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Paper Citation Record · LEDGER

Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2505.03469.

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

pith.paper-citation-record.v1
2505.03469 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:11.584022Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:37:40.333294Z

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 2cc84690-af39-4bad-99f1-bf68f8125074 · 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 Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 218

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T01:29:57.281342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:d234b077463f4bbb2b543d1fe8a818aaa7bd2a3813990e6eab56e01ad1f8912a

Observation 24b9dd8e-c2af-4876-a4d0-47fe83c59cac · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:11.584022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:11.584022Z digest=sha256:f015f748b607311a6554e9e13655c5ca96a68f75603922e2e89bb16661055f44

Observation 62591bde-b2a5-4ab2-890d-76c45a9ebf11 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 229

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:18.005503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:18.005503Z digest=sha256:05ad420bd3ec385bd4cb8014b04b668799d96cab744797ae81569093619e10b0

Observation 174533d3-3453-4c01-b903-6b6de6dc15dd · inbound

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T05:43:54.937457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:43:54.937457Z digest=sha256:f20193a866384f561c5c8f580ceff128818247e87f02df5dd80586f573c246ff

Observation fc8ac5b9-ad90-4940-9cb7-8b377e265cc0 · 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 Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 220

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:06:10.018383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:0289f06bd47b0c85479222ec8dda6c7cab02702030a8067027a1f81dc1127fb1

Observation f067d6e2-086f-470e-9637-1c7b65f17a08 · inbound

Compute Where it Counts: Self Optimizing Language Models cites this paper.

Compute Where it Counts: Self Optimizing Language Models Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:46:29.847356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:57:58.649358Z digest=sha256:b637500c4235975210a4af03935ca137828fa996cec42b72200ec9cb9192b0d2

Observation 9c936102-25f3-4341-b092-773cf176525d · inbound

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning cites this paper.

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:07:54.504006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T20:02:58.318276Z digest=sha256:ecdb2ef251a47c5e148ff7786535253c340519ace3217673ae13030236000434

Observation 6e58de30-ebe7-41b1-9b1a-b99bcde64c65 · inbound

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning cites this paper.

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:22:45.290019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-19T20:21:48.657926Z digest=sha256:3837b1891ee80e000263471979e511aee0fcfac2a1712a1ac8bfc20c5b935b33

Observation 636a11da-1961-4e32-b480-cfa3e0b4f01f · inbound

ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models cites this paper.

ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:37:40.335160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T13:09:37.979051Z digest=sha256:d84b322844a828801392d6963b7cf34efdcaa3c68cfdace819d018bc31f4c542

Observation b8a91b08-ae89-46bc-aa36-f0825b18019c · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:28.315317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:28.315317Z digest=sha256:4de2e6cd82ba50fb2945a51bc1f47c2a1f456898561ada71dcd8b9d336abbb8a

Observation 081183ca-e9d8-4ee0-ab2c-bb958653f164 · inbound

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD cites this paper.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-01T10:42:42.084760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:42:42.084760Z digest=sha256:13503d7d358c28ec5a658231eae1b0b274ccfb706c82e5633be619baf8421747