Pith Number
pith:FSKGLGHM
pith:2024:FSKGLGHM7IBUJWEV76AQOGT65F
not attested
not anchored
not stored
refs pending
Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis
arxiv:2410.19789 v2 · 2024-10-15 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FSKGLGHM7IBUJWEV76AQOGT65F}
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
✓
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 | 2026-07-05T11:17:36.834912Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c946598ecfa0344d895ff81071a7ee95c64814580437acd441bb85b218600ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FSKGLGHM7IBUJWEV76AQOGT65F \
| 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: 2c946598ecfa0344d895ff81071a7ee95c64814580437acd441bb85b218600ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "653402089c8fcb7bd721f9d2cd547a10eb1f4b484d8dff1648991fb56d16cac4",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-15T16:25:16Z",
"title_canon_sha256": "669fb432fdc8aa3bcbdd0838163dc98c9087a642a19efbad9befe8a3d973dbf4"
},
"schema_version": "1.0",
"source": {
"id": "2410.19789",
"kind": "arxiv",
"version": 2
}
}