pith:BWWOF67S
Sheaf-Theoretic Transport and Obstruction for Detecting Scientific Theory Shift in AI Agents
Sheaf obstruction measures rank the intended theory deformation or extension as the lowest-failure candidate in AI agent transitions.
arxiv:2605.14033 v1 · 2026-05-13 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BWWOF67SHFHOEUBCI4DUWORWGZ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
Claims
The main result is direct obstruction ranking: the intended deformation or extension is usually the lowest-obstruction candidate, and transition type is separated in the benchmark.
That the five obstruction components (residual fit, overlap incompatibility, constraint violation, limiting-relation failure, representational cost) can be defined and combined in a way that reliably separates deformation from extension without post-hoc tuning on the benchmark itself.
A finite sheaf-theoretic framework ranks obstruction measures to identify when an AI agent's theory must deform within its language or extend to a new one, validated on a controlled transition benchmark.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:12.819786Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0dace2fbf2394ee2502247074b3a36366228b0f6274147c86373e432c2ef6b80
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWWOF67SHFHOEUBCI4DUWORWGZ \
| 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: 0dace2fbf2394ee2502247074b3a36366228b0f6274147c86373e432c2ef6b80
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0eb50d1dd0516496337f7c139e8996094237de32feab4765c2cf71101949a8f0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-13T18:46:17Z",
"title_canon_sha256": "3384d00f6b4da6505d7af19ad85c6ced96f645f1688ffdc3a4e2921c033d169d"
},
"schema_version": "1.0",
"source": {
"id": "2605.14033",
"kind": "arxiv",
"version": 1
}
}