Pith Number
pith:K27JSMEQ
pith:2024:K27JSMEQJKBLQEXLFOSHLWFX4T
not attested
not anchored
not stored
refs pending
Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model
arxiv:2412.09041 v3 · 2024-12-12 · eess.SP · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K27JSMEQJKBLQEXLFOSHLWFX4T}
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 | 2026-07-05T11:24:10.224699Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
56be9930904a82b812eb2ba475d8b7e4ddfe131f28abbc728b7cba552ac89b8e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K27JSMEQJKBLQEXLFOSHLWFX4T \
| 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: 56be9930904a82b812eb2ba475d8b7e4ddfe131f28abbc728b7cba552ac89b8e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "59dfe0ab61d2246dace6b533ef68ff9ab108afb70c6c2d2aa318adc0dbc56871",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2024-12-12T08:07:26Z",
"title_canon_sha256": "04304d2ee6045590660a07190e2b28ede1637153e22643a3db5f752d59e91709"
},
"schema_version": "1.0",
"source": {
"id": "2412.09041",
"kind": "arxiv",
"version": 3
}
}