Pith Number
pith:TBWBXKB4
pith:2024:TBWBXKB4S72WZ5423227R3R7BD
not attested
not anchored
not stored
refs pending
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
arxiv:2404.19094 v2 · 2024-04-29 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TBWBXKB4S72WZ5423227R3R7BD}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:12:05.945049Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
986c1ba83c97f56cf79adeb5f8ee3f08eb27542859a1200db21cefcbe0b3faf3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TBWBXKB4S72WZ5423227R3R7BD \
| 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: 986c1ba83c97f56cf79adeb5f8ee3f08eb27542859a1200db21cefcbe0b3faf3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7a6c3eaa92ea1334c7c083a8cf590bb1323233bcad659acdf4293a493d19a7a6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-04-29T20:19:25Z",
"title_canon_sha256": "95815184e110bd5622844301c0f231b27e988f7c451839dce48eac3422e5854a"
},
"schema_version": "1.0",
"source": {
"id": "2404.19094",
"kind": "arxiv",
"version": 2
}
}