Pith Number
pith:FHHWPYVY
pith:2026:FHHWPYVYR2D4YLYUQP26NYAR5Q
not attested
not anchored
not stored
refs pending
OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems
arxiv:2606.19145 v1 · 2026-06-17 · cs.LG · cs.AI · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FHHWPYVYR2D4YLYUQP26NYAR5Q}
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 | 2026-06-19T16:11:57.729816Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29cf67e2b88e87cc2f1483f5e6e011ec0af6acd55fb0f7c039a75c97e881340d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FHHWPYVYR2D4YLYUQP26NYAR5Q \
| 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: 29cf67e2b88e87cc2f1483f5e6e011ec0af6acd55fb0f7c039a75c97e881340d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4ff1a954d9d62dad7a0180c0354a6d89b34ede2027a7caa2af712f92de5d4494",
"cross_cats_sorted": [
"cs.AI",
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-17T14:48:10Z",
"title_canon_sha256": "2222e98b726b240d3ce5dcd65d86d48dcd472d64823c303aaa7c18732d4e049e"
},
"schema_version": "1.0",
"source": {
"id": "2606.19145",
"kind": "arxiv",
"version": 1
}
}