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Paper Citation Record · LEDGER

Enhancing Large Language Models through Structured Reasoning

As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2506.20241.

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

pith.paper-citation-record.v1
2506.20241 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:59:48.143265Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:57:25.068676Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved42
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d345bb54-b9cf-45ca-a1e2-12a1371e338a · outbound

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

Enhancing Large Language Models through Structured Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:45.469684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:45.469684Z digest=sha256:3b753ee0e0bf760c33d9160d64d74f0ba478e8735f3855b430dff2c909375449

Observation ab70c69c-a4ef-4508-a68b-a2fec113d9c0 · outbound

This paper cites OpenAI o1, 2024.

Enhancing Large Language Models through Structured Reasoning OpenAI o1, 2024

Reference 2

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T22:59:49.526674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:45.514770Z digest=sha256:129f1342ac02cc345277aa43d96869c7fc09bcd8351e758ad4e7cc42b21994f1

Observation 55e174ad-4425-48e7-8aa1-500093187d75 · outbound

This paper cites QwQ-32B: Embracing the Power of Reinforcement Learning | Qwen, 2025.

Enhancing Large Language Models through Structured Reasoning QwQ-32B: Embracing the Power of Reinforcement Learning | Qwen, 2025

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.508541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:45.578941Z digest=sha256:2c8769c6cc8634f597bef7494453a107e8a9bb0551693acf2ea50a90a53080b9

Observation 54b1fd76-0785-4645-a1c7-54d771406614 · outbound

This paper cites Roorda, C.

Enhancing Large Language Models through Structured Reasoning Roorda, C

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.493211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:45.640891Z digest=sha256:158c061b55239fb974fe525c73baa2639461f9bfd4b43b2e91d26359f5ec75f8

Observation 0ac62058-75fb-4c3c-a585-c1dfb5c63199 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.465768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:45.708515Z digest=sha256:ed25797a1be4a164e0c55f43bf1093db6b92d77d10ac1f905d0e8b0db1e2e50d

Observation 97803185-accb-4731-8d77-3dd83346b7b0 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.444098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:45.768004Z digest=sha256:4b328d3764ebe324c0fe8d179579350667cf0461a2d1b943bca12df4c922087c

Observation 51ff1d7a-5183-4366-bf24-646cc660ed25 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.429103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:45.833781Z digest=sha256:74921b211693204b94fc58bf866f2e792794a888d1528b321d3b2b6885311ef3

Observation fef22926-fe8e-4f54-9395-6fe5d3987f2c · outbound

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

Enhancing Large Language Models through Structured Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 8

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no resolver link, observed 2026-08-06T22:59:45.916328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:45.916328Z digest=sha256:e02fb283825b5f60921f89945b4fee52a8142d1863b315b1c9bc2278ea3c5061

Observation 1585ce05-275e-4315-b049-e1973a50a358 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:45.978336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:45.978336Z digest=sha256:a40d4c9200ad8f0838ae50c09c6b8f9bb7261760a2f5a163642f624d934395d6

Observation dbe4cb0d-273e-43ca-902c-da67e829dac5 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:46.039670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:46.039670Z digest=sha256:934a4154f54bd73e1a69efa2d164369c26034d0bcf299d3f6c0f7edfdcfa5423

Observation 08f3ec53-3ed8-401a-8585-5ea2b2e8efa1 · outbound

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

Enhancing Large Language Models through Structured Reasoning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:46.083128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:46.083128Z digest=sha256:13a44c3f70aaeaa356c5093ee4f26d05e45db6b3ed439e57103c726eae40852c

Observation 6a9e2d2f-f055-491e-b4f9-a0f41a517d5c · outbound

This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.

Enhancing Large Language Models through Structured Reasoning O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:46.147201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:46.147201Z digest=sha256:076cba90065119807177dbd0b832d5806fe6245a77ca1548a5af222ec867b8f2

Observation 84b722d5-38ef-4282-983c-56b9e236fd45 · outbound

This paper cites Zhang, J.

Enhancing Large Language Models through Structured Reasoning Zhang, J

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:46.212339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:46.212339Z digest=sha256:ae35f6524f0f53502ddfff61f7948973d44ffbffac80e89afb811ffb245fe922

Observation 8b23a828-0e2f-40f0-9eaa-2d58115196df · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Enhancing Large Language Models through Structured Reasoning ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:46.293137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:46.293137Z digest=sha256:64ac687e00c74e8d4f23115d96ca9218bcd996ca36d29cbe31dcebb76bfcbb7b

Observation 6dbe2e32-61ce-4993-a8f4-e22562267a1b · outbound

This paper cites Think When You Need: Self-Adaptive Chain-of-Thought Learning.

