Pith Number

pith:FS4MSJJP

pith:2026:FS4MSJJPISHW6XOFG4ZX62EUK2

not attested not anchored not stored refs pending

Polygon-mamba: Retinal vessel segmentation using polygon scanning mamba and space-frequency collaborative attention

Juan Zhou, Wen Li, Xiong Li, Yuanyuan Peng

Polygon scanning mamba maintains connectivity of small retinal vessels during segmentation.

arxiv:2605.10581 v2 · 2026-05-11 · cs.CV

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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

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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

We design a hybrid CNN-Mamba fusion network that integrates polygon scanning mamba and space-frequency collaborative attention mechanism for the detection of small vessels... our model demonstrated F1 scores of 0.8283, 0.8282, and 0.8251... on DRIVE, STARE, and CHASE_DB1.

C2weakest assumption

That the polygon scanning in PS-VSS and the space-frequency attention in SFCAM will generalize beyond the three tested datasets and actually preserve connectivity for small vessels without introducing new artifacts or requiring extensive hyperparameter tuning.

C3one line summary

Polygon-Mamba achieves F1 scores of 0.8283, 0.8282, and 0.8251 on DRIVE, STARE, and CHASE_DB1 by combining polygon scanning Mamba with space-frequency collaborative attention to better detect small retinal vessels.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-28T01:05:12.569650Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2cb8c9252f448f6f5dc537337f689456bec9f7ee46e1156e7e1f639985f364d9

Aliases

arxiv: 2605.10581 · arxiv_version: 2605.10581v2 · doi: 10.48550/arxiv.2605.10581 · pith_short_12: FS4MSJJPISHW · pith_short_16: FS4MSJJPISHW6XOF · pith_short_8: FS4MSJJP

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FS4MSJJPISHW6XOFG4ZX62EUK2 \
  | 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: 2cb8c9252f448f6f5dc537337f689456bec9f7ee46e1156e7e1f639985f364d9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6e46cedcb3804996da95c62c9731241168ef71db28e10c2365fbcd4d0ff2b20f",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-11T13:53:51Z",
    "title_canon_sha256": "c1565d94e5f94757b882c6dc895454730b2be520f6263f2909f39472b2f918e2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.10581",
    "kind": "arxiv",
    "version": 2
  }
}