

Reference 12

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Observation 2e445607-492a-4290-9fcb-01307252755a · outbound

This paper cites Applied Sciences10(8), 2924 (2020).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Applied Sciences10(8), 2924 (2020)

Reference 13

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Observation 3ff4c8e2-4898-4196-8cc0-3e1008fce1b4 · outbound

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

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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Observation 85112d8e-53b5-45a1-b762-0111313e218a · outbound

This paper cites International Journal of Computer Vision133(9), 6456–6472 (2025).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset International Journal of Computer Vision133(9), 6456–6472 (2025)

Reference 15

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Observation 4900536f-4ba0-4f30-8106-a4acc2c8c2b6 · outbound

This paper cites In: Proceedings of the 33rd ACM International Conference on Multimedia.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 33rd ACM International Conference on Multimedia

Reference 16

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Observation 4b5e44cb-3261-4fb0-aa7f-bbba6f4bb5fc · outbound

This paper cites In: Dynamic Affective Reasoning 17 Proceedings of the 33rd ACM International Conference on Multimedia.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Dynamic Affective Reasoning 17 Proceedings of the 33rd ACM International Conference on Multimedia

Reference 17

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Observation c1df2663-ab2e-46b5-a8f9-aae9ed8a1913 · outbound

This paper cites GPT-4o System Card.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset GPT-4o System Card

Reference 18

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Observation 19a51963-9460-45b4-a70b-61d3bd000ccb · outbound

This paper cites In: Pro- ceedings of the 28th ACM international conference on multimedia.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Pro- ceedings of the 28th ACM international conference on multimedia

Reference 19

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Observation f94ca06f-8bc3-4fa0-9ea7-9c1640c6a1b8 · outbound

This paper cites Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

Reference 20

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Observation 7aebcba0-04f8-4aaf-ae27-505b510dc94e · outbound

This paper cites Image and Vision Computing65, 23– 36 (2017).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Image and Vision Computing65, 23– 36 (2017)

Reference 21

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Observation e6a0caf1-7a0c-40e7-bdde-13ecd9009df3 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence43(3), 1022–1040 (2019).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset IEEE transactions on pattern analysis and machine intelligence43(3), 1022–1040 (2019)

Reference 22

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Observation 28343a79-717b-44c5-bf69-a038d2e1e415 · outbound

This paper cites International Conference on Machine Learning (2025).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset International Conference on Machine Learning (2025)

Reference 23

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Observation 846bca99-f94f-4e88-a782-9f3504c74a87 · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Multimedia.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 31st ACM International Conference on Multimedia

Reference 24

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Observation 062755ba-7c2d-46fa-b257-58ad90db10e1 · outbound

This paper cites In: Proceedings of the 2024 conference on empirical methods in natural language processing.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 2024 conference on empirical methods in natural language processing

Reference 25

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Observation db3a6c19-73c8-4394-99cf-bb5a93227fb3 · outbound

This paper cites In: European conference on computer vision.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: European conference on computer vision

Reference 26

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Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Unresolved cited work

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This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 28

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This paper cites Advances in Neural Information Processing Systems35, 18571– 18585 (2022).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Advances in Neural Information Processing Systems35, 18571– 18585 (2022)

Reference 29

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This paper cites In: CVPR.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: CVPR

Reference 30

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This paper cites In: Proceedings of the 13th annual ACM international conference on Multimedia.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 13th annual ACM international conference on Multimedia

Reference 31

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This paper cites In: Proceedings of the 57th Conference of the Association for Computational Linguis- tics.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 57th Conference of the Association for Computational Linguis- tics

Reference 32

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This paper cites In: 2013 10th IEEE international conference and workshops on automatic face and gesture recognition (FG).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: 2013 10th IEEE international conference and workshops on automatic face and gesture recognition (FG)

Reference 33

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Observation f40ef9c8-7c1c-48ba-86e7-55cb818aaf69 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Proximal Policy Optimization Algorithms

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Observation 5e62994d-3994-478f-830a-ed17e1b70daa · outbound

This paper cites IEEE Transactions on Image Processing33, 1122–1135 (2024).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset IEEE Transactions on Image Processing33, 1122–1135 (2024)

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This paper cites In: Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants! pp.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants! pp

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Observation 133e8e5e-c680-41f3-a212-99dd18debd81 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering (2025).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset IEEE Transactions on Knowledge and Data Engineering (2025)

Reference 37

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Observation dde3f29a-8623-4724-adb6-c332e23f982b · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 38

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Observation 3ed1d55a-3c59-45c7-b3fd-9f1272e88f58 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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Observation b8a118ed-534f-4e14-83a3-cdd59a32535e · outbound

This paper cites Research in organizational behavior18(1), 1–74 (1996).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Research in organizational behavior18(1), 1–74 (1996)

Reference 40

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:81290d4ff4efc7062fbad23ab0d01a6f9af8e3ac806761a8ed8a0544d7590eaa

Observation 0022e34f-8138-4f39-9be8-628d44a2c994 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 41

