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Paper Citation Record · LEDGER

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2505.18484.

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

pith.paper-citation-record.v1
2505.18484 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:40.081413Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:39.943231Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T19:08:59.274757Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved7
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ceb724ee-326e-485f-9289-1f38c0881b09 · outbound

This paper cites articulate.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition articulate

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.518009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.937922Z digest=sha256:097a1f7c376308372b69e10fab0e9444ecc15ded9f3723b559432bb9ee2e1f3a

Observation 2f4dce82-3a37-479b-a928-ee231547cc4d · outbound

This paper cites Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:39.943231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:39.943231Z digest=sha256:3b189f1300a88885cd912f41c85d00b8751613fb7ac7d8fec39c0120fd28b8d9

Observation f9ad77d0-9c4e-4490-a303-d8ca2a222d84 · outbound

This paper cites ang”, followed by “er.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition ang”, followed by “er

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.506799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.947336Z digest=sha256:afbf99a161d7ae2622a2b04003ef0220422ad377d893eb881d75fe0ea9f2f7bd

Observation 9727d8f2-1ac1-45b9-aac6-ef92648a0854 · outbound

This paper cites an unresolved cited work.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Unresolved cited work

Reference 4

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T14:34:40.493956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.952181Z digest=sha256:85de6bb6979dcac84d19dbf447ccc94a9ec3e77a600211ca551dd3f4aa7bc496

Observation 162b2ddc-0356-4d85-9d8b-be6b00a467fe · outbound

This paper cites iness 6.46 2.44 0.43 0.08 0.7.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition iness 6.46 2.44 0.43 0.08 0.7

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.482747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.956621Z digest=sha256:42d5612328c77a3e0eb73b72e3fb82512dadc4b4dd2aea2b30c21eba3fe835ae

Observation d58368ca-9bf7-48c6-831e-4752d2b39148 · outbound

This paper cites an unresolved cited work.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:34:40.470922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.960467Z digest=sha256:c5d77f0044ce3b2564dda86c3847b7b8a63858a387e7b329c02f4062658e4c2d

Observation e60dbd52-17ea-4ab7-bfb4-7a0dc9e926f7 · outbound

This paper cites Performance on ambiguous SER Table 1 presents the performance of ambiguous SER using ambiguity-based metrics, evaluating the entire distribution pre- dictions.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Performance on ambiguous SER Table 1 presents the performance of ambiguous SER using ambiguity-based metrics, evaluating the entire distribution pre- dictions

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.458230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.964972Z digest=sha256:66907f42616b82d091ad08691e738a5d360089977891f48d2e7aafc72b70fa8f

Observation b77a4294-41ae-47f3-86d6-85906e4a459e · outbound

This paper cites an unresolved cited work.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:34:40.445105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.969631Z digest=sha256:ccfbe55602bc1fd211d076ae31014286122339ff90f2bb2bde0f5835c2e9c85e

Observation b10068ab-5200-40ff-8bd9-308d87c67a97 · outbound

This paper cites Speech emotion recognition using su- pervised deep recurrent system for mental health monitoring,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Speech emotion recognition using su- pervised deep recurrent system for mental health monitoring,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.433202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.973471Z digest=sha256:aeb1ca64f697172c3159a2dda0071709fa5317ac2586e4623006d15c10b3d59c

Observation b7ac49fc-b52c-4913-bb7e-d096c11a17c1 · outbound

This paper cites Speech emotion recogni- tion approaches in human computer interaction,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Speech emotion recogni- tion approaches in human computer interaction,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.420540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.977398Z digest=sha256:addafffedd4d88ddbac5bbcee1f68e50c054320e36021ef37adc4512ebcf08f4

Observation c615b57c-b495-4fec-9242-2070302efb02 · outbound

This paper cites Beyond silent letters: Amplifying llms in emotion recognition with vocal nuances,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Beyond silent letters: Amplifying llms in emotion recognition with vocal nuances,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.408252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.981924Z digest=sha256:5887441a6f103bec74f442ca6854f0b17821ccb3757e1e47e9f7bb7b6ddacf1a

Observation 23a65b8c-d306-4f90-8c3b-d403cd64643e · outbound

This paper cites From text to emotion: Unveiling the emotion annotation capabilities of llms,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition From text to emotion: Unveiling the emotion annotation capabilities of llms,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.394965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.985505Z digest=sha256:b280f77caf5ecbf63dc6ae2ccab1f28d0085bffc31ba7c0a6e31ffd43c7818fe

Observation c83cbbf4-3fdb-4864-82e0-4d1782aebb1b · outbound

This paper cites Foundation model assisted automatic speech emotion recognition: Transcribing, annotating, and aug- menting,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Foundation model assisted automatic speech emotion recognition: Transcribing, annotating, and aug- menting,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:39.989281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:39.989281Z digest=sha256:4492a226c4a01b02334aa9f0fac38e2df5c2e88e0d096aa5458435613d248784

