Pith Number
pith:7GVQDUX5
pith:2026:7GVQDUX5PZZ6UXLWS3ZCT35Y4A
not attested
not anchored
not stored
refs pending
FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives
arxiv:2605.18866 v1 · 2026-05-15 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7GVQDUX5PZZ6UXLWS3ZCT35Y4A}
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 | 2026-05-20T00:06:29.313339Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9ab01d2fd7e73ea5d7696f229efb8e001f2b19720a802ba95c44df2b16b33d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7GVQDUX5PZZ6UXLWS3ZCT35Y4A \
| 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: f9ab01d2fd7e73ea5d7696f229efb8e001f2b19720a802ba95c44df2b16b33d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7f69c6e1815b0eb0e02a0c9017247a9c458c56d4fe199225148464a4dfba1504",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-15T09:10:02Z",
"title_canon_sha256": "304f206b86e08f258e13c9e81119c963d34d7a85d19e9617886a9efd3886901f"
},
"schema_version": "1.0",
"source": {
"id": "2605.18866",
"kind": "arxiv",
"version": 1
}
}