Pith Number
pith:A7CF5FDE
pith:2021:A7CF5FDEPYVX3PNZFSSEQANNAY
not attested
not anchored
not stored
refs pending
Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networks
arxiv:2101.08150 v1 · 2021-01-20 · physics.ins-det
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A7CF5FDEPYVX3PNZFSSEQANNAY}
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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 | 2026-07-05T03:52:25.615363Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
07c45e94647e2b7dbdb92ca44801ad062df993d8b0837719334b08d18aefdc98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A7CF5FDEPYVX3PNZFSSEQANNAY \
| 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: 07c45e94647e2b7dbdb92ca44801ad062df993d8b0837719334b08d18aefdc98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "792f0c17d3493194073480149ad577bddd5f7a8c4d9e0e57ffe44eaac34b3720",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "physics.ins-det",
"submitted_at": "2021-01-20T14:17:28Z",
"title_canon_sha256": "56cc19548e01a2ba0cc9583485ac09da0f207076f56ca4afe3fb29bb07bdf41d"
},
"schema_version": "1.0",
"source": {
"id": "2101.08150",
"kind": "arxiv",
"version": 1
}
}