Paper Citation Record · LEDGER

Large Language Models Are Reasoning Teachers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2212.10071.

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

pith.paper-citation-record.v1
2212.10071 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:52.983948Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4848aa6a-45fc-4ef3-9f1f-5bed0f030b3a · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society Large Language Models Are Reasoning Teachers

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:40:53.773358Z

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.

Observation d5a4925d-9cf7-4fba-8249-468fb1a91c8f · inbound

ChemCrow: Augmenting large-language models with chemistry tools cites this paper.

ChemCrow: Augmenting large-language models with chemistry tools Large Language Models Are Reasoning Teachers

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:05:23.029090Z

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.

Observation ac4651a8-8a70-4dae-90aa-0d13757df6f4 · inbound

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes cites this paper.

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Large Language Models Are Reasoning Teachers

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:50:09.420797Z

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.

Observation 90fbd906-55f5-411f-bb95-23f21a25c90d · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Large Language Models Are Reasoning Teachers

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.446081Z

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.

Observation fd3f89ec-db34-4c16-8850-d4c00b0748e8 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Large Language Models Are Reasoning Teachers

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:09.360185Z

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.

Observation acc4923a-65ee-4c49-b0f4-8bb8e22ca0ea · inbound

Learning to Reason via Mixture-of-Thought for Logical Reasoning cites this paper.

Learning to Reason via Mixture-of-Thought for Logical Reasoning Large Language Models Are Reasoning Teachers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:41.771366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f3584a-e670-4288-a49b-47b1dff21b2b · inbound

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain cites this paper.

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain Large Language Models Are Reasoning Teachers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:50.858956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22e9a93-10c7-45f3-bd8f-2ea0ed615688 · inbound

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting cites this paper.

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting Large Language Models Are Reasoning Teachers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:19.649139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b992c6-8922-45e8-99df-b3e8f37d511e · inbound

Fostering Video Reasoning via Next-Event Prediction cites this paper.

Fostering Video Reasoning via Next-Event Prediction Large Language Models Are Reasoning Teachers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:41.915486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c2b67ab-fc90-4aca-a306-47d8d3a05927 · inbound

Learning to Insert [PAUSE] Tokens for Better Reasoning cites this paper.

Learning to Insert [PAUSE] Tokens for Better Reasoning Large Language Models Are Reasoning Teachers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:18.103061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184f7d57-246e-4f77-a73d-942a9892ec8e · inbound

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models cites this paper.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Large Language Models Are Reasoning Teachers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:43.714754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf558631-8b00-4af1-8774-58a917acfa48 · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges Large Language Models Are Reasoning Teachers

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:52.983948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a784fce5-b071-4cb1-acd7-c4d772b27063 · inbound

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes cites this paper.

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes Large Language Models Are Reasoning Teachers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:35.227419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2607e5f1-5665-4003-9daf-e74f78cc34c2 · inbound

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation cites this paper.

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation Large Language Models Are Reasoning Teachers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T13:35:34.971598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b28b426-b07f-4ee1-b864-07faad6cceb9 · inbound

Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents cites this paper.

Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents Large Language Models Are Reasoning Teachers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:29.185711Z

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.

Observation 6b2606cb-e864-4835-8129-d20447474b66 · inbound

Logic-Regularized Verifier Elicits Reasoning from LLMs cites this paper.

Logic-Regularized Verifier Elicits Reasoning from LLMs Large Language Models Are Reasoning Teachers

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:51:10.945161Z

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.

Observation 195dc478-7ec2-4193-baa8-11414f3f0093 · inbound

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts cites this paper.

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts Large Language Models Are Reasoning Teachers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:57.540134Z

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.

Observation 787ebcb8-3eee-469b-9126-82524201e18b · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Large Language Models Are Reasoning Teachers

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-28T07:11:45.256015Z

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.

Observation e77b6ca4-5671-441f-9352-f049a330bcd2 · inbound

Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics Competition cites this paper.

Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics Competition Large Language Models Are Reasoning Teachers

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:45:40.463320Z

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.

Observation 19069b9b-f3b1-47e5-8817-5c9c6fa2dfdd · inbound

LeAct: Learning to Reason from Expert Actions cites this paper.

LeAct: Learning to Reason from Expert Actions Large Language Models Are Reasoning Teachers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T06:32:19.542417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.