Paper Citation Record · LEDGER

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

As of 5 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2604.19445.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.19445 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:50:44.283661Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:42:14.320188Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-06-28T22:42:46.064613Z

Reference resolution

25 of 25 outbound references displayed

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verified fuzzy23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67ed378e-21c9-4ec6-aedd-5ddcf10de613 · outbound

This paper cites Unirestore: Unified perceptual and task-oriented image restoration model using diffusion prior.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Unirestore: Unified perceptual and task-oriented image restoration model using diffusion prior

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.324615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dbca4eba-f1a5-4c40-9415-98a3b19be197 · outbound

This paper cites Simple baselines for image restoration.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Simple baselines for image restoration

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.330697Z

Source-reported events for the cited work

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Observation 2b48ba9e-42ee-45a4-b7bd-9c3525f5a7a5 · outbound

This paper cites Learn- ing a sparse transformer network for effective image derain- ing.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Learn- ing a sparse transformer network for effective image derain- ing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.322688Z

Source-reported events for the cited work

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Observation 6836178e-9638-46d4-8a3d-e7f2332b3f73 · outbound

This paper cites Foundir-v2: Optimizing pre-training data mixtures for image restoration foundation model.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Foundir-v2: Optimizing pre-training data mixtures for image restoration foundation model

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:53:29.686957Z

Source-reported events for the cited work

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Observation b2a4b374-57b2-48f4-bd26-0a42b9e8ec3f · outbound

This paper cites Bio-inspired im- age restoration.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Bio-inspired im- age restoration

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.326404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76fd8b0d-c9fd-452a-8224-52500004ff7a · outbound

This paper cites Visual- in-visual: A unified and efficient baseline for image restora- tion.IEEE TPAMI.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Visual- in-visual: A unified and efficient baseline for image restora- tion.IEEE TPAMI

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.328384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f2bb0f6-0029-4149-add8-8b13e571ec15 · outbound

This paper cites Learning domain- aware task prompt representations for multi-domain all-in- one image restoration.arXiv preprint arXiv:2603.01725.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Learning domain- aware task prompt representations for multi-domain all-in- one image restoration.arXiv preprint arXiv:2603.01725

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:53:29.689496Z

Source-reported events for the cited work

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Observation bd4864cd-f54e-4ad4-a23a-d5e16123edf5 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Scaling rectified flow transformers for high-resolution image synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.329113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b4a2569-3ef2-4d1b-9f8c-15a62e34c0aa · outbound

This paper cites Weatherbench: A real-world bench- mark dataset for all-in-one adverse weather image restora- tion.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Weatherbench: A real-world bench- mark dataset for all-in-one adverse weather image restora- tion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.331040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2aa04bde-da60-492c-bb83-79787e5630f2 · outbound

This paper cites A survey on all-in-one image restoration: Tax- onomy, evaluation and future trends.IEEE TPAMI.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results A survey on all-in-one image restoration: Tax- onomy, evaluation and future trends.IEEE TPAMI

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.332984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7912cfdd-2c55-4c3c-aa53-054dd003cd07 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Perceptual losses for real-time style transfer and super-resolution

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.337029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 26853b02-c0b9-451a-bf16-060efeee41c5 · outbound

This paper cites Efficient frequency domain-based trans- formers for high-quality image deblurring.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Efficient frequency domain-based trans- formers for high-quality image deblurring

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.317115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30095d5c-50e8-4c3f-857e-678c0ee215de · outbound

This paper cites All-in-one image restoration for unknown cor- ruption.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results All-in-one image restoration for unknown cor- ruption

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.319022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b145d210-c319-4b27-9097-328124048f6f · outbound

This paper cites Foundir: Unleashing million-scale training data to advance foundation models for image restoration.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Foundir: Unleashing million-scale training data to advance foundation models for image restoration

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.327226Z

Source-reported events for the cited work

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Observation a3c7d27b-6cd2-46db-a74c-d2e3e9731ea8 · outbound

This paper cites Ntire 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Ntire 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.313022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28da4f1a-2749-4fb0-8795-ae4fe0502d23 · outbound

This paper cites LoViF 2026 the first challenge on human- oriented semantic image quality assessment: Methods and results.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results LoViF 2026 the first challenge on human- oriented semantic image quality assessment: Methods and results

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.323082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c12c5a59-75ee-44e8-85df-7daf1d19f16b · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Enhanced deep residual networks for single image super-resolution

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.320897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f1516bce-5215-4df1-b953-26e03188668c · outbound

This paper cites LoViF 2026 the first challenge on holistic quality assessment for 4d world model (physcore).

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results LoViF 2026 the first challenge on holistic quality assessment for 4d world model (physcore)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.335016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd46cd40-57cd-4c09-9edd-1b9c4d28555b · outbound

This paper cites Promptir: Prompting for all-in- one image restoration.NeurIPS.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Promptir: Prompting for all-in- one image restoration.NeurIPS

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.302600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5b5ed11a-1533-45cb-aa9d-d1708aa15422 · outbound

This paper cites LoViF 2026 the first challenge on weather removal in videos.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results LoViF 2026 the first challenge on weather removal in videos

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.324891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 23494fcb-6d48-4043-9555-7399d0805d3e · outbound

This paper cites Strrnet: Semantics-guided two-stage rain- drop removal network.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Strrnet: Semantics-guided two-stage rain- drop removal network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.317551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81bb86d3-1b71-456d-b6bf-87e5f98abdf6 · outbound

This paper cites Com- plexity experts are task-discriminative learners for any image restoration.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Com- plexity experts are task-discriminative learners for any image restoration

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.311232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd912d8b-219a-4c3f-94c2-246af9b25340 · outbound

This paper cites The 1st LoViF challenge on efficient vlm for multimodal cre- ative quality scoring: Methods and results.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results The 1st LoViF challenge on efficient vlm for multimodal cre- ative quality scoring: Methods and results

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.321247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 739aa727-2507-4ad5-8be0-45b783a3a1c1 · outbound

This paper cites Selective hourglass mapping for universal image restoration based on diffusion model.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Selective hourglass mapping for universal image restoration based on diffusion model

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.319459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 415b1768-a46a-4f68-a229-687b64e97f19 · outbound

This paper cites Wave-mamba: Wavelet state space model for ultra-high- definition low-light image enhancement.

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results Wave-mamba: Wavelet state space model for ultra-high- definition low-light image enhancement

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T19:05:04.306976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation cdabf0fc-d77e-4b0f-80fb-7e101ce6c119 · inbound

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration cites this paper.

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:46.065881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.