Pith Number
pith:2FPFEYS4
pith:2025:2FPFEYS42HBE4ND7RD5F4FOH5D
not attested
not anchored
not stored
refs pending
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
arxiv:2511.20196 v2 · 2025-11-25 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2FPFEYS42HBE4ND7RD5F4FOH5D}
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 | 2026-06-29T01:14:26.606782Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d15e52625cd1c24e347f88fa5e15c7e8d9145db3f2caa8424f517ec6da4201ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2FPFEYS42HBE4ND7RD5F4FOH5D \
| 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: d15e52625cd1c24e347f88fa5e15c7e8d9145db3f2caa8424f517ec6da4201ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2c9b67b96f908246fcb59589f8496301b486d120016b3591d164f0867a52a43e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-11-25T11:22:45Z",
"title_canon_sha256": "048f37fb9d529fb004b5e0705b180eaff6f939dc0a9a67452c3dbcbdcb23c519"
},
"schema_version": "1.0",
"source": {
"id": "2511.20196",
"kind": "arxiv",
"version": 2
}
}