Pith Number
pith:7PMRNH4Y
pith:2023:7PMRNH4YXQHBSSMONUZVEBEKCB
not attested
not anchored
not stored
refs pending
Minimum-Time Trajectory Optimization With Data-Based Models: A Linear Programming Approach
arxiv:2312.05724 v1 · 2023-12-10 · eess.SY · cs.SY · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7PMRNH4YXQHBSSMONUZVEBEKCB}
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.
Receipt and verification
| First computed | 2026-07-05T07:22:31.618037Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fbd9169f98bc0e19498e6d3352048a107bc8953a8d731a0e992340cd1fe2e533
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7PMRNH4YXQHBSSMONUZVEBEKCB \
| 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: fbd9169f98bc0e19498e6d3352048a107bc8953a8d731a0e992340cd1fe2e533
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "400b8f07da04436ea95762d7cbcf51d9b7b902768e7669d51d7ddfd323f6251a",
"cross_cats_sorted": [
"cs.SY",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SY",
"submitted_at": "2023-12-10T01:55:21Z",
"title_canon_sha256": "3fc066c607216795d1305bdb027ab903ad3d9ea7fa13d9bb6583b8b53bd32ffb"
},
"schema_version": "1.0",
"source": {
"id": "2312.05724",
"kind": "arxiv",
"version": 1
}
}