Pith Number
pith:LITYUT3O
pith:2016:LITYUT3OKZDSU6CMPN4DRWPDZD
not attested
not anchored
not stored
refs pending
Why is Compiling Lifted Inference into a Low-Level Language so Effective?
arxiv:1606.04512 v1 · 2016-06-14 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LITYUT3OKZDSU6CMPN4DRWPDZD}
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 | 2026-05-18T01:12:25.508035Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a278a4f6e56472a784c7b7838d9e3c8e4f9f59208a4e27de4bf83d25e7b095a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LITYUT3OKZDSU6CMPN4DRWPDZD \
| 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: 5a278a4f6e56472a784c7b7838d9e3c8e4f9f59208a4e27de4bf83d25e7b095a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6899085a2aaac97c188e13af32c9b20ea9e413d92bb4cb9aa00be670bcff1400",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-06-14T19:13:30Z",
"title_canon_sha256": "fb8786289d8a9fe742ecaf8ee5ff8cd3a9ad30b816622ae25e2b2cb6a7c2968e"
},
"schema_version": "1.0",
"source": {
"id": "1606.04512",
"kind": "arxiv",
"version": 1
}
}