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Paper Citation Record · LEDGER

Decoupling Corruption and Horizon in Robust Contextual Pricing

As of 9 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2607.11210.

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

pith.paper-citation-record.v1
2607.11210 v1

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:16:13.601515Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

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.

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

92 of 92 outbound references displayed

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  • unresolved90
  • parse uncertain2
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ae3f82a-d804-4ee8-ac8a-20b116bda699 · outbound

This paper cites Theoretical Computer Science , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Theoretical Computer Science , volume=

Reference 1

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:c0b3f63e530c4b597c2a9606653fa230512fd1154afaacc55262dad20923dc11

Observation 97af5d60-a629-4099-851d-3b36c19ba0c6 · outbound

This paper cites Introduction to Online Convex Optimization.

Decoupling Corruption and Horizon in Robust Contextual Pricing Introduction to Online Convex Optimization

Reference 2

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:e7b113387b472d43c89c5ba4da8caf02d6c5f81f2ef454fcdbc5f5d710c7047b

Observation 0d0270fb-eabf-429b-88bd-a46da5b63c72 · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

Decoupling Corruption and Horizon in Robust Contextual Pricing Online Learning: A Modern Introduction Using Convex Optimization

Reference 3

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:a6f3625c0c77a8a447e83fae464149bcb02ec5c441004ab285eb522afb9657c1

Observation 807d9158-cbca-4c65-9d44-0b48723a298f · outbound

This paper cites Learning Adversarial.

Decoupling Corruption and Horizon in Robust Contextual Pricing Learning Adversarial

Reference 4

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:d897c95804209ea91f57c1272c034a2093c2ecfdb7c020afac0e226f15ba24b3

Observation fcee2272-da50-40fd-b306-f7b158b22b5f · outbound

This paper cites Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function , url =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function , url =

Reference 5

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:5f16582d52707cac89353c28d1685e81d1db09950332b8a2b96e510da618924a

Observation e5e4eb81-0050-47b4-8125-461b150e3eae · outbound

This paper cites , biburl =.

Decoupling Corruption and Horizon in Robust Contextual Pricing , biburl =

Reference 6

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:33403e1cdbf41ad5780b68d86e1b0def18eb31d6018e5902f5401c09f46056cd

Observation ec0872a2-1da9-43a0-bf39-7b8aa1de3a6e · outbound

This paper cites Online Convex Optimization in Adversarial.

Decoupling Corruption and Horizon in Robust Contextual Pricing Online Convex Optimization in Adversarial

Reference 7

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:e096f2cbd78503c04416ff98af49f0c76638b585566ec3576e571218bf0bcc8e

Observation c2b24a88-4883-41df-87f1-87530b7dc9ee · outbound

This paper cites Near-optimal Regret Bounds for Reinforcement Learning , url =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Near-optimal Regret Bounds for Reinforcement Learning , url =

Reference 8

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:d52353ca623d778e6e0fc09800ef316e28b54744d21c87dc34126329195fbf73

Observation a714f422-d0c8-4c5c-9769-eaa3cd8f61ea · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing International Conference on Machine Learning , pages=

Reference 9

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:fa9d6d70e78316377eec1f148fdfb2c6e468bac02e399fcabc6a6980bfa85504

Observation f5315782-9fcf-4df6-938a-c208d08b3f9b · outbound

This paper cites , title =.

Decoupling Corruption and Horizon in Robust Contextual Pricing , title =

Reference 10

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:6f12d75160a9ef8dfafa5f52d1f514457cec1071128de4b3f56e50075d759e83

Observation a98ac7a2-8e78-408d-81a4-a59eb1b89431 · outbound

This paper cites Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives , volume =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives , volume =

Reference 11

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:5e5f4fb01b275e0d1005d82b03495a861fc401afe6b52df0c08df18592f80947

Observation 84bf4538-5a67-4b1a-b643-b21e41a9f302 · outbound

This paper cites Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints.

Decoupling Corruption and Horizon in Robust Contextual Pricing Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints

Reference 12

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:444cde718ac07eee54906cb4cc3ca87a2442fb10e96f550d7f356cea481be5a8

Observation 59dae569-6776-4900-9cc3-18c31c9f57c3 · outbound

This paper cites Exploration-Exploitation in Constrained MDPs.

