Paper Citation Record · LEDGER

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 6 inbound Pith citation observations for arXiv:2501.09927.

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

pith.paper-citation-record.v1
2501.09927 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:36:21.792561Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:48:44.077282Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:40.548668Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy30
unresolved13
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 502f9cec-b1a6-434e-9f3a-4d0b918cb344 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment In- structpix2pix: Learning to follow image editing instructions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.542055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 34204ceb-1a72-4e33-bd80-aecdbba03b85 · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.525600Z

Source-reported events for the cited work

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Observation ea9b4dbc-7fc2-4800-8daa-fd108c4c45e5 · outbound

This paper cites Diffusion models beat gans on image synthesis.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Diffusion models beat gans on image synthesis

Reference 3

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Observation 66817db1-f33e-4b3c-9be1-6dee1742a650 · outbound

This paper cites Gpt-3: Its nature, scope, limits, and consequences.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Gpt-3: Its nature, scope, limits, and consequences

Reference 4

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Source-reported events for the cited work

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Observation 4f52388c-5b2a-4d72-b060-d511495df727 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.488181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 649b2363-0593-4b23-b93c-3496dfe05590 · outbound

This paper cites Denoising dif- fusion probabilistic models.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Denoising dif- fusion probabilistic models

Reference 6

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Source-reported events for the cited work

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Observation 5f988682-1955-4131-bcbf-dc5d45a8f24c · outbound

This paper cites Diffusion Model-Based Image Editing: A Survey.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Diffusion Model-Based Image Editing: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T19:36:21.605637Z

Source-reported events for the cited work

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Observation 1c523f88-23c5-44a4-9ab0-ab2a632a07b0 · outbound

This paper cites Smartedit: Exploring complex instruction-based image editing with multimodal large lan- guage models.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Smartedit: Exploring complex instruction-based image editing with multimodal large lan- guage models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.461295Z

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Observation deea53be-d91d-4a58-980b-22c75c29f7c9 · outbound

This paper cites Methodology for the subjective as- sessment of the quality of television pictures itu-r recommen- dation.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Methodology for the subjective as- sessment of the quality of television pictures itu-r recommen- dation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.445483Z

Source-reported events for the cited work

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Observation 2a45546d-1e03-4850-b179-ccc13d82ac9a · outbound

This paper cites Convolu- tional neural networks for no-reference image quality assess- ment.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Convolu- tional neural networks for no-reference image quality assess- ment

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.427072Z

Source-reported events for the cited work

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Observation 5eff281a-a5dd-4cde-8340-462e6e916c0a · outbound

This paper cites The tum high definition video datasets.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment The tum high definition video datasets

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.408782Z

Source-reported events for the cited work

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Observation 619decb3-1569-4208-9c25-5f29d2c48b72 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Adam: A Method for Stochastic Optimization

Reference 14

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Source-reported events for the cited work

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Observation 5fb24ac3-f994-474c-ab9d-3884278b86ed · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.392184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 914a7771-8066-4d7e-9c79-0462a2fc1460 · outbound

This paper cites Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 16

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Source-reported events for the cited work

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Observation 64035f23-d5fe-4885-b78d-a8e86a20b28d · outbound

This paper cites Most apparent dis- tortion: full-reference image quality assessment and the role of strategy.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Most apparent dis- tortion: full-reference image quality assessment and the role of strategy

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.375709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09969bec-b1bc-4e95-bf4b-d022ae718b07 · outbound

This paper cites Agiqa-3k: An open database for ai-generated image quality assessment.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Agiqa-3k: An open database for ai-generated image quality assessment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.359346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4516808b-8054-4d1f-91b8-4b685a3b08b9 · outbound

This paper cites AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T19:36:21.658974Z

Source-reported events for the cited work

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Observation ac781497-b60b-409f-8209-bcd5f08615dd · outbound

This paper cites Norm-in-norm loss with faster convergence and better performance for im- age quality assessment.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Norm-in-norm loss with faster convergence and better performance for im- age quality assessment

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.342852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2a79ab37-51c8-47ac-8884-85b328cabdcc · outbound

This paper cites Microsoft coco: Common objects in context.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Microsoft coco: Common objects in context

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T19:36:21.668577Z

Source-reported events for the cited work

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Observation f151ae3f-cc5c-4bac-8fd7-dab40770ce0c · outbound

This paper cites Referring image editing: Object-level image editing via referring expressions.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Referring image editing: Object-level image editing via referring expressions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.314930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e32e6631-46bc-4e1c-809f-d9751c26bb30 · outbound

This paper cites Dinov2: Learning robust visual features without super- vision.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Dinov2: Learning robust visual features without super- vision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.298737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b8ff5a6-3b87-4d7f-b889-1d4b20837920 · outbound

