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Paper Citation Record · LEDGER

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

As of 16 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 4 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 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:18:10.020320Z

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.480657Z digest=sha256:30afb1b642b09ae67b61217b2cc587434763e1247c207637e83eccca2e902245

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.486354Z digest=sha256:322af85e3547b055235af8afcf36c307ec0ac8a5db97a97d21908ddc98c682ab

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.491515Z digest=sha256:139e20b14d43e6f3a48ca75ff3f563bf4407515ba5ebcad7546f6bf75427928b

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

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source=arxiv_source observed=2026-08-10T22:26:46.496057Z digest=sha256:f181877b75cf223a89938ee5b77dd6f28253c535c52eaa52c01395241ac92f34

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.501302Z digest=sha256:ba77f2761e1416d2ffffe663ba76fc60531efb12363750df22cd31d9fdc5bf70

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.506349Z digest=sha256:71996ed9301fc13803acf5c6bf618f16aec2cbffc414ffa4591288d0b8886eff

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.511508Z digest=sha256:0b4a8947cc796ce738aaa8388e7183a9dd484765081c3a87ea3511c849d788aa

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.520445Z digest=sha256:59bf1e92cb16dcc35d1d5992b6a957c5128466b7d88061f17d7905fd235212e7

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-10T22:26:46.528371Z digest=sha256:c322fd41fe8faa1d39613b475c5c6db94765227f7d01771596e26a9e3211ec9a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.533320Z digest=sha256:72a2ba727462c1410718f49adc1d7490d907020bf09c0cc2565f5ad4d4b58257

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.538607Z digest=sha256:53d4775ad8a9e6576d5d9a743ef3735ac6d359bbe66173e021b88d578a49cedb

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.543487Z digest=sha256:9e111c9c3a655c45af8946cff07a55766c2333f40e5b81ebdc7cacc187336787

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.548091Z digest=sha256:ee2718fe0b1c3e47dd5b65e0a906fdb358cd4049927cf6dc5da38cd696b660bc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.552835Z digest=sha256:d2cd18e884b484f693089ae2b8610a4f00e4fcb7a888f687c3534c4dcf0ca52f

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.557670Z digest=sha256:26e88f8cde05659db1d29ce96781a3b9895101ba7b8d8004c0b566635ee2e259

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.562733Z digest=sha256:a56ba0f181b13deff6055967d05880b2bd8e9ecf11bf714cfaf632e2437c4054

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.567236Z digest=sha256:a32c926ae5a0ec5df739557416acc8ebb60d207ce44045fc6cb23a8c88b212c1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.571978Z digest=sha256:ca767b472f683e1b957a29a5291b473fca4d64be31abcd46b0681e3e1e727e52

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.576682Z digest=sha256:08bd02090abf76a0d94d493afd522badfa183d0c61e3e0316672f0eb34b294be

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.580856Z digest=sha256:81f0a53345648d88eb2eab53f02f47aea30de18c82e19fc5cd6c5aadf0d81ba6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.585138Z digest=sha256:b10c9f880b07e8af59b53462ce905e83768c7d3b48dc9ef44d64aa846835d4f9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.589521Z digest=sha256:ecc936562d09f0677076dbd9aeec8e5af8f5dad5e4243975243e1792a1fd392a

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.593679Z digest=sha256:f1516fbcfda17e7edea3c7432b249e3486f2a82a9a70f4fb75d9a63c154dcfa3

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.598437Z digest=sha256:532ea6c4d50d36983f9432de7330c87df4f807856d940b84f08ed6404a69b94b

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.602577Z digest=sha256:a4ad2120250634555db32f5f4696098f40bc8f99bb488464576ef6afc3309749

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.607101Z digest=sha256:77c63fbb4b650e6001d62f1cd16d14bc4a47627213789f4b9f3df2e75d4e286b

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-10T22:26:46.611934Z digest=sha256:de56773f06c6766c595b1ac51fdbe066e4af8c499af2c16dfa728e21111f9d60

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.616014Z digest=sha256:5cdb705e01e76cd45ef10e152165c88f5a6b9a6df87846dbb059fd5bdba791d2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.620298Z digest=sha256:9562ba210d94387c9f6128507dd3ec33414bcbedf601a51f6843320c3e582624

