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Paper Citation Record · LEDGER

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.08489.

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

pith.paper-citation-record.v1
2509.08489 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:10:03.330319Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99864e71-c6ed-44f7-a624-0e071973ebbd · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 1

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Unavailable: canonical work link unavailable.

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Observation c283907f-0296-44da-ad4e-e36d570143ac · outbound

This paper cites Segment Anything.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Segment Anything

Reference 2

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source=pdf_text observed=2026-08-15T16:10:03.142060Z digest=sha256:3105a31a7e27357a934102e36771723cccaf6f2c8fe0065634efc2e9761d6c38

Observation bf1cc640-0144-4552-8e10-6563f06cc157 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation High-resolution image synthesis with latent diffusion models

Reference 3

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source=pdf_text observed=2026-08-15T16:10:03.146167Z digest=sha256:ce091ae7201a65d5b2f9544745f40271c1b31a0259ab9f9978867e21c685ff7c

Observation 4f53e3cd-6ea3-4de4-b000-4fcfac365079 · outbound

This paper cites Visual Instruction Tuning.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Visual Instruction Tuning

Reference 4

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source=pdf_text observed=2026-08-15T16:10:03.150969Z digest=sha256:54a55b4778c37acf7b427d7cfeda3d9fc253698cc884e0ad254ee9b72cfd05b7

Observation 9bfb1a87-3b0d-4080-81c1-1a95a6291582 · outbound

This paper cites Hidden technical debt in machine learning systems.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Hidden technical debt in machine learning systems

Reference 5

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raw_fallback, observed 2026-08-15T16:10:04.047999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.154606Z digest=sha256:88daa2cd8b2c23e640a136db6f371e8cb5c9e576b177a306d3a6caaa529bf907

Observation 6b9ce203-d56b-4fa3-9468-b97343147a24 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 6

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source=pdf_text observed=2026-08-15T16:10:03.159053Z digest=sha256:3af140cf97948f18eb4821238492b70009f827dbde4de1ac0401e376a01f0de3

Observation b9ee630f-c160-49c1-b052-ad3017c938fd · outbound

This paper cites Learning transferable visual models from natural language supervision.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Learning transferable visual models from natural language supervision

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T16:10:04.036484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.163960Z digest=sha256:728a6974bc46a94020b2f78a625dfde0605adbcaab2063c52c67290d38dc6ea2

Observation 918cda8d-2c36-4369-8c68-8ae51e7ca394 · outbound

This paper cites an unresolved cited work.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.167830Z digest=sha256:fc53e676b21a7f9c88a992ac33d57b802ae9217384942f5efa4a4e4d5479b8db

Observation 97cdc948-6fa1-4397-bf2a-6a86f9e19398 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:10:03.172108Z digest=sha256:3bdc92ff345a185dba3bdef649c63fe68bbb1e41e474e4ecdba2ec8a143605f9

Observation 8faab3d4-f2d4-4169-aa0d-9c22aab2b6b6 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Masked-attention mask transformer for universal image segmentation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.175521Z digest=sha256:cce2e8001e230135ab54458303e38ef4c54f21d2e1ac7be4fcfff26b8852082e

Observation 177dd66a-647f-4b55-905a-407fe8ab7227 · outbound

This paper cites X-decoder: Generalized decoding for pixel, image, and language.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation X-decoder: Generalized decoding for pixel, image, and language

Reference 11

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raw_fallback, observed 2026-08-15T16:10:03.999795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.180093Z digest=sha256:0ab8937d33b777f91cecdc4797dbd4b38056ce438a0a22cc94b69aaa5d38e2ce

Observation 1e318b8c-6259-4c17-831a-0d1f8f0bce96 · outbound

This paper cites Cris: Clip-driven referring image segmentation.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Cris: Clip-driven referring image segmentation

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.984879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.185059Z digest=sha256:fed8a17e6d5cbf63046adb590c027a881280b6e72c0f003a859b6ca9ded36dec

Observation 09592f85-a74a-46e8-b7e5-37e743b98075 · outbound

This paper cites Language-aware vision transformer for referring image segmentation.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Language-aware vision transformer for referring image segmentation

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.972242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.189842Z digest=sha256:e688719d3d64934b482ed23998ed47d68aac9d0d8757bb87486e4251b6dd57aa

Observation f677c759-bc0b-43b2-83ac-f9c1038554fd · outbound

This paper cites Restr: Convolution-free referring image segmentation with transformers.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Restr: Convolution-free referring image segmentation with transformers

Reference 14

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raw_fallback, observed 2026-08-15T16:10:03.957241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.194124Z digest=sha256:8480b9e8064ee9f81edc802ea06ab811bd24aadd07ccb79413ae0d5583512c03

Observation e378cc42-12b6-4bfa-a86d-d24af82a1435 · outbound

This paper cites CLIP-Adapter: Better Vision-Language Models with Feature Adapters.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation CLIP-Adapter: Better Vision-Language Models with Feature Adapters

