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Paper Citation Record · LEDGER

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.13546.

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

pith.paper-citation-record.v1
2607.13546 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:59:33.522504Z

measured 42 of 42 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.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation ce58ecb7-bcb8-41e7-bcdb-55b886cb0c80 · outbound

This paper cites Opportunities in mobile crowd sensing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Opportunities in mobile crowd sensing,

Reference 1

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source=pdf_text observed=2026-08-02T04:59:29.107468Z digest=sha256:9583ebc69ace8f860eefe383e33506f88044a70673360567bf0c1c5082adda56

Observation 71c9b4c3-7664-45e9-b1b8-f3835b7d6aa1 · outbound

This paper cites Recommending crowdsourced software developers in consideration of skill improvement,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Recommending crowdsourced software developers in consideration of skill improvement,

Reference 2

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source=pdf_text observed=2026-08-02T04:59:29.190153Z digest=sha256:ac59607062ebc78fcbc93320590ada70f73088d7df36bbb5addbcf292e2ab0b4

Observation bfdcf53b-013f-4419-8cad-a232553035a4 · outbound

This paper cites Learning for crowdsourcing: Online dispatch for video analytics with guarantee,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Learning for crowdsourcing: Online dispatch for video analytics with guarantee,

Reference 3

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Observation 6d0d4058-0fe7-46be-9531-6033be111b80 · outbound

This paper cites Crowdsensing for emergency response in unknown envi- ronments: A rapid strategic sensing approach,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Crowdsensing for emergency response in unknown envi- ronments: A rapid strategic sensing approach,

Reference 4

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source=pdf_text observed=2026-08-02T04:59:29.404531Z digest=sha256:48db8137808999123583cea3ae8da0413998e8639b33378870150467ff9dee18

Observation f3ae2a92-2458-4a6a-9bd9-2418c8fa68a7 · outbound

This paper cites Unknown worker recruitment with long-term incentive in mobile crowdsensing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Unknown worker recruitment with long-term incentive in mobile crowdsensing,

Reference 5

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source=pdf_text observed=2026-08-02T04:59:29.565907Z digest=sha256:0a23bfe9131cb1a51683f99b27504de42f3412223c845b439a69755449cdda5a

Observation a6e6bab4-0c86-4afb-9da8-4ab464f3fabd · outbound

This paper cites Consensus-based group task assignment with social impact in spatial crowdsourcing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Consensus-based group task assignment with social impact in spatial crowdsourcing,

Reference 6

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source=pdf_text observed=2026-08-02T04:59:29.726667Z digest=sha256:de815ceb268a87810051a0eb3f4ff4023e60b5d58a10713cb362b188baf1bfc0

Observation 1bc53643-7bde-4b02-9b90-1712d2847c91 · outbound

This paper cites By the people, for the people: The crowdsourcing of.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing By the people, for the people: The crowdsourcing of

Reference 7

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source=pdf_text observed=2026-08-02T04:59:29.828050Z digest=sha256:7a978437dbdfc1f223ae222ce12e19da0da409f4942aa9e54efa2763c50ad05d

Observation 8ff7b0bd-d159-47ac-bad6-484e2ffde86c · outbound

This paper cites Noisetube: Measuring and mapping noise pollution with mobile phones,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Noisetube: Measuring and mapping noise pollution with mobile phones,

Reference 8

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source=pdf_text observed=2026-08-02T04:59:29.903029Z digest=sha256:bbacafbead823471085c4b7e3ced541797ea16421d55a4473c8d34cb5c9f403a

Observation 463d0044-930e-4af7-95fd-081d2d7fb250 · outbound

This paper cites Online mobile micro-task allocation in spatial crowdsourcing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Online mobile micro-task allocation in spatial crowdsourcing,

Reference 9

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source=pdf_text observed=2026-08-02T04:59:29.993267Z digest=sha256:c5a3e8a305d626d2711516ab07e523f0757dd57e65ef75ed77ecb545b81c3b99

Observation 557aca27-0acc-4ca5-8bff-ff40d1fca60c · outbound

This paper cites Unknown worker recruitment with budget and covering constraints for mobile crowdsensing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Unknown worker recruitment with budget and covering constraints for mobile crowdsensing,

Reference 10

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source=pdf_text observed=2026-08-02T04:59:30.101783Z digest=sha256:d6478f9a9b321c514ba1eed767f8dc56cf4c838148891f3c5e589edf92f3bd4e

Observation f2aef575-98d8-43ab-bffd-828450df0f10 · outbound

This paper cites Budgeted unknown worker recruitment for heterogeneous crowdsensing using cmab,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Budgeted unknown worker recruitment for heterogeneous crowdsensing using cmab,

