| name | smartsnap-agents |
| title | SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents |
| version | 0.0.2 |
| engine | skillxiv-v0.0.2-claude-opus-4.6 |
| license | MIT |
| url | https://arxiv.org/abs/2512.22322 |
| keywords | ["agents","verification","self-improvement","evidence-gathering"] |
| description | Shift agent verification from post-hoc external judgment to proactive in-situ self-evidence curation. Agents generate atomic evidence tuples during execution, guided by 3C principles (Completeness, Conciseness, Creativity), with structured verifier feedback across four dimensions—reducing verification costs and enabling dense learning signals. |
Overview
SmartSnap enables agents to prove their success rather than waiting for external verification.
Core Technique
3C Evidence Principles:
evidence = agent.gather_evidence(
completeness=include_all_pivotal_actions,
conciseness=minimize_redundancy,
creativity=generate_additional_proof_actions
)
Evidence Definition:
Atomic (action, observation) tuples—objective facts.
When to Use
Use when: Agent verification critical, reducing cognitive load, dense learning signals.
References
- Proactive evidence gathering
- Atomic evidence definition
- Structured verifier feedback
