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Paper Citation Record · LEDGER

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos

As of 5 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 0 inbound Pith citation observations for arXiv:2607.27895.

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

pith.paper-citation-record.v1
2607.27895 v1

Coverage vector

measured 100 of 110 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:32:03.265225Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 110 outbound references displayed

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  • verified fuzzy0
  • unresolved99
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 232839a1-1d3e-4ad4-9a2b-e5d224093f8e · outbound

This paper cites GPT-4 Technical Report.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-07-31T23:31:51.141100Z digest=sha256:87b534b10220b71a359b8ecc760594764f92fedae15f853e61085d8429c6a0b8

Observation 9035d6fd-cb8d-4d95-bc54-5cdab5612b5a · outbound

This paper cites Ensemble hybrid learning methods for automated depression detection.IEEE transactions on computational social systems, 10(1):211–219, 2022.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Ensemble hybrid learning methods for automated depression detection.IEEE transactions on computational social systems, 10(1):211–219, 2022

Reference 2

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Observation e7ac869b-4960-4bbd-92ba-059440021717 · outbound

This paper cites Infinibench: A benchmark for large multi-modal models in long-form movies and tv shows.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Infinibench: A benchmark for large multi-modal models in long-form movies and tv shows

Reference 3

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source=pdf_text observed=2026-07-31T23:31:51.371756Z digest=sha256:a27b538f389694afbcd1c34b4f2119a03dadb1aa2c24fc96392efc81f9133552

Observation 3985f2ed-b7df-4c39-b001-7476be93f55a · outbound

This paper cites Qwen3-vl technical report, 2025.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Qwen3-vl technical report, 2025

Reference 4

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source=pdf_text observed=2026-07-31T23:31:51.527737Z digest=sha256:b776b5da10c75cd6c0bde9a8e571053ba9e48687760dab0d17b0ec05906607d1

Observation b1ea4c76-ce27-4c3c-a235-d5edcfa88fd0 · outbound

This paper cites Qwen2.5-VL Technical Report.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Qwen2.5-VL Technical Report

Reference 5

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source=pdf_text observed=2026-07-31T23:31:51.670379Z digest=sha256:90de055d3725ac85f0cfcbd68c2b9a269f0909be8d654ee7bcc8d84a30caa850

Observation d4de1a40-64ad-4096-9abc-986d0811d4bf · outbound

This paper cites Depression detection in clinical interviews with llm-empowered structural element graph.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Depression detection in clinical interviews with llm-empowered structural element graph

Reference 6

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source=pdf_text observed=2026-07-31T23:31:51.830195Z digest=sha256:9684fb19bcbe5e12cbb5cccd2a83cae47949f8b67f8a8347491e975053bedf6b

Observation b6daebf8-f90d-4c6b-8187-d475a6379fd8 · outbound

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

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 7

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source=pdf_text observed=2026-07-31T23:31:51.918946Z digest=sha256:1fbb5d59ab50baba70fa7269c14024033f8c3248f4759f0dfc6904063e9667f4

Observation 74a499b9-ad41-4e67-a0d6-7950436552e6 · outbound

This paper cites Tears or cheers? benchmarking LLMs via culturally elicited distinct affective responses.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Tears or cheers? benchmarking LLMs via culturally elicited distinct affective responses

Reference 8

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source=pdf_text observed=2026-07-31T23:31:51.988368Z digest=sha256:94530cdbff0a82cbdc45864742dfba7c39eaddfe2dc01fd4c2fef4ac6670300e

Observation da96ebd8-e00f-40ab-80f0-9d11bd206df1 · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 9

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source=pdf_text observed=2026-07-31T23:31:52.121441Z digest=sha256:8942bc7aed05fc11261a3c1eeff5e30c067c0391c9a464eeddf43bfff8f46f0c

Observation ba07382f-aabb-4073-951f-7a3841eca566 · outbound

This paper cites The first mpdd challenge: Multimodal personality-aware depression detection.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos The first mpdd challenge: Multimodal personality-aware depression detection

Reference 10

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source=pdf_text observed=2026-07-31T23:31:52.179376Z digest=sha256:a695d07b4ad2e37183bbb668f3978f067fed45ef9a57099a73fd9fd69e8610ef

Observation 9356f17a-acab-44a6-97cd-d3f99b94d2e4 · outbound

This paper cites The distress analysis interview corpus of human and computer interviews.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos The distress analysis interview corpus of human and computer interviews

Reference 11

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source=pdf_text observed=2026-07-31T23:31:52.270599Z digest=sha256:b5102900d7d9fd5a4adeaae5d4a787fb5c8b15b10b05c0006c955bee6457048e

Observation 81882d5c-72ce-41ec-8df8-48e0d8ebbe33 · outbound

This paper cites Towards ai-assisted psychotherapy: Emotion-guided genera- tive interventions.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Towards ai-assisted psychotherapy: Emotion-guided genera- tive interventions

Reference 12

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source=pdf_text observed=2026-07-31T23:31:52.364887Z digest=sha256:16121ead56d7f94a7b77a836edc7a10a10d3850d68ac2cde18f57d60333a091d

