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Paper Citation Record · LEDGER

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.23772.

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

pith.paper-citation-record.v1
2607.23772 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T13:04:57.830044Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

27 of 27 outbound references displayed

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Outbound references

Observation 292e00d5-667e-4dc9-977e-e99210b0a42b · outbound

This paper cites Restless bandits: Activity allocation in a changing world,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Restless bandits: Activity allocation in a changing world,

Reference 1

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source=pdf_text observed=2026-07-30T13:04:57.641650Z digest=sha256:50136429ebbe602174bb24a21ab4fd917bf99c26f2612a80f0123e6954673426

Observation 3dc3e7b6-4aea-4055-8d4b-851f5aea452c · outbound

This paper cites On an index policy for restless bandits,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling On an index policy for restless bandits,

Reference 2

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source=pdf_text observed=2026-07-30T13:04:57.647271Z digest=sha256:64d5c3fdee760370338b9541efd03a0150a0434990a703d85fcbb7862dad7197

Observation a9a4583d-2302-403c-a073-a02bb6cffd43 · outbound

This paper cites Rested and restless bandits with constrained arms and hidden states: Applications in social networks and 5g networks,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Rested and restless bandits with constrained arms and hidden states: Applications in social networks and 5g networks,

Reference 3

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Observation c3e3060d-a669-4f9c-81ac-aa570dda3e13 · outbound

This paper cites Scheduling algorithms for minimizing age of information in wireless broadcast networks with random arrivals,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Scheduling algorithms for minimizing age of information in wireless broadcast networks with random arrivals,

Reference 4

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Observation 1a0109c4-c729-4b04-86aa-cb6facd3368e · outbound

This paper cites Fresh caching of dynamic contents using restless multi-armed bandits over wireless access,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Fresh caching of dynamic contents using restless multi-armed bandits over wireless access,

Reference 5

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source=pdf_text observed=2026-07-30T13:04:57.659990Z digest=sha256:d58ddb4403575ae83c6804317a2e9175e7707338344cf750cdf1ed9d30d64cb5

Observation 421a9cc4-8592-4545-bb3a-260fe0943cf1 · outbound

This paper cites Deadline scheduling as restless bandits,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Deadline scheduling as restless bandits,

Reference 6

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source=pdf_text observed=2026-07-30T13:04:57.664989Z digest=sha256:8d4660fb33fa82ee87f5dd98e9fbf5f065ca003c4acc9a4366777d87eb29399b

Observation eeee6898-53a5-4704-87d0-cce586e31532 · outbound

This paper cites Index policies for real-time multicast scheduling for wireless broadcast systems,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Index policies for real-time multicast scheduling for wireless broadcast systems,

Reference 7

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Observation 782a9ce8-b9a1-487b-9a6a-053e3c1b9d82 · outbound

This paper cites Scheduling policies for minimizing age of information in broadcast wireless networks,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Scheduling policies for minimizing age of information in broadcast wireless networks,

Reference 8

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source=pdf_text observed=2026-07-30T13:04:57.674790Z digest=sha256:96828dc58a3cbbc14441c5d31d2147cb4be05b8ade4d3e167640314f29aeed42

Observation a83331a4-2a64-444a-b3b9-cc8635d815de · outbound

This paper cites Towards Soft Fairness in Restless Multi-Armed Bandits.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Towards Soft Fairness in Restless Multi-Armed Bandits

Reference 9

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Observation b4f6804b-4924-49dc-bc6d-88e4c07ff71e · outbound

This paper cites Fairness for workers who pull the arms: An index based policy for allocation of restless bandit tasks,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Fairness for workers who pull the arms: An index based policy for allocation of restless bandit tasks,

Reference 10

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source=pdf_text observed=2026-07-30T13:04:57.726376Z digest=sha256:531427f906c391d88aeae3aa1c3a98522656264a0d53d650f26dbd4d2777c3a1

Observation c73bfd2c-605c-4bf3-a773-1a16636e5fd4 · outbound

This paper cites Online restless multi-armed bandits with long-term fairness constraints,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Online restless multi-armed bandits with long-term fairness constraints,

Reference 11

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Observation 29f52f0d-8fc4-452b-9f5a-6c8d47a0675a · outbound

This paper cites Time-constrained restless multi-armed bandits with applications to city service scheduling.,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Time-constrained restless multi-armed bandits with applications to city service scheduling.,

Reference 12

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source=pdf_text observed=2026-07-30T13:04:57.752035Z digest=sha256:1435d7bf9467edd874e38e7cbd9270218e86a41d6048919170354ed351d8247e

