Paper Citation Record · LEDGER

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2601.21909.

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

pith.paper-citation-record.v1
2601.21909 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:52:57.142548Z

measured 46 of 46 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 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

46 of 46 outbound references displayed

verified exact0
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03949154-0246-4626-8627-8107394126c9 · outbound

This paper cites write newline.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.404126Z

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Observation d299b128-0f29-4165-b051-41baea0c6acf · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.486546Z

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Observation 597b6f69-0fa5-4b2c-a2ba-c6d6f82b2314 · outbound

This paper cites T., Feltovich, P.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning T., Feltovich, P

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.557446Z

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Observation 0adb5e2d-88aa-4787-bc8d-36d6c8ffda88 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.660916Z

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Observation 824797b2-2eab-49ae-887d-e0890fd45205 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.737461Z

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Observation fd41cb3a-75b2-4c37-9399-d6b65ca77288 · outbound

This paper cites Supervised reinforcement learning: From expert trajectories to step-wise reasoning.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Supervised reinforcement learning: From expert trajectories to step-wise reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.808175Z

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Observation 73c088e9-c972-4317-a839-67884c173e3d · outbound

This paper cites Theory-based causal transfer: Integrating instance-level induction and abstract-level structure learning.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Theory-based causal transfer: Integrating instance-level induction and abstract-level structure learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.870407Z

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Observation df9b6a1c-a1b5-441b-9afe-7731a3d85953 · outbound

This paper cites PAL: Program-aided Language Models.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning PAL: Program-aided Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.931921Z

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Observation 881a0dfa-63aa-45f2-b32b-e6a75935e05e · outbound

This paper cites Structure-mapping: A theoretical framework for analogy.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Structure-mapping: A theoretical framework for analogy

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:52.993653Z

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Observation 1055b0a2-c601-4c8f-b63e-53dd459cef29 · outbound

This paper cites an unresolved cited work.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.043616Z

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Observation 38085235-490f-481d-967a-19f282a016ca · outbound

This paper cites The Llama 3 Herd of Models.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning The Llama 3 Herd of Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.099722Z

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Observation a1b5cdaa-abd4-4682-ac5e-a3ad8e8a9f89 · outbound

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

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.153009Z

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Observation df4db203-8bbe-46bf-8811-8df07b58f0c7 · outbound

This paper cites an unresolved cited work.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.218331Z

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Observation f3fd5b45-d18c-46ea-aba0-9bf7d3a6e83f · outbound

This paper cites Compositional generalization through abstract representations in human and artificial neural networks.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Compositional generalization through abstract representations in human and artificial neural networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.265125Z

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Observation 84ea9a23-a26b-43c0-8f05-4286be73c63a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Adam: A Method for Stochastic Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.321726Z

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Observation 2b567197-d207-410b-876c-2ca94fb4ada5 · outbound

This paper cites Mawps: A math word problem repository.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Mawps: A math word problem repository

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.380471Z

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Observation ad00f497-f171-44a3-ba37-c4661987a3df · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.480561Z

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Observation 719c9849-4aec-4584-ade7-6c8d7cfd1fb0 · outbound

This paper cites D., Cohen, J.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning D., Cohen, J

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.644931Z

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Observation b284252d-bd80-4853-b5c9-9039367201bd · outbound

This paper cites Let's verify step by step.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Let's verify step by step

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.794665Z

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Observation 0f778b08-1513-4b56-9814-1927e1be69d3 · outbound

This paper cites Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:53.945286Z

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Observation 5234a885-8a0e-45ed-9088-f77498cf2e92 · outbound

This paper cites Towards a unified view of large language model post-training.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Towards a unified view of large language model post-training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.119238Z

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Observation 991f4cc9-d33c-47b8-ba09-2ce868d5f25c · outbound

This paper cites W., and Behrens, T.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning W., and Behrens, T

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.246041Z

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Observation aed24ea8-d1cd-4731-b99f-36337b5a6877 · outbound

This paper cites A diverse corpus for evaluating and developing english math word problem solvers.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning A diverse corpus for evaluating and developing english math word problem solvers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.354117Z

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Observation b9b6fbf3-2b7f-4a9c-9775-b33ea1aee5ba · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.465200Z

