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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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:49.287483Z

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

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 8ecd2d56-868b-40e6-ad7f-9f1c6d472c8a · inbound

Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation cites this paper.

Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T15:47:21.358285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 096bde52-f44b-4e64-b095-c1fd686ca6a6 · inbound

AgentRefine: Enhancing Agent Generalization through Refinement Tuning cites this paper.

AgentRefine: Enhancing Agent Generalization through Refinement Tuning Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:24:43.152468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 0d26f822-31f8-4c19-85a5-32315c886a10 · inbound

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages cites this paper.

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T15:49:27.841494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:49:27.841494Z digest=sha256:9928e412d6082bd15509277a5efb642fd7cf7ae959060a06f92eb31a9e26607f

Observation 5204a01e-c412-49a2-b204-72b6b5df024f · inbound

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models cites this paper.

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T00:27:17.673387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 542152b1-4ed4-4c88-b19c-2b68971428c2 · inbound

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? cites this paper.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T20:25:16.968703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:25:16.968703Z digest=sha256:2fd9a96602f1df1d60d68453d0ec1a9b0a2229cc3e1fdae62379af43e95a644f

Observation a29f7490-c1b5-4fad-81de-932fb7350fdf · inbound

Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving cites this paper.

Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T23:31:49.287483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:31:49.287483Z digest=sha256:4ed6c216d005f806a8b48891fce2c3fd8c2d33d8cf1eeddb48c0eeafb54974bc

Observation b59d3046-559f-4cf2-951f-1b2b0749e4a1 · inbound

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding cites this paper.

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:42.925594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:42.925594Z digest=sha256:12ff71c3662553f29f8c94a4948c1900ffdac7f763d76735abc565a2d54393db

Observation a6724760-13bd-44c8-bab3-1b31fdef9bd7 · inbound

Boosting LLM Reasoning via Spontaneous Self-Correction cites this paper.

Boosting LLM Reasoning via Spontaneous Self-Correction Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:30.751555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3124071d-b431-4a8c-b33f-7df13da07041 · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:47.530143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:47.530143Z digest=sha256:a30ca58b4309552988fbb1a7d7b167b5edfce40975c3772516cfdd08e4796cbf

Observation 192be150-0851-4201-9320-8526a2359f40 · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-03T15:22:55.718053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:22:55.718053Z digest=sha256:8335c8923a48293c6ab90ad527c31d95aa54391d483e28d121b8a300a03f0668

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T05:40:25.414166Z digest=sha256:b436dfcacb417c880e68a63bb0e56c2274297c4a2db9a8fda58c86cc810c3647