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Paper Citation Record · LEDGER

Optimal Regret of Bernoulli Bandits under Global Differential Privacy

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.05613.

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

pith.paper-citation-record.v1
2505.05613 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:13:18.331321Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

46 of 46 outbound references displayed

  • verified exact2
  • verified fuzzy27
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3765789-9366-44dd-9638-d5a34bac1ce0 · outbound

This paper cites The price of differential privacy for online learning.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy The price of differential privacy for online learning

Reference 1

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no resolver link, observed 2026-08-15T23:13:18.149617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.149617Z digest=sha256:8dd54ecb557d07b33f3863a29385682c549cdad2d468f93e3083199cbdd7c670

Observation 7814df00-fd95-4708-beac-6b1190aa0680 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Finite-time analysis of the multiarmed bandit problem

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.155384Z digest=sha256:65d5700896d4a61afdf6b5640b1591ddfe1a6adbbdbb6c5c089b5d164035e7dc

Observation f7d5f2b0-4716-4f58-8de2-a9cbfcaf681f · outbound

This paper cites When privacy meets partial information: A refined analysis of differentially private bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy When privacy meets partial information: A refined analysis of differentially private bandits

Reference 3

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no resolver link, observed 2026-08-15T23:13:18.160164Z

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source=arxiv_source observed=2026-08-15T23:13:18.160164Z digest=sha256:06a20e92fb4de1b9453fb30770e5a5df7101cdeadf928890421541a4848cdfe9

Observation 8f7aa63f-ef15-44b7-9d02-b9abe9740ff6 · outbound

This paper cites Concentrated differential privacy for bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Concentrated differential privacy for bandits

Reference 4

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raw_fallback, observed 2026-08-15T23:13:18.907271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.166097Z digest=sha256:e5fb781be1b87a6d34d088b8d8ee550818809564233f4fc6a3c852603c978422

Observation 24dea400-137e-4b6f-88d2-83761c2ccb50 · outbound

This paper cites On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence

Reference 5

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source=arxiv_source observed=2026-08-15T23:13:18.171493Z digest=sha256:6f3ea79eb0dc4c089d4dba1d865f7e93df8f252215d8c2605f8946e098cfac37

Observation b1fc041e-f47e-4d70-99bc-23c32917624b · outbound

This paper cites Differentially Private Best-Arm Identification.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Differentially Private Best-Arm Identification

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T23:13:18.176626Z digest=sha256:ab2e3fad70ae5561a59b06e86f20b0fc84c44ea460617949f69b15bc724250a4

Observation b775d79b-2253-4314-a68f-cf4e09fe930a · outbound

This paper cites Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?

Reference 7

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source=arxiv_source observed=2026-08-15T23:13:18.182023Z digest=sha256:b4c277daf531bd3cd8c4aec62fd3f5a7a049de80a4ffa784d71fa0b4d6c10c5e

Observation 2b86debe-ceae-4b0b-8636-7be5af99d77b · outbound

This paper cites Concentration inequalities.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Concentration inequalities

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.187136Z digest=sha256:465a601945ca6af0b513cf68e52196e22f318280abe76b7448275a2a8e33de30

Observation 5e2d02f9-1131-4c99-8330-4cfbcce6f680 · outbound

This paper cites Capp \'e , A.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Capp \'e , A

Reference 9

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raw_fallback, observed 2026-08-15T23:13:18.886613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.191317Z digest=sha256:bea0eb1480b8494ad07f7d3cd146289c264dd1cf83020c758ed0a4bc336eed91

Observation f6675df3-5f14-4fcf-b14e-cfa764ef0024 · outbound

This paper cites Hubert Chan, Elaine Shi, and Dawn Song.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Hubert Chan, Elaine Shi, and Dawn Song

Reference 10

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no resolver link, observed 2026-08-15T23:13:18.195225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.195225Z digest=sha256:0307b1caf36ebea0afda34781a94a2d031bca3bda976fc2e21723a3000cb6f2f

Observation 9536e89e-0ca7-47a2-a1e7-9517195d2e34 · outbound

This paper cites Combinatorial pure exploration of multi-armed bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Combinatorial pure exploration of multi-armed bandits

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.875156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.199026Z digest=sha256:b95886c0969e3eae64411b6b79b1375a934ff1475b94bdb554bd10f120cced4d

Observation 6516e279-59eb-4455-9b84-1b6d6f227c25 · outbound

This paper cites Fixed-Budget Differentially Private Best Arm Identification.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Fixed-Budget Differentially Private Best Arm Identification

