Pith Number
pith:BUI7VZF3
pith:2026:BUI7VZF3BWPRUAWUBDKBZNE3Y3
not attested
not anchored
not stored
refs pending
iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models
arxiv:2605.19301 v1 · 2026-05-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BUI7VZF3BWPRUAWUBDKBZNE3Y3}
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 | 2026-05-20T01:05:38.356546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d11fae4bb0d9f1a02d408d41cb49bc6cebd1e27b981d747e9ec789ca2fa318e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BUI7VZF3BWPRUAWUBDKBZNE3Y3 \
| 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: 0d11fae4bb0d9f1a02d408d41cb49bc6cebd1e27b981d747e9ec789ca2fa318e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "812589040fae4b938947a19b4b7f2ab8d9691767a1e1786a4090995fe3b33afb",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-19T03:22:14Z",
"title_canon_sha256": "11bf2c0a483599d02850e0d466bcef23205b87058619a82d6e71249721b720ee"
},
"schema_version": "1.0",
"source": {
"id": "2605.19301",
"kind": "arxiv",
"version": 1
}
}