Observation a759e14f-e5db-4536-8420-70569000bef3 · outbound

This paper cites Lmvd: A large-scale multimodal vlog dataset for depression detection in the wild.Information Fusion, page 103632, 2025.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Lmvd: A large-scale multimodal vlog dataset for depression detection in the wild.Information Fusion, page 103632, 2025

Reference 13

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source=pdf_text observed=2026-07-31T23:31:52.435244Z digest=sha256:5b098deeafa336cbbbdc7ecf2da5e0198da2a3cf5b1c83fd5db33e1262f88ace

Observation be9917fa-28a4-478c-a298-009e1ea2c97d · outbound

This paper cites Beyond emotion recognition: A multi-turn multimodal emotion understanding and reasoning benchmark.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Beyond emotion recognition: A multi-turn multimodal emotion understanding and reasoning benchmark

Reference 14

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source=pdf_text observed=2026-07-31T23:31:52.517559Z digest=sha256:b0e32a2ed801434fc2a96eba0f471dd8d2e65e784250a765d99419546dd2bb98

Observation 5d833d0c-93f8-4f26-ad71-d0167e005b36 · outbound

This paper cites Agentmental: An interactive multi-agent frame- work for explainable and adaptive mental health assessment.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Agentmental: An interactive multi-agent frame- work for explainable and adaptive mental health assessment

Reference 15

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source=pdf_text observed=2026-07-31T23:31:52.633396Z digest=sha256:3644d3d24a9d72b55a270d8b86543087497a7237c9a58778570da1459e36c6e9

Observation 5dc5c4ac-3794-44fb-9441-ac475658f37a · outbound

This paper cites Smile: Multimodal dataset for understanding laughter in video with language models.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Smile: Multimodal dataset for understanding laughter in video with language models

Reference 16

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source=pdf_text observed=2026-07-31T23:31:52.780649Z digest=sha256:82e62b459237892d81994bb3905878684118ac99e73ab31b55725fafacdad83a

Observation 07ba25a2-484d-43c4-9c06-141102523341 · outbound

This paper cites De- pression detection from social network data using machine learning techniques.Health information science and systems, 6(1):8, 2018.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos De- pression detection from social network data using machine learning techniques.Health information science and systems, 6(1):8, 2018

Reference 17

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source=pdf_text observed=2026-07-31T23:31:52.853062Z digest=sha256:07678c4efd30316b5f03834ce5074d9f35ef75bc15387d583c1f7cd7cda52b22

Observation 897ca25b-c10d-4b57-8b7b-33f4787b43ce · outbound

This paper cites Depression detection on social media with large language models.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Depression detection on social media with large language models

Reference 18

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source=pdf_text observed=2026-07-31T23:31:52.928742Z digest=sha256:9d3b6f8000700d267ac483b6dd22f4e5ab7836d57d047a964a9280e6c5a69882

Observation 97aa3b60-992b-4fb1-b3e3-1ef9ce76784e · outbound

This paper cites Sensemood: depression detection on social media.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Sensemood: depression detection on social media

Reference 19

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source=pdf_text observed=2026-07-31T23:31:53.001273Z digest=sha256:d364445df502be01fbfba049d083947844177e64e4965b8aa3fcbabae2813045

Observation ca7b7171-76b1-49b1-8edd-a648ea415e85 · outbound

This paper cites Ministral 3.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Ministral 3

Reference 20

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source=pdf_text observed=2026-07-31T23:31:53.075420Z digest=sha256:5ce5e7063f259bb9a849cca1eaa8f57cabcafe38a11922a082fcd80410e25459

Observation 9afeee03-51ba-4c77-a54d-84c9d23cb390 · outbound

This paper cites Bolt: Boost large vision-language model without training for long-form video understanding.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Bolt: Boost large vision-language model without training for long-form video understanding

Reference 21

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source=pdf_text observed=2026-07-31T23:31:53.185683Z digest=sha256:c3001e5671d46f5f4ab2cd4fa3c755dbbd0858ca4fc63965d6fda40e4a02b609

Observation d4f890c2-efae-4af5-ac70-d92ddb7c6b6e · outbound

This paper cites Psyscam: A benchmark for psychological techniques in real-world scams.arXiv preprint arXiv:2505.15017, 2025.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Psyscam: A benchmark for psychological techniques in real-world scams.arXiv preprint arXiv:2505.15017, 2025

Reference 22

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source=pdf_text observed=2026-07-31T23:31:53.248345Z digest=sha256:0cb187418ee4593cba4783100fef4d7424f036a1acab1e43aff9bac714fa175b

Observation 75e1c084-d86a-41c2-9a3e-998525928d13 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.Advances in Neural Information Processing Systems, 36:46212–46244, 2023.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Egoschema: A diagnostic benchmark for very long- form video language understanding.Advances in Neural Information Processing Systems, 36:46212–46244, 2023

