Pith Number
pith:WGXL3LOE
pith:2016:WGXL3LOEN6Z5DZ2PFUH46LJCEB
not attested
not anchored
not stored
refs pending
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection
arxiv:1612.06052 v2 · 2016-12-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WGXL3LOEN6Z5DZ2PFUH46LJCEB}
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 | 2026-05-18T00:37:54.683459Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b1aebdadc46fb3d1e74f2d0fcf2d222072625d019fe5214e7fca1232fee2e811
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WGXL3LOEN6Z5DZ2PFUH46LJCEB \
| 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: b1aebdadc46fb3d1e74f2d0fcf2d222072625d019fe5214e7fca1232fee2e811
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3ea1f4eea5a1160f89e4539d04453fb520dd8c77dd6e142d322546e961a36713",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-12-19T05:54:18Z",
"title_canon_sha256": "c599e3558495085fd8e4997f286ff00ca34665f5757655937ad5c6f3bb5a09b5"
},
"schema_version": "1.0",
"source": {
"id": "1612.06052",
"kind": "arxiv",
"version": 2
}
}