Enhancing Large Language Models through Structured Reasoning Think When You Need: Self-Adaptive Chain-of-Thought Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:46.354179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:46.354179Z digest=sha256:9ed42fe30f3911af07066b433b3a23450d9dc668a25ac17c7b36ace7f053fd33

Observation 13604075-c0ac-4584-ad5c-c4d10191d55c · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.413712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:46.417775Z digest=sha256:7d3e6d0d04269631a1c29a0f19f9694968aef3542170e36ec83d0a0c3b2af581

Observation 891950b3-20bc-40a2-940d-e97634cba014 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.396098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:46.507136Z digest=sha256:2f1f4daa034ae80b1d1bc49298edc7eea6c02f50490b9c145f9e5cde252c4728

Observation 3fbc8f27-11f6-4658-9396-bdb6d7354b48 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.376841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:46.577636Z digest=sha256:2db7ec8a8db43fa9c0cba6bbaf53a86e3b816b29e60e8fde42be07f6eea78685

Observation 0e11df20-d3fb-40d8-887b-274606130642 · outbound

This paper cites Kamfonas.

Enhancing Large Language Models through Structured Reasoning Kamfonas

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.356569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:46.644607Z digest=sha256:65b6488635d4bc7ec09907e0c6b70a5f05d0378be6802d7d38829fc8e10b04f1

Observation ce09a6d2-1c10-486f-8977-3b9c5b045d29 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.339197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:46.727414Z digest=sha256:a05e8fa39bfd3abb434b53221e3fde88f04135e0df5dc73e895b84d85fe4ace9

Observation 2ddc6934-2996-4644-8192-b9caa4916997 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.324018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:46.819564Z digest=sha256:fc6c2eb2523ae9d2be8d17c57eba5ea1ca65f2b84dd487a94f25f963dad41032

Observation d25a273d-1843-43ea-b0ad-aa5ed971379e · outbound

This paper cites OpenAI o1 System Card.

Enhancing Large Language Models through Structured Reasoning OpenAI o1 System Card

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:46.927672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:46.927672Z digest=sha256:2345d029986844ce8a94b155139189c1e9de39b97d755e9e78a2496d4b2d022a

Observation 74e81aca-82fe-4861-93ce-1256b18ed80d · outbound

This paper cites OpenAI o3-mini System Card, 2025.

Enhancing Large Language Models through Structured Reasoning OpenAI o3-mini System Card, 2025

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.306875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:47.078801Z digest=sha256:916a07a41c9e7085063d1b148489c811093cb112f99b7eab991c501c588e7e4f

Observation bd8cfdd2-5c10-41e6-8470-5e31feaf06e7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning, 2025.

Enhancing Large Language Models through Structured Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning, 2025

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.288884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:47.229179Z digest=sha256:54e6225f0ec5ff4a5d5b12ed89e4e520b884d98fa3feb63947d06c0790dbb187

Observation ee18b3ca-e463-41fb-85c0-a5cb804f8057 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Enhancing Large Language Models through Structured Reasoning REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:47.264139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.264139Z digest=sha256:f657dff2a6cefd5efbdbd36f403faac5a3f2085694204781582945969f17c5a6

Observation b947135f-db28-45e9-9c50-65f80934aead · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Enhancing Large Language Models through Structured Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:47.318044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.318044Z digest=sha256:e5131bee969c7581b5996bd33a2d0ad0a180176fe2548c0b7b07ae63e96610b6

Observation 450bebd0-af38-4ece-ac96-ebf204566c01 · outbound

This paper cites Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation.

