Pith Number
pith:76IDXPSD
pith:2015:76IDXPSD5SEVMVX2X6PW7LGZUT
not attested
not anchored
not stored
refs pending
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
arxiv:1511.05298 v3 · 2015-11-17 · cs.CV · cs.LG · cs.NE · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{76IDXPSD5SEVMVX2X6PW7LGZUT}
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 | 2026-05-18T01:17:25.016184Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff903bbe43ec895656fabf9f6facd9a4e698436ac1ad66b77923fd3fbeea5edc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/76IDXPSD5SEVMVX2X6PW7LGZUT \
| 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: ff903bbe43ec895656fabf9f6facd9a4e698436ac1ad66b77923fd3fbeea5edc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dac1d23c1ec5d5ba8740a07e9ec1d3ae2ef711f9672e5a63d0ab69a0f860cedb",
"cross_cats_sorted": [
"cs.LG",
"cs.NE",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-11-17T07:49:58Z",
"title_canon_sha256": "10dde40d3320f0a4bef70e3e5fd63aa6bdb95c44cafad1d81f455d82436b30a2"
},
"schema_version": "1.0",
"source": {
"id": "1511.05298",
"kind": "arxiv",
"version": 3
}
}