Avalanche consensus
E920337
Byzantine fault tolerant consensus protocol
consensus protocol family
gossip-based consensus protocol
metastable consensus protocol
probabilistic consensus protocol
Avalanche consensus is a family of probabilistic, metastable consensus protocols that achieve high throughput and fast finality for decentralized networks through repeated randomized sampling and gossip-based voting.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Avalanche consensus canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11351879 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalanche consensus Context triple: [Avalanche, consensusMechanism, Avalanche consensus]
-
A.
Paxos consensus algorithm
The Paxos consensus algorithm is a fault-tolerant protocol for achieving agreement among distributed systems, widely used as a foundation for reliable, replicated state machines and modern distributed databases.
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B.
Paxos
Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
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C.
Algorand blockchain protocol
Algorand blockchain protocol is a scalable, secure, and energy-efficient public blockchain platform designed by cryptographer Silvio Micali that uses a pure proof-of-stake consensus mechanism.
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D.
Byzantine Generals Problem
The Byzantine Generals Problem is a classic computer science and distributed systems thought experiment that illustrates the difficulty of achieving reliable consensus among participants in the presence of faulty or malicious actors.
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E.
Byzantine fault tolerance
Byzantine fault tolerance is a property of distributed systems that enables them to continue operating correctly even when some components behave arbitrarily or maliciously.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avalanche consensus Target entity description: Avalanche consensus is a family of probabilistic, metastable consensus protocols that achieve high throughput and fast finality for decentralized networks through repeated randomized sampling and gossip-based voting.
-
A.
Paxos consensus algorithm
The Paxos consensus algorithm is a fault-tolerant protocol for achieving agreement among distributed systems, widely used as a foundation for reliable, replicated state machines and modern distributed databases.
-
B.
Paxos
Paxos is a small Greek island in the Ionian Sea, known for its clear turquoise waters, olive groves, and tranquil, less-touristed atmosphere.
-
C.
Algorand blockchain protocol
Algorand blockchain protocol is a scalable, secure, and energy-efficient public blockchain platform designed by cryptographer Silvio Micali that uses a pure proof-of-stake consensus mechanism.
-
D.
Byzantine Generals Problem
The Byzantine Generals Problem is a classic computer science and distributed systems thought experiment that illustrates the difficulty of achieving reliable consensus among participants in the presence of faulty or malicious actors.
-
E.
Byzantine fault tolerance
Byzantine fault tolerance is a property of distributed systems that enables them to continue operating correctly even when some components behave arbitrarily or maliciously.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Byzantine fault tolerant consensus protocol
ⓘ
consensus protocol family ⓘ gossip-based consensus protocol ⓘ metastable consensus protocol ⓘ probabilistic consensus protocol ⓘ |
| achieves | consensus via repeated subsampled voting ⓘ |
| contrastedWith |
Nakamoto consensus
ⓘ
classical BFT consensus ⓘ |
| designedFor |
fast finality
ⓘ
high throughput ⓘ |
| developedFor | decentralized networks ⓘ |
| field |
blockchain technology
ⓘ
cryptography ⓘ distributed systems ⓘ |
| finalityType | probabilistic finality ⓘ |
| hasAdvantage |
high validator set scalability
ⓘ
low communication overhead per decision ⓘ no global leader election required ⓘ |
| hasComponent |
Avalanche voting on DAG
ⓘ
Slush subprotocol NERFINISHED ⓘ Snowball subprotocol NERFINISHED ⓘ Snowflake subprotocol ⓘ |
| hasProperty |
high scalability
ⓘ
leaderless operation ⓘ low latency finality ⓘ metastability ⓘ probabilistic safety ⓘ |
| includesProtocol |
Avalanche DAG protocol
ⓘ
Slush NERFINISHED ⓘ Snowball NERFINISHED ⓘ Snowflake NERFINISHED ⓘ |
| inspired | Avalanche protocol family NERFINISHED ⓘ |
| introducedIn | Avalanche whitepaper ⓘ |
| parameterizableProperty |
confidence threshold for decisions
ⓘ
liveness threshold ⓘ safety threshold ⓘ |
| reliesOn |
gossip network
ⓘ
random peer sampling ⓘ |
| requires | repeated sampling until confidence threshold reached ⓘ |
| securityModel | probabilistic safety with tunable parameters ⓘ |
| supports |
DAG-based ledgers
ⓘ
UTXO-based ledgers ⓘ smart contract platforms ⓘ |
| tolerates |
Byzantine failures
ⓘ
network asynchrony ⓘ |
| usedBy |
Avalanche C-Chain
NERFINISHED
ⓘ
Avalanche Primary Network NERFINISHED ⓘ Avalanche blockchain NERFINISHED ⓘ |
| usesTechnique |
gossip-based voting
ⓘ
repeated randomized sampling ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Avalanche consensus Description of subject: Avalanche consensus is a family of probabilistic, metastable consensus protocols that achieve high throughput and fast finality for decentralized networks through repeated randomized sampling and gossip-based voting.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.