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Paper Citation Record · LEDGER

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.02196.

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

pith.paper-citation-record.v1
2607.02196 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T08:21:32.803474Z

measured 45 of 45 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

45 of 45 outbound references displayed

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  • unresolved45
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 06b62fc2-4e2e-479c-8674-02b85ff7fd42 · outbound

This paper cites A dynamic near-optimal algorithm for online linear programming.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy A dynamic near-optimal algorithm for online linear programming

Reference 1

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:8d61accd6aa5c17ee3826a7413de9887a62aad6d290c257f6188f92bdc2c25f8

Observation 55a170f2-72a9-4761-a5fc-431c955c56f0 · outbound

This paper cites Uniformly bounded regret in the multisecretary problem.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Uniformly bounded regret in the multisecretary problem

Reference 2

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:368c879d337538f714ba0e8e1b39327a3325cd3e73f6db5e5e48f5bf56e59e36

Observation ae43fcc2-4351-4bd3-a299-b2f588a52895 · outbound

This paper cites Logarithmic regret in the dynamic and stochastic knapsack problem with equal rewards.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Logarithmic regret in the dynamic and stochastic knapsack problem with equal rewards

Reference 3

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:60b7678b8ac872318d28713841b3dd268dff697a6c480cc8247e37c4ab11ea14

Observation ac11a49d-c919-4b6d-b191-b11b572515e0 · outbound

This paper cites Online resource allocation with limited flexibility.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Online resource allocation with limited flexibility

Reference 4

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:f06cc0243ebd79ba0a7c60d4d1393332af4ce893f3895dfe29ca861d65b8dd19

Observation efdfd2ce-fb83-4761-b8f8-ccf759d0b8c9 · outbound

This paper cites Balseiro, Omar Besbes, and Dana Pizarro.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Balseiro, Omar Besbes, and Dana Pizarro

Reference 5

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:5037ce76054037b8092737471d8ca25d11b6da9125f61bd02b575eb8a8d161c7

Observation 84b02f8a-6863-4aee-b51d-551bef93728d · outbound

This paper cites Balseiro, Haihao Lu, and Vahab Mirrokni.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Balseiro, Haihao Lu, and Vahab Mirrokni

Reference 6

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:e49e300a0075abddd5a5037c6cf9fff835288deeba702158f07eaaf49fdffd16

Observation 12281ac2-8024-46a0-9566-1a799c47722a · outbound

This paper cites Good prophets know when the end is near.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Good prophets know when the end is near

Reference 7

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:d5b42f912abfd942a9590f80e0efb1122577561130e577a96bb0f4a1edf52d4d

Observation 032649d3-36cc-49b1-9e04-2bc6b463a1c4 · outbound

This paper cites Dynamic resource allocation: Algorithmic design principles and spectrum of achievable performances.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Dynamic resource allocation: Algorithmic design principles and spectrum of achievable performances

Reference 8

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:dc4e9a23e20fca8774fbcda10f5815deae5c9939ae26ee42bfa09e8d5fb34857

Observation f8cc1901-0f6a-4e6f-b9bf-76e1dce762ca · outbound

This paper cites Improved approximation results for stochastic knapsack problems.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Improved approximation results for stochastic knapsack problems

Reference 9

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:93f3ae70d96f5c28b9db2dd1e2ce806893d87acc53497276e854750ba8b43c4d

Observation 96f03208-2a2f-487c-ad12-3a1f7d445762 · outbound

This paper cites an unresolved cited work.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:c7d94e6fe23460fe8d47eda1d6adc7c36f3e92084ac8090d6f6c5da8cd3c5c75

Observation dc83fc8c-911f-4b84-909c-3c696878cecb · outbound

This paper cites an unresolved cited work.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:21ef27749ccf9bc5afa82fdabec4c45fed751a4e8255b87a548cf5c3d357273b

Observation 8b28d44c-f467-49b6-b532-a51095cbf552 · outbound

This paper cites A re-solving heuristic with uniformly bounded loss for network revenue management.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy A re-solving heuristic with uniformly bounded loss for network revenue management

Reference 12

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:61934c0814500c56f52bcc1cdffd410871aa85f489a53c12566a8b4b823596d6

Observation 08ca6405-d075-4974-aee0-e154b3d764d4 · outbound

This paper cites Hoffman constant of the argmin mapping in linear optimization.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Hoffman constant of the argmin mapping in linear optimization

Reference 13

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:abd20da976ede182c135cc9b952483471fc46e03a8e5cd40e60656c842034102

Observation d39ed004-1d57-4374-bf48-697caf5fe02b · outbound

This paper cites Beyond Non-Degeneracy: Revisiting Certainty Equivalent Heuristic for Online Linear Programming.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Beyond Non-Degeneracy: Revisiting Certainty Equivalent Heuristic for Online Linear Programming

Reference 14

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Observation 0251c4a3-ab09-4b78-9f30-8bc037ac4a09 · outbound

This paper cites Dean, Michel X.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Dean, Michel X

