Paper Citation Record · LEDGER

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration

As of 9 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2603.27742.

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

pith.paper-citation-record.v1
2603.27742 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T16:50:50.552104Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T17:22:36.435074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:24:57.019249Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy0
unresolved58
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db209eee-1b03-4ed5-8ffb-e78dac46cd71 · outbound

This paper cites an unresolved cited work.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

Source-reported events for the cited work

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Observation d8db4c9e-66b8-48dc-8516-56ffb903c2cc · outbound

This paper cites Qwen3-VL Technical Report.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Qwen3-VL Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation 54439a50-1683-448d-b6a5-fa7cf9b838e8 · outbound

This paper cites In: CoRL.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CoRL

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation f03c3682-d85d-48c9-8b63-39b693639694 · outbound

This paper cites Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation 2b64becb-1446-4d02-b3a9-1c144242b0f0 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 5

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Observation c476835f-4fdf-498f-9833-4d0ad3471858 · outbound

This paper cites Advances in Neural Information Processing Systems37, 110643–110666 (2024).

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Advances in Neural Information Processing Systems37, 110643–110666 (2024)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation e7aecab5-e9be-42ef-b16f-191c9bc9f73b · outbound

This paper cites In: ECCV.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: ECCV

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation 8406ed59-0a7c-41dc-be5b-0f7fa1f51482 · outbound

This paper cites arXiv preprint arXiv:2512.09282 (2025).

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration arXiv preprint arXiv:2512.09282 (2025)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation ee1353cd-afd7-4f23-aefe-f53d022630dd · outbound

This paper cites In: ECCV.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: ECCV

Reference 9

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Observation fe999052-7027-4da9-9831-816e909a9aca · outbound

This paper cites In: European Conference on Computer Vision.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: European Conference on Computer Vision

Reference 10

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Observation e95458a1-729d-4dac-9070-3c98877632e8 · outbound

This paper cites In: CVPR.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CVPR

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation d7852aff-0892-4355-9a30-ae7be8ece031 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence38(2), 295–307 (2015).

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration IEEE transactions on pattern analysis and machine intelligence38(2), 295–307 (2015)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation c674c5f8-ac25-411a-8ebf-50cb934fe6f5 · outbound

This paper cites Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation f7480fde-5e8a-4ac0-a435-f9ab65c248e3 · outbound

This paper cites From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation 47517715-3ee9-4f4b-8032-9ce5e6f3858f · outbound

This paper cites an unresolved cited work.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Unresolved cited work

Reference 15

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Observation 684b69b6-8033-49a9-b3b1-ea94a92b0a8e · outbound

This paper cites In: NeurIPS.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: NeurIPS

Reference 16

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Observation 3daa8c85-1d6e-4b6b-943d-89f9baf612c1 · outbound

This paper cites arXiv preprint arXiv:2511.15351 (2025).

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration arXiv preprint arXiv:2511.15351 (2025)

Reference 17

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Observation fb931213-5742-434d-8523-1e4ea5f2d53e · outbound

This paper cites In: CVPR.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CVPR

Reference 18

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Observation 2022aab6-ceea-4bde-abf2-31e7f8187a94 · outbound

This paper cites DeepEyesV2: Toward Agentic Multimodal Model.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration DeepEyesV2: Toward Agentic Multimodal Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation c121f868-20cd-45f9-8ceb-4a711af37e74 · outbound

This paper cites https://helpx.adobe.com/photoshop/using/neural-filters.html (2024).

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration https://helpx.adobe.com/photoshop/using/neural-filters.html (2024)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

Source-reported events for the cited work

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Observation 1de21279-fc10-4d37-9d55-fbf079186652 · outbound

This paper cites Multi-Agent Image Restoration.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Multi-Agent Image Restoration

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T16:50:50.552104Z

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Observation f980b4c9-72c7-479a-a59e-6bdb81baf05a · outbound

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: ECCV

Reference 22

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Observation 5a4ea046-983f-4e2e-8e29-02aac5ff63c0 · outbound

This paper cites Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy

Reference 23

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Observation 94cfd7fb-8a92-4d6f-bf23-453076d39a0c · outbound

This paper cites an unresolved cited work.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Unresolved cited work

Reference 24

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Observation 326b20ee-fb92-4426-b940-3c0f53e85e3a · outbound

This paper cites Hybrid Agents for Image Restoration.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Hybrid Agents for Image Restoration

Reference 25

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Observation f74100fe-7c9b-44bc-9159-0cbc3edcc696 · outbound

This paper cites In: CVPR.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CVPR

Reference 26

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This paper cites In: ICCV.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: ICCV

Reference 27

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CVPR-Workshop

Reference 28

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Source-reported events for the cited work

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This paper cites GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

Reference 29

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This paper cites Restore-R1: Efficient Image Restoration Agents via Reinforcement Learning with Multimodal LLM Perceptual Feedback.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Restore-R1: Efficient Image Restoration Agents via Reinforcement Learning with Multimodal LLM Perceptual Feedback

Reference 30

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This paper cites Controlling Vision-Language Models for Multi-Task Image Restoration.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Controlling Vision-Language Models for Multi-Task Image Restoration

Reference 31

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Observation 7e094f7a-e37a-4238-a342-9960626cc28a · outbound

This paper cites ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration.

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

Reference 32

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Observation a1416cdf-4f27-4f20-b3dd-08512f07836f · outbound

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Unresolved cited work

Reference 33

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CVPR

Reference 34

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Advances in neural information processing systems36, 71275–71293 (2023)

Reference 35

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision

Reference 36

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Unresolved cited work

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Advances in Neural Information Processing Systems36, 38154–38180 (2023)

Reference 38

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: NeurIPS (2025)

Reference 39

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: ICCV

Reference 40

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration arXiv preprint arXiv:2512.17532 (2025)

Reference 41

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Kimi K2.5: Visual Agentic Intelligence

Reference 42

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration AdaTooler-V: Adaptive Tool-Use for Images and Videos

Reference 43

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Unresolved cited work

Reference 44

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: ECCV-Workshop

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CVPR

Reference 46

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 47

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: NeurIPS

Reference 48

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration IEEE transactions on image processing33, 5408–5423 (2024)

Reference 49

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration IEEE Transactions on Image Processing (2025)

Reference 50

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: ECCV

Reference 51

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: CVPR

Reference 52

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning

Reference 53

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration IEEE transactions on image processing26(7), 3142–3155 (2017)

Reference 54

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 55

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model

Reference 56

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration An Intelligent Agentic System for Complex Image Restoration Problems

Reference 57

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TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration In: NeurIPS (2025) 14

Reference 58

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Pith citing papers

Observation 231f5a93-3cc3-4d20-b9c8-5723ea74f4be · inbound

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning cites this paper.

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:20:02.587997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b27b0459-56b0-4d5e-a941-0ff5d0dc93a8 · inbound

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning cites this paper.

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:20:02.587997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efffeebe-9fbc-43d0-aa7e-463e2ac0d23f · inbound

DiTTo: Scalable Order-aware All-in-One Image Restoration Agent cites this paper.

DiTTo: Scalable Order-aware All-in-One Image Restoration Agent TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:20:02.587997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.