Paper Citation Record · LEDGER

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 3 inbound Pith citation observations for arXiv:2602.10623.

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

pith.paper-citation-record.v1
2602.10623 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:06:25.403043Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T02:39:02.891861Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:00:28.579853Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45c0ea56-6d84-4151-aecb-afbb4342e5f5 · outbound

This paper cites an unresolved cited work.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:24.938679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cfc5805-e433-4df9-8115-680fb2a9cae3 · outbound

This paper cites an unresolved cited work.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:24.979514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 678e5c54-e360-4cfa-aafe-ef1fc4ac4688 · outbound

This paper cites an unresolved cited work.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.010890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48de6a4e-50b7-4075-b9db-d0fc5195d55e · outbound

This paper cites an unresolved cited work.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.050054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e58d9cf4-c98f-48da-88ea-d744c0f00c25 · outbound

This paper cites an unresolved cited work.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.071900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a25d2624-1d4a-410a-a32d-ae2982f7173b · outbound

This paper cites 3https://github.com/vllm-project/vllm.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling 3https://github.com/vllm-project/vllm

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.123714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95fd40e9-4e6c-4d89-9b91-9b5dec5f36b8 · outbound

This paper cites good” or “bad.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling good” or “bad

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.180869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7f70ff-e993-482c-96a7-15a81b7062cc · outbound

This paper cites an unresolved cited work.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.240241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1298910b-0d39-499c-a0a1-fbd7433687e1 · outbound

This paper cites Justify your judgement using the high-activation examples above.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Justify your judgement using the high-activation examples above

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.268589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc126a7-d615-46b2-a29a-51bd8291bc25 · outbound

This paper cites an unresolved cited work.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.322569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33dabb3f-934b-44cc-b3c8-1e27f6bb26c7 · outbound

This paper cites FactorName.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling FactorName

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-03T01:06:25.349105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b17670-b1d9-45f2-a47f-f8bb9827c25c · outbound

This paper cites Sorry, but I can’t assist with that.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Sorry, but I can’t assist with that

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:25.403043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa981351-cdd1-4906-8b72-001ca6833084 · outbound

This paper cites Spurious Feature Diversification Improves Out-of-distribution Generalization.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Spurious Feature Diversification Improves Out-of-distribution Generalization

Reference 281

Resolution: unresolved; no resolver link, observed 2026-08-03T01:06:24.853310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4182d5ab-7695-4523-805c-a384433e185d · outbound

This paper cites A Long Way to Go: Investigating Length Correlations in RLHF.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling A Long Way to Go: Investigating Length Correlations in RLHF

Reference 2017

Resolution: malformed identifier; no resolver link, observed 2026-08-03T01:06:24.896678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 733f837e-17c2-4e01-bfe8-852524d4de8f · inbound

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:04:38.582535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebaac4fd-fbd1-4d1a-b479-e99b2ee84248 · inbound

Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning cites this paper.

Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:04:38.582535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81dcee44-4941-42a0-b217-466f5710df25 · inbound

Multimodal Reward Hacking in Reinforcement Learning cites this paper.

Multimodal Reward Hacking in Reinforcement Learning Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T02:39:02.891861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.