Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:32:03.265225Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 0 inbound Pith citation observations for arXiv:2607.27895.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:32:03.265225Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 110 outbound references displayed
External citation measurements
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Observation 232839a1-1d3e-4ad4-9a2b-e5d224093f8e · outbound
MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos GPT-4 Technical Report
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Observation 9035d6fd-cb8d-4d95-bc54-5cdab5612b5a · outbound
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
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Reference 9
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Observation ba07382f-aabb-4073-951f-7a3841eca566 · outbound
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Reference 10
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Observation 9356f17a-acab-44a6-97cd-d3f99b94d2e4 · outbound
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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Observation 81882d5c-72ce-41ec-8df8-48e0d8ebbe33 · outbound
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Reference 12
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Reference 13
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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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Reference 15
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Observation 5dc5c4ac-3794-44fb-9441-ac475658f37a · outbound
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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Observation 07ba25a2-484d-43c4-9c06-141102523341 · outbound
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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Observation 897ca25b-c10d-4b57-8b7b-33f4787b43ce · outbound
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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Observation 97aa3b60-992b-4fb1-b3e3-1ef9ce76784e · outbound
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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Observation ca7b7171-76b1-49b1-8edd-a648ea415e85 · outbound
MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Ministral 3
Reference 20
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Observation 9afeee03-51ba-4c77-a54d-84c9d23cb390 · outbound
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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Observation d4f890c2-efae-4af5-ac70-d92ddb7c6b6e · outbound
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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Observation 75e1c084-d86a-41c2-9a3e-998525928d13 · outbound
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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Observation 6680bc67-bba2-4b69-930b-c4d6d5b2bc98 · outbound
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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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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Observation 6d53efbd-d4ad-4a55-8405-55009e2f7990 · outbound
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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Reference 27
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Reference 28
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Reference 29
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Observation 4a6e854f-9583-4cb7-a80e-23375b75a4c7 · outbound
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Reference 30
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Observation 3468b942-2d21-4e4c-b391-1a16cf76b8e8 · outbound
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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Observation a628d33e-38c9-4c85-ac84-bd715cc43446 · outbound
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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Observation 250501ec-7718-4c81-baa7-ec34d6db0f8c · outbound
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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Observation 5427e447-662d-4561-be51-ce561c7a62b2 · outbound
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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Observation 4390d65b-d83b-4e7e-b328-978fd3718510 · outbound
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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Observation ec2b053e-bf5a-491d-97b5-c4501a5ecf83 · outbound
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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Observation 1c3aa1e8-dbc1-41bb-b14e-cc6267db7a85 · outbound
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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Observation e7d2334c-17d2-4f33-add6-ab45d971f105 · outbound
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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Observation fb23ae76-ba62-4a1f-870d-27f5e8bf3fb2 · outbound
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Reference 39
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Observation 2508e53a-d4c5-4a37-809f-08c924e77491 · outbound
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Reference 40
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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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Observation 30f1786c-d01a-4eae-a00a-b3933ec9f676 · outbound
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Reference 42
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Reference 43
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Reference 44
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Reference 45
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Observation 5ba5fd4c-5d55-4206-807d-f26eb0d92598 · outbound
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Reference 46
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Observation 9f4e55bd-a441-4b58-a981-27304e239e93 · outbound
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Reference 47
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Observation a7cc3107-85e2-4221-8f39-c43836c3b9f8 · outbound
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Reference 48
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Observation c6869e6c-742a-44b7-b4ae-6edf98de5a99 · outbound
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Reference 49
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Observation 5aca2e38-ad92-4763-90e0-5a0e7843f9c6 · outbound
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Reference 50
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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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Observation eab5471d-57b8-41d3-8d93-d252a426a218 · outbound
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Reference 52
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MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos (c)Narrative Completeness
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Observation 14f0aa3c-43ae-4089-93d4-dfb3a54bb4da · outbound
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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
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MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Focus on interaction patterns, emotional attitudes, conflict, control, neglect, or support
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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
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Observation 7d248aa9-ba9b-4f7d-a72b-6654441bcda1 · outbound
MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work
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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
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MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Analyze the root causes of their psychological distress
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MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work
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MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Avoid using absolute words such as ”always”, ”never” or ”completely”
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Observation b44b15da-fd5c-4d66-85f6-63d2d55161d4 · outbound
MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work
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Observation 081a2c79-dbaa-4375-90bc-6de78f8f4b1e · outbound
MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work
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MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos role_play_scenario
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Observation 9c6e342d-c671-481a-9c8d-274de326b1e8 · outbound
MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos If it does not, clearly state the reason (Within fifty words)
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Observation a53dc807-99e9-448d-a096-1bb2c8188a9f · outbound
MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Unresolved cited work
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