Pith Number
pith:R2XKMFCD
pith:2021:R2XKMFCDZRSD2TQJGVKLV7XTSV
not attested
not anchored
not stored
refs pending
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
arxiv:2105.07889 v3 · 2021-05-17 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{R2XKMFCDZRSD2TQJGVKLV7XTSV}
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 | 2026-07-05T03:17:51.226799Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8eaea61443cc643d4e093554bafef3954c6e8fa33c77f932ccf95e0bf6ad5005
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R2XKMFCDZRSD2TQJGVKLV7XTSV \
| 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: 8eaea61443cc643d4e093554bafef3954c6e8fa33c77f932ccf95e0bf6ad5005
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "16772017ea258f506a960e760da295b38d0b7a0e86927d8e69a68c328b149d9c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2021-05-17T14:22:58Z",
"title_canon_sha256": "61265057f51d0a5c8deaf28bf0456d6fbc68d4fd086d763928ac8160854b67db"
},
"schema_version": "1.0",
"source": {
"id": "2105.07889",
"kind": "arxiv",
"version": 3
}
}