Paper Citation Record · LEDGER

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards

As of 16 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 2 inbound Pith citation observations for arXiv:2603.16140.

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

pith.paper-citation-record.v1
2603.16140 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:06:58.622344Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:45:43.320339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:40.839626Z

Reference resolution

7 of 7 outbound references displayed

verified exact0
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 480922f1-bb1e-4662-a111-822261789100 · outbound

This paper cites (k in 12, -12).

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards (k in 12, -12)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:58.371730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6ffeb32-a9e6-4f68-953b-b6c85c2be53a · outbound

This paper cites (11) 6" and the student’s answer is.

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards (11) 6" and the student’s answer is

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:58.418877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d5de367-92bc-4e07-811c-9cd16651efdb · outbound

This paper cites an unresolved cited work.

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:58.466554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d80bc2ee-7187-4bd3-879e-f8ba8e534dfe · outbound

This paper cites 4\sqrt{2}.

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards 4\sqrt{2}

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:58.496848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a391324-85ef-4d1d-b6ae-c370c393d447 · outbound

This paper cites Yes" or anything equivalent to.

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards Yes" or anything equivalent to

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:58.529214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2022c4a9-8996-45df-8ad0-9e6d013a8b74 · outbound

This paper cites 2 + 2" and the student’s answer is.

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards 2 + 2" and the student’s answer is

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:58.590934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de5db2d6-6d6a-4442-80c8-cdb19d5279de · outbound

This paper cites 5" and the student’s answer is.

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards 5" and the student’s answer is

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:58.622344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fc0d0878-2e23-48f6-add8-555fa72e8844 · inbound

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR cites this paper.

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-31T02:03:17.773516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f31b986a-414d-42c2-bd7f-9b0cb02a77c8 · inbound

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling cites this paper.

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-31T02:03:17.773516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.