Decoupling Corruption and Horizon in Robust Contextual Pricing Exploration-Exploitation in Constrained MDPs

Reference 13

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:533612afa485b6bd3a2581d2a0ce1b22e76856444c1361c2436ae13313ca3074

Observation 4e9779ff-bc5c-4d49-a02f-955481444a08 · outbound

This paper cites Proceedings of the 2nd Conference on Learning for Dynamics and Control , pages =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 2nd Conference on Learning for Dynamics and Control , pages =

Reference 14

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:cc4dba4a47c70f3f88e7ecd181699131e01946adc834fe27705d47f950796d83

Observation 7479fb10-91ec-4221-9d49-a28da3495475 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems , volume=

Reference 15

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:054a818404846dac286520322572e1330fd38753d2e8622c37cdf4c803695758

Observation 136c441e-84f5-4445-a2c3-781222e7fbca · outbound

This paper cites Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss , url =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss , url =

Reference 16

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:a850a36c125082b583baf7f45d03469f5db9161e3558003a343246699cb5104b

Observation b497eca0-98be-4443-acbf-132214cdd6b3 · outbound

This paper cites A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes.

Decoupling Corruption and Horizon in Robust Contextual Pricing A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes

Reference 17

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:080d96b69b28312205d2470bbd04098743deb17098bf392fb129824f65bbfa5d

Observation 15a2e531-09c3-4786-bd08-59ff39fd2869 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems , volume=

Reference 18

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:1bca0b3bcf37dd477157afe1652cd10701aa6e3cc5e299af316512b574de42ba

Observation b99e7e25-f9dc-49b1-9a27-16860ce80d62 · outbound

This paper cites Tsitsiklis and Jia Yuan Yu , title =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Tsitsiklis and Jia Yuan Yu , title =

Reference 19

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:eceab8a47da35eea8f435166138fb99c16ced2fd34a8575e413011530c297cf3

Observation ab0dd935-98f1-4d3e-9a2d-0d8beae7da51 · outbound

This paper cites 2006 , publisher=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2006 , publisher=

Reference 20

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:5fbf8a18c1c08b5e637c37968c38c0e88b079250c99cc72a3e515019a850f69e

Observation c484bef1-cdf7-42be-9a02-60f768be6e00 · outbound

This paper cites Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints.

Decoupling Corruption and Horizon in Robust Contextual Pricing Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints

Reference 21

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:8c7f567cb1734b65a2ca0c3b927d41bb1f3f77d238bae1884f8cb2033fada86d

Observation edbd3e7b-6c50-45be-9819-17ffb06ccf26 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing International Conference on Machine Learning , pages=

Reference 22

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:2e40470ac9ab88fd0415df2d4ebd11b9df3a32ce2e2fb40c3d1bf221835f24dc

Observation 37ba13f9-16ea-4f23-b05f-e137d60d8411 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 23

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:5f08f44f50780e6b4cdfaeba9f2578ff7ed74f0723d557d7d2ca5ec2e1060f3c

Observation b0cdb6e6-5c0d-4afa-aaa3-186069122558 · outbound

This paper cites 2018 , publisher=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2018 , publisher=

Reference 24

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:19e8ff633253b49333b862ee5b22052658374f437f876c73af50ed6d6a009664

Observation 537364b2-5eb5-40ad-a83c-af37513f599f · outbound

This paper cites 2014 , publisher=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2014 , publisher=

Reference 25

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:f5e1ffef3b701094535ad2da7ddf0d02285609cf909f434abbc6c41fe2848b06

Observation 08a5f607-40d2-4d81-bcc1-34c18aa82a8c · outbound

This paper cites 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) , pages=

Reference 26

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:a0cf4a9183c43cd5c34f9090881da291f477f031a034d167b5ad8440a860d30b

Observation e9bd144a-ae4d-4c64-a364-3114369ac837 · outbound

This paper cites 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 27

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:3e1b91e43f8e71b4096a6b300a3c0f7213dded948160c2b03b85d91dd8ae745e

