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Paper Citation Record · LEDGER

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2501.00891.

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

pith.paper-citation-record.v1
2501.00891 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:46:04.135490Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:16:26.068304Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T11:16:26.414968Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c93b2cb-76f6-4e5d-a9f4-133d1fc26deb · outbound

This paper cites write newline.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:03.915247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:46:03.915247Z digest=sha256:c88866cf172211ce93f35a734c2b28f01b7e23e01a0d033d85707581d95d6094

Observation 7d3d8cff-abeb-43e7-b9e8-437840b47a06 · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Improved algorithms for linear stochastic bandits

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.905904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.921620Z digest=sha256:17008cbfefc17549d972d0dd0b7de9db063fa5ba54c713deb8771d359d3a255e

Observation 84def3a9-b7c1-4696-97e6-3cc3d16b9fd0 · outbound

This paper cites Linear stochastic bandits under safety constraints.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Linear stochastic bandits under safety constraints

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.890571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.926702Z digest=sha256:0469a6495da5ef9a8b1e90d75b243a87cd8c4afad7d918f933b108a83f445095

Observation e27c2d89-ba58-4ad1-bcfa-f7d7624e4e3b · outbound

This paper cites Local clustering in contextual multi-armed bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Local clustering in contextual multi-armed bandits

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.874738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.931884Z digest=sha256:c84bcc58c643eb2b0a344cb01809fa5dbc5d2f7b78fe5207ba7e5a2a86726ee7

Observation 031e1602-9f98-47a4-b113-5efe3ce4ae2e · outbound

This paper cites Mostly exploration-free algorithms for contextual bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Mostly exploration-free algorithms for contextual bandits

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.858889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.937270Z digest=sha256:246bd20eaff33476115a363609b510a11a18bd3586265dc9492363fd635c8d81

Observation 17de96c3-7e55-4a30-96ff-93d87537e30a · outbound

This paper cites Second workshop on information heterogeneity and fusion in recommender systems (hetrec2011).

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Second workshop on information heterogeneity and fusion in recommender systems (hetrec2011)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.840788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.942717Z digest=sha256:0a676924aca9fe9dde656fe2a9502909ab3d60c8771e25ad3a56a5662c94f060

Observation 25816722-6abb-4ee4-a35b-07be9404d413 · outbound

This paper cites A gang of bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts A gang of bandits

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.822475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.948920Z digest=sha256:0a0bf7c7ab4c5809ccbe06132ce47e0837f1202487015f85c7c694097d1bd22c

Observation 9a3c2da3-a53e-4fa4-a5e9-054b53328bb1 · outbound

This paper cites Osom: A simultaneously optimal algorithm for multi-armed and linear contextual bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Osom: A simultaneously optimal algorithm for multi-armed and linear contextual bandits

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.806213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.955883Z digest=sha256:a9283d5ab590ab578977e51fe64936782e3abbe7f6b3eff6b76c4b2c8fb76a98

Observation 1e2ae15f-d708-4cb6-85ca-3c170b6f2a9f · outbound

This paper cites Contextual bandits with linear payoff functions.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Contextual bandits with linear payoff functions

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.790527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.961758Z digest=sha256:b50a3d48ef54091c22f6050e8531836453699c1c2c57f7056c02f916608cc3b9

Observation 7de77488-d0a2-4a70-a340-e2117968a178 · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:46:04.776298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.966947Z digest=sha256:c6c5dab2da0978d78f7c82b8d69151f0f9185b2aa974a654511a6daa0e939242

Observation 0a049de5-d02f-45b7-ad5a-2912ca883a1c · outbound

This paper cites Online learning and detecting corrupted users for conversational recommendation systems.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Online learning and detecting corrupted users for conversational recommendation systems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.761723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.971930Z digest=sha256:3ffb0e5766eb5b6258fb0577872b2d4b8f224ae0c7314548088719e0745192f0

Observation 4c779c15-148f-41e0-8a82-01599b2477f9 · outbound

This paper cites Online clustering of bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Online clustering of bandits

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.746117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.977176Z digest=sha256:fff4ae2a0a2172ae57cdfa46d1444f21e6788f083fa7063de7c9db11f8a778b1

Observation 0f01ffd6-8b26-4c66-ae63-d9c232116f77 · outbound

This paper cites On context-dependent clustering of bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts On context-dependent clustering of bandits

