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Paper Citation Record · LEDGER

Multimodal Video Emotion Recognition with Reliable Reasoning Priors

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2508.03722.

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

pith.paper-citation-record.v1
2508.03722 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:18:32.900270Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:42:33.784811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:41:37.028986Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d5c627a-a6db-43ee-a226-5bb0c96c6d11 · outbound

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

Multimodal Video Emotion Recognition with Reliable Reasoning Priors DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

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no resolver link, observed 2026-08-06T12:18:29.677235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:29.677235Z digest=sha256:da429d3ba88a668e0307ac31db075951736f7a4c67dd0ae9ebaf126c24552787

Observation 4eb8c3b6-26c8-493a-b570-d4b6c0db845e · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 2

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no resolver link, observed 2026-08-06T12:18:29.724352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:29.724352Z digest=sha256:267be7734ad5e3a1469c525be9c6ea10b682fbedbb8e402779dcace5ce275a7c

Observation efd91f36-55f8-451b-912c-67610fb9ae5e · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Chain-of-thought prompting elicits reasoning in large language models

Reference 3

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no resolver link, observed 2026-08-06T12:18:29.763895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:29.763895Z digest=sha256:e2ea8fa65882c5e724eb1f423bc94020e1a8cbeef66d2f061f164b373e90c8d4

Observation 23b59b22-e7a1-4a78-8c88-f34c8c64a3e5 · outbound

This paper cites Train- ing language models to follow instructions with human feedback.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Train- ing language models to follow instructions with human feedback

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:38.079998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:29.858380Z digest=sha256:ab3e9f81f4d20e65af95c7db6967374be7a7884341a1c50e1e79c01939e4c745

Observation 8206c12d-31a4-40cd-8a65-113b73225169 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 5

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no resolver link, observed 2026-08-06T12:18:29.911747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:29.911747Z digest=sha256:dd1c7ff3c9e22f528bf146f7a7beb8f4a663403a8499561c81c2f5961a70703b

Observation 407afac2-5f17-40be-adcf-141bf72293d0 · outbound

This paper cites R., Shravan Venkatraman, Vigya Sharma, Santhosh Malarvannan, and Modigari Narendra.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors R., Shravan Venkatraman, Vigya Sharma, Santhosh Malarvannan, and Modigari Narendra

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-06T12:18:33.807166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:29.965395Z digest=sha256:73e82bfc03dfd445fe6c5437de4617fc942ae943cfcbc94791ed06cb8c72bdab

Observation 8bee82be-d806-41f9-a2a2-d50e6b8b2026 · outbound

This paper cites Tacfn: Transformer-based adaptive cross-modal fusion network for multimodal emotion recognition.Artificial Intelligence Research, 2, 2023.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Tacfn: Transformer-based adaptive cross-modal fusion network for multimodal emotion recognition.Artificial Intelligence Research, 2, 2023

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:37.820936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.052923Z digest=sha256:0498211cd62db8de94b0c0f83f52427198719f21c7bf20d21ede5914a46c0e2e

Observation 74b3c003-b1f4-4aff-bef3-b35b768feb6d · outbound

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

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Multimodal language analysis in the wild: CMU-MOSEI dataset and interpretable dynamic fusion graph

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:37.576873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.152705Z digest=sha256:ff768f2bf47559436868cc6cd290d1c06439547f01c5add255d114c0605c2ff7

Observation 08dc0430-9e1c-4952-8d6f-886f58d8298d · outbound

This paper cites Livingstone and Frank A.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Livingstone and Frank A

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:37.377872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.207137Z digest=sha256:baa6aa387dc23503210d3efb15554cb0cccc7fed4af7f2f36a50e42c742db5c1

Observation 23f35a65-b2f2-4331-855f-2cd9752c836f · outbound

This paper cites Multimodal emotion recognition with vision–language prompting and modality dropout.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Multimodal emotion recognition with vision–language prompting and modality dropout

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:37.178312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.303597Z digest=sha256:29d3c15464e333cc64ee22b790b395dc7621b3dac1d86038255c0a20d5714bf8

Observation fd14d689-c8ec-4d1b-81ad-326227f8d045 · outbound

This paper cites Visual and textual prompts for enhancing emotion recognition in video.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Visual and textual prompts for enhancing emotion recognition in video

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:36.927739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.454122Z digest=sha256:a81f115d8e2c511c4eb172796c2422edde2f238f4516a2f158f93405e98077d8