Reference 23

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source=pdf_text observed=2026-07-31T23:31:53.412492Z digest=sha256:2e868b26433e8100be74b06c7073b356ffef0d6b6f0040068eec6b6279b5b858

Observation 6680bc67-bba2-4b69-930b-c4d6d5b2bc98 · outbound

This paper cites Deep learning for depression detection of twitter users.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Deep learning for depression detection of twitter users

Reference 24

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source=pdf_text observed=2026-07-31T23:31:53.610808Z digest=sha256:0868c20a750a916e0f30760308f8f6ef2b2dd9df4757bc5743e816830059e24c

Observation c2e4bc15-db9b-492c-af74-6ad13556371d · outbound

This paper cites Meld: A multimodal multi-party dataset for emotion recognition in conversations.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Meld: A multimodal multi-party dataset for emotion recognition in conversations

Reference 25

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source=pdf_text observed=2026-07-31T23:31:53.760605Z digest=sha256:2a5915ad612eb9d1826be1f292115630d65647488d679397fcabea9734f6637f

Observation 6d53efbd-d4ad-4a55-8405-55009e2f7990 · outbound

This paper cites Deepwell-adol: A scalable expert-based dialogue corpus for adolescent positive men- tal health and wellbeing promotion.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Deepwell-adol: A scalable expert-based dialogue corpus for adolescent positive men- tal health and wellbeing promotion

Reference 26

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source=pdf_text observed=2026-07-31T23:31:53.947841Z digest=sha256:1f3188340320cec4af1fcaa43e1c5bd6e8acf17666696238b9fcc1319ef2218f

Observation df495565-8cc7-4ad9-8fc3-9e1009968935 · outbound

This paper cites Qwen3.5: Towards native multimodal agents,.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Qwen3.5: Towards native multimodal agents,

Reference 27

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source=pdf_text observed=2026-07-31T23:31:54.111310Z digest=sha256:49a241eb8d9fcc3a1ae39396b4630132056f1872e3b64bf61f7d81fe7eb52a26

Observation c2fb3966-5463-466f-a616-3307420837ff · outbound

This paper cites Qwen3.6-35B-A3B: Agentic coding power, now open to all, 2026.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Qwen3.6-35B-A3B: Agentic coding power, now open to all, 2026

Reference 28

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source=pdf_text observed=2026-07-31T23:31:54.306747Z digest=sha256:93a765cc0c648503f8b2fb43dacff2a2637a315298caef58af0064cece475109

Observation 159de0ca-f75f-42f0-85a5-70fcb0280329 · outbound

This paper cites Qwen3.6-Plus: Towards real world agents, 2026.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Qwen3.6-Plus: Towards real world agents, 2026

Reference 29

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Observation 4a6e854f-9583-4cb7-a80e-23375b75a4c7 · outbound

This paper cites Qwen3.7: The agent frontier, 2026.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Qwen3.7: The agent frontier, 2026

Reference 30

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source=pdf_text observed=2026-07-31T23:31:54.619814Z digest=sha256:52d489da7dd19302ea3286ca1686fb9b7a8201d7b26a8f93906aaa58d6295a1a

Observation 3468b942-2d21-4e4c-b391-1a16cf76b8e8 · outbound

This paper cites M- help: Using social media data to detect mental health help- seeking signals.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos M- help: Using social media data to detect mental health help- seeking signals

Reference 31

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source=pdf_text observed=2026-07-31T23:31:54.798989Z digest=sha256:88fa71c8f1b7d6a8ee8dab142a95c6101d49f38a025fe678cbdf38801b109a26

Observation a628d33e-38c9-4c85-ac84-bd715cc43446 · outbound

This paper cites Automatic depres- sion detection: An emotional audio-textual corpus and a gru/bilstm-based model.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Automatic depres- sion detection: An emotional audio-textual corpus and a gru/bilstm-based model

Reference 32

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source=pdf_text observed=2026-07-31T23:31:54.913471Z digest=sha256:e1fec4ebf0d3b479b2932a0157ddb6019797b5c350c21dee697ffa99ec2ea5bb

Observation 250501ec-7718-4c81-baa7-ec34d6db0f8c · outbound

This paper cites Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 33

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source=pdf_text observed=2026-07-31T23:31:54.992394Z digest=sha256:e8385b785b33eec50ae6fe90ea532715644ba6b8ce24443dab3fc696de9f7f65

Observation 5427e447-662d-4561-be51-ce561c7a62b2 · outbound

This paper cites Emotional video captioning with vision-based emo- tion interpretation network.IEEE Transactions on Image Processing, 33:1122–1135, 2024.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Emotional video captioning with vision-based emo- tion interpretation network.IEEE Transactions on Image Processing, 33:1122–1135, 2024

Reference 34

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source=pdf_text observed=2026-07-31T23:31:55.076265Z digest=sha256:fff2a4eb97857458ebe3c3e148d7ca3269356ceb95c8d5873c4554b45f70f4ce