Observation 1e2be274-14c1-416b-b1c7-68aa6382ad07 · outbound

This paper cites Interpreting ambiguous emotional ex- pressions,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Interpreting ambiguous emotional ex- pressions,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.375569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.993193Z digest=sha256:fee7cc5be8f8a40772ebdfb59cb8ab0addd629515518459badb3dba27c3205c6

Observation 358189d0-c283-40e2-9a88-25e59c59a193 · outbound

This paper cites Emotion recog- nition systems must embrace ambiguity,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Emotion recog- nition systems must embrace ambiguity,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.364400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:39.996641Z digest=sha256:252971a5b7c9336fda26a6b13d0f3a8c7ed8c743dc34c0b74f46d2ef6bc3241f

Observation ab774182-4eb0-4374-9649-ccb6f38d350e · outbound

This paper cites An investi- gation of emotion prediction uncertainty using gaussian mixture regression.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition An investi- gation of emotion prediction uncertainty using gaussian mixture regression

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.353131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.004953Z digest=sha256:9e55b6fbaa0f42e8b62c704fb0cd717bddea1ba195f37283da02c5828ec8d86f

Observation 1d2e9abb-0e53-4f32-83d5-a07143b690c8 · outbound

This paper cites Dynamic multi-rater gaussian mixture regression incorporating temporal dependencies of emotion uncertainty using kalman filters,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Dynamic multi-rater gaussian mixture regression incorporating temporal dependencies of emotion uncertainty using kalman filters,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.342621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.009475Z digest=sha256:d9b7df5e537572512c8b35602beea8eded70d9fec903639cdac3ef7129309273

Observation d4b221f7-2ff7-4b78-9e67-da65a10f6471 · outbound

This paper cites Child emotion recognition using probabilistic neural network with effective features,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Child emotion recognition using probabilistic neural network with effective features,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.331650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.013320Z digest=sha256:98fe2784a595be50e530e48be3dd4892a47236e22e466f3c482245539d9c2565

Observation ecd59617-02d2-4387-9e8f-fb12fe70d5ea · outbound

This paper cites Text emotion distribution learning via multi-task convolutional neural network.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Text emotion distribution learning via multi-task convolutional neural network

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.319847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.016783Z digest=sha256:1eb11d54f27bd54799bb7d771958944634eecd7a2887f034b2d0ba51dfa45630

Observation a9f3acc7-d4ca-488d-b758-049ac6f5d76c · outbound

This paper cites A novel se- quential monte carlo framework for predicting ambiguous emo- tion states,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition A novel se- quential monte carlo framework for predicting ambiguous emo- tion states,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.308531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.021081Z digest=sha256:4a11ea9b14c4505d568e8cce23c26aaec74d819a239e45f762dfa6533ca8185e

Observation d8dc7226-bbcc-42b5-8242-7a675eee69d0 · outbound

This paper cites Dual-constrained dynamical neural odes for ambiguity-aware continuous emotion prediction,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Dual-constrained dynamical neural odes for ambiguity-aware continuous emotion prediction,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.295557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.024819Z digest=sha256:b69c31036af4df5384f92bf0fca19628c83bb6046855669a4e64f0a2c560d605

Observation 57e4a674-5483-48d4-b072-1d6c043376be · outbound

This paper cites Aer-llm: Ambiguity- aware emotion recognition leveraging large language models,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Aer-llm: Ambiguity- aware emotion recognition leveraging large language models,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.283330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.028315Z digest=sha256:68b57eb993ce5677f45dcf201968ca41a236ea8bd195bc251a01a2dc9ec7b1ac

Observation 51e3bc6a-8fd7-4950-af47-16fbda7e5653 · outbound

This paper cites Robust speech emotion recognition using cnn+ lstm based on stochastic fractal search optimization algorithm,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Robust speech emotion recognition using cnn+ lstm based on stochastic fractal search optimization algorithm,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.270970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.031852Z digest=sha256:af9eecc0831d3604b5b54fad3d0c1741e2d3c02e1e5566481cf91de3154e3f1b

Observation 90465bd4-be80-4e31-be34-38fa8b631607 · outbound

This paper cites Speech emo- tion recognition based on multi-feature speed rate and lstm,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Speech emo- tion recognition based on multi-feature speed rate and lstm,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.259543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.035605Z digest=sha256:b4937104074e034343f8786df5ce0e380ee2a2218bfb416820e30430baa50991

