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Paper Citation Record · LEDGER

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.08696.

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

pith.paper-citation-record.v1
2501.08696 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:24:34.048817Z

measured 41 of 41 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

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8662c541-db9a-4d91-bfed-e176a46047dc · outbound

This paper cites The integrated motivational– volitional model of suicidal behaviour,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines The integrated motivational– volitional model of suicidal behaviour,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.550216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.858138Z digest=sha256:41c2c855afd5f48798e11805b0f46243162e21e7df75a600a0003b81ffa362e8

Observation 1cac3aed-6cb2-423b-ba10-aaa442cae74d · outbound

This paper cites Suicide research in mainland china, hong kong, and macau over three decades,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Suicide research in mainland china, hong kong, and macau over three decades,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.537694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.863979Z digest=sha256:d465ed9c9a147c5e805e7c2c0840d4ed4479c827f0f78c16b86d838692384364

Observation 4d133dcd-be2b-41a7-badb-6304abe5c664 · outbound

This paper cites The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.525218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.868431Z digest=sha256:d7e47949ad4702728131695f7a097e2dccf775e032dbe39fcef6b573a3d62ffa

Observation 689e3456-797c-42a9-979c-1e1a22baf563 · outbound

This paper cites Suicide-related calls to a national crisis chat hotline service during the covid-19 pandemic and lockdown,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Suicide-related calls to a national crisis chat hotline service during the covid-19 pandemic and lockdown,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.512960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.872750Z digest=sha256:fbef62f60732078bd1398f6b98c336381660fd89520fd485d1cb3861ef69f539

Observation e10c73fa-4974-47d3-a17f-5ba485102cf8 · outbound

This paper cites Follow-up with callers to the national suicide prevention lifeline: Evaluation of callers’ perceptions of care,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Follow-up with callers to the national suicide prevention lifeline: Evaluation of callers’ perceptions of care,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.501481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.878170Z digest=sha256:31e6bf10d16c3cd9e06ed89777e7d3c6491d3d4f5f6603252a0b9cc9cb0dffa2

Observation 57df0283-886f-40f5-90e9-5b97bde2a19a · outbound

This paper cites Helping callers to the national suicide prevention lifeline who are at imminent risk of suicide: Evalua- tion of caller risk profiles and interventions implemented,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Helping callers to the national suicide prevention lifeline who are at imminent risk of suicide: Evalua- tion of caller risk profiles and interventions implemented,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.488894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.883774Z digest=sha256:4bc3ae353816f54da1fcae67b68b2447b647f4064091b3fa30b64f5f948a59f5

Observation 7249b604-013b-4c1a-b538-a95a3cea9b1a · outbound

This paper cites Biologically inspired speech emo- tion recognition,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Biologically inspired speech emo- tion recognition,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.476016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.889256Z digest=sha256:8b93002f94bfca79cc4f8179d8b2cc4a2655fbc2ff19805f67716fd61a79cd98

Observation 2f841690-2a88-484c-8016-03a6e09a05cc · outbound

This paper cites An evaluation of suicide prevention hotline results in taiwan: caller profiles and the effect on emotional distress and suicide risk,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines An evaluation of suicide prevention hotline results in taiwan: caller profiles and the effect on emotional distress and suicide risk,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.461804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.894678Z digest=sha256:ad171b4ed83cd89eb4c86ca14cf8f55ac73f87f6d36882a1cb01289fd936b55f

Observation 3739c29b-1cb6-4b53-b76a-eed00bd6e593 · outbound

This paper cites Unlocking the emotional states of high-risk suicide callers through speech analysis,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Unlocking the emotional states of high-risk suicide callers through speech analysis,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.449224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.898689Z digest=sha256:e158d9cfc4de6cf39bb036c59aaee0e02fefb8d187a8ee681af046353588623c

Observation 05063dcc-3a2d-4b0a-a140-ad7aff0dfacf · outbound

This paper cites Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model

Reference 10

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verified exact
local_arxiv, observed 2026-08-10T20:24:34.170179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.903636Z digest=sha256:c768b39995a218463000174c84a960eb8512ad4cdcd35d2b3852aeae94fe8d1c

Observation 55f5ef14-2573-4221-8a5e-d092bac6305b · outbound

This paper cites Speech emotion recognition approaches: A systematic review,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Speech emotion recognition approaches: A systematic review,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.432993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.909523Z digest=sha256:9dc55f6c4f653a9c452b2ec35797c6fcd9f3846f890b04bcc2e58d709b9c30bd

Observation 0c5dce91-c262-42ce-99ec-8713dcccf33b · outbound

This paper cites An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines

Reference 12

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unresolved
no resolver link, observed 2026-08-10T20:24:33.914099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.914099Z digest=sha256:0df52ddc1f3237c96d0a9be187d656e4bb5bf9493c84b4f725202b907071b708

Observation d53151f6-9f12-422c-ba9a-8cc87dad449a · outbound

This paper cites Emotion recognition from natural phone conversations in individuals with and without recent suicidal ideation,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion recognition from natural phone conversations in individuals with and without recent suicidal ideation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.417652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.919796Z digest=sha256:4366e57415d3afb36a2fd0ae094c4485c66118f3e1671c0f3e8f321501b8dbe3

