Pith Number
pith:KA4MQBQ3
pith:2025:KA4MQBQ3F5FFJLIW7AMUHWCZ4U
not attested
not anchored
not stored
refs pending
HumanMaterial: Human Material Estimation from a Single Image via Progressive Training
arxiv:2507.18385 v1 · 2025-07-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KA4MQBQ3F5FFJLIW7AMUHWCZ4U}
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
✓
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 | 2026-07-05T11:42:47.204596Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5038c8061b2f4a54ad16f81943d859e5389cef80925fef7d35d24e67808a10d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KA4MQBQ3F5FFJLIW7AMUHWCZ4U \
| 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: 5038c8061b2f4a54ad16f81943d859e5389cef80925fef7d35d24e67808a10d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7429c3f4c4b315e7ba80c0dfc48f9a71b9db347fddf121d028de147e344409bd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-24T12:59:42Z",
"title_canon_sha256": "40469383f50781f91d4ff112f7d03e20ab597d2e0f85d31151f11f76d242d002"
},
"schema_version": "1.0",
"source": {
"id": "2507.18385",
"kind": "arxiv",
"version": 1
}
}