Pith Number
pith:LDP5DFR3
pith:2022:LDP5DFR3HOVXPUL4DIAYUXOCUF
not attested
not anchored
not stored
refs pending
Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help
arxiv:2201.02564 v2 · 2022-01-07 · hep-ph · hep-lat · math-ph · math.MP · nucl-th
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\usepackage{pith}
\pithnumber{LDP5DFR3HOVXPUL4DIAYUXOCUF}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:59:18.272585Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58dfd1963b3bab77d17c1a018a5dc2a1523b6285fa2e6436f529dbe22a81b219
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LDP5DFR3HOVXPUL4DIAYUXOCUF \
| 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: 58dfd1963b3bab77d17c1a018a5dc2a1523b6285fa2e6436f529dbe22a81b219
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00521ec8d11999a647f283c4f0925639cb8e3a5643a3a81e9e2bec0c2c97ce3a",
"cross_cats_sorted": [
"hep-lat",
"math-ph",
"math.MP",
"nucl-th"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ph",
"submitted_at": "2022-01-07T17:48:49Z",
"title_canon_sha256": "98c7145ce640b539d589e6441de7925daa497b8aa3f1a506279b21b0550036cf"
},
"schema_version": "1.0",
"source": {
"id": "2201.02564",
"kind": "arxiv",
"version": 2
}
}