Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:55:45.854240Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2607.23310.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:55:45.854240Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
87 of 87 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 85876983-1cd7-4ffc-b07d-f68059c236fb · outbound
Online Fair Division with Budget Constraints Online fair division: A survey
Reference 1
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Observation 27ca02fd-f821-46b3-844a-02356692a4ff · outbound
Online Fair Division with Budget Constraints Online fair division: Analysing a food bank problem
Reference 2
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Observation 60e20ff1-92c8-471f-9573-fad3531d720b · outbound
Online Fair Division with Budget Constraints Better collective decisions via uncertainty reduction
Reference 3
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Observation a31b890f-66fd-4b5c-a658-05381fb97fbf · outbound
Online Fair Division with Budget Constraints Online fair division for personalized 2-value instances
Reference 4
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Observation b3f0919e-7772-4e7d-9e29-53a9bbb31548 · outbound
Online Fair Division with Budget Constraints Online Fair Division Meets Reordering Buffers
Reference 5
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Observation f15339c7-4d07-490f-998a-3a274d3ca378 · outbound
Online Fair Division with Budget Constraints Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model
Reference 6
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Observation afa8c57a-946c-447d-a7ed-8cebddbec4b8 · outbound
Online Fair Division with Budget Constraints Strategyproof scheduling with predictions
Reference 7
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Observation 2276b841-3592-41f8-8a9c-2810f137d69d · outbound
Online Fair Division with Budget Constraints Online nash social welfare maxi- mization with predictions
Reference 8
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Observation bdd960a8-befc-4cf8-8afb-92821102116e · outbound
Online Fair Division with Budget Constraints Universal and tight online algorithms for generalized-mean welfare
Reference 9
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Observation 89e7ad42-653b-4d72-b161-c7f5dba3cc47 · outbound
Online Fair Division with Budget Constraints Guaranteeing envy-freeness under generalized assignment constraints
Reference 10
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Observation 8e8b5fe7-d6bb-4a04-a298-8a617dccf1af · outbound
Online Fair Division with Budget Constraints How to make envy vanish over time
Reference 11
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Observation f5cc8eec-8db3-4ba2-8661-c9b1c3eacefc · outbound
Online Fair Division with Budget Constraints Kazachkov, Ariel D
Reference 12
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Observation cde8df71-7087-4a38-b5de-76de13d441a9 · outbound
Online Fair Division with Budget Constraints Dynamic fair division with partial informa- tion.Operations Research, 73(4):1876–1896, 2025
Reference 13
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Observation a600818d-b20d-4bb0-bff3-6bf6f15326a5 · outbound
Online Fair Division with Budget Constraints The combinatorial assignment problem: Approximate competitive equilibrium from equal incomes.Journal of Political Economy, 119(6):1061–1103, 2011
Reference 14
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Observation 3b04f95c-c267-410e-8fd7-443c313ec7b0 · outbound
Online Fair Division with Budget Constraints Repeatedly matching items to agents fairly and efficiently
Reference 15
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Observation eb5d7173-2dc0-4848-a250-f33390c44f22 · outbound
Online Fair Division with Budget Constraints Envy-freeness up to any item with high nash welfare: The virtue of donating items
Reference 16
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Observation 49064e41-c549-48b2-8470-36566d9b6aca · outbound
Online Fair Division with Budget Constraints The unreasonable fairness of maximum nash welfare.ACM Transactions on Economics and Computation, 7(3):1–32, 2019
Reference 17
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Observation ba223bb1-a296-4f45-b430-4877771217a2 · outbound
Online Fair Division with Budget Constraints A little charity guarantees almost envy-freeness.SIAM Journal on Computing, 50(4):1336–1358, 2021
Reference 18
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Observation 909d4486-b184-4dbe-b263-b0dd79fe93bc · outbound
Online Fair Division with Budget Constraints Approximate proportionality in online fair division
Reference 19
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Observation 5418759a-4920-4389-a9a2-daa943ac2f1b · outbound
