Pith Number
pith:RFYKHJPZ
pith:2025:RFYKHJPZKMURLESXJQD4OFYOYP
not attested
not anchored
not stored
refs pending
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
arxiv:2506.03461 v1 · 2025-06-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RFYKHJPZKMURLESXJQD4OFYOYP}
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
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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 | 2026-07-05T11:15:27.885471Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8970a3a5f953291592574c07c7170ec3e013006078fc1c9aebba9236aa506252
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RFYKHJPZKMURLESXJQD4OFYOYP \
| 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: 8970a3a5f953291592574c07c7170ec3e013006078fc1c9aebba9236aa506252
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "29a579aebd27b3bcc9d2398dd2ad93b5c1d546523b1bd3ec224c13cfa1c8e728",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-03T23:57:57Z",
"title_canon_sha256": "83381682ccd5de7db4df862b43858fa5161e7c4c6306f83b6890699f2980e9c1"
},
"schema_version": "1.0",
"source": {
"id": "2506.03461",
"kind": "arxiv",
"version": 1
}
}