Pith Number
pith:I7CFW5NR
pith:2019:I7CFW5NRCHLXXIT6EDK2YA3LLW
not attested
not anchored
not stored
refs pending
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
arxiv:1909.10660 v3 · 2019-09-24 · cs.LG · q-fin.ST
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I7CFW5NRCHLXXIT6EDK2YA3LLW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:22:41.709833Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
47c45b75b111d77ba27e20d5ac036b5d810d429848f90505acaf5fba16113b6d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I7CFW5NRCHLXXIT6EDK2YA3LLW \
| 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: 47c45b75b111d77ba27e20d5ac036b5d810d429848f90505acaf5fba16113b6d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f84a662536e011752c86bc02b456a9eaec0fb4bd2318c9ac7300913c4970c48f",
"cross_cats_sorted": [
"q-fin.ST"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-09-24T00:19:32Z",
"title_canon_sha256": "99ff396367157dbb30203d4dd50f21f16fd255ba2fc8450ac788c24c340d5592"
},
"schema_version": "1.0",
"source": {
"id": "1909.10660",
"kind": "arxiv",
"version": 3
}
}