Pith Number
pith:IF4LOFUJ
pith:2026:IF4LOFUJVJIPURJN52KRZ4UDXM
not attested
not anchored
not stored
refs pending
CTS-MoE: Implicit Terrain Adaptation via Mixture-of-Experts for Perceptive Locomotion
arxiv:2606.19633 v1 · 2026-06-17 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IF4LOFUJVJIPURJN52KRZ4UDXM}
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 | 2026-06-19T16:12:30.877987Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4178b71689aa50fa452dee951cf283bb108fa1dcdb6f8f31ebbba993d984db08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IF4LOFUJVJIPURJN52KRZ4UDXM \
| 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: 4178b71689aa50fa452dee951cf283bb108fa1dcdb6f8f31ebbba993d984db08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "962fcf59fc99d4bc3e4589aedaeec91cd119f9af5a1c1eeebfebc268c9cba90a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-06-17T22:25:49Z",
"title_canon_sha256": "8bd37bcddf9928916f677ee3f282e65ac2bf8b6de3d6ca2e23fcd44273aa7e77"
},
"schema_version": "1.0",
"source": {
"id": "2606.19633",
"kind": "arxiv",
"version": 1
}
}