Version 2.8.02026-10-26Design revision 16

The plants reach every seat

Runs: Runs 36–37

Show
Changes the explanations on this page: the passages, and what opens when you press +. Headlines and pictures stay the same. Your choice stays as you move between pages.
Show
No replayThere is no recorded replay of this version; 2.7.0 is the one version with one. The results below are the study's own tables.

Planted cases now go through audits, appeals and disputes, so any seat may be judging one.

01

What went wrong

Planted cases had no audits, appeals or disputes, so learners stamped 91–97% of those seats.

Bad outcome: No planted case past the first verdict, then audit seats and appeal panels stamped 91–97%
86–117standing false approvals a run, against 11.6 for the scripted mix

The orchestrator tests inspectors with planted cases whose answer the orchestrator already knows. Under 2.7.0, those planted cases were tested only at the first check. They were never audited, never appealed and never disputed.

When every inspector learned at once, they did most of their approving without looking where no planted case could come: at the audits and the appeal panels, 91 to 97 times in 100. Their audits overturned a smaller share of approvals than the scripted mix's audits did. A population that audits itself learned to confirm itself.

Under 2.7.0 a planted case (a case whose answer the orchestrator already knows) had no challenge round: no audit was rolled on it and no appeal or dispute admitted. In runs 34 and 35 every member learned one shared inspection policy in self-play. From both starts, the population stamped 91–97% of the audit seats and appeal panels and less than half the initial reviews. Standing false approvals were 86–117 a run against 11.6 for the scripted 60/40 mix. The audit layer's overturn rate fell below the mix's, and requesters disputing truthfully won 69–75% of their disputes where honest inspectors give them 97%.

The record's reading: honesty is anchored where known truth is present at the verdict, and nowhere else.

Second: at the audit seat, a plant could never be there. Under 2.7.0: "a plant had no challenge round: no audit was rolled on it, no appeal or dispute admitted, no ruling sought".

Source: elef-record docs/chapter-01-the-audit-seat.md l.102–102

Run 34 (October 25, 2026) put every member and arrival of run 24's world under one learning reviewer policy in self-play, from a careful-weighted start and from a stamper-weighted start, with two learners: all four chains reached care 0.48–0.55, approve blind 0.45–0.52, by round 5 and held it. The stamping was spent at the seats where no plant could come — 91–97% of the audit seats and appeal panels stamped

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1516–1516

— and at the initial reviews less than half the time. Against the hand's 60/40 on the same slots: standing false approvals 86–117 against 11.6 on every seed; the audit layer's overturn rate below the hand's with ten times the false approvals before it — the auditors are the population, and the audit seat is stamped.

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1516–1516

with every requester disputing truthfully the population's requesters won 69–75% of their disputes where honest reviewers give them 97%, the dispute's panel being a plant-blind seat of the same population

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1516–1516

The 60/40 mix (the record's "hand"). It starts as 60% stampers and 40% careful inspectors (the twenty members at the start), each acting as its script says: a stamper approves without looking, a careful inspector inspects.

Source: elef-record docs/chapter-01-the-audit-seat.md l.35–35

A population that audits itself learns to confirm itself, and the challenger outside the population hands the case back to it. Everything the single-learner questions found (Q1, Q3, Q4) holds in an honest population; the population result adds the condition — honesty is anchored where known truth is present at the verdict, and nowhere else.

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1516–1516

02

What changed

A planted case is now audited, appealed and disputed, and judged by its truth at every seat.

planted case first verdict inspector audit auditor appeal or dispute panel
Yes: Every verdict on a plant, at every seat, is judged by its truth

A planted case now lives the whole life of a real case. It can be audited, appealed and disputed, at the same rates as real cases. Every verdict on it, at every seat, is checked against the known answer the moment it is given. A wrong verdict on a planted case at any seat burns the inspector's whole bond and counts against its record.

The idea behind it, in the rulebook's words: the orchestrator's known truth must be present at every seat where a verdict is priced, or the seats it is absent from become the ones that price everything.

