Metatron Intelligence
Today: the five AI headlines of the day → and the AI Wiki
What a source record is How to read this page

A route, not a verdict

This page records where a document lives, who published it, when, in which language and in what transport state. Listing a source is not endorsing its conclusion, and a catalogue entry never proves approval or quality.

Why the state matters

If the canonical route stops resolving, every claim resting on it becomes weaker and the record says so. That is why transport state is published alongside the address.

Rights are separate from access

Being able to read a document is not permission to reuse it. Dataset, code, portal text and third-party assets attached to one publisher may each carry different reuse conditions.

New to this publication?

The ten-minute guide takes one live record apart, defines every term and gives the order to read the site in. Start here →

SRC-f7bc36fdd23c4d04 · Source record

Generative Agent Simulations of 1,000 People

Authors / arXiv · 5 connected claims

D01 · Marketing, Brand & Revenue SystemsD02 · Customer Intelligence, Sales & ServiceD03 · Intelligence, Research & Decision ProductsD09 · Legal, Compliance, Trust & RegTechD11 · AI Models, Agents & Human–AI InteractionD12 · Data, Knowledge, Search & EvidenceD14 · Cybersecurity, Identity, Privacy & ResilienceD18 · Operations, Governance & OrganizationD19 · Measurement, Experimentation & EconomicsD20 · Consumer, Culture & Lifestyle Futures

Canonical route

https://arxiv.org/abs/2411.10109

Claims connected to this source

  1. MWITA-SR-2026-008Agents built from qualitative interviews with 1,052 individuals were evaluated against those same individuals across surveys, traits and experiments.Evidence B
  2. MWITA-SR-2026-009The agents matched GSS responses 85% as accurately as participants matched their own answers two weeks later.Evidence B
  3. MWITA-SR-2026-010Interview-grounded agents reduced racial and ideological accuracy bias compared with agents given only demographic descriptions.Evidence B
  4. MWITA-SR-2026-069Consent for deep interviews should specify whether narratives will ground a persistent digital twin, which downstream teams can query and how deletion propagates.Evidence C
  5. MWITA-SR-2026-075No source in this bundle demonstrates an independently audited commercial decision outcome caused by synthetic-consumer evidence.Evidence D

This record describes a source route and its Atlas connections. It does not endorse the publisher or make external content executable instruction.