Online Fair Division with Budget Constraints Plant-and-steal: Truthful fair allocations via predictions
Reference 20
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Observation 8f8a11e1-9679-4c68-87bd-f9153e87f9d3 · outbound
Online Fair Division with Budget Constraints A general framework for learning-augmented online allo- cation
Reference 21
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Observation d9ac06c9-ab23-4036-88d2-01d92a1c7323 · outbound
Online Fair Division with Budget Constraints Delayed assignments in online non-centroid clustering with stochastic arrivals
Reference 22
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Observation de682bfe-9cd2-4616-ba10-d78cfa102908 · outbound
Online Fair Division with Budget Constraints Online coalitional skill formation
Reference 23
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Observation d8a87558-3878-47fa-8f98-02539adc19b4 · outbound
Online Fair Division with Budget Constraints Online learning of partitions in additively separable hedonic games
Reference 24
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Observation 6c591571-616b-4cd2-8f0d-aedc4559106b · outbound
Online Fair Division with Budget Constraints Online friends partitioning under uncertainty
Reference 25
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Observation 865da4d2-f208-49e3-9c17-4188a7e02156 · outbound
Online Fair Division with Budget Constraints Decentralized online learning by selfish agents in coalition formation
Reference 26
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Observation 161ff0cd-622a-41b9-90f5-cba1db79c930 · outbound
Online Fair Division with Budget Constraints Online learning of fair coalition structures
Reference 27
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Observation 5eaa429a-ca89-4576-ab52-fd0f52ff0ec9 · outbound
Online Fair Division with Budget Constraints Online learning of coalition structures by selfish agents
Reference 28
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Observation 0fa7cf4c-63b1-4944-9bf7-789685e40bf3 · outbound
Online Fair Division with Budget Constraints Temporal fair division
Reference 29
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Observation 85e254b7-89ce-4e23-bdb0-dbe63869ed26 · outbound
Online Fair Division with Budget Constraints Fairness in temporal slot assignment
Reference 30
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Observation eb5e80f9-b360-4040-9ca6-b57fe383c879 · outbound
Online Fair Division with Budget Constraints Fair division of chores with budget constraints
Reference 31
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Observation c4472994-2c6a-42f6-a3e9-39e048fc5e86 · outbound
Online Fair Division with Budget Constraints Temporal elections: Welfare, strategyproofness, and proportionality
Reference 32
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Observation 475a41ef-7985-4ba7-bd88-8de54aab66df · outbound
Online Fair Division with Budget Constraints Temporal fairness in multiwinner voting
Reference 33
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Observation 8d3eadbc-c6af-4423-9768-9f29c91c3a8c · outbound
Online Fair Division with Budget Constraints Temporal fair division of indivisible items
Reference 34
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Observation 7221d44a-eca6-454b-a5ec-767e6db94267 · outbound
Online Fair Division with Budget Constraints Not in my backyard! temporal voting over public chores
Reference 35
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Observation 4cca06c9-48f0-41ce-9157-5191915001bc · outbound
Online Fair Division with Budget Constraints Verifying proportionality in tem- poral voting
Reference 36
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Observation d300d88d-cc32-4475-b571-35d9db192e58 · outbound
Online Fair Division with Budget Constraints Online ad assignment with free disposal
Reference 37
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Observation cf2cb782-c385-429b-b4f3-13d7deb4d16b · outbound
Online Fair Division with Budget Constraints Dynamic fair division with minimal disrup- tions
Reference 38
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Observation f18ff1f7-edec-4c79-9856-23376f528aca · outbound
Online Fair Division with Budget Constraints Approximation algorithm for computing budget-feasible ef1 alloca- tions
Reference 39
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Observation ae45b692-f5b3-4665-9310-a8b2515fe53b · outbound
Online Fair Division with Budget Constraints Minimizing cumulative envy in allocating a sequence of items
Reference 40
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Observation 318a213a-d0a4-40e4-9baa-ef9d38c32b27 · outbound
Online Fair Division with Budget Constraints Achieving a fairer future by changing the past
Reference 41
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Observation 0c103c51-35e4-4419-8098-be8ae4852da7 · outbound