Observation 3fe29bfa-2acd-4450-b218-878192c2dae9 · outbound

This paper cites Proceedings of the 27th ACM International Conference on Information and Knowledge Management , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 27th ACM International Conference on Information and Knowledge Management , pages=

Reference 28

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:0cc22db8a5605853f8f971fb4b499159352e6d2dfdec46094845de4cc344cfea

Observation 13b39458-b999-477d-a4e3-9feaede0c617 · outbound

This paper cites Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=

Reference 29

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:8966acea200fbaa3a582e34ae0f630990af5d4a992d57ffe24df7063af3c1735

Observation cc21c62a-25d9-460b-ad91-3b659b938f1b · outbound

This paper cites Proceedings of the FAccTRec Workshop, Online , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the FAccTRec Workshop, Online , pages=

Reference 30

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:e1951d6d2b2baa9ae778bcea20ed74af7f59a104fd0cfd0005fa2159bdddcf51

Observation 7089f119-63e5-49ed-b871-ae8abe3f1014 · outbound

This paper cites the Eighth Ad Auction Workshop , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing the Eighth Ad Auction Workshop , volume=

Reference 31

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:ac24f84e7ab9b2f1f008e2d071e3c489cdcbc143757c60d193aecdbc2a9eeb83

Observation 86bdc1f0-f1b5-4f76-9288-f3e5a9cc3e69 · outbound

This paper cites Management Science , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Management Science , volume=

Reference 32

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:0fd0505ed3bfd04823d87482f1b29ff18f5eff68367519f09560ca9da5dac0e6

Observation db86ddbe-c2a2-48b1-90b5-a90ce5b58250 · outbound

This paper cites Mathematics of Operations Research , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Mathematics of Operations Research , volume=

Reference 33

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:9301c2c165e579504bcce9e71a6fbdd6ebc25a3b24564d2e79df1406f43242bf

Observation e30904ac-0029-46e6-bac2-0ba0064ea33b · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems , volume=

Reference 34

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:187b6807bba5597ad75f333bd62e25725d07416a6f7c1014840549f8e5011484

Observation 2ba24d53-1ac9-4125-8e85-5b133f6571cd · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 35

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:4043a939fe301d5d9fdc06c65be4a0af5215c15a0e3bda9b7d19eb170e4cfa31

Observation a799ec7e-de04-4971-9181-d787d07ea44d · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing International Conference on Artificial Intelligence and Statistics , pages=

Reference 36

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:894588ec938aea0b3ec69a8343b98ea08914bc4262aacf23e311687c8744da51

Observation 048c92f1-fbe9-4749-af3f-f7b523ff32cd · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems , volume=

Reference 37

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:bd8f5c74af90093ebf36fcd3bf4a69a4da29b5ead2e59466c99a7d7aa96aae25

Observation 553a15ba-ea61-4c7e-a1c9-4eb4e6039b54 · outbound

This paper cites Conference On Learning Theory , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Conference On Learning Theory , pages=

Reference 38

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:183a7c32a52dc9a5f70c834c56864b7af949e92d3b58e5376d7fcc74105c95bd

Observation a00e1127-bf86-47ef-bbd4-8a296dd5cfa7 · outbound

This paper cites Explore no more: Improved high-probability regret bounds for non-stochastic bandits , url =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Explore no more: Improved high-probability regret bounds for non-stochastic bandits , url =

Reference 39

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:a88ee4830164060660b3b94505a5efcf061340ea56b58344fa9c8d658d7de036

Observation 53732aae-82e6-4733-9d5c-2240771872df · outbound

This paper cites Conference on Learning Theory , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Conference on Learning Theory , pages=

Reference 40

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:b25ad689ea1c47a7f959017046c8c971bcdaa12a078c61c4127092b309f4107a

Observation f6298c77-7829-4a96-a705-ac0563ec262c · outbound

This paper cites Learning Adversarial MDPs with Stochastic Hard Constraints.

