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Paper Citation Record · LEDGER

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.12796.

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

pith.paper-citation-record.v1
2507.12796 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:44:50.788543Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 984556c9-f992-458b-96e4-e37ac555f3b1 · outbound

This paper cites A new document image quality assess- ment method based on hast derivations.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment A new document image quality assess- ment method based on hast derivations

Reference 1

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Observation 423f7273-b2ee-416f-adc4-7cc898b1d0d3 · outbound

This paper cites Document image quality assessment based on improved gradient magnitude similarity deviation.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Document image quality assessment based on improved gradient magnitude similarity deviation

Reference 2

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Observation 6e81e725-f231-41f6-96d7-c486bd92d4bc · outbound

This paper cites Document image quality assessment: A survey.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Document image quality assessment: A survey

Reference 3

Resolution
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Observation a3997eaa-6947-4678-a2e0-89f23b2e50bf · outbound

This paper cites Qwen2.5-VL Technical Report.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Qwen2.5-VL Technical Report

Reference 4

Resolution
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Observation 92787902-59f6-4cb2-b035-1eb7477ea526 · outbound

This paper cites Q-Ground: Image quality grounding with large multi-modality models.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Q-Ground: Image quality grounding with large multi-modality models

Reference 5

Resolution
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Observation fb3be6e1-bd74-49b6-9b09-e089ffb3150e · outbound

This paper cites Toward generalized image quality assessment: Relaxing the per- fect reference quality assumption.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Toward generalized image quality assessment: Relaxing the per- fect reference quality assumption

Reference 6

Resolution
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Source-reported events for the cited work

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Observation c436ef8f-d088-4117-b49f-b5849d5f91a9 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Image quality assessment: Unifying structure and texture similarity

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 970e85a5-4568-4cb6-a899-409d8ce1e679 · outbound

This paper cites Locally adaptive structure and texture similarity for image quality assessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Locally adaptive structure and texture similarity for image quality assessment

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 922cde5b-7bfc-4714-b5bc-5525887818a6 · outbound

This paper cites Perceptual quality assessment of smart- phone photography.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Perceptual quality assessment of smart- phone photography

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f026c484-9658-42ba-bf9a-b765855a842d · outbound

This paper cites Shift-tolerant perceptual similarity metric.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Shift-tolerant perceptual similarity metric

Reference 10

Resolution
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Source-reported events for the cited work

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Observation eec2422b-2b99-467a-ae79-f96056025ca2 · outbound

This paper cites KonIQ-10K: An ecologically valid database for deep learning of blind image quality assessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment KonIQ-10K: An ecologically valid database for deep learning of blind image quality assessment

Reference 11

Resolution
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Source-reported events for the cited work

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Observation b7d40d0b-8bb9-4030-8993-1feeeb45f212 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment LoRA: Low-rank adaptation of large language models

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation f04f3f1d-2561-461c-8cac-25f8a07fc08b · outbound

This paper cites Decoupled weight de- cay regularization.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Decoupled weight de- cay regularization

Reference 13

Resolution
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Observation b3ba618b-35c3-4b32-8c7e-96bc1abc4c98 · outbound

This paper cites PIPAL: a large-scale image quality assessment dataset for perceptual image restoration.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment PIPAL: a large-scale image quality assessment dataset for perceptual image restoration

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 0e03d40c-1f19-485f-906b-009f6971ce56 · outbound

This paper cites A deep learning approach to document image quality as- sessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment A deep learning approach to document image quality as- sessment

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4f79ff38-99c1-49e2-bdc1-77af4e8963d6 · outbound

This paper cites MUSIQ: Multi-scale image quality transformer.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment MUSIQ: Multi-scale image quality transformer

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 010243c0-4eee-487e-861f-28c62470d640 · outbound

This paper cites Kumar, F.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Kumar, F

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 8761996f-6508-4b05-81bf-297a90ab39c4 · outbound

This paper cites CG-DIQA: No- reference document image quality assessment based on character gradient.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment CG-DIQA: No- reference document image quality assessment based on character gradient

Reference 18

Resolution
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Observation 06c6b78c-873a-44ce-8cfa-d5d5ebf0a050 · outbound

This paper cites KADID- 10K: A large-scale artificially distorted iqa database.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment KADID- 10K: A large-scale artificially distorted iqa database

Reference 19

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1c6e35fb-2fca-4404-9cc3-ece628d65bdf · outbound

This paper cites Visual instruction tuning.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Visual instruction tuning

Reference 20

Resolution
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Source-reported events for the cited work

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Observation 57896214-48e5-4a33-83e8-29d0b0985d0a · outbound

This paper cites A deep transfer learning ap- proach to document image quality assessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment A deep transfer learning ap- proach to document image quality assessment

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 722fcba1-4e9c-4504-8031-6c310e3c07a0 · outbound