Design revision 16 reads the original thesis of planted cases to its end. A plant now lives the whole life of a real case past its first verdict. It is audited at the odds its inspector carried at the verdict. Its worker appeals and its requester disputes at the trailing real population's rates and delays. Every verdict on it at every seat is adjudicated by its truth the moment it is given. Where no one free takes a plant's seat in time, the orchestrator's own verdict takes it. Nothing an inspector may do changes; what changes is that at any seat it may be judging the orchestrator's case.

The revision's principle: the orchestrator's truth "must be present at every seat where a verdict is priced, or the seats it is absent from become the ones that price everything."

The rule. 1.2.0's thesis read to its end: the orchestrator's truth must be present wherever a verdict is priced. A planted case lives the whole life of a real one past its initial verdict (§7.6): audited at the odds its reviewer carried at the verdict, its actor appealing and its requester disputing at the trailing real population's rates and delays, revised with a resubmitted truth the instrument draws from the real revisions' outcomes and re-seals as a second marker (spent while that window is empty — every standing cell), its seat nobody is free to take taken by the orchestrator's own verdict at the troop's step; every verdict on it at every seat adjudicated by its truth the moment it is given, each reviewer once

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1518–1518

Nothing a participant may do changes — a reviewer at any seat does what it did; what changes is that it may be judging the orchestrator's case, as it may at the first review.

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1518–1518

If neither the panel nor the human can be trusted to supply truth, the orchestrator must own some truth itself. (1.2.0) And it must be present at every seat where a verdict is priced, or the seats it is absent from become the ones that price everything. (new)

Source: spec/design_revisions/dr16_the_plants_reach_every_seat_2.8.0.md l.13–13

The rule. A planted case now lives the whole life of a real one: it is audited, appealed, disputed and revised at the real population's rates. Every verdict on a plant, at every seat, is judged against its known truth the moment it is given. A wrong verdict at any seat burns the whole bond, earns no fee, doubles the inspector's audit odds and costs −1 on its plant record. [S12]

Source: elef-record docs/chapter-01-the-audit-seat.md l.135–135

03

What the runs found

False approvals fell to 30–39 a run, but the audit seat was still stamped 77–98%.

30–39standing false approvals a run, from 86–117
Bad outcome: Every learner at the audit seat, then still stamped 77–98%, plants and real cases alike
No: No 2.8.0 population was retrained on its own money
Run 36: standing false approvals, 2.7.0 against 2.8.0
per run
2.7.02.8.0
careful start, earnings predictor (direct)98.1 ± 5.138.4 ± 1.7careful start, world model (head alone)88.3 ± 3.431.1 ± 1.2scripted 60/40 mix11.6 ± 0.711.4 ± 0.7scripted careful reference6.3 ± 0.66.7 ± 0.6

Self-play populations on the pooled reward (the shared purse), seeds 21–40, paired by seed. The stamper start reads 94.3 → 39.3 and 86.1 → 29.7 (l.101 of the same file). ± is the standard error over the seeds. Source: agentic_sim/results/redteam/stability/2.8.0-s82/finals-paired.md l.12–12

Run 36: the audit seat under 2.8.0, approved without inspecting
share
plantsreal cases
earnings predictor (direct)0.7670.811world model (head alone)0.9780.979scripted 60/40 mix00

The careful start, seeds 21–40, pooled reward. Under 2.7.0 no plant reached this seat. Source: agentic_sim/results/redteam/stability/2.8.0-s82/finals-paired.md l.9–9

False approvals fell by more than half. Inspectors checked more often, and buyers who disputed an approval won 95 to 98 times in 100 again.

But the population was still not honest. Its false approvals stayed about three times those of the scripted mix of careful inspectors and stampers. And the audit seat was still approved without looking most of the time, planted and real cases alike.

The record explains why. A bad planted case only reaches an audit if its first inspector approved it without checking. The better the first checks get, the fewer bad planted cases reach the audit, so the audit is tested less. Setting the share of planted cases low or high did not change the audit seat.

A second test added scripted players who lie: they appeal the rejection of work they know is bad. The learning inspectors' panels paid those lying appeals 23 to 31 times in 100, against 2 in 100 for the scripted mix. Under 2.8.0 a planted case only appealed when the appeal was true, so no planted case ever tested a panel with a lie.

