Paper Citation Record · LEDGER

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.10305.

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

pith.paper-citation-record.v1
2607.10305 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:46:51.615514Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation 20c8b36a-a156-4618-a27a-35eae1cd53f0 · outbound

This paper cites The Blocklace: A Byzantine-repelling and Universal Conflict-free Replicated Data Type.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation The Blocklace: A Byzantine-repelling and Universal Conflict-free Replicated Data Type

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation a1ac8cd2-6da8-4116-9c34-c500c538dabb · outbound

This paper cites Delta state replicated data types.Journal of Parallel and Distributed Computing, 111:162–173, 2018.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Delta state replicated data types.Journal of Parallel and Distributed Computing, 111:162–173, 2018

Reference 2

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Observation 2f8a3384-00e9-43e7-b743-43c5aafa6939 · outbound

This paper cites Composition in state-based replicated data types.Bulletin of the European Association for Theoretical Computer Science (EATCS), 123, 2017.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Composition in state-based replicated data types.Bulletin of the European Association for Theoretical Computer Science (EATCS), 123, 2017

Reference 3

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Observation 2f7f8b84-d43c-4b44-a53d-559a261520ff · outbound

This paper cites A little is enough: Circumventing defenses for distributed learning.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation A little is enough: Circumventing defenses for distributed learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation 369faebf-9a89-4778-8e83-392a06fea553 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Machine learning with adversaries: Byzantine tolerant gradient descent

Reference 5

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Observation 9151d816-2b58-4dfe-9f95-2b752d6f75f7 · outbound

This paper cites A Composable CRDT Layer for Byzantine-Resilient Deterministic Reconstruction.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation A Composable CRDT Layer for Byzantine-Resilient Deterministic Reconstruction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation 59fb55b2-e688-434f-809f-220eb7da77cc · outbound

This paper cites Decoupling Trust in Byzantine CRDTs: Fine-grained Post-Compromise Handling without Breaking Causality.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Decoupling Trust in Byzantine CRDTs: Fine-grained Post-Compromise Handling without Breaking Causality

Reference 7

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Observation 318d76c2-dc45-4689-86c5-9e658e68da6b · outbound

This paper cites Casper the Friendly Finality Gadget.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Casper the Friendly Finality Gadget

Reference 8

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Observation cb1d1ae2-3cd4-414b-ad6e-5877f93344f5 · outbound

This paper cites Díaz-Redondo, and Manuel Fernández-Veiga.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Díaz-Redondo, and Manuel Fernández-Veiga

Reference 9

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Observation 21310feb-8de2-4acb-b686-30982bdd9d88 · outbound

This paper cites FLTrust: Byzantine-robust federated learning via trust bootstrapping.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation FLTrust: Byzantine-robust federated learning via trust bootstrapping

Reference 10

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Observation 6b63cb6b-8220-4555-8f6e-32be17896328 · outbound

This paper cites Polygraph: Accountable Byzantine agreement.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Polygraph: Accountable Byzantine agreement

Reference 11

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Observation 5651a182-23ed-430f-90c3-7c656843287f · outbound

This paper cites Marczak, Peter Alvaro, Joseph M.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Marczak, Peter Alvaro, Joseph M

Reference 12

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Observation 3491a310-ffaf-4989-b470-2fde10643319 · outbound

This paper cites Accountability and reconfiguration: Self-healing lattice agreement.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Accountability and reconfiguration: Self-healing lattice agreement

Reference 13

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Observation f0278b83-5d49-4811-9f4d-097ab9002b12 · outbound

This paper cites Lynch, Shlomit S.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Lynch, Shlomit S

Reference 14

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Observation f05a57ea-6304-4234-a165-48f9392853ae · outbound

This paper cites DiLoCo: Distributed Low-Communication Training of Language Models.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation DiLoCo: Distributed Low-Communication Training of Language Models

Reference 15

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Observation 2ccf3d4c-6a64-417a-8aee-d488e1a29209 · outbound

This paper cites Byzantine-robust federated learning over ring-all-reduce distributed computing.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Byzantine-robust federated learning over ring-all-reduce distributed computing

Reference 16

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Observation 95b24731-526f-4c61-8bfc-b88fb5c424ea · outbound

This paper cites Byzantine-robust decentralized federated learning.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Byzantine-robust decentralized federated learning

Reference 17

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Observation 52afce48-8341-425f-a9ae-b13ba66ef11b · outbound

This paper cites Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation 0a403477-b8fe-4461-b919-e17d8c80a089 · outbound

This paper cites Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies

Reference 19

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Observation 4dd65d63-ad6e-49b2-8eba-20926caeb149 · outbound

This paper cites Recursive trust-as-data binding for byzantine fault tolerant conflict-free replicated data type synchronisation, 2026.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Recursive trust-as-data binding for byzantine fault tolerant conflict-free replicated data type synchronisation, 2026

Reference 20

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Observation 685f814b-71cf-45f1-bceb-b7660fa35aa2 · outbound