Reference 15

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:f9cd4e97e35bd1b233022a9e6bf2d70f1336e7a4f42d5b3c76a9f621305917c4

Observation 570ac01e-170c-4b39-86e1-a27aa9bba321 · outbound

This paper cites Dean, Michel X.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Dean, Michel X

Reference 16

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:5df7143721942ab469ce06785242d64c846e2cdd5958f0ff9e0b9a4518919afd

Observation 76a31428-c7cb-4492-adbf-be851bd87e47 · outbound

This paper cites Prophet inequalities made easy: Stochastic optimization by pricing nonstochastic inputs.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Prophet inequalities made easy: Stochastic optimization by pricing nonstochastic inputs

Reference 17

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:16b1760a94a0d299d4ab8f345a6a15875f7365c56fe1258e0bd41812c3837b8c

Observation e2d70063-950a-402b-9eea-1eb31a3b71ed · outbound

This paper cites Overbooking with bounded loss.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Overbooking with bounded loss

Reference 18

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:c8bca3988a4ea6285675e0006e4d6bfcb91d8e361b77ba5ba79bd509bf78b1f5

Observation 697b2808-1c26-4f4c-8573-f334078c1ae5 · outbound

This paper cites Optimal dynamic pricing of inventories with stochastic demand over finite horizons.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Optimal dynamic pricing of inventories with stochastic demand over finite horizons

Reference 19

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:018219d8a794eb60d3a745ddfc30b34c8c5ae97f51710f4c5dd519301321ece0

Observation 91b3cfdc-4b7d-4ca4-bd3a-d3d244fe751d · outbound

This paper cites Beyond $\mathcal{O}(\sqrt{T})$ Regret: Decoupling Learning and Decision-making in Online Linear Programming.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Beyond $\mathcal{O}(\sqrt{T})$ Regret: Decoupling Learning and Decision-making in Online Linear Programming

Reference 20

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:4673970c4ddcf06e9ee3e069059b0a4e4ce50aff6ae5a7f7a66ef1dd140d5a67

Observation 66e2a349-d140-436f-804d-a0ffa1d873d7 · outbound

This paper cites Greedy algorithm for multiway matching with bounded regret.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Greedy algorithm for multiway matching with bounded regret

Reference 21

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:045dac752d72ec69e9b3c801b26b8dd4c6984cb24a8d6201fda014562d02fdee

Observation 89db4ad5-c488-476f-976c-0e154273a44c · outbound

This paper cites an unresolved cited work.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:06ecfefd05297f0b3cb878e8c5b051c3257ccdf2657b8ba9ac64402797a9e8ee

Observation 0d4f9a85-b9ad-4038-a71e-f7a535459780 · outbound

This paper cites an unresolved cited work.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:f30f4e4d2c98ca14cb6a69fc8f5c126f02830ed3a4e993259db7299c16a64203

Observation 7b821906-5861-4d18-aff8-deed0e6d8633 · outbound

This paper cites A re-solving heuristic with bounded revenue loss for network revenue management with customer choice.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy A re-solving heuristic with bounded revenue loss for network revenue management with customer choice

Reference 24

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:69f173efb30e0cb9d65f78b5c46def46c260612b8b1ea6e81693ad57fa91ae80

Observation 3dd89b36-e3ed-4843-ad62-65725decbe36 · outbound

This paper cites Online stochastic optimization with W asserstein-based nonstationarity.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Online stochastic optimization with W asserstein-based nonstationarity

Reference 25

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:5adf91fd97731259c6ac481d0ec8ac36e8df771f613542dda4ea442d4cb7f709

Observation 65382b1d-1135-457d-a1ac-225fb5214bba · outbound

This paper cites Degeneracy is OK : Logarithmic regret for network revenue management with indiscrete distributions.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Degeneracy is OK : Logarithmic regret for network revenue management with indiscrete distributions

Reference 26

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:597f7676bf26711baaaa20c5fbdfcd3716328580fd9588350986af75dfb2de11

Observation 1d5d3899-1e11-457a-9b56-dca763b4058f · outbound

This paper cites Tight guarantees for multi-unit prophet inequalities and online stochastic knapsack.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Tight guarantees for multi-unit prophet inequalities and online stochastic knapsack

Reference 27

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:7e20300d39a278dd156c5395ef9cf107712a5617d68585805f68115f91df0697

Observation 2bcd161a-8f10-454a-86e4-302aeae59746 · outbound

This paper cites Online Resource Allocation with Stochastic Resource Consumption.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Online Resource Allocation with Stochastic Resource Consumption

Reference 28

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Observation 9c937094-252f-4f15-90dc-2eb427b9c119 · outbound

This paper cites o nnis, and Berthold V \.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy o nnis, and Berthold V \

Reference 29

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:017520ae822fcdb5e77b966b174c14334390323f5d26fda3cdee0acf6e4623d5

Observation b06f832b-dc46-4e0f-89e7-37ec79011b69 · outbound

This paper cites Kleywegt and Jason D.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Kleywegt and Jason D

