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Paper Citation Record · LEDGER

InfoSynth: Information-Guided Benchmark Synthesis for LLMs

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2601.00575.

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

pith.paper-citation-record.v1
2601.00575 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:06:59.375076Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T20:02:33.346701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:15:50.902427Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3de058c-7aba-4794-8363-d8684974b1da · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 2

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source=pdf_text observed=2026-08-03T13:06:55.851757Z digest=sha256:4b68452b495bf1abc447e059b87c423a86ffe9fa8a932c483ef2693f373a3783

Observation bffcf012-bfdc-4ad3-a0db-5799ec02c6ba · outbound

This paper cites Program Synthesis with Large Language Models.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Program Synthesis with Large Language Models

Reference 3

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source=pdf_text observed=2026-08-03T13:06:55.931537Z digest=sha256:45eda24b7499f2cdd2a7b1210df14de59c0c57ae8904c7ac0e84811459ab1b53

Observation 6e3cd75c-b47b-44ea-9e37-106507f75ebe · outbound

This paper cites Evaluating Large Language Models Trained on Code.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Evaluating Large Language Models Trained on Code

Reference 4

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source=pdf_text observed=2026-08-03T13:06:55.990460Z digest=sha256:8345a7ed9ade471bc55b2895a55cd61424edd901d73d641354686d9b30792446

Observation 7c85c229-fcb5-4a33-9dae-16d0bacd200c · outbound

This paper cites Learning Code Preference via Synthetic Evolution.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Learning Code Preference via Synthetic Evolution

Reference 6

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source=pdf_text observed=2026-08-03T13:06:56.241435Z digest=sha256:1b76434f409b9de468ec75b873081545ed501461a53780d973fe62206f3b8e39

Observation d4be606b-721e-4d4b-89e0-b12cab9a134a · outbound

This paper cites Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models

Reference 7

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source=pdf_text observed=2026-08-03T13:06:56.330378Z digest=sha256:9a6853554742dc4872925930223c45660b00da0c0eb372a6b4440b5033985f55

Observation d12fa573-64ec-49d5-b639-c804378e878d · outbound

This paper cites CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom

Reference 8

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source=pdf_text observed=2026-08-03T13:06:56.391359Z digest=sha256:ffa643d47bf3f6f3bc9c07f6de45ff7a463ddc753f92a05db3f8f3d0b9c585c4

Observation 05ed4e35-2f7e-45cf-887d-99c26bddc183 · outbound

This paper cites Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch

Reference 9

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source=pdf_text observed=2026-08-03T13:06:56.449752Z digest=sha256:8048412c8610131543170be1569d5099fa644b0787d24f642e536a837333d2e8

Observation bf591bfb-47c0-48cf-9a55-9b0d8c4e6d32 · outbound

This paper cites MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations

Reference 10

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source=pdf_text observed=2026-08-03T13:06:56.522253Z digest=sha256:af470b94a08ffbe3ab5a5a4904981fada9dd0ace5ef7f9a29b9dd9ae1c6b2970

Observation 9ae1a502-7f26-4476-a943-dbeec43be201 · outbound

This paper cites Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models

Reference 12

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source=pdf_text observed=2026-08-03T13:06:56.632597Z digest=sha256:adc0004870d55df2820b1b6493d99d2abc211198155303d05d86a5301e66ee6b

Observation 3029555b-e8df-42a5-819c-a8b989a4c571 · outbound

This paper cites Investigating data contamination in modern benchmarks for large language models.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Investigating data contamination in modern benchmarks for large language models

Reference 13

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source=pdf_text observed=2026-08-03T13:06:56.715562Z digest=sha256:eb28b976e6dbc82ce30c94dc390d5bb87cba7cb38cb2dff3f53d3dad281b3ae0

Observation c7af6975-7705-48c2-9735-dff15f3655f1 · outbound

This paper cites A careful examination of large language model performance on grade school arithmetic.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs A careful examination of large language model performance on grade school arithmetic

Reference 14

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source=pdf_text observed=2026-08-03T13:06:56.785264Z digest=sha256:c2bc518b1df466a9539cf1bbe4e424ad8fb8dc794ba9aca2554bfd80a8509cc2

