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Paper Citation Record · LEDGER

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.01934.

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

pith.paper-citation-record.v1
2608.01934 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:09:30.372948Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

31 of 31 outbound references displayed

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  • verified fuzzy21
  • unresolved6
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External citation measurements

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Outbound references

Observation 6ddc942d-881b-4c03-bdf0-38a36717cc3b · outbound

This paper cites Towards robust distributed systems,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Towards robust distributed systems,

Reference 1

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4bb4eb36-9237-4189-a082-42f411c95853 · outbound

This paper cites Brewer’s conjecture and the feasibility of consistent, available, partition-tolerant web services,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Brewer’s conjecture and the feasibility of consistent, available, partition-tolerant web services,

Reference 2

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Observation 184b792c-b637-4671-b43c-e4f503a7bf91 · outbound

This paper cites Bitcoin: A peer-to-peer electronic cash system,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Bitcoin: A peer-to-peer electronic cash system,

Reference 3

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Observation 42443870-61be-47e6-8911-5217cabf8f06 · outbound

This paper cites Gasper (LMD GHOST + Casper FFG) Consen- sus Specifications,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Gasper (LMD GHOST + Casper FFG) Consen- sus Specifications,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5872e78c-04ea-4dae-bd28-6326501f64f9 · outbound

This paper cites Aptos White Paper,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Aptos White Paper,

Reference 5

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7e4cd75e-8913-4677-a736-ff1c7bec1959 · outbound

This paper cites Sui: A New Layer 1 Protocol,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Sui: A New Layer 1 Protocol,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ca221e75-d008-4824-b172-30c1b94f3a40 · outbound

This paper cites HyperCore Overview,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions HyperCore Overview,

Reference 7

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee0f9ef1-8631-4098-be40-123aa1d08858 · outbound

This paper cites Solana: A New Architecture for a High Performance Blockchain,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Solana: A New Architecture for a High Performance Blockchain,

Reference 8

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raw_fallback, observed 2026-08-15T15:09:30.828718Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 288df7a0-7be0-4ff6-b364-68dd02e13aed · outbound

This paper cites MonadBFT: Fast, Responsive, Fork-Resistant Streamlined Consensus.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions MonadBFT: Fast, Responsive, Fork-Resistant Streamlined Consensus

Reference 9

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local_arxiv, observed 2026-08-15T15:09:30.659199Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6fd312b5-e821-4387-a284-268220a12d6a · outbound

This paper cites Practical Byzantine fault tolerance,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Practical Byzantine fault tolerance,

Reference 10

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Observation d136fe63-d70c-475e-8273-f52d8e7429c5 · outbound

This paper cites HotStuff: BFT consensus in the lens of blockchain,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions HotStuff: BFT consensus in the lens of blockchain,

Reference 11

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e88c60b4-537e-4bf0-a0ea-1cb7203c0cb7 · outbound

This paper cites Node repository and validator guide,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Node repository and validator guide,

Reference 12

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9ab95f07-355d-4e4e-a294-9910ddb9c9ca · outbound

This paper cites Revisiting Optimal Resilience of Fast Byzantine Consensus (Extended Version).

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Revisiting Optimal Resilience of Fast Byzantine Consensus (Extended Version)

Reference 13

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9ba9ecfb-693c-426e-b6d8-9cb5f9819a57 · outbound

This paper cites Tendermint: Byzantine fault tolerance in the age of blockchains,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Tendermint: Byzantine fault tolerance in the age of blockchains,

Reference 14

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 92d64079-5d64-4975-a122-442d7c90d0d8 · outbound

This paper cites The Libra Blockchain,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions The Libra Blockchain,

Reference 15

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Observation 6a72f785-c59b-4265-8fc4-aed02e0f30cf · outbound

This paper cites Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18a53abe-99b5-4b33-af83-e6d02e5b1cc4 · outbound

This paper cites DiemBFT v4 Technical Documentation,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions DiemBFT v4 Technical Documentation,

