Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

  • verified exact0
  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:02.470520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:02.470520Z digest=sha256:e8cd191870a3b16888c0be8af4a607da715e14bc00cf31a494bc183ae7557a9f

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:02.559230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:02.559230Z digest=sha256:ad4c8f612c4c1e3ed221ccb01d20349b575d4a7353758501a005f3ea6a006f7a

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:02.749964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:02.749964Z digest=sha256:65b01c4820f6497db20937264ad301590e6aedd21f61fd8239b6f813a4d9237a

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

This paper cites 2026 , note =.

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

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:02.830418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:02.830418Z digest=sha256:22c038acecacf40faec1b16ad1fed791d263c981358e042b655082a00e66aaec

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:02.922890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:02.922890Z digest=sha256:19888d983945a83b49cefe862dae4f2c27e1c8703cbafb88607712bf1d02445f

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:02.997211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:02.997211Z digest=sha256:2d116e186f9d5b56f3bdebbc76279a8eb8498129a59694a925f3fac97bfdb8c9

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.104218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.104218Z digest=sha256:9526e0310c639bd78ae6f82d2e83bcb6b634da9480663341dce8f2b10f39888a

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.191762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.191762Z digest=sha256:0b02b86dfbac7385f96717e12c0ff971895f2627f61e46dd6425df652ee340b1

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.223958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.223958Z digest=sha256:7ee1f69837113cf3f5904e224112bfd98a34a86d8ac95a9b3a439990dddd494a

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.308831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.308831Z digest=sha256:e7612bd836abd69acebf9af63ec9c955d70d81cbf46305ca32b1960b2ef0a953

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.408209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.408209Z digest=sha256:b2627fae43650c8232379001f299fced9d8e8f16379e08b82969fcf630bb8bcf

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.489029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.489029Z digest=sha256:1cc8bab110a42e057dcd7f0722606fef68503e7ff2c6f370edfd97f81449f655

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.548703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.548703Z digest=sha256:b9ddc03d4ea61d328481b66df75d6761ff9bc85be188fe9e689a805c78cda7b4

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.620720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.620720Z digest=sha256:ce5e866b4bfea442dc2195fbe9b25804dfc941cae2b008506bb8e2c20d798a57

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.775404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.775404Z digest=sha256:9ec404567a188dbb78ab9984ed08cba7bbac69ab301085ca59e5034af0fda5dc

Observation dff5e115-112f-426e-bfe1-9e6f851660d2 · outbound

This paper cites an unresolved cited work.

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

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:03.937254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:03.937254Z digest=sha256:690002ab1bf6b7e282c875cea7753d20066569d7fdf592b073f9665afd52e4ee

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.001130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.001130Z digest=sha256:c95465e58b9ee336f9a178a6d8cf56409d6b4eb8f2c30343f9c6036bd8b4db9f

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.117305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.117305Z digest=sha256:c8df45d74cd3f10443729d1543174ea1df3469c40a503745ce609b6293129eaa

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

This paper cites 2022 , note =.

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

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.271440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.271440Z digest=sha256:c5ffed304e404ba9328871a2d4dfb78815fdf6972d3125770c1ea9698bfbd240

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.378536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.378536Z digest=sha256:1b0c5f16ce9ffd2539c4dfdefbacad3c24c003ef07aeac3f87eabf61128f595a

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.455125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.455125Z digest=sha256:fa13179d6cb0a984bc4e1eda0265dbaf4d9dfae7f4b3605eb159f2b1a2b5c0a2

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.545234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.545234Z digest=sha256:66aad8fb884942e83c9feb431051f1c479fd0656f7c65da97607bec284e7df9b

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.685115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.685115Z digest=sha256:698ebfe1c339cdcb21b3bdd51f3fa59226386b094769cf7aa82c6b505b06552f

Observation aa67c262-8c83-4e6d-bde9-74546330818a · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:04.800352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:04.800352Z digest=sha256:cf96d5fbf12a3abdca050bb16a29e5a431fee8b55d625378cbe9c410c781c9e3

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:05.003857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:05.003857Z digest=sha256:487ad9c52f1dfba4fbd92e71182b2cc55a2d4634fd177017b6ebaac47b4dbfd7

Observation 73bb8d01-8b1c-4467-98f1-1c6d64a662c3 · 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 26

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:05.173611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:05.173611Z digest=sha256:9d6684192884c478102806104e0fcba0298af074e0d7657acc5feb4e5f10f08b

Observation 6e166f66-a519-4a53-86f3-4cd3f731fe23 · outbound

This paper cites Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:05.358976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:05.358976Z digest=sha256:ca0eb358e677a45766d0886378840089c4348c155a3dd6693198231122b204c3

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

This paper cites NeurIPS 2022 competition track , pages=.

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

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:05.482368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:05.482368Z digest=sha256:4e9c20f1a25b5ceee3129f9029251411b3ab1b63ebbdd2ade5afbb4eb07918e4

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:05.632468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:05.632468Z digest=sha256:9fccd799573de271b45f47a7276b44c5a6c30126d609471559dc16375be7a587

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

This paper cites International conference on machine learning , pages=.

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

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:05.813698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:05.813698Z digest=sha256:23a24d67d5f2bf9b8b38e79ac284e6e63ad14868307e5748543eb2c37566496a

Observation 5ca711c7-95fb-473e-a7e9-c82f481bbecb · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:05.948101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:05.948101Z digest=sha256:b460b8d4f8782e33c9e65cbb74ae3595041d6f087200f7fd7630650a30e7682d

Observation f8fbf4f4-2f33-47b5-a73e-77703db65c04 · 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 32

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:06.082207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.082207Z digest=sha256:6d7ac8f8055f54e50da883bb2ad4d81839737808063c1cfe877ddcacde3abd63

Observation 09803a88-98c1-45ce-a3b3-f2c658b3f5b1 · outbound

This paper cites 2025 , eprint=.

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

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:06.186284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.186284Z digest=sha256:5670462a964b318e4a73cf5b2da59614dea4ef5a797b496ed833bece88f81608

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

This paper cites 2025 , note =.

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

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:06.296837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.296837Z digest=sha256:b550bf3f2e132ab83f4bca71a7b79423e0b7c536a7268c8328efcf7d15bd9c07

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

This paper cites Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:06.482231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.482231Z digest=sha256:bd758513cdd19cd262a5a61c693aecd4022c06579f307788b57708fa87474fa8

Observation 71933930-62ac-4cf9-8ae2-db2ef115604b · 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 36

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:06.611774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.611774Z digest=sha256:995f815c4f6b7c13ff30744fa149aa6a590d9e10ea0cc11db3aede7df3e52c84

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

Resolution
unresolved
no resolver link, observed 2026-08-04T02:03:06.773787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:06.773787Z digest=sha256:f27b49067686d926183b2faa586cee72cdb4fa73bd980251efa4a584a3a54450

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

Resolution
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:ab0e3fe79514e33edb86cdec7448279cad8049ec638edcee94b6e0b2cfd016cf

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

Resolution
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:eb89fa1094ddf4f03fc387cf42cf93c6bb34886fc02e58058fb3f1f81036a640

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:03:07.172118Z digest=sha256:0e27e26941a4e47ee54fe0237e9e4d6cb4dc7ffd208d253538d63d453f632b4e

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

Resolution
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=sha256:743c39c11e735e14b12e11564dc724c439be078b8d6edb97674f27498bfcc9c8

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=sha256:7445511ad94c172395b909bf9956aa72ace8c50af203f51d638a947a6fb05cf2

Pith citing papers

No inbound Pith citation observations are available.