Reconstruction completeness as a
Decision Accounting

Reconstruction completeness as a sufficient-statistics theorem

core-claim
Core claim

A record is reconstruction-complete when the legal inquiry can be answered from the record alone

The paper defines reconstruction completeness as inquiry-relative informational sufficiency. The evaluator does not need the whole latent decision history if the record preserves every variable needed by the regime's process inquiry.

motivation
Motivating case

The 2018 board record could prove a vote but not the process behind it

A financial-institution board approved a risk-management restructuring after a 12-page memo and 45-minute discussion. Eighteen months later, a derivatives portfolio suffered a $5.2 billion loss, and regulators could not reconstruct the process questions that mattered.

source-base
Process regimes

Caremark, FCA, and investigations all ask latent-history questions

The paper treats process-sensitive accountability as a reconstruction problem across legal and investigative settings. These regimes evaluate documentary and institutional traces after an adverse event.

formal-model
Formal model

The record must separate histories that the regime treats differently

Let H be possible decision histories, QR the regime's inquiry, and R* the record bundle. If two materially different histories collapse into the same record while QR assigns different conclusions, the record is not sufficient.

theorem1
1

The 17-field DA architecture is sufficient for broad process-sensitive regimes

For inquiries spanning the paper's broad process variables, the DA 17-field architecture plus the integrity layer preserves enough information to reconstruct the legally relevant process conclusion.

integrity
Integrity layer

Integrity protects the record but cannot supply missing content

The paper separates content architecture from integrity architecture. Timing, attribution, authentication, version history, access logging, and retention or hold status make records reliable, but they do not answer omitted process questions.

field-families
Field families

The fields map to recurring process questions, not to a magic count

The paper defends the architecture by grouping fields into variable families that later evaluators repeatedly need. A production system may split or merge fields if the same variables remain stably preserved.

theorem2
2

Seventeen fields are not always minimal because regimes differ

The architecture is sufficient for broad regimes, but narrower regimes can be reconstruction-complete with fewer variables. Minimality depends on the inquiry actually being performed.

theorem3
3

Extra fields are ancillary unless they answer a new legal question

After the sufficient set is known, a new field does not change reconstruction completeness unless it tracks an independently legally relevant variable. Otherwise it may help usability, analytics, or retrieval, but it is not part of the sufficiency proof.

ai-reconstruction
AI and narrative

AI summaries and long memos do not cure underdetermined traces

The paper rejects two common shortcuts. Open-ended narrative can bury missing variables, and AI can infer from incomplete traces, but neither makes a record sufficient when several materially different histories remain consistent with the same bundle.

empirical
SAPM link

Corporate governance calibration treats incomplete records as an intractability problem

The paper connects reconstruction-complete records to the SAPM corpus. In corporate governance, the calibration reports βW = 4.02 with Π = 21.5T revenue, and ties the Reform Dividend of$73.8T/yr to distinguishing Hollow Wins from genuine Win-Win-Win outcomes.

conclusion
Takeaway

Design records for the inquiry, not for meeting formalities

The paper turns good documentation into a testable condition: preserve the sufficient statistics for the process inquiry the institution will actually perform. Traditional minutes, emails, tickets, and memos can work only if they preserve the same variables in a stable and retrievable form.