Multilateral Clearing on Invoice Graphs: Path Enabled Compensation Versus Cycle Restricted Netting

2026-06-26T08:52:20Zb33b6b9929341ede9d50493c05a7f706cab9d4880476ebe60e543175babbcd9f
account-history-featuresadversarial-mlarxivbot-detectiondifferential-privacyedge-DPforest-matrixgraph-algorithmsinvoice-clearinglarge-language-modelsnetwork-sciencescalable-algorithmssigned-graphsspectral-clusteringsupply-chain-finance

What happened

Collection of arXiv CS submissions (26 Jun 2026) covering network science, graph algorithms, privacy, and adversarial ML. Key papers: (1) “Multilateral Clearing on Invoice Graphs” introduces Byppay, a path-enabled local compensation procedure that substantially increases debt relief over cycle-restricted netting (empirical evaluation on a large invoice corpus); (2) “Account-History Features for Social Bot Detection” shows account-history features (age, follower/friend ratios, profile structure) remain highly predictive (AUC≈0.977) even when adversaries rewrite text using LLMs, arguing content-

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_si
Record identifier
b33b6b9929341ede9d50493c05a7f706cab9d4880476ebe60e543175babbcd9f
Enrichment time
2026-06-26T08:52:20Z
AI-assisted enrichment
Yes

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