Paper Citation Record · LEDGER

Large Language Models Are Reasoning Teachers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 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 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:14:33.602378Z

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

Observation 6f254c4a-8c19-4c69-94de-478503745cfa · inbound

MEGL: Multimodal Explanation-Guided Learning cites this paper.

MEGL: Multimodal Explanation-Guided Learning Large Language Models Are Reasoning Teachers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T16:56:10.796057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1353c1cf-bae0-4b15-b3c8-b866e30d01ce · inbound

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models cites this paper.

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models Large Language Models Are Reasoning Teachers

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-12T12:45:19.932907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fba4ef9-d53f-47b1-b691-eea4851c87e3 · inbound

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models cites this paper.

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models Large Language Models Are Reasoning Teachers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T19:42:22.762596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae9fa5b-c640-4e58-930a-cc0726152325 · inbound

Temporal Preference Optimization for Long-Form Video Understanding cites this paper.

Temporal Preference Optimization for Long-Form Video Understanding Large Language Models Are Reasoning Teachers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.136285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+00:00.

Observation 76cbda5e-7e7c-45f9-9ae2-008253d7765c · inbound

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability cites this paper.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Large Language Models Are Reasoning Teachers

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.602378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70360f32-8b0a-43c3-8883-310421c0fd03 · inbound

ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs cites this paper.

ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs Large Language Models Are Reasoning Teachers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:13.967499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19cbc337-e4b4-4300-a757-1ccc69f14cfb · inbound

ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics cites this paper.

ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics Large Language Models Are Reasoning Teachers

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T10:07:44.470552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e3d51b-4a89-4a73-8d86-82f96ff5d67b · inbound

Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques cites this paper.

Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques Large Language Models Are Reasoning Teachers

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T01:00:02.135615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59df8cc0-f133-4ca5-9ae2-7f0bf837be11 · inbound

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience cites this paper.

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience Large Language Models Are Reasoning Teachers

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:12.442903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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.