Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:00.136014Z

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.

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.

Observation e18352bd-9234-4d26-bdf2-564e1dd9e05b · inbound

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering cites this paper.

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:00.136014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+00:00.