Pith Number

pith:WD3KNBBF

pith:2026:WD3KNBBFQUVZ42DWG2JKO7EMDB

not attested not anchored not stored refs resolved

ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing

Bla\v{z} Rolih, Filip Wolf, Luka \v{C}ehovin Zajc, Matic Fu\v{c}ka

Remote sensing change detection improves by generating distributions of plausible masks in latent space with a rectified flow model.

arxiv:2605.15375 v1 · 2026-05-14 · cs.CV · cs.AI

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\pithnumber{WD3KNBBFQUVZ42DWG2JKO7EMDB}

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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

Across four benchmarks, ChangeFlow achieves an average F1 of 80.4%, improving by 1.3 points on average over the previous best method, while maintaining inference speed comparable to recent strong baselines.

C2weakest assumption

That a structured yet lightweight conditioning signal in latent space is sufficient for the rectified-flow model to capture both global consistency of changed regions and the distribution of plausible masks that reflect annotation ambiguity.

C3one line summary

ChangeFlow reformulates remote sensing change detection as latent rectified-flow mask synthesis, reaching 80.4% average F1 across four benchmarks with 1.3-point gain and sampling-based ensembling.

References

62 extracted · 62 resolved · 3 Pith anchors

[1] Layer Normalization 2016 · arXiv:1607.06450

[2] In: Proceedings of the IEEE/CVF International Conference on Computer Vision 2025

[3] In: IEEE/CVF Winter Conference on Applications of Computer Vision 2025

[4] In: IEEE International Geoscience and Remote Sensing Symposium 2022

[5] arXiv preprint arXiv:2512.05140 (2025) 4 2025

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:00:55.218719Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b0f6a68425852b9e68763692a77c8c187bbcc96d49445f2c5ab425ef79d31f14

Aliases

arxiv: 2605.15375 · arxiv_version: 2605.15375v1 · doi: 10.48550/arxiv.2605.15375 · pith_short_12: WD3KNBBFQUVZ · pith_short_16: WD3KNBBFQUVZ42DW · pith_short_8: WD3KNBBF

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/WD3KNBBFQUVZ42DWG2JKO7EMDB \
  | 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: b0f6a68425852b9e68763692a77c8c187bbcc96d49445f2c5ab425ef79d31f14

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "648b296a36fd1605e3ac6db99b038d47ede44849a3c89905767a689d2e70b381",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T20:04:16Z",
    "title_canon_sha256": "23fdeb83ade7caa29f0e62642fb5b5a69e6e460ead47b8c2cd849c4b395e83b2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15375",
    "kind": "arxiv",
    "version": 1
  }
}