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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

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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:e4052abb47c815e829a8a50b18f2a9339d74f1f5270914eff40fc1091c690df8

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=sha256:41374125144dfa6260b606d4a85a329ae163e21081fa85b892aff2e8429b59b5

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=sha256:82d69cdfd155c969751d33f6d3e2a82601dd5b7d40f0b5e203c770dee7fc3d18

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:fbfb7c4f4a3f115c19f106ecc6d07b529ab9d6e3abf84dc279b16927a13d732d

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:d3139edea384e9453fce85dc55060209ed0616b64870986c5349953d94919168

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=sha256:536fbc63ff16cdcc2c374938c351bba69c0ac5891d5c3f82cd15435055639225

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:d205bc7bab27f6699975a52427bae778f020b3c605c609469a1642a601aced29

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:bf2f75cd23cd52f59a308fd3055f0f2de8b0fcf91633d0297cc9a816ebd8c567

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=sha256:73e2dbd3cc2c15305a48a9368527d2c829d25d0d352f158a602b1125d0ca76f5

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=sha256:3d2b40c9c13a6e226ce0df597649570397828de474b6b7a804a51f6e1b114aba

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:b97e9adf9bbce438df5acabe64b4f29f904290da2401ed6f1e5e027ed85cbaee

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:e25a027edaa339205e0dacf4d28ee1603ae3abd80a1840438720af0da1802d66

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=sha256:4c81539912f41b8fab93ee80a980484f1abe69f60804a3c91cc5ac88f9ae5caf

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=sha256:0c732662476873fb84c07af5c18bbe8d84668164140a32b889647b1e904810c9

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=sha256:0c46403d55376b27935b965535da309a3a12f3944a949945ee0abe39089a64c7

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=sha256:2b04beaa9dfad9d5fdd4755043a7bc99c9982c66fb498af4bf12f23b003791f8

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=sha256:443dc64698d03b0902c3f50a4ae99cdb91e4cbc9e7210a7b3ec6844c6a2518a5

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:aa1a439a62a1d363efae3120ca336f22cff6211ca41a52ecb9f6fb851c1860f7

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:a7dada37d0c5e6bf4c77fb47e594ae7d2bde8d8bc4fbb9dd2e25a3b82edfc6ab

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:d4218b2ef558cec44570dba3cb421ce580bb91b371750f48aef3b8443a823839

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=sha256:9d2d6cea9ce89a4a2485833e911314dca711dcaee9aa0da20efe54afdc7e77ff

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=sha256:6bc5f45961f0a406f1686d6c4b386ed65fcaaa9f2445999ad0b54b493dab2556

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=sha256:1e1196c0e99da0ab35bd75fb1f27179f2fe1f7159efe12add4809d1b137ac0ba

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=sha256:7f626c933e7c2e038b58699ae27e2a45d0f28ea53207926f1a793fb3b3919487

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=sha256:78a3e462f7e4a8bfcce2a8410d5b035070a3937ec1757d96c18feccf1b6132a2

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:f2536661898daddd91140aba113afcab08f6ed64c21eaa1f048666986a0b2526

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:adc36cfe147cf2c639e6b6b44334f2afa9f061e0eea130d427b971bdfd8e0c6d

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:d51aed0b2eb8b85c9c3d139b8c7432554741770e35a248ef78d73a0152cc34dd

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=sha256:24b34e0591ec6c4e7a88670407a5efe7e4128ea236750a53d1f2935881af2567

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:bed304680beb558c384d525aaded73f9a6be51f1489d1165cc7f3b12ac8a6473

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=sha256:74a3f80898c1917216f292a0891de6a4de39d88bd98d5b866b3ca26b9f06a56d

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:beef5933517316aea845358029d231d36155828bf65ffae960f279889d42355e

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:e56630b76f1a285bc7e8b0bf344e5a6cbe5307b70988e5c57d015c587dcf18f4

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=sha256:8115e3e4ff848935987dba6692f76e221ce4c5af0eae2000f03ebcab0ba0105a

