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 analysis argues that Q-learning reaches collusive equilibria only under impractical timing and synchronization conditions, distinguishes autonomous algorithmic collusion from software implementing an explicit cartel, and proposes criteria relevant to competition oversight.
Scope: publisher-deposited abstract metadata; firm competition and competition-agency implications
The Crossref abstract examines whether competitors using Q-learning pricing algorithms can autonomously sustain collusive outcomes and develops criteria for practically relevant algorithmic collusion in competition policy.
Scope: publisher-deposited abstract-level metadata
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (2)
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 Crossref metadata only; the publisher landing page could not be retained because public retrieval was access-blocked.
- Full text was not inspected.
- Abstract-level Crossref metadata only; the publisher Articles in Advance listing returned an access challenge and was not used.
Source independence
publisher-only