Observation 4390d65b-d83b-4e7e-b328-978fd3718510 · outbound

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

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 35

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source=pdf_text observed=2026-07-31T23:31:55.159739Z digest=sha256:834af63d1828daeb62d43c13df36f21d2d5fe027d1f2f301178ff5da985db289

Observation ec2b053e-bf5a-491d-97b5-c4501a5ecf83 · outbound

This paper cites Lvbench: An extreme long video understanding benchmark.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Lvbench: An extreme long video understanding benchmark

Reference 36

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source=pdf_text observed=2026-07-31T23:31:55.266113Z digest=sha256:5f6e8ce8de024a16835af6adc630ae18ddec1f489ff05b444a813638fd33ae10

Observation 1c3aa1e8-dbc1-41bb-b14e-cc6267db7a85 · outbound

This paper cites Longvideobench: A benchmark for long-context interleaved video-language understanding.Advances in Neural Informa- tion Processing Systems, 37:28828–28857, 2024.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Longvideobench: A benchmark for long-context interleaved video-language understanding.Advances in Neural Informa- tion Processing Systems, 37:28828–28857, 2024

Reference 37

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source=pdf_text observed=2026-07-31T23:31:55.370145Z digest=sha256:1007ec08c22f87053de4979d254cc65fa757b15a82fb41f91fb4aa1b5a2a80fe

Observation e7d2334c-17d2-4f33-add6-ab45d971f105 · outbound

This paper cites Multimodal measurement of depression using deep learning models.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Multimodal measurement of depression using deep learning models

Reference 38

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source=pdf_text observed=2026-07-31T23:31:55.489229Z digest=sha256:0e2191c401a0039f08cc31617fa1346de7039de679072f6c3b82eb6c77c5c55a

Observation fb23ae76-ba62-4a1f-870d-27f5e8bf3fb2 · outbound

This paper cites D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat

Reference 39

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source=pdf_text observed=2026-07-31T23:31:55.535042Z digest=sha256:3996a9efff4ac8c1488153667f9659fc73fa43a10ca90da804790db3c06be0f3

Observation 2508e53a-d4c5-4a37-809f-08c924e77491 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 40

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source=pdf_text observed=2026-07-31T23:31:55.592498Z digest=sha256:d8651161bdf55a5466175139fdbe373d58066df78ff4534c30e3ea44b5c3fe3b

Observation 909bea17-248c-418a-a31f-98846cb23487 · outbound

This paper cites D-vlog: Multimodal vlog dataset for depression detec- tion.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos D-vlog: Multimodal vlog dataset for depression detec- tion

Reference 41

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source=pdf_text observed=2026-07-31T23:31:55.645837Z digest=sha256:dfe0364188f9bab5fb2fae70bc9940f2c3179cdc0cdea4ec36a6e8cce3c10567

Observation 30f1786c-d01a-4eae-a00a-b3933ec9f676 · outbound

This paper cites Minicpm-v 4.5: Cooking efficient mllms via architecture, data, and training recipe.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Minicpm-v 4.5: Cooking efficient mllms via architecture, data, and training recipe

Reference 42

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source=pdf_text observed=2026-07-31T23:31:55.700898Z digest=sha256:a94166c2f08efbbb6195e7133b5cfe08a493e39bbd38c6c7ddc5c046961734b7

Observation 26424d37-139b-4754-8d8c-1d8377c5e694 · outbound

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

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph

Reference 43

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source=pdf_text observed=2026-07-31T23:31:55.757529Z digest=sha256:a16e4ee8284544f63f095ebd18a538babbda3844fb9d30fd6a28019ae4a6aef2

Observation 071b7677-2e74-4584-9fc8-d98da7e33e05 · outbound

This paper cites Mentalglm series: Explainable large lan- guage models for mental health analysis on chinese social media.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Mentalglm series: Explainable large lan- guage models for mental health analysis on chinese social media

Reference 44

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source=pdf_text observed=2026-07-31T23:31:55.933289Z digest=sha256:63417fd0ad68ef28589ba1d2b19ab849809e0229de6690bd8c0760b6888b090c

Observation cf7cdfdb-99d2-4204-858e-704bffafb767 · outbound

This paper cites Auradial: A large-scale human-centric di- alogue dataset for chinese ai psychological counseling.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Auradial: A large-scale human-centric di- alogue dataset for chinese ai psychological counseling

Reference 45

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source=pdf_text observed=2026-07-31T23:31:56.081932Z digest=sha256:cbe9c70b21802b248aa852a82627f55901ce2a2b4aaeeb401cc25278a8261ddf

Observation 5ba5fd4c-5d55-4206-807d-f26eb0d92598 · outbound

This paper cites M3ed: Multi-modal multi-scene multi-label emotional dialogue database.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos M3ed: Multi-modal multi-scene multi-label emotional dialogue database

Reference 46

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source=pdf_text observed=2026-07-31T23:31:56.201193Z digest=sha256:36d246d262847d841e7c603d27158af182efd6338a9c9a1380a0fbea085efd45

Observation 9f4e55bd-a441-4b58-a981-27304e239e93 · outbound

This paper cites Mlvu: Benchmarking multi-task long video understanding.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Mlvu: Benchmarking multi-task long video understanding

