Pith Number
pith:F3VZQ5IM
pith:2019:F3VZQ5IMFLZSSAXWVNI667ZNKJ
not attested
not anchored
not stored
refs pending
Matching the Blanks: Distributional Similarity for Relation Learning
arxiv:1906.03158 v1 · 2019-06-07 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F3VZQ5IMFLZSSAXWVNI667ZNKJ}
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 | 2026-05-17T23:43:54.828993Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2eeb98750c2af32902f6ab51ef7f2d52414f8be4bf12eeb6b1d435e999f48ad4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ \
| 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: 2eeb98750c2af32902f6ab51ef7f2d52414f8be4bf12eeb6b1d435e999f48ad4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c5b22fb9cc5f218dfcd7cbb7e7bfc64b4d5055a39348bec55b7a66840f49c67",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-06-07T15:26:50Z",
"title_canon_sha256": "9b29cb387156f8c9baa1e64d45456bd4f9717452cd3f09c8f58c0ee6f177787e"
},
"schema_version": "1.0",
"source": {
"id": "1906.03158",
"kind": "arxiv",
"version": 1
}
}