Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2212.10001.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:20.629456Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 573a0b81-4faa-45e2-b2fe-bb738b523942 · inbound
Towards Expert-Level Medical Question Answering with Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba27426c-431b-42dd-827a-9b00cf0d4092 · inbound
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 118
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5e1babae-523a-425d-8438-b31ab05443fe · inbound
Training Language Models to Self-Correct via Reinforcement Learning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 125
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2bcf1209-3a31-4db7-8bb9-9b63c2e0e948 · inbound
Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ca4db71-6e65-4b7c-a84b-57c8bbd7c04c · inbound
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8cbbbcd-cec7-408b-832f-a025516fb4fc · inbound
Training Large Language Models to Reason in a Continuous Latent Space Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a34f3211-2349-41c9-b142-f2d2abf8f2c9 · inbound
A non-ergodic framework for understanding emergent capabilities in Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 124
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 762e25e8-34e0-428d-aba7-a6cc621749e5 · inbound
Large Language Models to Diffusion Finetuning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 909104fc-f6bc-403b-bcd1-2c34922e305e · inbound
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 173ef2ff-54f8-439b-adec-bcbda335e871 · inbound
XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2720872-3cda-4532-bf12-a9a4e8fc54e8 · inbound
Towards an AI co-scientist Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 181
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c9b7f3f1-9ee2-4f7a-8190-72f813afaabc · inbound
From Evidence to Belief: A Bayesian Epistemology Approach to Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa40e47a-7999-4e18-b18a-4452f49aab27 · inbound
Benchmarking LLMs in an Embodied Environment for Blue Team Threat Hunting Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 92
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b91d63d8-6028-4394-83f3-e7d694b1c80f · inbound
Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54c04625-fb6d-4afd-a67b-5184e21149d3 · inbound
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e489ebc3-cc2f-4070-8a70-64637c89b932 · inbound
SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b820f736-39c1-48c9-8252-0031a060102b · inbound
A Statistical Physics of Language Model Reasoning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baf7a07b-7520-4b4b-ad2f-faac2d4e86b9 · inbound
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dada2299-e478-4505-a5b2-83ec775c3ed9 · inbound
Distinct Computations Emerge From Compositional Curricula in In-Context Learning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bbc517c-394d-4f27-b53a-39185559dc19 · inbound
WebGuard: Building a Generalizable Guardrail for Web Agents Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 327841fc-0247-4d77-829c-1b6491e081e8 · inbound
GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 117
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 24a463b9-bcb9-479c-9c74-10d3354b88aa · inbound
Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f7f78bc-dc1d-4a6c-9f4d-158b6e3b13e7 · inbound
Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 60
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8b922bd-8073-489b-a3a2-d81e7b72e211 · inbound
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e41c3365-be8c-4bf5-9f48-9af7ae4b5467 · inbound
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.