Reference 11

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source=pdf_text observed=2026-08-02T04:59:30.194946Z digest=sha256:6d00a0d32fa75d3c90ca10804f0d487ef53b80c4729d44a1082b41dad7acc479

Observation 0406e0fc-b325-44d6-ac93-395637fe7a37 · outbound

This paper cites Differentially private unknown worker recruitment for mobile crowdsensing using multi-armed bandits,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Differentially private unknown worker recruitment for mobile crowdsensing using multi-armed bandits,

Reference 12

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source=pdf_text observed=2026-08-02T04:59:30.268551Z digest=sha256:e61ee04191fba05c92e967d233c81bd26f4a466fd415e46ea09de2b11abcebb1

Observation c5f54467-0668-418d-ad83-d7db6b11fdc1 · outbound

This paper cites Btv-cmab: A bi-directional trust verification-based combinatorial multiarmed bandit scheme for mobile crowdsourcing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Btv-cmab: A bi-directional trust verification-based combinatorial multiarmed bandit scheme for mobile crowdsourcing,

Reference 13

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source=pdf_text observed=2026-08-02T04:59:30.324693Z digest=sha256:87c5daa9d7aa14b3337a8e7667c9ed576ce25375313a8427cc058afb8b5241d8

Observation bfe3fec0-d69e-423e-8b0a-3836bd969704 · outbound

This paper cites Mwrs: A mab-based worker recruitment scheme with tripartite stackel- berg game for reliable mobile crowdsensing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Mwrs: A mab-based worker recruitment scheme with tripartite stackel- berg game for reliable mobile crowdsensing,

Reference 14

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source=pdf_text observed=2026-08-02T04:59:30.395777Z digest=sha256:90c981d795bf3edbb3ba3589132654d7f5faf9637022f8e23394faac697621c0

Observation b629a842-b705-4411-9be7-e14c61da3529 · outbound

This paper cites Unknown task selection and worker recruitment using two-stage multi-armed bandit in crowdsensing,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Unknown task selection and worker recruitment using two-stage multi-armed bandit in crowdsensing,

Reference 15

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source=pdf_text observed=2026-08-02T04:59:30.463225Z digest=sha256:9325ee60d17b71c3810bb0f96791ff2dba7aa9a1441f40dc1aad8acb504fc8ca

Observation a212e7e5-2e48-4939-b956-9203f85dd916 · outbound

This paper cites Social- recruiter: Dynamic incentive mechanism for mobile crowdsourc- ing worker recruitment with social networks,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Social- recruiter: Dynamic incentive mechanism for mobile crowdsourc- ing worker recruitment with social networks,

Reference 16

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source=pdf_text observed=2026-08-02T04:59:30.583687Z digest=sha256:52acb1f1a9eec7967829d861627dd67c6158e2f4e094d98bd94dbd87c677350a

Observation a90ca484-dcc3-4697-bdae-c2db5c4c17ce · outbound

This paper cites Adversarial group linear bandits and its application to collaborative edge inference,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Adversarial group linear bandits and its application to collaborative edge inference,

Reference 17

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source=pdf_text observed=2026-08-02T04:59:30.694534Z digest=sha256:39ba48e96c64536ba592512589f5f6606540f3a8daf8f121829bb8194d03c696

Observation b212fadd-ff33-454f-8065-f8498bccbfae · outbound

This paper cites Learning the optimal path and dnn partition for collabora- tive edge inference,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Learning the optimal path and dnn partition for collabora- tive edge inference,

Reference 18

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source=pdf_text observed=2026-08-02T04:59:30.773487Z digest=sha256:4e67e2f4a34069c38fa544bac6bbdc7f9cdfdfc5c3bc75fab12261f90d98e3a9

Observation 85fe1ef2-ffcd-4a4a-a041-652f278f5549 · outbound

This paper cites On upper-confidence bound poli- cies for switching bandit problems,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing On upper-confidence bound poli- cies for switching bandit problems,

Reference 19

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source=pdf_text observed=2026-08-02T04:59:30.921685Z digest=sha256:e88e6e340d25b827598579eb96ff13e3000cac933eb1d33ecbbdd177b9c580a2

Observation 7d2854c4-9ee1-4581-a092-b1932d851140 · outbound

This paper cites Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit,

Reference 20

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source=pdf_text observed=2026-08-02T04:59:31.055432Z digest=sha256:8f391002a74c0af7921c44bc117f733747ea033ab164a4e94ff84fba76469b76

Observation 7cf64eb5-70c8-498f-ae5a-9345c2a4743b · outbound

This paper cites Stochastic multi-armed-bandit problem with non-stationary rewards,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Stochastic multi-armed-bandit problem with non-stationary rewards,

