Pith Number
pith:6JFS4VXW
pith:2021:6JFS4VXWZUWFKNJB5T7VDS3FV7
not attested
not anchored
not stored
refs pending
SymbolicGPT: A Generative Transformer Model for Symbolic Regression
arxiv:2106.14131 v1 · 2021-06-27 · cs.LG · cs.CL · cs.SC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6JFS4VXWZUWFKNJB5T7VDS3FV7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:52:47.547215Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f24b2e56f6cd2c553521ecff51cb65aff7cf18890d3fb8fb269496d8632bacab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6JFS4VXWZUWFKNJB5T7VDS3FV7 \
| 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: f24b2e56f6cd2c553521ecff51cb65aff7cf18890d3fb8fb269496d8632bacab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9d210a96ff574f6312280d056cea60d398f75119f50eaaad63d75f88e78deaa9",
"cross_cats_sorted": [
"cs.CL",
"cs.SC"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-27T03:26:35Z",
"title_canon_sha256": "272c2efd5cceec2c26437063fb43106c840d322c7fd47896768fc2f174729ec4"
},
"schema_version": "1.0",
"source": {
"id": "2106.14131",
"kind": "arxiv",
"version": 1
}
}