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Paper Citation Record · LEDGER

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.02891.

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

pith.paper-citation-record.v1
2607.02891 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:20:52.820013Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95971a19-8779-4461-8c81-3fa1bf526781 · outbound

This paper cites Improved Algorithms for Linear Stochastic Bandits , booktitle =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Improved Algorithms for Linear Stochastic Bandits , booktitle =

Reference 1

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:aea40894d00e6c1d4efb9cc4ad2698a48e61f8a99d9ce95c53117d9c8b601685

Observation f4ea9363-15fe-482a-9345-872bd195b40b · outbound

This paper cites , title =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions , title =

Reference 2

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:f78436414c7ca976c49b47799dc84046ceed1fd8a88bc8094b14bdfdeac7c45f

Observation a4051b99-cce3-4d5a-ab04-477499955118 · outbound

This paper cites and Besbes, Omar and Weintraub, Gabriel Y.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions and Besbes, Omar and Weintraub, Gabriel Y

Reference 3

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:25db3a8eba87f1b87d059083d90e7a43260324dd7665fb1bd782d5e247e7766a

Observation 10c06fc6-bc6b-40cb-a782-a88299ed4491 · outbound

This paper cites Operations Research , volume =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Operations Research , volume =

Reference 4

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:6378824c43c3c0d66681b792500511c6960c858a174a08df7693cb1b16cc7428

Observation bcfd3813-8e60-47fe-8b45-08489fd364f4 · outbound

This paper cites Operations Research , volume =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Operations Research , volume =

Reference 5

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:bf2981d7cb32d8e44edfeff22eb188bf42c43ec023e3fe7d34c421a12a687d8b

Observation 7c28b5f2-179f-41a0-8311-d559a6b3d9a7 · outbound

This paper cites Operations Research , volume =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Operations Research , volume =

Reference 6

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:4103f7b2e3689c35309daf64cacf6b0317bafe799f0ca07589de9a5da5592890

Observation 3f3544c5-e28a-40b2-9782-590283d1825f · outbound

This paper cites Management Science , volume =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Management Science , volume =

Reference 7

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:c2d04c3be61e4602f26408c8bbc3acffa5e64ffc4909a3ca30e2c9718d2dbc70

Observation 8e6eb228-ee39-4153-8628-766acec71176 · outbound

This paper cites Proceedings of The 28th International Conference on Artificial Intelligence and Statistics , series =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Proceedings of The 28th International Conference on Artificial Intelligence and Statistics , series =

Reference 8

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:9ea20a4dca101d9c41237a7492b8dcc9735ad46c9de72da3349c0d21770e0960

Observation 2de9be3b-3628-48ec-828a-a8cae5565955 · outbound

This paper cites A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions , booktitle =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions , booktitle =

Reference 9

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:17f57a4ff7d0ae565b8e84db3f0af9add7eb2124da6baa74ccbdb007330534d8

Observation f0a241fb-96ad-4abb-829c-e933f0202a61 · outbound

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

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions and Lobel, Ilan and Paes Leme, Renato , title =

Reference 10

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:7fac45b48d7ffe85c565c117f1e57ce9f8734cb27f7ead0c747a58233d3634c6

Observation 1176a227-2431-4591-8330-cfa68006a9c8 · outbound

This paper cites Bora and Zeevi, Assaf , title =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Bora and Zeevi, Assaf , title =

Reference 11

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:73de3aadfba241eceb9142102e2059227d97857e6d7fdde4efc2332cc31fe444

Observation 97b6b8ed-d363-413f-b65f-91cf754f8769 · outbound

This paper cites Bandit Algorithms , publisher =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Bandit Algorithms , publisher =

Reference 12

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:b605584076de414886f447dfa118fbb0c7b03478b565b269f484ca54ce94f6f6

Observation c24343ce-f683-48c3-b479-d9cd739590c6 · outbound

This paper cites Information Systems Research , volume =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Information Systems Research , volume =

Reference 13

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:e69b3002801750271dab1df675db1646383b3399818ebdcf895d58ecd12a0d0d

Observation 182626d3-fd67-4c5a-8d3b-7730b5dacb4d · outbound

This paper cites , title =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions , title =

