Pith Number
pith:MP6AYQ3B
pith:2024:MP6AYQ3BW63DABYVP6F2MEFUNR
not attested
not anchored
not stored
refs pending
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
arxiv:2405.12493 v2 · 2024-05-21 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MP6AYQ3BW63DABYVP6F2MEFUNR}
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 | 2026-07-05T11:16:49.187066Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63fc0c4361b7b63007157f8ba610b46c42944e3cb5c6ef63e15f748fd5253f3e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MP6AYQ3BW63DABYVP6F2MEFUNR \
| 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: 63fc0c4361b7b63007157f8ba610b46c42944e3cb5c6ef63e15f748fd5253f3e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1e895b3c3914a615ce62c4328784f366a2612726cfc56a380590f51895782574",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-21T04:30:09Z",
"title_canon_sha256": "0449dd51997a4d116a50c70e9fb3938d1a31aae80cbac85b389f88ab28beba6e"
},
"schema_version": "1.0",
"source": {
"id": "2405.12493",
"kind": "arxiv",
"version": 2
}
}