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Paper Citation Record · LEDGER

Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:31.503098Z

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

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:3841d54011ed1c8351eeaf023384d8d8406736d77b7035fcea2500d366b03ff9

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.

source=arxiv_source observed=2026-08-07T14:32:31.503098Z digest=sha256:091275f4b27eb87372e1921e5d20d7ec91ba7e827d9b72fef17e4673ed86b221

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

source=pdf_text observed=2026-05-13T23:53:19.148407Z digest=sha256:5652941ac76538141a7e0ffbb84e14b9f34af7e9628d06d0611cbbbc412b317a

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.

source=pdf_text observed=2026-07-13T15:50:49.083652Z digest=sha256:76ef650556a67730bcc262852b33d8c85b1a1ef39bb3adc3e3eba6155110f33a

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

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:a06d9543e28b1dde8934cdfa2dae993e6d9ce82bdc7944ae3f3489aee71efcf2