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Paper Citation Record · LEDGER

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

As of 5 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

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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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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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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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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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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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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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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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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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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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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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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

Reference 27

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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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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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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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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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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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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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source=pdf_text observed=2026-07-14T13:19:32.434729Z digest=sha256:e942c80152ac4b491fc3bcd9576535a43cd7f55e26bb92683e46ed4014d93e75

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:e210e4594a06de68e76e6485cec1e5c42ab135ba3d522899c4fecb7169339925

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=sha256:7131300c92843c4cb90982bf150efd3542dd0fb98c31345a01c3d7cc249d55b6

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=sha256:60c665b0e6920e26e8ef1d5274a6688dc735069edfaf8a0586942c1df8323539

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=sha256:8b8aead6d0f695e02d29879435d92a83f1bb83707571f76922a12c8b8924ae29

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=sha256:8181b65244aa2e514d8aed541bb4fcda46f946202dc805a2356168978eb2e107

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=sha256:0b3ca2f209b7c8538e45bb8c04833a05fb11bbd353e024ee3d9229902d66be17

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=sha256:004f9f2fdc567f553432624bc220a1e96dc69381b2d789ecc8b54b6bfc353cc9

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=sha256:12ffdb893996a81d06f6314be2444eb279f0033d1e54a4825cd1b8244dafc112

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:b49ada4b26bd335dc67bfd20aebff66d5c933c8f9d54e65172eb6fb16743ae87

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:aadb87713dbbac6fa9acb361cd8fb9df0bcf984aae87d5ba285ffaa4c26e6fe3

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:e43a5d52d96bd48d80934c99b02376abaf1727dad846773d92d545bf6965eaac

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=sha256:25b4096ea4e50e2cd46b31a96c2623044ce12d3604b9af0ab25dc36d1ecfcca1

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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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:acec401587b6eb925061c01bc1096ac6852e61badbf1c08fa1f3bd37e1c1462c

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=sha256:8eb8861a747b26978f7df259106f3a328a01266998f5faccadef516e84395641

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:f7a1658a717621692ef95b5e883d7c413db372b68a6f7be5bb091454e98dfaef

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=sha256:834a51ab26f18a1c325ee732f780e5d0bfe82e3f1f7b1842ec7049af3248a342

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:c5991f358917fc04d27db4491b43f765d323ee71b91c514930a72588e4a55eb9

Pith citing papers

No inbound Pith citation observations are available.