This paper cites Bringing Textual Prompt to AI-Generated Image Quality Assessment.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Bringing Textual Prompt to AI-Generated Image Quality Assessment

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:36:21.894630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c5efc64-3486-4784-a8a6-7adbf9f8616c · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Learning transferable visual models from natural language supervi- sion

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.282731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 968e2f5b-5794-4271-843c-33aa147aa981 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 26

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Source-reported events for the cited work

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Observation 4140a877-dad5-4f4c-b16e-68d747d49a6e · outbound

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

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Methodology for the subjective assessment of the quality of television pictures

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.254218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 185e7f0f-d713-49ab-ad19-af887855770f · outbound

This paper cites Doubly abductive coun- terfactual inference for text-based image editing.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Doubly abductive coun- terfactual inference for text-based image editing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.232998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d70009f6-405a-409f-b656-c2c70831031d · outbound

This paper cites Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.216295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8d13b8be-9317-4c3b-9142-d73a83d1721b · outbound

This paper cites VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Reference 30

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Observation aeb39a3a-f678-488f-9f33-752f100bfbc1 · outbound

This paper cites Improved artgan for conditional synthesis of natural image and artwork.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Improved artgan for conditional synthesis of natural image and artwork

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.199251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da4870b4-742b-4c2d-b74a-6f94a7006f1a · outbound

This paper cites Full-reference image quality as- sessment by combining features in spatial and frequency do- mains.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Full-reference image quality as- sessment by combining features in spatial and frequency do- mains

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.182825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a3d20650-6897-48ac-a165-7aab62cc6785 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Plug-and-play diffusion features for text-driven image-to-image translation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.167316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7eb4a0cc-98e8-4931-9b58-c0b26ab8bf7d · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Ex- ploring clip for assessing the look and feel of images

Reference 34

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Source-reported events for the cited work

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Observation 482f1358-acc7-452a-bcaa-554d90976311 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Image quality assessment: from error visibility to structural similarity

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.140283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d5371387-204c-48f5-9b20-b71d5a430727 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 36

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Source-reported events for the cited work

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Observation eab88633-98f6-4330-9859-8c1225c2b654 · outbound

This paper cites Human preference score: Better aligning text- to-image models with human preference.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Human preference score: Better aligning text- to-image models with human preference

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.123688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3538caf0-39c0-4a0a-b215-f5e812b1c2e1 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation, 2023.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Imagere- ward: Learning and evaluating human preferences for text- to-image generation, 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.106402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bbcde75c-40f1-42ba-a3ec-daace9c75c35 · outbound

This paper cites Inversion-Free Image Editing with Natural Language.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Inversion-Free Image Editing with Natural Language

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T19:36:21.757097Z

Source-reported events for the cited work

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Observation 8b78195b-df6f-45d3-a220-f970ad20feae · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction- guided image editing.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Magicbrush: A manually annotated dataset for instruction- guided image editing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.089582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b311c75-7141-4899-b99d-02ba7d0f9fc9 · outbound

This paper cites A comprehensive evaluation of full reference image quality as- sessment algorithms.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment A comprehensive evaluation of full reference image quality as- sessment algorithms

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.072681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f3c4e0f1-852f-4a0b-a19b-4cf2b0200726 · outbound

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

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment The unreasonable effectiveness of deep features as a perceptual metric

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.054492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c89e77c8-f7cb-4add-abeb-03cb2620c113 · outbound

This paper cites Blind image quality assessment using a deep bilinear convolutional neural network.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Blind image quality assessment using a deep bilinear convolutional neural network

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.037653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0743fe08-9b87-4615-b588-1649bb01eb09 · outbound

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

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Blind image quality assessment via vision- language correspondence: A multitask learning perspective

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.020914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94f42c52-be8c-4cfd-8b3b-016e79814100 · outbound

This paper cites Sine: Single image editing with text- to-image diffusion models.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Sine: Single image editing with text- to-image diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:22.002868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e5eb6ef7-be34-4383-9f5f-9f3e7fff7d18 · outbound

This paper cites Scene parsing through ade20k dataset.

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Scene parsing through ade20k dataset

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:36:21.986592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 08b2c90e-c4ba-43fd-98e1-1110031dbea4 · inbound

ADIEE: Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation cites this paper.

ADIEE: Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:44.077282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b84952a-e902-471d-ae7b-088eb86ac2c0 · inbound

LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMs cites this paper.

LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMs IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T15:19:57.777876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8157b4ed-8e00-4056-a8c3-33f50e314ac8 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:20:09.134175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69c85a52-3c01-4786-a059-385d3abe06a5 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-15T12:51:20.969593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f906f36a-ffb6-4402-ac74-d35917afde2d · inbound

ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services cites this paper.

ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:36:14.802353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c7aca730-da12-4871-9790-d4eb0c64734f · inbound

ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services cites this paper.

ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:25:40.551336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.