Pith Number
pith:XDK3PVTM
pith:2017:XDK3PVTMAUHGVCLKB2FZI57XB2
not attested
not anchored
not stored
refs pending
Automatic Temperature Setpoint Tuning of a Thermoforming Machine using Fuzzy Terminal Iterative Learning Control
arxiv:1703.09789 v1 · 2017-03-28 · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XDK3PVTMAUHGVCLKB2FZI57XB2}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:47:39.474537Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b8d5b7d66c050e6a896a0e8b9477f70e8645501153a3f5836294546264c8a6ed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XDK3PVTMAUHGVCLKB2FZI57XB2 \
| 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: b8d5b7d66c050e6a896a0e8b9477f70e8645501153a3f5836294546264c8a6ed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "87e82cce8a6fc59acad2f5ee4d6820ab746aa82e1278547a684bdb5aba890d7b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SY",
"submitted_at": "2017-03-28T20:34:06Z",
"title_canon_sha256": "f414b34f48350d2bd218773d2d841f050d60c3309015cdfbcfc31e815f3b9528"
},
"schema_version": "1.0",
"source": {
"id": "1703.09789",
"kind": "arxiv",
"version": 1
}
}