Paper Citation Record · LEDGER

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 4 inbound Pith citation observations for arXiv:2505.16369.

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

pith.paper-citation-record.v1
2505.16369 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:16.177062Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:12.925006Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:17:03.115400Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy28
unresolved25
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c036217-80f1-4122-bc8b-f229c44341d8 · outbound

This paper cites an unresolved cited work.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:22.508548Z

Source-reported events for the cited work

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Observation dbca00b5-4be5-4ff5-8913-45f65a97eef7 · outbound

This paper cites an unresolved cited work.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:22.385652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4a2c8fe-1142-42e7-879a-c8299e39c340 · outbound

This paper cites an unresolved cited work.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:22.274533Z

Source-reported events for the cited work

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Observation b1232899-2511-4dea-b526-3db91cf0a0a5 · outbound

This paper cites an unresolved cited work.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:22.183876Z

Source-reported events for the cited work

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Observation 704ada23-c0ac-4b4b-86a8-cd5792e6c03c · outbound

This paper cites an unresolved cited work.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:22.060727Z

Source-reported events for the cited work

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Observation 2f11c02f-2ad4-4b77-9ca6-58eae6c42276 · outbound

This paper cites X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:12.925006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993755cc-6b45-4341-9d80-3e9e0a935380 · outbound

This paper cites an unresolved cited work.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation dc18be9a-6119-47be-887e-83e6eed81894 · outbound

This paper cites Speech tasks in X-ARES assess both linguistic content (e.g., speech content, word spotting) and paralinguistic features (e.g., emotion, speaker identity, accent).

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Speech tasks in X-ARES assess both linguistic content (e.g., speech content, word spotting) and paralinguistic features (e.g., emotion, speaker identity, accent)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:21.622695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dfd6b30-c20b-4582-962b-d9c6eec7a980 · outbound

This paper cites Task-Specific Metrics A summary of all metrics used in X-ARES is provided in Ta- ble 1.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Task-Specific Metrics A summary of all metrics used in X-ARES is provided in Ta- ble 1

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:21.406287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e4da20e-5f83-48ab-8ee3-207cda013197 · outbound

This paper cites First, speech encoders such as data2vec [3], HuBERT [35], wav2vec2- large [2], WavLM [36] and Whisper-base [37].

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance First, speech encoders such as data2vec [3], HuBERT [35], wav2vec2- large [2], WavLM [36] and Whisper-base [37]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:21.207688Z

Source-reported events for the cited work

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Observation 19e6f7d6-df6b-4ca8-86f1-4b048b78bcca · outbound

This paper cites an unresolved cited work.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:05:21.070057Z

Source-reported events for the cited work

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Observation 1527872a-4813-475c-ae7b-70f75ee2c235 · outbound

This paper cites Scal- ing up masked audio encoder learning for general audio classifica- tion,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Scal- ing up masked audio encoder learning for general audio classifica- tion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:20.948278Z

Source-reported events for the cited work

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Observation 06656f89-cb63-4e21-a1d1-0c6d306a15f6 · outbound

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

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 13

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Source-reported events for the cited work

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Observation f1ed79dd-3a94-4892-9e2d-c850a7aee805 · outbound

This paper cites Data2vec: A general framework for self-supervised learning in speech, vision and language,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Data2vec: A general framework for self-supervised learning in speech, vision and language,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:13.477073Z

Source-reported events for the cited work

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Observation 439a7da9-d5ea-410b-b0ae-9e61248b5594 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:13.546494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac3bb46-8cea-453b-a5b0-f256e9e01d9a · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Moshi: a speech-text foundation model for real-time dialogue,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:20.842042Z

Source-reported events for the cited work

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Observation f5f248cf-2e0c-4431-ace5-6751d1a27ea2 · outbound

This paper cites A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:13.708782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e52c619-c6af-46ad-b5c9-5343f2bac86d · outbound

This paper cites HEAR: Holistic evaluation of audio representations,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance HEAR: Holistic evaluation of audio representations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:20.642237Z

Source-reported events for the cited work

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Observation c729de9a-d587-4aad-9f1a-e3fed0156598 · outbound

This paper cites SUPERB: Speech processing universal performance benchmark,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance SUPERB: Speech processing universal performance benchmark,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:20.446806Z

Source-reported events for the cited work

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Observation dcec1deb-46c5-4495-bcb4-7b79390f6993 · outbound

This paper cites DASB - Discrete Audio and Speech Benchmark.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance DASB - Discrete Audio and Speech Benchmark

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:13.887958Z

Source-reported events for the cited work

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Observation c9c21023-6c9d-4848-b8e6-0289d70ae5fa · outbound

This paper cites Webdataset: A library for efficient loading of large-scale datasets,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Webdataset: A library for efficient loading of large-scale datasets,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:20.262234Z

Source-reported events for the cited work

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Observation 73c8ef13-d7cc-4755-9169-6b8a683ff4b4 · outbound

This paper cites SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation

Reference 22

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Source-reported events for the cited work

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Observation 771974a9-2a03-491a-86a7-4004fae0a578 · outbound

This paper cites Auto- matic speaker verification spoofing and countermeasures challenge (asvspoof 2015) database,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Auto- matic speaker verification spoofing and countermeasures challenge (asvspoof 2015) database,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:19.995656Z

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Observation a866a237-3e77-4dbc-898b-87660ba7ee8c · outbound

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

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:19.743695Z

Source-reported events for the cited work

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Observation d5e70fa5-877b-462d-8c31-0932f4dfd7eb · outbound

