Pith Number
pith:RNNTZ6FK
pith:2024:RNNTZ6FKU7EBWHOQ2YVNHGV5YW
not attested
not anchored
not stored
refs pending
Influence Functions for Scalable Data Attribution in Diffusion Models
arxiv:2410.13850 v5 · 2024-10-17 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RNNTZ6FKU7EBWHOQ2YVNHGV5YW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:09:01.794987Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8b5b3cf8aaa7c81b1dd0d62ad39abdc5b2b830533c7698fc935a6cc8e0ab0c6a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RNNTZ6FKU7EBWHOQ2YVNHGV5YW \
| 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: 8b5b3cf8aaa7c81b1dd0d62ad39abdc5b2b830533c7698fc935a6cc8e0ab0c6a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "97c615af68966df11047cb794efe2509aedc15e4f8fdc9a7464b69581b495b9b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-17T17:59:02Z",
"title_canon_sha256": "3ff47f2cdc8c786b04e3af95efe13c0818b93eb4fad17fb0fc64be8fa07ce48f"
},
"schema_version": "1.0",
"source": {
"id": "2410.13850",
"kind": "arxiv",
"version": 5
}
}