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Paper Citation Record · LEDGER

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.01138.

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

pith.paper-citation-record.v1
2506.01138 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:15.373566Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:10.964316Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:54:15.537273Z

Reference resolution

35 of 35 outbound references displayed

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  • verified fuzzy14
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 6411fc0c-ea98-4786-8c29-d1def009dd26 · outbound

This paper cites PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition

Reference 1

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local_arxiv, observed 2026-08-07T11:54:15.600603Z

Source-reported events for the cited work

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Observation 2f082fd6-5207-47a7-b301-e6ce456cf798 · outbound

This paper cites an unresolved cited work.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1bdebc26-34a8-4b1b-bf78-a54703ffb2c1 · outbound

This paper cites We make use of SVM, Fully Con- nected Network (FCN), and CNN as the downstreams modeling with individual PTMs.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition We make use of SVM, Fully Con- nected Network (FCN), and CNN as the downstreams modeling with individual PTMs

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6c5e307f-6886-408a-a2a9-2d6470b2e1c2 · outbound

This paper cites an unresolved cited work.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 387ea731-d33c-45c4-b767-a480d833ffe4 · outbound

This paper cites To this end, we propose, PARROT, a novel framework that synergizes PTMs via parallel branch fusion of Optimal Transport and Hadamard Product.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition To this end, we propose, PARROT, a novel framework that synergizes PTMs via parallel branch fusion of Optimal Transport and Hadamard Product

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4d8c590b-e249-4be1-a63f-d0ea05280039 · outbound

This paper cites Speech emotion recognition using deep 1d & 2d cnn lstm networks,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Speech emotion recognition using deep 1d & 2d cnn lstm networks,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d3256382-5183-4a7a-81b3-707780ff1690 · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Towards a small set of robust acoustic features for emotion recognition: Challenges,

Reference 7

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Observation da4bba01-3614-41ae-8af8-385fc7fe62e0 · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Is everything fine, grandma? acoustic and linguistic modeling for robust elderly speech emotion recognition,

Reference 8

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Observation a0460432-25c4-4ce0-8364-53ee91e0490a · outbound

This paper cites Speaker dependent speech emotion recognition using mfcc and support vector machine,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Speaker dependent speech emotion recognition using mfcc and support vector machine,

Reference 9

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 41c86549-847b-4870-81f6-0d52b5d1a285 · outbound

This paper cites V ocal- based emotion recognition using random forests and decision tree,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition V ocal- based emotion recognition using random forests and decision tree,

Reference 10

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cb049f32-41df-4e49-a977-635e9779c823 · outbound

This paper cites Deep learning techniques for speech emotion recognition, from databases to models,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Deep learning techniques for speech emotion recognition, from databases to models,

Reference 11

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6b0848b5-b1b4-4f4c-adab-1dc11e37b20b · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Speech emotion recognition using self-supervised features,

Reference 12

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Observation 6c4d7784-c9c1-42f8-970b-4a7948854114 · outbound

This paper cites Ensemble deep learning with hubert for speech emo- tion recognition,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Ensemble deep learning with hubert for speech emo- tion recognition,

Reference 13

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Observation f21013e1-0343-435d-9833-ee7596ec763d · outbound

This paper cites Evaluating self-supervised speech representations for speech emotion recognition,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Evaluating self-supervised speech representations for speech emotion recognition,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a475b65f-8971-406a-9ec7-db1964c99ea7 · outbound

This paper cites Ser evals: In-domain and out-of-domain benchmarking for speech emotion recognition,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Ser evals: In-domain and out-of-domain benchmarking for speech emotion recognition,

Reference 15

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 66531ef0-2f06-4bfb-b05e-edd009f12da5 · outbound

This paper cites Are paralinguistic representations all that is needed for speech emotion recognition?.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Are paralinguistic representations all that is needed for speech emotion recognition?