Reference 47

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source=pdf_text observed=2026-07-31T23:31:56.374938Z digest=sha256:c1520c6d20c0514b6243c69657c08a8b2be3827d694e549e2d3cc709f669065e

Observation a7cc3107-85e2-4221-8f39-c43836c3b9f8 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 48

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source=pdf_text observed=2026-07-31T23:31:56.486832Z digest=sha256:176feb1ba424d5f458d95ce76d5433ec1b5cf477c61c00c6769a0886fad78981

Observation c6869e6c-742a-44b7-b4ae-6edf98de5a99 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 49

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source=pdf_text observed=2026-07-31T23:31:56.659185Z digest=sha256:ebfe4ed805a04edad9ab8d201394b69241afa4195a8de0e6f792df10086fef6d

Observation 5aca2e38-ad92-4763-90e0-5a0e7843f9c6 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 50

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source=pdf_text observed=2026-07-31T23:31:56.776274Z digest=sha256:42e699a63b81187ec4ec120dc55450fd20f15b24d2bdd693e4b3db37bce01503

Observation 675277bb-0076-4ddf-8720-5c7b4b028fdd · outbound

This paper cites Each dimension is assessed using a binary score, where 1 indicates that the eligibility requirement is satisfied and 0 indicates that it is not satisfied.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Each dimension is assessed using a binary score, where 1 indicates that the eligibility requirement is satisfied and 0 indicates that it is not satisfied

Reference 51

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source=pdf_text observed=2026-07-31T23:31:56.915090Z digest=sha256:489f3f1319950e9c3294e8731959ffb1959a606275fdf082121a7c146758eaba

Observation eab5471d-57b8-41d3-8d93-d252a426a218 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 52

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source=pdf_text observed=2026-07-31T23:31:57.089885Z digest=sha256:0bff55a816aaa56f7ca5302a58d72d310252771e9992312b8d5e4db4c3033360

Observation 9808edc4-6fdf-4761-a48d-30f2111f9f78 · outbound

This paper cites (b)Psychological Process Evidence.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos (b)Psychological Process Evidence

Reference 53

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source=pdf_text observed=2026-07-31T23:31:57.203548Z digest=sha256:8a541153f454c0b8fbbb5c695cc5fe5d1b9011a438699ee75ca4fa4ab5afc2b3

Observation f974745d-4b80-4903-8b16-beb4c2fa29d2 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 54

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source=pdf_text observed=2026-07-31T23:31:57.355941Z digest=sha256:b236309cd873b54db4b5e320c3a0a8a9fe8701d86d82812aa97434869ebb979a

Observation 64dbb688-5809-4704-859b-9c1ee1901e5f · outbound

This paper cites (c)Narrative Completeness.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos (c)Narrative Completeness

Reference 55

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source=pdf_text observed=2026-07-31T23:31:57.450311Z digest=sha256:d179e1bc57cbc906bfd81ffc03aa359346fd7e817601a4715fe7dfc9ded0e87f

Observation 5b017afa-eb69-41a9-be9d-ff9ff2570c33 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 56

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source=pdf_text observed=2026-07-31T23:31:57.574761Z digest=sha256:5081b69a8a2f49fca025e36edf9656417c75b9741a9c8982c85d494435b2657a

Observation 42f8df9d-fdc0-47a5-92b7-e2f0271b81a8 · outbound

This paper cites (d)Video Duration.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos (d)Video Duration

Reference 57

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source=pdf_text observed=2026-07-31T23:31:57.739995Z digest=sha256:c29ff4a5d3880e3ad9449fd9c777ada568c35909b3850cd19946978629f4802b

Observation c0dcf217-6e2b-4c10-b9c2-01de28ba417a · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 58

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source=pdf_text observed=2026-07-31T23:31:57.945171Z digest=sha256:4c2833b8e7c95fe0ad24b06002ca2e20f87dd63d7d049b249b3f0d053707f7da

Observation d562fdd3-9bc9-4cb9-8d59-b5fa71907eaa · outbound

This paper cites (e)Ethical Appropriateness.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos (e)Ethical Appropriateness

Reference 59

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source=pdf_text observed=2026-07-31T23:31:58.058368Z digest=sha256:8035d949db3476803b6d9df411a4905460a3d5c1a423ef018d7b2064e25e5f9c

Observation 1df54f4b-3ab6-4f90-976c-e8c788fa2a3b · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 60

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source=pdf_text observed=2026-07-31T23:31:58.181277Z digest=sha256:9e9937da8b42b34f7e00d450ba62d6bd5d9a548879a064230fa482232cf6b5b9

Observation 55cdedfd-c53d-48fa-82b5-d742272f9886 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 61

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source=pdf_text observed=2026-07-31T23:31:58.332230Z digest=sha256:ed371153efe54dae5584c26fce1e2f8c556ef9b196c591b08cac67755f2ae801

