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Paper Citation Record · LEDGER

A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.10867.

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

pith.paper-citation-record.v1
2502.10867 v1

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 2026-08-17T06:30:58.91139+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:10.828360Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:58.254040Z

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 2507e31d-74d1-4d0c-9646-f009e4797694 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:10.828360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:10.828360Z digest=sha256:bbe5f52f28610c53635d2b851b552b03b2f35a84b9321a7f01eff9f08655d9a0

Observation b11abeee-d132-4cfb-aee1-84801f49987e · inbound

System Prompt Extraction Attacks and Defenses in Large Language Models cites this paper.

System Prompt Extraction Attacks and Defenses in Large Language Models A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.865072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.865072Z digest=sha256:5975520a035324aa3a134d5fd0f1f9ebb8bdb8a3a8a715d3520b0c08cd1f4483

Observation 390a122e-41b9-40ac-b078-81bc7602d9ff · inbound

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling cites this paper.

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:49:35.478844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:49:35.478844Z digest=sha256:8219a40350ae76510d565cb192a354a7c4c5f9bee2a3f6a1bc02838b98a5a689

Observation 241ed78f-1364-494a-aba6-cba71ea14e08 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:14.770858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:14.770858Z digest=sha256:1f4a38f9de015d0c411b7eab7abb1c93dc5b9bd930eb9b5e22bdcbd0ef806080

Observation 2db19066-3c93-40d1-9c73-2bf8d7a14b65 · inbound

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T17:47:40.204182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:47:40.204182Z digest=sha256:b4e813fb26f1e046ed03511c22b1f8166d0cfff5ea82959535a1bf0a7f63a6d5

Observation cd338c7f-a2a4-4ab0-a10d-7d2a081ee725 · inbound

Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System cites this paper.

Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T19:30:24.449266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:30:24.449266Z digest=sha256:473c6be7001a7d02fce8e04f88c01756d53ec8c81e68fcc0938ec1de77f4f5a5

Observation 87a9fd74-86e9-40b5-acb8-6267af29c601 · inbound

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains cites this paper.

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:49.328478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T19:29:30.436621Z digest=sha256:4e1857423b1a652575a027e98273bf3b566c3f73495898fd7f8cede852f54f4e

Observation d9283059-90d5-47a1-8675-c50076f2cc32 · inbound

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search cites this paper.

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:16:20.856469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T06:15:11.432788Z digest=sha256:ee9f8c3d8e613f364b8e9776ba157a37295505c3676fa15c1ce198c622a54cf1

Observation bb64c6ad-6214-4845-805a-746362680c4c · inbound

Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments cites this paper.

Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T10:19:59.838610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T10:17:29.611062Z digest=sha256:391fe50f663d333d2a4a062c007f1a9c8bbaee0ade1b40626d21abb3325c89f1

Observation 42acaa15-6f54-450e-a48a-20977ccb8955 · inbound

HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation cites this paper.

HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:36:40.517421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-25T05:30:37.320976Z digest=sha256:5679b5cb47eab349bf09df28bc1c1c3be7434e1484dad229148bd0be15736852

Observation 24c889ff-206f-44c3-9592-01d78b57c159 · inbound

IsoSci: A Benchmark of Isomorphic Cross-Domain Science Problems for Evaluating Reasoning versus Knowledge Retrieval in LLMs cites this paper.

IsoSci: A Benchmark of Isomorphic Cross-Domain Science Problems for Evaluating Reasoning versus Knowledge Retrieval in LLMs A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:18:58.255602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-03T21:12:57.721334Z digest=sha256:9e5813e3562ddb5d1fbb603bf6e80af64bbba597874aafae8227e913d95cddee