IA Pledge: What It Means to Put Your Reputation on the Line

Pledging Is Not Staking

Many platforms use "staking" — you lock up tokens, and if you are wrong, they are slashed immediately. This is zero-sum: something is taken from Paul to pay Peter, mechanically, at the moment of the event.

IA pledge works differently. When a validator votes on a pool:

• Nothing is deducted from their IA score
• Nothing is locked or frozen
• Their IA remains exactly as it was
• The pledge is recorded as a future liability or credit

The consequence arrives only when definitive outcome data exists. This could be months or years later.

Why Deferred Consequences?

The Chicken-and-Egg Problem

Early in any ecosystem, validators need to be able to participate without being punished before the network is mature enough to produce outcome data. If validators lost IA immediately on every vote, they would be cautious to the point of paralysis — or the system would be empty of validators entirely.

The deferred model lets the ecosystem grow. Validators review pools, the network generates activity, and when outcomes are measurable, accountability follows.

Human Reputation Works This Way

A scientist who endorses a study does not lose their reputation the moment they endorse it. They lose it years later, if the study is retracted and they are seen to have missed something they should have caught. The pledge is public. The consequence is deferred. This mirrors how intellectual authority works in the real world.

The Pledge Record

Every validator vote creates an IaPledge record:

Pledges in pending resolution are visible on your public profile. Other users can see: "This validator has 12 pledges pending resolution." This is social information — it signals how actively someone is participating, without prejudging the outcome.

Historical Pledge Accuracy

Over time, each validator builds a pledge accuracy record — the percentage of their resolved pledges where their vote aligned with the eventual outcome. This becomes a public indicator of judgment quality, separate from IA score but informing it.

A validator with 80% pledge accuracy over 50 resolved decisions is demonstrably a good judge of IP quality. A validator with 30% accuracy over the same number of decisions is providing negative signal to the community.

There Is No Free Lunch

Once you self-select to a jury, you have made a commitment. Abstaining after applying has its own cost. Consistently abstaining is a signal that you are trying to observe outcomes without committing — the system does not reward this over time.

Equally, if you vote consistently on the wrong side of history — approving ideas that fail, rejecting ideas that succeed — that record accumulates. There is no way to participate in the validation system and be consistently wrong without consequences. And there is no way to be consistently right without building genuine authority.

This is the point. IA is not a score you accumulate by activity. It is a measure of the quality of your judgment, tested against reality over time.

What "Being Right" Means

For IP pools, the outcome is measured at 24 months:

• Definitive success: the pool has generated at least one citation from an active contract, with measurable LTU burn
• Definitive failure: zero citations, zero LTU burn at 24 months
• Inconclusive: partial activity — pledge stays open, re-evaluated at 36 months

For validators who approved a successful pool: positive IA delta applied. For validators who approved a failed pool: negative IA delta applied. For validators who rejected a failed pool: positive IA delta applied (correct rejection vindicated). For validators who rejected a successful pool: small negative delta (rejecting good ideas has cost).