Paper Citation Record · LEDGER

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

As of 22 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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.

Pith citing papers

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