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Paper Citation Record · LEDGER

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.12226.

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

pith.paper-citation-record.v1
2501.12226 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:27:43.154714Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

20 of 20 outbound references displayed

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  • verified fuzzy0
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  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9106f11c-fdf1-4336-b9ee-08ff5fefe251 · outbound

This paper cites Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 2

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no resolver link, observed 2026-08-10T17:27:43.033365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.033365Z digest=sha256:f10fecb1410c26d3c05f8ebe473997cc27979656f54182d14c36334877283afb

Observation 72cfb60b-f9d6-4995-8350-4ae4aa20ba29 · outbound

This paper cites Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

Reference 3

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source=pdf_text observed=2026-08-10T17:27:43.039793Z digest=sha256:2bf419daf855d9fa835f2b6f2258c2e382a2983d7ff5b8ee1f290f0d695abcf4

Observation 88df8f70-426e-490e-bdda-4b2c6144aba9 · outbound

This paper cites MathPrompter: Mathematical Reasoning using Large Language Models.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning MathPrompter: Mathematical Reasoning using Large Language Models

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.068625Z digest=sha256:5363819d634a441ebe37a4fe52e3f67ac60f0d2517b9cf230b7d536e24f6398e

Observation b2037e19-e2b2-4fab-b003-da5ff8a72f98 · outbound

This paper cites MoT: Memory-of-Thought Enables ChatGPT to Self-Improve.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning MoT: Memory-of-Thought Enables ChatGPT to Self-Improve

Reference 7

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no resolver link, observed 2026-08-10T17:27:43.075910Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.075910Z digest=sha256:624c0677fe653b55034564881bdc4688789ee8c0d12e383492bd42f856461f0c

Observation 28b78448-60bd-44e5-aa9d-954dca77322d · outbound

This paper cites Making Large Language Models Better Reasoners with Step-Aware Verifier.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 8

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no resolver link, observed 2026-08-10T17:27:43.085859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.085859Z digest=sha256:33469875bd841824f316f3c0576d9485ff4a6598415673a912b1f9c6feb33c23

Observation b0a9aab9-bf2a-4992-bba8-1c11427c7e97 · outbound

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

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.099255Z digest=sha256:3777fc51c8b6d2c2c0ef45a49c1f3383d9b5091054816237b7b5120940c0449b

Observation ac885839-a2f0-4d99-8772-9944b2d14a39 · outbound

This paper cites Faithful Chain-of-Thought Reasoning.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Faithful Chain-of-Thought Reasoning

Reference 11

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source=pdf_text observed=2026-08-10T17:27:43.105238Z digest=sha256:32c96a0f2a9d13837b36d3f7565d285b41835ab28ca170c3bdc94ace3734fb44

Observation 5903a45b-a5cc-47c7-a9a4-19c0389a40de · outbound

This paper cites Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data

Reference 13

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no resolver link, observed 2026-08-10T17:27:43.116205Z

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source=pdf_text observed=2026-08-10T17:27:43.116205Z digest=sha256:7e3671e306e6215d5192c5f607f23ae0bdaba7a109e93c56d29ad3954588f12a

Observation a82033b2-fe39-40fa-9acd-d2e14830854f · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning LaMDA: Language Models for Dialog Applications

Reference 15

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source=pdf_text observed=2026-08-10T17:27:43.127608Z digest=sha256:7566ea1f2c6fd56ccb9f71d8c70e5e1462df73414e1dc859368f3a4faadd9fde

Observation 5ed11a08-0f50-4e32-ab81-4e57756e1d7e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.133207Z digest=sha256:2ba89efe903f2fad42fec2d00a5447cff1d60e03e888e356923023f634cbce1e

Observation ac49e134-01a9-4f8d-8840-8c81d762854d · outbound

This paper cites Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

Reference 17

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source=pdf_text observed=2026-08-10T17:27:43.139020Z digest=sha256:ca855ebab470b20c770399b7659cebe4193894fb4c075c8ab41e1dc519cf2caa

Observation 79738a5f-8d30-4efd-8291-a70551262d76 · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Large Language Models are Better Reasoners with Self-Verification

Reference 18

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no resolver link, observed 2026-08-10T17:27:43.144154Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.144154Z digest=sha256:d0529f605a478a619583a1324d3823873b036e00e45ef201ff4e6b2d755906dc

Observation e9d42e8e-d83c-41b0-a1a6-3d2e87e03070 · outbound

This paper cites Chain of Thought Prompting Elicits Knowledge Augmentation.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Chain of Thought Prompting Elicits Knowledge Augmentation

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T17:27:43.221735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:27:43.149758Z digest=sha256:bbf6cd8cf46432ec5440a0b40d14a4e756415c2f035a75e26b10f2a2710fdc7a

Observation 0a33482d-699c-43e9-8ee6-443b27c7a27d · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.154714Z digest=sha256:ef5108638a612b3b606dfc44f876ec58fd944357e1fc2a22d9db33d8ef7afc69

Observation e4376ef2-4e84-4791-9390-a82c1dc66217 · outbound

This paper cites Solving General Arithmetic Word Problems.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Solving General Arithmetic Word Problems

Reference 2016

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source=pdf_text observed=2026-08-10T17:27:43.111119Z digest=sha256:431160b9bdbfeeea349a2fc7790860aba76baa79c2d2789bfff053c08533b30e

Observation 08350786-8920-4801-84b3-6668bbd518ea · outbound

This paper cites Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 2017

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.093830Z digest=sha256:24b8c159d0da43edf5bb07be4e53f5a72f27337bbc568ccc46c7eda2f77c7242

Observation 75936bea-6bc9-4eac-bcb8-6d2db095bf6d · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 2018

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.121965Z digest=sha256:f83fc30ed783d3bd32c1e07d65a8d6810f82104fb371eab792e82a7b8ba75453

Observation 42bc51ab-3393-4e17-8dcc-30a5ecde15b2 · outbound

This paper cites Black-box Prompt Learning for Pre-trained Language Models.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Black-box Prompt Learning for Pre-trained Language Models

Reference 2022

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source=pdf_text observed=2026-08-10T17:27:43.045634Z digest=sha256:6eb4b02c53bd95077e2f612d5b8e3598d5729e661d0dd2176ecbf4c3936f9b1f

Observation a04a6053-5c8c-45e2-aaae-ff02a9c4cd3f · outbound

This paper cites Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs

Reference 2023

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source=pdf_text observed=2026-08-10T17:27:43.026845Z digest=sha256:6102eb8fed1097e6e2fbe7e8799212f465ffcd23bf9bb3983b729245eb73f0fb

Observation 043c31e4-1ec9-4f2b-b880-3b7033ab2838 · outbound

This paper cites The Llama 3 Herd of Models.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning The Llama 3 Herd of Models

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.059379Z digest=sha256:9bb10799833e456e8a8425c09c49d8b4629555c098e3bf92cd0f497a91c09d50

Pith citing papers

No inbound Pith citation observations are available.