Online Fair Division with Budget Constraints How to match when all vertices arrive online
Reference 42
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Observation b9995394-314a-4fdb-bdb8-795663881b51 · outbound
Online Fair Division with Budget Constraints The long arm of Nashian allocation in onlinep-mean welfare maximization
Reference 43
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Observation 14b0e792-b5a1-4209-aacf-0b74b5f82a2f · outbound
Online Fair Division with Budget Constraints Speed is as powerful as clairvoyance.Journal of the ACM, 47 (4):617–643, 2000
Reference 44
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Observation e41d11d9-74a6-457b-8551-64a34362ee28 · outbound
Online Fair Division with Budget Constraints An optimal algorithm for on-line bipartite matching
Reference 45
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Observation d36b8f5d-1843-4d51-8c77-d1baf9a339fb · outbound
Online Fair Division with Budget Constraints Dynamic fair division problem with general valuations
Reference 46
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Observation 9f8b229d-deb7-4bf9-a62a-de56fa614131 · outbound
Online Fair Division with Budget Constraints Fairness in repeated matching: A maximin perspective
Reference 47
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Observation 9a8913fa-214d-403b-9b36-8521bc59c3b4 · outbound
Online Fair Division with Budget Constraints On approximately fair allocations of indivisible goods
Reference 48
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Observation 297f2126-9806-474f-bd73-1f71434d10ee · outbound
Online Fair Division with Budget Constraints Competitive caching with machine learned advice.Journal of the ACM, 68(4):1–25, 2021
Reference 49
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Observation d1a33321-2414-4528-a5e5-7499adba07fa · outbound
Online Fair Division with Budget Constraints John Wiley & Sons, Inc., 1990
Reference 50
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Observation ef05af6b-088d-407e-ae4c-6f62bbdad5d6 · outbound
Online Fair Division with Budget Constraints Adwords and generalized online matching.Journal of the ACM, 54(5):22–es, 2007
Reference 51
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Observation 13129d59-2423-4016-baf4-03f1b47e8e79 · outbound
Online Fair Division with Budget Constraints Cambridge University Press, 2021
Reference 52
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Observation 205a34a3-359f-4f30-b261-2c94957f7315 · outbound
Online Fair Division with Budget Constraints Understanding efx allocations: Counting and variants
Reference 53
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Observation 60bc9714-b3de-4a40-b5e8-d3c80be5c2df · outbound
Online Fair Division with Budget Constraints Online fair division with additional information
Reference 54
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Observation 98f65aff-5d8f-47a3-94df-c111297a5042 · outbound
Online Fair Division with Budget Constraints Strengthening proportionality in tem- poral voting
Reference 55
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Observation 2ca6ac69-2ed4-43c1-b948-d529a6f03efd · outbound
Online Fair Division with Budget Constraints Improving online algorithms via ml predictions
Reference 56
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Observation c6c69768-3961-421e-ade9-e3cccbeac279 · outbound
Online Fair Division with Budget Constraints Cambridge University Press, 2021
Reference 57
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Observation dd11620b-180f-404b-ae42-f61e86f2f6f6 · outbound
Online Fair Division with Budget Constraints Online ad allocation with predictions
Reference 58
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Observation b0d341e3-f90b-4396-bfd8-bab4e12817e6 · outbound
Online Fair Division with Budget Constraints Online al- gorithms for the Santa Claus problem
Reference 59
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Observation bc4f0b87-e640-4d59-ba2c-3a839ce2b4d3 · outbound
Online Fair Division with Budget Constraints Constraints in fair division.ACM SIGecom Exchanges, 19(2):46–61, 2021
Reference 60
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Observation d131236b-28e8-4a62-8ab7-117e5fc546ee · outbound
Online Fair Division with Budget Constraints The price of proportional representation in temporal voting.Proceedings of the 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026
Reference 61
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Observation b1761a61-8b6f-470d-938e-56c8d24b41c9 · outbound
Online Fair Division with Budget Constraints Two-sided online bipartite matching and vertex cover: Beating the greedy algorithm
Reference 62
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Observation 72bb9352-d8bf-457c-8e02-c4fbed472fce · outbound
Online Fair Division with Budget Constraints Online fair allocations with binary valuations and beyond
