Pith Number

pith:PYFXKIN4

pith:2026:PYFXKIN4EDL3CTKTLW7CKUUZAX

not attested not anchored not stored refs pending

Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy

Jiabao Chen, Jialin Peng, Shan Xiong

Prefer-DAS adapts electron microscopy segmentation across domains by aligning local human preferences with sparse prompts.

arxiv:2602.19423 v4 · 2026-02-23 · cs.CV

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\pithnumber{PYFXKIN4EDL3CTKTLW7CKUUZAX}

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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

the Prefer-DAS model can effectively perform both weakly-supervised and unsupervised DAS, depending on the availability of points and human preferences. Comprehensive experiments on four challenging DAS tasks demonstrate that our model outperforms SAM-like methods as well as unsupervised and weakly-supervised DAS methods in both automatic and interactive segmentation modes, highlighting strong generalizability and flexibility. Additionally, the performance of our model is very close to or even exceeds that of supervised models.

C2weakest assumption

Local human preferences provide reliable, spatially consistent signals that can be aligned via LPO/SLPO without introducing bias or noise that degrades segmentation accuracy, and that UPO can safely substitute when feedback is missing.

C3one line summary

Prefer-DAS integrates sparse promptable learning with local direct preference optimization and unsupervised variants to achieve strong domain adaptive segmentation performance in electron microscopy, outperforming prior unsupervised and weakly-supervised methods while approaching supervised results.

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-20T00:01:39.734590Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7e0b7521bc20d7b14d535dbe25529905da34c8f7a9f14b52e72ae3dfa7545cd0

Aliases

arxiv: 2602.19423 · arxiv_version: 2602.19423v4 · doi: 10.48550/arxiv.2602.19423 · pith_short_12: PYFXKIN4EDL3 · pith_short_16: PYFXKIN4EDL3CTKT · pith_short_8: PYFXKIN4

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/PYFXKIN4EDL3CTKTLW7CKUUZAX \
  | 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: 7e0b7521bc20d7b14d535dbe25529905da34c8f7a9f14b52e72ae3dfa7545cd0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3d93c7ed408c0f5f5e65d98c3a2675e3c19d7d31ffad5000b0deb409a77a85bf",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-02-23T01:39:03Z",
    "title_canon_sha256": "72409e91d49227d8bc856e3a1e3a1f47d842fafa2c6e6bbffe39c7e8f8654ea5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.19423",
    "kind": "arxiv",
    "version": 4
  }
}