Pith Number
pith:YQRGGGI2
pith:2021:YQRGGGI2KCIEPFU46XWAB5T5IQ
not attested
not anchored
not stored
refs pending
Deep learning-based photoacoustic imaging of vascular network through thick porous media
arxiv:2103.13964 v3 · 2021-03-25 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YQRGGGI2KCIEPFU46XWAB5T5IQ}
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
· sign in to
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 | 2026-07-05T04:48:06.885521Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c42263191a509047969cf5ec00f67d441d6e08e9a1fa5efced4e6c86355f9d96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YQRGGGI2KCIEPFU46XWAB5T5IQ \
| 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: c42263191a509047969cf5ec00f67d441d6e08e9a1fa5efced4e6c86355f9d96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "df53cc5f2e75581ac269b29f916f231a9e8f4166511e474a28a35748adf6e7b7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2021-03-25T16:45:26Z",
"title_canon_sha256": "09aa99a0278fe89f8e3d9c227131c3448687d19b2c857fe74b5d01ad2574402b"
},
"schema_version": "1.0",
"source": {
"id": "2103.13964",
"kind": "arxiv",
"version": 3
}
}