Pith Number
pith:XVF7CSF4
pith:2025:XVF7CSF46NHCL5AIOU7PR45S3I
not attested
not anchored
not stored
refs pending
Can Textual Gradient Work in Federated Learning?
arxiv:2502.19980 v1 · 2025-02-27 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XVF7CSF46NHCL5AIOU7PR45S3I}
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 | 2026-07-05T10:20:56.264876Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd4bf148bcf34e25f408753ef8f3b2da10ab4794a0aefb910383222460ae62a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVF7CSF46NHCL5AIOU7PR45S3I \
| 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: bd4bf148bcf34e25f408753ef8f3b2da10ab4794a0aefb910383222460ae62a9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f24bf874f82d98fd8556f440cfe3e03f6e44d9a533bbee804ba40653966784dc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-27T11:03:24Z",
"title_canon_sha256": "1c336a605bf9a73a2f02f63b0d5a868e3b457bd3c0c040a860afa1eed23e79ba"
},
"schema_version": "1.0",
"source": {
"id": "2502.19980",
"kind": "arxiv",
"version": 1
}
}