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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
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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.149617Z digest=sha256:758304a77818a65af9409d6a759e0ebb65ca7964622f41d8531fd26c09d5875a

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
raw_fallback, observed 2026-08-15T23:13:18.927795Z

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:cc1ba21b2c2de06ab33929a92ba655cc91d94b6472742148166ef23c84ab5922

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:fc85a7e22ad913162a0995300a04fdefe1c9eb2f430996fc7976e873773d635c

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=sha256:54876dc625d8784919bccd824f65231947d4c9d35e492f493271f9e52e8a7f68

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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no resolver link, observed 2026-08-15T23:13:18.171493Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.171493Z digest=sha256:00855f05a1bf2dac4f896d7dd8c51944eafe045f4d2924f9d957f00504a500df

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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no resolver link, observed 2026-08-15T23:13:18.176626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.176626Z digest=sha256:c94989463d77f648625d9b5fd115e08b18cf655d4e366a8e89d320da2f962c8d

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:e91fc1564def92ff6786c53f9d7d0182a22164eeb40d18ea3bac350b5dc9afd4

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:a45e10f01f59fe1a62019c52f76cf4aaadfa8e2dcf88da0941b8d90667e0acec

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:eb5ad3f54dc73a2bd997569fb1ba91ac39b421002847ca32dc9c24cdb9833f8d

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:b46d0657fba6d3ca5ddd1cb51c661388456902a968f78f7751fd9a467ff5a4e3

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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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:a774a0d792ecfedf1e7c453b9401a08ee392b0d61a00e2c67bede2b5e7996dd6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.203297Z digest=sha256:a2f3457232dfb30b06615a535354181a48556848e5e8b185e18d724b2b9103d8

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:ecf89704388eeca39b09adabcdac1d433088686ce37c3c816069c6cd61c7e842

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

Resolution
verified fuzzy
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=sha256:21f6daa5ce30c0050065195cbb6e471cf801aa4dcbe670b57af505dd1dc7a139

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:f27601c3e71c5c9db439e02d7a1386d4df2929e44e0338b917dd2b13cbb843ea

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

This paper cites Rothblum.

Optimal Regret of Bernoulli Bandits under Global Differential Privacy Rothblum

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-15T23:13:18.837521Z

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=sha256:823b724abd342f4d79e77520247fbd6c5cf1a8aa6d68455686cc22b5d9904f10

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

Resolution
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=sha256:8a2db7b06ca26a5da4931e58860f5e2a0fcc1a8e72db2d2fff2d349d4f0b7f48

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:fccd2fe4cce7aed6e2ab385da1a6b811395b8181d43cb3a204095d611c928c1a

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:eb71360d4f4948342816e9abe0c014b434863f0a357842d45b914a18072e8b0b

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=sha256:8017e40543026ff538ebdb0495d50db5868ac1894222b7271350fc71133d46ad

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=sha256:98b846ab2b0485415162c19bff6c49b3a2da1e386947febb80414bf27bad3493

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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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:c5c94c581f446c234b209c2c5978ae866489a8b74e5ad607c045c7817dd23092

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:e8d81750f309985eb269de9e5f3a3c3de6c3eea9280042a6e8011bb53b302bc8

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=sha256:69e079ea2e3211326eb14dac3b7d97093cd120f1f481b4a10e0d119007dacce6

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=sha256:7f758c60a9d5758e0d6a9ebf460903551c1adf9c10eb122c61263c3db76b21be

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:13:18.257266Z digest=sha256:875c4145ddc3391baf626148da50bd21d6ab9a9fb5e7c58c85bfb483b728498c

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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unresolved
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=sha256:4d320fb46e75b3ab7d434e5812d4ab18ff448e3103c642a3e081868706cb1967

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

Resolution
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=sha256:23d950900bfd217d2388e3e7384f9425c8669eaca975ad47721e22af1d3079b3

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=sha256:0414a97bc20340a8a52dbde867e933acdfd7f5f47ab9d35ec24ff7ef5f85013d

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:b6749e2839e25ccd0267b9608f1a0fee59985d7df0c59e57b6790cae3c7ca3b0

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

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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=sha256:1920f48f24e42f69a0c4dcd4ae0e67d49e2ee37839f19e2bb62a58a396d4e39f

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=sha256:335ce2913c28a6976a03e4695b813befffebe29e2ff2aa04ee2b13b6d4f68ec5

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=sha256:61bbc67a2c467ebb07834b8913533cd7a68bb19ec9440654fcbc2f095bcde886

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=sha256:62e7edccadafbc9be6a245caf5ff4b6ae24f89e161444b1623a5311d7c4a4911

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
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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=sha256:1b6a1dea295e1ee5913774ec35458a87b0b63cb20ede4e148639376d72094be7

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
verified fuzzy
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=sha256:6939566242881113e571a78e1121ecd4b20f6e926c11b0642522d0b84286dce3

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=sha256:15688bb32f34fdf19af7ddc76b794ef243056d754499b12b76c4588b0d67d08d

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=sha256:18938fc5ab80eb3163f9cab2d93314ecbc0b09c0a6ef36a22b84bf8c3a497d84

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=sha256:16e83a511a4dcb5ab8f78310b4ffe7ca254dbd61d4fbb780534f3d002b3c1734

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=sha256:23a112962e574ee553163c9715d19988732db214283f29ca36d4c68e5d847b9b

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=sha256:0efd570ce45e004d475c202517fda0f192c2873d401d8580662e11d10615e4fa

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=sha256:75b570dce0ee924839ef971f19e1d8f1dd00eb242706d47253ca7c154f7cde54

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=sha256:8c5d2a6e6a7ef6e6128e647f1f7c4b51219ca8cf0f3bb9c80186a752b3eb4b39

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=sha256:126b98f1dc4df3ff969f46bde5f512dd76b0f9f64582291277ba47ceb9b9a921

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=sha256:6ef1ca16df0fe73bcf8f294dcf04614634b8ca6111121fea1953facfd29fa9cb

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=sha256:05d1db8503832c8df75792ad6c21d8b734f5903ac81ed5acf3fda9fd5c83cf06

Pith citing papers

No inbound Pith citation observations are available.