Reference 30

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:c449b5ff3ebb0d03322a8e96a7978a67824ba374ca887a7cb2979d2a4d2b57e9

Observation dda6f0ba-edd8-46a8-b932-b64751edd310 · outbound

This paper cites Kleywegt and Jason D.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Kleywegt and Jason D

Reference 31

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:f7941df09c7c073725ad7a6ca757d3a2d3c399333b77ab370cd44370d382c158

Observation 37d4b69c-0b4d-4265-826a-66f99b68e153 · outbound

This paper cites Online linear programming: Dual convergence, new algorithms, and regret bounds.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Online linear programming: Dual convergence, new algorithms, and regret bounds

Reference 32

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:0870233775696781f20c1769c02423176e199fc8c5d5e42f153b6c17f52c7de9

Observation 4c18ea83-eac4-474a-8758-0bea978ad0d7 · outbound

This paper cites Simple and fast algorithm for binary integer and online linear programming.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Simple and fast algorithm for binary integer and online linear programming

Reference 33

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:1ac0ca5c4c301f293a588798b48b2a24ac5f7dbde600620198cc9caf8b27d971

Observation 4116f3d1-3038-4c25-af89-2829055100c4 · outbound

This paper cites Infrequent resolving algorithm for online linear programming.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Infrequent resolving algorithm for online linear programming

Reference 34

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:641f8ca536588adaf933b89ebe1ed3c4cbb70aa663c06eb69ffadf03625ae6a8

Observation c5891d7a-3d58-4c2e-ac4f-003d0fd21fee · outbound

This paper cites an unresolved cited work.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:10b02b79f97805c858c1f51e585b73ddc93d5cd5c76fa22dfcc675a0ed7f4747

Observation 75b46e74-ecca-4fcf-bd0a-1938b59225a7 · outbound

This paper cites Improvements and generalizations of stochastic knapsack and M arkovian bandit approximation algorithms.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Improvements and generalizations of stochastic knapsack and M arkovian bandit approximation algorithms

Reference 36

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:98932731007aa2c69761cc53e0b418da95141c806d2ec6845d5ae468112af8ac

Observation 5d1c02a8-42de-4920-943d-68e18f272b4e · outbound

This paper cites an unresolved cited work.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:3bb0fe39956918708c523cf9f2c597d4d5f85ee0ab0f4c4d5644cf5e1adfd469

Observation ddd579c0-78fc-4bdf-8425-2a49b6f65bd1 · outbound

This paper cites Stochastic on-line knapsack problems.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Stochastic on-line knapsack problems

Reference 38

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:b757d36fdb0bc9b7412a938ee5d6e9e0afebfb89f41eb8d30df90cc33d8b6879

Observation 1aeb4f46-dd1c-4036-9ef8-aede7639dfbf · outbound

This paper cites Reiman and Qiong Wang.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Reiman and Qiong Wang

Reference 39

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:40549b8f44bd53785890f514439312705dc9bd98e74da2c3d31b47d4bdbe0d5e

Observation 58d058a2-bb1f-4adc-af0c-58fdc23dbf05 · outbound

This paper cites Talluri and Garrett J.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Talluri and Garrett J

Reference 40

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:22d40ecfc4a975d975f536481d77890288e2b93c4a665d396ed3139050208b03

Observation 27ee0987-3d69-40e6-a502-814813bf3f88 · outbound

This paper cites The Bayesian prophet: A low-regret framework for online decision making.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy The Bayesian prophet: A low-regret framework for online decision making

Reference 41

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:3201f489f76165a1e804376e0404d3e5c8e333ba92dabe69d7a77f05a9414162

Observation a14d482b-9a5d-4dd5-b4e9-fee43e58cc14 · outbound

This paper cites Online allocation and pricing: Constant regret via B ellman inequalities.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Online allocation and pricing: Constant regret via B ellman inequalities

Reference 42

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:7fc4e190fceacc391aa897a898af40e6186868a21f378e5c152a88562aff5e7f

Observation 9ecb5143-cf3b-4194-ba9b-d6ec8519db4f · outbound

This paper cites an unresolved cited work.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:b836991bd1a8642b9c1a6540d0ee823a22d4320510db345a94c88a5957b73652

Observation 07bf562c-7033-4017-b5e8-5b851b771ffe · outbound

This paper cites Tight lower bounds for the multi-secretary problem via B ellman certificates.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Tight lower bounds for the multi-secretary problem via B ellman certificates

Reference 44

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:18cb8aceb021cca16a398324c645ff6b09c2ce8966f3190b46c21e4af2b17b23

Observation a8c2cbc6-399b-4555-8e65-5ecace90b989 · outbound

This paper cites Online resource allocation with continuously distributed reward and consumption: unknown distributions case.

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy Online resource allocation with continuously distributed reward and consumption: unknown distributions case

Reference 45

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source=arxiv_source observed=2026-07-12T08:21:32.803474Z digest=sha256:3a79a4c034c8b1a677950dcb22dc3b014d3a5812e30c4a50110dd7dae9f1394e

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