Reference 15

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source=pdf_text observed=2026-08-15T16:10:03.198326Z digest=sha256:67b3e4dcaa49c2fdffe7ac9a89819d30b3bc8ca6cd72a95a2789cdbeb6d48eff

Observation 835b3a85-6a95-4d73-82ad-44761a6f7d44 · outbound

This paper cites Tip-adapter: Training- free clip-adapter for better vision-language modeling.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Tip-adapter: Training- free clip-adapter for better vision-language modeling

Reference 16

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raw_fallback, observed 2026-08-15T16:10:03.942786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.203244Z digest=sha256:06cda8ede17c3102b759eb2c6659f286e2e35b4a4dca3186c136269d04f15a44

Observation e42ddafb-121d-4e8d-86f6-dabe1b8c7beb · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Repaint: Inpainting using denoising diffusion probabilistic models

Reference 17

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raw_fallback, observed 2026-08-15T16:10:03.927859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.207381Z digest=sha256:43a8faf9aad941874bbc4f459417510e3625fc45e6d719602f2100f9fea1b9e0

Observation 9baa733f-15eb-4442-b82e-13c902f3b47e · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 18

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source=pdf_text observed=2026-08-15T16:10:03.211971Z digest=sha256:ee516631866d491218f259ab6dc61a5bee995254540c0c37831c7e6cfbac3113

Observation 4343308b-5f6b-433f-bbbf-388315187ffe · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 19

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source=pdf_text observed=2026-08-15T16:10:03.216059Z digest=sha256:cf04b2ee3913b1a612ffe7d60910ee4d521138575fb5bab29ad31ab804864051

Observation 6622998c-5dd1-43ac-9354-4bc3d63ed086 · outbound

This paper cites an unresolved cited work.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-15T16:10:03.221040Z digest=sha256:c5eb6c40e132b47c97c5ceda4051707215dc3d6ec20b73021e5747ba309595f3

Observation a426cfe4-3ffd-4a6a-9756-60e7c226d3dd · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Adding Conditional Control to Text-to-Image Diffusion Models

Reference 21

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source=pdf_text observed=2026-08-15T16:10:03.225288Z digest=sha256:2a8c9a9f565ab0cea315f2667e42771d2b45845bf9641b513137107b79faf4d0

Observation 7fd1a34c-067b-4144-9c12-a07b8335dddb · outbound

This paper cites Paint by Example: Exemplar-based Image Editing with Diffusion Models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Paint by Example: Exemplar-based Image Editing with Diffusion Models

Reference 22

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source=pdf_text observed=2026-08-15T16:10:03.230216Z digest=sha256:c0e0ec94f6bdba16a11a1598f749384d9cf4bac2a369b1045ecba0f39eedbd86

Observation 73366b5b-fb63-4169-aa8b-c63fc5aa291e · outbound

This paper cites Blended Latent Diffusion.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Blended Latent Diffusion

Reference 23

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source=pdf_text observed=2026-08-15T16:10:03.233728Z digest=sha256:04378e7f492cb2315cc3e8d035c985cd7a7c52195f5d21ba03aa02fc0087645b

Observation 04307d61-3400-44b6-975b-32d8921ee3ff · outbound

This paper cites Palette: Image-to-image diffusion models.ACM Transactions on Graphics, 2022.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Palette: Image-to-image diffusion models.ACM Transactions on Graphics, 2022

Reference 24

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raw_fallback, observed 2026-08-15T16:10:03.905011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.238407Z digest=sha256:af7b67c84f05db3f169457b102eed6b486b023a316fc62380883150677d7cebc

Observation 92a630ab-81d1-47e4-ae4b-00bd3574ef65 · outbound

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

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 25

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source=pdf_text observed=2026-08-15T16:10:03.244505Z digest=sha256:b7c4996c4323823753837d817eb317bc6f9396163b2092abedcaba099279d32d

Observation c9625d18-fab9-4d7b-9397-fe7322f8766a · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 26

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no resolver link, observed 2026-08-15T16:10:03.251426Z

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source=pdf_text observed=2026-08-15T16:10:03.251426Z digest=sha256:f6b567e904cf41e046217cb94e3ae0f00e9f0a3c16ffcbab920960d07547eaa4

Observation 2893d110-5c75-4e1d-ac5d-a7ae9f0b40e8 · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Null-text inversion for editing real images using guided diffusion models

Reference 27

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raw_fallback, observed 2026-08-15T16:10:03.867993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.257540Z digest=sha256:0ebd3ee2f34bf1c5424a44533c88c36a972b289fda1cfcb150d291183b225133

Observation 8232bbc2-2d12-4fb5-bf1f-1629e407cea4 · outbound

This paper cites Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Reference 28

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source=pdf_text observed=2026-08-15T16:10:03.262156Z digest=sha256:051cf054b95056794aacbd3618e4c0d714c6e7774651aef6851532b79d759d5d

Observation eb06a419-8b52-45bb-95e2-2dad71b0f2a2 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Classifier-Free Diffusion Guidance

Reference 29

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no resolver link, observed 2026-08-15T16:10:03.267347Z

