Pith Number
pith:DDJNBWSD
pith:2015:DDJNBWSDEPBGZPLXOKJ4SJJYJ4
not attested
not anchored
not stored
refs pending
Using Causal Discovery to Track Information Flow in Spatio-Temporal Data - A Testbed and Experimental Results Using Advection-Diffusion Simulations
arxiv:1512.08279 v1 · 2015-12-27 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DDJNBWSDEPBGZPLXOKJ4SJJYJ4}
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
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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 | 2026-05-18T01:23:42.717181Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
18d2d0da4323c26cbd777293c925384f1c86746138eb56b7b2719bbe6fe578e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DDJNBWSDEPBGZPLXOKJ4SJJYJ4 \
| 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: 18d2d0da4323c26cbd777293c925384f1c86746138eb56b7b2719bbe6fe578e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "afaf12185b195fbcf271542cd70a62c44e66a80b9a2bd287799b1681dd431909",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2015-12-27T21:42:06Z",
"title_canon_sha256": "3a0e45c8683da223b098f09762d0b6cca51cf87408e3402e5bdb3ed7151d63ed"
},
"schema_version": "1.0",
"source": {
"id": "1512.08279",
"kind": "arxiv",
"version": 1
}
}