Paper Citation Record · LEDGER

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2501.01668.

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

pith.paper-citation-record.v1
2501.01668 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:46.703436Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:17:11.892636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:16:50.920862Z

Reference resolution

46 of 46 outbound references displayed

verified exact2
verified fuzzy0
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3218a38-adcc-451c-a18b-64e95358880e · outbound

This paper cites GPT-4 Technical Report.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.480657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde105ec-3fab-4336-9bdb-a7b12467c505 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.486354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efbdc526-5c0b-4a3d-aa88-b998e6110d5b · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.491515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cdaf684-235b-418b-b6d8-5f7d2423d4cc · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Universal Self-Consistency for Large Language Model Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.496057Z

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Unavailable: canonical work link unavailable.

Observation 85c9cd31-e6d5-498d-9041-51fce68d9253 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.501302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dcdb1d3-7c8a-474d-83a7-669635780948 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.506349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153a5016-2864-40aa-95ed-41f48e7c55cc · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Training Verifiers to Solve Math Word Problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.511508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7c43ad-7165-41e7-8733-483b1b46764e · outbound

This paper cites The Llama 3 Herd of Models.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.520445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daaad4de-a8d5-47df-8406-54da910de749 · outbound

This paper cites An Empirical Study of Translation Hypothesis Ensembling with Large Language Models.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis An Empirical Study of Translation Hypothesis Ensembling with Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:26:47.139573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 447c96ac-6108-4432-bf4a-9dfa2455fca5 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.533320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d593ea25-a011-42b8-9e4a-6a23c2f3b5d5 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.538607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2676796d-eaf7-4792-b407-3b8b6c84a08c · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.543487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf1ec5a-f62c-48b5-8028-0cef985de5fc · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.548091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40386902-e541-426e-9a78-c22e8d3252b8 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.552835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ca9be0-ee1b-491c-ab33-3e8c8803fd75 · outbound

This paper cites CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.557670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a13c29e7-735d-4fe3-a800-5e0e9b61814f · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.562733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fc499e-68bf-450f-bead-04f9a17a100d · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis RewardBench: Evaluating Reward Models for Language Modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.567236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c161c32-d818-4361-a582-896e0c7978f5 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.571978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19d4d9ca-8eae-4ef2-81e6-c82999ddb5a1 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.576682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 398f051f-7066-4517-b7eb-ac178b24bcd6 · outbound

This paper cites Decoupled Weight Decay Regularization.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Decoupled Weight Decay Regularization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.580856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3192a5ca-20dc-4aa3-afef-19ba6eae4aa9 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis WebGPT: Browser-assisted question-answering with human feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.585138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40fb37c7-bbd4-4e41-894a-f80976204068 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.589521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d322aee8-f92e-4879-9d2a-2be39bdaae40 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.593679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c0eb61-7904-4aa0-a4ce-05f519b557d4 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.598437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8e4cd7-397d-4970-aee9-486bf230ef4f · outbound

This paper cites Compositional Semantic Parsing on Semi-Structured Tables.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Compositional Semantic Parsing on Semi-Structured Tables

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.602577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd01f2b-a5ec-4583-9bdd-6d64260bd6b5 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.607101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3405bfce-d3d5-4c4f-9f60-6a7e9e24fcf4 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:26:47.287734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb2ff56d-3b00-4d5a-b7bf-0229e9336553 · outbound

This paper cites A Long Way to Go: Investigating Length Correlations in RLHF.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis A Long Way to Go: Investigating Length Correlations in RLHF

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.616014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84648f60-39ee-4086-a612-8a9ead00cba5 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.620298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecb9ca0a-a7fe-4de6-ba3d-f5d562141763 · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.624341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bce2ac7-c49c-414a-b8e0-bb1527294212 · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.628984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c28b2307-a179-4bc3-81b2-f69c12024b7d · outbound

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

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.633763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d078e063-54ce-4f0e-8769-6f34f8563ce9 · outbound

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

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Solving math word problems with process- and outcome-based feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.638811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b6a61f5-8954-4943-a62b-832447e86def · outbound

This paper cites Small Language Models Improve Giants by Rewriting Their Outputs.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Small Language Models Improve Giants by Rewriting Their Outputs

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:26:46.892731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2a667fd-2d63-4450-a3a2-fb078a35d0be · outbound

This paper cites Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.648867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76dd9384-d843-481b-9c36-4ba97b5fbc21 · outbound

This paper cites Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.653799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0724bd-c528-47ad-803e-d12bb701ac11 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.658866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a74d48-cad2-48ae-91ac-6ee4de04d0cd · outbound

This paper cites an unresolved cited work.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.663594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e985f17e-3cae-4c23-a020-d239daa608b1 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.668322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b4e99c-b57f-46e2-a862-5efe46224815 · outbound

This paper cites Qwen2 Technical Report.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Qwen2 Technical Report

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.673511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e735caae-08c7-4dc0-a8e3-0fe3e14a5801 · outbound

This paper cites OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.678285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 860b6c67-1087-476e-b6cd-f5f4d8e47482 · outbound

This paper cites Self-Generated Critiques Boost Reward Modeling for Language Models.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Self-Generated Critiques Boost Reward Modeling for Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.683078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0746fdff-5d34-437d-b35c-ae2fa98875e9 · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.689014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3af67ad-e41f-41f9-848c-da6d1110f42d · outbound

This paper cites TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.693554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3891e8d2-1f36-4775-9da3-c1b50cfa2ebe · outbound

This paper cites online" 'onlinestring :=.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis online" 'onlinestring :=

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.698345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ce8876-2c6d-4102-ba10-d9bdf23c231f · outbound

This paper cites write newline.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis write newline

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.703436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3a311ddc-4393-407b-a334-0c7fa940f2fc · inbound

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs cites this paper.

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:16:50.924055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 993da62f-4753-4d28-a49e-9fd0aa2b35af · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:11.892636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.