Pith Number
pith:64FOIGVL
pith:2024:64FOIGVLIB6V6C4C5D2GCU3N56
not attested
not anchored
not stored
refs pending
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
arxiv:2402.08138 v2 · 2024-02-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64FOIGVLIB6V6C4C5D2GCU3N56}
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
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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 | 2026-07-05T07:53:32.951730Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f70ae41aab407d5f0b82e8f461536defb26efa6ec8b69240c96232d93124bb13
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64FOIGVLIB6V6C4C5D2GCU3N56 \
| 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: f70ae41aab407d5f0b82e8f461536defb26efa6ec8b69240c96232d93124bb13
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b5ae6bf85f80ca985db70aef159f314135814e1075ba633fe356b5668bdb13c2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-02-13T00:23:31Z",
"title_canon_sha256": "b7e4b8c2d4ce23da8a3563c91832afebbdff17d3407b64939d119244c5eeafbc"
},
"schema_version": "1.0",
"source": {
"id": "2402.08138",
"kind": "arxiv",
"version": 2
}
}