Observation 5c83ca1d-121b-4e76-8821-f1da6193ead4 · outbound

This paper cites Each evaluation dimension constitutes an independent mandatory eligibility requirement, and satisfactory performance on one dimension cannot compensate for failure on another.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Each evaluation dimension constitutes an independent mandatory eligibility requirement, and satisfactory performance on one dimension cannot compensate for failure on another

Reference 62

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source=pdf_text observed=2026-07-31T23:31:58.495080Z digest=sha256:aee53e6053802b96e841eb0252e45d62100fa443be8246d16e19c850311eac85

Observation 92540ff3-9438-475d-b41c-625b9ea9383a · outbound

This paper cites A score of 0 on any dimension results in the immediate exclusion of the candidate video.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos A score of 0 on any dimension results in the immediate exclusion of the candidate video

Reference 63

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source=pdf_text observed=2026-07-31T23:31:58.651285Z digest=sha256:bb09b91f620985befad25cdefe9cd22c0f6389d6eb7bb1451d2909a18febe838

Observation bc397bcf-5b07-40ec-b0ab-edd987df685e · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 64

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source=pdf_text observed=2026-07-31T23:31:58.765353Z digest=sha256:d7a80f4073225e7f2d264448fc92be15dcaebb258beda0dbdd01f7e7cb4ef147

Observation bd30bdc8-810e-400c-a067-2af083b09713 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 65

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source=pdf_text observed=2026-07-31T23:31:58.894449Z digest=sha256:6db3675761a7095b9dbbbdb5bda74c4cbeb991e5e548596082968ca053912224

Observation 14f0aa3c-43ae-4089-93d4-dfb3a54bb4da · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 66

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source=pdf_text observed=2026-07-31T23:31:59.061991Z digest=sha256:dea4c18e81c409a6a136aa2caef3407202f2ff48f6610db33eb37cb03494489c

Observation a5c7836f-67aa-4d25-9035-41794fbcff27 · outbound

This paper cites It is retained only if, after revision, it satisfies the same retention criterion: a score of 2 on Dimensions (a) and (b), and a score of 3 on Dimensions (c), (d), and (e).

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos It is retained only if, after revision, it satisfies the same retention criterion: a score of 2 on Dimensions (a) and (b), and a score of 3 on Dimensions (c), (d), and (e)

Reference 67

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source=pdf_text observed=2026-07-31T23:31:59.233126Z digest=sha256:6231182b8ae614f4ca488e80990d46aa1e6bfa97ef8dd9883361caacb1d8b2de

Observation dea2303f-b115-4f8c-9d1c-d2a42bc79e87 · outbound

This paper cites Are the question and its answer options consistent with the narrative perspective and character roles required by the item?.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Are the question and its answer options consistent with the narrative perspective and character roles required by the item?

Reference 68

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source=pdf_text observed=2026-07-31T23:31:59.393391Z digest=sha256:f6bd92e87ee25abf08f3e8adfd01b243df654367c66da8c4ee4968b42025287b

Observation 7cd63e63-9caf-4007-b566-379f00864220 · outbound

This paper cites For a first-person item, the question is not posed from the questioner’s perspective, or the answer options do not represent responses from the intended respondent’s perspective.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos For a first-person item, the question is not posed from the questioner’s perspective, or the answer options do not represent responses from the intended respondent’s perspective

Reference 69

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source=pdf_text observed=2026-07-31T23:31:59.528591Z digest=sha256:93842f2ebda134044a8959aa20c8ef665d8b621e2231b247cf97ac6adaa0b5af

Observation 01eb58b0-7ee0-4156-8185-b5adb8bbdc34 · outbound

This paper cites For a first-person item, the question is posed from the questioner’s perspective, and the answer options are expressed from the intended respondent’s perspective.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos For a first-person item, the question is posed from the questioner’s perspective, and the answer options are expressed from the intended respondent’s perspective

Reference 70

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source=pdf_text observed=2026-07-31T23:31:59.640150Z digest=sha256:4e9ab0d0c0221f9a6d53d5c5e71f655d18d7a9e6cefd637b6ea2fb69bd705851

Observation 17a18c7c-67eb-410d-851a-5d358b4ecae3 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 71

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source=pdf_text observed=2026-07-31T23:31:59.775906Z digest=sha256:2ab8753750e6d4660812920f1a34d71780c2350d242e3b89bfc485335ab8d5d2

Observation 876f7505-2b35-4de0-bd17-70d47f9e98c2 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 72

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source=pdf_text observed=2026-07-31T23:31:59.923352Z digest=sha256:e5dad0a3cd297c837889f0754b649e8baa1913e58b2d5c9f96bd026b328b5a1a

Observation 7426d8e4-d4aa-4374-a5c1-614960257775 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 73

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source=pdf_text observed=2026-07-31T23:32:00.101755Z digest=sha256:9c4d98d0630d240b2dae3495708435d6d523008a196c30a915fbb22c4a375752

Observation 2b0ffdcb-ec51-42b1-ac6d-74a0f225d2c3 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 74