Decoupling Corruption and Horizon in Robust Contextual Pricing Learning Adversarial MDPs with Stochastic Hard Constraints

Reference 41

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:b9e655666b614c9018cb74274a5960bec711f2f36d415bb3501e0570b1e94060

Observation 1cf4840c-a86e-4438-b186-0df1b535c4fb · outbound

This paper cites International Conference on Algorithmic Learning Theory , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing International Conference on Algorithmic Learning Theory , pages=

Reference 42

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:4479c2daf65c7b32ab9a55440bb3092a51f36a954b7cb4d62c8f67adde869760

Observation 576fba01-e1c6-414c-b977-43e87dd73897 · outbound

This paper cites Conference on Learning Theory , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Conference on Learning Theory , pages=

Reference 43

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:043557d42d793a5e9b80c8dc953612114f47967adca1eec0836a4ce6cf08ddfa

Observation bbcb1245-1e2c-4b07-8f70-2ade71f65768 · outbound

This paper cites Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=

Reference 44

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:402957d772d07d20f570052d3807364a4165434601a017d4a5b7523b1e41f74e

Observation 0ed96273-be54-4e56-abce-a0792345fd54 · outbound

This paper cites , publisher =.

Decoupling Corruption and Horizon in Robust Contextual Pricing , publisher =

Reference 45

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:32710d9f72a285d22fdf6db16fa19287f7c993a664788217d5e97f9c1ae7bd33

Observation 5c4c83a5-164b-466b-aa1e-398a77d1f7ed · outbound

This paper cites Proceedings of the 2nd Conference on Learning for Dynamics and Control , pages =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 2nd Conference on Learning for Dynamics and Control , pages =

Reference 46

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:c1c3ac4a4688d230f84b0b2f953c78a1ee348d9101f6319877b6261a326d5c04

Observation 4ac4bf52-e954-4b89-afc4-d77fef4b84d2 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Journal of Machine Learning Research , volume=

Reference 47

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:1d4f33b5c9a9e762f20ad21ad889bd6145900bd4f24f1302118501a397ebcf67

Observation a6d9867d-a4de-44a4-b952-e4ab75c3e531 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems , volume=

Reference 48

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:30528b7a1d2091ce2c680544d2d61930c7ef36db821901555729752157480c3f

Observation fd8bdb5e-4bbc-4b20-9c4f-c8f6e5d1ef2b · outbound

This paper cites A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints.

Decoupling Corruption and Horizon in Robust Contextual Pricing A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints

Reference 49

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:8f56afdf0e2e4a12eb4bdd3cce81e30a093ab6ae2fe53342fe67593a8289d684

Observation 3b1083b2-f0b7-426d-8aca-a33efc8db675 · outbound

This paper cites , title =.

Decoupling Corruption and Horizon in Robust Contextual Pricing , title =

Reference 50

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:270462652a9062272df4b0a4d36980706944f9ca2dcf81b0daa395709be1b9b8

Observation c72927d5-c2b0-4146-b2aa-d13be6196ad1 · outbound

This paper cites Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss , volume =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss , volume =

Reference 51

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:2bd588379be9840c16a425d3bc4e78a433e6bbf0dec5902ec04715fc14af3028

Observation fdba1373-4372-4cb7-a916-ba9afb9a9527 · outbound

This paper cites Online Learning in.

Decoupling Corruption and Horizon in Robust Contextual Pricing Online Learning in

Reference 52

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:5848545a7d0fac6f8e6765870d85bc26035bd89e938e954fc922b1a42f710aa1

Observation 84eb4cec-f7bf-4996-8dbf-c8df0ba40484 · outbound

This paper cites Best-of-Both-Worlds Policy Optimization for CMDPs with Bandit Feedback.

Decoupling Corruption and Horizon in Robust Contextual Pricing Best-of-Both-Worlds Policy Optimization for CMDPs with Bandit Feedback

Reference 53

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:fb2b1ce3b79171b190933db658dbf54105e499b8ec78aff356f290e230f20da5

Observation 4821aae2-f37b-4eac-8f0f-af842adc54a0 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing International Conference on Machine Learning , pages=

Reference 54

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:1423cee5ad736362c21a58489aa1e7ee0daea2f6d8f2294609d8b3d5c2c81a0e

Observation 4bc871ca-4333-4445-8c24-a68fae773aab · outbound

This paper cites 2024 , eprint=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2024 , eprint=

Reference 55

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:d125c8022cf785322afcbcadb3847949d3b699f50e27f765b64768b2b26ad8b1

