Start Here — Three Results

Three steps into Distributed Discovery

A contextual reading path from the atomic paradox to strategic attention and the sharing frontier. The order is editorial; evidence status remains in the claim ledger.

1 · Canonical upstream entry

Shared Discovery Paradox

Question: Can better pooled ranking produce worse group discovery?

Title result: in the atomic fixture, one pooled answer can compress several searches into duplication.

Strongest limitation: the separation depends on the declared signal, action, and protocol classes.

Evidence: sourced upstream exact result. Status: canonical upstream entry; no submission or peer-review status represented here.

Read the anchor · Study · Claim · Evidence · Next paper

2 · Strategic-attention family

The Incentive to Ignore

Question: Who should use a shared clue when independent private action routes remain?

Title result: one shared-clue reader maximizes discovery in the frozen role class.

Strongest limitation: unrestricted constant territorial policies can escape the evidence-responsive class.

Evidence: analytic theorems plus independently reproduced bounded classifications. Status: working paper; not submitted, not peer reviewed, no DOI.

Read the paper · Study · Claim · Evidence · Next paper

3 · Sharing-frontier family

When Does Information Sharing Improve Decentralized Discovery?

Question: When does aggregation improve faster than sharing removes independent rescue?

Title result: a residual-error criterion determines the sign of an adjacent sharing step under the registered rescue protocol.

Strongest limitation: the decentralized positive interval is selection-dependent; it is not an every-equilibrium theorem.

Evidence: analytic identities/theorems, independently reproduced bounded classifications, and a bounded null. Status: arXiv v1 preprint 2609.01814 [cs.AI; cs.GT]; not peer reviewed. The displayed DOI registration was pending at observation.

Read the paper · Study · Claim · Evidence · Next theorem-family paper

Continue through the canon

Common-Source Trap · Threshold Discovery · notes and syntheses · studies · Labs · TreasureBench · Treasure Hunt companion · methods

Translation layer

Related formulations

These formulations translate a canonical object without changing its scientific scope.

OR/MS

Shared Discovery Paradox

information improvement with action-allocation loss

atomic pinned model and protocol comparison

Economics / AGT

Shared Discovery Paradox

a decentralized information-action separation under changed protocol

not a violation of centralized Blackwell monotonicity

Multi-agent AI

Shared Discovery Paradox

shared context can collapse an agent ensemble onto one action

task analogy not evaluated agent evidence

Practitioner

Shared Discovery Paradox

a better shared answer can send everyone to the same wrong place

model illustration not field evidence

OR/MS

Incentive to Ignore / One-Reader theorem

optimal audience size under coverage loss

registered evidence-responsive role class

Economics / AGT

Incentive to Ignore / One-Reader theorem

welfare effect of selective public-information access

mechanical coverage and declared incentives

Multi-agent AI

Incentive to Ignore / One-Reader theorem

route a shared clue to one acting agent while others retain independent tasks

task analogy not agent evaluation

Practitioner

Incentive to Ignore / One-Reader theorem

not everyone who can read the same signal should act on it

scope-bound model statement

OR/MS

Information Sharing Frontier

error-contraction versus residual-coverage frontier

registered channels protocols and selection

Economics / AGT

Information Sharing Frontier

aggregation benefit net of decentralized action compression

selected positive result is not every-equilibrium

Multi-agent AI

Information Sharing Frontier

shared context helps only if better joint inference beats lost task diversity

theoretical mapping without model evaluation

Practitioner

Information Sharing Frontier

share when the map improves faster than the portfolio narrows

model-derived formulation

Open the complete contextual concordance