Pith Number
pith:UKXYKUIU
pith:2026:UKXYKUIUXYBIB3AIQUWBEEBMBG
not attested
not anchored
not stored
refs pending
How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks
arxiv:2605.23583 v1 · 2026-05-22 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UKXYKUIUXYBIB3AIQUWBEEBMBG}
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 | 2026-05-25T02:02:20.864962Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a2af855114be0280ec08852c12102c098797bc5e7c3a046285877bb9bea67bf1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UKXYKUIUXYBIB3AIQUWBEEBMBG \
| 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: a2af855114be0280ec08852c12102c098797bc5e7c3a046285877bb9bea67bf1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56e101c355cc63f6bf9de98f7b5502ac5ee15671265071e56f1f941b4a2419b5",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-05-22T12:54:08Z",
"title_canon_sha256": "e90ccd34121f57b1daaa5bbaf7e974844ddf62190175d6aac23dd13fa68153dc"
},
"schema_version": "1.0",
"source": {
"id": "2605.23583",
"kind": "arxiv",
"version": 1
}
}