Pith Number
pith:4VLHMIH3
pith:2020:4VLHMIH3235WLDYNK4ULNVQQDJ
not attested
not anchored
not stored
refs pending
High-Energy Density Hohlraum Design Using Forward and Inverse Deep Neural Networks
arxiv:2009.03269 v1 · 2020-08-13 · physics.ins-det
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4VLHMIH3235WLDYNK4ULNVQQDJ}
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 | 2026-07-05T02:23:45.939894Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e5567620fbd6fb658f0d5728b6d6101a4a5bb29e272d7f1547c1060061703475
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4VLHMIH3235WLDYNK4ULNVQQDJ \
| 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: e5567620fbd6fb658f0d5728b6d6101a4a5bb29e272d7f1547c1060061703475
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "24e23535b2ec858fbfb138eedc4f97bc99c30664f1ccc31dbfb3dfe3d83b4a79",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ins-det",
"submitted_at": "2020-08-13T16:34:49Z",
"title_canon_sha256": "61f90ddb9055b160c45e616be15c16b123ac1da7ebb97dd215a9391b5d2953a3"
},
"schema_version": "1.0",
"source": {
"id": "2009.03269",
"kind": "arxiv",
"version": 1
}
}