Paper Citation Record · LEDGER

Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.09170.

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

pith.paper-citation-record.v1
2404.09170 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:20:19.447284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T01:29:56.953253Z

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 f069f257-78ad-4902-9277-51f7bf9ffba1 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:56.957629Z

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 07575248-a8f2-4122-9cd9-3cdb2ccaaff7 · inbound

Thinkless: LLM Learns When to Think cites this paper.

Thinkless: LLM Learns When to Think Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:19.447284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d99eafc-6c8c-44e2-8c1a-0a68672eb086 · inbound

Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster cites this paper.

Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:31.503098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c1e11b-e7ad-425f-b5fd-b14f6b39d48b · inbound

Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.

Internalized Reasoning for Long-Context Visual Document Understanding Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:53:27.883587Z

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 91ab0fde-624f-4eee-b21a-475b2f02e42f · inbound

Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.

Internalized Reasoning for Long-Context Visual Document Understanding Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T15:50:49.083652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0572ef75-2eea-44e5-9ba5-d4c37e242b73 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.918346Z

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.