Pith Number
pith:ZI5TC64N
pith:2025:ZI5TC64NWX3V4GQY3XSK6GQ2AI
not attested
not anchored
not stored
refs pending
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis
arxiv:2505.03830 v1 · 2025-05-04 · cs.RO · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZI5TC64NWX3V4GQY3XSK6GQ2AI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:59:32.272846Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ca3b317b8db5f75e1a18dde4af1a1a020fe44e8f76d6f7861a081842aa06fb79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZI5TC64NWX3V4GQY3XSK6GQ2AI \
| 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: ca3b317b8db5f75e1a18dde4af1a1a020fe44e8f76d6f7861a081842aa06fb79
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f70418802440c96062027b24272b00c8b79b2760baaa883b601776741a4e1d8c",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-05-04T04:46:16Z",
"title_canon_sha256": "ef8c84167743f55256319ce303d80bd396c3580dc71ae14e76704adb0bcbf567"
},
"schema_version": "1.0",
"source": {
"id": "2505.03830",
"kind": "arxiv",
"version": 1
}
}