Pith Number
pith:UMJEEQIP
pith:2017:UMJEEQIPP4YUMVUZWRQKPL3IBE
not attested
not anchored
not stored
refs pending
Progressive Neural Networks for Transfer Learning in Emotion Recognition
arxiv:1706.03256 v1 · 2017-06-10 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UMJEEQIPP4YUMVUZWRQKPL3IBE}
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 | 2026-05-18T00:42:38.030405Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a31242410f7f31465699b460a7af68090be4991c0164946ac8daa2819c878745
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UMJEEQIPP4YUMVUZWRQKPL3IBE \
| 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: a31242410f7f31465699b460a7af68090be4991c0164946ac8daa2819c878745
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "59060ad7cffec5cb241d5f365ad39f46404ae2ba2e21df7a4763713cb34a808a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-06-10T17:26:20Z",
"title_canon_sha256": "d80e18446a8ee32c1af8a4564d542c828f2a10a9ce942643761c5f864bb02678"
},
"schema_version": "1.0",
"source": {
"id": "1706.03256",
"kind": "arxiv",
"version": 1
}
}