Pith Number
pith:TZJN3JFT
pith:2022:TZJN3JFTKLRRTDJEJHMMJLI4NH
not attested
not anchored
not stored
refs pending
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations
arxiv:2207.04188 v1 · 2022-07-09 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TZJN3JFTKLRRTDJEJHMMJLI4NH}
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 | 2026-07-05T04:38:56.526046Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e52dda4b352e3198d2449d8c4ad1c69ebcacf0cb56a4f06d13e00175e411c2b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TZJN3JFTKLRRTDJEJHMMJLI4NH \
| 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: 9e52dda4b352e3198d2449d8c4ad1c69ebcacf0cb56a4f06d13e00175e411c2b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fbe57f16c324ce3c0d136f76da99fc468b3050109145c8e431e8cd3b5c402f96",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-07-09T04:06:00Z",
"title_canon_sha256": "27176936e0787f3c41137ef619784a8a790f7250d00f428061e64bbaaef821bf"
},
"schema_version": "1.0",
"source": {
"id": "2207.04188",
"kind": "arxiv",
"version": 1
}
}