preprints.ai valid

Preprints.ai

Machine-generated screening signals with visible provenance. Not peer review,

For agents: Preprints.ai publishes machine-generated screening signals with visible provenance, explicitly not peer review. Little further detail in the llms.txt.

preprint screeningmachine-generated signalsprovenance

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T21:06:11.500Z. Cached copy · Source on preprints.ai

# Preprints.ai
> Machine-generated screening signals with visible provenance. Not peer review,
> scientific verification, a publication recommendation, or a probability of correctness.

## What this is
Preprints.ai is an experimental research tool that combines automated research-
integrity checks with an eleven-reviewer model panel. It helps readers prioritise
which preprints to inspect. Its outputs require domain-expert interpretation and
must not be treated as verification, endorsement, or a publication decision.

The public catalogue currently focuses on assessed bioRxiv and medRxiv papers.
Some partner and arXiv records exist in the broader system. New external
assessment submissions are in private preview; catalogue and report reads are
public.

## Public screening contract
When provenance permits, the compact profile has three independent parts. Example: `AC4`.

- Evidence `A–E`: rubric-guided model screening of methods and claim support.
- Trust `A–E`: applicable transparency and reporting markers. A records
  the strongest marker coverage.
- Novelty `1–10`: a machine-generated distinctness signal. Lower is more
  novel. Its basis is labelled `literature_grounded`,
  `literature_assisted_reconstructed`, `llm_derived`, or `unknown`.

The axes must not be collapsed into “best” or “worst.” A novel paper is not
automatically reliable, and a transparent paper is not automatically correct.
Safety-critical findings can cap the Evidence letter.

Every API response exposes `screening_signal.status` as `complete`, `limited`,
or `withheld`. Each axis is separately `available`, `limited`, or `unavailable`.
Consumers should not display a legacy grade character when its axis is unavailable.
Reconstructed or LLM-derived Novelty remains displayable as a limited signal;
the basis label must accompany it.

The API may still return `publication_tier`, `tier_label`, and an experimental
editorial proxy for backwards compatibility. These derived fields are not the
primary public signal and are not validated journal-placement predictions.

## Assessment flow
1. Resolve metadata and acquire full text. Abstract-only papers are deferred.
2. Run deterministic integrity checks, including statistical, reference,
   paper-mill, image, and hidden-instruction checks where required inputs exist.
3. Route manuscript sections to eleven specialist reviewer roles.
4. Synthesize structured findings with a rubric-guided judge and deterministic
   safety gates.
5. Generate Novelty, retrieve related literature when available, and record the basis label and run provenance.
6. Defer an insufficient panel; label degraded or incomplete checks explicitly.

## Bulk screening
Most catalogue papers are screened in bulk mode: Layer-1 checks plus the
calibrated judge (Evidence letter and a Novelty rating mapped by percentile onto
the corpus scale). The eleven-role panel and live literature search do not run.
`screening_signal.method.code` is `bulk_judge` for these runs (`full_panel`
other
…

Machine-readable: GET /v1/resolve?q=preprints.ai · GET /v1/domain/preprints.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for preprints.ai:
1. POST https://agentwebmap.com/v1/sites/preprints.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://preprints.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/preprints.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/preprints.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.