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source=pdf_text observed=2026-08-15T16:10:03.267347Z digest=sha256:a31751b0ef2d3a42ef730ec14c3a68ccb95e49d64512c96beea8e48165e903af

Observation cc44ee16-3d84-4c7e-a879-139fbb72a662 · outbound

This paper cites Redefining Populations of Inference for Generalizations from Small Studies.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Redefining Populations of Inference for Generalizations from Small Studies

Reference 30

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metadata mismatch
local_arxiv, observed 2026-08-15T16:10:03.396807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.274143Z digest=sha256:470157dafef26f523006b6c21bc7b2f0c8537e1f5e3ad7d51a93ccd65dac880d

Observation 8e712756-ae3f-4176-87cd-fa9295d5b110 · outbound

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

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Clipscore: A reference-free evaluation metric for image captioning

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.849897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.279035Z digest=sha256:dcf2cbbe49047290ba3d1c8936e7fd44cd0158607e37ab8b28a53000c5628394

Observation 1748739a-8e33-4c4e-8a80-6aae34ced163 · outbound

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

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation The unreasonable effectiveness of deep features as a perceptual metric

Reference 32

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raw_fallback, observed 2026-08-15T16:10:03.834715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.283353Z digest=sha256:6fff44b3889bf57261c49ef00bf7cc7599b573ec25ec12e3d3a230876f261357

Observation e702653d-10e7-495a-92aa-e6bb06c408c2 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Processing, 13(4):600–612, 2004.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Processing, 13(4):600–612, 2004

Reference 33

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source=pdf_text observed=2026-08-15T16:10:03.287901Z digest=sha256:2a3395c64c5d8347f4469da99ccedb216f890d6acf10f4eff3f66672fcb647ab

Observation 2f6a44ba-c6bf-4946-be81-ac2a9018b6d7 · outbound

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

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 34

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raw_fallback, observed 2026-08-15T16:10:03.803197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.291824Z digest=sha256:897b48af236eebabb679aba8b630ed6044304ac29be09001d81648c8111b7dde

Observation b4ade179-a5e8-4177-a137-6668b86c8413 · outbound

This paper cites Sutherland, Michael Arbel, and Arthur Gretton.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Sutherland, Michael Arbel, and Arthur Gretton

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.787600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.296040Z digest=sha256:e45d4ba1a263bf5bdbc7d9860dd0b78360160fef51f9e56e04a3fbe563eba8a1

Observation b34e78ec-a59f-43fb-acd1-da85eb301154 · outbound

This paper cites Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program).

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T16:10:03.300493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:10:03.300493Z digest=sha256:43d8be946532de4d3cb91c027ec79d1851deb4fec6f5b1656d7373dca92dbd7e

Observation 79395a14-b85e-4d6f-aa42-1f431a155d14 · outbound

This paper cites Model cards for model reporting.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Model cards for model reporting

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.774317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.306674Z digest=sha256:cbb1f4995502aac38313736254559e938ba863e9a5408ed1114465a007e74fb2

Observation 3b7bf3b5-4e90-46b3-8e02-80af5c8750f8 · outbound

This paper cites Datasheets for Datasets.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Datasheets for Datasets

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T16:10:03.310132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:10:03.310132Z digest=sha256:08c1e2df50727c18da24f1705a2f865c0c5e4ad495f70af1e76a48369a61ee0b

Observation a6b59914-ca0a-496e-928c-570f116d91d7 · outbound

This paper cites The ml test score: A rubric for ml production readiness and technical debt reduction.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation The ml test score: A rubric for ml production readiness and technical debt reduction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.751562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.314629Z digest=sha256:2e32d6f97af8ee8aefbc58a0e59a31272673dfab563da4b71d3730d8eec56d7f

Observation 69ef1ee2-521d-40f9-bd0c-6e993d91c208 · outbound

This paper cites Everyone wants to do the model work, not the data work: Data cascades in high-stakes ai.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Everyone wants to do the model work, not the data work: Data cascades in high-stakes ai

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.729827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.317987Z digest=sha256:28f97e3801c24861efa1a487691c7cf774b40348d317093c2ad5ab25dcbc3c46

Observation 96855232-663a-419e-b3c2-3ee66c084a61 · outbound

This paper cites Denoising diffusion implicit models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Denoising diffusion implicit models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.717300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.322136Z digest=sha256:5f96507df7d1ee3772ebef8376ef759bf3a5c584196fd8c31f7a053a7d1cc878

Observation a4d6191c-6965-459e-8fbf-ea9bf7addac2 · outbound

This paper cites an unresolved cited work.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T16:10:03.326750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:10:03.326750Z digest=sha256:19275c3dd6c5ab6de86e8708871ef166f46d34f82970e7b07fb761b69701bd83

Observation 5971bb27-253b-4251-8e9c-8f10dd764d7d · outbound

This paper cites Improved precision and recall metric for assessing generative models.

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation Improved precision and recall metric for assessing generative models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:03.694552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:10:03.330319Z digest=sha256:957b842c35e6cab7751bce57bba18d4131874c08bdf640c37cd66fc1f022f9e8

Pith citing papers

No inbound Pith citation observations are available.