HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing | Paper Citation Record

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This paper cites The kendall rank correlation coefficient.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing The kendall rank correlation coefficient

Reference 1

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Observation d50df85c-fe2d-492c-ada3-3d87d02268ab · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Flamingo: a visual language model for few-shot learning

Reference 2

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This paper cites Claude 3.5 haiku, 2024.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Claude 3.5 haiku, 2024

Reference 3

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This paper cites A Survey of Multimodal Large Language Model from A Data-centric Perspective.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing A Survey of Multimodal Large Language Model from A Data-centric Perspective

Reference 4

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

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 5

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This paper cites GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 6

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This paper cites Davidsonian scene graph: Improving reliabil- ity in fine-grained evaluation for text-to-image generation.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Davidsonian scene graph: Improving reliabil- ity in fine-grained evaluation for text-to-image generation

Reference 7

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Observation 9ac9728a-006f-4d06-9afe-fbb3bdaf0371 · outbound

This paper cites Davidsonian Scene Graph: Improv- ing Reliability in Fine-Grained Evaluation for Text-to-Image Generation.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Davidsonian Scene Graph: Improv- ing Reliability in Fine-Grained Evaluation for Text-to-Image Generation

Reference 8

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Observation c0eaad0b-6593-43ac-a60b-629f40cc7abd · outbound

This paper cites Diffusion models in vision: A survey.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Diffusion models in vision: A survey

Reference 9

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This paper cites InstructBLIP: Towards general-purpose vision- language models with instruction tuning.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing InstructBLIP: Towards general-purpose vision- language models with instruction tuning

Reference 10

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This paper cites Flashattention: Fast and memory-efficient exact at- tention with io-awareness.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Flashattention: Fast and memory-efficient exact at- tention with io-awareness

Reference 11

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Observation df87ca10-0eb1-4246-92a9-28a571d14d39 · outbound

This paper cites The Llama 3 Herd of Models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing The Llama 3 Herd of Models

Reference 12

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This paper cites Diffusion self-guidance for control- lable image generation.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Diffusion self-guidance for control- lable image generation

Reference 13

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Observation b5ffc2a2-7e73-4756-b1c7-96a3c99714f7 · outbound

This paper cites Exploring the potential of dense information in multimodal alignment.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Exploring the potential of dense information in multimodal alignment

Reference 14

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This paper cites Dat- acomp: In search of the next generation of multimodal datasets.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Dat- acomp: In search of the next generation of multimodal datasets

Reference 15

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Observation 95c2ae76-a136-4e6d-989c-d4ca6af1c6ef · outbound

This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 16

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This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Geneval: An object-focused framework for evaluating text- to-image alignment

Reference 17

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Observation ef543bcf-7b0f-471e-93fa-8ccdd2d2886a · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Clipscore: A reference-free evaluation met- ric for image captioning

Reference 18

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This paper cites Cas: A probability-based approach for universal condition align- ment score.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Cas: A probability-based approach for universal condition align- ment score

Reference 19

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This paper cites Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering

Reference 20

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This paper cites Exposing text-image inconsistency using dif- fusion models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Exposing text-image inconsistency using dif- fusion models

Reference 21

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This paper cites Exposing Text-Image Inconsistency Using Diffusion Models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Exposing Text-Image Inconsistency Using Diffusion Models

Reference 22

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This paper cites Llm4sgg: Large language models for weakly supervised scene graph generation.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Llm4sgg: Large language models for weakly supervised scene graph generation

Reference 23

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This paper cites Quality estimation for image captions based on large-scale human evaluations.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Quality estimation for image captions based on large-scale human evaluations

Reference 24

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This paper cites Blip-2: Bootstrapping language-image pre-training with 9 frozen image encoders and large language models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Blip-2: Bootstrapping language-image pre-training with 9 frozen image encoders and large language models

Reference 25

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This paper cites Rouge: A package for automatic evaluation of summaries.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Rouge: A package for automatic evaluation of summaries

Reference 26

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This paper cites Evaluating text-to-visual generation with image-to-text gen- eration.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Evaluating text-to-visual generation with image-to-text gen- eration

Reference 27

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HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Visual instruction tuning

Reference 28

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HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 29

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HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Newsclip- pings: Automatic generation of out-of-context multimodal media

Reference 30

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HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Llama 3.2, 2024

Reference 31

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This paper cites Hello gpt-4o, 2024.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Hello gpt-4o, 2024

Reference 32

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This paper cites The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective

Reference 33

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

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Learning transferable visual models from natural language supervi- sion

Reference 34

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

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 35

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This paper cites Efficient attention: Attention with lin- ear complexities.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Efficient attention: Attention with lin- ear complexities

Reference 36

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This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 38

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Observation a4c5005a-e8ab-421d-a7a8-863421fdfdee · outbound

This paper cites Smoothquant: Accurate and ef- ficient post-training quantization for large language models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Smoothquant: Accurate and ef- ficient post-training quantization for large language models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.989704Z

