Pith Number
pith:RU57NQVI
pith:2023:RU57NQVIB52BMO6SM5YLNH7XBH
not attested
not anchored
not stored
refs pending
SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling
arxiv:2311.15134 v1 · 2023-11-25 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RU57NQVIB52BMO6SM5YLNH7XBH}
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 | 2026-07-05T07:16:59.496485Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8d3bf6c2a80f74163bd26770b69ff709f2e6ad503f641c6c388909646aafda9e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RU57NQVIB52BMO6SM5YLNH7XBH \
| 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: 8d3bf6c2a80f74163bd26770b69ff709f2e6ad503f641c6c388909646aafda9e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e840fcce845597793129366c87225edd7e61c45b23e6cd5a771dc74fce718852",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-25T22:51:01Z",
"title_canon_sha256": "8990c5e5d54da3d5df7fce835774c8b1b718da932741746a68b53ce4476a1b06"
},
"schema_version": "1.0",
"source": {
"id": "2311.15134",
"kind": "arxiv",
"version": 1
}
}