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arxiv: 1907.09289 · v1 · pith:3RAEOWVFnew · submitted 2019-07-22 · 💻 cs.DC

Properties of Decentralized Consensus Technology -- Why not every Blockchain is a Blockchain

Pith reviewed 2026-05-24 18:04 UTC · model grok-4.3

classification 💻 cs.DC
keywords decentralized consensus technologyblockchaindecentralized ledger technologydecentralizationtrustlessnessconsensustaxonomyproperties
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The pith

Not every system achieving decentralized consensus qualifies as blockchain technology; blockchain is one implementation of decentralized ledger technology within the broader category of decentralized consensus technology.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper contends that inconsistent terminology in blockchain research makes it unclear which new systems still qualify as blockchains. It proposes Decentralized Consensus Technology as the general category that includes both ledger-based and non-ledger systems capable of decentralization, trustlessness, and eventual consensus. Blockchain technology is defined as only one of multiple possible implementations of decentralized ledger technology. The authors list three core characteristics plus a set of use-case-dependent properties that implementations must satisfy. This structure is offered to bring order to a field where terms lack shared meaning.

Core claim

We propose to use the term Decentralized Consensus Technology as a general category instead. Decentralized Consensus Technology consists of decentralized ledger and non-ledger technologies. Blockchain technology in turn is only one of multiple implementations of the Decentralized Ledger Technology. Furthermore, we identified three main characteristics of Decentralized Consensus Technology: decentralization, trustlessness and ability to eventually reach consensus. Depending on the use case of the specific implementation the following additional properties have to be considered: privacy, participation incentive, irreversibility and immutability, operation purpose, confirmation time, and so on.

What carries the argument

The nested taxonomy that places blockchain as one implementation inside decentralized ledger technology, which itself sits inside the umbrella category of decentralized consensus technology.

If this is right

  • Systems that achieve the three core characteristics without using ledgers still belong under decentralized consensus technology.
  • Only specific ledger-based implementations should receive the label blockchain.
  • Each implementation must be assessed against the additional properties such as privacy and scalability that vary by use case.
  • New approaches that challenge the original Bitcoin design can be described accurately without forcing them into the blockchain label.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Standardizing on this hierarchy could reduce mislabeling when papers compare ledger and non-ledger consensus systems.
  • Application designers might deliberately select non-ledger variants when full immutability is unnecessary.
  • The classification invites mapping existing projects to test whether the three core characteristics plus the listed properties cover all relevant cases.

Load-bearing premise

Current research lacks a commonly shared knowledge and consensus about the terms used to describe the technology and its properties.

What would settle it

A broad survey of recent literature that finds consistent, precise usage of the term blockchain across differing implementations would remove the stated motivation for introducing a new umbrella category.

Figures

Figures reproduced from arXiv: 1907.09289 by Christopher Ehmke, Florian Blum, Volker Gruhn.

Figure 1
Figure 1. Figure 1: Average Bitcoin transaction fee in USD according to https:// bitinfocharts.com/comparison/bitcoin-transactionfees.html (visited 2019-01-21) follow a process also described in form of a BIP2 . The idea of BIPs is that new ideas are discussed in discussion groups growing in size until they reach the whole community. At that point the network members are able to vote in favor (or against) such an improvement … view at source ↗
Figure 2
Figure 2. Figure 2: Size of the Bitcoin blockchain in MB according to https://www.blockchain.com/ de/charts/blocks-size (visited on 2019-01-21) Other approaches like sidechains and off-chaining (as explained in the following section) propose to reduce the number of operations required to be executed on the main chain and therefore would help to slow down the growing of the chain. Nevertheless, new participants would still nee… view at source ↗
Figure 3
Figure 3. Figure 3: Distinction between centralized, decentralized and distributed systems according to Baran (Figure taken from [17]) Event though there is ongoing research trying to develop consensus mechanisms that cannot be outsourced to mining pools [52] and that are not easily adaptable for specialized hardware [151,117], it still has to be questioned whether the current networks can handle specific attacks while the co… view at source ↗
Figure 4
Figure 4. Figure 4: Decentralized Consensus Technology and its subsets 4.1 Differentiation of Distributed Ledger Technology We described before that a lot of projects and innovations are based on Bitcoin￾like blockchain technology but sometimes modify important properties of the original concept. Nevertheless, they are very often still described with term blockchain technology. While this is probably correct in some cases, th… view at source ↗
read the original abstract

