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Paper Citation Record · LEDGER

Neural Speech Extraction with Human Feedback

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.03041.

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

pith.paper-citation-record.v1
2508.03041 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:20:49.168092Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:03:04.446632Z

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 6a40bdba-80a4-49ac-aa32-db0959668e7d · 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 Neural Speech Extraction with Human Feedback

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T14:20:49.168092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:20:49.168092Z digest=sha256:c160939639067704dae05c957c14b8d07aa4afc153420d535a7d83bb4e99875e

Observation 354547ff-d39f-4661-a091-02685f3b0935 · inbound

Unmixing The Crowd: Learning Persistent Speaker Representations from Mixture-Derived Multi-Speaker Embeddings cites this paper.

Unmixing The Crowd: Learning Persistent Speaker Representations from Mixture-Derived Multi-Speaker Embeddings Neural Speech Extraction with Human Feedback

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:03:04.448143Z

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.

source=pdf_text observed=2026-05-13T18:00:52.746534Z digest=sha256:d1d8f91220c1bcaf41606bbdfe38a479e3534a78ea36d0d082f78d88a4e33d33