This paper cites Learning a no-reference quality metric for single-image super-resolution.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Learning a no-reference quality metric for single-image super-resolution

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f8394edc-3580-4de4-95d9-b10bb62bf6fb · outbound

This paper cites Unified blind quality assessment of compressed natural, graphic, and screen content images.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Unified blind quality assessment of compressed natural, graphic, and screen content images

Reference 23

Resolution
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Source-reported events for the cited work

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Observation a636b6b2-df4a-4d97-b79a-138cb4512a5e · outbound

This paper cites completely blind.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment completely blind

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7e1cf9d2-015d-46e0-bffc-f5e18044183d · outbound

This paper cites Training language models to follow instructions with hu- man feedback.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Training language models to follow instructions with hu- man feedback

Reference 25

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 80744ce1-8568-4798-96a9-adc48cc5b0eb · outbound

This paper cites PieAPP: Perceptual image-error assess- ment through pairwise preference.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment PieAPP: Perceptual image-error assess- ment through pairwise preference

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 71b52dac-32f0-4fc7-b24e-c1e029bd385c · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Learning transferable visual models from natural lan- guage supervision

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dbdaf7ba-5387-4b81-a304-7c896fc46eee · outbound

This paper cites Blind image quality assessment: A natural scene statis- tics approach in the dct domain.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Blind image quality assessment: A natural scene statis- tics approach in the dct domain

Reference 28

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4a746ab0-b562-42c9-8812-843d6ff044bb · outbound

This paper cites Identity documents image quality assessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Identity documents image quality assessment

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f31ceb79-858d-4087-b29f-34a3c24e5edb · outbound

This paper cites Methodology for the subjective assessment of the quality of television pictures.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Methodology for the subjective assessment of the quality of television pictures

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e72d7258-b676-4293-bfb1-4b1422d0d279 · outbound

This paper cites A method of image quality assessment for text recogni- tion on camera-captured and projectively distorted docu- ments.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment A method of image quality assessment for text recogni- tion on camera-captured and projectively distorted docu- ments

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0f152694-b5e8-43ac-bf4e-c9d653526c39 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment LLaMA: Open and Efficient Foundation Language Models

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 55f27c2a-34df-45a2-8a2b-5bf24fb31e9e · outbound

This paper cites Exploring clip for assessing the look and feel of images.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Exploring clip for assessing the look and feel of images

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be071431-412c-4019-ab67-10e6c28cc286 · outbound

This paper cites Image quality assessment: from error visi- bility to structural similarity.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Image quality assessment: from error visi- bility to structural similarity

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:53.856572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.224138Z digest=sha256:d1a968afdc32faabb6e2eb10526ccbc5aadf103d660fc7e51ddaaa3f6c222ca4

Observation 23c81c9f-4a56-4bdd-9cf2-af407ca88589 · outbound

This paper cites Q-Bench: A bench- mark for general-purpose foundation models on low- level vision.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Q-Bench: A bench- mark for general-purpose foundation models on low- level vision

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:53.592529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.293691Z digest=sha256:3904a4183debc043ddd31183c66d270e806be4c467c55d0a88433e0fae311a67

Observation 4383a8b3-1717-49cc-93fc-c6d1b9305f5d · outbound

This paper cites Q-Instruct: Improv- ing low-level visual abilities for multi-modality founda- tion models.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Q-Instruct: Improv- ing low-level visual abilities for multi-modality founda- tion models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:53.430716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.383495Z digest=sha256:4d17d67175ee3411037a836bca0822d54835763f506f9f5170821fef66a4896a

Observation 4e07171e-ebac-402d-b45d-3e352117fd9f · outbound

This paper cites Q-Align: Teaching LMMs for visual scoring via discrete text-defined levels.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Q-Align: Teaching LMMs for visual scoring via discrete text-defined levels

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:53.258240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.511548Z digest=sha256:22a17ec7ce4a2efd9781a04da32295e17166f90956fa9329a74aafeaafe7e6d3

Observation 3c4b3f5b-f085-4242-b655-4d5dee990902 · outbound

This paper cites Towards open-ended vi- sual quality comparison.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Towards open-ended vi- sual quality comparison

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:53.103160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.603923Z digest=sha256:6d63ca3e958fde82c3713f1943b186e3e723d519db39d44bd163a427c965f657

Observation 4aa0af39-ce01-4cd0-99a7-bf1c2f9c6364 · outbound

This paper cites A comprehensive study of multimodal large lan- guage models for image quality assessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment A comprehensive study of multimodal large lan- guage models for image quality assessment

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:52.923766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.676097Z digest=sha256:f37f5721b452f36ed6f268f5f088a023fdf44998e31c1ea9942d8ee47a39b4a3

Observation 8d6bf2fa-86f9-479f-84c2-9b3b1eae9e61 · outbound

This paper cites No-reference document image quality as- sessment based on high order image statistics.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment No-reference document image quality as- sessment based on high order image statistics

