Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T16:14:14.806220Z
Paper Citation Record · LEDGER
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set
As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.23679.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved50
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dacc8228-c44c-4282-b494-dd3430b1ed2b · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in Neural Information Processing Systems , volume=
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:09.363479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42620710-85bf-468f-9bdc-2035cc0e3737 · outbound
This paper cites 1986 , isbn =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set 1986 , isbn =
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:09.416205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da022341-15f9-424b-a8a9-aca08d18137f · outbound
This paper cites , title =.
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:09.545452Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1eb522b2-b8d2-45ad-a82f-233d74fad036 · outbound
This paper cites , title =.
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:09.635036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32ad44ef-f0a4-4b34-ae0c-515f666c5766 · outbound
This paper cites Proceedings of the 18th Annual IEEE Symposium on Foundations of Computer Science (FOCS) , year =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Proceedings of the 18th Annual IEEE Symposium on Foundations of Computer Science (FOCS) , year =
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:09.743630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation def4efb4-2c23-43c0-8cdb-272e0cf00306 · outbound
This paper cites Proceedings of the 24th Annual IEEE Symposium on Foundations of Computer Science (FOCS) , year =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Proceedings of the 24th Annual IEEE Symposium on Foundations of Computer Science (FOCS) , year =
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:09.891139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8334492-87ab-40fa-9095-c53f795a3bbe · outbound
This paper cites 1995 , isbn =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set 1995 , isbn =
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.027441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1309f5e2-fbc8-4d68-855e-098a0b03c6d4 · outbound
This paper cites Festschrift for Lucien Le Cam: Research Papers in Probability and Statistics , editor =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Festschrift for Lucien Le Cam: Research Papers in Probability and Statistics , editor =
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.146743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06eb3411-ef40-4077-85e4-afffb9844d74 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.284275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62e93617-6fae-4418-a90c-d955a6ba39f6 · outbound
This paper cites Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing , pages=
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.346575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63bcf09f-0f1a-4b14-be1e-a2047b184ce1 · outbound
This paper cites 2020 , publisher=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set 2020 , publisher=
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.491217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56eb6e71-6062-47fb-85f3-72f7433487f5 · outbound
This paper cites 2024 , eprint=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set 2024 , eprint=
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.653608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1706c50c-7ed8-4f49-bd52-94e060d39cb7 · outbound
This paper cites the Annals of Probability , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set the Annals of Probability , pages=
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.818082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 306f28f2-03ef-4d59-9b25-afd182eed91a · outbound
This paper cites Conference on Learning Theory , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Conference on Learning Theory , pages=
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:10.972332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77362e5b-c935-4ed5-9720-a25d71665321 · outbound
This paper cites The Thirty Sixth Annual Conference on Learning Theory , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set The Thirty Sixth Annual Conference on Learning Theory , pages=
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.149571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bcac921-6d29-4d25-b572-25c3e21aa881 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in Neural Information Processing Systems , volume=
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.274935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3e6c841-1f68-4b78-bacb-f6d287abf51b · outbound
This paper cites The Thirteenth International Conference on Learning Representations , year=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set The Thirteenth International Conference on Learning Representations , year=
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.397850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ac82543-d35a-4aa4-a0c9-3dd998d8e8c5 · outbound
This paper cites Advances in neural information processing systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in neural information processing systems , volume=
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.491359Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a534ec07-0ed4-4f35-a9f5-608e74eb494a · outbound
This paper cites Advances in neural information processing systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in neural information processing systems , volume=
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.549284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2640db3d-bb7b-4e4c-ba08-1e14aa7b408c · outbound
This paper cites 1998 , publisher=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set 1998 , publisher=
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.607012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a7818e6-d46c-448f-bdaf-2869f4971ef4 · outbound
This paper cites Artificial Intelligence and Statistics , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Artificial Intelligence and Statistics , pages=
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.664909Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f0583fd-3f28-4cf2-8839-16a45d85afa9 · outbound
This paper cites Variance-Dependent Regret Lower Bounds for Contextual Bandits.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Variance-Dependent Regret Lower Bounds for Contextual Bandits
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.723269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1b5da5b-cb52-4fc8-9872-3f1696a729a9 · outbound
This paper cites Conference On Learning Theory , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Conference On Learning Theory , pages=
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.812597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f729322c-b2a4-4a15-8c54-66e0af4148a2 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in Neural Information Processing Systems , volume=
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:11.925387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 552dc51f-4d5a-4ee7-8816-bce49e485c87 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in Neural Information Processing Systems , volume=
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:12.019313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1355f1cd-0755-4ddb-90f6-2a9bac3fb19b · outbound
This paper cites Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:12.125618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcb8e8a6-2baf-4b57-934f-04161845beb7 · outbound
This paper cites 21st Annual Conference on Learning Theory , number=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set 21st Annual Conference on Learning Theory , number=
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:12.190403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f82a2e4b-41a3-4a85-bf8e-b2c348f0d7e1 · outbound
This paper cites 2004 , publisher=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set 2004 , publisher=
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:12.267904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cd50da5-255d-4c9d-8881-385b2e0fd8aa · outbound
This paper cites Do we need to estimate the variance in robust mean estimation?.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Do we need to estimate the variance in robust mean estimation?
