Pith Number
pith:XQNBE7FQ
pith:2014:XQNBE7FQYUJXOJWKTO4VVW6PL3
not attested
not anchored
not stored
refs pending
A Sample-Based Approach to Data Quality Assessment in Spatial Databases with Application to Mobile Trajectory Nearest-Neighbor Search
arxiv:1409.2819 v2 · 2014-09-09 · cs.DB
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XQNBE7FQYUJXOJWKTO4VVW6PL3}
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
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4
Citations
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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 | 2026-05-18T01:14:53.413220Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bc1a127cb0c5137726ca9bb95adbcf5eec8b5b47e5799b2ed338418695d7e9d9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XQNBE7FQYUJXOJWKTO4VVW6PL3 \
| 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: bc1a127cb0c5137726ca9bb95adbcf5eec8b5b47e5799b2ed338418695d7e9d9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "904ba44e3acbaa2d6f07c156896c3f1101fef626d22e55b6fd8f3171bb69941e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DB",
"submitted_at": "2014-09-09T17:10:11Z",
"title_canon_sha256": "7bdaba9460f02cabb4960b1b28e40b8c87d6c4b491b0addd9069c82953965f82"
},
"schema_version": "1.0",
"source": {
"id": "1409.2819",
"kind": "arxiv",
"version": 2
}
}