Paper Citation Record · LEDGER

MDD-Net: Multimodal Depression Detection through Mutual Transformer

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2508.08093.

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

pith.paper-citation-record.v1
2508.08093 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:43:12.144085Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

33 of 33 outbound references displayed

verified exact1
verified fuzzy29
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06f1d794-39d1-4348-b5fd-8b4c95089bc7 · outbound

This paper cites Major depressive disorder,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Major depressive disorder,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.398927Z

Source-reported events for the cited work

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Observation a5467929-d6f1-4492-848a-08b5014d4f59 · outbound

This paper cites World mental health report: Transforming mental health for all,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer World mental health report: Transforming mental health for all,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1da3c64e-be8f-4ba6-86c2-4efc17f6b7fd · outbound

This paper cites Review of automated depression detection: Social posts, audio and video, open challenges and future direction,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Review of automated depression detection: Social posts, audio and video, open challenges and future direction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.389275Z

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Observation 917b9a32-1d03-4c46-9581-a9969705cb4f · outbound

This paper cites Multimodal machine learning for mental disorder detection: A scoping review,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Multimodal machine learning for mental disorder detection: A scoping review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.379800Z

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Observation c69c404d-9955-4d60-a394-ce96159b5f3b · outbound

This paper cites Depressive semantic awareness from vlog facial and vocal streams via spatio- temporal transformer,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Depressive semantic awareness from vlog facial and vocal streams via spatio- temporal transformer,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.370229Z

Source-reported events for the cited work

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Observation 3bec9582-887f-4814-aac5-182cb608bc4d · outbound

This paper cites Gender- aware estimation of depression severity level in a multimodal setting,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Gender- aware estimation of depression severity level in a multimodal setting,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.359597Z

Source-reported events for the cited work

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Observation 183420f3-e5b5-451f-a76c-6aaf2fdcafdd · outbound

This paper cites A hierarchical depression detection model based on vocal and emotional cues,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer A hierarchical depression detection model based on vocal and emotional cues,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.349341Z

Source-reported events for the cited work

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Observation e81c702e-e5b7-482d-b3c7-c266e97de874 · outbound

This paper cites Multi-modal depression detection and estimation,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Multi-modal depression detection and estimation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.339901Z

Source-reported events for the cited work

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Observation b273932d-764f-42e0-a779-8bbd04b7b856 · outbound

This paper cites Multimodal depression classifi- cation using articulatory coordination features and hierarchical attention based text embeddings,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Multimodal depression classifi- cation using articulatory coordination features and hierarchical attention based text embeddings,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.330649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ad89d42-be91-4831-87cc-e66338ac67ec · outbound

This paper cites Depression diagnosis and analysis via multimodal multi-order factor fusion,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Depression diagnosis and analysis via multimodal multi-order factor fusion,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.321895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5eb5cd62-84d3-4d16-bfa1-17cbd236e0a7 · outbound

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

MDD-Net: Multimodal Depression Detection through Mutual Transformer Automatic depression detection: An emotional audio-textual corpus and a gru/bilstm-based model,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.312911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b6bc780c-28cc-44f4-9b65-0bc8e9d6fefa · outbound

This paper cites Tamfn: time- aware attention multimodal fusion network for depression detection,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Tamfn: time- aware attention multimodal fusion network for depression detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.304109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16d9638a-2985-4105-9291-d41470d79ee8 · outbound

This paper cites D-vlog: Multimodal vlog dataset for depression detection,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer D-vlog: Multimodal vlog dataset for depression detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.295578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5f75e794-48ce-4970-bf43-d89a661051c6 · outbound

This paper cites An overview of tools and technologies for anxiety and depression management using ai,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer An overview of tools and technologies for anxiety and depression management using ai,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.287170Z

Source-reported events for the cited work

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Observation 8c9e663b-4da4-409e-a2ae-615d41f615ca · outbound

This paper cites Depression detection using artificial intelligence: A review,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Depression detection using artificial intelligence: A review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.278066Z

Source-reported events for the cited work

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Observation 3659c6c6-7dd5-4d05-9113-0464057d4a25 · outbound

This paper cites Comprehensive review of depression detec- tion techniques based on machine learning approach,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Comprehensive review of depression detec- tion techniques based on machine learning approach,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.269004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62d9d08c-5be8-4f58-8c96-48278d2c8047 · outbound

