Pith Number
pith:G25MHO2W
pith:2024:G25MHO2W6BFUODFENPEZM23FSX
not attested
not anchored
not stored
refs pending
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model
arxiv:2408.16634 v3 · 2024-08-29 · cs.CY · cs.AI · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G25MHO2W6BFUODFENPEZM23FSX}
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.
Receipt and verification
| First computed | 2026-07-05T11:54:08.574295Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36bac3bb56f04b470ca46bc9966b6595fa638797d4a8fca2bb8579cc14c149a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G25MHO2W6BFUODFENPEZM23FSX \
| 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: 36bac3bb56f04b470ca46bc9966b6595fa638797d4a8fca2bb8579cc14c149a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "46b628fbf94a83b2b677b28509495a186ab5bf26a49b96c4d33d646229a54b65",
"cross_cats_sorted": [
"cs.AI",
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2024-08-29T15:39:33Z",
"title_canon_sha256": "dbe1fdc82270da1c8a2ccf612902df884296baa21bc2499fa47555ef85df3c92"
},
"schema_version": "1.0",
"source": {
"id": "2408.16634",
"kind": "arxiv",
"version": 3
}
}