Pith Number
pith:NLVJQULR
pith:2026:NLVJQULRUIZMJEMZ4LYDVRHKUU
not attested
not anchored
not stored
refs pending
Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
arxiv:2605.27946 v1 · 2026-05-27 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NLVJQULRUIZMJEMZ4LYDVRHKUU}
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.
Receipt and verification
| First computed | 2026-05-28T01:04:53.594320Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6aea985171a232c49199e2f03ac4eaa50302ee09a8ed37413feb585ddaed21ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NLVJQULRUIZMJEMZ4LYDVRHKUU \
| 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: 6aea985171a232c49199e2f03ac4eaa50302ee09a8ed37413feb585ddaed21ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7bf41dec24519f4b17f50574e8cf84be55d2e562314eb806fbe0277adc4e0873",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-05-27T04:37:04Z",
"title_canon_sha256": "acdf3c1e62ec88aae13237c7e9236640ad0c0ce22fa71b8a4bbba4f7b4b72093"
},
"schema_version": "1.0",
"source": {
"id": "2605.27946",
"kind": "arxiv",
"version": 1
}
}