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AdmitOR v1.0.0
First public release of AdmitOR, the code and artifacts behind the paper
Admission Without Answers: Label-Free Certification and Experience Learning
for LLM-Based Optimization Modeling (Lian, Chen, Qin, Teo).
Paper: arXiv:2608.15565
AdmitOR certifies answers to optimization problems without an answer key.
Three model families write solver code against one shared extracted
specification, each candidate is re-examined over resampled instantiations of
the parameter domain rather than the stated instance alone, agreement is
compressed into a cross-family clique over the induced value functions, and
admission is thresholded to a conformally calibrated false-discovery budget
with explicit abstention.
What is in the repository
admitor/the certification enginescripts/the E0, E1 and E3 experiment driversdatasets/the problem sets the experiments run on (third-party, attributed
indatasets/README.md)artifacts/certification verdicts, the four evaluated skill libraries, the
E3 calibration and replay reports, and the K4 contingency tablepatches/our changes to the OptSkills host, as unified diffs; no host
source is redistributedtests/an offline suite that passes with no API key
Full index with sizes, sha256 and the paper table or figure each artifact
backs: artifacts/MANIFEST.md
Release asset
admitor-v1.0.0-runlogs.zip is the complete scrubbed per-call run ledger,
93,909 records covering 60,000 host model calls and 589,902,200 tokens. It is
attached here rather than committed because the ledger grows with every
campaign and must not accumulate in git history.
sha256 272d52030e1ab229547e0762b7c25f954bcfc22e6e2586eeb82bcbec682a4c0f
The same hash is recorded in artifacts/MANIFEST.md, so the manifest and this
release cross-verify. Every record was scrubbed by
release_tools/scrub_logs.py (committed, so the process is auditable) and
then swept a second time after extraction by an independent implementation.
Both agree: zero credential, endpoint, path or identity hits across all
93,909 records.