Pith Number
pith:YAOWZFCU
pith:2016:YAOWZFCUEDIGZVUHLMFLA5T6WO
not attested
not anchored
not stored
refs pending
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
arxiv:1612.00478 v1 · 2016-12-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YAOWZFCUEDIGZVUHLMFLA5T6WO}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:55:59.893613Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c01d6c945420d06cd6875b0ab0767eb3aa3cd9946a5753eb27a8d879d5f692c4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YAOWZFCUEDIGZVUHLMFLA5T6WO \
| 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: c01d6c945420d06cd6875b0ab0767eb3aa3cd9946a5753eb27a8d879d5f692c4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56cabbff86fa56c7e649f28ee04d6f4a27e2c8b9e689fa8c625563b3200ed236",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-12-01T21:37:19Z",
"title_canon_sha256": "c5aa2767052efed7f115f966c3c15ab3899fa83f5aadcc17acebb817689153a7"
},
"schema_version": "1.0",
"source": {
"id": "1612.00478",
"kind": "arxiv",
"version": 1
}
}