Pith Number
pith:JKXPL7UN
pith:2020:JKXPL7UNS4GMLHE7IEK57C3P2D
not attested
not anchored
not stored
refs pending
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
arxiv:2010.04456 v6 · 2020-10-09 · stat.ML · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JKXPL7UNS4GMLHE7IEK57C3P2D}
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 | 2026-07-05T04:21:43.764721Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4aaef5fe8d970cc59c9f4115df8b6fd0e613332f363b216b3180cee651014f66
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JKXPL7UNS4GMLHE7IEK57C3P2D \
| 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: 4aaef5fe8d970cc59c9f4115df8b6fd0e613332f363b216b3180cee651014f66
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c36cbcb8d08edb161f646a881ec250f6f9979affa49a0b2c457f301fc22c7203",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2020-10-09T09:31:03Z",
"title_canon_sha256": "6664b861d05225e133cdb98cd585e8457e57d83a500b46293d68ad639f986553"
},
"schema_version": "1.0",
"source": {
"id": "2010.04456",
"kind": "arxiv",
"version": 6
}
}