Observation 64b97505-ec51-4642-b7ec-df31f0c74127 · outbound

This paper cites Operations Research , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Operations Research , volume=

Reference 56

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:1769eac5f6179aded1976b3956283c7a0f7cb7cf014b617547a6cfdc3fa190ad

Observation cadf1e95-bce1-4649-b177-842a6506bbf2 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning (ICML) , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 41st International Conference on Machine Learning (ICML) , pages=

Reference 57

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:461d06afe39772d4ae0619d489912a478f3f69400b9882eb72998757fe2c93d3

Observation 834c66c2-63ae-445a-b3d3-3d28c400a3fe · outbound

This paper cites 2012 , eprint=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2012 , eprint=

Reference 58

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:4737ead92fc9ea26713b4a8d7f215fabc3644718101adb26aee1e6c402752d42

Observation acf96820-ce9a-4a4f-9206-a9eadb75ef9a · outbound

This paper cites Bandits with Knapsacks , url=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Bandits with Knapsacks , url=

Reference 59

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:e0bc0f6f1b08353671f7e64c0dfbd8a8c348745735dd1a13b96410f4cdffbfc1

Observation 367700a2-1611-4613-baf3-3a72203148c5 · outbound

This paper cites 2014 , eprint=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2014 , eprint=

Reference 60

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:251539a86c256a7704982d84ff3298d8acb455db2b0e86032596d1cbe68fa1d6

Observation 8327fc94-598f-429f-a2de-2917b87c7e06 · outbound

This paper cites 2023 , eprint=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2023 , eprint=

Reference 61

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:e2b135833308c9d106549b2f7948fc2798ef0e1eb14cbf8d4d614a4783aa892c

Observation e867afd3-cb9f-4deb-93ea-58fe775bab70 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems , volume=

Reference 62

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:3617cb2e2b078c9c31e2143914e7aeaf0f54cb5c947326a9bb8cba9871a66dcc

Observation c1911504-80a5-49e7-a897-5250b6e79f1c · outbound

This paper cites Finite-time Analysis of the Multiarmed Bandit Problem.

Decoupling Corruption and Horizon in Robust Contextual Pricing Finite-time Analysis of the Multiarmed Bandit Problem

Reference 63

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:fd5fbbb5381da63c0b72e71e5d04ff84174d5943bffc29c6714a20e3e09026cf

Observation b4be758d-ffb1-4cea-afb2-d64b994845bb · outbound

This paper cites Bandit Algorithms , url =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Bandit Algorithms , url =

Reference 64

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:172a3c416a5ebc2917747f85024e700845caffaae46b2c29454a102a85c58dc7

Observation b3fc4426-395c-4f72-a464-8c8ae9e1711a · outbound

This paper cites Communications of the ACM , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Communications of the ACM , volume=

Reference 65

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:8cf6fb3e3c0993301409124d1a76938419cbe025b54a5a1845bde7e2df983511

Observation 02ba0088-08dc-4eb6-8f81-f44c42008bb1 · outbound

This paper cites Online Learning with a Hint , url =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Online Learning with a Hint , url =

Reference 66

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:f66d542d8912b0b55b51812a16fb741811e2c0e57991bdbd98346581fb4ad9f7

Observation acb127ed-57a2-4841-83e6-f8ca8f165021 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems , volume=

Reference 67

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:ba2a21601e97f759f3ce27e8c6430abea9bf48b5d62ec9795d8c6b0790c5f6ae

Observation 2368773c-f1fe-47e6-b95e-8e4d9312b9e8 · outbound

This paper cites 14th Innovations in Theoretical Computer Science Conference (ITCS 2023) , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 14th Innovations in Theoretical Computer Science Conference (ITCS 2023) , volume=

Reference 68

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:06a28bbd74f05ff1f2a1562764e11756007077baa7bb5247f6635cb27f236579

Observation 336f077f-d228-4c43-9ca3-8b1b4b4d3913 · outbound

This paper cites Advances in neural information processing systems , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in neural information processing systems , volume=

Reference 69

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:16b7c2befdda55f2141a069e4b3828b6e214d5315e8d17f81acc959cfc6cbaf5

