Pith Number
pith:JR67LHOC
pith:2025:JR67LHOCXNSBEZ6USO5HR3G3GF
not attested
not anchored
not stored
refs pending
MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition
arxiv:2502.19071 v1 · 2025-02-26 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JR67LHOCXNSBEZ6USO5HR3G3GF}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:20:26.267093Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4c7df59dc2bb641267d493ba78ecdb3166b3929d05c7c8b7296590d8464ebb19
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JR67LHOCXNSBEZ6USO5HR3G3GF \
| 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: 4c7df59dc2bb641267d493ba78ecdb3166b3929d05c7c8b7296590d8464ebb19
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f6dc9ed3fb59624c07aa05da6f5787fa47d7aa32ad6c867eb346ef55c424fdb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-26T11:53:31Z",
"title_canon_sha256": "fa9dd6fc5efd827b714e003b2cb2e8cb646aab0e037c63692370d8a5a8cb2e65"
},
"schema_version": "1.0",
"source": {
"id": "2502.19071",
"kind": "arxiv",
"version": 1
}
}