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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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:a23f615c14fe9920bf8f92617fc3384e6a7ed418ef5183cf316cc3d77f043c0b

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:fc30bca216167c5d901684d2a52678c4b53fed350bfc9db0c67e7898e3a8dd0a

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=sha256:7770664364f5e08caeef197e8674812a4ff632d8aaae789b256ac31ae9406633

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=sha256:3b8f6355d89a039e6cc5e7c174fe60dd7af77af8f0ba30764df9bc6b6fafb4fa

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:bdb8a7e0ae49d2a7e1fd2a6361569ff067dcbd403f88c52f2c49dc897c156e8c

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=sha256:89c37b366aeea146cf1fd07bda46523852edda524ab6ceca4226e2d2626e530c

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=sha256:67d29c7c05df3b4f25c2bdc37ed8fee4c19d350bf4cf711acd30bcccc9194b4d

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=sha256:361a0187df21381a2ec719ce34e4e1a831dec350dc24e0236706e911ff8397b6

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=sha256:86982bfc3d21bb45f81c67ab8737eb6a2f019bacc341fdaa128db536df651b88

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=sha256:2bad35474fc742267a48d01e26cba4f7a5c1570534a97888fb6c21616e27ad83

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=sha256:83767c9c3e5af4fca2b1f7dcf2565310d36b3411c7bd8e54710428b53b8ac0a9

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=sha256:204eb0a7b07a0d4636b7856538d7c8420286c2e0364978e4348d593c2f09dc91

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=sha256:5e61ca8d9b3a900ad35d95dd6a5ff332ec14c54ffbb00e662e97e6a60c8183a4

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:bbcb1e88b820c4ef1ec2fe31311d3168459aa9484ce7c9d8bfa8d13e6b673e1c

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:dbefd9cb45e8b751fc569570a1bbc09a3f639a75dde82e0f19f230f34281848a

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=sha256:28fff8b0793ae355b105352bffa8e79904b57e0ca25950e13ca51a9bf5a9a315

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:d69817fc2764bda80b0d79cc476323ca7d6120f5c51b05b8abccb85d87da0b07

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=sha256:4466bb9e3fe4e99b8ad3bf77a035dcc91a17ba574f79df8cb43bd7e45c96393f

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:e3ba6d1dc4567c980208185e221d6c4ccc4da57fe1bb23f972274b9e5f8e74ef

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=sha256:8b5c268b102a0dbab185f2024afa5790dd4cb8753ecbc50349720792ddfa3635

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=sha256:82d53757eccfa18b3306697be2468f0e6bf55b6609f4eb34e390009406070a82

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=sha256:539f119c79e7c0f0e54427b0aac3e59e6b69447d9e0ce13686e839c01e6e46ec

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=sha256:0b2f61d1bf0991eb9efcd1df22a328a1cc621e87daf3c845ec59c5d868c0fead

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=sha256:050e7b42e6ca31590265f17eb4adf0fceadb75501eda696b33a9ba6162d4804e

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=sha256:864b87a7b395e0136087c7d3ca1e7797960890d0e394a94c6543b537cb921437

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=sha256:2d8609d924f6c28fd036aa7452e69d43c5cbb167dbdc1fa21f5dae7567ad95f3

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=sha256:8d0369e73d3244ca7eb9d8a73a04e5bdc938427edbe18d4bf429810106a0ccf4

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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source=pdf_text observed=2026-07-31T23:31:54.495563Z digest=sha256:10c8c395c1d7399b8858aefe2bc226be5e3b524c8330b2e7432c35ef9c81cde9

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=sha256:1c915bef9bcfff00a3dc86009e16565f23ef32b259a0ced696d017df220c3c4e

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=sha256:2e2c57f9fa491d18115be95a5789c31da1c2fc8ef0f0af9403af280cbd69469e

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:f84ee45c9921be317497d837d4c176c17973acb5565c0db022f49a878674a192

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=sha256:4b361f5e8ec0700fd900773069c10e3efce715d40aeb8663981fd19a07f9055c

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=sha256:8ff32e935051003d4d83b80abd0dd036a6abd74472abc490cff08104ab3dc37d

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=sha256:41f161417890fefcf96232d6f64b32fc3bb73443e0c8d4ed3a16c9663518d95f

