Pith Number
pith:EME3D7NY
pith:2018:EME3D7NYAVDOQRCSQR2UFS4BGW
not attested
not anchored
not stored
refs pending
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
arxiv:1811.02745 v1 · 2018-11-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EME3D7NYAVDOQRCSQR2UFS4BGW}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:01:20.896561Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2309b1fdb80546e84452847542cb81359bd7cd42bae2e75a1d24c195ab081136
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EME3D7NYAVDOQRCSQR2UFS4BGW \
| 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: 2309b1fdb80546e84452847542cb81359bd7cd42bae2e75a1d24c195ab081136
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9fae2c37fdf671b608e54e183363f1dd5651d99bbb0db2520423779625d21f28",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-11-07T03:33:03Z",
"title_canon_sha256": "1651e4b9a88abcbc0310bf342ed01ba429010068887a54ebf118190581bf1578"
},
"schema_version": "1.0",
"source": {
"id": "1811.02745",
"kind": "arxiv",
"version": 1
}
}