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Paper Citation Record · LEDGER

Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.11708.

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

pith.paper-citation-record.v1
2109.11708 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:22:14.154524Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6d655b59-b99f-4970-87f8-72e1033d4d97 · inbound

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models cites this paper.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:14.154524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:14.154524Z digest=sha256:d331fc8279aab76ec4e11377d6f97eb6b44b472ddf608bc58312b98887861b74

Observation 41bfa591-97ab-4043-8b3e-68c311689333 · inbound

GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns cites this paper.

GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:47:03.191918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T12:46:56.690228Z digest=sha256:c44a7b5d7e66640920156e8a92304e2e2e9818b05ca42e14f90b12662ff22c28