Pith Number
pith:M5V3AKSK
pith:2011:M5V3AKSKAAXFWBX47LTPIWXUSX
not attested
not anchored
not stored
refs pending
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
arxiv:1101.2613 v2 · 2011-01-13 · cs.DB
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M5V3AKSKAAXFWBX47LTPIWXUSX}
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 | 2026-05-18T02:22:57.840373Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
676bb02a4a002e5b06fcfae6f45af495c31777cd669b3bd9e2b7e3c5b7d26e3c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M5V3AKSKAAXFWBX47LTPIWXUSX \
| 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: 676bb02a4a002e5b06fcfae6f45af495c31777cd669b3bd9e2b7e3c5b7d26e3c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "78c0baeb601c72697164c45b6f58b9ca7281a9d4f47799c22e4f607061f676b4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DB",
"submitted_at": "2011-01-13T17:32:01Z",
"title_canon_sha256": "db97d71c9ffd96224235bd33d5976ce44bcfbbadc487864fc306d7ad79081646"
},
"schema_version": "1.0",
"source": {
"id": "1101.2613",
"kind": "arxiv",
"version": 2
}
}