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Paper Citation Record · LEDGER

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.00019.

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

pith.paper-citation-record.v1
2608.00019 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:03:07.419209Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

42 of 42 outbound references displayed

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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 81f7cd68-8a84-4301-84e0-8b1af0d824a7 · outbound

This paper cites 2025 , note =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models 2025 , note =

Reference 1

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Observation 374ab2d4-6afb-4984-b40d-f55f02e43d87 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , series =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 41st International Conference on Machine Learning , series =

Reference 2

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Observation a0a992c2-7f02-44df-8dea-cc82f0a001c5 · outbound

This paper cites 2021 , eprint=.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models 2021 , eprint=

Reference 3

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Observation 20058c87-7d01-46f0-9e05-431092dd17e2 · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models 2026 , note =

Reference 4

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Observation e6ed6eb3-45c0-4359-bef9-62970078c526 · outbound

This paper cites Proceedings of the 12th International Conference on Learning Representations , year =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 12th International Conference on Learning Representations , year =

Reference 5

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Observation b6e9554d-64a0-4d8e-9f55-b4006ac06a74 · outbound

This paper cites Proceedings of the 40th AAAI Conference on Artificial Intelligence , year =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 40th AAAI Conference on Artificial Intelligence , year =

Reference 6

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Observation c9a694de-419f-48d8-98ef-6427b319cca4 · outbound

This paper cites Nature , volume=.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Nature , volume=

Reference 7

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Observation 3dc645ee-4493-4a1c-8a22-8abf2f077cf8 · outbound

This paper cites Gordy and Sandeep Juneja , Journal =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Gordy and Sandeep Juneja , Journal =

Reference 8

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Observation 794cf3df-75e3-4f1f-acf5-f769ee3e459f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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Observation b3bf82f2-d3ee-4f3c-a1b1-f3c955eee844 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 10

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Observation 7ea04d7a-33a9-4ee5-bb21-254e41b411df · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 11

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Observation 592b889b-6529-4670-88cb-2dd464f97a87 · outbound

This paper cites LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 12

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Observation b91ebfbe-d893-47f5-adf4-13b43c296649 · outbound

This paper cites Operations Research , year=.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Operations Research , year=

Reference 13

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Observation 1446d74a-6ecf-45d0-b960-ecbe2c64eb34 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Transactions of the Association for Computational Linguistics , volume =

Reference 14

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Observation 24562757-ea9b-4977-8c9c-548316dde6df · outbound

This paper cites Proceedings of the 13th International Conference on Learning Representations (ICLR) , year=.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 13th International Conference on Learning Representations (ICLR) , year=

Reference 15

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Unresolved cited work

Reference 16

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Observation 59af9f2a-a51a-484b-b923-9279ba86accf · outbound

This paper cites Proceedings of the 12th International Conference on Learning Representations , year =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 12th International Conference on Learning Representations , year =

Reference 17

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Observation c25dba9a-ab02-4d06-b0cd-04f88adb0d94 · outbound

This paper cites Smith and Yejin Choi , title =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Smith and Yejin Choi , title =

Reference 18

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Observation bc2ca932-c3c0-4100-9314-02e0b4e2c2d7 · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models 2022 , note =

Reference 19

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Observation 56c9750c-5b9d-48fc-b747-27ae6a89b9c3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Advances in Neural Information Processing Systems , volume =

Reference 20

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Observation bed1c8ee-79d6-4e33-ae8c-32623e3ea50d · outbound

This paper cites Reasoning with Sampling: Your Base Model is Smarter Than You Think.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Reasoning with Sampling: Your Base Model is Smarter Than You Think

Reference 21

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Observation 7cf01b11-1908-460a-9cce-00af857e1c03 · outbound

This paper cites Proceedings of the 11th International Conference on Learning Representations , year =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 11th International Conference on Learning Representations , year =

Reference 22

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Observation 07c193ef-d045-4483-ac5d-0bbc9603a719 · outbound