Reference 21

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source=pdf_text observed=2026-08-02T04:59:31.167005Z digest=sha256:8e73f93139941b628af3d75787462bb776044d84c31c0f8043549c79e6a6a3dc

Observation f5863a12-efbb-4a11-9747-05262d59bb16 · outbound

This paper cites Weighted linear bandits for non-stationary environments,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Weighted linear bandits for non-stationary environments,

Reference 22

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source=pdf_text observed=2026-08-02T04:59:31.280229Z digest=sha256:461005175db87712e063716e67948977be43451d6a6c7a1e33a3e9e570321e04

Observation 40461077-879c-4566-98c7-190523ae1f92 · outbound

This paper cites Online learning of rested and restless bandits,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Online learning of rested and restless bandits,

Reference 23

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source=pdf_text observed=2026-08-02T04:59:31.413288Z digest=sha256:7e64caa6962804a62f9f1092d1d48bbe46a2b3684ddb0b4c12e0a4c8ccc35b3b

Observation 8e125716-baa0-4aee-9bb3-b44b3ad574f4 · outbound

This paper cites A single algo- rithm for both restless and rested rotting bandits,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing A single algo- rithm for both restless and rested rotting bandits,

Reference 24

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source=pdf_text observed=2026-08-02T04:59:31.531510Z digest=sha256:25830d1b006ea4e7227a5389dc98a481717bd35aedd376cb57adc398293f92dd

Observation 79233b73-daec-4449-8675-8c1cd69d8940 · outbound

This paper cites Rotting bandits,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Rotting bandits,

Reference 25

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source=pdf_text observed=2026-08-02T04:59:31.679280Z digest=sha256:536e6c8a2a310b8281b1cbda48abee42fd1609f605ad69fea6fa20988a56afe8

Observation 4afee367-65ab-4b42-b85e-6d9247355ae2 · outbound

This paper cites Tight policy regret bounds for improving and decaying bandits.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Tight policy regret bounds for improving and decaying bandits

Reference 26

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source=pdf_text observed=2026-08-02T04:59:31.790391Z digest=sha256:b53c8da98652d33a672429e21177e1e2ca2c4b8c368ae8bdbc86305f4660427c

Observation 8eed9d9e-f6a5-4faf-8331-616b979f0488 · outbound

This paper cites Stochastic rising bandits,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Stochastic rising bandits,

Reference 27

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source=pdf_text observed=2026-08-02T04:59:31.911947Z digest=sha256:686bd1c224d3356fe6988b60c781b02ee9b83d302bec993aa12e6005100ac0f2

Observation 52246974-fe0f-4a0f-816e-948219eb9619 · outbound

This paper cites Which llm to play? convergence-aware online model selection with time- increasing bandits,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Which llm to play? convergence-aware online model selection with time- increasing bandits,

Reference 28

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source=pdf_text observed=2026-08-02T04:59:32.017668Z digest=sha256:754016e34d57bc1943ba84b2c5919ae156cbedef299efab622e072cec126a40c

Observation 6e25d249-020e-4249-b991-36fd27b41968 · outbound

This paper cites Learning on a budget: posted price mechanisms for online procurement,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Learning on a budget: posted price mechanisms for online procurement,

Reference 29

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source=pdf_text observed=2026-08-02T04:59:32.115953Z digest=sha256:59df6fc51a3fbd4570531f54a0e7ddc0322dac23c294093a93bcaaf2043985dd

Observation 4ac474be-e159-4bed-8b79-f15319c30a29 · outbound

This paper cites Bandits with knapsacks,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Bandits with knapsacks,

Reference 30

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source=pdf_text observed=2026-08-02T04:59:32.212796Z digest=sha256:f2d8c9e7ff092018acee73ba830cef4dd6bd9259d15881c12ccb6c49452d2d0f

Observation 562a1080-cff8-46be-8fab-99e092a42544 · outbound

This paper cites Adversarial combinatorial bandits with switching cost and arm selection constraints,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Adversarial combinatorial bandits with switching cost and arm selection constraints,

Reference 31

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source=pdf_text observed=2026-08-02T04:59:32.310438Z digest=sha256:5152e12446fc3a25705e905ab91e536b262e01bd666104791e141efa74fc3131

Observation 183a8f4e-9b6d-43a2-b344-abe44d5ba796 · outbound

This paper cites Dynamic pricing with limited supply,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Dynamic pricing with limited supply,

Reference 32

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source=pdf_text observed=2026-08-02T04:59:32.417459Z digest=sha256:e31fea294e869d324bb47430f7e70f9b59f782cfa61e8e8e57211d37a6f8ced2

Observation 26272a0e-4b06-49db-8cb8-10e028b91c3f · outbound

This paper cites Truthful incentives in crowdsourcing tasks using regret minimization mechanisms,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Truthful incentives in crowdsourcing tasks using regret minimization mechanisms,

