Pith Number
pith:IM6RR7NN
pith:2025:IM6RR7NNGHTHTDRQEWSMX7NWRD
not attested
not anchored
not stored
refs pending
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
arxiv:2509.16139 v5 · 2025-09-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IM6RR7NNGHTHTDRQEWSMX7NWRD}
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 | 2026-05-26T02:03:55.280404Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
433d18fdad31e6798e3025a4cbfdb688c7efea594c462089fc7b61d52ba24369
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IM6RR7NNGHTHTDRQEWSMX7NWRD \
| 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: 433d18fdad31e6798e3025a4cbfdb688c7efea594c462089fc7b61d52ba24369
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ddf05ac39ec7a40f5a0040c8e373d7a9da7771e0f9ef81bd675b0eefd3e4ad87",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-19T16:38:39Z",
"title_canon_sha256": "215eb5a97357c4cb2f0212475a93190644434316df0158e836b79d708f810e6e"
},
"schema_version": "1.0",
"source": {
"id": "2509.16139",
"kind": "arxiv",
"version": 5
}
}