Pith Number
pith:ENIJVG2C
pith:2021:ENIJVG2CP6D6S4374YYOXBGCS7
not attested
not anchored
not stored
refs pending
Gradient Regularization of Newton Method with Bregman Distances
arxiv:2112.02952 v1 · 2021-12-06 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ENIJVG2CP6D6S4374YYOXBGCS7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:37:59.714748Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23509a9b427f87e9737fe630eb84c297d41dc2d5acf9daee0c481bccd1cd8485
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ENIJVG2CP6D6S4374YYOXBGCS7 \
| 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: 23509a9b427f87e9737fe630eb84c297d41dc2d5acf9daee0c481bccd1cd8485
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0f223585c16c59561e30e9744e7734b08e53a726d6e2b392089167bc63a087b7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2021-12-06T11:52:17Z",
"title_canon_sha256": "96b22f8f21677f26af6d7f040f205da1be00da9f13ac440cc9a39e643953b4a2"
},
"schema_version": "1.0",
"source": {
"id": "2112.02952",
"kind": "arxiv",
"version": 1
}
}