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Paper Citation Record · LEDGER

LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.00493.

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

pith.paper-citation-record.v1
2503.00493 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:07:46.146681Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:09:00.924175Z

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 2b39c493-1a95-4a2a-9427-71333ceffea6 · inbound

UniFlow: Unifying Speech Front-End Tasks via Continuous Generative Modeling cites this paper.

UniFlow: Unifying Speech Front-End Tasks via Continuous Generative Modeling LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:46.146681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:07:46.146681Z digest=sha256:a246a1826af0f49a3d7777eb93ae4a9b65f1345c1baf5a21fc9a85d03056502a

Observation 7306e42e-cc95-4085-b004-a6fac48f0d06 · inbound

UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement cites this paper.

UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T08:29:18.782766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:29:18.782766Z digest=sha256:bc24356133f738a902b2480a8bfcfb033710e6bbf204ff1dcf4cb0c6be2ee51f

Observation 4341fc9a-414d-489a-be2e-fc50134b89ae · inbound

GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model cites this paper.

GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T14:20:49.137953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:20:49.137953Z digest=sha256:f71169a3cfa82e7c4a879a84473438d13e28e3c8d8ed8cf2892a7f309f684ed7

Observation 724a89e1-e54b-455c-ad92-246456025c8c · inbound

Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models cites this paper.

Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:44:14.732250Z

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.

source=pdf_text observed=2026-05-21T15:42:57.766341Z digest=sha256:7a94b246ebace440326369c9fe175c7353457787c996cddc6dd4852020e63e3d

Observation 92d132db-ce09-448c-8109-391cd37a2316 · inbound

SEMamba++: A General Speech Restoration Framework Leveraging Global, Local, and Periodic Spectral Patterns cites this paper.

SEMamba++: A General Speech Restoration Framework Leveraging Global, Local, and Periodic Spectral Patterns LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T22:43:13.611383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:43:13.611383Z digest=sha256:5b211e0822db48e1316fdf5c7969e2b1edaaffad3d1c68e04a4163f3b6623062

Observation 204a1e36-8fbc-47a4-a68c-7aa745e0c694 · inbound

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement cites this paper.

PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:09:00.925960Z

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.

source=pdf_text observed=2026-06-26T23:05:08.894347Z digest=sha256:0166d5951d29567717be029672867b800757ac4c9ce862860913c588827330b4