Pith Number

pith:3BXLLTP7

pith:2026:3BXLLTP75PT5BEPQOIUOFYFC2D

not attested not anchored not stored refs pending

Topology-Aware Skeleton Detection via Lighthouse-Guided Structured Inference

Daoyong Fu, Fan Yang, Ke Yang, Xiang Zhang, Zhaohuan Zhan

Treating detected junctions and breakpoints as lighthouses allows a network to reconnect broken skeleton segments along low-cost paths in natural images.

arxiv:2604.20123 v2 · 2026-04-22 · cs.CV

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\usepackage{pith}
\pithnumber{3BXLLTP75PT5BEPQOIUOFYFC2D}

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Record completeness

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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

Experimental results on four public datasets demonstrate that the proposed method achieves competitive detection accuracy while substantially improving skeleton connectivity and structural integrity.

C2weakest assumption

That detected junction points and breakpoints reliably serve as effective lighthouses for low-cost path reconnection without introducing false connections or missing real topology in varied natural images.

C3one line summary

Lighthouse-Skel uses learned junction points and breakpoints to guide reconnection of discontinuous skeleton segments, improving structural integrity over standard point-level detection.

Receipt and verification

First computed	2026-06-08T01:04:05.278750Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d86eb5cdffebe7d091f07228e2e0a2d0daaf56d405ecd1727ca2e5c869ff358e

Aliases

arxiv: 2604.20123 · arxiv_version: 2604.20123v2 · doi: 10.48550/arxiv.2604.20123 · pith_short_12: 3BXLLTP75PT5 · pith_short_16: 3BXLLTP75PT5BEPQ · pith_short_8: 3BXLLTP7

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/3BXLLTP75PT5BEPQOIUOFYFC2D \
  | 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: d86eb5cdffebe7d091f07228e2e0a2d0daaf56d405ecd1727ca2e5c869ff358e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "70eba4ff5c580967962900a0cbda257b58580b54174a05bb0eb64fad8b831724",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-22T02:43:10Z",
    "title_canon_sha256": "87ece9196b6c005de979c7d67f3c2a49a83334b3d4db322e6e35e16b6a81ba30"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.20123",
    "kind": "arxiv",
    "version": 2
  }
}