Reference 12

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no resolver link, observed 2026-08-15T23:13:18.203297Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.203297Z digest=sha256:f4a456d209f2b6b7259f52a584d69e8d9065f2f9ec420d8ab1d5a13ec1b7066a

Observation 9c81046c-a67f-481c-b654-8e7979da5b3e · outbound

This paper cites Shuffle Private Linear Contextual Bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Shuffle Private Linear Contextual Bandits

Reference 13

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no resolver link, observed 2026-08-15T23:13:18.207452Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.207452Z digest=sha256:72a6a75e2d07d3c9c518ff026fd5b72e2c05b1f5d9f95e5717159e8a25b589c6

Observation 9d3423ee-5e7d-4350-9ff5-115030cb4d1c · outbound

This paper cites The algorithmic foundations of differential privacy.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy The algorithmic foundations of differential privacy

Reference 14

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raw_fallback, observed 2026-08-15T23:13:18.862618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.211537Z digest=sha256:ac30eb50d38d0432e87582151385a8ff83f3f0a60a1a436494c7ceeac134ce6d

Observation a493d173-2d98-4b85-a8de-f6d2e6ecf658 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Calibrating noise to sensitivity in private data analysis

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.850385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.214973Z digest=sha256:99aea035effe43c85fb3e66bbd92e9f0400b63a36f718e13d98a0bfa5f5b6b91

Observation 6d48a63b-0ccd-431b-8984-c6d1e2238464 · outbound

This paper cites Rothblum.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Rothblum

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.218855Z digest=sha256:c62238de9635a459259d4df9ba8cead6d4a0fcb62d175d6e2d6b535fd7210197

Observation abd65292-d72d-428f-9d74-a3c1ba3eb6a3 · outbound

This paper cites PAC bounds for multi-armed bandit and M arkov decision processes.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy PAC bounds for multi-armed bandit and M arkov decision processes

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.823966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.222332Z digest=sha256:d60aa47cacc82584a554c1272dabe7c77ee519602e0801603c75fbc2a2018ac6

Observation 5a977260-8e43-4cc2-87ef-4fd4fe5d5daf · outbound

This paper cites Privacy amplification via shuffling for linear contextual bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Privacy amplification via shuffling for linear contextual bandits

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.812067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.225871Z digest=sha256:928799a078d61420249e967490cd764ae985b431d96f270081808cd9ea87cfb8

Observation 83ebc192-3f35-4948-9e11-933c69c2da6f · outbound

This paper cites Generalized linear bandits with local differential privacy.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Generalized linear bandits with local differential privacy

Reference 19

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raw_fallback, observed 2026-08-15T23:13:18.798444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.229429Z digest=sha256:6801fb5d6fb50d7e6d746f715a5109519f4181fde89c22b309bb02d3f3f1d2e4

Observation 68f4217b-c1f5-4b73-b019-945a953c0857 · outbound

This paper cites Differentially Private Stochastic Linear Bandits: (Almost) for Free.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Differentially Private Stochastic Linear Bandits: (Almost) for Free

Reference 20

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source=arxiv_source observed=2026-08-15T23:13:18.233841Z digest=sha256:0d68795ddad61783a432620a8052e94e45945b70843b52c4d8e768a67146e000

Observation 0bf0a713-f5fe-4ef9-83a3-ebeed968b424 · outbound

This paper cites A Note on KL-UCB+ Policy for the Stochastic Bandit.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy A Note on KL-UCB+ Policy for the Stochastic Bandit

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:13:18.400405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.237931Z digest=sha256:a8588a91f80701f183d2022488f9052214aa2c28203856f43fb2216321418485

Observation ba7957bb-9cef-449b-8e58-de0d4c753f35 · outbound

This paper cites Non-asymptotic analysis of a new bandit algorithm for semi-bounded rewards.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Non-asymptotic analysis of a new bandit algorithm for semi-bounded rewards

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.786814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.242006Z digest=sha256:63cdc7dfbf725199632e4b1297f9f495340e4ec9caa7dac9327cfbe8099950da

Observation 55e2f945-6a17-4254-9b66-3aa5f651ef94 · outbound

This paper cites Near-optimal T hompson sampling-based algorithms for differentially private stochastic bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Near-optimal T hompson sampling-based algorithms for differentially private stochastic bandits

Reference 23

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raw_fallback, observed 2026-08-15T23:13:18.775053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.245618Z digest=sha256:6e8031f8fb810d19c1041120d751c0e143e9410c1703b77013691445d9627c10

