Pith Number
pith:LDS3V2UA
pith:2014:LDS3V2UA37K22ICCBKWCQFI4K2
not attested
not anchored
not stored
refs pending
Applied Neural Cross-Correlation into the Curved Trajectory Detection Process for Braitenberg Vehicles
arxiv:1410.3199 v1 · 2014-10-13 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LDS3V2UA37K22ICCBKWCQFI4K2}
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 | 2026-05-18T02:40:11.880120Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58e5baea80dfd5ad20420aac28151c5689b5cb8fe81eba456967efbea7e4d1b9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LDS3V2UA37K22ICCBKWCQFI4K2 \
| 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: 58e5baea80dfd5ad20420aac28151c5689b5cb8fe81eba456967efbea7e4d1b9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ddb82801e58f26b0f03ac380127736a2ed2e2c042e1cb2d21fecbefc1b36bba2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2014-10-13T06:29:10Z",
"title_canon_sha256": "4d3220e572976acb814e6eb64ba3488834b9a8288887011849c4d6716e86edbf"
},
"schema_version": "1.0",
"source": {
"id": "1410.3199",
"kind": "arxiv",
"version": 1
}
}