Enhancing Large Language Models through Structured Reasoning Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:47.417741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.417741Z digest=sha256:7b0fc4b00aa73ef15e167dcbf616625307d864bfa275a07adcc9b9b31d8dcb0b

Observation 7a228f38-abdb-453c-813b-0609cfd6acc2 · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Enhancing Large Language Models through Structured Reasoning VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:47.529281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.529281Z digest=sha256:1432748fe773b6fe6497b02ac50401fddd70a1de8bb48b22561c88a910a78f34

Observation 4a258752-cfd3-47a6-b752-3262cb1f8910 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:47.650129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.650129Z digest=sha256:1a63a43a6548b0aea3a34fe83e9470f3ab36bc2684309cf23cbd63f4b0f90106

Observation 5783c661-6638-4b03-8a33-e79151566a43 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Enhancing Large Language Models through Structured Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:47.748775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.748775Z digest=sha256:d3757f4c178a21d93964d6cec03182f55affd0cef8209b2cd7f848e93a159429

Observation f11890d2-60ba-4fc2-a6d2-cc61e8d36991 · outbound

This paper cites One Framework to Rule Them All: Unifying RL-Based and RL-Free Methods in RLHF.

Enhancing Large Language Models through Structured Reasoning One Framework to Rule Them All: Unifying RL-Based and RL-Free Methods in RLHF

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:59:48.309032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:47.866507Z digest=sha256:b1e98c47df967b00610806705e2272c7880a8eab9cf5de5c4c5e24ee41c1f087

Observation 6db9ae10-fc98-4090-9e01-94de75763b3f · outbound

This paper cites Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback.

Enhancing Large Language Models through Structured Reasoning Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Reference 32

Resolution
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no resolver link, observed 2026-08-06T22:59:47.928830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.928830Z digest=sha256:631719f04fcb8ec6f29b90402f33091a807c8718ecd9758dafae3c73f4864858

Observation 2c88e462-fd60-4c69-a1e3-02b0b28a2579 · outbound

This paper cites Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.

Enhancing Large Language Models through Structured Reasoning Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:47.990084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:47.990084Z digest=sha256:022e03bd2349e776d262cd3da0d4bceb5d58de32d0b4425eda2f7049584c1c82

Observation 6d8809d0-986b-4520-857f-b063478862ad · outbound

This paper cites Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs.

Enhancing Large Language Models through Structured Reasoning Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:48.028518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:48.028518Z digest=sha256:bfd6fdedd54defebd2ba153403cbee604386bf4c1926a08b7f108be12175eb62

Observation 5a59053e-a471-4bfb-9cfc-3fa46ba07aa9 · outbound

This paper cites On Designing Effective RL Reward at Training Time for LLM Reasoning.

Enhancing Large Language Models through Structured Reasoning On Designing Effective RL Reward at Training Time for LLM Reasoning

Reference 35

Resolution
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no resolver link, observed 2026-08-06T22:59:48.033377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:48.033377Z digest=sha256:6575491978b9151dc023310d5d39315640706d88fc7d3ad3387fa7e427db1cbb

Observation 74f90f52-791f-4962-8d4b-90c7da856513 · outbound

This paper cites Process Reinforcement through Implicit Rewards.

Enhancing Large Language Models through Structured Reasoning Process Reinforcement through Implicit Rewards

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:48.038045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:48.038045Z digest=sha256:e3a88f9773711a13530528f0c29b5ddc45e04b8c42b67d59a805b43891ab4daf

Observation 06c6b973-ecf5-440d-b602-d3f5675e7b89 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

Enhancing Large Language Models through Structured Reasoning Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:48.043563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:48.043563Z digest=sha256:6c46412202a144bfe382395a34f90644d1f9b7e16a4a6524fa1b05b5debaf6ac

Observation 0fca5428-af59-4f06-8a6c-6c79a7adacdc · outbound

This paper cites Bhatnagar, V.

Enhancing Large Language Models through Structured Reasoning Bhatnagar, V

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.264411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a2c82dfd-d733-48cb-b46e-6285a0bef2ea · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.245023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.053948Z digest=sha256:9f789e0fd6c5a4dbbb3c71b965963ece7427f099a3f1f299198921c2dbf34fa3

Observation 741f4124-1317-421d-94ba-16b3e43ed2f8 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.228105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bb61469b-4b4a-4d6e-b4f7-79efe45f6504 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.212419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.063957Z digest=sha256:22f236d75fbf743aacc20d47face943bf6f1c566b02b2c659f5040f05c3abd9b

Observation 7d930afc-a71e-465c-beba-a45fb382e36a · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.196814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.069270Z digest=sha256:c7a522430189c7318bb55c43f8e1ac03cdbe15b799fd51441d2e15a7d5de0966

Observation cd54baa7-8a84-4b08-b9c9-dd582d1b3480 · outbound

This paper cites Jiang, Y.

