public stress-test corpus · reviewed 2026-07-16

What can be checked—and what remains only a claim.

A curated, non-exhaustive set of public arXiv papers selected for recency, public visibility, claim diversity, and red-team value. It is not a citation ranking, endorsement, or list of proven discoveries.

These are Certiv-authored test dossiers, not author-issued Certiv receipts. A pinned PDF proves file identity only. A passing selected replay records one bounded observation; it does not independently reproduce a paper's central claim or establish truth, novelty, priority, safety, or correct interpretation.

result at a glance

Identity is common. Reproduction is not.

Every number describes this corpus, not the literature as a whole. “Selected replay” is deliberately narrower than “paper reproduced.”

11exact PDF versions pinned and parser-screened
11T0 identity receipts with deliberate tamper detected
3dossiers with at least one selected computational replay
0central paper claims independently reproduced
Core exercise passed · bounded
Unchanged is not “verified”; tampered is a distinct failure.

Each exact PDF was packed as a Certiv T0 integrity input, checked unchanged, then checked after a one-byte append. This exercises identity and tamper semantics only; it does not evaluate a paper's scientific claims. Declared author commands executed: 0.

selection and method

Built to expose evidence boundaries.

  • Public arXiv record and exact-version PDF available over HTTPS.
  • AI is central to the reported discovery, discovery workflow, or verification problem.
  • The set spans mathematics, algorithms, materials, chemistry, biomedicine, physics, and automated AI research.
  • Methodological and adversarial controls are included to test whether the evidence model resists overclaiming.
  • Selection does not imply scientific endorsement, popularity rank, or successful reproduction.

11 public papers · exact versions

Evidence dossiers

Open a dossier for the file identity, reported claim, checks, blockers, red-team findings, primary sources, and machine-readable record.

01Reported discovery

Algorithms and mathematics

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.

The exact PDF was pinned. Three selected cells from the public results notebook ran in a no-network, read-only sandbox and accepted the 48-rank construction, an Erdős step-function bound, and a dimension-11 kissing construction.

Selected check replayedarXiv:2506.13131v1
02Reported discovery

Mathematics

Mathematical exploration and discovery at scale

Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, and Adam Zsolt Wagner

The exact v3 paper was pinned. Selected public verifiers for an Erdős step-function bound and a dimension-11 kissing construction ran successfully in isolation.

Selected check replayedarXiv:2511.02864v3
03Reported discovery

Biomedicine

Accelerating scientific discovery with Co-Scientist

Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.

The exact v2 paper was pinned and its disclosure boundary reviewed. The paper states that three real-world validation datasets and the full system source are not public.

Source pinnedarXiv:2502.18864v2
04Reported discovery

Materials science

MatterGen: a generative model for inorganic materials design

Claudio Zeni, Robert Pinsler, Daniel Zügner, et al.

The exact v2 PDF was pinned and the official code repository was commit-inventoried. Its documentation warns that released checkpoints were retrained and may not reproduce paper values; some structures also cannot be shared for licensing reasons.

Artifact inventoriedarXiv:2312.03687v2
05Discovery system

Automated machine-learning research

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha

The exact v3 PDF and public repository revision were pinned. The paper's headline acceptance language is explicitly based on an automated reviewer's threshold.

Artifact inventoriedarXiv:2408.06292v3
09Reported discovery

Theoretical physics and mathematics

Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

Michael P. Brenner, Vincent Cohen-Addad, and David P. Woodruff

The exact v1 paper was pinned and its prompts, search description, and derivations are inspectable in the paper. No public runnable artifact linked from the exact record was identified in this review.

Source pinnedarXiv:2603.04735v1
10Method control

Scientific method

The Need for Verification in AI-Driven Scientific Discovery

Cristina Cornelio, Takuya Ito, Ryan Cory-Wright, Sanjeeb Dash, and Lior Horesh

The exact v2 paper was pinned and treated as a methodological control, not as an experimental discovery result.

Source pinnedarXiv:2509.01398v2
11Adversarial response

Algorithms and systems performance

Shorter and faster than Sort3AlphaDev

Cassio Neri

Eight supplied sorting functions passed 17,173,580 cases in an independent harness. On one i9-13900KF environment with Clang 14, a nine-trial microbenchmark measured Sort3_faster at a 0.837 ns/call median versus 1.031 ns/call for Sort3AlphaDev.

Selected check replayedarXiv:2307.14503v1

how to read the status

Three levels, none named “proven.”

Source pinned
Exact paper bytes and parser observations recorded. No executable paper result replayed.
Artifact inventoried
A public repository or package was also revision-pinned and its constraints reviewed.
Selected check replayed
At least one reviewed check ran in a bounded environment. Only its stated scope passed.