Pith Number
pith:2MFICJ7T
pith:2026:2MFICJ7TXPLCODG652LK3VBEPG
not attested
not anchored
not stored
refs pending
Breaking TinyML: Why Quantized Neural Networks Need Domain-Specific Security Analysis
arxiv:2606.14427 v1 · 2026-06-12 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2MFICJ7TXPLCODG652LK3VBEPG}
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 | 2026-07-07T01:16:17.017706Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d30a8127f3bbd6270cdeee96add424799354d17147788aef6851a2ae6bbb4125
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2MFICJ7TXPLCODG652LK3VBEPG \
| 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: d30a8127f3bbd6270cdeee96add424799354d17147788aef6851a2ae6bbb4125
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc2f053b70f70cc93daf44eb6c86b74d4cfe90a291f3f8d63df8b73baf0b3435",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2026-06-12T13:05:34Z",
"title_canon_sha256": "a613bf855bc196f0d6aa846e249cf043ecf191eee76534dbf0bfa20f91af8237"
},
"schema_version": "1.0",
"source": {
"id": "2606.14427",
"kind": "arxiv",
"version": 1
}
}