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=sha256:3215d150a968f7477749af7e8af9060b1fda58ee28e9c50089664dabacbbe1c1

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=sha256:6a0af1a87a9483a5433b5ac88151097090b4d83e2718181b4f81e78bdddbe945

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=sha256:22e9c45476d1e5e699d504d64f7f2b73f204c0bf60483fdeebe24bd880431d4b

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:a56075556b3cf23752c21e250f362586ae277e9e23bdec85b1df24214ddb0ea3

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=sha256:24a5c48cf3a2924b212f7fb081b21837a5c2b4d587f80b0d8aa1c12b1f172de5

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=sha256:33aa9656a11ba8b22f5a87f4b3322b13c66228f46855fcbb6e1c6636a546b24d

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=sha256:9b2afe54a2961765809a657b23ff9ad147bab3603a4eaeb9bcb7b856e81de213

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=sha256:924473d13beb923e510c9ec3c2ed76140ae6131e00f4d3b57accf917356a73e9

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=sha256:30007d6c85df60307219d1e495f3e689abaefadc4659237fe1c09d0b748c5448

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=sha256:5b541b431c751b5eef2a822bbe81ea3de232ee3a6bbe8d0a91cc1e8fea2162d9

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:b39c1abcd22e3ff19caf5f37540e100ae41d9271117f5970dce362ee0ea7454d

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:ecbb9f20da511241c6ac33f623173ec3cd8ad9951b04756bc5af32dc64e92094

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:ebbaa60a17ec59bdf7b6f32c90dbebac296443edeb75e7998dad906657fce189

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:cc1191ddcd0fd3683022d756d7adad8a1604f0720f3d3b06491d73f4587521fc

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:ad2f6dbef65c813f243b2f2acc1bcd2b53112321d65794fc034f0dbe9f08fc80

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:eb5d05f863d4b3b911f2748341cb472cb78fe127f677864064e17a542cabc78a

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=sha256:0b3240adf89c518896a5e0280cad3a1fce4c75390af0ee4f1cd876fd67d60295

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:d7aa742bbd739b21596769165d2a635ef4ce52862880c382801fca76b885065b

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=sha256:5a0aa421a212a50a799728866f364cddb55bf92a5e07a335234b7ffe81003f86

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:e2514a9ab9bf48bacb14b65ed63bd9f602f0a0a3ca57ec105c432100602dfed9

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=sha256:3bb7264a1379dc41bfa6b672dfb8e26e82974e04d571080d3a709459b280dc98

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=sha256:834519d5d122bd82ce1e56228bcb92a29704002f87ae302fd393369f3ff82401

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=sha256:0f8e493549d86ec1af1e21465e6007f15974dcc44d2e8309f8986ae9b9e1481a

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:f68a001e9efc16059493f89c627e0dea22d7600f6401d63350bfd24b3ae087b7

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:e371f7747196b458585655375dc1b486bf4cbd2c1b50cd004b15c195e278aef6

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:dd93f5ac22a0e749d9ea0e2f12a20704029bfc4bf68f531625abde6b1efd7b0b

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=sha256:1d72a69989f9d016bb60ccc37450ae22602b5b6e8232856e6797ec968dce2160

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=sha256:39a3bca471a37658bd6819e82d7e515aa615ce331bcdda4906338ca7b7141027

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:afea98cdf899fad37e2d652a582970fd997772111a1d3569983b867f27559ef7

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:f22ca2566b90d718429df9de5152444f4eb15e3c511c8e8d3e9a8649c6e5c857

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=sha256:7f7f580c5d53b9aef0180cd8549f3a789320f588287ca38d2f8a2e2ac4d018e9

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:e954d12b845f60bb4b0ca2a9cd199ad4c24117c9411b619ca0f9f5115431d842

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=sha256:86e074afece5d25bb941957201eb92682e000451c34068edf10d9d9288eef42e

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=sha256:4d0a46fcdbcc7404acbc3422dc850b3e9a1496e86090d40c0dc701392e4840df

