Pith Number
pith:G3R7MJYT
pith:2014:G3R7MJYTO6SK7BOHKVMXDXLF4A
not attested
not anchored
not stored
refs pending
Approximate Bayesian algorithms for multiple target tracking with binary sensors
arxiv:1410.4262 v1 · 2014-10-16 · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G3R7MJYTO6SK7BOHKVMXDXLF4A}
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 | 2026-05-18T02:39:56.556578Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36e3f6271377a4af85c7555971dd65e0384758c7ac6a23def44414a8afdba0d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G3R7MJYTO6SK7BOHKVMXDXLF4A \
| 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: 36e3f6271377a4af85c7555971dd65e0384758c7ac6a23def44414a8afdba0d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8abb3285790d02961771266e011086f387b7ca5afb72333b7a340dbdfd718ac1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SY",
"submitted_at": "2014-10-16T00:07:07Z",
"title_canon_sha256": "97a01f8ef90a0a05079fa7c5175b2e0a5f08dad37d5a64d04c7ac2d7f734b56c"
},
"schema_version": "1.0",
"source": {
"id": "1410.4262",
"kind": "arxiv",
"version": 1
}
}