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4b8ca3c4-8117-4171-94dd-be6815e0e07a · outbound

This paper cites Nar- whal and Tusk: A DAG-based mempool and efficient BFT consensus,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Nar- whal and Tusk: A DAG-based mempool and efficient BFT consensus,

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7f6b1f51-b602-421e-88cd-63bb4d180e2d · outbound

This paper cites AIP-26: Quorum Store,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions AIP-26: Quorum Store,

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a1b23f8d-8e66-499f-8665-321a21fd6125 · outbound

This paper cites Bullshark: DAG BFT protocols made practical,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Bullshark: DAG BFT protocols made practical,

Reference 20

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 81464f7e-c587-4503-a6df-8661d8c1f3ac · outbound

This paper cites AIP-89: Consensus Latency Reduction using Order V otes.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions AIP-89: Consensus Latency Reduction using Order V otes

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d963579b-e8ef-41b9-b6dc-0f3986dd281d · outbound

This paper cites Raptr: Prefix Consensus for Robust High-Performance BFT.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Raptr: Prefix Consensus for Robust High-Performance BFT

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6bb455f3-2763-4e66-85e4-86ebc0593469 · outbound

This paper cites Baby Raptr Is Here: a New Era of Consensus Begins,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Baby Raptr Is Here: a New Era of Consensus Begins,

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e9584177-933a-4ff6-b34e-02e0a7f60d84 · outbound

This paper cites A performance analysis of consensus time for blockchains,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions A performance analysis of consensus time for blockchains,

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d511c97e-a44a-4436-a6b5-bfdc867a112d · outbound

This paper cites Delay analysis of BFT consensus: Case study of Narwhal and Bullshark protocols,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Delay analysis of BFT consensus: Case study of Narwhal and Bullshark protocols,

Reference 25

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Observation e631e592-d6ce-47d2-bca9-5f9591214fa1 · outbound

This paper cites Dissecting the performance of chained-BFT,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Dissecting the performance of chained-BFT,

Reference 26

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Observation f4988068-6a51-40e1-b22b-17756f59bc5b · outbound

This paper cites Theoretical analysis on block time distributions in Byzan- tine fault–tolerant consensus blockchains,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Theoretical analysis on block time distributions in Byzan- tine fault–tolerant consensus blockchains,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08d4339c-7e5d-4ad8-adb4-2e31debcf511 · outbound

This paper cites Mitigation and resurgence of the scalability trilemma: Mathematical analysis for optimal sharding in dual–layer Byzantine fault–tolerant blockchains,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Mitigation and resurgence of the scalability trilemma: Mathematical analysis for optimal sharding in dual–layer Byzantine fault–tolerant blockchains,

Reference 28

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e81d50d8-be10-457d-9803-ecde005ceefd · outbound

This paper cites Mathematical modelling of dual–layer Byzantine fault– tolerant consensus process for optimal sharding and mitigation of blockchain trilemma,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Mathematical modelling of dual–layer Byzantine fault– tolerant consensus process for optimal sharding and mitigation of blockchain trilemma,

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:09:30.365676Z digest=sha256:c22004271729510a39a817c192e25d191f99b03e4f2ea2db4085a5812fec1094

Observation 009e285c-4756-4efb-a851-0cce534f1781 · outbound

This paper cites Exploring the universality of finality time in proof- of-stake blockchains: Empirical analysis and mathematical formula- tion of size-synchrony antagonism,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Exploring the universality of finality time in proof- of-stake blockchains: Empirical analysis and mathematical formula- tion of size-synchrony antagonism,

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:09:30.369402Z digest=sha256:3f39311bee2d9ede28c71221f05ea7a54112a94ab0da76d8090e43d74308b16c

Observation 791d9a18-7feb-45d8-a2f9-bdf74fda9059 · outbound

This paper cites Staking – Technical Details,.

Diagnosing High-Performance BFT Consensus via Mixture Modeling of Block Time Distributions Staking – Technical Details,

Reference 31

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.