Pith Number
pith:JFCR7IGB
pith:2018:JFCR7IGBZBSPJ6XXYETSG2XRTN
not attested
not anchored
not stored
refs pending
VizML: A Machine Learning Approach to Visualization Recommendation
arxiv:1808.04819 v1 · 2018-08-14 · cs.HC · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JFCR7IGBZBSPJ6XXYETSG2XRTN}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:08:02.459883Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
49451fa0c1c864f4faf7c127236af19b65479b0880faebc53d8c27c6b75f6972
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JFCR7IGBZBSPJ6XXYETSG2XRTN \
| 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: 49451fa0c1c864f4faf7c127236af19b65479b0880faebc53d8c27c6b75f6972
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4321a4e3e6a8066a54cf9e1fe2074d32b32bc0deec474d4d590f4404c907a51e",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2018-08-14T18:00:01Z",
"title_canon_sha256": "c8682100e27e4fc53a82277ec9af589f850dd3e4053df6af7131b02778de0a3f"
},
"schema_version": "1.0",
"source": {
"id": "1808.04819",
"kind": "arxiv",
"version": 1
}
}