Pith Number
pith:OQFTPECJ
pith:2024:OQFTPECJ3FJR2QV3BIGOPZZCJW
not attested
not anchored
not stored
refs pending
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
arxiv:2409.10702 v2 · 2024-09-16 · cs.HC · cs.AI · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OQFTPECJ3FJR2QV3BIGOPZZCJW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:10:50.519923Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
740b379049d9531d42bb0a0ce7e7224dbe61024be159a08bbf08a1739ee4d66e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OQFTPECJ3FJR2QV3BIGOPZZCJW \
| 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: 740b379049d9531d42bb0a0ce7e7224dbe61024be159a08bbf08a1739ee4d66e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "74ec52b1a1f0814adf14cd7115559709cbbeb829bed4aef6abebb2ef46061d5f",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2024-09-16T20:05:57Z",
"title_canon_sha256": "e66c5a0405fc2d5d14df7d989e06c0164429c1709c98064cf58e28eca249e127"
},
"schema_version": "1.0",
"source": {
"id": "2409.10702",
"kind": "arxiv",
"version": 2
}
}