Pith Number
pith:4GFYY2A6
pith:2024:4GFYY2A65ABLRRA27VE4HU73A7
not attested
not anchored
not stored
refs pending
TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
arxiv:2405.16847 v2 · 2024-05-27 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4GFYY2A65ABLRRA27VE4HU73A7}
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 | 2026-07-05T11:58:18.941100Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e18b8c681ee802b8c41afd49c3d3fb07e7167facdc53c7cd7296f7f6deb7dc56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4GFYY2A65ABLRRA27VE4HU73A7 \
| 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: e18b8c681ee802b8c41afd49c3d3fb07e7167facdc53c7cd7296f7f6deb7dc56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "64a53686d4aa6597a11dd43000c55058cc8541ddeda14407fa65cfcdb12486ad",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-05-27T05:45:51Z",
"title_canon_sha256": "1831f5ee281ffaf02c18c17f22ffee2d3a0afb5688fa9a445cd03310a833f6cf"
},
"schema_version": "1.0",
"source": {
"id": "2405.16847",
"kind": "arxiv",
"version": 2
}
}