Pith Number
pith:Z2PONWNX
pith:2024:Z2PONWNXL4762FY3HZKY5DSLVG
not attested
not anchored
not stored
refs pending
Inverting airborne electromagnetic data with machine learning
arxiv:2407.00257 v1 · 2024-06-28 · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z2PONWNXL4762FY3HZKY5DSLVG}
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 | 2026-07-05T08:38:16.762026Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ce9ee6d9b75f3fed171b3e558e8e4ba9a9c73729167d161f9895c754bf2af55f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z2PONWNXL4762FY3HZKY5DSLVG \
| 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: ce9ee6d9b75f3fed171b3e558e8e4ba9a9c73729167d161f9895c754bf2af55f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b8244753098c40920853d8e98403dd07263bb7b79449eb738209c0916c6a318f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.geo-ph",
"submitted_at": "2024-06-28T23:06:43Z",
"title_canon_sha256": "c149c00cdd2f6fe9d97e6f5356fac306ed76122d943c921c50b052e2e19fdd46"
},
"schema_version": "1.0",
"source": {
"id": "2407.00257",
"kind": "arxiv",
"version": 1
}
}