Observation e0a00247-d1be-4c4f-b3c1-755ed11c617f · outbound

This paper cites The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.403401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.924260Z digest=sha256:d9dd4809fe1d292eacd9ececba9d6892eaaae8f3b1c3f69ab8a2f628bba8188b

Observation 46ba2c5b-2597-4699-8584-9135c18e06b6 · outbound

This paper cites Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.929359Z digest=sha256:7b66ac1c959b59d9986acbbd670ffa439322c24838401dd9e03de9ca431165f6

Observation f273bd14-05a8-493c-aff9-09ec80238489 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Robust speech recognition via large-scale weak supervi- sion,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.933825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.933825Z digest=sha256:b859f48f284c3c64ac9ec0940466f04d75f8b5778fdc42e1c9ba739cfd3d9c23

Observation 0a8445c5-5f33-4ce8-81fe-7dcecacf8938 · outbound

This paper cites Speech emotion recognition with co-attention based multi-level acoustic information,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Speech emotion recognition with co-attention based multi-level acoustic information,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.937513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.937513Z digest=sha256:115977dfef0094bd00b004291fa7233338100c2376ad3f41d0870f4decaf02a3

Observation 1af0178b-8955-4a14-971f-90671af84409 · outbound

This paper cites Dual-tbnet: Improving the robustness of speech features via dual-transformer-bilstm for speech emotion recognition,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Dual-tbnet: Improving the robustness of speech features via dual-transformer-bilstm for speech emotion recognition,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.375266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.941438Z digest=sha256:83d0fdb44c3f58099aaf9eb5f60428e893c49679160f2055dd32608a87903ccf

Observation 86e778f1-2cb7-4b9b-9c4f-4925a63a0bed · outbound

This paper cites A robust pitch-fusion model for speech emotion recognition in tonal languages,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines A robust pitch-fusion model for speech emotion recognition in tonal languages,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.363927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.945512Z digest=sha256:c28de0627405c0c6d8583591dddc6dc73ed74d4f26f1a5b260ae763fddcc92f1

Observation cfb963d7-68fc-48bb-809f-a6c458e815c1 · outbound

This paper cites Emotion neural transducer for fine-grained speech emotion recognition,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion neural transducer for fine-grained speech emotion recognition,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.352922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.951728Z digest=sha256:12e7dc69846226ee7d21ca20c7ef09b5ed13c7fff037835cfc7b74c7f0225993

Observation fbd40dcc-272b-40b7-8653-3dd319c94a12 · outbound

This paper cites Deep learning based speech emotion recognition for parkinson patient,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Deep learning based speech emotion recognition for parkinson patient,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.342059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.957456Z digest=sha256:89c6226dcba3037285089c73cee4df088b622d67ba85a13f801bd79eadc51332

Observation 2ca5dbc7-bd33-48e5-b86d-c9fcebd05ce4 · outbound

This paper cites Emotion recognition from speech using mfcc and dwt for security system,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion recognition from speech using mfcc and dwt for security system,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.331384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.961246Z digest=sha256:a2ca58d9b33c9b956083e76a9700c00c608328244f7e71f3c3c18cf2a44c41db

Observation 24505358-407d-4ac5-82b2-79f37f6a5208 · outbound

This paper cites Investigating trans- former encoders and fusion strategies for speech emotion recognition in emergency call center conversations.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Investigating trans- former encoders and fusion strategies for speech emotion recognition in emergency call center conversations

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.319916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.965751Z digest=sha256:739d2eea8e66480e6177030483af24ced4d86803b18f00bffeb93b5d57915f42

Observation 65eba4da-7f4c-4f4c-8e27-3d9634150f7f · outbound

This paper cites Emotion recognition from speech: a review,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Emotion recognition from speech: a review,

Reference 24

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no resolver link, observed 2026-08-10T20:24:33.969963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.969963Z digest=sha256:5ff2717d032f44e39c8763eaca2a52ceea16a0dd606f6d8aef98b8f560752000

Observation bf6bb0d6-5af5-4d2f-99fe-f410d88d66d2 · outbound

This paper cites Speech emotion recognition via multi-level attention network,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Speech emotion recognition via multi-level attention network,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.303181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.974568Z digest=sha256:9eb7a7810fe1b6066e3b32dcf4d4a4e59b4d558b708626ddf4a51f8950c9fd65

Observation 35e9bc17-cd9c-4db9-983d-3993d08f16de · outbound

This paper cites Stutternet: Stuttering disfluencies detection in synthetic speech signals via mel frequency cepstral coefficients features using deep learning,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Stutternet: Stuttering disfluencies detection in synthetic speech signals via mel frequency cepstral coefficients features using deep learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.290866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.979303Z digest=sha256:c8cad702fa449687b7d43b63c31cb093aa613326fdfb33c49da6daf3402ef400

Observation 471f87b0-d449-421b-bee6-3d475013ef09 · outbound

This paper cites Attention is all you need,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Attention is all you need,

