Pith Number
pith:B2WH56FO
pith:2026:B2WH56FOPC2CAYCLR6G46AHS3Q
not attested
not anchored
not stored
refs pending
Directional Influence Function: Estimating Training Data Influence in Constrained Learning
arxiv:2607.23388 v1 · 2026-07-25 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B2WH56FOPC2CAYCLR6G46AHS3Q}
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 | 2026-07-28T01:22:50.233535Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0eac7ef8ae78b420604b8f8dcf00f2dc3fc7bce5dc9ae6433ebad6e395d70d6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B2WH56FOPC2CAYCLR6G46AHS3Q \
| 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: 0eac7ef8ae78b420604b8f8dcf00f2dc3fc7bce5dc9ae6433ebad6e395d70d6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "60c427114815c0409beab376c07222424964a68a713e78adeef3ecb529b294d5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-25T22:50:09Z",
"title_canon_sha256": "aef69ba6328cb5f975eb13dc62484773cc913ccbeaae5c952f9e1439291b3d1f"
},
"schema_version": "1.0",
"source": {
"id": "2607.23388",
"kind": "arxiv",
"version": 1
}
}