Pith Number
pith:AXGGPIOU
pith:2019:AXGGPIOUJWESF2ZNJ3MNSYVWDX
not attested
not anchored
not stored
refs pending
Electricity Consumption Forecasting for Smart Grid using the Multi-Factor Back-Propagation Neural Network
arxiv:1902.10823 v1 · 2019-02-27 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AXGGPIOUJWESF2ZNJ3MNSYVWDX}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:52:29.657849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
05cc67a1d44d8922eb2d4ed8d962b61dff24139105fe41aa1449ea127c5c7e50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AXGGPIOUJWESF2ZNJ3MNSYVWDX \
| 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: 05cc67a1d44d8922eb2d4ed8d962b61dff24139105fe41aa1449ea127c5c7e50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e387c9e9aa943ecf6d4495b2a5a2f49a5cd900e27eb62ba03a9f792e1913a817",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2019-02-27T23:10:08Z",
"title_canon_sha256": "b41c232f5323871c0fe55b49cc89e26303844d901c709be5526903091857bd9a"
},
"schema_version": "1.0",
"source": {
"id": "1902.10823",
"kind": "arxiv",
"version": 1
}
}