Pith Number

pith:JBRABTJ2

pith:2026:JBRABTJ2CY3GU5LFIRABHXSRTD

not attested not anchored not stored refs resolved

PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution

Xiaokang Yang, Xiaoyang Liu, Yulun Zhang, Zheng Chen, Zihang Xu

PRISM uses flow matching on paired latents and uncertainty-aware residuals to correct unreliable text priors and refine stroke boundaries inside a single diffusion pass.

arxiv:2605.13027 v1 · 2026-05-13 · cs.CV

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\pithnumber{JBRABTJ2CY3GU5LFIRABHXSRTD}

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4 Citations 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

PRISM achieves state-of-the-art performance with millisecond-level inference on both synthetic and real-world benchmarks.

C2weakest assumption

That the privileged training-time prior constructed from paired low-quality/high-quality latents combined with uncertainty-aware structural residuals will reliably correct stroke boundaries under severe real-world degradation without introducing new identity-altering errors.

C3one line summary

PRISM improves text image super-resolution by rectifying global priors with flow-matching and modeling local structural uncertainty in a single diffusion pass, achieving SOTA results at millisecond inference.

References

58 extracted · 58 resolved · 2 Pith anchors

[1] One-step effective diffusion network for real-world image super-resolution 2024

[2] Tsd-sr: One-step diffusion with target score distillation for real-world image super- resolution 2025

[3] One diffusion step to real-world super-resolution via flow trajectory distillation 2025

[4] Learning generative structure prior for blind text image super-resolution 2023

[5] Scene text image super-resolution in the wild 2020

Receipt and verification

First computed	2026-05-18T03:08:59.838579Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

486200cd3a16366a7565444013de5198d4f83d9eb201f79c892e2815823b35bd

Aliases

arxiv: 2605.13027 · arxiv_version: 2605.13027v1 · doi: 10.48550/arxiv.2605.13027 · pith_short_12: JBRABTJ2CY3G · pith_short_16: JBRABTJ2CY3GU5LF · pith_short_8: JBRABTJ2

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/JBRABTJ2CY3GU5LFIRABHXSRTD \
  | 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: 486200cd3a16366a7565444013de5198d4f83d9eb201f79c892e2815823b35bd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "98948ade40d430932f21ccf4ef2028692b1ce5931870edbb2adf3cdcb6f2f355",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T05:31:06Z",
    "title_canon_sha256": "fc3df796ac8095daeaa012dbbcae733085e9104f49cb4ebd6e35443299024786"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13027",
    "kind": "arxiv",
    "version": 1
  }
}