Pith Number
pith:AKXENOMY
pith:2025:AKXENOMYQYUEH2WK5URRJ5FDSA
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not anchored
not stored
refs pending
Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model
arxiv:2507.14668 v2 · 2025-07-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AKXENOMYQYUEH2WK5URRJ5FDSA}
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Record completeness
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Bitcoin timestamp
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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 | 2026-07-05T11:48:05.789976Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
02ae46b998862843eacaed2314f4a3900dd3537799d1d48767e8a0d9887621d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AKXENOMYQYUEH2WK5URRJ5FDSA \
| 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: 02ae46b998862843eacaed2314f4a3900dd3537799d1d48767e8a0d9887621d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "031c2ef1b49fc3e630f61da2c24aad6898fb9dff1a800320c18027137b67888a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-19T15:38:56Z",
"title_canon_sha256": "20ecf8e5e42fb40d84c55214f7afa9a575aef1730eeb32e2bcfebd9c8847f315"
},
"schema_version": "1.0",
"source": {
"id": "2507.14668",
"kind": "arxiv",
"version": 2
}
}