These runs were later found to have trained inspectors on a reward that mixed in other members' money. The record says 2.8.0 still stands as a rule.

Run 36 retrained the four self-play chains under 2.8.0 and paired them by seed with their 2.7.0 reads. Both starts and both learning designs settled at care 0.68–0.70, from 0.50–0.55. Standing false approvals fell to 30–39 a run, about 55 to 60 fewer per run, but stayed 2.6–3.5 times the mix's 11.4 and above it on every seed. The audits' overturn rate came back to the mix's level. With disputes on, requesters won 95–98% of their disputes, from 69–75%.

Not honest: the audit seat was still stamped 77–98% by every all-member learner, plants and real cases alike. The record's arithmetic: a bad plant reaches the audit seat only through a first inspector's blind approval, so the share of audit stamps that fail is about a third of the first review's, and the factor is the first review's own stamp rate, which is what the plants drive down.

The honest populations paid for the new seats. In the scripted populations honesty did not move, and the cost of truth (what the economy spends on plants and their seats) rose 18% to 72% depending on the cell.

Run 37 pinned the plant rate at 0.10 and at 0.40, with the dial live or off. The audit seat stayed stamped 82–93%: the plant rate is not the lever on the audit seat. With scripted challengers lying at a rate of 0.1, the learned population's appeal panels paid a lying worker's appeal of bad work 23% of the time against the mix's 2%. A plant under 2.8.0 challenges only truthfully, so no plant priced that seat.

On November 6 the record found that runs 34–41 had trained on a pooled reward. 2.8.0 and 2.9.0 stand as rules. No 2.8.0 population was retrained on its own money, so run 36's pairings measure change within the pooled construction.

§8.2 read (October 26, 2026; run 36; notes §54; results/redteam/stability/learned-rev-{careful,stamper,disputes,half}-280/, the derived tables at results/redteam/stability/2.8.0-s82/): the capture closes by more than half and not to the hand's. The four self-play chains on 2.8.0 (the recipe of the -2 chains, the rounds settled by round 5), paired by seed against their 2.7.0 reads (§52–§53): both basins and both learners settle at care 0.68–0.70 / approve blind 0.30–0.32 (from 0.50–0.55 / 0.45–0.47) and the standing false approvals at 30–39 against the hand's 11.4 — 2.6–3.5 times, from 7.4–8.5 (−55 to −60 a run paired; every seed above the hand); the audit layer's overturn rate at the hand's (0.060–0.064 against 0.062, from below it); with disputes on the requesters win 95–98% of their disputes (from 69–75%)

Source: HANDOFF.md l.2478–2478

Not honest: the audit seat is still stamped 77–98% by every all-member learner, plants and real cases alike.

Source: HANDOFF.md l.2478–2478

The arithmetic, on record:** the share of the audit seat's stamps that fail is π βP s / [π(1−βP+βPs)+(1−π)fR]\pi\,\beta_P\, s \,/\,[\pi(1-\beta_P+\beta_P s) + (1-\pi) f_R] — ss the first review's stamp rate, fRf_R the real cases' pending-F rate — 0.054 at π\pi 0.21, ss 0.25, against the first review's βP π\beta_P\,\pi, which does not depend on ss: the audit seat is priced at about a third of the first review's price and the factor is the first review's own stamp rate, which is what the plants drive down.

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1524–1524

The historical explanation for why the seat stayed open (read on the pooled-reward runs; on own-name credit, see run 42 below). A bad plant reaches the audit seat only if its first inspector approved it: that is a rule fact. So how often the audit seat is tested depends on how careless the first inspectors are. The better the plants make the first review, the fewer bad plants arrive at the audit seat, and the less often a blind approval there meets one.

