Paper Citation Record · LEDGER

Discrete Audio Representations for Automated Audio Captioning

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.14989.

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

pith.paper-citation-record.v1
2505.14989 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:41.089739Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:37.637530Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:29:41.315494Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy17
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99f40907-dc3f-4326-98e4-a199b836bdaa · outbound

This paper cites Discrete Audio Representations for Automated Audio Captioning.

Discrete Audio Representations for Automated Audio Captioning Discrete Audio Representations for Automated Audio Captioning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:29:41.407940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33ad1828-4fd5-4d8e-bb50-0923888c62ad · outbound

This paper cites We construct BART-based and GPT-2 XL-based AAC systems, both utilizing semantic and acoustic tokens.

Discrete Audio Representations for Automated Audio Captioning We construct BART-based and GPT-2 XL-based AAC systems, both utilizing semantic and acoustic tokens

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:44.012926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cefd1b20-81c4-4ea7-a9c9-c6e2de374566 · outbound

This paper cites an unresolved cited work.

Discrete Audio Representations for Automated Audio Captioning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:29:43.877697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 72d3ae5e-6dc2-4d14-8e49-086a70a44d25 · outbound

This paper cites Our findings indicate that semantic tokens significantly outperform acoustic tokens in this context.

Discrete Audio Representations for Automated Audio Captioning Our findings indicate that semantic tokens significantly outperform acoustic tokens in this context

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:43.729200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 603fc8e4-6430-4c5f-b5f4-a5dffa6819bf · outbound

This paper cites Automated audio captioning: An overview of recent progress and new challenges,.

Discrete Audio Representations for Automated Audio Captioning Automated audio captioning: An overview of recent progress and new challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:43.606953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8825f6b-0b1c-4c98-b2d7-44a980073a55 · outbound

This paper cites Audio captioning based on transformer and pre-trained cnn,.

Discrete Audio Representations for Automated Audio Captioning Audio captioning based on transformer and pre-trained cnn,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:43.460031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 59b5a379-4928-4a17-ad1d-929c748ca906 · outbound

This paper cites Automated audio caption- ing by fine-tuning bart with audioset tags,.

Discrete Audio Representations for Automated Audio Captioning Automated audio caption- ing by fine-tuning bart with audioset tags,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:43.305054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f8b710d6-2282-4147-9d68-64b5259cbd75 · outbound

This paper cites Leveraging pre-trained bert for audio captioning,.

Discrete Audio Representations for Automated Audio Captioning Leveraging pre-trained bert for audio captioning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:43.170929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83fc5ec3-ab4e-4553-bf30-3d2aac66599b · outbound

This paper cites Conette: An efficient au- dio captioning system leveraging multiple datasets with task em- bedding,.

Discrete Audio Representations for Automated Audio Captioning Conette: An efficient au- dio captioning system leveraging multiple datasets with task em- bedding,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:43.032026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6243da2-8ba2-4ee1-ac41-5b5c5bb07e3f · outbound

This paper cites Improving audio captioning mod- els with fine-grained audio features, text embedding supervision, and llm mix-up augmentation,.

Discrete Audio Representations for Automated Audio Captioning Improving audio captioning mod- els with fine-grained audio features, text embedding supervision, and llm mix-up augmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:42.889413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 35d13838-760a-4507-a964-a3d39b0c42e4 · outbound

This paper cites Panns: Large-scale pretrained audio neural networks for audio pattern recognition,.

Discrete Audio Representations for Automated Audio Captioning Panns: Large-scale pretrained audio neural networks for audio pattern recognition,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:38.478425Z

Source-reported events for the cited work

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Observation bb3ef9d7-fdaa-49fb-a8eb-c94b7d2dcecf · outbound

This paper cites Adapting a convnext model to audio classification on au- dioset,.

Discrete Audio Representations for Automated Audio Captioning Adapting a convnext model to audio classification on au- dioset,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:42.746482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46b92cf6-81f9-48cc-933a-4c058438af93 · outbound

This paper cites Beats: audio pre-training with acoustic tok- enizers,.

Discrete Audio Representations for Automated Audio Captioning Beats: audio pre-training with acoustic tok- enizers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:42.551062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b9661e5-d984-425b-8ea9-a1c8e8aff9c9 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Discrete Audio Representations for Automated Audio Captioning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:38.730373Z

Source-reported events for the cited work

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Observation f97881d5-1890-40a5-8d5a-44f7c8b214a5 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Discrete Audio Representations for Automated Audio Captioning BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:38.816322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faeb6c81-bccb-4221-a163-554f51667a31 · outbound

This paper cites Language models are unsupervised multitask learners,.

Discrete Audio Representations for Automated Audio Captioning Language models are unsupervised multitask learners,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:38.907144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c960552-04af-4b3a-ba53-1ebb82abe3a5 · outbound

This paper cites STAB: Speech Tokenizer Assessment Benchmark.