Reference 27

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unresolved
no resolver link, observed 2026-08-10T20:24:33.983301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.983301Z digest=sha256:49471ab78d30dfcd665f95686e74d9fd30774ec573e325d95720d29c896137c8

Observation 93ce33f7-2f19-4831-930e-11919841edd1 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.987776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.987776Z digest=sha256:f76442f94ee9694cc0df5b524cdfc1fba41f29b03ca75b3712cc6ada019b81fd

Observation 5dd720d2-62b3-4924-80b7-bf1135d851ec · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.992452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.992452Z digest=sha256:fedd0b749c12d3effd301a4b52f148459ec7a3e6c89601d5ca6140d9316050ee

Observation 7b2b00cf-302e-4477-9c45-fbcf8417b58a · outbound

This paper cites Automatic speech recognition system for tonal languages: State-of-the-art survey,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Automatic speech recognition system for tonal languages: State-of-the-art survey,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.261085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:33.996993Z digest=sha256:bea1ce41523548c258db562a1c395bb7258149fd1fa079f73d60a30b60f03abc

Observation 2d9c8888-8081-4f3a-a764-560956d11987 · outbound

This paper cites Mispronun- ciation detection and diagnosis model for tonal language, applied to vietnamese,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Mispronun- ciation detection and diagnosis model for tonal language, applied to vietnamese,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.251111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:34.000954Z digest=sha256:ceea8a69c2bc4a14d0ed3fa1728e825e1a98948b1cf838b8ccda3e0ece1b14a7

Observation 1cc791c3-6d6e-4c76-9918-0655c37bc766 · outbound

This paper cites Multi-level speaker- independent emotion recognition using complex-mfcc and swin trans- former,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Multi-level speaker- independent emotion recognition using complex-mfcc and swin trans- former,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.239395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:34.005039Z digest=sha256:6181dd7515978852e0c61bd1ef6f549d2584e7a935cd1df4db9d06114e708319

Observation a54f4dde-eee9-4c04-acb6-676d8787004c · outbound

This paper cites Prospective study of association of characteristics of hotline psychological intervention in 778 high-risk callers with subsequent suicidal act,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Prospective study of association of characteristics of hotline psychological intervention in 778 high-risk callers with subsequent suicidal act,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.228782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:34.009604Z digest=sha256:4c5e09b724a2b6a13a5029c651a17e749ee74864f7aec68526b848b8cc09b577

Observation 299e6ac3-c221-4bf0-9ef3-2ec9d04fcb14 · outbound

This paper cites Predictive value of suicidal risk assessment using data from china’s largest suicide prevention hotline,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Predictive value of suicidal risk assessment using data from china’s largest suicide prevention hotline,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.216308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:34.013437Z digest=sha256:6067c72cb5bab7fedbea4c85f6f73b3e3955677dfb1fb8eda8c5327e903424d8

Observation ec139348-a02b-4f2a-b567-a19eaf27591d · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.019725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.019725Z digest=sha256:7d1c27c4cf11751a2966e678dff822755dd4fb30b4bd9bcbcfff8b6e8a09b95b

Observation b2eb1122-4a9a-44b3-9555-1dc409910eeb · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Common Voice: A Massively-Multilingual Speech Corpus

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.024941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.024941Z digest=sha256:aee6a7789fd84ce3d9098cd5fbad58132ef37d9cd7135b75ec43e7b775996f2c

Observation c3cafb94-4cfb-41bf-975a-708b45e18757 · outbound

This paper cites CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.030251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.030251Z digest=sha256:76fd0b3918683219284dc0d065d6e1813acaead5d0ff8e34383f8c3ce15a9b9b

Observation 30ef9027-6dae-4b9d-b347-c1005b5b3f86 · outbound

This paper cites St-cmds-20170001 1, free st chinese mandarin corpus,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines St-cmds-20170001 1, free st chinese mandarin corpus,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.199700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:34.035831Z digest=sha256:848448a3b01377a805fa0c6f5210ff8bc28e5154545a20afb41c1e31b2298e89

Observation e749c1ec-fd1a-48e4-b02b-3eea39654d8f · outbound

This paper cites Wav2vec2-base-vi,.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Wav2vec2-base-vi,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:24:34.188324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:24:34.039948Z digest=sha256:7e86a0061df2678603c0587687eb1ba2afe4a2128dbd8ac2773be60ec5cdbbf7

Observation 51c3bf4b-de3d-44bf-a73e-1a7b54d0e3ba · outbound

This paper cites librosa: Audio and music signal analysis in python.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines librosa: Audio and music signal analysis in python

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.043831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.043831Z digest=sha256:135cd46c52d556de759ab418a941359d5bb02159fd85167387446457195b99a9

Observation f5dbe70b-99dd-4966-8711-670ba85cd7ce · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines Adam: A Method for Stochastic Optimization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.048817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.048817Z digest=sha256:74a3669b81d798b76598435b361c13be62a5c3f5099da08d91fee37b6655b7e5

Pith citing papers

No inbound Pith citation observations are available.