Pith Number
pith:INVMSBKV
pith:2018:INVMSBKVRH35ILOR3WSQU7J7P2
not attested
not anchored
not stored
refs pending
Nonlinear System Identification using Neural Networks and Trajectory-Based Optimization
arxiv:1804.10346 v2 · 2018-04-27 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{INVMSBKVRH35ILOR3WSQU7J7P2}
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 | 2026-05-18T00:17:02.768872Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
436ac9055589f7d42dd1dda50a7d3f7eaaef9be827983e16fd9f368da5a0ceb5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/INVMSBKVRH35ILOR3WSQU7J7P2 \
| 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: 436ac9055589f7d42dd1dda50a7d3f7eaaef9be827983e16fd9f368da5a0ceb5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c69fd394846492e6d28460f08b82b4fe298eabb2c41c35b614e365b7dd8f1ffc",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2018-04-27T05:21:12Z",
"title_canon_sha256": "bb745bd3dfc7ef48ec20e341f238e70e2c7adf340be920b88750ebe1994cba5e"
},
"schema_version": "1.0",
"source": {
"id": "1804.10346",
"kind": "arxiv",
"version": 2
}
}