Pith. sign in

Paper Citation Record · LEDGER

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

As of 15 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

Typed states for the displayed outbound observations.

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

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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 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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:25.647807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:25.647807Z digest=sha256:2691c22a66ac595bffd578c38a4851d13f669383e8be535d1f7f827f428b48f2

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:25.752216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:25.752216Z digest=sha256:d618e0723b92dda0bbe970bcb7a1267c138f282d38ef6e3684c1522395d94418

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:25.908714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:25.908714Z digest=sha256:e8827cee48d03dbafd188a57cb99c35d04049d9380ae8898ae7fc610accdf4f8

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:26.067077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:26.067077Z digest=sha256:3182c4648dd6011c388a7e4925faba45483d240ec406418daadcfd4861127680

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:26.200637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:26.200637Z digest=sha256:ca38d8161007e931b6ba57aefa20d60f94cc290af8d670e51744ffd6a1f69f21

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:26.382787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:26.382787Z digest=sha256:c568130dd45c1ca2bfe7ab474f5de4a7f4fe6055fe2ef244824cdedb42e011ce

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:26.465600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:26.465600Z digest=sha256:cef532a1a129ae8325dbe322c8af0ae629fd75f65e562ff47cd08d22d67fd645

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:26.587125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:26.587125Z digest=sha256:a456d04d957ea5eb44854382189f98aeca8c7cab6f1cdf2b3553c07f49e2db8c

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:26.729397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:26.729397Z digest=sha256:f7ed1159098ef2884c8eab4362d5675fbcae53db20efbf87496045e32e32678c

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:26.880472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:26.880472Z digest=sha256:e81d930e65bf4c4bc05c76eef9ad1008d9394418f986b068bf25183920b39376

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.015551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.015551Z digest=sha256:2368fccbfeeaadf3cb26ed58674fcc95e7027d9a1c5cf6bd56abf7ef442ec560

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.149572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.149572Z digest=sha256:a6c3a1736838d8646eb27d3ccfb7df3cadf3a46fa7f81775acc80c6700b393df

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.302834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.302834Z digest=sha256:79c14c1c9b06b217b65983085b904047b916971b11d87b257c83553ede29d51f

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.435965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.435965Z digest=sha256:b1e4877c3fff9cd8b8f70662056535d7f95536b03c78f3b6154689fc57f4ee47

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.566357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.566357Z digest=sha256:b2f253d10d348387d6168e675c143b65795738866a758e395ca75e9a67d61a72

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.691501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.691501Z digest=sha256:14d170affd2144c321099482c4fecca4f37c707b1dab3826ef9b74bc7ade730b

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.836005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.836005Z digest=sha256:03653cecc61eb1565f181db787c04a462ef6dcf281c08b8a47afdd3bd206a0d9

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:27.955351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:27.955351Z digest=sha256:638ba70201aff9ef661aef3c1404db74e6842faff55b538fd19e02e8a173470a

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:28.091007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:28.091007Z digest=sha256:12e0cbf6938d334c1f2d21c9a8a83825ee0f451bf709c59e6ed4447c0d35015d

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:28.244266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:28.244266Z digest=sha256:60f69adb59366a640bf640050b6df123661b1b1d5a45ae3c31341e0629a6e7f3

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

This paper cites SIAM Journal on Financial Mathematics , volume=.

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

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:28.399709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:28.399709Z digest=sha256:7cce59d6338f66a80ee11605e783ad2b863e2b421091ce5e2c3c10934db5a0cc

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

This paper cites Journal of Asset Management , volume=.

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

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:28.601772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:28.601772Z digest=sha256:e22fccfbd0a3f19a1ff4ddb0c2eb55520e71c1ce7d30f9984bc0f1c7719daa74

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:28.714405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:28.714405Z digest=sha256:5483a46014f8f58a1cc5c7f635d32569e5e2c99423e6452f48bb9aca3be45402

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:28.879521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:28.879521Z digest=sha256:0e9425bd4edf90c6a5a6df98bd8f3b84440a1704370a28181d80d447542ed3c3

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:28.997592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:28.997592Z digest=sha256:ea9d9f6ce6a0709b25ed61d159b551046413dc7d3c8e34e4ea9bfb4691ac6eed

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:29.171305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:29.171305Z digest=sha256:50b398d5b1c2d085f8e29b69018e187d81de6df4afb7f14ef99060ec5cb89d01

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:29.341052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:29.341052Z digest=sha256:e1b54b2d21686b6cadd1b1ba3db326b654d6bbe0e1eabd1af84b8c9f6b69867f

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:29.539619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:29.539619Z digest=sha256:e2c8371850ca75892f95a72debfbc632e0d388e0bfbc7eaf2520e4b0cf8db4cf

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:29.710711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:29.710711Z digest=sha256:c4c26a799359e93c3560a51ad42bfdefa50841211e7c7b213729f6db482c284f

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:29.857096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:29.857096Z digest=sha256:fe3cfdd85891afc5552cded4f48286547674783b47fea53b1b2866044a55dfff

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:29.955716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:29.955716Z digest=sha256:0a7b8e191fabc2993363371f2f872f2603588d3fdcdd07f09ffc6c4c47b768fb

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

This paper cites The Palgrave handbook of technological finance , pages=.

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

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:30.134228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:30.134228Z digest=sha256:97690af1abf4b10514eabb54dd40acb0075ad0342f4956fc3bf133226c92e02d

Observation d12bf6b9-499a-4b75-914b-3296992d786a · outbound

This paper cites 2019 IEEE Intelligent Vehicles Symposium (IV) , pages=.

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

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:30.253164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:30.253164Z digest=sha256:7c9cdb770247bab40c733fee8a8858d673f5044b130b8a1d69e6dca1df31c46f

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

This paper cites , author=.

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

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:30.367963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:30.367963Z digest=sha256:5704a7c5a1425eb1a0c4805ae425af91e898bb35c13176d8d766cb491d0328a9

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:30.538936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:30.538936Z digest=sha256:f6204f3bba74972d4c0a5abb095afa21ed6d7f62c9739800606cd420902d021a

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

This paper cites 2015 IEEE international conference on robotics and automation (ICRA) , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:30.693750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:30.693750Z digest=sha256:7351cca6f615970fc5a4ec822f350afa0e0a6c6f63d3162c97018998aaf27417

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

This paper cites , author=.

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

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T02:23:30.849710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:23:30.849710Z digest=sha256:a57ae7f3a36e2fbd36aa739bc536751e8198148261a2e766422d86c985ae6343

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=sha256:531399afe171c48fbbb563142d6d34fd90037e7d14c2ee3788134175506b17fc

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:d44f6f0c88ac3bb0c58a3eb5c961cd6cfe7ceea0922f4242cf1171e69e290bfc

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=sha256:178053ef3cca238dcd26d6ea9c977c3b68eaf16b05ef0af1190a45c9355dcce3

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:a4b390d935fc1ff6cebde3028ff68d68f115ff58fc167f333e486cdcdb58fb4b

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=sha256:6fa9916e60a3b54b6e2011d779d96645aecc96ed3147fc74433285404c38cbb8

Pith citing papers

No inbound Pith citation observations are available.