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.624341Z digest=sha256:25d8d15cfd3cfa2c3c7ae53e2a4dbff17f747379f9c372ac101e0abb6b5439bb

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.628984Z digest=sha256:da5d235c2c36a549755e13fdf38fc2196cfb09c9ec2916fdf765bc71e7373842

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.633763Z digest=sha256:c92fcf4c59ea8f29a10907baa1cf3f7f9291a1a8c86e8c3c0bafbfcf878c45e0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.638811Z digest=sha256:cd96f9dfcf42b4a127432f41da4549515ef0262fbf0b1ed8dabe412f8716b17a

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-10T22:26:46.643570Z digest=sha256:1f9165131151a7a1f8cf4df155b4607aaf1881f6182f7d49e551cff8716a09cb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.648867Z digest=sha256:599613083c7d9dcbcc01d96bdfdaa2c89edc741007b7aa223c4ae21f550e2fb4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.653799Z digest=sha256:b370b077efa191a4062e51ff8b236e1e744b37c2acf2378c6a9df8c4f6fa24e4

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.658866Z digest=sha256:18c9faa98faaff2b89d809cd41929e349a6a4b78dd0607ac05e045b9013e1027

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.663594Z digest=sha256:06c2eee314bb035f928b33c942dabb5fad2c50cc6672324441e768c00c7d9fab

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

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source=arxiv_source observed=2026-08-10T22:26:46.668322Z digest=sha256:68fd4abb18a06d4201822ce115ad17d7cb1ca074e00add330f540075f9938c6d

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

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T22:26:46.673511Z digest=sha256:6b9a6f1fd345221e2e25ad2ba10edef9e1f756279f9133375f2d0d584ca69637

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

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

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source=arxiv_source observed=2026-08-10T22:26:46.678285Z digest=sha256:55122c9dac8d907336903e7cd2b4f45ca972de9b677f8913f947d87bf3f56250

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:26:46.683078Z digest=sha256:8cb5c4ddfbea8406d7aab5cfdd5e6f951ed54b224453d9982e73e89db1b52580

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

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T22:26:46.689014Z digest=sha256:9fd3841d1151b6295d5cb322c480b8f490bb6e0f8089ed47dc75a298f1732128

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

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

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source=arxiv_source observed=2026-08-10T22:26:46.693554Z digest=sha256:cd90f86187c454079e50b0426472eae8c1dbbd8ccafb59cbcc910aef872e1130

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

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T22:26:46.698345Z digest=sha256:78e30d9349be9ac91413b69e107b5e5fcf12e23b805a708e32970887fc50bfa7

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

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source=arxiv_source observed=2026-08-10T22:26:46.703436Z digest=sha256:2fc7ecb24c1be2a702435328048b6be4d842365e2c34a02eea793e482ff18548

Pith citing papers

Observation 12c23b5b-aa18-47dc-a49e-38136c9fb685 · inbound

RAIDEN-R1: Improving Role-awareness of LLMs via GRPO with Verifiable Reward cites this paper.

RAIDEN-R1: Improving Role-awareness of LLMs via GRPO with Verifiable Reward CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

Reference 20

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no resolver link, observed 2026-08-15T21:18:10.020320Z

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source=pdf_text observed=2026-08-15T21:18:10.020320Z digest=sha256:27437dc211be1c03b86b038ce80da89caa6f75bff2b0d61cf9a1fe103e0a2d4f

Observation f1f0bda7-5e68-4f86-a0c2-ad79bb686e11 · inbound

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models cites this paper.

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

Reference 42

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no resolver link, observed 2026-08-15T17:30:10.340136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:30:10.340136Z digest=sha256:4e48ccaf87f4df974c1f9223690b4038aa677ddcba86e9c91bb2136ca6239659

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-18T21:16:15.703057Z digest=sha256:e2b99c112a64b7e3bb6c802fbc3744c6b7d638005ff2222fca63dc1e183d59b5

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

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source=pdf_text observed=2026-08-03T01:17:11.892636Z digest=sha256:3b41966af4101003aebe175c5d8403484f7779318965ab0074214eb4721276fc