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:e91d0f1da4e6c46f7df556ff055cb2a0b140184754080e2e8fa630f0f77f8c4b

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=sha256:58722179cb1acb2d0d4bc9d753fb581c8f6c89c109fb43bdf5c80bfcb2fa3509

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:c53472b9403e75c461fd2b59db52b24fc8c0cb493cbdf785c80984310904d2ad

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:f676c5c2197a7a7e3f1ae5be7676811e6e790d1dd4fd14fccb6e8e651e53bcfd

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=sha256:97b890fa28cf3b2376bb507a4a450003c664752c7cb5eeff23d9f01df2d9ee1d

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:aad6314ef66d4340dcb3ac282a138b9e227c38051834d3c3943de22de3e6526a

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=sha256:2c87753e2de45a0a8fd75e33bd9ff6a5d534363c0705bf9255ef0c81a05fc4b4

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:b7c9955b91f1f4e90e2a87edc8c10f733faf8b6d10ef452c838b196e593ad977

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:b91881a91d3e56c3023298f941e859b403b4fbde5834bc158fd7a1246ebd744f

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=sha256:46424ebdee903458c6ee4bc79b866a8ecdbc0071b867e8ed2cffceb5774e4909

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=sha256:1231315511dd97fd6127f623cc14b6687937e57b19173a9345bc8a2f86eb7672

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=sha256:126304d771a6dd615d9f8a478a9e3a69e979f4a88b01f2b9082a32e9541a2173

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:f6b32404143b5cefffc46f507dce30b51e6d94b35bd32f7d2c9054642be1a05f

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=sha256:3bd78e7cf0f7d15fb4678422b6188304176e286e48a8fbff6b7afe7491c23766

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=sha256:00118c2078fdd065301915d67d81856e67acb4afe5039ce1d7ea0cfc9c979abf

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:ebd98cd32a704abb34f5cf17d6db1283b6d7c36cd08431452ba033e0826de787

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=sha256:1f43b1201ce147c8ea0901f5c79fbd965f7aa17734c0d9f2f1ee92f4d2a3f5be

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=sha256:4b4194d3d4972db63d84884ccd64cdb10043e4904e4a9f6ff85bc2732ce0d0a1

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=sha256:3818865793d36c9c15363ca513156cbdcc3948ecffac8858145da828fc7c15e6

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=sha256:281f8397232e2a12c6f89f9c6db0123650dc5cd3ace387532d17f92eccb72b40

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=sha256:5d50a2e764efea23c9f1ab263d6c522ad98d9ba78d0950850caf8f496c0872d5

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:fa4dcbce0c5bbd0160ef871b31839ae95140d14e3dfc30a6ab1f1b598f0364ad

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=sha256:150f64ba5ff112209c80d3c65c653777c6b00212bea77450c998c22ffca878bb

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=sha256:9e31e00c8513a971ed1b8dd3bcc0ccf586457407067b41285daeb358deac1318

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=sha256:522397d0743405f84fc731e6c55a36ad2f236730ddb766e6d0de776302dee6f2

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=sha256:36843fc34981e2212c740d9af748be2567c64e639596d5d1dc825251d099454b

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=sha256:909c9e3437164922f5fe57a5c4243ad0e8091b5f7b1ac12a0ceef43133184331

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=sha256:92f08877b28c21968219a0dbf7b6071709434d3b777c16bba21ce12fbb773ea4

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:c6f67cb90aecf756cceeb9d57f4b9b575989f7a7d1145bde6a69d50f8ee54e3a

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:d32ac09659a4d589e1536c801ee7edeca3a3f7dc8cf647c2b37227fc233ea0a9

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:bd9069064171702f911b7df8c9d6457f237a189ba433d657c1e13e43359e0e53

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=sha256:51478b02b89c5c3366069806b38f55ee2e28744d2ca1ce818f59a2cded74c728

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=sha256:29caed74f1970e709af62f1ab29997015116b42678133c56a1627ec59a4a67df

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:a8b5adb5ac3c8e07e071b208b40870a40cca911a0e6099d3a4dffe81781f56a7

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=sha256:55e8ac6d256b55cc2a8930481c742690903de7750aabfad4bbf6a9e4940bb12e

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=sha256:8319c44fc3bf98daaa3f7142fe32f27a009af15cf50aee1f27ac0325daf8714e

