Pith Number
pith:TRBAGTWD
pith:2020:TRBAGTWDHW7SF4EIF7WCOYRKDD
not attested
not anchored
not stored
refs pending
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
arxiv:2009.06304 v2 · 2020-09-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TRBAGTWDHW7SF4EIF7WCOYRKDD}
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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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 | 2026-07-05T01:36:10.457615Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c42034ec33dbf22f0882fec27622a18f54689542e377291aac87afdbcc400f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TRBAGTWDHW7SF4EIF7WCOYRKDD \
| 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: 9c42034ec33dbf22f0882fec27622a18f54689542e377291aac87afdbcc400f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4fc86567d7cc6a4b04bea3f00795a6ee26f9c645ae38be83416bcec3141e663b",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-09-14T10:05:14Z",
"title_canon_sha256": "6101c0f620493f663523713a045e2db2eb998d224e21af3a9393b72220043d8b"
},
"schema_version": "1.0",
"source": {
"id": "2009.06304",
"kind": "arxiv",
"version": 2
}
}