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c0203b5d-f1d8-4ff4-9b9d-0a6e7ab2ee1e · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Emotion recognition from speech using wav2vec 2.0 embeddings,

Reference 17

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Observation c178cfa0-73bc-4006-b0b8-597b19bfd2da · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Investi- gation of ensemble features of self-supervised pretrained models for automatic speech recognition,

Reference 18

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Observation e9073fe4-bb6b-4ab7-89eb-750abc965a91 · outbound

This paper cites Audio mamba: Selective state spaces for self-supervised audio representations,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Audio mamba: Selective state spaces for self-supervised audio representations,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ccd7a359-7d6e-44f5-8a17-dac0218e3ea2 · outbound

This paper cites Audio mamba: Bidirectional state space model for audio representation learning,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Audio mamba: Bidirectional state space model for audio representation learning,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 402f96af-3413-4342-a5a0-ed6d1d095597 · outbound

This paper cites SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

Reference 21

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Observation f662163b-6cf5-4c92-abd7-dc7b20609da0 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 22

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Observation c17f7253-5d0c-43e5-920c-4a4b02e9c92d · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Investigation of ensemble of self-supervised models for speech emotion recognition,

Reference 23

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Observation 8ef5c6ec-df8f-4276-8aae-d46f33963427 · outbound

This paper cites Scaling speech technology to 1,000+ languages,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Scaling speech technology to 1,000+ languages,

Reference 24

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Observation 510653c3-4113-4e2d-814c-1171376dcdb7 · outbound

This paper cites Heterogeneity over homogeneity: Investigating multilingual speech pre-trained models for detecting audio deepfake,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Heterogeneity over homogeneity: Investigating multilingual speech pre-trained models for detecting audio deepfake,

Reference 25

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Observation df80d8ff-d653-4b28-8740-202487d62fdb · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 26

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Observation 961cf102-2c12-45ce-b9b5-b759e83b2347 · outbound

This paper cites an unresolved cited work.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1a515ae9-f8e0-4f83-9116-9fb6138f3749 · outbound

This paper cites Unispeech-sat: Universal speech repre- sentation learning with speaker aware pre-training,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Unispeech-sat: Universal speech repre- sentation learning with speaker aware pre-training,

Reference 28

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Observation 2345687b-f8f1-4e21-9d23-251f33e6ab2f · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 29

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Observation 3fceeb46-3ec8-4794-8ec5-9486eeb406ea · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 30

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Observation 7710b695-a7bf-4855-acd7-23d074507c73 · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 31

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Observation 05aedece-3d86-4d60-aed9-d52d7f6e61ca · outbound

This paper cites A database of german emotional speech.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition A database of german emotional speech

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:54:15.042935Z digest=sha256:84cba325736e8da90553d1cc929b95b786757c571817d8f5f96104caab853d65

Observation c5191fac-a0f5-44a8-8b5d-6f60c27168b3 · outbound

This paper cites The mexican emotional speech database (mesd): elaboration and assessment based on machine learning,.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition The mexican emotional speech database (mesd): elaboration and assessment based on machine learning,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:54:16.070844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:54:15.135245Z digest=sha256:358eea1ea77da361c2df61530fdfd7435e75b0ffd6e178fe8523e25f5fb50a46

Observation 4564c507-12c8-43f5-96d3-93762afe856e · outbound

This paper cites Speech self-supervised representation benchmarking: Are we do- ing it right?.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Speech self-supervised representation benchmarking: Are we do- ing it right?

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:54:15.814920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:54:15.224057Z digest=sha256:fb5502d3b943ddea33805fc804f0af130fd31a27c9f31a488442b4dd7db6d4a3

Observation 4a6319b6-851f-41fb-93c1-5772fa44e016 · outbound

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

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Superb: Speech pro- cessing universal performance benchmark,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:54:15.373566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:54:15.373566Z digest=sha256:4f894f23f0f7a8e485381bcebdad9e01f1ba5f46d6fc07ed2eeef5047d5fb0ef

Pith citing papers

Observation 6411fc0c-ea98-4786-8c29-d1def009dd26 · inbound

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition cites this paper.

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T11:54:15.600603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:54:10.964316Z digest=sha256:ec2def4105367e10697629d71572e635a1fecbdd97faf088213d8c08eabb4dd5