Observation 5bcdf909-4e4c-4742-8332-cd2e411c696d · outbound

This paper cites Proceedings of the 19th international conference on World wide web , pages=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 19th international conference on World wide web , pages=

Reference 70

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:6b4256b12d1f9d62e176ed7195e380a582aa7eb4e48bf0621a7451a82185638d

Observation 86a8d530-3d04-4bca-b006-dea1cdb1c558 · outbound

This paper cites Statistical science: a review journal of the Institute of Mathematical Statistics , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Statistical science: a review journal of the Institute of Mathematical Statistics , volume=

Reference 71

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:264b5bb0bc6049cd204f2e147b3326c2291b1b2bc9172f644120bb9096b933c9

Observation 7a832dcb-736a-49b6-86cf-f89b3403393d · outbound

This paper cites Advances in neural information processing systems , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in neural information processing systems , volume=

Reference 72

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:2c51df05244f9ddfaaad76b1b6f10b7404bae81c7afe510595752e5f38dc9c7c

Observation a7231e12-8b5a-48e9-b9dc-c139bc5f7059 · outbound

This paper cites SIAM journal on computing , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing SIAM journal on computing , volume=

Reference 73

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:d4d07fdd5a19af68845a72381e15496d950158c24ede838aeea1edb5ab5c28a3

Observation 8aaad077-6021-41cf-8f90-9a8f7dfce03d · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

Decoupling Corruption and Horizon in Robust Contextual Pricing The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 74

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:610e59f5f503ae37222d377330339ce1f1e86c4db2053534cd074221b963976c

Observation a715d040-8454-4274-b86b-56fa586ee7f0 · outbound

This paper cites 44th Annual IEEE Symposium on Foundations of Computer Science, 2003.

Decoupling Corruption and Horizon in Robust Contextual Pricing 44th Annual IEEE Symposium on Foundations of Computer Science, 2003

Reference 75

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:84c42289b775b6c50ea5f4d406173436095bf27e5584844d7ed2a61874656202

Observation 57ee318f-d4f9-4384-9e39-5f2814c3aeed · outbound

This paper cites Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing , pages =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing , pages =

Reference 76

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:14f6e0469c37032582021bb67b71b4e83f21d9eb7bfcc40a43e0a6a37ef9a0a0

Observation 6988aa8a-52b0-48ca-a10f-5dccc8f2dd11 · outbound

This paper cites Operations Research , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing Operations Research , volume=

Reference 77

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:4e026ffcb39af7d3abe19771abb58f1217b082e6c01e02ae1e54498ae8136eb3

Observation a5be0ebd-8b77-4b05-9a99-5469b7b4d254 · outbound

This paper cites Cohen and Ilan Lobel and Renato Paes Leme , title =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Cohen and Ilan Lobel and Renato Paes Leme , title =

Reference 78

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:5a2aa438253f52460e2e5e7d233c73ab8f496436832f0e5a4090fa0ee3d308a8

Observation a4afb466-7c3f-40be-9afe-c7d655aa008e · outbound

This paper cites Operations Research , volume =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Operations Research , volume =

Reference 79

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:22a76343f97a57cae3761465fa2f9a29b7ae5b42306f7938a8732e279003d3a7

Observation fcc66964-bc55-4fbb-8b21-5222849be3cd · outbound

This paper cites SIAM Journal on Computing , volume =.

Decoupling Corruption and Horizon in Robust Contextual Pricing SIAM Journal on Computing , volume =

Reference 80

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:e2a0ef2f4c87b87fc82b04b934acd7f06c86e3fb196d23d1b1a66bc350fea496

Observation c5f5aa43-8d5c-4211-ae18-fd4b7aa343c2 · outbound

This paper cites Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages =

Reference 81

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:c0d17061c72ab2be9aad40a5a161b2d57e838e78889d2bf40e2946eba819d1c1

Observation ca0faadf-1fe6-4e8f-bcc4-45e5c56e8c74 · outbound

This paper cites Proceedings of Thirty Fifth Conference on Learning Theory , pages =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Proceedings of Thirty Fifth Conference on Learning Theory , pages =

Reference 82

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:d4f778543c6f129eff46540ff6e035defc1675cf449c55d8439463ff8f38a58a

Observation c1f4cfac-2ba0-479e-9c9b-3303e3683338 · outbound

This paper cites arXiv preprint arXiv:2206.07528 , year =.

