Paper Citation Record · LEDGER

Adversarial Training of Reward Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.06141.

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

pith.paper-citation-record.v1
2504.06141 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:38:50.313305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:37:30.094389Z

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 635917d5-f7e0-4dcc-9d61-51d134ef460d · inbound

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models cites this paper.

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models Adversarial Training of Reward Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:16.820859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 363569e9-b234-4a8b-b550-6b2e2d3d7a8f · inbound

Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback cites this paper.

Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback Adversarial Training of Reward Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:46:46.017846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8872970-de65-442b-b457-dbf3cb7d0445 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Adversarial Training of Reward Models

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:13.247286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df2503a7-ef0b-46f4-a1cd-9aa9b5a54620 · inbound

The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning cites this paper.

The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning Adversarial Training of Reward Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:37:30.096581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.