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Observation 5594500d-24b7-4a80-ae36-3a56c604570f · outbound

This paper cites What you see is what you read? improving text- image alignment evaluation.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing What you see is what you read? improving text- image alignment evaluation

Reference 40

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Observation aff9f379-ec6f-4199-b316-78711b7b2035 · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 41

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Observation 1b935a42-ce14-463a-9d03-ba246072d6af · outbound

This paper cites mplug- owi2: Revolutionizing multi-modal large language model with modality collaboration.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing mplug- owi2: Revolutionizing multi-modal large language model with modality collaboration

Reference 42

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Observation 30a5d9e5-974c-44ba-9e2f-4f45842b91b5 · outbound

This paper cites Delving into noisy label detection with clean data.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Delving into noisy label detection with clean data

Reference 43

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Observation 3e4ab6be-ca4a-4827-bae2-295ffe5e22d5 · outbound

This paper cites When and why vision- language models behave like bags-of-words, and what to do about it? In International Conference on Learning Repre- sentations, 2023.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing When and why vision- language models behave like bags-of-words, and what to do about it? In International Conference on Learning Repre- sentations, 2023

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.934625Z

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Observation 99df84d5-1840-4319-a21a-31938f06d81d · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Adding conditional control to text-to-image diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.920470Z

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Observation 7394e6a4-6bbd-4076-b7a9-f511664e8412 · outbound

This paper cites Data Cleaning Using Large Language Models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Data Cleaning Using Large Language Models

Reference 46

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This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Minigpt-4: Enhancing vision-language understanding with advanced large language models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.907289Z

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Observation 9fc92d0c-7e86-4aa7-8e80-362ca66fdce4 · outbound

This paper cites mirror” → “window.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing mirror” → “window

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.894160Z

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Observation 36c9769c-8ed7-4afe-a05b-56497c487270 · outbound

This paper cites - Location: Scenes or places - Concept: Abstract Concept - Event: Actions or events that occur - Attribute: Characteristics describing entities, locations, or events - Others.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing - Location: Scenes or places - Concept: Abstract Concept - Event: Actions or events that occur - Attribute: Characteristics describing entities, locations, or events - Others

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.881623Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 534dd749-5675-4484-92cd-3639a7e01ca2 · outbound

This paper cites - Has Attribute: Features of entities, locations, or events - Part Of: Representing compositional relationships - Quantity: Representing amounts or counts - Others.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing - Has Attribute: Features of entities, locations, or events - Part Of: Representing compositional relationships - Quantity: Representing amounts or counts - Others

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.868968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 971cd8c3-fb42-49f7-b4ae-c26c1a8f7124 · outbound

This paper cites nodes”: [ {“id.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing nodes”: [ {“id

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.854523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d3ba12a-faee-4ce4-9f92-17cb084eedcf · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.841007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a54658a7-2e53-4c99-817c-75f5e6d1caa6 · outbound

This paper cites True is correct, False is incorrect.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing True is correct, False is incorrect

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.826961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de6dbd42-d5da-4f1a-9fcb-abf098de1a6d · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.813946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86c6b649-eac5-40f3-8baf-026989a49ba9 · outbound

This paper cites Each question should:.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Each question should:

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.801236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f9e697e-f979-4474-b1ef-ebd0ab40c6a3 · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.788144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation acaf1783-db5b-44d2-b582-80099d432fdf · outbound

This paper cites Use the semantic graph for reference.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Use the semantic graph for reference

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.775272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01d84110-111c-4edf-ba0b-1fbf0734da00 · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.762294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da990433-4a63-4b76-95e5-8dfbc9289a12 · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.749027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e9d6ad7-3bd6-40c8-ba44-69800a57cb76 · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.735888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84df9ed8-5f5d-435f-a086-4df983d6ca61 · outbound

This paper cites Is the pottery large?.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Is the pottery large?

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.722653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c597ea4-adfa-4c19-9275-489d8650b0b7 · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.709661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c86a90b7-b541-4f84-972b-4574fbaf73ec · outbound

This paper cites - Question: The actual question text.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing - Question: The actual question text

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.695692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8efe0d8e-e2e1-4612-b4e5-cf3290008e6f · outbound

This paper cites - Question: The actual question text.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing - Question: The actual question text

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.680173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 264ff1a5-72a0-4c6d-bec2-a65b035f80fd · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.666157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3599d589-4fde-4be6-90e4-e2ade57ef701 · outbound

This paper cites Consistent.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Consistent

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.651711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37d6ac8a-c5ed-4fd3-8544-cff00a98e140 · outbound

This paper cites an unresolved cited work.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:32:56.636765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e14d169-2239-45df-99d5-6d97bfae55ca · outbound

This paper cites Input: HIEG: [{hieg}] Original Caption: [{caption}] Final Consistency Decision:[{consistency-decision}] 11 Figure 9.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Input: HIEG: [{hieg}] Original Caption: [{caption}] Final Consistency Decision:[{consistency-decision}] 11 Figure 9

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:32:56.622649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers