Pith Number
pith:T3LRZUQG
pith:2023:T3LRZUQG3G4YFFJIL5LC2XWVAD
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An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
arxiv:2302.09639 v2 · 2023-02-19 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T3LRZUQG3G4YFFJIL5LC2XWVAD}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:23:55.804630Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9ed71cd206d9b98295285f562d5ed500c7a01aa279e7c00042378888172079b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T3LRZUQG3G4YFFJIL5LC2XWVAD \
| 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: 9ed71cd206d9b98295285f562d5ed500c7a01aa279e7c00042378888172079b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f57d84431c36615662d1c8a39fd78876d14c1c516a3a4bc6b564399149f063f8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-19T18:03:53Z",
"title_canon_sha256": "bcbe63549cdcd8c0a3efc27e3c5afa0dee821b80151ea33fbc4941959ed976ab"
},
"schema_version": "1.0",
"source": {
"id": "2302.09639",
"kind": "arxiv",
"version": 2
}
}