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Paper Citation Record · LEDGER

Small Language Models Need Strong Verifiers to Self-Correct Reasoning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.17140.

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

pith.paper-citation-record.v1
2404.17140 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:12:42.029270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:59:37.840996Z

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 6b570ab0-224b-41fb-8935-7785e809cf82 · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T12:04:10.494762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-17T12:04:10.210508Z digest=sha256:ae73ba076e0f9a5c1ef4fc298964f2876fe4fce14f2f26dbb81ba90b223d2d44

Observation 47b804db-5a56-4561-b9c2-a8ebffe571fa · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 241

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T01:29:57.427975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:0f9398a57cf2e211dc883f00bd133352dc6ecc6cbf55cbe9b56b4f48490d1aab

Observation 7f8c6c4b-7dab-41a6-9e1e-9e893284199b · inbound

Error-Aware Curriculum Learning for Biomedical Relation Classification cites this paper.

Error-Aware Curriculum Learning for Biomedical Relation Classification Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:42.029270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:42.029270Z digest=sha256:be2a86ea930e4a2449cef0a8e6b63aec36bbc87b3ba9d8f6e2dd4665d38701c8

Observation 8f21145a-2da8-4827-b183-28c5bb86f8d7 · inbound

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T15:37:24.967055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:37:24.967055Z digest=sha256:b7942c2bc30af1bddd2e3b137714a29e72f40d27130d02b68540cf834163d03a

Observation af8bd071-788a-4dc4-abd2-e7f0a6b55d65 · inbound

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis cites this paper.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:00:25.491154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T22:59:48.260121Z digest=sha256:ad5b75431c935d62b9620c7c9eaa820d65f3301a666094ada641510cb3cd116c

Observation 4cbf25de-1879-4333-900a-a72103915726 · inbound

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding cites this paper.

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:16:05.883907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-09T23:05:05.251150Z digest=sha256:29ae4c0e0eb020f91bb60a39b17a96c08eb55d97b1f07bde842a9383abc3b387

Observation 9ef82cf9-ccc5-487b-8268-e6281ca23b82 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:06:09.427633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:e1de3afe022ded19165dea77d7c48bda1836edf08a3829e06f856aed28654c5c

Observation e441932f-a3d6-44d8-a93a-2db2acaf590f · inbound

Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning cites this paper.

Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:59:37.842752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T13:59:56.442032Z digest=sha256:e3ae8786aa6a01608592c2939992aad3437124747bfc565e14b27fdcbd9d508f