Pith Number
pith:DLQIOPYE
pith:2025:DLQIOPYELDHIXC6TCDMHKVD7RQ
not attested
not anchored
not stored
refs pending
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
arxiv:2509.07319 v1 · 2025-09-09 · cs.IR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLQIOPYELDHIXC6TCDMHKVD7RQ}
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
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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.
Receipt and verification
| First computed | 2026-07-05T12:07:19.496230Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ae0873f0458ce8b8bd310d875547f8c2b5d8a301b72e7b07d201ccdd1668493
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLQIOPYELDHIXC6TCDMHKVD7RQ \
| 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: 1ae0873f0458ce8b8bd310d875547f8c2b5d8a301b72e7b07d201ccdd1668493
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5154775d07e96000ad6a57eba1834334959d1a23c9d0f8e52cbaba1afc0ce373",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2025-09-09T01:35:51Z",
"title_canon_sha256": "bc6537b5e0950b209e6cfca490e72fdecd0c869973702f22d36e3e3118c2596b"
},
"schema_version": "1.0",
"source": {
"id": "2509.07319",
"kind": "arxiv",
"version": 1
}
}