Pith Number
pith:Y63PIB4T
pith:2025:Y63PIB4TKET4HNUZ5SZCCZNEIK
not attested
not anchored
not stored
refs pending
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
arxiv:2505.02146 v1 · 2025-05-04 · cs.CL · cs.LG · cs.PL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y63PIB4TKET4HNUZ5SZCCZNEIK}
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 | 2026-07-05T10:58:32.775940Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c7b6f407935127c3b699ecb22165a442907ac8a697dcad657d26230f3912697c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y63PIB4TKET4HNUZ5SZCCZNEIK \
| 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: c7b6f407935127c3b699ecb22165a442907ac8a697dcad657d26230f3912697c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "89b294a493a008e41f3ec95040801f637d330e0c431a52fb619acdc529e5947c",
"cross_cats_sorted": [
"cs.LG",
"cs.PL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-04T15:14:27Z",
"title_canon_sha256": "8d0b4b582452802eba8c9ef746cff5133cf57dd898c2e96fa8f8373ad05829e0"
},
"schema_version": "1.0",
"source": {
"id": "2505.02146",
"kind": "arxiv",
"version": 1
}
}