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Paper Citation Record · LEDGER

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement

As of 21 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2605.30888.

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

pith.paper-citation-record.v1
2605.30888 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:45:45.812699Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc6448ca-57ab-472a-82b4-ec82c98070ac · outbound

This paper cites Process Reinforcement through Implicit Rewards.

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement Process Reinforcement through Implicit Rewards

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T19:25:59.865795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T22:45:45.812699Z digest=sha256:c52460c0b9500c3afe885536f9038b3d5a6b574705ba5002630388664936181d

Observation c461e07b-b884-4024-a723-128acf495ea6 · outbound

This paper cites In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28,.

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T22:45:45.812699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:45:45.812699Z digest=sha256:552836779fe577c168a3543f994165521af554d3176dab2fad686179390ff666

Observation ab73f003-ea14-4d3d-8ca0-675ce7b261c7 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T19:25:59.863385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T22:45:45.812699Z digest=sha256:7033baa45b0791888576249a5b488bb4b9ba0ec3d32d60d161a398e9cd7da253

Observation 6d6ef053-c41a-4f6d-8500-5acf34162c40 · outbound

This paper cites Proximal Policy Optimization Algorithms.

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement Proximal Policy Optimization Algorithms

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-01T19:25:59.867952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T22:45:45.812699Z digest=sha256:976cb7f4b7bf5e1ec1754975eaca580f8c6f5b10a11d85d9c1002835053713bb

Observation 3b820d05-c515-4f02-8ea9-312c88f200bf · outbound

This paper cites Group Sequence Policy Optimization.

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement Group Sequence Policy Optimization

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T19:25:59.861051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T22:45:45.812699Z digest=sha256:985919b36e590872722bc58989861b828591671df5804a684f18d583a55123f3

Pith citing papers

No inbound Pith citation observations are available.