Pith Number
pith:MBWEQDKA
pith:2026:MBWEQDKASRJBFPVLGGZMB6NXP4
not attested
not anchored
not stored
refs pending
Mosaic: Towards Efficient Training of Multimodal Models with Spatial Resource Multiplexing
arxiv:2605.18710 v1 · 2026-05-18 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MBWEQDKASRJBFPVLGGZMB6NXP4}
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 | 2026-05-20T00:06:16.486346Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
606c480d40945212beab31b2c0f9b77f37c7ab74f1b911b51620bbe2b9973bae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MBWEQDKASRJBFPVLGGZMB6NXP4 \
| 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: 606c480d40945212beab31b2c0f9b77f37c7ab74f1b911b51620bbe2b9973bae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "138f456466dda2580c15859415128c3e4ebd8dc2bc6550a14f030d4fae58eaa3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2026-05-18T17:44:29Z",
"title_canon_sha256": "eae616d4169f48c0336242ff691e57d5c83aca1ee406c23f67cfc92815127476"
},
"schema_version": "1.0",
"source": {
"id": "2605.18710",
"kind": "arxiv",
"version": 1
}
}