Pith Number
pith:ECVRHHRC
pith:2025:ECVRHHRC256XCL2PSPKLX4OYCF
not attested
not anchored
not stored
refs pending
The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models
arxiv:2505.24874 v1 · 2025-05-30 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ECVRHHRC256XCL2PSPKLX4OYCF}
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 | 2026-07-05T11:12:58.150958Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
20ab139e22d77d712f4f93d4bbf1d811780615f83fe571ab199311b74d00726f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ECVRHHRC256XCL2PSPKLX4OYCF \
| 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: 20ab139e22d77d712f4f93d4bbf1d811780615f83fe571ab199311b74d00726f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bfd4cfe8d9a117ab3621f4ed7f01de900f34d4ab7b18c2ce5c153431549279a3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-30T17:59:46Z",
"title_canon_sha256": "5a9c15cca0eaf9bf36a39461442a8a78426fbfc5020c3b554814a2f2259b3680"
},
"schema_version": "1.0",
"source": {
"id": "2505.24874",
"kind": "arxiv",
"version": 1
}
}