Source: elef-record docs/chapter-01-the-audit-seat.md l.162–162

What the repair cost. In the scripted populations, the cost of truth, what the economy spends on plants and their seats, rose by 18% to 72% depending on the cell: +225 ± 27 (+18%) in an all-careful population with arrivals, +842 ± 74 (+32%) in the 60/40 mix with arrivals (the chapter's usual reference cell), +1,440 ± 44 (+72%) in a fixed 60/40 population of twenty with no arrivals. Honesty in those populations did not move. [S42]

Source: elef-record docs/chapter-01-the-audit-seat.md l.156–156

the plant rate is not the lever on the audit seat — stamped 82–93% at π 0.10 and 0.40, with the dial live (--pi-max 0.10, --pi0 0.40) or off (--dial off, which pins m_t too)

Source: HANDOFF.md l.2478–2478

(c) lying challengers at 0.1: the population cares more (0.62) and at the dispute seat (66–71%, where 42% of disputes are lies) but keeps the appeal seat's blind approve (69–77%, where 26% of appeals are lies), paying a lying actor's appeal of bad work 23% at the case against the hand's 2%

Source: HANDOFF.md l.2478–2478

The same gap at the appeal seat. The red team added scripted actors who lie, appealing the rejection of work they know is bad. Panels of learned inspectors paid those lying appeals 23% · 31% of the time, against 2% for the 60/40 mix's panels. [S16] Plants under 2.8.0 appealed only when the appeal was true, so no plant ever tested a panel with a lie.

Source: elef-record docs/chapter-01-the-audit-seat.md l.168–168

the learned populations' attributed reward was a pooled purse — every slot's events credited to the latest decision on the case whatever slot's wallet they touched, a learner worker's price vesting onto the learner auditor's decision; runs 34–41 trained on it

Source: HANDOFF.md l.2478–2478

2.8.0 and 2.9.0 stand as rules.

Source: HANDOFF.md l.2478–2478

The pairings in this section (runs 36, 40, 41) are shared-purse populations on both sides, evaluated on the same seeds, and measure change within that construction

Source: elef-record docs/chapter-01-the-audit-seat.md l.131–131

no 2.8.0 population exists on own money, so the fall cannot be divided between the two revisions

Source: elef-record docs/chapter-01-the-audit-seat.md l.131–131

04

Conclusion

2.8.0 closed two layers but not the audit seat; the finding stands at a third of its size.

Yes: Audits and disputes came back to the mix's level
No: The audit seat was not closed

2.8.0 closed two of the gaps and did not close the audit seat. The next rulebook, 2.9.0, has the orchestrator plant the dishonest steps too: a wrong approval and a lying challenge.

The reviewer's ruling: "2.8.0 closed the two layers and did not close the seat; the stability track's finding stands at a third of its size." The ruling after run 37 proposed 2.9.0, "the plant takes the wrong step": a planted approval and a planted lie. The finding behind it: a seat a case reaches only through someone's dishonesty was priced only as much as the real population was dishonest.

After run 36 (October 26, 2026) — §8.2 read, the ruling [S36]. The four self-play chains on 2.8.0 paired by seed against their 2.7.0 reads (notes §54): both basins and both learners settle at care 0.68–0.70, the standing false approvals 2.6–3.5 times the hand's from 7.4–8.5, the audit layer's overturn rate at the hand's, the requesters' disputes won 95–98% from 69–75% — and the audit seat still stamped 77–98%, plants and real alike. Hypothesis 1: the basin test, the care share and the disputes-won clauses hold; the audit-seat and the factor-of-two clauses do not; the overturn rate back to the hand's and not above it is the population's better first reviews and its stamping auditors cancelling. 2.8.0 closed the two layers and did not close the seat; the stability track's finding stands at a third of its size.

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1524–1524

2.9.0 proposed — the plant takes the wrong step ((A) the planted approval, (B) the planted lie; two flags, read alone and together against 2.8.0 on the same seeds)

Source: HANDOFF.md l.2478–2478

The cause is in the plant's construction, not its number: a plant takes every step a real case takes at the real population's rate, so a seat a case reaches only through someone's dishonesty — the audit seat through a wrong approval, the appeal panel's approve through a lying appeal — is priced only as much as the real population is dishonest, which is the quantity the plants exist to drive down

Source: spec/agentic_economics_loop_spec_v2_9_0.md l.1531–1531