From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The abstract develops a principal-agent and organizational-economics framework for AI systems that operate as organizational agents but lack human internal disciplines such as effort cost, liability internalization, relational identity, and cultural internalization.
Scope: abstract-level organizational theory
The framework argues that organizations must substitute governance and verification for incentive-based management of deployed agents, with ex ante scope, behavior, and escalation specifications.
Scope: abstract-level AI-agent governance and organizational-design contribution
At inspection time, the public Organizations & Markets: Formal & Informal Structures all-years search for artificial intelligence displayed this work among 50 postings.
Scope: universe: filtered O&M Formal & Informal Structures listing; unit: posting; period: all years through 2026-08-20; denominator: 50 displayed postings
Under its behavioral-invariance premise, the abstract argues that incentive contracts cannot discipline operational AI behavior and that organizations must substitute verification capacity, liability-scaled governance, and ex-ante scope and escalation rules for conventional agent management.
Scope: abstract-level organizational economics model
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (0)
No in-corpus outgoing citation is available in the current enrichment coverage.
Cited by (0)
No in-corpus incoming citation is available in the current enrichment coverage.
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Abstract-level evidence only; full text was not inspected and no PDF was downloaded.
- O&M membership is evidenced by the retained public Formal & Informal Structures listing result. Its result URL is session-contextual and omits the journal_id; the retained bytes display the exact family label, query, and 50-posting denominator.
- The theory's stated boundary is agentic AI under material liability rather than low-stakes tool use.
- The abstract page is all-rights-reserved with no reuse without permission; the record paraphrases only.
- Abstract-level evidence only; full text and formal derivations not inspected.
- The claim reports implications of the paper's stated behavioral-invariance assumption and does not independently validate that assumption.
- Cross-lane re-find: recorded independently by E1-L01 and E1-L05 (same platform; identity keyed by SSRN id in REGISTRY.md).
Source independence
ssrn-only