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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Causal Loop Integrity for Observable-Only Backcasting: Strong No-Meta Supplement (Operational Core)

Authors: Takahashi, K;

Causal Loop Integrity for Observable-Only Backcasting: Strong No-Meta Supplement (Operational Core)

Abstract

Causal Loop Integrity for Observable-Only Backcasting: Strong No-Meta Supplement (Operational Core)This paper specifies an operational core for Observable-Only Backcasting under No-Meta autonomy: agents coordinate and self-verify without relying on privileged judges, hidden ground truth, or subjective authority.It provides a deterministic, fail-closed framework for causal-loop integrity when “future-conditioned” constraints are used to gate present actions. The specification introduces: (i) wire profiles and a commit/open protocol with signed commitments; (ii) a proof-system registry and canonical hashing rules (including RFC 8785 JSON canonicalization and a Hashable Numeric Encoding) to prevent cross-implementation divergence; (iii) evidence-tiered time anchors carried as separate evidence packets, with pinned conversion rules, inclusion proofs, and witness/log allowlists; (iv) an escrow binding mechanism defined purely by observable constraints; and (v) deterministic action-hash generation with explicit input binding to make audits reproducible. A key security goal is injection safety: third-party injection of malformed anchoring evidence must not invalidate correctly signed packets. The resulting protocol suite is intended for audit-ready deployments of autonomous agents and multi-agent systems that require strong reproducibility, transparent evidence handling, and adversarial robustness without assuming a global evaluator.

Keywords

escrow binding, Artificial intelligence, witness quorum, no-meta autonomy, time anchors, commit-reveal, intersubjective contracts, deterministic replay, AI safety, transparency log, Observable-only, backcasting, adversarial robustness, multi-agent systems, auditability, fail-closed safety, causal loop integrity, action hashing, proof-carrying data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green