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Paper Citation Record · LEDGER

Fine-tuning Language Models with Generative Adversarial Reward Modelling

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.06176.

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

pith.paper-citation-record.v1
2305.06176 v3

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:32:35.030666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T06:49:11.527210Z

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 db22b0bd-e267-4afb-a91c-c15a05bf232e · inbound

Adversarial Suffix Filtering: a Defense Pipeline for LLMs cites this paper.

Adversarial Suffix Filtering: a Defense Pipeline for LLMs Fine-tuning Language Models with Generative Adversarial Reward Modelling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T21:32:35.030666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:32:35.030666Z digest=sha256:eb262cc937fe68bce8a69769528d44ed700f7ad85cb479698fa3bd87dbfd1355

Observation 2f71ae80-07dc-46cc-aaa3-46557aa183af · inbound

Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction cites this paper.

Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction Fine-tuning Language Models with Generative Adversarial Reward Modelling

Reference 5

Resolution
malformed identifier
arxiv_id, observed 2026-05-17T06:49:11.530196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T06:46:21.474224Z digest=sha256:b4b1e8df58846f72583d0ceb341f3f6045f59b57cab4edfa656af589b7411b0a