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Paper Citation Record · LEDGER

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.14373.

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

pith.paper-citation-record.v1
2607.14373 v1

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T02:23:31.605202Z

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 6604c794-d3d4-476e-a0e8-b8af1453164b · outbound

This paper cites 2011 , institution=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning 2011 , institution=

Reference 1

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Observation 49d88ed3-bfe5-4c5a-9da5-18b5540a2028 · outbound

This paper cites Insurance: Mathematics and Economics , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Insurance: Mathematics and Economics , volume=

Reference 2

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Observation 6ff73856-820f-4479-82e0-695a21a7cee5 · outbound

This paper cites Finance and Stochastics , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Finance and Stochastics , volume=

Reference 3

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Observation bbe992df-1344-4a81-ab29-2cf9612e5dae · outbound

This paper cites Insurance: Mathematics and Economics , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Insurance: Mathematics and Economics , volume=

Reference 4

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Observation 0c3a0632-4662-4d50-80a6-e359734a204c · outbound

This paper cites ASTIN Bulletin: The Journal of the IAA , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning ASTIN Bulletin: The Journal of the IAA , volume=

Reference 5

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Observation 433eb9c9-3b31-4eea-8221-e5c76bc0bf6e · outbound

This paper cites Finance and stochastics , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Finance and stochastics , volume=

Reference 6

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Observation 2af626fb-9e2e-40a8-9933-5de10a8a4aba · outbound

This paper cites A Risk Sensitive Contract-unified Reinforcement Learning Approach for Option Hedging.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning A Risk Sensitive Contract-unified Reinforcement Learning Approach for Option Hedging

Reference 7

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Observation 572046d3-228d-44c1-b413-7b3bd4895c36 · outbound

This paper cites Statistics & Risk Modeling , year =.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Statistics & Risk Modeling , year =

Reference 8

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Observation df19ff53-c4d4-452c-aa9f-9519d826b06d · outbound

This paper cites The review of financial studies , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning The review of financial studies , volume=

Reference 9

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Observation 83214110-eb6c-4744-868a-c2e7ca173ff9 · outbound

This paper cites The Review of Financial Studies , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning The Review of Financial Studies , volume=

Reference 10

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Observation 90fa1a71-4b7f-406c-8d9a-1718f24e8115 · outbound

This paper cites Stochastic Processes and their Applications , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Stochastic Processes and their Applications , volume=

Reference 11

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Observation 3d561960-26d8-40de-8c9e-f8d477e8b527 · outbound

This paper cites 2016 , publisher=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning 2016 , publisher=

Reference 12

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Observation cae0f441-afe6-434e-8393-10f6c492b7c9 · outbound

This paper cites Quantitative Finance , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Quantitative Finance , volume=

Reference 13

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Observation 9609a5d5-2bb9-4826-a149-15fd77a7ab48 · outbound

This paper cites Mathematical Finance , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Mathematical Finance , volume=

Reference 14

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Observation cf8e7084-3817-4cb4-bd11-a24357f2fe52 · outbound

This paper cites Journal of Machine Learning Research , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Journal of Machine Learning Research , volume=

Reference 15

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Observation b2bb920a-ba19-4b26-be24-976c9dd921d4 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 16

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Observation 4e4d7f19-bfd9-43ae-9545-764ad8e481f3 · outbound

This paper cites Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions

Reference 17

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Observation 66a5e51f-9fd9-411d-935c-731dc791db9b · outbound

This paper cites A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Reference 18

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Observation 7a9fe3e2-549a-4b6a-8038-158be4954b0f · outbound

This paper cites arXiv preprint arXiv:2308.08427 , year=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning arXiv preprint arXiv:2308.08427 , year=

Reference 19

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Observation faac1d24-7ec7-4b56-9f60-3f6c6ecf903e · outbound

This paper cites Mathematics of Operations Research , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Mathematics of Operations Research , volume=

Reference 20

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Observation 08ed88f2-3b4a-42aa-b345-ce2f87b3b00d · outbound

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A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning SIAM Journal on Financial Mathematics , volume=

Reference 21

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Observation e97687d9-b9c9-4612-884c-1a6ba3d1e43e · outbound

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A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Journal of Asset Management , volume=

Reference 22

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Observation 0864b33c-0e58-488d-8ab4-77a7add7f616 · outbound

This paper cites Management Science , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Management Science , volume=

