Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:19:57.613688Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2504.20946.
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, observed 2026-08-16T05:19:57.613688Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation db34fa8f-57f1-42f9-b935-1c41244d5131 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Can LLMs perform structured graph reasoning?
Reference 1
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Observation 689231ce-03b6-4a97-ac0e-521ca67b196f · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Language Models are Few-Shot Learners
Reference 2
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Observation 0899e5c3-7718-4c8c-ba49-65bba25aae15 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 3
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Observation 7506e141-6003-4a13-84a1-362ca612649e · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Unleashing the potential of prompt engineering for large language models
Reference 4
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Observation e2b55c18-f68d-42c8-938c-7422a8dfb35f · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
Reference 5
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Observation ee905b54-88c6-4249-a495-081a48b29b70 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Reference 6
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Observation 0e58d9e0-9e46-4688-9da6-f30e4d216de6 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Training Verifiers to Solve Math Word Problems
Reference 7
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Observation 69b9990c-c9ac-495b-a0dc-17d486c6b9a9 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Reference 8
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Observation f3fba6ed-2c05-4c19-996c-dc596cc22f2c · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Successive Prompting for Decomposing Complex Questions
Reference 9
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Observation 43d4e24a-cbb3-4851-88dd-50292cb6d62f · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Socratic Reasoning Improves Positive Text Rewriting
Reference 10
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Observation f021245d-6c6b-4e8e-ab5a-5e21c4f82b63 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition MiniLLM: On-Policy Distillation of Large Language Models
Reference 11
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Observation be738131-80a1-42c0-a49f-8d4b66328b42 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Textbooks Are All You Need
Reference 12
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Observation a9d5048f-6545-4db7-82d1-37f983a3b033 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Embodied LLM Agents Learn to Cooperate in Organized Teams
Reference 13
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Observation 5b2483e6-c862-41e7-930b-bcbf8a3278e4 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Distilling the Knowledge in a Neural Network
Reference 14
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Observation 22c5e922-e9da-45b7-99ab-77e545bab535 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition $\texttt{LM}^\texttt{2}$: A Simple Society of Language Models Solves Complex Reasoning
Reference 15
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Observation d989cdf2-9a5d-4a6b-a824-903deec75c5e · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Reference 16
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Observation 5427d922-4fd1-45a2-978b-09b446af9d96 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Large Language Models are Zero-Shot Reasoners
Reference 17
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Observation d8f2374a-453d-43a4-aaec-97bd96b71c36 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Unresolved cited work
Reference 18
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Observation fda2a4a9-7891-44a2-b98b-2c307cbc5b1d · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Reference 19
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Observation 3a5d76f4-913a-4699-bf7e-3938f11d9687 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Long-context LLMs Struggle with Long In-context Learning
Reference 20
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Observation ae821507-cc28-45e5-a1bf-4c9bf27736f5 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Evolving Knowledge Distillation with Large Language Models and Active Learning
Reference 21
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Observation 52e085ff-7099-48c7-9eaf-020fd871e4c2 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Social Learning: Towards Collaborative Learning with Large Language Models
Reference 22
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Unavailable: canonical work link unavailable.
Observation a8214e23-e340-4b16-a5d4-930f5e6b60de · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Measuring and Narrowing the Compositionality Gap in Language Models
Reference 23
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Observation 60a59085-42e8-4574-a05e-c0e00a7922d9 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models
Reference 24
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Observation 2f1c4682-7f6c-4683-a2e4-236e36a3ecd0 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Reference 25
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Observation bd65af0e-e675-4019-a823-c2eed5051e25 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Distilling Reasoning Capabilities into Smaller Language Models
Reference 26
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Unavailable: canonical work link unavailable.
Observation ee3e4ac0-a9ba-4180-bc5e-a4a1c812f708 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents
Reference 27
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Unavailable: canonical work link unavailable.
Observation 29a86ea5-1aa4-44c1-8fa3-81ba8edc79bf · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Gemma: Open Models Based on Gemini Research and Technology
Reference 28
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Unavailable: canonical work link unavailable.
Observation 9d7e7c3f-1824-4c15-8cd0-2b1885c1d50b · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition LLaMA: Open and Efficient Foundation Language Models
Reference 29
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Observation c28bfb2d-cf0a-46d0-b09a-ae65c0145e8c · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Zephyr: Direct Distillation of LM Alignment
Reference 30
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Observation 686410cb-4d51-4a3e-84fd-d86c57571465 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Adapting LLMs for Efficient Context Processing through Soft Prompt Compression
Reference 31
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 531ace41-b313-4653-a29f-768bc67414fd · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Reference 32
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Observation 24311791-fa28-4dec-853b-eb606db87d5d · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 33
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Observation 5897fa4d-def6-4e69-95ab-073b3ddd05cf · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 34
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Observation 98990695-119f-467a-9b03-1094f184a004 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
Reference 35
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Observation 4426e90b-aa31-4c26-9ce2-cbdfda44e718 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition WizardLM: Empowering large pre-trained language models to follow complex instructions
Reference 36
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Observation 173df668-f811-4406-868d-43dcb60ab234 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition A Survey on Knowledge Distillation of Large Language Models
Reference 37
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Observation 3642f93a-a756-4231-a662-40feab2f0dfc · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Reference 38
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Observation 5f0b03ed-ae87-45bc-bed3-936b8dbfe1de · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Reference 39
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Observation 58708d3a-6ea2-4153-bf05-7c38ea260217 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Small Language Models Need Strong Verifiers to Self-Correct Reasoning
Reference 40
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Observation 8e5763d6-993d-4cd3-8486-ca78aab9cbea · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Progressive-Hint Prompting Improves Reasoning in Large Language Models
Reference 41
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Observation b8f30756-469e-43e2-8919-a9002612d71a · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Reference 42
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Observation d8904698-4fb3-4241-88b2-6d4f099e0a82 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Reference 43
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Observation 97030440-62e9-4855-bfb3-57d3f5a90ea0 · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition URL: " 'urlintro :=
Reference 44
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Observation 54a3a619-6a24-403e-93c9-1f843ee347eb · outbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition write newline
Reference 45
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No inbound Pith citation observations are available.