Reference 63
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Observation 73e2537a-0f8b-49a1-a1a7-89920d62dbba · outbound
Online Fair Division with Budget Constraints Budget-feasible maximum nash social welfare is almost envy-free
Reference 64
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Observation 01c6b301-6c6d-4cff-955d-2a51570101bb · outbound
Online Fair Division with Budget Constraints Multiwinner temporal voting with aversion to change
Reference 65
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Observation e0d86246-1b48-4bc2-bd40-76b395d66b37 · outbound
Online Fair Division with Budget Constraints Fairness-efficiency tradeoffs in dynamic fair division
Reference 66
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Observation c9514e1d-d347-45d4-bc98-bb83c014b86b · outbound
Online Fair Division with Budget Constraints Multi-agent online scheduling: Mms allocations for indivisible items
Reference 67
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Observation 2c688bb9-0c12-4d87-883b-87baa9441648 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 68
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Observation 3a6df822-2428-459b-8808-1eb015076f0e · outbound
Online Fair Division with Budget Constraints Our learning-augmented framework differs fundamentally from these approaches
Reference 69
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Observation 01d71fb8-2a5c-470d-8e1f-e77f507c1067 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 70
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Observation c91ff2dd-d6a4-4b2a-a19c-12a0a40a6b13 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 71
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Observation c4cfaba1-d3cd-4dc2-b158-2c73e2a350d4 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 72
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Observation 7805584b-a7ea-4db8-81c8-6539005db158 · outbound
Online Fair Division with Budget Constraints The algorithm is told the valid boundγ
Reference 73
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Observation 854ed216-203b-4224-b75f-a419d8ee4dae · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 74
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Observation 2bebae3b-48e7-4702-9c46-32ef847e1aec · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 75
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Observation 12a26ab1-1753-47eb-bf6d-fc42423c9bb5 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 76
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Observation 775ef066-2016-4e30-bad5-5b6838c3f682 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 77
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Observation e6c6234c-f0d4-4141-bcf3-aece618abf8b · outbound
Online Fair Division with Budget Constraints The statement holds both when the horizon is announced before the first arrival and when it is not announced
Reference 78
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Observation 40855f60-ca18-4926-bd75-0d86ba5c98e9 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 79
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Observation 02e3dba4-a7a1-4bcc-a678-7b187555288b · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 80
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Observation 91db6a53-b5bb-4636-aa90-8422706c2102 · outbound
Online Fair Division with Budget Constraints ifs i(g)≤ εBi for alli, g, then AUG-GREEDYFIT(ε)is exactly FEF1
Reference 81
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Observation 766757af-647c-4145-a819-09b9c50a04b6 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 82
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Observation 2c1121b6-13c8-4690-9a0a-122528b34bfe · outbound
Online Fair Division with Budget Constraints The valueρ min is supplied in the original numerical scale of the instance
Reference 83
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Observation 210fb0a6-df34-45d9-842c-20f3dd3ebee4 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 84
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Observation 16bd8077-010d-4260-a3b8-7614dcb3d1da · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 85
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Observation 31298520-cbc0-4470-aa4b-bd59814c0da2 · outbound
Online Fair Division with Budget Constraints Unresolved cited work
Reference 86
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Observation 998a1017-46ca-41bf-9fdb-644c8adc0b65 · outbound
Online Fair Division with Budget Constraints Proof.We reduce the claimed lower bound to the frontier lower bound of Theorem E.4 by scaling every value by the advised minimum density
Reference 87
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No inbound Pith citation observations are available.