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Paper Citation Record · LEDGER

Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.13035.

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

pith.paper-citation-record.v1
2402.13035 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:40:57.775441Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T03:47:15.277778Z

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 8f38b95d-d9c2-471f-b671-55de3805bb75 · inbound

Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement cites this paper.

Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T11:40:57.775441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:40:57.775441Z digest=sha256:6245235b9d9bcecd5c8920fc5936c1121f34cb4307edf87620d39d21d8d48a9f

Observation 47d395e5-bc6f-4323-851a-4c5ba7b183f7 · inbound

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations cites this paper.

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:47:15.281126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T03:43:18.987241Z digest=sha256:4d7f00b2e2ec1406117d9d4f2439c5dff6d34c716e923c7c90e423f097b31afb