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=sha256:8521e202b71ce5f0b0edf4c59fe0cc039836d760ec641c04e13fb34279cf3f60

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:b6485d25c4b5ef6baf344967789b7cf945137e3717ce37f253f1ce3a7da9a9b5

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:a96c8813b4aabb47069220eb8a24643897473265692989ff400da82b82f2e3cd

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=sha256:1917e862820ee349b85acde40d5f587dea2ec3f04bc95865401a848a45e2c952

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:a63cd87b900b69d7dae61f25a7cdf1da8314516949ec1401c6b94e061fcb1a32

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:e4591fff3e1f4c9d1acd8424e9a179849cfdf3d42e9e923bd2ecd79195ecfbac

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=sha256:2bd1028fe086e014dcdb1287efbb433602b4a9a324e1d14a224511ba56d8eefd

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=sha256:5999493f129e93a5cbca463349458980bc21f4a4620ef722b0c488f82b31a5e1

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:ef49dd9753142e2fb93d921964cc754b6b996c96f26517834de88a6b25af1b97

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:00.841625Z digest=sha256:cf5ebd23daaa43c0f029d7079922215d4ed2b36361cd1d3423936c6e1baa842f

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=sha256:13427912f986ce7cf0a83ebb609e425dc88837a95a08f4b85d44cc827f2e9d8b

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

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source=pdf_text observed=2026-07-31T23:32:01.089304Z digest=sha256:fc3cf4f935d077d4302820c4427241eb602b49d0d6a0a2753c08e25094e88a44

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=sha256:0e24033a4947c1ec46fe7d220577932bea00582f628dcc1e0787dbc7d21053cb

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=sha256:96b9db4107fab27eb3f7be251eaa80b4aaa2821d4c95c87b60ee26e87864e88b

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:01.474638Z digest=sha256:18ffed643c380eaa8b5d7e582c74931e6997755603dba1b075de545c5c8aa4e6

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:c97176d2116414cb828a51181b7bda7f07ea3c3dd3960f9322b184ea7c0220e4

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:e3772fad0d1b7f3fa2c41b7fa105eef9bd4f7edda5002f33e5464d7807241a2d

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=sha256:1e935881d1c4ad0eedd99daa8d41a2cf91b87a887f42a25d0a8810415c59b91d

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:b1b35d993a31ff522b8d0ba57469f373191004a219fb7d783a85baa1b13d2715

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:c7b2b87fb43da5c1c8d5a28b7176739e3f25e3435b0c78a8d20c4037cdb33d63

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

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source=pdf_text observed=2026-07-31T23:32:02.193487Z digest=sha256:ec74ef0001aa49b93fb8f272269acca4609d693a8e9b2976278f4fb87d18ddd7

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:b74a66d5897ba9fea4fff69ec377631035cf16b8934764df38d60c63a17a57ce

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:02.501190Z digest=sha256:6edea02519a9af96b6cbe44965fee5d9bcd234b1e62696b913207e22902cf30b

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=sha256:8b6410c93786f1a1a46b9da4c22400c61eb914bf625c6a317deb2c48c80a5ea5

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:02.785616Z digest=sha256:d552898b7666199929e6520bf3a349ce63021c460f0c7761f1eebc1df558cc0d

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:e44f428b14ddebfe98e5b953aea6998a45a84af964ac7b3ddab0a2eab49c5b9f

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=sha256:2883f120bfdbaeb613aa5fc93672401766673febae788ccddc136a55869cb146

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:be5f694e70c734033a30c6ea6ceee2e5c558d7d3385aacdc2b25133533a5292d

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:a0c12c7263577a1d0430a2c5931adf74276dd7d71f336f63775aa9e03495f1e0

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:f5613111ba4c80994db52c4a352e05a3747310f2c7512f4ba9587bb7b31fdf5f

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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unresolved
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=sha256:73250199d9745396a7c74c78530daa30821afc93a1f1645a4ef8ace1e1164c04

Pith citing papers

No inbound Pith citation observations are available.