Reference 33

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source=pdf_text observed=2026-08-02T04:59:32.564387Z digest=sha256:25efc9963ff81e4fc4bdbe12fdb8b51f6927fb72372f504ce80989d5ef230c40

Observation b23425c2-30d5-4000-b1c6-516b9a721964 · outbound

This paper cites Bandits with budgets: Re- gret lower bounds and optimal algorithms,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Bandits with budgets: Re- gret lower bounds and optimal algorithms,

Reference 34

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source=pdf_text observed=2026-08-02T04:59:32.636617Z digest=sha256:9beaa102f06a12a3346e2ffae87df2f2d97df2cef73535fd3b3eea5b10226fe0

Observation 1fbeb1ab-e496-4467-882c-2ca804882cc8 · outbound

This paper cites Bandits with concave rewards and convex knapsacks,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Bandits with concave rewards and convex knapsacks,

Reference 35

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source=pdf_text observed=2026-08-02T04:59:32.719946Z digest=sha256:0e87b0fa9ca7224475e5941c63c2f67d83722a3ffd00a73c679d9e6c5db2dc53

Observation e6b69130-cbc9-46d6-a004-fd21da7273e7 · outbound

This paper cites An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives,

Reference 36

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source=pdf_text observed=2026-08-02T04:59:32.836843Z digest=sha256:3ee14e2b92768030edb55752ba83e91b47a26bdb4e606ca4ed2d43bcdc9904b1

Observation 9620121c-7bc9-402d-8bc1-07a4316a055d · outbound

This paper cites The symmetry between arms and knapsacks: A primal-dual approach for bandits with knapsacks,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing The symmetry between arms and knapsacks: A primal-dual approach for bandits with knapsacks,

Reference 37

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no resolver link, observed 2026-08-02T04:59:32.929180Z

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source=pdf_text observed=2026-08-02T04:59:32.929180Z digest=sha256:5fdf22f059ca26dc304e6c1fe408d4b8d82302d0b7cf04bc35c24109eeade355

Observation c2c9ed6a-f10a-48d8-a639-f76d0175b366 · outbound

This paper cites Adversarial bandits with knapsacks,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Adversarial bandits with knapsacks,

Reference 38

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no resolver link, observed 2026-08-02T04:59:33.091333Z

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source=pdf_text observed=2026-08-02T04:59:33.091333Z digest=sha256:96686f78f690bd8a29b15db609431682876853008ee72777d6a53ff50f9d4ac8

Observation c13d5b0a-f4a5-45ad-ad69-681995c44a53 · outbound

This paper cites Unifying the stochastic and the adversarial Bandits with Knapsack.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Unifying the stochastic and the adversarial Bandits with Knapsack

Reference 39

Resolution
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no resolver link, observed 2026-08-02T04:59:33.204091Z

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source=pdf_text observed=2026-08-02T04:59:33.204091Z digest=sha256:ee6f29df4353a7f2ccadec66986126c1e7ff2defe4bd0ae2907ead15a07fbbed

Observation 1ecc041c-bcca-4f55-90a0-6e2649033aa1 · outbound

This paper cites Non-stationary bandits with knap- sacks,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Non-stationary bandits with knap- sacks,

Reference 40

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no resolver link, observed 2026-08-02T04:59:33.308263Z

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source=pdf_text observed=2026-08-02T04:59:33.308263Z digest=sha256:bc1506f3acb6534f3a41d1044d4ccca55d297de8a708a5720345676ed8543cee

Observation 6f86d6ae-8da8-46e3-9804-f7abff0ca363 · outbound

This paper cites Flexible budgets in restless bandits: a primal-dual algorithm for efficient budget allocation,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Flexible budgets in restless bandits: a primal-dual algorithm for efficient budget allocation,

Reference 41

Resolution
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no resolver link, observed 2026-08-02T04:59:33.459917Z

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source=pdf_text observed=2026-08-02T04:59:33.459917Z digest=sha256:f7c30b68f86889a6c3787d10e18b5dd4d3dd01fe4bae398348eb6bded3c3668f

Observation dd840549-ecdc-40ea-8400-f0e173f0ea25 · outbound

This paper cites Budgeted multi-armed bandits with asymmetric confidence intervals,.

From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing Budgeted multi-armed bandits with asymmetric confidence intervals,

Reference 42

Resolution
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no resolver link, observed 2026-08-02T04:59:33.522504Z

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source=pdf_text observed=2026-08-02T04:59:33.522504Z digest=sha256:3f285bc403ecdc626f107b25dfd3b78f7dd74aa89a94b78afda82106fb5de6f2

Pith citing papers

No inbound Pith citation observations are available.