Reference 14

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:56ba4443c26707c2e3646a054c578ca82bb8e54f3803a84327a0e933fee6b314

Observation 0a7e6016-7db4-4bbf-85f9-821774d7c475 · outbound

This paper cites Weighted Linear Bandits for Non-Stationary Environments , booktitle =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Weighted Linear Bandits for Non-Stationary Environments , booktitle =

Reference 15

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:c0d01e4587ebc1105d362b6d254274eb9daec01ef2b8c0a6a9dd32dd435baf6a

Observation 8b3ae1d2-15cd-4bfe-ae12-dea917b8c543 · outbound

This paper cites Operations Research , volume =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Operations Research , volume =

Reference 16

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:9f0e9652777630d06700867c61a41cf31941b7ee1a7c22059c754ff4130fd037

Observation 83bb3efe-9e8a-4600-b83e-82bc85df433c · outbound

This paper cites Efficient Learning in Non-Stationary Linear Markov Decision Processes.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Efficient Learning in Non-Stationary Linear Markov Decision Processes

Reference 17

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:ddd11df3cac4acfaa003f0a58259a1b6861fdb2dda874b7e25a7d50605495fd0

Observation 15f684a3-1af3-4c5b-a069-774b402e2eba · outbound

This paper cites IEEE Transactions on Information Theory , year =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions IEEE Transactions on Information Theory , year =

Reference 18

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:22b04e089a5dc4deef813f5ceb6a67cbbacf9861108fe81436c91750e9614602

Observation c6caed95-da07-48ec-bacb-9767c1834b12 · outbound

This paper cites Proceedings of the Conference on Learning Theory , series =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Proceedings of the Conference on Learning Theory , series =

Reference 19

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:c7cbfa18384cdff37e3f3b9111b5827e568f005f13e0f350a6d27312955a5212

Observation b49a5080-37f6-47c8-815d-2a92552947e0 · outbound

This paper cites A Simple Approach for Non-stationary Linear Bandits.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions A Simple Approach for Non-stationary Linear Bandits

Reference 20

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:4473f39642e881aa18a54fd537a3184497931846ea0b96760f1513454bb34495

Observation 67328ad2-0a47-4044-9dc2-de366ee55961 · outbound

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

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Advances in Neural Information Processing Systems , volume=

Reference 21

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:5bdde3292bdfc6cfeda7288f7d2c4d326a68b6f2b917d2bca9701f6ad2190ebf

Observation 9657260c-bf65-4d7e-9cf7-8875166173bd · outbound

This paper cites Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=

Reference 22

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:250a2ed00c871ee98c45dd46748737561c534d1277a211d93d83d4f061e204f4

Observation 62a65ff4-5b9d-4a11-ab81-c5343049c8cd · outbound

This paper cites and Kakade, Sham M.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions and Kakade, Sham M

Reference 23

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:3dc986c337872df419197d6eeafe7e7cd80e5277ef6fde5a44b1931aac175b0b

Observation a861013f-c1c0-4a4f-8626-784ede77751a · outbound

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

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions International Conference on Artificial Intelligence and Statistics , pages=

Reference 24

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:307f15a75b5a79966d5ace44df16602d1bf6fb0bead755835478683ad275226b

Observation 3cb70b43-d3bd-4772-b671-2087c8f20449 · outbound

This paper cites arXiv preprint arXiv:2501.13358 , year=.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions arXiv preprint arXiv:2501.13358 , year=

Reference 25

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:29b94e2826fff76bde7b1ac2d7f288c94e71780fdb4868b08833a208019a1274

Observation 5ba4662b-f852-43fc-941a-764483867824 · outbound

This paper cites Machine Learning , volume =.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Machine Learning , volume =

Reference 26

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:6490bac5faf0af82619b8aed37883bf9e16840450b93ae199a6acdbc377a805f

Observation 0da4be7d-81b8-4721-9f07-ae401e8bf028 · outbound

This paper cites Operations Research , volume=.

Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Operations Research , volume=

Reference 27

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source=arxiv_source observed=2026-07-12T06:20:52.820013Z digest=sha256:7558604a0a8f83372bbe12b5b7d9ef0beecec8a59cce52f844e4b1381373b3b2

Pith citing papers

No inbound Pith citation observations are available.