Pith Number
pith:QTCSLHKR
pith:2021:QTCSLHKRICOSISNMQKCC4OJTFK
not attested
not anchored
not stored
refs pending
Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
arxiv:2103.11068 v2 · 2021-03-20 · astro-ph.HE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QTCSLHKRICOSISNMQKCC4OJTFK}
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 | 2026-07-05T03:38:16.717491Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
84c5259d51409d2449ac82842e39332aa1e32595d86b2afdfadc36aa7a83e8af
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QTCSLHKRICOSISNMQKCC4OJTFK \
| 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: 84c5259d51409d2449ac82842e39332aa1e32595d86b2afdfadc36aa7a83e8af
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f09c25d34fa75083e02c88a0b87758a436b620dfd4b5c6d4ae96589c3e52711e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.HE",
"submitted_at": "2021-03-20T01:30:02Z",
"title_canon_sha256": "cc9a52a1fe1d940ed7987c6074006a5e811725181c19bd6a7cc9e900fbef2eef"
},
"schema_version": "1.0",
"source": {
"id": "2103.11068",
"kind": "arxiv",
"version": 2
}
}