Pith Number
pith:B7LNIKXB
pith:2018:B7LNIKXBKH6X5VK4PN2HIQNY3P
not attested
not anchored
not stored
refs pending
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction
arxiv:1812.09073 v1 · 2018-12-21 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B7LNIKXBKH6X5VK4PN2HIQNY3P}
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 | 2026-05-17T23:57:30.403850Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0fd6d42ae151fd7ed55c7b747441b8dbf54ac21e936740f918dfae1bd51eb485
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B7LNIKXBKH6X5VK4PN2HIQNY3P \
| 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: 0fd6d42ae151fd7ed55c7b747441b8dbf54ac21e936740f918dfae1bd51eb485
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dc54430c56a2bf0e568bbfca263284a2ae42aa169e21fad4497037ca66965c0d",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-12-21T12:16:50Z",
"title_canon_sha256": "982b2c0298fa78b549c9c7314c8c2f8fc9cecc754ac560818590aef4d33243df"
},
"schema_version": "1.0",
"source": {
"id": "1812.09073",
"kind": "arxiv",
"version": 1
}
}