Paper Citation Record · LEDGER

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 3 inbound Pith citation observations for arXiv:2506.03403.

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

pith.paper-citation-record.v1
2506.03403 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:08:54.323131Z

measured 38 of 38 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:44.054286Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:39:35.710522Z

Reference resolution

35 of 35 outbound references displayed

verified exact1
verified fuzzy20
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f434d830-45bd-4214-ae3d-235176d34e17 · outbound

This paper cites By analyzing vocal attributes such as pitch, tone, and rhythm, SER systems uncover the intricate nuances of human affect.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition By analyzing vocal attributes such as pitch, tone, and rhythm, SER systems uncover the intricate nuances of human affect

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:00.153494Z

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.

Observation eb04ee7e-4a9b-416f-94b4-af15370cdc12 · outbound

This paper cites an unresolved cited work.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:08:59.898836Z

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.

Observation 2632f3bc-d069-4cde-af6c-8ae1c295cc67 · outbound

This paper cites For modeling indi- vidual representations, we use fully connected network (FCN) and CNN.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition For modeling indi- vidual representations, we use fully connected network (FCN) and CNN

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:59.673905Z

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.

Observation efb6f047-4113-4129-a479-ec99ea50dfac · outbound

This paper cites an unresolved cited work.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:08:59.373042Z

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.

Observation 33ef21f9-e80f-4dce-a1e8-1f8cd2cee9dd · outbound

This paper cites While CBRs such as EnCodec capture intricate acoustic features like pitch and timbre, RLRs from pre-trained models like WavLM en- code high-level prosodic information.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition While CBRs such as EnCodec capture intricate acoustic features like pitch and timbre, RLRs from pre-trained models like WavLM en- code high-level prosodic information

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:59.126544Z

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.

Observation 2448af0a-62a0-48f6-ae4f-2c0e7f8d25e0 · outbound

This paper cites Speech emotion recognition with dual-sequence lstm architecture,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Speech emotion recognition with dual-sequence lstm architecture,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:57.621722Z

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.

Observation ff567166-0f50-4995-a6bf-002dfd7e3992 · outbound

This paper cites Towards a small set of robust acoustic features for emotion recognition: Challenges,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Towards a small set of robust acoustic features for emotion recognition: Challenges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:58.844451Z

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.

Observation eff4668a-e79e-4088-81c5-7c8f5cbd3903 · outbound

This paper cites Is everything fine, grandma? acoustic and linguistic modeling for robust elderly speech emotion recognition,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Is everything fine, grandma? acoustic and linguistic modeling for robust elderly speech emotion recognition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:58.642449Z

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.

Observation 2cb872e0-d2e2-4207-9171-6c4527ad37ef · outbound

This paper cites Shoelace pattern-based speech emotion recognition of the lecturers in distance education: Shoepat23,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Shoelace pattern-based speech emotion recognition of the lecturers in distance education: Shoepat23,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:58.436422Z

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.

Observation ccbe7338-5f86-4682-bf62-b15641c0626d · outbound

This paper cites Emotion recognition in speech using mfcc and wavelet features,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Emotion recognition in speech using mfcc and wavelet features,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:58.151785Z

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.

Observation 44c5aea4-7fed-4cec-a9d0-60143cd9e7bf · outbound

This paper cites Svm scheme for speech emotion recognition using mfcc feature,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Svm scheme for speech emotion recognition using mfcc feature,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:57.909691Z

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.

Observation e63be619-c52f-46fa-a207-9de8999b610d · outbound

This paper cites High-fidelity audio compression with improved rvqgan,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition High-fidelity audio compression with improved rvqgan,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:57.062093Z

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.

Observation b0a4583f-3cdd-4ecc-914b-95278503f218 · outbound

This paper cites Emotion recognition of human speech using deep learning method and mfcc features,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Emotion recognition of human speech using deep learning method and mfcc features,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:57.308213Z

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.