Discrete Audio Representations for Automated Audio Captioning STAB: Speech Tokenizer Assessment Benchmark

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.010252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf8414e-bbe7-412c-926d-3c551e889850 · outbound

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

Discrete Audio Representations for Automated Audio Captioning Soundstream: An end-to-end neural audio codec,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.090136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604426d6-34a9-45e0-8b98-d9a7518c4e3a · outbound

This paper cites High Fidelity Neural Audio Compression.

Discrete Audio Representations for Automated Audio Captioning High Fidelity Neural Audio Compression

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.236427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a635e2e1-ee8c-4774-a573-a3dd8fd5abe8 · outbound

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

Discrete Audio Representations for Automated Audio Captioning High-fidelity audio compression with improved rvqgan,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.371761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db345d99-1cc7-44c3-b2e9-cff7d83fdb29 · outbound

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

Discrete Audio Representations for Automated Audio Captioning Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.476168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d440acd7-51cc-45cf-99e7-d54ad8af7e6c · outbound

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

Discrete Audio Representations for Automated Audio Captioning Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.544115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 820f0797-cf0f-4bd5-aad6-9be4af9109d9 · outbound

This paper cites RepCodec: A speech represen- tation codec for speech tokenization,.

Discrete Audio Representations for Automated Audio Captioning RepCodec: A speech represen- tation codec for speech tokenization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:42.358530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2365d3a4-9a06-480b-a9e9-738cec03d94e · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

Discrete Audio Representations for Automated Audio Captioning Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.691319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e1079c0-39a2-4f82-bd04-ba21a7d587b4 · outbound

This paper cites BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.

Discrete Audio Representations for Automated Audio Captioning BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:39.917468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6434d90-b764-4b0a-b87d-a5606774bcdf · outbound

This paper cites Exploration of efficient end-to-end asr using discretized input from self-supervised learning,.

Discrete Audio Representations for Automated Audio Captioning Exploration of efficient end-to-end asr using discretized input from self-supervised learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:42.206416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9031b10f-1abd-4b2c-9429-6d768514a162 · outbound

This paper cites How should we extract discrete audio tokens from self-supervised models?.

Discrete Audio Representations for Automated Audio Captioning How should we extract discrete audio tokens from self-supervised models?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:40.136058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f071cc86-68db-4404-ba0a-947998171708 · outbound

This paper cites Discrete audio representation as an alternative to mel-spectrograms for speaker and speech recognition,.

Discrete Audio Representations for Automated Audio Captioning Discrete audio representation as an alternative to mel-spectrograms for speaker and speech recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:42.081468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e716f219-6b97-4506-b963-09661381826f · outbound

This paper cites Enclap: Combining neu- ral audio codec and audio-text joint embedding for automated au- dio captioning,.

Discrete Audio Representations for Automated Audio Captioning Enclap: Combining neu- ral audio codec and audio-text joint embedding for automated au- dio captioning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:41.951056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 559d8f9d-1118-412f-8dc3-f2ee8e0538a6 · outbound

This paper cites Neural discrete represen- tation learning,.

Discrete Audio Representations for Automated Audio Captioning Neural discrete represen- tation learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:40.513005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca75e92-a442-4ac8-9b6b-6902dbdd3bb9 · outbound

This paper cites Investigating lo- cal and global information for automated audio captioning with transfer learning,.

Discrete Audio Representations for Automated Audio Captioning Investigating lo- cal and global information for automated audio captioning with transfer learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:41.823902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a11eb655-7160-47d5-9313-fe082c58d128 · outbound

This paper cites Prefix tuning for auto- mated audio captioning,.

Discrete Audio Representations for Automated Audio Captioning Prefix tuning for auto- mated audio captioning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:41.713383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa09ffca-3051-4b66-b7ac-c9a49cbceec3 · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

Discrete Audio Representations for Automated Audio Captioning Audio set: An ontology and human-labeled dataset for audio events,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:40.769821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7a4798-49e0-4a63-8e6a-5c18735ef4c8 · outbound

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

Discrete Audio Representations for Automated Audio Captioning Clotho: An audio cap- tioning dataset,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:40.890406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca949e47-509f-4b35-9b34-a44501a28463 · outbound

This paper cites Improved image captioning via policy gradient optimization of spider,.

Discrete Audio Representations for Automated Audio Captioning Improved image captioning via policy gradient optimization of spider,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:40.981070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e43b8e5-c476-4d03-a339-29dcf1715581 · outbound

This paper cites Can audio captions be evaluated with image caption metrics?.

Discrete Audio Representations for Automated Audio Captioning Can audio captions be evaluated with image caption metrics?

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:41.528936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 99f40907-dc3f-4326-98e4-a199b836bdaa · inbound