Pith Number
pith:VR6S4XVI
pith:2024:VR6S4XVINQPXU3Y7PLAH7Z7SO6
not attested
not anchored
not stored
refs pending
Scaling Function Learning: A sparse aerodynamic data reconstruction method for generalizing aircraft shapes
arxiv:2411.08662 v2 · 2024-11-13 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VR6S4XVINQPXU3Y7PLAH7Z7SO6}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:24:27.428396Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac7d2e5ea86c1f7a6f1f7ac07fe7f277a2019d0bfc8ed98c732f8af8922885e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VR6S4XVINQPXU3Y7PLAH7Z7SO6 \
| 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: ac7d2e5ea86c1f7a6f1f7ac07fe7f277a2019d0bfc8ed98c732f8af8922885e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "056de6fbab291ca084afb86ba3ef64588e27eb4214afdf9b6e8d504556e1bc41",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2024-11-13T14:53:03Z",
"title_canon_sha256": "4a2eec3e78129ea961e7d5ed040bcc327e5e3f31d9f6f160cde89f7bc3495595"
},
"schema_version": "1.0",
"source": {
"id": "2411.08662",
"kind": "arxiv",
"version": 2
}
}