This paper cites Speech Model Pre-training for End-to-End Spoken Language Understanding.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:14.197126Z

Source-reported events for the cited work

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Observation 14ffa220-145d-49d7-b987-8b9d6fc74cfa · outbound

This paper cites Libricount, a dataset for speaker count estimation,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Libricount, a dataset for speaker count estimation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:19.411970Z

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Observation 9a8b808b-fa75-4ebb-b7db-3ae814e7ac6e · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Librispeech: an asr corpus based on public domain audio books,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:19.185013Z

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Observation 965c1ea6-0086-4115-af28-0b07ec0223a9 · outbound

This paper cites The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, mul- timodal set of facial and vocal expressions in north american en- glish,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, mul- timodal set of facial and vocal expressions in north american en- glish,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:18.938845Z

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Observation fa3a3cd7-6b1c-4d24-acea-f2532c1d4aaa · outbound

This paper cites V ocalsound: A dataset for improving human vocal sounds recognition,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance V ocalsound: A dataset for improving human vocal sounds recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:18.775240Z

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Observation de60e614-7968-4087-ac1d-bcad00f2d2b5 · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 30

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X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance V oxceleb: Large-scale speaker verification in the wild,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:18.633665Z

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Observation 9a978da9-62e7-4c3f-aadd-e26ad02fa055 · outbound

This paper cites V oxlingua107: a dataset for spoken lan- guage recognition,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance V oxlingua107: a dataset for spoken lan- guage recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:18.497605Z

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Observation 9c1653dc-7cf2-4660-8f5b-24600d37b9a4 · outbound

This paper cites Clotho: An audio cap- tioning dataset,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Clotho: An audio cap- tioning dataset,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:18.346780Z

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Observation 5aa12670-3ac5-4565-b519-cc23cd978ad0 · outbound

This paper cites Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,

Reference 34

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Observation f338b51a-d029-47c9-b170-a18b304474ff · outbound

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X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Esc: Dataset for environmental sound classification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:18.209463Z

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Observation 634f069f-c613-4450-af48-f650ef6c26d0 · outbound

This paper cites General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:14.851891Z

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Observation 81afb060-0127-4091-84d4-bcf206baac7b · outbound

This paper cites Fsd50k: an open dataset of human-labeled sound events,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Fsd50k: an open dataset of human-labeled sound events,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:18.105386Z

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Observation 4f14be62-c8e4-40b2-a172-651dbe937d78 · outbound

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X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance A dataset and taxonomy for urban sound research,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:17.967320Z

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Observation 68e2ddd3-4fc4-4647-8672-3c4caa763074 · outbound

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X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance V ocal imitation set: a dataset of vocally imitated sound events using the audioset ontol- ogy

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:17.835492Z

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Observation ed313b6f-be7c-49e9-9de2-3c4aff4b2c79 · outbound

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X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance FMA: A Dataset For Music Analysis

Reference 40

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X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use

Reference 41

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This paper cites Enabling factorized piano music modeling and generation with the MAESTRO dataset,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Enabling factorized piano music modeling and generation with the MAESTRO dataset,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:17.698556Z

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Observation 92b1ddae-ce78-4abb-be0c-85afeef3dcd3 · outbound

This paper cites Neural audio synthesis of musical notes with wavenet autoencoders,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Neural audio synthesis of musical notes with wavenet autoencoders,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:15.328284Z

Source-reported events for the cited work

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Observation f79a4b8a-b26f-42a1-b1b4-ab7a545d4d09 · outbound

This paper cites Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:15.374000Z

Source-reported events for the cited work

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Observation 3d4c6043-9121-43c0-bad2-bdb496a44859 · outbound

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X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Qwen2.5 Technical Report

Reference 45

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

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:17.574285Z

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Observation 2369ea91-14c9-4942-917f-7a350be7f87a · outbound

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

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:17.410927Z

Source-reported events for the cited work

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Observation 38afb6aa-897c-41a8-8494-e6cc89f06562 · outbound

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

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Robust speech recognition via large-scale weak supervision,

Reference 48

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Source-reported events for the cited work

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Observation 7beb06ff-c36e-4a0f-a60f-e687ac17af26 · outbound

This paper cites BEATs: Audio Pre-Training with Acoustic Tokenizers.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance BEATs: Audio Pre-Training with Acoustic Tokenizers

Reference 49

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Source-reported events for the cited work

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Observation ba6b32bd-cf43-428a-b26f-4614cd7e9644 · outbound

This paper cites Byol-s: Learning self-supervised speech representations by bootstrapping,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Byol-s: Learning self-supervised speech representations by bootstrapping,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:17.268704Z

Source-reported events for the cited work

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Observation d91046c1-1e72-4745-9417-b1265cd2227b · outbound

This paper cites Ced: Consis- tent ensemble distillation for audio tagging,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Ced: Consis- tent ensemble distillation for audio tagging,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:17.114721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 042f13fe-47ea-4425-8537-3c102c889efe · outbound

This paper cites Self-supervised audio teacher-student transformer for both clip-level and frame-level tasks,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Self-supervised audio teacher-student transformer for both clip-level and frame-level tasks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:16.908635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c617c87-c424-4433-88e4-a67a9575db48 · outbound

This paper cites Masked modeling duo: Learning representations by encouraging both networks to model the input,.

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Masked modeling duo: Learning representations by encouraging both networks to model the input,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:16.754608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 2f11c02f-2ad4-4b77-9ca6-58eae6c42276 · inbound