Observation 0b3c981a-614c-4c59-b32c-700f34dd850d · outbound

This paper cites Ov-mer: Towards open-vocabulary multi- modal emotion recognition.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Ov-mer: Towards open-vocabulary multi- modal emotion recognition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:18:36.718680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.544722Z digest=sha256:e0f4588eca3ebba22288d1222883bc95b414d1f6990b218697785ffd43048c22

Observation 4645c05e-13d6-4053-a3ff-b54cca8f6139 · outbound

This paper cites Af- fectgpt: A new dataset, model, and benchmark for emotion understanding with multimodal large language models.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Af- fectgpt: A new dataset, model, and benchmark for emotion understanding with multimodal large language models

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:36.453411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.634240Z digest=sha256:74319ae5c0ced961c14088215365eadb69313bfb0eea0c6a62bbaf71ce73bcbd

Observation 5e7e6434-b61d-4182-b307-d66b066735de · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 14

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no resolver link, observed 2026-08-06T12:18:30.733821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:30.733821Z digest=sha256:4ce7811b48b0551e8a5d36a31959797708637b691c6bd100a3da467be7fe4651

Observation ec32d509-c19c-43eb-a525-ecec7b3af040 · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 15

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no resolver link, observed 2026-08-06T12:18:30.801571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:30.801571Z digest=sha256:6d7735e62195efdef36165248522998b8b999afb69050e2f03c7015bcd0c573f

Observation acbf79e9-a453-445c-81e2-2cf1ccce4be1 · outbound

This paper cites Visual Programming: Compositional visual reasoning without training.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Visual Programming: Compositional visual reasoning without training

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T12:18:30.875408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:30.875408Z digest=sha256:0980e7ea02d7cc56806e2322087b9d083c0e3c7ff1a0d4c99af55f3b0be63863

Observation d07a0b31-6cee-4585-ba9b-6525e8515787 · outbound

This paper cites Visual chain-of-thought prompting for knowledge- based visual reasoning.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Visual chain-of-thought prompting for knowledge- based visual reasoning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:18:36.189511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:30.981852Z digest=sha256:612e5cba8b79c96baa869a22c7f4643c61a671b924cd6094c62d4a1ac90ed7c4

Observation d99ad617-03b0-4534-a7ea-5f6a91e237b6 · outbound

This paper cites LaMI: Augmenting Large Language Models via Late Multi-Image Fusion.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors LaMI: Augmenting Large Language Models via Late Multi-Image Fusion

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:18:33.354038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:31.138395Z digest=sha256:6ff24e38fa99cf57eccd0e4f6164450d1577010f09be4108ef99b4471dfb7712

Observation 5f6af8b3-4203-4346-9353-5555f5361ecf · outbound

This paper cites An explainable vision question answer model via diffusion chain-of-thought.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors An explainable vision question answer model via diffusion chain-of-thought

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:18:35.886744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:31.263848Z digest=sha256:aeec8e797c9bcfda6efac733c9191c2d421b1b38e30f2be6d6c57d25dbd79b56

Observation 12e8b7a5-2f19-4031-b883-ac4889c056a2 · outbound

This paper cites The relation between valence and arousal in subjective experience.Psychological bulletin, 139(4):917, 2013.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors The relation between valence and arousal in subjective experience.Psychological bulletin, 139(4):917, 2013

Reference 20

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raw_fallback, observed 2026-08-06T12:18:35.691694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:31.418101Z digest=sha256:4badcd5f8d828c46b93dc19c8462bba02d194b5a7c5ac5bbb73cc5032347f993

Observation 7ac25b27-2593-4994-b885-9b9f2105ae1d · outbound

This paper cites Arousal, valence, and mem- ory for detail.Memory, 12(2):237–247, 2004.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Arousal, valence, and mem- ory for detail.Memory, 12(2):237–247, 2004

Reference 21

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raw_fallback, observed 2026-08-06T12:18:35.369149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:31.562616Z digest=sha256:6412858d1add62aaa650c1550d7381dd4866845c8b1785fe1f3c76d38df93f01

Observation d515ee12-2acc-4932-a8b1-c7eca222a843 · outbound

This paper cites Facial action coding system.Environmental Psychology & Nonverbal Behavior, 1978.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Facial action coding system.Environmental Psychology & Nonverbal Behavior, 1978

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T12:18:35.089526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:31.689631Z digest=sha256:b774aa4dd6f6f8e83461b54e6c16a2aa9eeb419b96862f5efb264e1595f18f1b

Observation 883dd76c-e4e3-45f0-9bf0-fd9b040bdf6b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Gemini: A Family of Highly Capable Multimodal Models

Reference 23

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no resolver link, observed 2026-08-06T12:18:31.822763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:31.822763Z digest=sha256:2954b4a5ef3dd0068643441bc32982af385a8b1734166275fea05e7a114da8ba

