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Pith Preprint open preprint records with review on the page

Editorial policy

This page is the AI instruction set. The screens, rubric, and hard floors are not a marketing summary. They are the deterministic decision rules. Rubric version journal-rubric-2026-05-13-v3.

0. Two tiers

Pith Preprint has two tiers with two different doors:

0a. Preprint admission (integrity only)

Two passes run at submission, and only integrity-class failures hold a manuscript:

PASS publishes the record immediately with the review attached; no human step. HOLD routes to a human queue with the evidence attached, and every resolution is logged to the public decision ledger. Disagreement with consensus, unfashionable topics, missing novelty, and weak results are never hold reasons.

1. States (journal promotion tier)

The preprint record has its own axis: preprint published, held (human queue), or withdrawn. The journal ladder below operates independently on the same submission:

  1. submitted: author opted into the journal lane on a completed peer-review ticket.
  2. eligible: rubric score and hard floors pass; paper can open a public candidate window.
  3. candidate: public endorsement and challenge window is open (10 days by default).
  4. published: Pith Preprint endorsed the paper. A permanent article page is created.
  5. declined: publication was declined; the decision letter is published with the rubric.
  6. ineligible: hard floor failed or rubric score below threshold. Authors see exactly which gates failed. The preprint record is unaffected.
  7. withdrawn: author withdrew; the rubric and objection record are kept for the audit log.

2. Hard floors (journal promotion only)

Any one of these blocks journal-promotion eligibility, regardless of score. None of them blocks the preprint record:

Hard floors are deterministic. They are computed from the peer-review synthesis, claim ledger, and verification grade. There is no human override.

3. Rubric (journal promotion)

Each axis is scored in [0, 1] and combined by the disclosed weight vector. The composite score is also in [0, 1].

AxisWeightWhat it measures
technical_correctness0.22Final referee recommendation, adjusted by confidence.
claim_discipline0.16Share of claim-ledger entries marked verified or conditional, penalized by overclaimed or unsupported entries.
novelty0.12Signals in the novelty/positioning section. Penalized for explicit incremental framing.
significance0.14Signals in the significance section. Penalized for tangential framing.
reproducibility0.12Presence of Lean evidence, data, or code in the claim ledger; verification grade above V2.
verification0.08Verification grade V0..V5. Papers that make no formal claim are not penalized for V0.
review_consensus0.08Final confidence and number of synthesizer-recorded disagreements between referees.
objection_resolution0.08Public objections resolved or addressed during the candidate window.

Eligibility threshold: composite score ≥ 0.55. Scores open the journal lane; they never publish a paper by themselves. Publication requires explicit action.

4. Journal fee

There is no fee to publish in Pith Preprint. The only cost in the pipeline is the Pith Review fee, which pays for the machine review that produces the rubric score and reference audit. Once a paper passes review and clears the candidate window, journal publication is free.

5. Endorsements

During the candidate window, signed-in users can add a typed endorsement:

An author cannot endorse their own submission. Endorsements never override an objection or a hard floor.

6. Objections

Objections during the candidate window must cite at least one claim ID or section reference with at least 20 characters of explanation. Three severities:

Authors can respond and mark an objection as resolved. The final decision letter cites every unresolved blocking objection.

7. Models and AI instructions

The rubric is the AI instructions. There is no hidden model prompt. Every score is a deterministic function of:

  1. the structured fields in the existing peer-review synthesis JSON;
  2. the claim ledger and verification grade in that same JSON;
  3. the public endorsement and objection record once the candidate window has run.

The live model roster, read from the deployed configuration (this table cannot drift from what actually runs):

SeatModelRequiredScope
Referee Agrok-4.5 (high)yesall manuscripts; falls back to gpt-5.5
Referee Bgpt-5.5 (high)yesall manuscripts; falls back to moonshotai/kimi-k3
Referee Cmoonshotai/kimi-k3best-effortall manuscripts
Adjudication + report composergrok-4.5 (decision) / grok-4.5 (sections)yesall manuscripts; quorum: any 2 of 3 referees
Desk screen (preprint door)grok-4.5best-effortall manuscripts

Referee seats are interchangeable as the state of the art moves; the roster is configuration, not doctrine. Uploaded (private) manuscripts are never sent to models whose providers claim training rights on inputs; that exclusion is enforced in the pipeline, not just stated here.

8. Anti-club commitments

The audit dashboard publishes acceptance rates, score distributions, and objection outcomes. It updates in real time and is the same data feed that drives this rubric.

10. DOI registration

Papers submitted directly through Pith and published in the journal are registered with Crossref as pre-prints (record type posted_content type="preprint") under the DOI prefix 10.67347, held by the Recognition Physics Research Institute.