Pith Number
pith:P4Y27ACU
pith:2019:P4Y27ACUATSGTYERPX4YYJRQAF
not attested
not anchored
not stored
refs pending
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data -- Accepted Version
arxiv:1906.09995 v2 · 2019-06-24 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P4Y27ACUATSGTYERPX4YYJRQAF}
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 | 2026-05-17T23:41:17.083964Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f31af805404e469e0917df98c2630017d4d346932b402232709136fe45d0a3a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P4Y27ACUATSGTYERPX4YYJRQAF \
| 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: 7f31af805404e469e0917df98c2630017d4d346932b402232709136fe45d0a3a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d69c62edd8c8f915218f182fd02d64dd3c4fd1b62f3849dc5d002f0ec1571d41",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2019-06-24T14:31:46Z",
"title_canon_sha256": "5f23661686ffe43046ff67b639021fc3e06204d4bd3d125b3e9bd2a26e298706"
},
"schema_version": "1.0",
"source": {
"id": "1906.09995",
"kind": "arxiv",
"version": 2
}
}