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:52.749319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.768587Z digest=sha256:a16a165064e84d0238a3ce7a20c9b95c2cda427e2d42a5c6861c09cd9e9206ff

Observation 0db20d19-61fc-4835-a20d-d5972d1a0cef · outbound

This paper cites MANIQA: Multi-dimension attention network for no- reference image quality assessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment MANIQA: Multi-dimension attention network for no- reference image quality assessment

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:52.596035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.845527Z digest=sha256:b2c5d2723a2b0e5c90a2a7b2559aac3c08b4bb9cf8217a8ad6f2d23c2e1d0f45

Observation 5bbe40e7-cc23-4db1-ab73-15701f2ab451 · outbound

This paper cites Document image quality assessment: A brief survey.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Document image quality assessment: A brief survey

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:52.408158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.902103Z digest=sha256:74d9988873aef5cfe95506725dc5fb28adef996b5fe40ffb85e411353bd6dd94

Observation 441450f0-c80c-4255-b68e-9f19d913d517 · outbound

This paper cites mPLUG-Owl2: Revolutionizing multi-modal large lan- guage model with modality collaboration.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment mPLUG-Owl2: Revolutionizing multi-modal large lan- guage model with modality collaboration

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:52.269874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:49.994820Z digest=sha256:54c571b7801065029c86e62e5303ac9d82a5fb8a0f331aa285b5ae306a9d346e

Observation 2febaa4e-ac03-43fd-8c10-bbd2a7929fec · outbound

This paper cites Descriptive image quality assessment in the wild.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Descriptive image quality assessment in the wild

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T16:44:50.086855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:44:50.086855Z digest=sha256:e31f856db94e47aa24771665fafb861fb90a2f1da7cedcc4fc7646e72118c5cd

Observation 51235f0a-df7a-408e-84ef-d568a4ce28ec · outbound

This paper cites Depicting beyond scores: Ad- vancing image quality assessment through multi-modal language models.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Depicting beyond scores: Ad- vancing image quality assessment through multi-modal language models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:52.111570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:50.162126Z digest=sha256:ad93a2bcc976ee42638b918a847da44a2c61359f79815934aeeca89e2a9d218b

Observation 22570a67-2e87-4ab9-a84c-c510fb027237 · outbound

This paper cites Teaching large language models to regress ac- curate image quality scores using score distribution.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Teaching large language models to regress ac- curate image quality scores using score distribution

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:51.862041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:50.230669Z digest=sha256:baf40446c5b8aca3a30f80d6e9b85cd384e332b16fc5f8620bbe41dd679e09b3

Observation 4f689c2c-c4f2-4006-991b-1625472029f2 · outbound

This paper cites FSIM: A feature similarity index for image quality as- sessment.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment FSIM: A feature similarity index for image quality as- sessment

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:51.712193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:50.314757Z digest=sha256:0ef6017f2e79cb99c4531a38c30e999a651f8c4f33bb4ea5896e414264a3d258

Observation 42596e01-2532-4e60-bf83-2ad2b93ba8eb · outbound

This paper cites An efficient transformer–cnn network for document image binariza- tion.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment An efficient transformer–cnn network for document image binariza- tion

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:51.529474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:50.397226Z digest=sha256:65fd129f56844f0bb43f68cd4a588439b16e27a8a56d34e8c386d2cdc48fff1b

Observation da40d2a7-f7df-4a1d-93bb-35a171055663 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment The unreasonable effectiveness of deep features as a perceptual metric

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:51.385496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:50.491885Z digest=sha256:5a26e5343ad6b46c4a3c131a52225dcd54eab87b86e171d289f10d346e6f7f77

Observation 67bd40ff-1e43-433c-89b6-a0cdcd1006b4 · outbound

This paper cites Uncertainty-aware blind image quality assessment in the laboratory and wild.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Uncertainty-aware blind image quality assessment in the laboratory and wild

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:51.236531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:50.622772Z digest=sha256:c42213c866e785558b8cec425faf7155c10688213040b346a4c8b2945444461b

Observation 4eb71525-e1cd-4260-b7d0-f43b82e5b5ab · outbound

This paper cites Blind image quality assessment via vision-language correspondence: A multitask learn- ing perspective.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Blind image quality assessment via vision-language correspondence: A multitask learn- ing perspective

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:44:51.108215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:44:50.714284Z digest=sha256:d3fb10cae438b5da2c2bad240a63a79e9754153cb2cd1c5c01ddddaff28770d1

Observation 69120d05-4a98-4f85-a592-2fdf6a7635f3 · outbound

This paper cites Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare.

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T16:44:50.788543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:44:50.788543Z digest=sha256:304609b632d3561aa7c0af480d25c68a2c2d41c35d551608b716c50620e4e2bf

Pith citing papers

No inbound Pith citation observations are available.