pith. sign in

Integrity report for FluidViews: Adaptive Drag-and-Drop Token Filters for Heterogeneous Multi-View Visual Analytics

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2606.18260 · pith:2026:TLVFEQ5OXQREBE6D3ANH4PN2GX

0Critical
0Advisory
0Detectors run
Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/TLVFEQ5O/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.