Pith Number
pith:DJ4XZJ4J
pith:2016:DJ4XZJ4JULZNWSES2SXDVXBXB6
not attested
not anchored
not stored
refs pending
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
arxiv:1607.06514 v1 · 2016-07-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DJ4XZJ4JULZNWSES2SXDVXBXB6}
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
· sign in to
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 | 2026-05-18T01:10:41.596677Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1a797ca789a2f2db4892d4ae3adc370f8b2a157ec018242de3a5fbcefaa18f03
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DJ4XZJ4JULZNWSES2SXDVXBXB6 \
| 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: 1a797ca789a2f2db4892d4ae3adc370f8b2a157ec018242de3a5fbcefaa18f03
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a923afb7a1a994c0d4aefba8ce77163b07339d5fa12e5b20272166cbcc76b586",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-07-21T21:51:58Z",
"title_canon_sha256": "58b358192ae7880943397b5b903e961fd73de71cc57bcee13bfee2cac266b8d8"
},
"schema_version": "1.0",
"source": {
"id": "1607.06514",
"kind": "arxiv",
"version": 1
}
}