Observation 5c2164a3-6ce6-401d-98c7-fe82ab0d9a50 · outbound

This paper cites Near-Optimal Algorithms for Differentially Private Online Learning in a Stochastic Environment.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Near-Optimal Algorithms for Differentially Private Online Learning in a Stochastic Environment

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.249708Z digest=sha256:39df8314e3e760c95553d4f7d460a1d067a3a5ff74789a82ef38631809912c30

Observation 89930471-0763-4e74-9ad9-c61e81c66332 · outbound

This paper cites The price of differential privacy under continual observation.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy The price of differential privacy under continual observation

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.762726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.253854Z digest=sha256:86a72eb76e9902e5824138b392d913a95a10346522ebf44ec04c631bff3ad44c

Observation d0d485f6-39d1-4ceb-9ff6-093bc49f4481 · outbound

This paper cites The composition theorem for differential privacy.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy The composition theorem for differential privacy

Reference 26

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no resolver link, observed 2026-08-15T23:13:18.257266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.257266Z digest=sha256:44df986e9ac6cf641fed08b4a44ec2f8b998413f26e7706ce04c8b5a12c96b98

Observation 650e81b2-7ead-41eb-8d58-d57ae452389e · outbound

This paper cites Asymptotically efficient adaptive allocation rules.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Asymptotically efficient adaptive allocation rules

Reference 27

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no resolver link, observed 2026-08-15T23:13:18.260745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.260745Z digest=sha256:c0a71bba64e1c0480aaa77084a6af0765322054c3864b087509ab7063d681dbe

Observation a7e26de6-6483-4855-b40b-18d02e59867d · outbound

This paper cites Differentially private linear bandits with partial distributed feedback.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Differentially private linear bandits with partial distributed feedback

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.734836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.264630Z digest=sha256:58be7f2c0b2190e530885d5f4b819c62fb299eb41dc17ca5c93163b485761e80

Observation 11ccdba0-bff1-4777-bdef-f0eb524d09a0 · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Hyperband: A novel bandit-based approach to hyperparameter optimization

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.722290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.267961Z digest=sha256:61475d913b8e1ea82538a554a092622bc90fcacc9fad4e6ded24b00bcf77b5e8

Observation b6c46a3a-77a9-4d2c-a077-925017377ec2 · outbound

This paper cites Bayesian best-arm identification for selecting influenza mitigation strategies.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Bayesian best-arm identification for selecting influenza mitigation strategies

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.710866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.272249Z digest=sha256:b2d26aeda92963558cb918fdea0748458e47e06f0acb581d95121422b1eb3938

Observation f034e90a-6fc5-415b-8550-98f074865e08 · outbound

This paper cites Measurement-based admission control in sliced networks: A best arm identification approach.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Measurement-based admission control in sliced networks: A best arm identification approach

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.699174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.275960Z digest=sha256:a8d1216c7878df355942bec2af9d9aea234276e5794d8b8af263f581e7d03309

Observation bb595569-1530-4e2d-9c8e-aa322a92540b · outbound

This paper cites A day at the races: using best arm identification algorithms to reduce the cost of information retrieval user studies.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy A day at the races: using best arm identification algorithms to reduce the cost of information retrieval user studies

Reference 32

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raw_fallback, observed 2026-08-15T23:13:18.687309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.279445Z digest=sha256:8b98052170971875055b0ef1fe994dfcb4efeb03113eff51d70541337cc72d17

Observation a86863c1-b8e1-4e0f-a1ae-ac64d7d0af94 · outbound

This paper cites ( N early) optimal differentially private stochastic multi-arm bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy ( N early) optimal differentially private stochastic multi-arm bandits

Reference 33

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raw_fallback, observed 2026-08-15T23:13:18.675197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.282974Z digest=sha256:701a1a4b619c9b4861efd6b288e877e112854efe772f0ccf5c5f9601cfc5c0f8

Observation 63a5b422-9508-4797-ace9-966832d47926 · outbound

This paper cites Mitigating bias in adaptive data gathering via differential privacy.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Mitigating bias in adaptive data gathering via differential privacy

Reference 34

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no resolver link, observed 2026-08-15T23:13:18.286400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.286400Z digest=sha256:50acb50359046f778201ac4167da5a7840e8996f1173055af798346f2329958c

