Pith Number
pith:4T6WJDFM
pith:2026:4T6WJDFMR7OLRBTE6DWL3RPOXK
not attested
not anchored
not stored
refs pending
FSTC-Encoder: Feature--Spatial--Temporal Correlation Learning for Generalizable RF Sensing
arxiv:2608.08439 v1 · 2026-08-09 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4T6WJDFMR7OLRBTE6DWL3RPOXK}
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 | 2026-08-11T01:22:38.423761Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4fd648cac8fdcb88664f0ecbdc5eeba860e6dd2593b3f10112254a19dd043c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4T6WJDFMR7OLRBTE6DWL3RPOXK \
| 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: e4fd648cac8fdcb88664f0ecbdc5eeba860e6dd2593b3f10112254a19dd043c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbae1ebded2f5422f7fc62cc8a0c49b7f4fdd1cb0c3d72cab0f30eb7b0126553",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-08-09T03:10:40Z",
"title_canon_sha256": "e7cdc75a4f524980a330ed7206dd171fc41a0ff593633c5e3daf9fecd43ed360"
},
"schema_version": "1.0",
"source": {
"id": "2608.08439",
"kind": "arxiv",
"version": 1
}
}