Pith Number
pith:PATNHIJN
pith:2026:PATNHIJN3MRJH6L22H3WLUDCA7
not attested
not anchored
not stored
refs pending
GeoRouteNet: Geometry-Enhanced Non-Autoregressive Neural Solver for the Traveling Salesman Problem
arxiv:2606.22776 v1 · 2026-06-22 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PATNHIJN3MRJH6L22H3WLUDCA7}
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.
Receipt and verification
| First computed | 2026-06-23T02:13:54.283875Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7826d3a12ddb2293f97ad1f765d06207e05dea09818f42d0301cccae94281e5d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PATNHIJN3MRJH6L22H3WLUDCA7 \
| 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: 7826d3a12ddb2293f97ad1f765d06207e05dea09818f42d0301cccae94281e5d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a084f5ad46a5759a4d25a8cf44d4805c2d86ad17ded1a41ea4426e81ee09f7c8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-22T02:31:22Z",
"title_canon_sha256": "3856d1ba0bb6d75991bf8dca1ae4dddbb878a3c4d1996900890a86d916a1e86d"
},
"schema_version": "1.0",
"source": {
"id": "2606.22776",
"kind": "arxiv",
"version": 1
}
}