| paper | d4-journals-geb-2004-0005 |
| authors | — |
| venue | ? |
| filed under | unclassified |
| judged by | gpt-6-luna / xhigh (triple__luna__xhigh__c6r1) |
| judge confidence | high |
| authors would recognise it | unclear |
The proponent concedes that the paper supplies no named computational result and that a computation problem for stable sets would be a new project, not a mirror of a result here. The publisher’s description likewise identifies the contribution as results on stable sets and forward induction, not a computational claim ([article page](https://www.sciencedirect.com/science/article/pii/S0899825603001489)).
fails bit a — no named computational result to mirror
No computational result is covered; the paper’s forward-induction and stable-set analysis remains unmirrored.
I can’t give an anchor-based affirmative case: the paper has no numbered result asserting a computational complexity classification or algorithmic bound. Its contribution concerns forward induction and stable sets in a citizen-candidate model; the abstract describes results on stable sets, not computational results. [The publisher’s article page](https://www.sciencedirect.com/science/article/pii/S0899825603001489) confirms that focus. So there is no qualifying anchor, and no continuous problem per anchor to state. Treating an equilibrium or stable-set theorem as a computational result would overstate the paper.
There is a plausible starting point for a *new* question: represent a large electorate by a distribution over complete citizen types, such as preference and candidacy-cost types, and ask how the forward-induction stable-set analysis changes with the type masses. Many citizens sharing relatively few types is a natural regime. But this is not yet a defined computational problem or a mirror of a named result. In an atomless electorate, an individual vote or candidacy decision may have no effect on the outcome; defining the stable-set concept for the resulting game would itself require substantial modelling choices.
The strongest honest positive case is therefore only a research direction. Its weakest point is decisive for this assignment: the paper gives no computational anchor from which to formulate the requested continuous problem or predict its complexity class.
The affirmative case identifies the decisive gap: it offers no named computational result to mirror. The paper studies a multistage citizen-candidate game in which citizens decide whether to run and then vote; its stated contribution concerns forward induction and Mertens stable sets. It gives no algorithm, complexity classification, or computational problem. A generic question about computing stable sets could be attached to many equilibrium papers, but that would be a new computational project, not a mirror of a result here. [Publisher’s description](https://www.sciencedirect.com/science/article/pii/S0899825603001489)
The strongest version of the proposed direction would give voter types masses \(\mu\), retain a finite set of possible candidates, and ask how the stable-set analysis varies with those masses. That is a coherent hybrid model, and a high-multiplicity electorate may be sensible. But the paper’s forward-induction question turns on an individual citizen’s discrete decision to enter. In an atomless society, a citizen has zero voting mass; preserving their discrete candidacy decision requires keeping candidate citizens as separate players. Alternatively, letting a type’s mass enter changes the deviation being assessed from an individual’s entry to mass-level entry. Either formulation may motivate new work, but neither supplies a computational anchor from this paper.
The negative case is strong against calling this paper a ChoCo mirror. It is weaker as the universal claim that no worthwhile continuous computational project could grow from it: the hybrid model could be interesting to game theorists. The paper itself gives no reason to treat that added computation as part of its contribution.
The adversarial triple: the proponent anchors on up to three named results; the opponent sees that case and must defeat every anchor; the judge decides which case convinced it. These are the pipeline’s own outputs, generated by tools/triple_run.py — no human edited them. The paper’s own text is not reproduced here beyond the quoted statement above.