Paper Citation Record · LEDGER

Distilling Reasoning Capabilities into Smaller Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2212.00193.

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

pith.paper-citation-record.v1
2212.00193 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:45:20.076077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 cf79f997-8984-4103-93fc-7b75e0bf4c72 · 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 Distilling Reasoning Capabilities into Smaller Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T12:45:20.076077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f47611-1846-4d42-8e29-a4822852b890 · inbound

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

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models Distilling Reasoning Capabilities into Smaller Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T19:42:22.814812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7785893-e39f-48a0-bc0d-a4e16d8f8e84 · inbound

Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation cites this paper.

Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation Distilling Reasoning Capabilities into Smaller Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T17:37:40.763610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b45c7894-61c3-4b03-b761-5fce8ea192e9 · inbound

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification cites this paper.

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification Distilling Reasoning Capabilities into Smaller Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T13:39:04.476069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257dc47b-fe8a-44c9-a2f9-2b9ff886e6f3 · inbound

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability Distilling Reasoning Capabilities into Smaller Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:24.689688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26e25c4-142e-4fb3-bd9d-8a960bff3f6b · inbound

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

Learning to Insert [PAUSE] Tokens for Better Reasoning Distilling Reasoning Capabilities into Smaller Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:19.933207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e535acb-da1f-4c43-9b0c-23df43c80594 · inbound

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning Distilling Reasoning Capabilities into Smaller Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.023501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5735be7-56cc-43b7-8cfa-c2bad23c8ae5 · inbound

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery cites this paper.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Distilling Reasoning Capabilities into Smaller Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:22.374350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de40924-e738-4283-918e-1dad23ad4ab0 · inbound

Deep sequence models tend to memorize geometrically; it is unclear why cites this paper.

Deep sequence models tend to memorize geometrically; it is unclear why Distilling Reasoning Capabilities into Smaller Language Models

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:40:36.235761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d5052cc-e4bf-4c50-bf7b-4a2c0948d171 · inbound

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Distilling Reasoning Capabilities into Smaller Language Models

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-06-27T22:31:21.583158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5d0924f7-af5f-4a83-9f8b-29861e27fa5b · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Distilling Reasoning Capabilities into Smaller Language Models

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:32:46.691403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 191a9b54-8171-4add-b8d7-7cf65166ebc5 · inbound

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

Toward Calibrated, Fair, and accurate Deepfake Detection Distilling Reasoning Capabilities into Smaller Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-28T07:11:45.303811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.