Pith Number
pith:DSCNNHYG
pith:2016:DSCNNHYGI7SBYHOO7XXMD5K7OB
not attested
not anchored
not stored
refs pending
Multiple Influential Point Detection in High-Dimensional Spaces
arxiv:1609.03320 v2 · 2016-09-12 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DSCNNHYGI7SBYHOO7XXMD5K7OB}
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
✓
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 | 2026-05-18T00:51:25.341257Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1c84d69f0647e41c1dcefdeec1f55f7060b81defa62a7bb1a6a97e4d9433661f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DSCNNHYGI7SBYHOO7XXMD5K7OB \
| 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: 1c84d69f0647e41c1dcefdeec1f55f7060b81defa62a7bb1a6a97e4d9433661f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1ea7aad146b96c60c936c3928ad9d0970ca85ebfda83b89e875511bf22d7cf12",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2016-09-12T09:21:51Z",
"title_canon_sha256": "0a63d3b940c407107753e9a9603179629c2de57e30aa0c498af7d057eae9edd8"
},
"schema_version": "1.0",
"source": {
"id": "1609.03320",
"kind": "arxiv",
"version": 2
}
}