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Observation d77c5eee-0496-4cb1-bdee-1941e1b767d8 · outbound

This paper cites Abstraction and analogy-making in artificial intelligence.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Abstraction and analogy-making in artificial intelligence

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.554149Z

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Observation 4cf0a90d-4661-4c33-a30c-9e30a453e41f · outbound

This paper cites Training language models to follow instructions with human feedback.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Training language models to follow instructions with human feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.633374Z

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Observation 07e30e33-408e-4ecf-a777-7ff068f5df06 · outbound

This paper cites Plan-tuning: Post-training language models to learn step-by-step planning for complex problem solving.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Plan-tuning: Post-training language models to learn step-by-step planning for complex problem solving

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.696039Z

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Observation 47b807f3-2509-471b-bee4-cc3985adb1e6 · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Are NLP Models really able to Solve Simple Math Word Problems?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.747035Z

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Observation 5ada046a-e456-41ad-8116-866789fcc489 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.813802Z

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Observation 6be17ceb-6d13-4a5d-98d0-563f1a98f517 · outbound

This paper cites Proximal Policy Optimization Algorithms.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Proximal Policy Optimization Algorithms

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.896415Z

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Observation 7f0ce054-c423-4a49-890b-4e73028b022d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:54.976326Z

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Observation 1dfbcecf-f88a-41a9-917c-a0789484b3b8 · outbound

This paper cites an unresolved cited work.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:55.035510Z

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Observation d225e297-c130-4775-ae51-6de35305665d · outbound

This paper cites Cognitive load during problem solving: Effects on learning.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Cognitive load during problem solving: Effects on learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:55.120800Z

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Observation 02ef53d2-8ade-4ccb-a886-6e490e394334 · outbound

This paper cites Qwen2 Technical Report.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Qwen2 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:55.203049Z

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Observation 25f6e867-6b54-4b22-9a09-7d0307f3f696 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Solving math word problems with process- and outcome-based feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:55.390388Z

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Observation 6b42ea3d-cb52-4bb2-a765-04e608af4a2d · outbound

This paper cites Post-Training Large Language Models via Reinforcement Learning from Self-Feedback.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Post-Training Large Language Models via Reinforcement Learning from Self-Feedback

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:55.624948Z

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Observation 57a344f1-34a7-4e3f-8772-3b5bc2852c5b · outbound

This paper cites X., Kurth-Nelson, Z., Kumaran, D., Tirumala, D., Soyer, H., Leibo, J.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning X., Kurth-Nelson, Z., Kumaran, D., Tirumala, D., Soyer, H., Leibo, J

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:55.778877Z

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Observation 42edb151-c342-42d8-acae-edab792b795b · outbound

This paper cites A Survey on Large Language Models for Mathematical Reasoning.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning A Survey on Large Language Models for Mathematical Reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.005103Z

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Observation 3b9fa72b-c343-4503-a22c-74467f29fb60 · outbound

This paper cites UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.188957Z

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Observation 8c00f3af-7000-416b-bbea-f5d2c84d4de0 · outbound

This paper cites V., Zhou, D., et al.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning V., Zhou, D., et al

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.343925Z

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Observation 98225bc7-fb84-4608-8e11-aab62dc43bc2 · outbound

This paper cites M., Meder, B., and Schulz, E.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning M., Meder, B., and Schulz, E

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.504633Z

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Observation 0f05880c-5c37-43ad-9651-56f7c529caa2 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.712409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705591ad-5f76-428e-8bec-44a4f72c5fef · outbound

This paper cites Qwen3 Technical Report.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Qwen3 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.775626Z

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Observation aa4efabc-a5cb-4037-a9a2-d13caf639587 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Star: Bootstrapping reasoning with reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.923171Z

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Observation 1f62c9ae-3988-48bd-8147-6254c80880f5 · outbound

This paper cites Groundedprm: Tree-guided and fidelity-aware process reward modeling for step-level reasoning.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Groundedprm: Tree-guided and fidelity-aware process reward modeling for step-level reasoning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:57.031345Z

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Observation 1bbcb95d-0914-45b9-bdb9-a641c5ca952c · outbound

This paper cites Y., Garvert, M.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning Y., Garvert, M

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:57.142548Z

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Pith citing papers

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