Observation c8b5ff6b-e1f5-4504-95b4-b062c23ff360 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 15

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source=pdf_text observed=2026-08-03T13:06:56.887852Z digest=sha256:6630cc40256522cf1fc9441a6de2461180806d21914ebadce1c461849cd7ae96

Observation c7ec2056-2643-4991-b361-8d3da8feb0b3 · outbound

This paper cites PromptCoT: Synthesizing Olympiad- level Problems for Mathematical Reasoning in Large Language Models.ArXiv preprint, abs/2503.02324, 2025.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs PromptCoT: Synthesizing Olympiad- level Problems for Mathematical Reasoning in Large Language Models.ArXiv preprint, abs/2503.02324, 2025

Reference 16

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source=pdf_text observed=2026-08-03T13:06:56.971044Z digest=sha256:edd4234c23205eb668c1bc6480f691dfd36de461a951abf7049aacfa4a3c8307

Observation 8c29a0e5-864a-4fcd-90c9-5ea59198309c · outbound

This paper cites Wizardlm: Empowering large pre-trained language models to follow complex instructions.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Wizardlm: Empowering large pre-trained language models to follow complex instructions

Reference 17

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source=pdf_text observed=2026-08-03T13:06:57.081439Z digest=sha256:2f9a9f647994421d7392e5acd15af40925ef0774b35a8eb85939183ff701a8c3

Observation 8bbdfa41-e06b-4a2d-bfaf-9a5b9630502a · outbound

This paper cites KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 18

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source=pdf_text observed=2026-08-03T13:06:57.148919Z digest=sha256:77d60573497029f7ac8055f0ec8b7e992ddf0d0477f03d7845304b8e77157361

Observation 92d7c7ee-9db1-488a-b51e-8352c5292a96 · outbound

This paper cites DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

Reference 19

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source=pdf_text observed=2026-08-03T13:06:57.228768Z digest=sha256:91746e04a000e07d3e23dc806f0ec1b6060d9637092761d7db1231cc7faf759f

Observation b94c0dae-105f-471e-bd15-ed0e24365f63 · outbound

This paper cites RLTF: Reinforcement Learning from Unit Test Feedback.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs RLTF: Reinforcement Learning from Unit Test Feedback

Reference 20

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source=pdf_text observed=2026-08-03T13:06:57.310399Z digest=sha256:5d7a0221d41978c9e41695916ca6c774b9764c923167837f4994120a547b69d0

Observation 43bd36ff-4467-4018-81aa-7d322da81368 · outbound

This paper cites Codet: Code generation with generated tests.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Codet: Code generation with generated tests

Reference 21

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source=pdf_text observed=2026-08-03T13:06:57.411327Z digest=sha256:70f96107968265f3a108b81ed80b421b49b79141b621ef66637143abb604af29

Observation a0fb976f-3e71-4e52-b8a6-b6a78b2ac132 · outbound

This paper cites ACECODER: Acing Coder RL via Automated Test-Case Synthesis.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs ACECODER: Acing Coder RL via Automated Test-Case Synthesis

Reference 22

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source=pdf_text observed=2026-08-03T13:06:57.644309Z digest=sha256:2e69c27c88a6331cf3386a4551cfc90d76d6f0941a85211dc4ad1363094e0d71

Observation c05cfc81-840e-41f6-86c8-b2843ddabd5c · outbound

This paper cites AutoBencher: Towards Declarative Benchmark Construction.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs AutoBencher: Towards Declarative Benchmark Construction

Reference 23

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source=pdf_text observed=2026-08-03T13:06:57.777782Z digest=sha256:60aaa314bbdab15831508b39f203c484afee02aabbe01eaab1d9b48837d704cc

Observation 123ed1fc-0488-4c1a-8f4c-b83a1ad1cf3b · outbound

This paper cites Reliable and Efficient Amortized Model-based Evaluation.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Reliable and Efficient Amortized Model-based Evaluation

Reference 24

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source=pdf_text observed=2026-08-03T13:06:57.856178Z digest=sha256:0221b392c2ee76f1d802d8b75c22208a7051911456acf97a501bb450d8e9d736

