Pith. sign in

Paper Citation Record · LEDGER

DreamPainter: Image Background Inpainting for E-commerce Scenarios

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2508.02155.

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

pith.paper-citation-record.v1
2508.02155 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:11:38.967489Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T13:50:51.666642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:37:29.535099Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9256af64-ce81-4574-aab8-6583171c1564 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Instructpix2pix: Learning to follow image editing instructions

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:40.946249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:35.678013Z digest=sha256:2adef8b7af6df8a475226541011f05dbd54502ecaf2757cf7fe85cf4206a1a4d

Observation e2e122cf-b3ac-48c6-9141-d11ef9854c47 · outbound

This paper cites Ecomxl controlnet inpaint.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Ecomxl controlnet inpaint

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:40.815460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:35.727126Z digest=sha256:a60e916c0fba7f3ec4e648d30c59bee3d90804e80d1c7e2e4f8b46668823c386

Observation 5c1bdffe-f8cf-4ea2-b639-3fee1502a3be · outbound

This paper cites Flux.1-dev-controlnet-inpainting.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Flux.1-dev-controlnet-inpainting

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:40.704532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:35.802011Z digest=sha256:2f3aa8ec88713f157a6dc30dba483fe3f1369f7bb7a439a355811a4613d12d9f

Observation f6eb88e0-fd55-4ab5-ae1e-59e348a9e7fd · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Emerging Properties in Unified Multimodal Pretraining

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:35.917410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:35.917410Z digest=sha256:15f2a515b7157060696c1a2cdcf92102533d661992f085d7008d5555a7a53388

Observation 763ae480-8ff6-49d2-9382-64c9f6a1c52f · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Scaling rectified flow transformers for high-resolution image synthesis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:35.998205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:35.998205Z digest=sha256:5e18337ed7e0c968fa136e07b575cd5bcf716607b5d67b20576eb6a70688d50c

Observation a1c72dec-b4e1-4713-a1a7-8eecb6c0766a · outbound

This paper cites Seedream 3.0 Technical Report.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Seedream 3.0 Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.107724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.107724Z digest=sha256:3a9868422abf2913576bc6b34c66d83cf0973232d65950f38ead89d8cce68cd4

Observation 73197b35-2d3c-4229-ad25-3d360c647419 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

DreamPainter: Image Background Inpainting for E-commerce Scenarios SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.189700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.189700Z digest=sha256:58bd52ddb879069fd90325ae2269f2532d6efd663b612dedf65f34631e14e77c

Observation 9a5d1588-5bcb-4903-8e6f-be5d37a4e186 · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.301548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.301548Z digest=sha256:2d01f5f34805e9d4ed3e7552f46cc1c573b4bf7ec2d6864eb453fe7e5e3f09d7

Observation 3824cf38-e098-4f5b-8cf0-b64301be80bb · outbound

This paper cites VACE: All-in-One Video Creation and Editing.

DreamPainter: Image Background Inpainting for E-commerce Scenarios VACE: All-in-One Video Creation and Editing

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.379819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.379819Z digest=sha256:4bc3f6435607fc7c9a708f4e215c1d74f35a1efdff2adfe3654e10421986f7df

Observation 546153b8-0573-4b93-b8e1-f1eb9a6c786c · outbound

This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.469254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.469254Z digest=sha256:7bff026c50394443e86c5e8e4d16bd72461e4c78c85d8ded778a10d9514184cf

Observation 2bed47d4-b1b5-4c56-a71a-656996e41008 · outbound

This paper cites Segment anything.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Segment anything

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.546883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.546883Z digest=sha256:38458e4d6e34847a47d3801477f01655e424f69f9db10e4ce30f8f2266e76124

Observation be35da0f-5848-4001-9b0e-732b2b59a30f · outbound

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

DreamPainter: Image Background Inpainting for E-commerce Scenarios Pick-a- pic: An open dataset of user preferences for text-to-image generation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:40.499433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:36.662905Z digest=sha256:c1ac484a4991355653125d69dc558a6ba843958d35934a594b61932a54b19ec0

Observation e0851c81-6e4a-47ae-a134-3bec0d5f186e · outbound

This paper cites an unresolved cited work.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.732314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.732314Z digest=sha256:c5ccc38f308e69df73070727c35a8e52e80b75d0d103e4a577b67256b7444ada

Observation d99ed506-e978-45b7-9422-b9a058958246 · outbound

This paper cites Flux fill.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Flux fill

