Pith Number
pith:6HAKESZZ
pith:2025:6HAKESZZJCFMKQTSDROT5TGEMI
not attested
not anchored
not stored
refs pending
Precision Neural Network Quantization via Learnable Adaptive Modules
arxiv:2504.17263 v1 · 2025-04-24 · cs.CV · cs.CC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6HAKESZZJCFMKQTSDROT5TGEMI}
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.
Receipt and verification
| First computed | 2026-07-05T10:53:25.497026Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f1c0a24b39488ac542721c5d3eccc46219ff6cbaf0f8a728de685e5258069df7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6HAKESZZJCFMKQTSDROT5TGEMI \
| 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: f1c0a24b39488ac542721c5d3eccc46219ff6cbaf0f8a728de685e5258069df7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1aa3dd0594637ca97235bb049f485fa00e44c65c366f8543bda05bf571530bc9",
"cross_cats_sorted": [
"cs.CC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-24T05:46:25Z",
"title_canon_sha256": "956273449c9edac5e0b4545784587ad6b0411db65738a3f95af9a35c12c1b7ce"
},
"schema_version": "1.0",
"source": {
"id": "2504.17263",
"kind": "arxiv",
"version": 1
}
}