Pith Number
pith:3B4RTOGS
pith:2026:3B4RTOGSMQBSB6SLXBNCNU2PSL
not attested
not anchored
not stored
refs pending
HERO: History-Enriched Rollout Training for Long-Horizon Autoregressive Neural Operators
arxiv:2607.29135 v1 · 2026-07-31 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3B4RTOGSMQBSB6SLXBNCNU2PSL}
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 | 2026-08-03T01:19:59.272007Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d87919b8d2640320fa4bb85a26d34f92d688581bf644d089d0f3948f58459d6f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3B4RTOGSMQBSB6SLXBNCNU2PSL \
| 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: d87919b8d2640320fa4bb85a26d34f92d688581bf644d089d0f3948f58459d6f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "83313ac3c02d76008c229e72a60780ebc22d357921cbec1d8b5540419ac47290",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-31T08:05:46Z",
"title_canon_sha256": "abc31a65aafc45ab12f2fb65720d4cd307cb89fea7758726a80eab4450fbaa7c"
},
"schema_version": "1.0",
"source": {
"id": "2607.29135",
"kind": "arxiv",
"version": 1
}
}