Observation 0bc969bd-e475-4b97-bf1c-a2b846b64293 · outbound

This paper cites Differentially Private Kernelized Contextual Bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Differentially Private Kernelized Contextual Bandits

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:13:18.371698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.290618Z digest=sha256:423652f7d67c5fcdc798a0797a573a8313501560efed28c6caa840de523fe286

Observation 7b24fad4-1a36-41b7-b9c5-ab79f5d00d4d · outbound

This paper cites An optimal private stochastic- MAB algorithm based on optimal private stopping rule.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy An optimal private stochastic- MAB algorithm based on optimal private stopping rule

Reference 36

Resolution
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raw_fallback, observed 2026-08-15T23:13:18.656227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.294620Z digest=sha256:e717154f63c7028b24200535fe4d950c62e5417c2856b1a34b621ad6b69f8890

Observation 135747fd-25bc-4759-92ff-342cfb95d6b7 · outbound

This paper cites Differentially private contextual linear bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Differentially private contextual linear bandits

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.643799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.297903Z digest=sha256:2521eaf723d87be30b22cbaea58cb1bac251d9609cd45509dc55a192b0ad4847

Observation e33369dd-1c42-42be-82cf-d9a41ff44065 · outbound

This paper cites Multi-armed bandits in recommendation systems: A survey of the state-of-the-art and future directions.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Multi-armed bandits in recommendation systems: A survey of the state-of-the-art and future directions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T23:13:18.301373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.301373Z digest=sha256:8b869761652c5bc1e418bbdb0b187e3a1f382a020147c84a9a91d1e669686bde

Observation 077f46b8-aa5f-48f4-8813-1245e80b1d95 · outbound

This paper cites Differentially private multi-armed bandits in the shuffle model.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Differentially private multi-armed bandits in the shuffle model

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T23:13:18.304863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.304863Z digest=sha256:93739d1e52a5d9c8af0c489ac2f854abb8acf1a29e2714ee2d998697cd379b06

Observation bdb0831a-e607-4505-8f68-6da8f3af65d1 · outbound

This paper cites ( N early) optimal algorithms for private online learning in full-information and bandit settings.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy ( N early) optimal algorithms for private online learning in full-information and bandit settings

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.615608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.309102Z digest=sha256:da84eb5a9d0e196d662b412fe9707478c944124113e29bb7ab38d50a5842442a

Observation 3ddd9f12-7b17-414c-ba3e-5fe7575f6e9e · outbound

This paper cites On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy On the likelihood that one unknown probability exceeds another in view of the evidence of two samples

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T23:13:18.312700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.312700Z digest=sha256:203eaffd446d1265eeef672198c8d92eb95786f36c2c72dae247ca11305015ef

Observation 33878494-9992-40c3-8c27-323cb7fcddee · outbound

This paper cites Achieving privacy in the adversarial multi-armed bandit.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Achieving privacy in the adversarial multi-armed bandit

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.593300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.316311Z digest=sha256:e9c03a8a7be6c0b946b5eeee95ff291a64784dba8896dbdc50e4dabb37fa1720

Observation c90f815d-4432-4ea9-a98c-9f8972c4363d · outbound

This paper cites Optimal learning policies for differential privacy in multi-armed bandits.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Optimal learning policies for differential privacy in multi-armed bandits

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.581062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.320350Z digest=sha256:db84a97adf31823889e02e5c000ce68aeda9fea030e519ae5b7326c55df604fe

Observation a7f92f37-1948-42cd-816f-93f04baec157 · outbound

This paper cites Locally differentially private (contextual) bandits learning.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Locally differentially private (contextual) bandits learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.567524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.324154Z digest=sha256:bab0a045976f92b5b270156ca49482b6cb0f8c93cdf28af96d9bd2937505d969

Observation a581a1e5-dc73-43dc-85c9-61091280e9c7 · outbound

This paper cites Locally differentially private (contextual) bandits learning.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Locally differentially private (contextual) bandits learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.554061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.327761Z digest=sha256:2575a7365a0f64f2188ddf4f36f0f2eac9f0b9877b8374a40eab75263cc345f9

Observation cb417913-c238-4e3c-a85b-708f478baed7 · outbound

This paper cites Optimal PAC multiple arm identification with applications to crowdsourcing.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Optimal PAC multiple arm identification with applications to crowdsourcing

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.541428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:13:18.331321Z digest=sha256:0acc632e1bcd3893dad08b864cd76944baa9ae08b2c72ec37124a721532645a1

Pith citing papers

No inbound Pith citation observations are available.