Pith Number
pith:73LRH4PQ
pith:2019:73LRH4PQS3P76WYK5JPGNSACUY
not attested
not anchored
not stored
refs pending
Heterogeneous Multi-task Metric Learning across Multiple Domains
arxiv:1904.04081 v1 · 2019-04-08 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{73LRH4PQS3P76WYK5JPGNSACUY}
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 | 2026-05-17T23:49:07.139623Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fed713f1f096dfff5b0aea5e66c802a62d93068be8d011685771480e4b56043c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/73LRH4PQS3P76WYK5JPGNSACUY \
| 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: fed713f1f096dfff5b0aea5e66c802a62d93068be8d011685771480e4b56043c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6fd35a816b5e274831edacee2d42e357d2daf9f78ab42982f94dfcb34689519",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-04-08T13:59:36Z",
"title_canon_sha256": "d59de8e5236ed7ff91a491965142fe6d728f75c2d952289cc5817544a228a034"
},
"schema_version": "1.0",
"source": {
"id": "1904.04081",
"kind": "arxiv",
"version": 1
}
}