Observation fdeccba1-bbef-4460-98ff-3f94968f426b · outbound

This paper cites Agentsynth: Scalable task generation for generalist computer-use agents.arXiv preprint arXiv:2506.14205, 2025.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Agentsynth: Scalable task generation for generalist computer-use agents.arXiv preprint arXiv:2506.14205, 2025

Reference 25

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source=pdf_text observed=2026-08-03T13:06:57.906527Z digest=sha256:5b55deee3bb949d287fe14bcb8ebd38772094ef91ee66fdf629053964b2986f6

Observation abf59272-dfc7-4663-a980-298e06bce364 · outbound

This paper cites TaskE- val: Assessing Difficulty of Code Generation Tasks for Large Language Models.ArXiv preprint, abs/2407.21227, 2024.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs TaskE- val: Assessing Difficulty of Code Generation Tasks for Large Language Models.ArXiv preprint, abs/2407.21227, 2024

Reference 26

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source=pdf_text observed=2026-08-03T13:06:57.954155Z digest=sha256:a71e38b13a063cf563305ce58801d203c02c32f5bb9ad5064a82c0a4fcdda834

Observation 024a8bd0-43ef-4564-a37a-40ef30ca35f8 · outbound

This paper cites Proximal Policy Optimization Algorithms.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Proximal Policy Optimization Algorithms

Reference 27

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source=pdf_text observed=2026-08-03T13:06:57.994680Z digest=sha256:7b3ed54597cc573a84bc76916ed658bf8d8ee10fabd87af19e78b5a68986a894

Observation 1383ffe7-6984-470b-9f3b-f3be67f45976 · outbound

This paper cites Auto-Encoding Variational Bayes.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Auto-Encoding Variational Bayes

Reference 28

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source=pdf_text observed=2026-08-03T13:06:58.157615Z digest=sha256:7fcbabd98b65fbb068808fa87e3d9c719f2ad04682fc9bc130eb14fac2e0ad2e

Observation d171bd11-90d0-4cc3-ae25-5628caeaa069 · outbound

This paper cites Kulkarni, and Sergio Verd ´u.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Kulkarni, and Sergio Verd ´u

Reference 29

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source=pdf_text observed=2026-08-03T13:06:58.234612Z digest=sha256:d143ad8dc75e1ac1dc9154f99bd3147ea5d6dcb65f025d96c6054d28984d29b1

Observation 9b5f036f-6a77-43e8-b0b7-f0f04d8a24fe · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Mpnet: Masked and permuted pre-training for language understanding

Reference 30

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source=pdf_text observed=2026-08-03T13:06:58.342371Z digest=sha256:059cf345c329db0342e94da222f685724b19ea3161d704b09cee7e5f5d46c924

Observation 21e0e937-5a03-49d2-b033-bf43f092c417 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection.J.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs UMAP: Uniform Manifold Approximation and Projection.J

Reference 31

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source=pdf_text observed=2026-08-03T13:06:58.516361Z digest=sha256:7a6bec5f6642bcad36584b862e09cbdacc8df1a3bbaacf0d4b906a382955c0b7

Observation a3cd2884-39e6-4a8c-83a7-56a79fb737b1 · outbound

This paper cites leetcode-problem-set.https://huggingface.co/datasets/kaysss/ leetcode-problem-set, 2025.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs leetcode-problem-set.https://huggingface.co/datasets/kaysss/ leetcode-problem-set, 2025

Reference 32

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source=pdf_text observed=2026-08-03T13:06:58.616219Z digest=sha256:f8f90bfd7c3418aa86da55f7123c84a6f5497fc2e59c633b059c438b6d085bdd

Observation 724e547d-0f80-4af4-90ff-51fda4f5713b · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Measuring Coding Challenge Competence With APPS

Reference 33

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source=pdf_text observed=2026-08-03T13:06:58.708260Z digest=sha256:e23c1f9c0a6c8c363a73d6b4e34acc50e780dac5d7c1e39d0532c78ac86fde9f

Observation 84ceb433-499b-4bdc-b138-dab9f9506927 · outbound

This paper cites Codeforces Problems Dataset.https://huggingface.co/datasets/open-r1/ codeforces, 2024.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Codeforces Problems Dataset.https://huggingface.co/datasets/open-r1/ codeforces, 2024