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source=pdf_text observed=2026-07-31T23:32:00.208967Z digest=sha256:2776a8ee5b7baeaa777167f144cb9f726d61b9e8475963b2c9a263570f589fd3

Observation 6efc17de-f00f-41ff-baa9-a9d59cef81b5 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 75

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source=pdf_text observed=2026-07-31T23:32:00.312172Z digest=sha256:a8d1b4b915e25a6108372b4911aa7819a118780b09b1c691a37cd6e85bae175f

Observation 305905dc-abe3-498b-b04c-2e8d650e85e7 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 76

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no resolver link, observed 2026-07-31T23:32:00.426027Z

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source=pdf_text observed=2026-07-31T23:32:00.426027Z digest=sha256:a4a66315d05149b142e7d8eb1360dabe50c224d23b5223334277d310a5b719ac

Observation 581bb377-fd31-4f91-a026-a817802b6848 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 77

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no resolver link, observed 2026-07-31T23:32:00.568571Z

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source=pdf_text observed=2026-07-31T23:32:00.568571Z digest=sha256:d1f56e695dee5523ca1646504f7f604d1b8abf00ca1fd2a89d71efde82353f2e

Observation 1f0fa835-5ac7-4325-8db6-db1a71560d91 · outbound

This paper cites (e)Video Necessity.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos (e)Video Necessity

Reference 78

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no resolver link, observed 2026-07-31T23:32:00.683123Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:00.683123Z digest=sha256:0e3be9a4193f779958e44d1971c272218b742cbd09e1b69da5476b3ec1160eb3

Observation bd606bb6-d769-4477-a8dc-5b97a6f32a77 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 79

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no resolver link, observed 2026-07-31T23:32:00.841625Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:00.841625Z digest=sha256:c6b831194e2edf02e62b2745b0c1bba18ec28145fc559dad957020a42dabad1d

Observation efc6c952-0224-44a2-8517-4ac946aa7ae8 · outbound

This paper cites For example, the question may reveal relevant information, or one option may be excessively absolute or otherwise easily identifiable.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos For example, the question may reveal relevant information, or one option may be excessively absolute or otherwise easily identifiable

Reference 80

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no resolver link, observed 2026-07-31T23:32:00.982679Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:00.982679Z digest=sha256:33f70d545b3c20b1c47e9de18e7ce0b8aea1b310f5ca5b42c069af131f51a030

Observation a91c649f-d569-4fa2-a042-e1a9fa8c5af7 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 81

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no resolver link, observed 2026-07-31T23:32:01.089304Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:01.089304Z digest=sha256:6f882eb4e8f1878250b89dc1f69c1c20b454687d1505826e7889e331db60dcdc

Observation 379be421-758b-4ecb-a208-e822680d0d5c · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 82

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no resolver link, observed 2026-07-31T23:32:01.221474Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:01.221474Z digest=sha256:0a2596a6403d901b1858d622892547bf4ce951ff162b0faa305ab03eddcac430

Observation 5e3922fc-3ec4-4ea1-9bec-2e4369772b35 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 83

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no resolver link, observed 2026-07-31T23:32:01.343114Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:01.343114Z digest=sha256:4fb285c39b9fbc755a3fa267085fd91f15d1c38bee4914bf43debf1ba038cd9e

Observation 6ef1191e-dc46-4bff-b0f8-bd8719fdbc3d · outbound

This paper cites No external knowledge is introduced during the evaluation.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos No external knowledge is introduced during the evaluation

Reference 84

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no resolver link, observed 2026-07-31T23:32:01.474638Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:01.474638Z digest=sha256:369eabc9091ac5a202e7b6706fc0f7c48f10faf4e7f05ec368027c861631324b

Observation 162fcdf0-a931-4716-ae11-930073f2bf68 · outbound

This paper cites Each dimension is scored from 0 to 5, where a higher score indicates better reasoning quality.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Each dimension is scored from 0 to 5, where a higher score indicates better reasoning quality

Reference 85

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no resolver link, observed 2026-07-31T23:32:01.595373Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:01.595373Z digest=sha256:5424f82c0e64bc589a46f0a46005205fa3631a4acb2ddd71a8600604935ccd83

Observation 4c5449c1-39ba-4b7b-8301-175cf44db569 · outbound

This paper cites Can include one or multiple individuals.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Can include one or multiple individuals

Reference 86

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no resolver link, observed 2026-07-31T23:32:01.759959Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:01.759959Z digest=sha256:9f5906a0465e1ad5fc4807405ab2579a43a921700d98eaf5df91406f44d3fd7c

Observation 85f0c0b9-e2b3-4fa0-9acb-6444a367ef2b · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 87

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no resolver link, observed 2026-07-31T23:32:01.918717Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:01.918717Z digest=sha256:444970138bb3870db1811dd7edc0bd58fab48eac0cd03560ddf9ebb84a4da51d

Observation 65351f86-595e-424f-840d-d1a82936dd87 · outbound

This paper cites Focus on interaction patterns, emotional attitudes, conflict, control, neglect, or support.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Focus on interaction patterns, emotional attitudes, conflict, control, neglect, or support