Reference 23

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Observation 8d4dfde8-b262-4930-ae22-0beece71ecb3 · outbound

This paper cites Artificial Intelligence , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Artificial Intelligence , volume=

Reference 24

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Observation f6eb615c-cbbd-4418-8b83-d24d2ba44f71 · outbound

This paper cites International Conference on Machine Learning , pages=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning International Conference on Machine Learning , pages=

Reference 25

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Observation 31826bd5-86bc-459e-b1ea-116e7635bb7e · outbound

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

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 26

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Observation 17d06d88-044d-48a5-b2b8-44245ce63f9d · outbound

This paper cites International Conference on Machine Learning , pages=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning International Conference on Machine Learning , pages=

Reference 27

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Observation 40c34344-5742-4ffb-8cf9-2f4c7e7240fe · outbound

This paper cites Joint European conference on machine learning and knowledge discovery in databases , pages=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Joint European conference on machine learning and knowledge discovery in databases , pages=

Reference 28

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Observation b75f06c2-9667-4b45-b6a4-6a9a22e32dd4 · outbound

This paper cites International Conference on Machine Learning , pages=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning International Conference on Machine Learning , pages=

Reference 29

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Observation d621f8d6-2107-4b94-8cd4-6c61e1dd2b70 · outbound

This paper cites Proximal Policy Optimization Algorithms.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 30

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Observation 05af8db5-7e86-43ff-a3de-7ae76efe4a63 · outbound

This paper cites RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes

Reference 31

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Observation 344ccd0c-9204-4e77-a10f-11ad4cb44064 · outbound

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A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning The Palgrave handbook of technological finance , pages=

Reference 32

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A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning 2019 IEEE Intelligent Vehicles Symposium (IV) , pages=

Reference 33

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Observation 7b1ce08b-c64b-4398-addf-91af3452b351 · outbound

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A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning , author=

Reference 34

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Observation 20324eb1-1832-49f0-b8fe-4ddeab26ec31 · outbound

This paper cites 2020 IEEE Intelligent Vehicles Symposium (IV) , pages=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning 2020 IEEE Intelligent Vehicles Symposium (IV) , pages=

Reference 35

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Observation f16175c6-3640-42d5-b45e-a1318deccfd2 · outbound

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A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning 2015 IEEE international conference on robotics and automation (ICRA) , pages=

Reference 36

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Observation 6a0543c8-d93c-422f-ae18-96ebb95167a5 · outbound

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A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning , author=

Reference 37

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Observation 4184ed61-8b90-4e43-95a9-9feb80eee5ad · outbound

This paper cites Journal of Financial Econometrics , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Journal of Financial Econometrics , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:31.006836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:31.006836Z digest=sha256:208a51ff734af7ed32e38bf2472c42847b8ef32742f51f9278faa9a1f1d3e031

Observation 76fead71-31d5-458e-9407-3063d9e60d86 · outbound

This paper cites Robotics science and systems workshop on inverse optimal control and robotic learning from demonstration , pages=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning Robotics science and systems workshop on inverse optimal control and robotic learning from demonstration , pages=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:31.126213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:31.126213Z digest=sha256:13441bafa982c81312429e53f44778fd522e833141d25a3d1e32ddafccc65c60

Observation fb4a625b-6f67-46c0-b836-36f869e4b134 · outbound

This paper cites 2010 IEEE International Conference on Robotics and Automation , pages=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning 2010 IEEE International Conference on Robotics and Automation , pages=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:31.322934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:31.322934Z digest=sha256:a13ca7905cf8ebdf10230e90e587f07f50ba314e30c24732ec750a8867443330

Observation 9f694961-7144-48e8-b516-455bae1bf010 · outbound

This paper cites INFORMS Journal on Computing , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning INFORMS Journal on Computing , volume=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:31.472003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:31.472003Z digest=sha256:a39c37d1d50953d1f3d40a5adafa049cc441c70ae0ecd517a1605ec5c7e37ddb

Observation 5e3beef8-42dd-457b-acea-8922d6a5270e · outbound

This paper cites INFORMS Journal on Computing , volume=.

A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning INFORMS Journal on Computing , volume=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:31.605202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:31.605202Z digest=sha256:11bc3f81905520cc210c9615fd99d4b0da7516cf8aa23d27bb90a082d01fe5ca

Pith citing papers

No inbound Pith citation observations are available.