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pith:OZAXFIOK

pith:2026:OZAXFIOKJ23ZIZQAMONHDV5UYG
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Learning Stratigraphically Consistent Relative Geologic Time from 3D Seismic Data via Sinusoidal Mapping

Hui Gao, Xinming Wu, Yimin Dou, Zhengfa Bi

Mapping relative geologic time to a sinusoidal space lets deep learning produce more accurate and topologically consistent stratigraphic fields from 3D seismic data.

arxiv:2605.01273 v3 · 2026-05-02 · physics.geo-ph

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\pithnumber{OZAXFIOKJ23ZIZQAMONHDV5UYG}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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.

Claims

C1strongest claim

RGT-Est achieves state-of-the-art performance among AI-based methods without horizon constraints, and attains substantially higher horizon-correlation accuracy and global topological consistency once sparse priors are incorporated.

C2weakest assumption

That transforming RGT into a sinusoidal space explicitly encodes periodic stratigraphic semantics and alleviates over-smoothing of fine horizons without introducing new artifacts or losing topological information in complex real-world structures.

C3one line summary

RGT-Est transforms RGT estimation into a sinusoidal space with joint losses to capture fine horizons and global stratigraphic order from seismic data, outperforming prior AI methods especially with sparse horizon priors.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-21T01:05:19.705349Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

764172a1ca4eb7946600639a71d7b4c18193433ba7fc2237174707876ea2a9db

Aliases

arxiv: 2605.01273 · arxiv_version: 2605.01273v3 · doi: 10.48550/arxiv.2605.01273 · pith_short_12: OZAXFIOKJ23Z · pith_short_16: OZAXFIOKJ23ZIZQA · pith_short_8: OZAXFIOK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OZAXFIOKJ23ZIZQAMONHDV5UYG \
  | 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: 764172a1ca4eb7946600639a71d7b4c18193433ba7fc2237174707876ea2a9db
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "95a31b8d3138d04fa53e015e898f87a09161495c72877a51f43d8dff237297a6",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "physics.geo-ph",
    "submitted_at": "2026-05-02T06:18:45Z",
    "title_canon_sha256": "592607d4841a47e735d0b0c8516efa0142499fc2414935022dd67072fa7ce690"
  },
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  "source": {
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    "kind": "arxiv",
    "version": 3
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}