Paper Citation Record · LEDGER

SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.02207.

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

pith.paper-citation-record.v1
2306.02207 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:47.854253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:40:43.513114Z

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 450b1315-5194-450a-8ecc-8c5e8d767732 · inbound

LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs cites this paper.

LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:47.854253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb87d25-b143-43c8-b5d0-e1124abada8c · inbound

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction cites this paper.

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:41.346118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac272ad-fe3a-458a-8092-1508dfc77525 · inbound

Breaking the Barriers of Text-Hungry and Audio-Deficient AI cites this paper.

Breaking the Barriers of Text-Hungry and Audio-Deficient AI SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:00.319943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 612209c3-a6f9-4347-9bcb-7b51ccff6144 · inbound

Speak Your Mind: The Speech Continuation Task as a Probe of Voice-Based Model Bias cites this paper.

Speak Your Mind: The Speech Continuation Task as a Probe of Voice-Based Model Bias SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.515401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.