Pith. sign in

REVIEW 1 cited by

Staggering and Fragmentation for Improved Large Message Handling in libp2p GossipSub

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2504.10365 v1 pith:VKBCH4WS submitted 2025-04-14 cs.NI

classification cs.NI
keywords gossipsublargemessageefficienthandlingimprovementslibp2pmesh
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

The libp2p GossipSub protocol leverages a full-message mesh with a lower node degree and a more densely connected metadata-only (gossip) mesh. This combination allows an efficient dissemination of messages in unstructured peer-to-peer (P2P) networks. However, GossipSub needs to consider message size, which is crucial for the efficient operation of many applications, such as handling large Ethereum blocks. This paper proposes modifications to improve GossipSub's performance when transmitting large messages. We evaluate the proposed improvements using the shadow simulator. Our results show that the proposed improvements significantly enhance GossipSub's performance for large message transmissions in sizeable networks.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. PREAMBLE and IMRECEIVING for Improved Large Message Handling in libp2p GossipSub

    cs.NI 2025-05 conditional novelty 6.0 of 10

    A proposed extension to libp2p GossipSub that uses PREAMBLE and IMRECEIVING notifications to reduce duplicate large-message transmissions, cutting reported bandwidth by up to 61% and dissemination latency by up to 35%...

Pith tools