This paper cites Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs

Reference 23

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This paper cites Yu and Rindranirina Ramamonjison and Giuseppe Carenini and Zirui Zhou and Yong Zhang , title =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Yu and Rindranirina Ramamonjison and Giuseppe Carenini and Zirui Zhou and Yong Zhang , title =

Reference 24

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Observation 813b10f7-e1ae-4768-8f6b-ff39f4ed1cfb · outbound

This paper cites Jaakkola and Regina Barzilay , title =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Jaakkola and Regina Barzilay , title =

Reference 25

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Observation 73bb8d01-8b1c-4467-98f1-1c6d64a662c3 · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Advances in neural information processing systems , volume=

Reference 26

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track , pages=

Reference 27

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Observation 21890cec-d441-478a-84cc-23a45bdabb61 · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models NeurIPS 2022 competition track , pages=

Reference 28

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Observation 66b24e57-486c-443f-a922-b8654f6369e8 · outbound

This paper cites Spurious Rewards: Rethinking Training Signals in RLVR.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Spurious Rewards: Rethinking Training Signals in RLVR

Reference 29

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Observation 12216bed-a846-43ca-be4f-bcea561185ef · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models International conference on machine learning , pages=

Reference 30

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =

Reference 31

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Observation f8fbf4f4-2f33-47b5-a73e-77703db65c04 · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 11th International Conference on Learning Representations , year =

Reference 32

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models 2025 , eprint=

Reference 33

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Observation 6f8af2e4-733a-4ce2-b353-e1453ecedfd7 · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models 2025 , note =

Reference 34

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Observation 57cb7ae4-e6b9-4b1b-bdc4-76ccba8c7c9b · outbound

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Reference 35

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Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 12th International Conference on Learning Representations , year =

Reference 36

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Observation 0bbef2a7-a996-4aae-8ea2-0ebffb7492e8 · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics , year =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics , year =

Reference 37

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source=arxiv_source observed=2026-08-04T02:03:06.773787Z digest=sha256:49342c3613ac1fe8e1abbcc68eed20c12c9b12a21291f63cce51cda254f1a112

Observation afa62ad4-3ee9-44f0-84c9-8ea21c26c2f6 · outbound

This paper cites OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling

Reference 38

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unresolved
no resolver link, observed 2026-08-04T02:03:06.898647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.898647Z digest=sha256:929d4ebe4e48f388181881fd9f3ee64ce9b188f107645be964432221a0b68746

Observation 24f5a27c-d5b0-4fc3-9002-cec57ec4d3bb · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 39

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unresolved
no resolver link, observed 2026-08-04T02:03:07.019230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:07.019230Z digest=sha256:6fc6867401f76e7392c616756e14edd6cc03e77b559eb7c692b6dbe4ec1258df

Observation 3550c6ef-0f01-436b-8c7d-bbda9a01f659 · outbound

This paper cites Bootstrap-based budget allocation for nested simulation , Volume =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Bootstrap-based budget allocation for nested simulation , Volume =

Reference 40

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no resolver link, observed 2026-08-04T02:03:07.172118Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T02:03:07.172118Z digest=sha256:7051ac6da6cdb876eac2899b17bd229b6de92d9657d9f52466477543ca8c8ab5

Observation 0c34905e-353d-4c4f-a26a-9c6b71baa77d · outbound

This paper cites 2024 , note =.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models 2024 , note =

Reference 41

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unresolved
no resolver link, observed 2026-08-04T02:03:07.251424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:07.251424Z digest=sha256:e3929f5437c5c4fa5c09289fac1f99a2dcd2a41efbb25159d8549ba583c64263

Observation aea06480-96a1-41d4-874b-ae639dc709ce · outbound

This paper cites Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo.

Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:07.419209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:07.419209Z digest=sha256:002da80f296c4191cec654a0dd0ef08d05825247f3264d24ecfd8ab353a9080d

Pith citing papers

No inbound Pith citation observations are available.