Reference 29
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- unresolved
- no resolver link, observed 2026-07-30T16:14:12.337079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79dc87cf-ff6c-4b9c-86c3-477b03f512c9 · outbound
This paper cites Transactions on Machine Learning Research , year =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Transactions on Machine Learning Research , year =
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:12.461880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bff835a-eed4-49f2-8ba2-a5d7afcac431 · outbound
This paper cites Machine learning , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Machine learning , volume=
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:12.546453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e7645f5-555a-4f9c-889c-d1d66a80d82b · outbound
This paper cites Minimax Policies for Adversarial and Stochastic Bandits , booktitle =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Minimax Policies for Adversarial and Stochastic Bandits , booktitle =
Reference 32
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- unresolved
- no resolver link, observed 2026-07-30T16:14:12.687852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed5cd5dc-f377-4156-9830-82e6e37a905c · outbound
This paper cites A Minimax and Asymptotically Optimal Algorithm for Stochastic Bandits , booktitle =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set A Minimax and Asymptotically Optimal Algorithm for Stochastic Bandits , booktitle =
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:12.893343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b67dfe1-2f0a-4fe6-a2ff-e92268bedf4a · outbound
This paper cites International Conference on Machine Learning , pages =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International Conference on Machine Learning , pages =
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.033462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58529fcd-3f6a-4e35-a921-0f57a564ce80 · outbound
This paper cites International Conference on Machine Learning , pages =.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International Conference on Machine Learning , pages =
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.153352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38835b35-b1c9-40ce-968f-a92d4798eed9 · outbound
This paper cites International conference on machine learning , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International conference on machine learning , pages=
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.321785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a52458e-2a5f-4457-b21e-d4d944c7ca9b · outbound
This paper cites IEEE Transactions on Information Theory , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set IEEE Transactions on Information Theory , volume=
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.459637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73bcd797-8c32-428e-9b8e-4909fef56845 · outbound
This paper cites International Conference on Machine Learning , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International Conference on Machine Learning , pages=
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.549518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0faa6b90-518c-4559-96bc-f00735c1b7ec · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in Neural Information Processing Systems , volume=
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.671741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9beab0e-b81b-4658-8cf8-cec3f49ee13f · outbound
This paper cites Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.761525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 904e2ad9-42a7-40a1-9311-50713f61c8c9 · outbound
This paper cites Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.860087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0207830-3764-49a2-9639-7dfa0cd0c225 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in Neural Information Processing Systems , volume=
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:13.985634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8891bb5a-1d11-445f-bf00-a17dc0763b0d · outbound
This paper cites Forty-second International Conference on Machine Learning , year=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Forty-second International Conference on Machine Learning , year=
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.103314Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4479ee79-858e-47f0-8133-9407ff5ca78f · outbound
This paper cites International Conference on Machine Learning , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International Conference on Machine Learning , pages=
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.204419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3767297-0b0a-45de-8e61-f654ab6db284 · outbound
This paper cites International Conference on Machine Learning , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International Conference on Machine Learning , pages=
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.319133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cf4a89c-4175-4091-b72b-4b1531b122ec · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Advances in Neural Information Processing Systems , volume=
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.403271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23c994f3-366d-4fdb-9130-075863eca5d5 · outbound
This paper cites International Conference on Machine Learning , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International Conference on Machine Learning , pages=
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.498250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fe1e75e-c688-40d1-a69c-ab5acbaef3a9 · outbound
This paper cites The Thirteenth International Conference on Learning Representations , year=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set The Thirteenth International Conference on Learning Representations , year=
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.634392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b2ce430-fc05-42c6-88a4-a72b9fc2d9ec · outbound
This paper cites arXiv preprint arXiv:2508.02103 , year=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set arXiv preprint arXiv:2508.02103 , year=
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.722986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation feede862-ad74-48ec-84aa-bdd710b9a32b · outbound
This paper cites International Conference on Machine Learning , pages=.
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set International Conference on Machine Learning , pages=
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T16:14:14.806220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.