This paper cites A multimodal approach for detection and assessment of depression using text, audio and video,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer A multimodal approach for detection and assessment of depression using text, audio and video,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.260485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44e2d601-01f7-4123-98ab-4c51577a8c62 · outbound

This paper cites Ccfn: Depression detection via multimodal fusion with complex-valued capsule network,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Ccfn: Depression detection via multimodal fusion with complex-valued capsule network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.251418Z

Source-reported events for the cited work

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Observation 39774778-15d5-48d7-8be6-254039c3345d · outbound

This paper cites Depression detection using emotion artificial intelligence,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Depression detection using emotion artificial intelligence,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.242603Z

Source-reported events for the cited work

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Observation 6ccf493b-b884-44db-89aa-17b6b7a63cec · outbound

This paper cites Automatic depression detection using smartphone-based text-dependent speech signals: deep convolutional neural network approach,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Automatic depression detection using smartphone-based text-dependent speech signals: deep convolutional neural network approach,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:15.233381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8362c14f-a510-41eb-a2a1-cb91c23d34c9 · outbound

This paper cites Emotion recognition with eeg-based brain-computer interfaces: a systematic literature review,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Emotion recognition with eeg-based brain-computer interfaces: a systematic literature review,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:14.962239Z

Source-reported events for the cited work

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Observation 50b5b98e-7107-4473-a436-74869ef6f091 · outbound

This paper cites Visually interpretable repre- sentation learning for depression recognition from facial images,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Visually interpretable repre- sentation learning for depression recognition from facial images,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:14.598787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52010cd6-0306-4d70-bd62-966347cb4405 · outbound

This paper cites A com- prehensive review on deep learning-based data fusion,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer A com- prehensive review on deep learning-based data fusion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:14.285148Z

Source-reported events for the cited work

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Observation 5fd46377-c44a-44a7-a206-6014c380396f · outbound

This paper cites Detecting depression on video logs using audiovisual features,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Detecting depression on video logs using audiovisual features,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:14.134083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e192f31-9fc5-4c50-8d73-1f02dd8ff55e · outbound

This paper cites Mdavif: A multi-domain acoustical- visual information fusion model for depression recognition from vlog data,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Mdavif: A multi-domain acoustical- visual information fusion model for depression recognition from vlog data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:13.908690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db367c12-bd55-4f5e-a0d2-52ffefa30d03 · outbound

This paper cites Global Self-Attention Networks for Image Recognition.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Global Self-Attention Networks for Image Recognition

Reference 26

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Source-reported events for the cited work

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Observation c8afe4da-52e8-45cd-b5cc-184bba3b0e49 · outbound

This paper cites Attention augmented convolutional networks,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Attention augmented convolutional networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:13.679563Z

Source-reported events for the cited work

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Observation 90277e2c-9f33-4e63-949a-beb88b1af19d · outbound

This paper cites Vision transformers with hierarchical attention,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Vision transformers with hierarchical attention,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:13.432926Z

Source-reported events for the cited work

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Observation 0d26b54e-b459-42f0-91d9-81df0bdc6333 · outbound

This paper cites When does label smoothing help?.

MDD-Net: Multimodal Depression Detection through Mutual Transformer When does label smoothing help?

Reference 29

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Source-reported events for the cited work

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Observation 053f124a-e970-4e82-a916-e6ea349e8336 · outbound

This paper cites t-sne visualization of large-scale neural recordings,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer t-sne visualization of large-scale neural recordings,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:13.198970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 587f14a1-c3b5-4b3e-a681-294bf1e2a855 · outbound

This paper cites A multi-modal hierarchical recurrent neural network for depression detection,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer A multi-modal hierarchical recurrent neural network for depression detection,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:11.938712Z

Source-reported events for the cited work

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Observation 5cd938de-edb3-4ac2-b7d9-1c3ef2d300ac · outbound

This paper cites Tensor fusion network for multimodal sentiment analysis,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Tensor fusion network for multimodal sentiment analysis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:12.962520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 035d9570-3b98-4145-b275-ca0efe744577 · outbound

This paper cites Caiinet: Neural network based on contextual attention and information interaction mechanism for depression detection,.

MDD-Net: Multimodal Depression Detection through Mutual Transformer Caiinet: Neural network based on contextual attention and information interaction mechanism for depression detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:12.746739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.