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:a3f7fceec6e9f8644ae29e35ff44a616d86fc5586860284babd47271f67eed20

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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no resolver link, observed 2026-07-31T23:32:00.101755Z

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source=pdf_text observed=2026-07-31T23:32:00.101755Z digest=sha256:e8116f930e0197910460708c4a52498cab9f03b7b5f77974a3d420d2f879d749

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:a1a58f19a09564328fa386f675d893d36e9d299ee1a1c7880ea3a476eea93d2b

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:f681d7d4a5861f087ba7072eb73737f737b0d97f944101c3a2a7fb93c9bf5a5f

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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source=pdf_text observed=2026-07-31T23:32:00.426027Z digest=sha256:284a6b2459c1704cba5ff7e217df8f61815953f3d9dc7c6f469e170a24df2833

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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source=pdf_text observed=2026-07-31T23:32:00.568571Z digest=sha256:877bc7f1673aa94913297477e7a553e186078cb4d7f4f46d7572677f1e3f7d68

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

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source=pdf_text observed=2026-07-31T23:32:00.683123Z digest=sha256:ff0ecb40284c335ceb97a54e9b83ad70e749c07a428ceadfc68c67fe8ece0f29

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=sha256:66cd95c346095b0a7d6ecd8d78276843ddd56a1571b4824d886321b4eb61de57

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:b1086d9fb21857761cf37a08175f1f6406da874be6a02e26a24b8d73a41e2c60

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=sha256:2708cf5b0488a0bad3a2dac69cf4b52e0552ef19b93e7a081596c1a483450593

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=sha256:2077986ff219a6153ff06415355361dcaa510b378b23756229c3af79591db53a

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=sha256:1f0613c657cfe1f749e1ae532e086401f6ad53f6a427746b48191c83045781d5

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=sha256:06043c71ef08b5a3f773734594075ceb95803cfd5fd1328834cafafcb894bcc0

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:ad84e98ad013c627af3bfe2a045acb18e6c0f93566e570e344151ca65bc3398b

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:bb4f6e41b91903ed05890541a9db88b19be609764dd638cacae1e53edeac652d

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=sha256:6cc62aa4ca4f8f10051cf57c94102a2d01a0909e51b69913b10f3539e9fa8ee3

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:aeed957b34865f91e7d29f82fb928fba861696f51e9c039873e8c92bd01e0811

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

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source=pdf_text observed=2026-07-31T23:32:02.091080Z digest=sha256:eec0cbde81ea9505fde3fb061a6b6977ed74e2afaac1b808c83fb1d04a3eef0a

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=sha256:1142510db3a8e67e22f8b22f5ac5e895ef3958dcf6a07c42b9a295c0ed4204c9

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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source=pdf_text observed=2026-07-31T23:32:02.322571Z digest=sha256:a3e4f1aaa1743657c6226aab17ad5940de75a3d05e9f87a96b9402f5e0e1f0fa

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:fea3ffc41310616f45899fee2099c16d5104ae6a13b032bcfb73233d271f7edc

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=sha256:3150d554fc2eb009c5d3fe34a3c1e8d2c917f99b20ac15211bf94cd5c2aef518

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=sha256:7c3cedbb376ae61c8b3b1571afe61c112b4ef9bd6701fee91e44830159387093

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

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source=pdf_text observed=2026-07-31T23:32:02.942598Z digest=sha256:be5216c462c2e0fdfd42b0bae30bb518187f901b0df29efaa13ba9598582fdb0

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:f43f39a864dc4f5f0f664b52385a1db2ab2b2c5c33b413acfdd76f7542fdf3fe

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

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source=pdf_text observed=2026-07-31T23:32:03.107350Z digest=sha256:aca3193b7aa20199a50a4d618dd8e6f2be35a08c14b745d241122fb9596f69e1

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

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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:a4366405e88e99c7ca88f6e3fe6ce210a6824e9647739db9323ff2031af366f1

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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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=sha256:758925f874f40d1e52029b8a23b439ceee02163034819e81c5eab6f49035667e

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=sha256:3205ce6a82332a7c3395df5ed65c8a69c106e2ead4d663790a9ce79555e0a28f

Pith citing papers

No inbound Pith citation observations are available.