Paper Citation Record · LEDGER

Distilling Reasoning Capabilities into Smaller Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:37:40.763610Z

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 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.