Paper Citation Record · LEDGER

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2508.07818.

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

pith.paper-citation-record.v1
2508.07818 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:52:51.845394Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T19:00:03.367921Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:01:11.696911Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy5
unresolved50
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 462b558a-0d51-4447-98ea-1f699c97d862 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c04e67-c70d-469c-8acc-e2ab272f418a · outbound

This paper cites write newline.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:46.947958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f1c861-12fd-402e-8c5f-98a927157a57 · outbound

This paper cites GPT-4 Technical Report.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:47.079018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d421ff-5dc4-483e-8ef1-db26e71a95a0 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:52:59.736291Z

Source-reported events for the cited work

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Observation e3b54a99-3e05-43a5-8f2f-bafa01420fa0 · outbound

This paper cites Qwen2.5-VL Technical Report.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Qwen2.5-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:47.246152Z

Source-reported events for the cited work

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Observation 8cd61a90-f539-40e1-9589-1828f6e7e690 · outbound

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 37fdbaf2-1701-48d3-8bba-4df2e2c728a5 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:52:59.374040Z

Source-reported events for the cited work

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Observation eb61d106-f26f-4c75-bb70-9a412e1885f1 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:47.542522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e25f40-7643-4b62-bdaa-469e8f299441 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 9

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Observation 4678628b-1e2a-49f0-b26c-41ff6eaa0184 · outbound

This paper cites E.; et al.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models E.; et al

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:47.730921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a0ae25-9897-4e68-9812-19737ea559a8 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 11

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Observation acd06a62-6255-4a1b-8497-142954947011 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:52:58.780855Z

Source-reported events for the cited work

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Observation 7cff0a84-de06-45b2-8358-e6d6de63b4cc · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 13

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:48.167749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation 3cbbc217-0471-41e8-a583-873dfcbe45b9 · outbound

This paper cites GPT-4o System Card.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models GPT-4o System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:48.346391Z

Source-reported events for the cited work

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This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation 297c2a01-f14c-4c5e-8ee8-0d4b7ba4c26c · outbound

This paper cites C.; and Chandler, D.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models C.; and Chandler, D

Reference 18

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Observation 88f40b85-fc00-4279-8690-4e02817d97c1 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 19

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 20

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Observation 872627c4-ba46-492d-a631-fb3f69a13efc · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 21

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Observation eca33803-4a98-4299-a1ec-401d2b0fd754 · outbound

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 22

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 23

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This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 24

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 25

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Observation 33c7e257-8094-482a-9d45-5e80045d1fc1 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 26

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:52:57.287912Z

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Observation 1b8aaa20-ffaf-49a7-8030-31f4dc68b7cd · outbound

This paper cites K.; and Bovik, A.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models K.; and Bovik, A

Reference 28

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Observation a9e9e450-d8ab-47f7-8519-f7bf02945734 · outbound

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models completely blind

Reference 29

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Source-reported events for the cited work

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Observation 8a950ee5-a635-41eb-bd00-3ed627c4ef4d · outbound

This paper cites K.; and Bovik, A.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models K.; and Bovik, A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:52:56.658798Z

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Observation 50f4b176-344f-434f-a773-1796251017e5 · outbound

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 31

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 32

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 33

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Observation a4dffec4-9bb9-48b4-b84e-e1332bc38405 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 34

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Source-reported events for the cited work

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Observation 20ea0626-3bb4-46a9-a11d-30cf59c74eaf · outbound

This paper cites R.; Sabir, M.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models R.; Sabir, M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:52:55.983725Z

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Observation 64c87a75-eb4e-4b48-8aa6-f1025534d0fc · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 36

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This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 37

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 38

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This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 39

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Observation 722dc228-1621-49a5-9393-121c43841504 · outbound

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models C.; and Loy, C

Reference 40

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 41

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Observation 5ee7ce04-0a4a-4ac8-b218-e35363d040e0 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 42

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Reference 43

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Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 44

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Observation cbdc4e8c-ce9d-460d-8e42-1b3059070411 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 45

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Observation 8264e8b2-62bf-4528-8017-aba906336c00 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 46

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Observation a0412281-5681-4137-81ea-23502b35b260 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 47

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Observation 50fb22e5-9d03-4d26-8fef-dd9435012fda · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 48

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Observation 5f7c71c1-3426-444a-944f-db15ed3d50dc · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 49

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Observation 4fb2df35-75eb-4963-87a3-272f02d33e82 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 50

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This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 51

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Observation bde2ae76-6654-4580-b920-21ae47a8e137 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 52

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Observation 9f5e37f8-dd28-4c26-a320-595069b73d27 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:52:52.562033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a3395bc-a815-4394-bd52-4fd6cd9d3d35 · outbound

This paper cites an unresolved cited work.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:52:52.293813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6478e17-ceec-4c0f-804c-e82c90e3b1cf · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T21:52:51.845394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fea867de-d9f1-4aa6-b1b4-8126742cf965 · inbound

FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution cites this paper.

FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:01:11.699882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.