Pith Number
pith:P4BNEU2B
pith:2019:P4BNEU2BEUXTRMT7624S4CX6PZ
not attested
not anchored
not stored
refs pending
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides
arxiv:1908.10907 v3 · 2019-08-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P4BNEU2BEUXTRMT7624S4CX6PZ}
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 | 2026-07-05T07:05:03.478293Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f02d25341252f38b27ff6b92e0afe7e4b3341b10296c63853a2d7a21b283de0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P4BNEU2BEUXTRMT7624S4CX6PZ \
| 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: 7f02d25341252f38b27ff6b92e0afe7e4b3341b10296c63853a2d7a21b283de0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2953cfa323a501dba7ba77f795c45ba9c08d696ae97a14277a564b1a85b6e370",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-08-28T19:07:40Z",
"title_canon_sha256": "bf77292ef774b44496a5aa512f31753874c4e46dea55c04a106b8260eb28e1b6"
},
"schema_version": "1.0",
"source": {
"id": "1908.10907",
"kind": "arxiv",
"version": 3
}
}