Observation 540bedeb-187a-448c-9dfc-dcadab01b2d4 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Representation Learning with Contrastive Predictive Coding

Reference 24

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no resolver link, observed 2026-08-06T12:18:31.888109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:31.888109Z digest=sha256:2d6b08bedd843bba7129e9dcff80fce7a60977ce78422b745a83e4d392caae90

Observation 9a883165-e486-469f-bb15-7a22a935a461 · outbound

This paper cites Balanced contrastive learning for long-tailed visual recognition.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Balanced contrastive learning for long-tailed visual recognition

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:18:34.829391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:31.962363Z digest=sha256:12b2662469acb52a1cfe5b7ff47f241f2c4c6e39d5f7231f8868ab704f621271

Observation 361c99b7-16e4-41ab-86b2-ed2c3d85bde2 · outbound

This paper cites Mer 2024: Semi-supervised learning, noise robustness, and open-vocabulary multimodal emotion recognition.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Mer 2024: Semi-supervised learning, noise robustness, and open-vocabulary multimodal emotion recognition

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:18:34.614285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:32.057053Z digest=sha256:340f9e76e3fa12e9052692603d4cdc7967a30a3b4cb19c25b53b9c5859155a6c

Observation c71cc0df-bb19-4809-950a-07bf92d0baa4 · outbound

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

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:18:34.325330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:32.202923Z digest=sha256:3f517194a9899a2095192a426e176d0cf4353f96069f98f2e4ee7239dbd44d13

Observation 9d69c8ff-0d2c-4ea8-93f5-18dd6cb9654c · outbound

This paper cites Emotion-llama: Multimodal emotion recognition and reasoning with instruction tuning.Advances in Neural Information Processing Systems, 37:110805–110853, 2024.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Emotion-llama: Multimodal emotion recognition and reasoning with instruction tuning.Advances in Neural Information Processing Systems, 37:110805–110853, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:18:34.070365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T12:18:32.357879Z digest=sha256:4297e95c18272dc8fd6fd03bd761cc210a198003ee4beda9660494314db63699

Observation aa515d7c-71c5-416b-a031-6d593afef563 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T12:18:32.448054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:32.448054Z digest=sha256:f0e0ce847e07766ae5275055530bffa832ff336c312bf320a75d9e18d7e6198f

Observation 7ef91280-3fa7-4007-aa6a-39f50dfe993e · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T12:18:32.553102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:32.553102Z digest=sha256:fffb7c3a2dcde70a494e4ebb491975e84092ee30fb1f51f82110914bba1e72d6

Observation 6c920637-e1db-4474-889f-be9987090f8c · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T12:18:32.678085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:32.678085Z digest=sha256:edb340b5d82b2c30f50ed8094a709667a0aaa33b27bdc7db1ec59e51055f0fbf

Observation 9b8c1a8a-da01-478c-b1a1-083df0888033 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 32

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no resolver link, observed 2026-08-06T12:18:32.811352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:32.811352Z digest=sha256:c2270a7041dca00d9296849eb01e667bcac4719311fb60ae0ad7dbea16dc7311

Observation 1f53d9fd-8034-4b53-97fe-4a5538355a79 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Multimodal Video Emotion Recognition with Reliable Reasoning Priors Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 33

Resolution
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no resolver link, observed 2026-08-06T12:18:32.900270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:32.900270Z digest=sha256:3c8f42ec158eedbf6e7b2424a8769c149176ac20982e0836627d10ab50cc8be7

Pith citing papers

Observation 6a5087e3-3222-4fec-a5e0-b7b40d215aa8 · inbound

WINELL: Wikipedia Never-Ending Updating with LLM Agents cites this paper.

WINELL: Wikipedia Never-Ending Updating with LLM Agents Multimodal Video Emotion Recognition with Reliable Reasoning Priors

Reference 1

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no resolver link, observed 2026-08-06T11:42:33.784811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:42:33.784811Z digest=sha256:324cfbc896995ac36dd4ad21206b179d98e93806a7c2f76a0eefbdf1143c3a8e

Observation 4134853e-9692-4730-a6db-6da003818775 · inbound

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable cites this paper.

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable Multimodal Video Emotion Recognition with Reliable Reasoning Priors

Reference 74

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arxiv_id, observed 2026-05-12T06:41:37.038342Z

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source=pdf_text observed=2026-05-12T04:03:38.659547Z digest=sha256:33a8106ed60256bd6c14919385fe92fa5237601cd10abcd7e5b2268e6ecaf1e1