Pith Number
pith:JYNMVR2A
pith:2023:JYNMVR2ANQ2Z2A7ZJDKYQMXTGT
not attested
not anchored
not stored
refs pending
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
arxiv:2305.10758 v2 · 2023-05-18 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JYNMVR2ANQ2Z2A7ZJDKYQMXTGT}
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 | 2026-07-05T06:17:06.977765Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e1acac7406c359d03f948d58832f334dead44f1ced80106e72933a0a6c0b546
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JYNMVR2ANQ2Z2A7ZJDKYQMXTGT \
| 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: 4e1acac7406c359d03f948d58832f334dead44f1ced80106e72933a0a6c0b546
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "adda6e56724af7643ad73a3874f0d555b81cb017bb422f5cdd8306e47925ea9c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-18T06:57:06Z",
"title_canon_sha256": "040559005eb7be817ceeb1fc7b45e9281951493ea9667df96f2a73029d6b6815"
},
"schema_version": "1.0",
"source": {
"id": "2305.10758",
"kind": "arxiv",
"version": 2
}
}