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Paper Citation Record · LEDGER

Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

As of 29 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.16293.

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

pith.paper-citation-record.v1
2408.16293 v1

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 2026-07-29T08:13:00.99439+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T12:04:10.210508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T12:04:10.446876Z

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 ea802dd7-a3f4-4a5a-a661-319163367f92 · inbound

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

Training Language Models to Self-Correct via Reinforcement Learning Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:04:10.449986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

source=arxiv_source observed=2026-05-17T12:04:10.210508Z digest=sha256:09c80aa7e5b88515e22a4610455994ef135ed407697575482c9ab7fe04c47670

Observation 08554cea-3c3e-4716-860e-ca8bd5845882 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:36:27.631091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:95f2f0575d24ca63ffd72f7d78b734a2c3f0aa80d88f2324b8a0557b382cae81

Observation ff5a3ed2-f601-4b1e-bed9-e06acfc1e669 · inbound

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning cites this paper.

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:41:01.819956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

source=arxiv_source observed=2026-05-10T05:40:25.414166Z digest=sha256:1d9eb5a208c245b40ab065b41d3c726057555f459b3b83c3d8fbe54cafbee2d4