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Paper Citation Record · LEDGER

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.04492.

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

pith.paper-citation-record.v1
2210.04492 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:46:44.638835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:36:09.000230Z

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 b2fd00ae-8849-4a8d-9644-208ec1e09690 · inbound

Bias Unveiled: Investigating Social Bias in LLM-Generated Code cites this paper.

Bias Unveiled: Investigating Social Bias in LLM-Generated Code Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T19:46:44.638835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:46:44.638835Z digest=sha256:3063d64099191df2ee934d6f5729ab793dbff10ba3c8a918ec6b953765005c69

Observation 09dcf76a-932b-4c9d-a411-60632ae7028b · inbound

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models cites this paper.

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T13:57:16.447867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:57:16.447867Z digest=sha256:76227563ccd22c033bb0d4007d7cfa5ec39433d3aea53f6051bc90e2a4fb4b3d

Observation 7850e2e4-e63b-4500-a89f-d1b243c1c1fd · inbound

Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.

Social Bias in LLM-Generated Code: Benchmark and Mitigation Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:09.008416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T19:34:51.433422Z digest=sha256:f7afffafb74d79e792821ca2573259326fbfd26a68c004498cf9e8b853e3b6ce