Pith Number
pith:EGHUF3NC
pith:2019:EGHUF3NCE3JX2O5PBRDYKENTZD
not attested
not anchored
not stored
refs pending
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
arxiv:1911.03318 v1 · 2019-11-08 · stat.ML · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EGHUF3NCE3JX2O5PBRDYKENTZD}
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 | 2026-07-05T00:18:01.451622Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
218f42eda226d37d3baf0c478511b3c8c67174a89d7e2d1c2ee5e8d5c4caa59e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EGHUF3NCE3JX2O5PBRDYKENTZD \
| 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: 218f42eda226d37d3baf0c478511b3c8c67174a89d7e2d1c2ee5e8d5c4caa59e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3b716c950e9e2ac34156e06aca24ada25d24aec064cc2676860f744c6d96cc1c",
"cross_cats_sorted": [
"cs.LG",
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-11-08T15:19:33Z",
"title_canon_sha256": "d13f9e08d5b68d8db0cef576325bec03b47271d09bf04e602fc2f13496d92d57"
},
"schema_version": "1.0",
"source": {
"id": "1911.03318",
"kind": "arxiv",
"version": 1
}
}