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:756b1345e172adb076e8b9523ad2fdecfff8cf15139acab9ffbfb08cc31133e4

Observation dc199d9a-fbb7-41c1-b1da-cdf136d23726 · outbound

This paper cites Qwen3-Omni Technical Report.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Qwen3-Omni Technical Report

Reference 42

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:3773e7791a54b6fd43f6c7bae98954f3e3ad5ba4b2c065569f8bfaca9d515130

Observation a39a6dfe-b6f3-4f4f-8fab-60d5b7befe73 · outbound

This paper cites In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Reference 43

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:c0e68d0367468731be56a8d8367204f415fddb87a8a6cf3ad9b0bd4cd32616c1

Observation 0a757379-9781-4da4-9f06-3b11acd9c12a · outbound

This paper cites IEEE Transactions on Computational Social Systems (2025).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset IEEE Transactions on Computational Social Systems (2025)

Reference 44

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:51e212bc6d15220132edb47df1ab7fca1eb742d3cbac33dbe1a3ff0270bfa321

Observation 93955256-7189-496f-8675-7af499e2a61b · outbound

This paper cites Com- puters & education142, 103649 (2019).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Com- puters & education142, 103649 (2019)

Reference 45

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:9ed0c59e57ea4d466d0a1549397926429122b2ef4ba86d2e9a1d458635081117

Observation ace7b6aa-a622-462d-b331-891120ce4986 · outbound

This paper cites Qwen3 Technical Report.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Qwen3 Technical Report

Reference 46

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:dc742b606a25bf3e129946261fcf0e8c645d3f044d804beff5bc6f4cff94f014

Observation 531d439b-0507-4723-864d-867de88ab61c · outbound

This paper cites IEEE Transactions on Pattern Anal- ysis and Machine Intelligence (2026).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset IEEE Transactions on Pattern Anal- ysis and Machine Intelligence (2026)

Reference 47

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:1f12772a593991a5ec5af16c7a6a560c5d54aa01bb3a5597e0ae8493f1511e74

Observation 2971ac28-61aa-41b9-9cee-45c75f86afce · outbound

This paper cites an unresolved cited work.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Unresolved cited work

Reference 48

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:e7c7ac46054dfaac047d4577cc12a47c0db70c45179cc73775c99c6182f44bc6

Observation 0ad42a5e-54a0-4eb8-be75-f6e7f08771f8 · outbound

This paper cites In: Pro- ceedings of the 33rd ACM International Conference on Multimedia.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Pro- ceedings of the 33rd ACM International Conference on Multimedia

Reference 49

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:e69a94974b23b1b5e4d477ea4c1bacc0c02f0d910c732a083ba98baef31d3824

Observation d7bfbeee-4f02-42c4-9e21-e4b35f0c5da9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 50

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:5dfb6e10c534dd0feb318072a2c3d4c9e720862571385cc746c0c0be54712e85

Observation 328208e1-9fee-46f0-b977-7b5095c7cbe4 · outbound

This paper cites International Confer- ence on Learning Representations (2025).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset International Confer- ence on Learning Representations (2025)

Reference 51

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:e3add1e5e0e522d76c9893bd7b4a13fb5f554126e72445936cbf2008bbba6f57

Observation ab89718f-12d3-4665-916f-422e229fc409 · outbound

This paper cites Advances in Neural Information Processing Systems (2025).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Advances in Neural Information Processing Systems (2025)

Reference 52

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:19be0e4a418cc9fa63c529ef4f3306aa603246c266046eb064498ed67aa0d3c4

Observation 89aece8b-c2f9-44b4-a4da-02ec359555fb · outbound

This paper cites In: ACM MM (2022).

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset In: ACM MM (2022)

Reference 53

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:94e757de8ccdd6970fafdda598b0ae0dd02c7340b2d1d08b74b792387df49d93

Observation fc48a40b-db66-4973-b450-9b8b080f1202 · outbound

This paper cites start_time.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset start_time

Reference 54

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:e07eefa21bfcd08a32d873f4b4e6b974021da50fec46e514b6fdf17536222161

Observation c7ff2bcc-15d5-4689-abbb-7dfa65d7c0ff · outbound

This paper cites an unresolved cited work.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset Unresolved cited work

Reference 55

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:0f78931184bee5fd4e18eb414fb6197fbd8f522b689b4f2ba96cb426d9c31ef0

Observation 8191b68d-828c-4150-8a0b-78d12915a622 · outbound

This paper cites What emotion would a viewer feel in this segment, and why?.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset What emotion would a viewer feel in this segment, and why?

Reference 56

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:67f247b07b91f17610dd30c5bea9fdfe69fc99766806f3c85303ff28345806eb

Observation 8c87b32d-9122-41ca-b5ea-32b340699069 · outbound

This paper cites score": <integer from 0 to 5>, 24 Z. Zhang et al.

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset score": <integer from 0 to 5>, 24 Z. Zhang et al

Reference 57

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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:70d8646338ddd9e36b000cec1714ba355a5d700861fb0e921b78b5a6819d151a

Pith citing papers

No inbound Pith citation observations are available.