Pith Number
pith:3LBHZNHA
pith:2023:3LBHZNHAWXEQOSZINQNUWFS6DD
not attested
not anchored
not stored
refs pending
Topological Learning for Motion Data via Mixed Coordinates
arxiv:2310.19960 v1 · 2023-10-30 · cs.LG · math.AT · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3LBHZNHAWXEQOSZINQNUWFS6DD}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:07:21.972238Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dac27cb4e0b5c9074b286c1b4b165e18d2c1a017f9d015dad201aa1bc8792d73
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3LBHZNHAWXEQOSZINQNUWFS6DD \
| 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: dac27cb4e0b5c9074b286c1b4b165e18d2c1a017f9d015dad201aa1bc8792d73
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dbee4b847eca1b1655649d096aacfb41d8cf0c57f8daf2468f5e8dcb8a65018a",
"cross_cats_sorted": [
"math.AT",
"stat.CO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-30T19:20:48Z",
"title_canon_sha256": "f90e78025a053c57cd124719a9a94c4f93c42631638857077a3906af3dee5ec4"
},
"schema_version": "1.0",
"source": {
"id": "2310.19960",
"kind": "arxiv",
"version": 1
}
}