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Paper Citation Record · LEDGER

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.19094.

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

pith.paper-citation-record.v1
2403.19094 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:48:19.775542Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T06:48:06.025232Z

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 0625d111-4cbe-4aba-8ce7-1f3acee4675c · inbound

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning cites this paper.

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:33.373868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:27:33.373868Z digest=sha256:d9716ef7e2833b423249043a5d64bf736cf72a1b1d7906d728dcd1e5006467d1

Observation 50635aaa-6efb-41df-a2ce-15949f33fe06 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

Reference 198

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:36:24.286515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:de2ea8ecbee1224106cd247025a5da303561f2e283cfe867940f0061cbcff09e

Observation 4cec57db-df00-42f6-8997-800a29173a0e · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

Reference 146

Resolution
unresolved
no resolver link, observed 2026-08-16T00:48:19.775542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:48:19.775542Z digest=sha256:51200e0b0355240d11ff7aca0020dfc3b4299744dd7c803eead52743236cd332

Observation 6107824d-7f6a-4306-814e-38d6ba1e134e · inbound

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation cites this paper.

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T17:30:45.884033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:30:45.884033Z digest=sha256:f3beced050a64866aa93e1ba1335a1aead0c94b6e535e960a527edcdb4eb1f68

Observation 931296db-0a11-41a9-8d1c-2b0d8829db4f · inbound

Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution cites this paper.

Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:48:06.027267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T06:43:23.870127Z digest=sha256:b3138bb9fbc14968d5c623c613878315636044121e3ed175f718e05ff72abe6d