Pith Number
pith:7GV23MFB
pith:2018:7GV23MFBPYYL6K67BIKYGRTNP5
not attested
not anchored
not stored
refs pending
Gaussian Word Embedding with a Wasserstein Distance Loss
arxiv:1808.07016 v7 · 2018-08-21 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7GV23MFBPYYL6K67BIKYGRTNP5}
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
✓
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 | 2026-05-18T00:06:36.912861Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9abadb0a17e30bf2bdf0a1583466d7f51e0a6a7727f94f2b8ab7e2cae85cdbc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7GV23MFBPYYL6K67BIKYGRTNP5 \
| 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: f9abadb0a17e30bf2bdf0a1583466d7f51e0a6a7727f94f2b8ab7e2cae85cdbc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d436268c2750f5e1f9682964570130c605a70a7473c6cdca28f663ffd2ab6b33",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-08-21T16:59:39Z",
"title_canon_sha256": "188f2e419d18d5974495fd1c88843b64b6f972ed4998cc9920c2c209a8e3452b"
},
"schema_version": "1.0",
"source": {
"id": "1808.07016",
"kind": "arxiv",
"version": 7
}
}