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Paper Citation Record · LEDGER

ProgCo: Program Helps Self-Correction of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.01264.

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

pith.paper-citation-record.v1
2501.01264 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:41.775663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:36:24.341629Z

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 815e9648-78a0-437c-b92a-ce42f27c7f06 · 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 ProgCo: Program Helps Self-Correction of Large Language Models

Reference 221

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:36:24.343279Z

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=2026-05-13T01:36:23.845366Z digest=sha256:309efb8df93b0da70bcf843fa4f17f8f2d64bf65f168ea1346694e9962d7bd77

Observation a7b983a0-a945-46db-9a08-1b70d88e047a · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI ProgCo: Program Helps Self-Correction of Large Language Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:41.775663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:41.775663Z digest=sha256:d5fec8ef05ff1bc895a5b047f239e78beb5617d63ea940127888b42131a70798

Observation a2e3665c-0c78-43da-9316-e6f3c77c9028 · inbound

Introspection of Thought Helps AI Agents cites this paper.

Introspection of Thought Helps AI Agents ProgCo: Program Helps Self-Correction of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.854627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.854627Z digest=sha256:802f764fc0bda716f4cbc0d7c1e80c226c9c09f1262e3af800a9f418e8065c16