Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.04673.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T12:44:20.831164Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:19:49.665222Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1bbd4f02-3816-436a-89c4-61a94360561b · inbound
DASB - Discrete Audio and Speech Benchmark cites this paper.
DASB - Discrete Audio and Speech Benchmark LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:28:39.499589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e60264e3-2f83-4ec8-8afa-5a7ab94d894e · inbound
MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks cites this paper.
MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T02:41:59.662863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ed13a00-3143-4aea-8a16-0418fe098b38 · inbound
CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents cites this paper.
CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T16:46:37.612641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3bee28f1-6bc6-4620-9ba0-da05ee3d0f15 · inbound
Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models cites this paper.
Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T15:44:14.736674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c30ce28-6c63-4bcb-afdb-7e8437470196 · inbound
StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model cites this paper.
StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T01:04:50.361710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b217a86-fdfc-4ba8-9606-2efad0dde764 · inbound
PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization cites this paper.
PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:08.571872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d48d1aa7-664a-4398-a2e2-60701b5e7f1d · inbound
PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization cites this paper.
PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:15:07.781578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 645583c1-f047-49f7-a436-2bf7b10d3686 · inbound
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 104
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:39:48.950772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85f3c95e-ff73-4f5e-84ec-0de7f1e6f0c3 · inbound
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration cites this paper.
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T05:53:08.884552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 99f2961a-f65e-42c2-aab2-68a017066e01 · inbound
IRAF: Interference-Resilient Adaptive Fusion for Noise-Robust End-to-End Full-Duplex Spoken Dialogue Systems cites this paper.
IRAF: Interference-Resilient Adaptive Fusion for Noise-Robust End-to-End Full-Duplex Spoken Dialogue Systems LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T15:37:06.822469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 744ba060-03ab-4eb7-9ab3-ecaf55f849e7 · inbound
FlowTTS-GRPO: Online Reinforcement Learning with Multi-Objective Reward Optimization for Flow-Matching Based Text-to-Speech cites this paper.
FlowTTS-GRPO: Online Reinforcement Learning with Multi-Objective Reward Optimization for Flow-Matching Based Text-to-Speech LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:19:49.666647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7256d16a-5279-4882-a7d4-39165b006d82 · inbound
FlowTTS-GRPO: Online Reinforcement Learning with Multi-Objective Reward Optimization for Flow-Matching Based Text-to-Speech cites this paper.
FlowTTS-GRPO: Online Reinforcement Learning with Multi-Objective Reward Optimization for Flow-Matching Based Text-to-Speech LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T12:44:20.831164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.