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Paper Citation Record · LEDGER

VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.03058.

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

pith.paper-citation-record.v1
2508.03058 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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:18:46.456767Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:09:40.687042Z

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 c904f56b-2d0b-4a9d-bd59-d0590906910c · inbound

Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning cites this paper.

Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-23T03:12:32.290368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:09:29.657563Z digest=sha256:d632169c2bf033b895c7b4e5088edfe2dff49b48ad598884d27c257af59d9aec

Observation a802aac9-2a2b-4d9f-9b4f-0e8d9253ed4a · inbound

Explicit Critic Guidance for Aligning Diffusion Models cites this paper.

Explicit Critic Guidance for Aligning Diffusion Models VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:23:50.766504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T18:18:46.456767Z digest=sha256:78bb041523930f1fb03976f3ba7662d86191597bf3773e1325c984f1f1842e07

Observation 122255db-7a68-4f5d-9272-6062f6623502 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training

Reference 200

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:56:13.710946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:3e0e27e06bebd05e14ac3766bf90d4804d5626402d39737c44539c0b43b1138b

Observation b5d0fdbb-6510-41ee-9334-fbcd50a0fa22 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training

Reference 281

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:09:40.688325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T12:15:08.304150Z digest=sha256:ab573de8d8438b2033b960d01b1fd9a3bb6f08e8abbd7b8baad97d906b10abc0