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.731360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.983810Z digest=sha256:f464c9689873bcd9f8235f8043dcff066a1990bd96fe7af8700b649c4d85b13e

Observation 12bac930-062d-44bd-bd08-bcebce6c85da · outbound

This paper cites Breaking the T barrier: Instance-independent logarithmic regret in stochastic contextual linear bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Breaking the T barrier: Instance-independent logarithmic regret in stochastic contextual linear bandits

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.716286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.988730Z digest=sha256:6bb67e31b2c67fca8ecfc6c9701d2414eda75665b3b9cc2199f8aa7ab71f2372

Observation 618c6f2e-c411-4801-982a-8ef5d1ca24be · outbound

This paper cites Problem-complexity adaptive model selection for stochastic linear bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Problem-complexity adaptive model selection for stochastic linear bandits

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.699961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.993538Z digest=sha256:342db94312d3e99b5bec21c0346a8cae87ac44901685d7410d4807a4f73b2c4a

Observation f26e8c90-9100-418f-86c4-e5f2c8d82249 · outbound

This paper cites Collaborative learning and personalization in multi-agent stochastic linear bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Collaborative learning and personalization in multi-agent stochastic linear bandits

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.683574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:03.998789Z digest=sha256:cc78d258fae6751930f0a14cedaee2e800932a0a25e3e26bb1d9f3f4dcb314cb

Observation 77617e31-ace5-430b-acf1-8f4beabb2a78 · outbound

This paper cites Adaptive exploration in linear contextual bandit.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Adaptive exploration in linear contextual bandit

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.666688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.003720Z digest=sha256:baa825d77f96639291fe9b56e2d02b5124783822e07dac959ae34874e444e162

Observation aa2767bd-2aea-4a88-a0d7-e35ecbf5254d · outbound

This paper cites Maxwell Harper and Joseph A.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Maxwell Harper and Joseph A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.650857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.009142Z digest=sha256:11c4355e6a88f3a3f5ea1602bb6276fecdb50bfa679c5811f913f1711aa7d3f3

Observation 58d2037e-4e0d-4687-85ba-bbaa7348ad67 · outbound

This paper cites A smoothed analysis of the greedy algorithm for the linear contextual bandit problem.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts A smoothed analysis of the greedy algorithm for the linear contextual bandit problem

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.633462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.014926Z digest=sha256:cfebcea8a576f46756eadd5c0f565d9eda91e688b8dd80b1b8f541ef9c44373f

Observation 5ee0d84e-028d-4daa-8685-2c5c88ea40d2 · outbound

This paper cites Schapire.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Schapire

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.616085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.020153Z digest=sha256:a14087a3a4a8a284db5e77d098e015bac8b4242cd05e36fa7e89e9543d892e64

Observation baef4495-5f6a-4f0d-81b7-5759bda7370e · outbound

This paper cites Online clustering of contextual cascading bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Online clustering of contextual cascading bandits

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.597772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.026454Z digest=sha256:eb3993770b41a843a66a370c38b680ac9612477f65cb64cc1bedb7f6b159b88f

Observation d1d69153-3114-464e-bd22-4a428defcda4 · outbound

This paper cites Collaborative filtering bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Collaborative filtering bandits

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.581490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.031431Z digest=sha256:cccf0e37a559d25e0281f3fddec8e4895c59d1a0aed0f57834ed69be7ff1c253

Observation 241d9b18-64ef-4b0f-8c34-59b7bd847078 · outbound

This paper cites Improved algorithm on online clustering of bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Improved algorithm on online clustering of bandits

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.564962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.037538Z digest=sha256:69d9774c03ff19a63bc160f610d617608d69101aa1ca2ecb8e91b3b45f7bb55d

Observation aad4442d-ca3a-4280-8d84-022551e81d77 · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:46:04.547367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.043002Z digest=sha256:284cad0008ad7802ddedb96dd81dae743f2290885e9506378eabce7e9ee95830

Observation 79c6a150-0217-4ed7-b304-a55b88765098 · outbound

This paper cites Federated online clustering of bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Federated online clustering of bandits

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.528044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.048253Z digest=sha256:5c829ab490bee3d30d22e49ade70b5e6088f9338465fc8bd0d4894a3bb2938e8