Research in the field of blockchain technology and applications is increasing at a fast pace. Although the Bitcoin whitepaper by Nakamoto is already ten years old, the field can still be seen as immature and at an early stage. Current research in this area is lacking a commonly shared knowledge and consensus about terms used to describe the technology and its properties. At the same time this research is challenging fundamental aspects of the Bitcoin core concept. It has to be questioned whether all of these new approaches still adequately could be described as blockchain technology. We propose to use the term Decentralized Consensus Technology as a general category instead. Decentralized Consensus Technology consists of decentralized ledger and non-ledger technologies. Blockchain technology in turn is only one of multiple implementations of the Decentralized Ledger Technology. Furthermore, we identified three main characteristics of Decentralized Consensus Technology: decentralization, trustlessness and ability to eventually reach consensus. Depending on the use case of the specific implementation the following additional properties have to be considered: privacy, participation incentive, irreversibility and immutability, operation purpose, confirmation time, transaction costs, ability to externalize transactions and computations and scalability possibilities.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript argues that blockchain research lacks shared consensus on terminology and proposes 'Decentralized Consensus Technology' (DCT) as a general category. DCT consists of decentralized ledger technologies (DLT) and non-ledger technologies, with blockchain as one implementation of DLT. It identifies three main characteristics—decentralization, trustlessness, and ability to eventually reach consensus—plus use-case-dependent properties including privacy, participation incentive, irreversibility and immutability, operation purpose, confirmation time, transaction costs, ability to externalize transactions and computations, and scalability possibilities.

Significance. If the proposed distinctions prove useful, the hierarchical framing could reduce terminological ambiguity in distributed consensus research. The paper offers no empirical validation, examples, or comparisons, so any significance would depend on subsequent adoption and testing by the community.

major comments (2)
  1. [Abstract] Abstract: The central motivation—that 'Current research in this area is lacking a commonly shared knowledge and consensus about terms'—is asserted without evidence, survey data, or citation analysis. This premise is load-bearing for the decision to introduce new terminology.
  2. [Abstract] Abstract: No formal definitions are supplied for DCT, DLT, or the three core characteristics, and the text contains no concrete examples or side-by-side comparison with existing implementations to demonstrate why these three traits are primary or why the new category improves on prior usage.
minor comments (1)
  1. [Abstract] Abstract: Minor phrasing issue—'adequately could be described' should be re-ordered to 'could adequately be described' for grammatical clarity.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the detailed and constructive feedback. We address each major comment below, indicating where we agree that revisions are warranted.

read point-by-point responses
  1. Referee: [Abstract] Abstract: The central motivation—that 'Current research in this area is lacking a commonly shared knowledge and consensus about terms'—is asserted without evidence, survey data, or citation analysis. This premise is load-bearing for the decision to introduce new terminology.

    Authors: We acknowledge that the manuscript states this premise without accompanying survey data, citation analysis, or explicit examples of terminological inconsistency. While the observation arises from our examination of the literature, we agree that the claim would benefit from concrete support. We will revise the abstract and introduction to include specific references and brief illustrations of divergent usage in the field. revision: yes

  2. Referee: [Abstract] Abstract: No formal definitions are supplied for DCT, DLT, or the three core characteristics, and the text contains no concrete examples or side-by-side comparison with existing implementations to demonstrate why these three traits are primary or why the new category improves on prior usage.

    Authors: The provided abstract is intentionally concise and does not contain formal definitions or comparative examples. We agree that the absence of these elements limits the clarity of the proposed framework. In the revised manuscript we will supply concise formal definitions for DCT, DLT, and the three core characteristics, together with brief illustrative examples drawn from existing systems to justify the selection of those characteristics and the utility of the new category. revision: yes

Circularity Check

0 steps flagged

Terminology proposal contains no derivational or predictive claims

full rationale

The manuscript is a definitional taxonomy paper. It states the motivation (lack of shared terminology) and proposes new category names (DCT > DLT > blockchain) plus a list of properties. No equations, fitted parameters, predictions, or derivations exist that could reduce to inputs by construction. No self-citations are used to justify any uniqueness theorem or ansatz. The central proposal is therefore self-contained and does not exhibit any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 1 invented entities

The paper is a conceptual proposal without mathematical derivations or data; the ledger records the definitional assumptions and the newly introduced category.

axioms (1)
  • domain assumption Current research in this area is lacking a commonly shared knowledge and consensus about terms used to describe the technology and its properties.
    Stated directly in the abstract as the motivation for the new terminology.
invented entities (1)
  • Decentralized Consensus Technology no independent evidence
    purpose: Umbrella category that groups decentralized ledger technologies and non-ledger technologies.
    New term and category introduced by the authors without reference to prior usage or external validation.

pith-pipeline@v0.9.0 · 5731 in / 1398 out tokens · 45083 ms · 2026-05-24T18:04:41.181444+00:00 · methodology

discussion (0)

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Reference graph

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