Pith Number
pith:HXHHNDD6
pith:2022:HXHHNDD663CSM2ESZGOJBGGTYW
not attested
not anchored
not stored
refs pending
LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions
arxiv:2201.13351 v1 · 2022-01-31 · cs.LG · cs.LO · cs.NA · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HXHHNDD663CSM2ESZGOJBGGTYW}
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
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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 | 2026-07-05T03:52:51.277408Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3dce768c7ef6c5266892c99c9098d3c5aba1c3f11cd8d1f284ce72aea6062329
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HXHHNDD663CSM2ESZGOJBGGTYW \
| 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: 3dce768c7ef6c5266892c99c9098d3c5aba1c3f11cd8d1f284ce72aea6062329
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cee9da88149f38047cfba99608fec787a7b02b71c0f364b80d740744b2ec737a",
"cross_cats_sorted": [
"cs.LO",
"cs.NA",
"math.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-31T17:00:50Z",
"title_canon_sha256": "1670956b3a9b052b75fae9a1a0c59145e403719488fbc503b7e132c4c2bb73a5"
},
"schema_version": "1.0",
"source": {
"id": "2201.13351",
"kind": "arxiv",
"version": 1
}
}