Observation d0a6c02c-1f7f-4c42-98bc-59f5a7ef43cb · outbound

This paper cites Fair scheduling with deadline guarantees in single-hop networks,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Fair scheduling with deadline guarantees in single-hop networks,

Reference 13

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Observation 651cf250-2aef-49cc-a714-95d0e8135627 · outbound

This paper cites A theory of QoS for wireless,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling A theory of QoS for wireless,

Reference 14

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source=pdf_text observed=2026-07-30T13:04:57.760195Z digest=sha256:66b80a0b36a3441d6e92f03c25528ae2705ee5bf88deebd485395f3a3df52f6e

Observation b15e6458-2ea1-401f-ade8-74f0267103cf · outbound

This paper cites Scheduling heterogeneous real- time traffic over fading wireless channels,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Scheduling heterogeneous real- time traffic over fading wireless channels,

Reference 15

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source=pdf_text observed=2026-07-30T13:04:57.763928Z digest=sha256:f87d0e0fae6501f9d0396d8e241b2025c37d0aae564745cd9028fd8567a1cc4f

Observation 3b63509b-0f92-47a2-8ea0-551b00c04b9a · outbound

This paper cites Scheduling multicast traffic with deadlines in wireless networks,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Scheduling multicast traffic with deadlines in wireless networks,

Reference 16

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Observation 56cc651c-856e-4494-adae-ca499aba587b · outbound

This paper cites On an information and control architecture for future electric energy systems,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling On an information and control architecture for future electric energy systems,

Reference 17

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source=pdf_text observed=2026-07-30T13:04:57.771608Z digest=sha256:c9e7941e7b000ac594372ce3a65371c51209578a6e85c2dbc8e55c8ea5306002

Observation 54cfad24-1d22-4735-9d34-f8c2403c5c21 · outbound

This paper cites Indexability of Finite State Restless Multi-Armed Bandit and Rollout Policy.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Indexability of Finite State Restless Multi-Armed Bandit and Rollout Policy

Reference 18

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Observation 3b1027ac-ad17-4934-8bed-fa352d732c1f · outbound

This paper cites Constrained restless bandits for dynamic scheduling in cyber-physical systems,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Constrained restless bandits for dynamic scheduling in cyber-physical systems,

Reference 19

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Observation 2975f932-430f-47e3-bade-1917da317ebe · outbound

This paper cites Lagrangian index policy for restless bandits with average reward,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Lagrangian index policy for restless bandits with average reward,

Reference 20

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Observation d9b47ad7-fdff-4fbb-8446-25df243de98d · outbound

This paper cites Simulation based algorithms for Markov decision processes and multi-action restless bandits,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Simulation based algorithms for Markov decision processes and multi-action restless bandits,

Reference 21

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source=pdf_text observed=2026-07-30T13:04:57.795417Z digest=sha256:914244b5a8ce07f8dcae8fae035e6fe9acd1fd2b9a562c44777eb0a85becdc9f

Observation dcdd18a1-70d6-4517-9a86-a18259a609fc · outbound

This paper cites Scheduling heterogeneous real-time traffic over fading wireless channels,.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Scheduling heterogeneous real-time traffic over fading wireless channels,

Reference 22

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Observation 142a871a-9b33-490e-867f-d9c61f7ff458 · outbound

This paper cites Here,F: Z+ →R + is an increasing function satisfyingF(0) = 0.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Here,F: Z+ →R + is an increasing function satisfyingF(0) = 0

Reference 23

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source=pdf_text observed=2026-07-30T13:04:57.812406Z digest=sha256:9892078a2f641d2578629e60db90a97c1f08b1adac7644b4d91210947de31445

Observation 56bbb0ad-0da1-4462-8a9d-0cc759e16b76 · outbound

This paper cites Since these resources do not produce a completed job, the scheduler incurs the additional penalty r(i) waste =−z ki Ei[t].

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Since these resources do not produce a completed job, the scheduler incurs the additional penalty r(i) waste =−z ki Ei[t]

Reference 24

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Observation cb932fac-cbb8-49ee-a960-b1ea1074f0d6 · outbound

This paper cites The scheduler then selects theMjobs with the largest values.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling The scheduler then selects theMjobs with the largest values

Reference 25

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Observation 19abd5bb-83f2-482b-8e62-67386a987b53 · outbound

This paper cites an unresolved cited work.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling Unresolved cited work

Reference 26

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Observation c25ae2d1-f6a5-4581-b2d7-0ce3e88d245d · outbound

This paper cites There are two classes are considered.

Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling There are two classes are considered

Reference 27

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Pith citing papers

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