Pith Number
pith:RFSJ3COX
pith:2025:RFSJ3COXIGHRBEOOZBYVMCGL3J
not attested
not anchored
not stored
refs pending
Initial Model Incorporation for Deep Learning FWI: Pretraining or Denormalization?
arxiv:2506.05484 v1 · 2025-06-05 · cs.LG · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RFSJ3COXIGHRBEOOZBYVMCGL3J}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T11:17:03.451916Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
89649d89d7418f1091cec8715608cbda7b68985b7115f2b506fdf78f08932a77
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RFSJ3COXIGHRBEOOZBYVMCGL3J \
| 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: 89649d89d7418f1091cec8715608cbda7b68985b7115f2b506fdf78f08932a77
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f6a79ed26f4f16ae9d534dd8e68ea1c69b51eb7debca26efefcb1adbf5367c21",
"cross_cats_sorted": [
"physics.geo-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-05T18:06:37Z",
"title_canon_sha256": "40b1f6ea971bbc261f93b5fd345082ee2709945536a0fe7fdd4b00f1c1e34c20"
},
"schema_version": "1.0",
"source": {
"id": "2506.05484",
"kind": "arxiv",
"version": 1
}
}