pith:FAJJCCRI
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling
Solver-integrated LLMs for optimization modeling are limited primarily by errors in automated constraint formulation as problem complexity scales.
arxiv:2601.19924 v2 · 2026-01-09 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FAJJCCRIZZHLD364M3CPX3RHZD}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
For the current SOTA paradigm, Solver-integrated Reasoning (SIR), the automated formulation of constraints represents the primary bottleneck.
The assumption that the ten canonical problems and the chosen complexity scaling metrics (variables, constraints, integrality) sufficiently represent the space of real-world optimization modeling tasks that LLMs would encounter.
OPT-Engine shows pure-text chain-of-thought reasoning in LLMs loses robustness as optimization complexity grows, external tools fix only local arithmetic, and solver-integrated methods are bottlenecked by automated constraint formulation.
References
Cited by
Receipt and verification
| First computed | 2026-05-17T23:39:16.587073Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2812910a28ce4eb1efdc66c4fbee27c8df62ac51c61e6bf6da3022335d775fff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FAJJCCRIZZHLD364M3CPX3RHZD \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2812910a28ce4eb1efdc66c4fbee27c8df62ac51c61e6bf6da3022335d775fff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9be0b4289a37c7b6d2030e8a8fde9772c80325d89a04fafa37c001f4001d4319",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-01-09T09:22:33Z",
"title_canon_sha256": "c3847cfab4ea9627fcd570e0673fcc661a915ef3a464869b59c5cbfaed6149a7"
},
"schema_version": "1.0",
"source": {
"id": "2601.19924",
"kind": "arxiv",
"version": 2
}
}