Pith Number
pith:IB6HYGYE
pith:2013:IB6HYGYEW5KG6PG36B3GRTWWB3
not attested
not anchored
not stored
refs pending
Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100)
arxiv:1306.4454 v2 · 2013-06-19 · cs.DL · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IB6HYGYEW5KG6PG36B3GRTWWB3}
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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 | 2026-05-18T03:13:09.952281Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
407c7c1b04b7546f3cdbf07668ced60eefe04ecd5a78778ec9a5f8f5e8ec0b6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IB6HYGYEW5KG6PG36B3GRTWWB3 \
| 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: 407c7c1b04b7546f3cdbf07668ced60eefe04ecd5a78778ec9a5f8f5e8ec0b6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dc1f4bc77e28ed4c0ca25ea5e74dc222f5105f39bc512fc0bdf6f23923ae817d",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DL",
"submitted_at": "2013-06-19T08:43:02Z",
"title_canon_sha256": "db477aac69ac1d39063133270b22d2dcb0653620bc272c925c8cb5225a0b2840"
},
"schema_version": "1.0",
"source": {
"id": "1306.4454",
"kind": "arxiv",
"version": 2
}
}