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pith:5LP3HL3P

pith:2026:5LP3HL3P4C25OQZE642DN7GHN4
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Vector Scaffolding: Inter-Scale Orchestration for Differentiable Image Vectorization

Jaerin Lee, Kanggeon Lee, Kyoung Mu Lee

Vector Scaffolding balances area and boundary gradients through hierarchical orchestration to stabilize curve optimization in differentiable vectorization.

arxiv:2605.11913 v2 · 2026-05-12 · cs.CV

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\pithnumber{5LP3HL3P4C25OQZE642DN7GHN4}

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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

Experiments demonstrate that our approach accelerates optimization by 2.5× while simultaneously improving PSNR by up to 1.4 dB over the previous state of the art.

C2weakest assumption

The mathematical imbalance between area and boundary gradients is the primary cause of topology collapse, and the proposed Interior Gradient Aggregation plus scheduling will stabilize learning without introducing new instabilities or requiring extensive hyperparameter tuning.

C3one line summary

Vector Scaffolding uses Interior Gradient Aggregation, Progressive Stratification, and Rapid Inflation Scheduling to achieve 2.5x faster optimization and up to 1.4 dB higher PSNR in differentiable vectorization.

Formal links

1 machine-checked theorem link

Receipt and verification
First computed 2026-06-30T01:16:30.654324Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

eadfb3af6fe0b5d74324f73436fcc76f0717e3e63b1eb4a658ea2da13c40d7eb

Aliases

arxiv: 2605.11913 · arxiv_version: 2605.11913v2 · doi: 10.48550/arxiv.2605.11913 · pith_short_12: 5LP3HL3P4C25 · pith_short_16: 5LP3HL3P4C25OQZE · pith_short_8: 5LP3HL3P
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5LP3HL3P4C25OQZE642DN7GHN4 \
  | 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: eadfb3af6fe0b5d74324f73436fcc76f0717e3e63b1eb4a658ea2da13c40d7eb
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4095119bd107fa364c959c7a4b124bb32dab9196495c39298e08b0bd1050a64b",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-12T10:27:30Z",
    "title_canon_sha256": "319d3e2b86916c4a3176c75001c8bc9b7995bac7cfca6362f2a2943d39f35c82"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.11913",
    "kind": "arxiv",
    "version": 2
  }
}