Pith Number
pith:KXJISZX2
pith:2025:KXJISZX2D57ARTSULXQ3UW6SQ2
not attested
not anchored
not stored
refs pending
CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model
arxiv:2504.07998 v1 · 2025-04-08 · cs.GR · cs.AI · cs.AR · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KXJISZX2D57ARTSULXQ3UW6SQ2}
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 | 2026-07-05T10:47:40.769024Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
55d28966fa1f7e08ce545de1ba5bd286abd146b79cc7402557b72791fae99005
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KXJISZX2D57ARTSULXQ3UW6SQ2 \
| 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: 55d28966fa1f7e08ce545de1ba5bd286abd146b79cc7402557b72791fae99005
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2fc733b9b8db159ef0b7ae915db01fe5273c455ec0035e40e2ad08eb80359167",
"cross_cats_sorted": [
"cs.AI",
"cs.AR",
"cs.CV"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.GR",
"submitted_at": "2025-04-08T22:40:29Z",
"title_canon_sha256": "095fae1663b7a5e45697db039dd7250bf1132276476a4a0b3b0fe46cc6df0618"
},
"schema_version": "1.0",
"source": {
"id": "2504.07998",
"kind": "arxiv",
"version": 1
}
}