Observation 43dce842-f4f8-4d4a-8f72-10eb72977ef7 · outbound

This paper cites Greedy algorithm almost dominates in smoothed contextual bandits.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Greedy algorithm almost dominates in smoothed contextual bandits

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:04.053068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:46:04.053068Z digest=sha256:7193222fec9f57f571a3e5207b9ab4dda8c9c5b7e4f7001fe9500cdf0492f0eb

Observation c54ecd58-ca07-4210-91dd-92abd5102063 · outbound

This paper cites Structured linear contextual bandits: A sharp and geometric smoothed analysis.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Structured linear contextual bandits: A sharp and geometric smoothed analysis

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.500996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.057905Z digest=sha256:139b43698081c78e7039508b21dcf9a0b47273c1beceb918a85080e888bbdb1e

Observation 46b2feea-6cde-478e-b94a-79d6e7e88bda · outbound

This paper cites Smoothed adversarial linear contextual bandits with knapsacks.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Smoothed adversarial linear contextual bandits with knapsacks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.483681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.062821Z digest=sha256:5fd02439bcd170bd1a14fde392a96de5efac606218f02ad0d419e642f98203ac

Observation dc5255bf-68e6-4c9c-ad5a-75a2523ecf00 · outbound

This paper cites Spielman and Shang-Hua Teng.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Spielman and Shang-Hua Teng

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.467488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.068032Z digest=sha256:430092883b0368e209b0159280ecdc40958249089352e927f06b0b3a2bb254ad

Observation e4a8c6ff-7831-4c7b-86cd-590cdd35cdb5 · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:46:04.452145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.073046Z digest=sha256:62c97f5ab7b1f8279f5ae89d827db4ded2fdc7510002eacaf4962bfd9cbb2a34

Observation 551ac23d-0845-4adb-8a53-c9c2634dc4bd · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:46:04.436374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.078380Z digest=sha256:4828ce0f4a89f384d06bbe10cfc8b1846fae22bfef6263cfed28356163861960

Observation c994622a-22c7-4e95-bd52-65db85ef7a7e · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:46:04.419779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.084656Z digest=sha256:9e1b88b4137ab7992a4fcb066bab5efeb9ce14afc84c37ae5b0dac2e34873e64

Observation bcee6ceb-c52c-4a36-bc94-6614106c34a9 · outbound

This paper cites Stochastic linear contextual bandits with diverse contexts.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Stochastic linear contextual bandits with diverse contexts

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.401068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T22:46:04.089647Z digest=sha256:f4ca6ce57bbdc209a6bb686f5bf8028da7714d12d7514c9e26408486d0b75dde

Observation 0234f054-2b42-410e-af2b-d9ad9d0b81a2 · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:46:04.384009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8224ee8d-4522-47af-aa5f-4bc035acf6cc · outbound

This paper cites Laplacian-regularized graph bandits: Algorithms and theoretical analysis.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Laplacian-regularized graph bandits: Algorithms and theoretical analysis

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.367710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 94fa7918-ef11-41fd-8dfe-729e483309f2 · outbound

This paper cites Y elp D ataset --- yelp.com.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Y elp D ataset --- yelp.com

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:04.350832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cedbf00d-cd3d-4186-bc34-55482f0cb7cc · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:46:04.333179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 92fc9c9f-e5e7-4d28-984b-b8d35fde9bab · outbound

This paper cites @esa (Ref.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts @esa (Ref

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:04.124557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:46:04.124557Z digest=sha256:62bf2efac427cbf0aefec8a197c57e32f42ffc6631a75d78ddd199c3334f401c

Observation 784f66e0-2f83-4e74-88b1-56ee00e51b27 · outbound

This paper cites an unresolved cited work.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:04.130099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0030b280-d15e-4982-b196-b15e2f4d3433 · outbound

This paper cites Since all algorithms achieve similar regret bounds, we focus on comparing the regret incurred by clustering.

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Since all algorithms achieve similar regret bounds, we focus on comparing the regret incurred by clustering

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:04.135490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:46:04.135490Z digest=sha256:5898912daa00bfe56c3cbc34226bc0ef8a52697f54e4bfcfc15f8df66e78eca4

Pith citing papers

Observation 477fa1df-aaf7-4fd0-812c-093a960d644f · inbound

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models cites this paper.

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-08T11:16:26.420030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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