Pith Number
pith:HWGHB7PI
pith:2023:HWGHB7PIBX3OS7VMTD75OIOMPX
not attested
not anchored
not stored
refs pending
Accelerating Stochastic Recursive and Semi-stochastic Gradient Methods with Adaptive Barzilai-Borwein Step Sizes
arxiv:2307.13930 v2 · 2023-07-26 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HWGHB7PIBX3OS7VMTD75OIOMPX}
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 | 2026-07-05T07:03:29.533812Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d8c70fde80df6e97eac98ffd721cc7df057a99a4c686a828c189a68ca635fb2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HWGHB7PIBX3OS7VMTD75OIOMPX \
| 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: 3d8c70fde80df6e97eac98ffd721cc7df057a99a4c686a828c189a68ca635fb2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4eb02f5752a0c2cfbd502afd5bdd8637f76248c83d148dcbe1ea55c65928e274",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "math.OC",
"submitted_at": "2023-07-26T03:06:31Z",
"title_canon_sha256": "f70c503f10411641c93a526f8794ead3b51ff39f9a1917a040d03f80df2222a0"
},
"schema_version": "1.0",
"source": {
"id": "2307.13930",
"kind": "arxiv",
"version": 2
}
}