This paper cites What every computer scientist should know about floating-point arithmetic.ACM Computing Surveys, 23(1):5–48, 1991.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation What every computer scientist should know about floating-point arithmetic.ACM Computing Surveys, 23(1):5–48, 1991

Reference 21

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Observation 3df96249-afaf-4388-838f-ebab53da10ce · outbound

This paper cites PeerReview: Practical accountability for distributed systems.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation PeerReview: Practical accountability for distributed systems

Reference 22

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Observation c157c4f7-7c97-4e92-8a5b-170d7131677b · outbound

This paper cites Hellerstein and Peter Alvaro.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Hellerstein and Peter Alvaro

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation e0d05fe8-88c7-4de8-8af4-765553990e4d · outbound

This paper cites an unresolved cited work.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Unresolved cited work

Reference 24

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Observation 111334e0-305d-4ea2-b18b-27d7b11812f6 · outbound

This paper cites On Conflict-Free Replicated Data Types and Equivocation in Byzantine Setups.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation On Conflict-Free Replicated Data Types and Equivocation in Byzantine Setups

Reference 25

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Observation 45930c07-0286-44fc-bb73-0ad6cdcbc42a · outbound

This paper cites Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G

Reference 26

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Observation 193acae6-4d7d-4bfb-9d69-b51552551354 · outbound

This paper cites Making CRDTs Byzantine fault tolerant.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Making CRDTs Byzantine fault tolerant

Reference 27

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Observation 7146c9b4-ef16-4ac6-b70a-301054c98b8c · outbound

This paper cites Stich, and Martin Jaggi.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Stich, and Martin Jaggi

Reference 28

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Observation d1665da5-795d-4058-9874-08b0a52af80b · outbound

This paper cites an unresolved cited work.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Unresolved cited work

Reference 29

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Observation 3c7b0550-439e-4117-8413-e01cac903a62 · outbound

This paper cites Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent

Reference 30

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Observation 7b4914e3-064d-4027-b86b-802d7da28709 · outbound

This paper cites Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Agüera y Arcas.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Agüera y Arcas

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation dfb64928-79ef-4b37-80d4-d3a4e0fab81d · outbound

This paper cites The hidden vulnerability of distributed learning in Byzantium.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation The hidden vulnerability of distributed learning in Byzantium

Reference 32

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Observation f8eb4913-d28d-42c0-9e24-9e477f193dc5 · outbound

This paper cites Rundungsfehleranalyse einiger verfahren zur summation endlicher summen.Zeitschrift für Angewandte Mathematik und Mechanik (ZAMM), 54(1):39–51, 1974.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Rundungsfehleranalyse einiger verfahren zur summation endlicher summen.Zeitschrift für Angewandte Mathematik und Mechanik (ZAMM), 54(1):39–51, 1974

Reference 33

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Observation 7c6361a0-3527-4b32-a2eb-531ab9833c6d · outbound

This paper cites Improve accuracy of builtin sum() for float inputs (compensated summation, CPython 3.12).

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Improve accuracy of builtin sum() for float inputs (compensated summation, CPython 3.12)

Reference 34

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Observation 738f1a6d-9023-4365-babf-f64c8b2e53c7 · outbound

This paper cites Merkle-CRDTs: Merkle-DAGs meet CRDTs.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Merkle-CRDTs: Merkle-DAGs meet CRDTs

Reference 35

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Observation 538526a3-1f99-4df3-925b-63b6b579eb61 · outbound

This paper cites A comprehensive study of convergent and commutative replicated data types.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation A comprehensive study of convergent and commutative replicated data types

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation 87850374-04b5-46ee-b4bf-3e7bc9c737f8 · outbound

This paper cites Conflict-free replicated data types.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Conflict-free replicated data types

Reference 37

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Observation 83c00413-ce15-4464-a706-caf9f217f6ef · outbound

This paper cites Manipulating the Byzantine: Optimizing model poisoning attacks and defenses for federated learning.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Manipulating the Byzantine: Optimizing model poisoning attacks and defenses for federated learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T12:46:51.615514Z

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Observation 622c970b-f95d-43f9-af5e-e01c4338603f · outbound

This paper cites Eventually consistent.Communications of the ACM, 52(1):40–44, 2009.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Eventually consistent.Communications of the ACM, 52(1):40–44, 2009

Reference 39

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Observation f1164290-277d-453e-a7e2-e9dd51395c90 · outbound

This paper cites Byzantine-resilient decentralized stochastic optimization with robust aggregation rules.IEEE Transactions on Signal Processing, 71:3179–3195, 2023.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Byzantine-resilient decentralized stochastic optimization with robust aggregation rules.IEEE Transactions on Signal Processing, 71:3179–3195, 2023

Reference 40

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Observation c5f4a9d0-312c-47fa-8421-39ceb2a43ff9 · outbound

This paper cites Bartlett.

Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation Bartlett

Reference 41

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