Pith Number
pith:BSCHRFQP
pith:2021:BSCHRFQPSV4O4XQHZFVT3D25LU
not attested
not anchored
not stored
refs pending
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
arxiv:2105.05165 v2 · 2021-05-11 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BSCHRFQPSV4O4XQHZFVT3D25LU}
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 | 2026-07-05T02:39:49.056335Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c8478960f9578ee5e07c96b3d8f5d5d25f004120f3dbb414ae947773276b110
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BSCHRFQPSV4O4XQHZFVT3D25LU \
| 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: 0c8478960f9578ee5e07c96b3d8f5d5d25f004120f3dbb414ae947773276b110
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fb7c2043a286fee23a23e206f94aa711f303e131ceb6af8b5052319dd5b61cb7",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-05-11T16:19:07Z",
"title_canon_sha256": "577091942f764c08a25f8354949351bfeda07e9ca9ce0af72a3ecb48a946e77a"
},
"schema_version": "1.0",
"source": {
"id": "2105.05165",
"kind": "arxiv",
"version": 2
}
}