Observation 9a7a54e8-28e0-4640-b64a-7c579543e0dc · outbound

This paper cites Multimodal speech emotion recognition based on large language model,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Multimodal speech emotion recognition based on large language model,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.247295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.039132Z digest=sha256:20b3f0203869090cdb869d523ace0d2e2c63ff0f80251a1d6c3efae12a2e39fd

Observation 6627bb96-7d3c-43db-b6d4-ca9c7245429d · outbound

This paper cites Mul- timodal emotion recognition using feature fusion: An llm-based approach,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Mul- timodal emotion recognition using feature fusion: An llm-based approach,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.235094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.042461Z digest=sha256:d8d4b70e5cf539501a5caf201f95b7bf40af3ab6ad8aca8a7d605dbe42399784

Observation bbc1c962-b208-4e6d-8b2a-cdb0ba1b87e9 · outbound

This paper cites Interpreting ambiguous emotional expressions,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Interpreting ambiguous emotional expressions,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.224117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.045880Z digest=sha256:bde3d033ce74feb2100084e771919474e21d1aef3049dcee4c7f0406953ce004

Observation 014415cd-e538-4d50-b584-6a65ec44b510 · outbound

This paper cites Multi-classifier interactive learning for ambiguous speech emotion recognition,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Multi-classifier interactive learning for ambiguous speech emotion recognition,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.212314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.050685Z digest=sha256:9623ccf9b7845e93c9c869c99a6640769a64789c28b3a692d7dea4d6b6e1b236

Observation 4069a32d-fdf7-4177-b7e4-966abd6cb4e8 · outbound

This paper cites Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:34:40.129002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.053991Z digest=sha256:a55a0b3691ba4ba54fa784dfbd5ee8434cd394e3007b7eb4525bbaf52a9a08b0

Observation 7c2dddc4-6849-42e4-99d4-3708d73e46af · outbound

This paper cites Using gaussian processes with lstm neural networks to predict continuous-time, dimen- sional emotion in ambiguous speech,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Using gaussian processes with lstm neural networks to predict continuous-time, dimen- sional emotion in ambiguous speech,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.201003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.058137Z digest=sha256:b45c4c4166cb123909bf0e0c582524ff1aa6efe11dbe3cf70ee21e94d1e28eee

Observation e7442c27-3216-407a-a91b-506acf1247cb · outbound

This paper cites Emotionally numb or empathetic? evaluating how llms feel using emotionbench,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Emotionally numb or empathetic? evaluating how llms feel using emotionbench,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.188829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.061736Z digest=sha256:a258ee4190909c94f012a983b889d5977b0b39cf1d610e87c20e1337f70a5330

Observation b4898dd0-bc1f-466c-ab81-acd5b1a638c8 · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Iemocap: Interactive emotional dyadic motion capture database,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:40.065616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:40.065616Z digest=sha256:b9bf42fbcc1e6614ec358b3ebaf45278259574595c738cea7689df5e23c484b0

Observation 9b01b4c5-364c-48d6-b95f-e89a1d3def48 · outbound

This paper cites Joint audio and speech understanding,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Joint audio and speech understanding,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:40.069502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:40.069502Z digest=sha256:ca0137ad6fa57ff460d8120c7f6cc0f5a28e3690a2c6b5f977b379100197bef3

Observation 319f9368-c3da-4c74-a19a-874b69a81e19 · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Robust speech recognition via large-scale weak su- pervision,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.165002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.073296Z digest=sha256:a04b94f4c492e5add1a9e4f01459a9febf9af63a9d80223bebc10476b6e807dd

Observation 693fa584-bcd5-4a42-a964-5d1b8868bed6 · outbound

This paper cites Listen, think, and understand,.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Listen, think, and understand,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:40.153392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:34:40.076975Z digest=sha256:240844b6ab561890ad2c0e9e9cfd562211a0a70bd80b9107542b57a9cb47289d

Observation 41b265b3-2616-44ec-888b-d2551d89d260 · outbound

This paper cites Affect Recognition in Conversations Using Large Language Models.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Affect Recognition in Conversations Using Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:40.081413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:40.081413Z digest=sha256:84bb0f494d28bb953328725478f096b977cb4a6dd304a247c829672dcde73b1f

Pith citing papers

Observation 2f4dce82-3a37-479b-a928-ee231547cc4d · inbound

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition cites this paper.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:39.943231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:39.943231Z digest=sha256:3b189f1300a88885cd912f41c85d00b8751613fb7ac7d8fec39c0120fd28b8d9

Observation d0cf2ed4-002f-405d-88a0-61037b8c5166 · inbound

Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding cites this paper.

Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:08:59.364163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:08:56.780027Z digest=sha256:9749d76b1ec5dcb87a22235d53e941bb47a3f21a3d9394004812f1164d6b321e