Decoupling Corruption and Horizon in Robust Contextual Pricing arXiv preprint arXiv:2206.07528 , year =

Reference 83

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no resolver link, observed 2026-07-14T06:16:13.601515Z

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:407b3833299a33fc4595a99dbafc429d94c3e38fe18359532faaaa1a0d8f94ab

Observation 0cd9a401-35ff-4388-9025-28aa93c57576 · outbound

This paper cites Ulam , title =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Ulam , title =

Reference 84

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no resolver link, observed 2026-07-14T06:16:13.601515Z

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:cb1474b14ac4a94eaabb37a63340373eebb06a3567d0588b9330d41181a712eb

Observation 86dc7337-7db1-4555-9990-88890cde9aea · outbound

This paper cites an unresolved cited work.

Decoupling Corruption and Horizon in Robust Contextual Pricing Unresolved cited work

Reference 85

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no resolver link, observed 2026-07-14T06:16:13.601515Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:803e4d875a5854bf4a036bb7aa838a131f846e2642c8f4474eaa775a414580bd

Observation 327381b9-824f-4934-9b7e-1ad16b510d22 · outbound

This paper cites Advances in Neural Information Processing Systems 26 , editor =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Advances in Neural Information Processing Systems 26 , editor =

Reference 86

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:06cf439e220ad4318ba03f29eb068c2bed3b5009e7fa244c8a63a2eb8cfe48fb

Observation 4de4fabb-c8d9-4cf4-a134-324bacb7630f · outbound

This paper cites Regret Minimization for Reserve Prices in Second-Price Auctions , journal =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Regret Minimization for Reserve Prices in Second-Price Auctions , journal =

Reference 87

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:0158a194d638fcb4f8ae32a508917b2b11747affc69c0fd7c434dbc9ddd7ae5d

Observation 83b095e4-fd36-434c-aa4a-7a856c6531ba · outbound

This paper cites Horizon-Independent Optimal Pricing in Repeated Auctions with Truthful and Strategic Buyers , booktitle =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Horizon-Independent Optimal Pricing in Repeated Auctions with Truthful and Strategic Buyers , booktitle =

Reference 88

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no resolver link, observed 2026-07-14T06:16:13.601515Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:6e0faa99c2bb0bc5bb12a41eee18b3989b4721f86d585b1fa3ffb2e0eaad28bc

Observation 68633320-d105-48b0-92bc-371075b72656 · outbound

This paper cites Operations Research , volume =.

Decoupling Corruption and Horizon in Robust Contextual Pricing Operations Research , volume =

Reference 89

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:bf398f11de5e43bb8273f38532be60d01522e43e27c6e58ea140e3218f4b1faf

Observation 70b548fa-085c-48ab-b337-8c66232e9d21 · outbound

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

Decoupling Corruption and Horizon in Robust Contextual Pricing Journal of Machine Learning Research , year =

Reference 90

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:2d432a48096c3f3f90fa4d71b571779b784312b818bdf269286b13a9750af682

Observation a2d43667-9052-4bda-aa2d-1decb4eaf8e6 · outbound

This paper cites 12TH INNOVATIONS IN THEORETICAL COMPUTER SCIENCE CONFERENCE, ITCS 2021 , volume=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 12TH INNOVATIONS IN THEORETICAL COMPUTER SCIENCE CONFERENCE, ITCS 2021 , volume=

Reference 91

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:12d7a4c93283c088e9433796e3903c84c44ec7ca78b2dd769f265f2346b230fb

Observation 9b53b4b9-763e-4e6f-b3f9-d3664bc2915a · outbound

This paper cites 2026 , eprint=.

Decoupling Corruption and Horizon in Robust Contextual Pricing 2026 , eprint=

Reference 92

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source=arxiv_source observed=2026-07-14T06:16:13.601515Z digest=sha256:ba13b31dccc5a5f909c87da8f79487dd1aad5039898ff205a1d38d556acf365a

Pith citing papers

No inbound Pith citation observations are available.