Reference 88

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no resolver link, observed 2026-07-31T23:32:02.035569Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:02.035569Z digest=sha256:13dfe3b9028cbe9cd9c3774460f7b8e9550463e26007ccbef27901781eda86da

Observation 0b1c826d-44cc-41a8-ae62-4d246158fb6a · outbound

This paper cites summary":.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos summary":

Reference 89

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no resolver link, observed 2026-07-31T23:32:02.091080Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:02.091080Z digest=sha256:1b80bfebc31cf7e2aea49554fa121966901755e994a5a668643c567a4a122a62

Observation 00c63486-7bd8-4bcb-a78b-2becd975e2a6 · outbound

This paper cites You must explicitly select one of the following roles {profile} and ask questions from that role’s perspective.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos You must explicitly select one of the following roles {profile} and ask questions from that role’s perspective

Reference 90

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no resolver link, observed 2026-07-31T23:32:02.193487Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:02.193487Z digest=sha256:f3c4028cbafe3945d2928826bb8c69c1744157ff1788fc0273e2abfc0a5cf5b5

Observation 7d248aa9-ba9b-4f7d-a72b-6654441bcda1 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 91

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no resolver link, observed 2026-07-31T23:32:02.322571Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:02.322571Z digest=sha256:6e94cea66aab3b791bf8452117d6ff4c0203fc45b96c483bdbde5b55876b3aa2

Observation a3d81da3-99a4-489f-85c8-f31a53fa4b37 · outbound

This paper cites Questions should be helpful to people with mental health issues, aiding their recovery, or effectively revealing their psychological issues, inner thoughts, emotional struggles.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Questions should be helpful to people with mental health issues, aiding their recovery, or effectively revealing their psychological issues, inner thoughts, emotional struggles

Reference 92

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no resolver link, observed 2026-07-31T23:32:02.501190Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:02.501190Z digest=sha256:79d16b3e272c2322b1316137b27c56103919064a6ff060265bbe7dc26cbf1438

Observation 6abb8c7c-1cd2-4f94-9b1a-003dee12fa01 · outbound

This paper cites Analyze the root causes of their psychological distress.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Analyze the root causes of their psychological distress

Reference 93

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no resolver link, observed 2026-07-31T23:32:02.648915Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:02.648915Z digest=sha256:510f78170e4b44b2505fe8f2a9da6dec65bcb464ceeea282ce21f95cf8a2bec6

Observation a9a1a18b-cde6-48ab-891c-6b9763b63099 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 94

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parse uncertain
no resolver link, observed 2026-07-31T23:32:02.785616Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T23:32:02.785616Z digest=sha256:2efbf2d418618d696623e7a5f7491017820b33b27b7ad73a19071f1cc01c2a58

Observation 895cce28-d838-41e3-a9a9-a0f879011b60 · outbound

This paper cites Avoid using absolute words such as ”always”, ”never” or ”completely”.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Avoid using absolute words such as ”always”, ”never” or ”completely”

Reference 95

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no resolver link, observed 2026-07-31T23:32:02.942598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:02.942598Z digest=sha256:e3a6d2b8330a86e705c80435e3c5afe0ed4af6278768ba5d30e6aa085564d2f5

Observation b44b15da-fd5c-4d66-85f6-63d2d55161d4 · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 96

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no resolver link, observed 2026-07-31T23:32:03.044008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:03.044008Z digest=sha256:1c37c4c46b30b71d80da5a25f6d34a5c3737da53c6c0d330f1bf2d413418c7f9

Observation 081a2c79-dbaa-4375-90bc-6de78f8f4b1e · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 97

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no resolver link, observed 2026-07-31T23:32:03.107350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:03.107350Z digest=sha256:6c4d153d67513348ae8c4ff19cfbfffe4330246039cbd7a8eed08e94ef3f875d

Observation 00c9939e-eccc-46e5-8200-a745089a7af1 · outbound

This paper cites role_play_scenario.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos role_play_scenario

Reference 98

Resolution
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no resolver link, observed 2026-07-31T23:32:03.161991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:03.161991Z digest=sha256:9891cca62990953313edec9b43e8e783be77d86eae1974aa4c9a9b908c3a42dc

Observation 9c6e342d-c671-481a-9c8d-274de326b1e8 · outbound

This paper cites If it does not, clearly state the reason (Within fifty words).

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos If it does not, clearly state the reason (Within fifty words)

Reference 99

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unresolved
no resolver link, observed 2026-07-31T23:32:03.207728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:03.207728Z digest=sha256:f7e70c1451259a0eb082b562af917d053cf0eeb601d78b60fbd23a9afd3358d8

Observation a53dc807-99e9-448d-a096-1bb2c8188a9f · outbound

This paper cites an unresolved cited work.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work

Reference 100

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no resolver link, observed 2026-07-31T23:32:03.265225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:03.265225Z digest=sha256:cf496c88fb148968d0b18eea800fe25fdf539a86b05d50a969e3289ab7550952

Pith citing papers

No inbound Pith citation observations are available.