Pith Number
pith:QVGN7VJC
pith:2021:QVGN7VJCMJF3GTFGH2FLSBMKTV
not attested
not anchored
not stored
refs pending
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
arxiv:2106.01854 v3 · 2021-06-03 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QVGN7VJCMJF3GTFGH2FLSBMKTV}
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
✓
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 | 2026-07-05T03:45:09.423589Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
854cdfd522624bb34ca63e8ab9058a9d531cab605b7206c16eed9555537f6450
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QVGN7VJCMJF3GTFGH2FLSBMKTV \
| 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: 854cdfd522624bb34ca63e8ab9058a9d531cab605b7206c16eed9555537f6450
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e4547ecf2e958a16046c190584c4bfac6730fa227f849f4e436b5a651ffca9a8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-03T13:57:32Z",
"title_canon_sha256": "b6982f6236eef5f61867c805c14ca9d67170e02a0aece1473cb335614ca93480"
},
"schema_version": "1.0",
"source": {
"id": "2106.01854",
"kind": "arxiv",
"version": 3
}
}