Multilateral Clearing on Invoice Graphs: Path Enabled Compensation Versus Cycle Restricted Netting
2026-06-26T08:52:20Z•b33b6b9929341ede9d50493c05a7f706cab9d4880476ebe60e543175babbcd9f
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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