Observation 63d9efaf-a6c6-4cf2-a2f6-bdd35066a24f · outbound

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

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:51.732715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9f42a4-7bbf-4d52-8f70-a6c98a177267 · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:51.837603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2ee697-bafe-4a5b-84c5-cdd19f0314e0 · outbound

This paper cites Xls-r: Self-supervised cross-lingual speech representation learning at scale,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Xls-r: Self-supervised cross-lingual speech representation learning at scale,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:51.968915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1223b713-d4fe-4c5d-aa7d-e92a023d1cb6 · outbound

This paper cites High Fidelity Neural Audio Compression.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition High Fidelity Neural Audio Compression

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:52.079704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d64e47-bec1-4478-8209-7489b031d5c1 · outbound

This paper cites HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:50.315973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9418e5b3-72bc-47d1-867d-4550f9967b1d · outbound

This paper cites Soundstream: An end-to-end neural audio codec,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Soundstream: An end-to-end neural audio codec,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:52.327891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cd0bafd-d508-4a53-b8f1-522996d11a5a · outbound

This paper cites Emotion recognition from speech using wav2vec 2.0 embeddings,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Emotion recognition from speech using wav2vec 2.0 embeddings,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:56.842621Z

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.

Observation c9cf1d17-6cec-4d72-a1e1-88f4208e196e · outbound

This paper cites Speech emotion recognition using self-supervised features,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Speech emotion recognition using self-supervised features,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:56.612382Z

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.

Observation be92ef58-a7b5-4c61-9a36-785c9c42d967 · outbound

This paper cites Codec-SUPERB: An in-depth analysis of sound codec models,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Codec-SUPERB: An in-depth analysis of sound codec models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:56.298971Z

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.

Observation 2cc65780-2e3d-4bb1-b10d-0b221fc9ebce · outbound

This paper cites EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:08:54.552570Z

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.

Observation c86d9a68-e6c6-4665-9895-8aa3f0d9fd62 · outbound

This paper cites DASB - Discrete Audio and Speech Benchmark.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition DASB - Discrete Audio and Speech Benchmark

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:52.944215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8003c34b-b07c-4938-ac71-501a8a81c1aa · outbound

This paper cites Investigation of ensemble of self-supervised models for speech emotion recognition,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Investigation of ensemble of self-supervised models for speech emotion recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:55.986914Z

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.

Observation 8100aeaf-f521-43b5-9eca-e617e37e76de · outbound

This paper cites Investi- gation of ensemble features of self-supervised pretrained models for automatic speech recognition,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Investi- gation of ensemble features of self-supervised pretrained models for automatic speech recognition,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:53.187702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da95ac2-a217-4bb4-a4d9-6e6fe9258e99 · outbound

This paper cites WavLM model ensemble for audio deepfake detection.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition WavLM model ensemble for audio deepfake detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:53.306405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42e2485-8775-4553-896a-763ee52e6fcc · outbound

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

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:53.440408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0944658-3ffd-44c7-8049-6da694357b7c · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition X-vectors: Robust dnn embeddings for speaker recognition,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:53.583587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff180359-b58c-4f41-823c-9f981c5a8b54 · outbound

This paper cites Transform- ing the embeddings: A lightweight technique for speech emotion recognition tasks,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Transform- ing the embeddings: A lightweight technique for speech emotion recognition tasks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:55.748749Z

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.

Observation 0b73e602-bd9a-4eb8-a0a8-42846e27200d · outbound

This paper cites Speechtokenizer: Unified speech tokenizer for speech language models,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Speechtokenizer: Unified speech tokenizer for speech language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:55.501589Z

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.

Observation 76d23221-9348-4b24-894a-3c0a4c57f120 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:55.234152Z

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.

Observation f2833fc1-e469-4ed3-9faa-d3166bb7562f · outbound

This paper cites A database of german emotional speech.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition A database of german emotional speech

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:54.999720Z

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.

Observation a77b9098-ac90-47e9-9949-096854b7cfeb · outbound

This paper cites Superb: Speech pro- cessing universal performance benchmark,.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Superb: Speech pro- cessing universal performance benchmark,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:08:54.769951Z

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.

Observation 39e74e91-b406-4f9a-8a53-0d444cff17cd · outbound

This paper cites Available: https://openreview.net/forum?id= AF9Q8Vip84.

HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition Available: https://openreview.net/forum?id= AF9Q8Vip84

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:53.983165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 77d64e47-bec1-4478-8209-7489b031d5c1 · inbound