Pith Number

pith:7RJYH7OR

pith:2025:7RJYH7ORBN36ZWMKSW7VMPRX3P

not attested not anchored not stored refs pending

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3

Hongqiu Wang, Lei Zhu, Sicheng Yang, Sixiang Chen, Zhaohu Xing

arxiv:2509.00833 v1 · 2025-08-31 · cs.CV

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{7RJYH7ORBN36ZWMKSW7VMPRX3P}

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 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.

Cited by

6 papers in Pith

DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation

Recover Semantics First, Generate Better: Improved Latent Modeling for 3D MRI Reconstruction and Cross-Contrast Synthesis

HD-DinoMoE: A Class-Aware Hierarchical Dual Mixture-of-Experts Network for Scleral Anomaly Segmentation in Complex Acquisition Scenarios

SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models

Uncovering the Latent Potential of Deep Intermediate Representations

Receipt and verification

First computed	2026-07-05T12:02:23.395205Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fc5383fdd10b77ecd98a95bf563e37dbf4465a9f7860e5fe54a32c20cd2e8a7f

Aliases

arxiv: 2509.00833 · arxiv_version: 2509.00833v1 · doi: 10.48550/arxiv.2509.00833 · pith_short_12: 7RJYH7ORBN36 · pith_short_16: 7RJYH7ORBN36ZWMK · pith_short_8: 7RJYH7OR

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/7RJYH7ORBN36ZWMKSW7VMPRX3P \
  | 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: fc5383fdd10b77ecd98a95bf563e37dbf4465a9f7860e5fe54a32c20cd2e8a7f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8a130691ea547724ddb4240850aa67cc99ff04a9f2896150777a17fcf5d85b55",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-08-31T13:06:37Z",
    "title_canon_sha256": "b6588ef8d4ca4caa4997468f2718c58a6c404c3830c34f09f75fb848d6dc8667"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.00833",
    "kind": "arxiv",
    "version": 1
  }
}