Enhancing Large Language Models through Structured Reasoning Jiang, Y

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.179369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.078897Z digest=sha256:ff85b92d70badd7cc2b548565df0d9626ea34273b2a1f994fd8ea4b52113671c

Observation 52935426-e368-473d-be2b-6d8194f86bc8 · outbound

This paper cites Burns, S.

Enhancing Large Language Models through Structured Reasoning Burns, S

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.161951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.085464Z digest=sha256:0d909d2d5e5194866c19b6b3f06a24a3a2a761f731de5fc96c7fc120b91130f2

Observation d0d2ef86-90a0-4a74-9a19-bc81abf8b302 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.145741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.090056Z digest=sha256:90eb2aa6951b1e81a38cdc46e2bee9b051fd989caedff785256ac2540ad04889

Observation 82d718cc-6c5f-4272-aead-e7c5395bfe56 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.130428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.094527Z digest=sha256:27d57bdbbd563a73e2d2ffe244c8daa43c4d53de1556102fab38e9b59bc3f11a

Observation 2eb33b85-ce74-4da2-85df-d8513434af8e · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.115175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.098743Z digest=sha256:3012ebfe35456a62c3017ae109f776d5477c53513d15e7b31e5294882b978049

Observation 45ac64bf-6aab-4b9f-9177-b7932d5e8809 · outbound

This paper cites Burns, S.

Enhancing Large Language Models through Structured Reasoning Burns, S

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.098914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.103339Z digest=sha256:821c05a5fd0a9e0a43f8a6f19059dbee5bbf59d837076549c2200e4f01f4e820

Observation 7e45a742-9a50-47c9-a132-358acb4a8552 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.076205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.108414Z digest=sha256:e165697b4aaa21358f6bd9df0581e16853ac56f62bd0716a4a4a54aa3c96ed76

Observation ab1aa466-3e66-4fdb-b46c-6562144f801b · outbound

This paper cites Zhang, B.

Enhancing Large Language Models through Structured Reasoning Zhang, B

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.058814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.112649Z digest=sha256:16adbaf311f89dd13c5832cfd1f47d9b4ccd33928b4695031cc7f7f021595d9e

Observation 04c30372-2334-44c0-b9b4-d7f564a944c6 · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.041514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.117688Z digest=sha256:f6c7985d2760a7c62c9841760df9c9dc9b9899842888ee42c4196210d1302158

Observation b443cde4-46c3-4ff7-b4f1-9662990c261a · outbound

This paper cites Zheng, Z.

Enhancing Large Language Models through Structured Reasoning Zheng, Z

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:59:49.023961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.122223Z digest=sha256:27a3de4ef629e0bce398e653b1bdc17acf0867527de00c8fb8db628e423eaa55

Observation a3735c62-d0c9-4a3a-933a-c44a9144e05b · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:49.008984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.127664Z digest=sha256:cbe7663bab16408a428aa4ef9a6e42332ec49b39f03bd384bf96c88a259380ed

Observation d48f3de8-08d3-4419-88dc-59c89923c2be · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:48.993050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.132055Z digest=sha256:b426fbec2ae73aea10c7c86a25c73b9cc455489df8152a672298aa9aeb25aef2

Observation 91fa4bac-688c-460d-90bd-7d91fab31fbe · outbound

This paper cites an unresolved cited work.

Enhancing Large Language Models through Structured Reasoning Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:59:48.976946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.137113Z digest=sha256:d0a24d6921d22fd983b030849512dceecb556e7501acbac97913067c3433981a

Observation fb800494-a74d-461f-9917-f2a84e956899 · outbound

This paper cites S1 Structured 500 Completions.

Enhancing Large Language Models through Structured Reasoning S1 Structured 500 Completions

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T22:59:48.958046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T22:59:48.143265Z digest=sha256:a0fb52c1833a8ca4b3a9c78a52b04d352c3c3aaf2f0c95af5c99aae6a8f32233

Pith citing papers

Observation d94c7e28-c8ed-4985-8239-4986049b9868 · inbound

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs cites this paper.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Enhancing Large Language Models through Structured Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:25.068676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:25.068676Z digest=sha256:9408f31417de6bfe1081a4630041518edd7dd96ce1be975f19244127f2567b55