Pith Number
pith:CYUIPYHG
pith:2025:CYUIPYHGVPZHJR43A5GQ2K7IYH
not attested
not anchored
not stored
refs pending
AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning
arxiv:2501.09160 v1 · 2025-01-15 · cs.RO · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CYUIPYHGVPZHJR43A5GQ2K7IYH}
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 | 2026-07-05T10:01:42.714488Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
162887e0e6abf274c79b074d0d2be8c1ef5578d1835aec752a51fe07d4a5753e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CYUIPYHGVPZHJR43A5GQ2K7IYH \
| 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: 162887e0e6abf274c79b074d0d2be8c1ef5578d1835aec752a51fe07d4a5753e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "da5d746141baa4a3b3549fe46372c3f9d06e8e9283daffd75aaa1e4f07d6b6dc",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-01-15T21:22:09Z",
"title_canon_sha256": "c4488b51a39375d537b42fead459bbeda8509cef6ac8c07bf216d4cd9c08822e"
},
"schema_version": "1.0",
"source": {
"id": "2501.09160",
"kind": "arxiv",
"version": 1
}
}