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Paper Citation Record · LEDGER

Efficient Long CoT Reasoning in Small Language Models

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.18440.

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

pith.paper-citation-record.v1
2505.18440 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:46.102978Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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  • verified fuzzy2
  • unresolved39
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 4a114a59-b3e6-49fe-b61d-f058ef6033ac · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Efficient Long CoT Reasoning in Small Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation bb07fd22-95d1-477b-a85b-fc16005e5e05 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Efficient Long CoT Reasoning in Small Language Models L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2

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Observation 8b08ecc7-8ee3-4a7b-831c-5eeab6c4aae9 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Efficient Long CoT Reasoning in Small Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 3

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Observation c71921da-2b96-4b9c-9b4b-ad07d35a02ab · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Efficient Long CoT Reasoning in Small Language Models Training Verifiers to Solve Math Word Problems

Reference 4

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source=arxiv_source observed=2026-08-07T14:36:43.512683Z digest=sha256:4767eba5a64b655d43fd74fac644465d78d9305617eba350d94bbae6aef91de9

Observation 44b9a2f3-6208-42bf-b982-edeab24d9410 · outbound

This paper cites an unresolved cited work.

Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 5

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Observation 619ed051-a114-44d8-8ad8-820d591f97b9 · outbound

This paper cites an unresolved cited work.

Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 6

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Observation 20356fa2-4e1c-47a6-a7c9-a5aa0f9d56a1 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Efficient Long CoT Reasoning in Small Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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Observation cd22b086-98c1-48f1-a84f-6057f7ca93a9 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

Efficient Long CoT Reasoning in Small Language Models Token-Budget-Aware LLM Reasoning

Reference 8

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Observation d03505e7-e8a3-4dde-b221-2e152a1ba6e7 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Efficient Long CoT Reasoning in Small Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 9

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Observation 7fe6e519-a497-4ae2-a5d8-9e0f31bcaa7c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Efficient Long CoT Reasoning in Small Language Models Distilling the Knowledge in a Neural Network

Reference 10

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Observation 5ad19a62-0255-40a4-a82b-d67a93c1cca5 · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 11

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Observation 9fada9c5-399f-4d01-8282-a8ec5740b0db · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 12

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Observation 9ff81f35-0622-4328-adfe-22ca7d7191ac · outbound

This paper cites an unresolved cited work.

Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 13

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Observation 150ff7bf-0c14-467c-9c97-f6a70d1f204c · outbound

This paper cites DeepSeek-V3 Technical Report.

Efficient Long CoT Reasoning in Small Language Models DeepSeek-V3 Technical Report

Reference 14

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Observation b3baf7f5-64d1-4219-84c9-eac5b171370c · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 15

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Observation 26be9375-9d1f-45cb-b5d2-b03ac6ecfa10 · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 16

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Observation 5891998a-ec5f-4b8a-8eee-d6e588e5f1e1 · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 17

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Observation 5cb01598-b305-4518-a151-da600572cce2 · outbound

This paper cites an unresolved cited work.

Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 18

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Observation efecde4f-3bcc-47c0-95b9-214a36b08dda · outbound

This paper cites Self-Training Elicits Concise Reasoning in Large Language Models.

Efficient Long CoT Reasoning in Small Language Models Self-Training Elicits Concise Reasoning in Large Language Models

Reference 19

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Observation dc4c9f63-6ea9-4840-ad8f-86e120bf7afa · outbound

This paper cites Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost.

Efficient Long CoT Reasoning in Small Language Models Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost

Reference 20

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Observation ef273979-6e5d-4689-8ec5-87753baf4c35 · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 21

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Observation be5c3f4c-cf0c-4d44-bdaf-dd23571bf3fd · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

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Observation 52929b51-a9aa-42c9-bdeb-bcba776bbffc · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 23

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Observation 1ca8f355-5074-4941-8483-1a650bbf9464 · outbound

This paper cites an unresolved cited work.

Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 24

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Observation 9b61cfea-577d-4614-be4b-80a52045e480 · outbound

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

Efficient Long CoT Reasoning in Small Language Models Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 25

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Observation ba3b7d7e-6364-46b1-b08f-5ce3c0b1f6ea · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Efficient Long CoT Reasoning in Small Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 26

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Observation a7670d48-2c4f-46a4-87b6-be6d9e661ea5 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Efficient Long CoT Reasoning in Small Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 27

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Observation d6137c5b-1c22-4737-8d9d-f6299266c412 · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 28

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Observation 4fb1b51a-4b0c-4ca3-b66e-e515fcaaa0bc · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Efficient Long CoT Reasoning in Small Language Models Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 29

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Observation e44a7c1f-8248-4fb2-a835-b32834b8fee0 · outbound

This paper cites Democratizing Reasoning Ability: Tailored Learning from Large Language Model.

Efficient Long CoT Reasoning in Small Language Models Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Reference 30

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Observation d7ab2763-3107-4352-a7cd-dc63418bccdd · outbound

This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Efficient Long CoT Reasoning in Small Language Models Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 31

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Observation 2075306a-548d-4a97-a12e-4c4202cdc891 · outbound

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Efficient Long CoT Reasoning in Small Language Models Chi, Quoc V

Reference 32

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Observation d506d928-30c6-4e4b-8095-0de765039ada · outbound

This paper cites Effectively Controlling Reasoning Models through Thinking Intervention.

Efficient Long CoT Reasoning in Small Language Models Effectively Controlling Reasoning Models through Thinking Intervention

Reference 33

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Observation 75ee1418-43e4-4d67-9a1c-fe532a8df298 · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 34

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Efficient Long CoT Reasoning in Small Language Models A Survey on Knowledge Distillation of Large Language Models

Reference 35

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Efficient Long CoT Reasoning in Small Language Models Think When You Need: Self-Adaptive Chain-of-Thought Learning

Reference 36

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Observation cc0f2846-e5a4-47e2-9ffb-19a6b7616fa2 · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 37

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Observation 063b4c10-a469-440b-8d68-ee72d56fe18a · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 38

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Observation c6c53d32-7b05-4b69-9458-6615365062ba · outbound

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Efficient Long CoT Reasoning in Small Language Models Unresolved cited work

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:36:45.978299Z digest=sha256:46db2305127f9ac18d55a858f69329e3c3c801a69f3b015bc3d27fec0f0d9cbb

Observation 6dc1441c-1806-4618-b9e4-cb632e2da625 · outbound

This paper cites online" 'onlinestring :=.

Efficient Long CoT Reasoning in Small Language Models online" 'onlinestring :=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:46.017292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:46.017292Z digest=sha256:c176d77dc23d12579e1ea6680e64c0fcf4657573cd7d7a35bf2cc351cfee2436

Observation 4cfad079-15db-4fb5-9ea8-0a2bded550f7 · outbound

This paper cites write newline.

Efficient Long CoT Reasoning in Small Language Models write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:46.102978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:46.102978Z digest=sha256:3e8936aaf43102d1be0a2a8dcd2e9cf2369ba2373e47325110442093bf3750de

Pith citing papers

No inbound Pith citation observations are available.