Reference 34

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source=pdf_text observed=2026-08-03T13:06:58.778454Z digest=sha256:c9edaec1fb6433711a9c29d039934313896f83daf9291fb55563414ecb9ee5a4

Observation 9a6f66b5-297e-45b4-bbfc-d13b631313ec · outbound

This paper cites Estimating mutual information.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Estimating mutual information

Reference 35

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source=pdf_text observed=2026-08-03T13:06:58.878286Z digest=sha256:dc4acc0ff23e46ad5f139e5f7bb98cc36f33d34a540838bc2549299b8ad9ddd8

Observation 2d5fba77-c506-498a-9dea-3eee727b60df · outbound

This paper cites Chi, Quoc V.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Chi, Quoc V

Reference 36

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source=pdf_text observed=2026-08-03T13:06:58.965242Z digest=sha256:950da2d94ce26a67890f900083738b8ae8dc6292aac28ed3fd0b8ca8c758b0c8

Observation 9c4ed60e-8a87-4571-bc77-66482d40e6f7 · outbound

This paper cites GPT-4o System Card.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs GPT-4o System Card

Reference 37

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source=pdf_text observed=2026-08-03T13:06:59.062298Z digest=sha256:3a95e1be20b928ffe6570d719289ad6505d182b692db6ee71d283fcc65a19d21

Observation 9b42878a-468e-41b8-96ca-7a3cfc5e8e58 · outbound

This paper cites LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 38

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source=pdf_text observed=2026-08-03T13:06:59.145164Z digest=sha256:cca5ed198540a12502e5527cefbf7a099924e91772e3de1491b035d05b3e8765

Observation 35a58ca6-e98b-46ad-a93c-38a70007ad1b · outbound

This paper cites mutation.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs mutation

Reference 39

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doi, observed 2026-08-03T13:08:44.174150Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-03T13:06:59.245595Z digest=sha256:be195a745b8c2db7987a9c53215b5eaeff05140ad9d76e3134850b1da92e81ee

Observation 55ab3509-0acc-47ee-b460-0bac56f41aae · outbound

This paper cites an unresolved cited work.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-03T13:06:59.303512Z digest=sha256:17f689921a05d7dc434090346bc524e33306a99445453b09157707ade78b80ac

Observation df3c06f3-6d0b-4b2f-86dc-e979b37ad0e4 · outbound

This paper cites "" Returns the second shortest string containing all vowels, sorted alphabetically.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs "" Returns the second shortest string containing all vowels, sorted alphabetically

Reference 46

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Observation 6e740ced-43f7-4aec-b577-2d1bbd375d31 · outbound

This paper cites URLhttps://doi.org/10.1109/TIT.2009.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs URLhttps://doi.org/10.1109/TIT.2009

Reference 2009

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no resolver link, observed 2026-08-03T13:06:58.302413Z

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Observation b4efbeb3-5fb2-41a3-8528-9c6219c171b7 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Training Verifiers to Solve Math Word Problems

Reference 2021

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no resolver link, observed 2026-08-03T13:06:56.139632Z

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Observation 96ffab30-1cc8-4b8e-b853-43c6cee55eaf · outbound

This paper cites an unresolved cited work.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs Unresolved cited work

Reference 2023

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Observation cc549862-298c-4629-99d0-afa80309e6df · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 2024

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unresolved
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Observation f9a1a96b-adc0-49d9-bd59-15713e5e601e · outbound

This paper cites URLhttps://openreview.net/forum?id=ymt4crbbXh.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs URLhttps://openreview.net/forum?id=ymt4crbbXh

Reference 2025

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Pith citing papers

Observation b36d83cd-1e5c-4604-8f3d-091e50357979 · inbound

FLARE: Agentic Coverage-Guided Fuzzing for LLM-Based Multi-Agent Systems cites this paper.

FLARE: Agentic Coverage-Guided Fuzzing for LLM-Based Multi-Agent Systems InfoSynth: Information-Guided Benchmark Synthesis for LLMs

Reference 10

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verified exact
arxiv_id, observed 2026-05-27T02:05:09.831408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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