Checkpointverify
Checkpointverify is a protocol and software framework for validating the integrity and provenance of checkpoints across distributed systems and data pipelines. It aims to ensure that saved states, whether model weights, database snapshots, or application progress, can be reproduced and trusted during recovery or audits. The framework combines cryptographic attestations, metadata standards, and pluggable storage backends to establish end-to-end verification.
Core capabilities include checkpoint creation with embedded metadata, cryptographic digests, and optional time-stamped attestations from trusted
The architecture typically comprises a checkpointing module, a verifier module, an attestation authority, and an immutable
Use cases span machine learning training pipelines that require reproducible checkpoints, fault-tolerant databases with crash-consistent snapshots,
Security and limitations: checkpointverify relies on cryptographic primitives and trusted attestations. Its effectiveness depends on secure