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:40.326183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:36.811036Z digest=sha256:5106eac5553b00795d083059450e1b250a1d651f20d8745ed8b3e0efb4e7fdda

Observation eaf5b745-ff74-4d54-844b-365cda4154c5 · outbound

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

DreamPainter: Image Background Inpainting for E-commerce Scenarios Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.913989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.913989Z digest=sha256:a792ea671904319a5d8cb990aa82040591da5994f583810004e692b23c1d0917

Observation 3118fdcb-d10f-4ac6-a241-8170b8ecd440 · outbound

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

DreamPainter: Image Background Inpainting for E-commerce Scenarios Repaint: Inpainting using denoising diffusion probabilistic models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:36.995074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:36.995074Z digest=sha256:95eea2b0874b99ca776a2e630f31edb586f88121574aae24a4fe97a885bfd41e

Observation 2c50e371-2023-43da-a270-d1a812f75d08 · outbound

This paper cites T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

DreamPainter: Image Background Inpainting for E-commerce Scenarios T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.092802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.092802Z digest=sha256:b8859cd24f55d89a33c99fca7e23230df4d175e5f78b6fd0c6f4a01eaa74991b

Observation 8341ec36-e2b8-4645-8f6c-c780ffdc5560 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

DreamPainter: Image Background Inpainting for E-commerce Scenarios T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.186317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.186317Z digest=sha256:67c6299f9f187629cfacecbb13fc8c59b70aa4accd2fc3d747441fa2ee80ae78

Observation 3a857230-0b0f-485d-a981-faca8ebc53a3 · outbound

This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.

DreamPainter: Image Background Inpainting for E-commerce Scenarios ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.262766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.262766Z digest=sha256:73c0e7179e54368a675b45e5de20d6cb82bebc387f375fd12597dc64d76ceb3e

Observation 5e1a408e-b8fc-45cb-b025-4ab9e18c6075 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

DreamPainter: Image Background Inpainting for E-commerce Scenarios SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.407101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.407101Z digest=sha256:ceebeaac64a48b4d0741d0438d523645c479b2fc7a513b97e768212b436aada4

Observation b54b9fe5-18d1-4fcd-beec-49ef5d02d272 · outbound

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

DreamPainter: Image Background Inpainting for E-commerce Scenarios Learning transferable visual models from natural language supervision

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.486219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.486219Z digest=sha256:22587675c1ca7d98c20aa4587bb74300178ebaf43412d0d983b87c0997f8edd6

Observation 55392350-6eb2-4348-bfdc-b014519a2d86 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

DreamPainter: Image Background Inpainting for E-commerce Scenarios SAM 2: Segment Anything in Images and Videos

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.585902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.585902Z digest=sha256:8721280cba60f40f94d7ee94c32a5bf07bbf7f3a6193df12b7189d7dfc0d3f5d

Observation 297710ff-cd8d-4e93-aeee-905566fe82df · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

DreamPainter: Image Background Inpainting for E-commerce Scenarios High-resolution image synthesis with latent diffusion models, 2021

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.699676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.699676Z digest=sha256:b6030c65e20d99c9e9933145ae45d9b9b6a8efd0007fa680ac9bad237d689736

Observation e0fda20d-9992-49b3-863d-70eaa942a62f · outbound

This paper cites Resolution-robust Large Mask Inpainting with Fourier Convolutions.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Resolution-robust Large Mask Inpainting with Fourier Convolutions

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.831334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.831334Z digest=sha256:96e97b82e467a1cd08de56f0a2932a6bd75f73c70df2739388eeb3b47bd3a8bf

Observation 5a3191f9-c4be-4629-83ad-b17f497a79c5 · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

DreamPainter: Image Background Inpainting for E-commerce Scenarios OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:37.937379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:37.937379Z digest=sha256:165baf3312cb2ed0bfd7099689d79d062372f89d9855a1eee9ea3f5570903f6f

Observation 97454a0b-55c5-47af-a65e-13670dda8838 · outbound

This paper cites High-Fidelity Pluralistic Image Completion with Transformers.

DreamPainter: Image Background Inpainting for E-commerce Scenarios High-Fidelity Pluralistic Image Completion with Transformers

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:11:39.271515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:38.072720Z digest=sha256:d1bb6d0cee54a7a777e4f4a11205d4cc3e93f8c835b24e18e2584597d335d7bb

Observation 668c6abe-2129-45a3-b366-f2ccca0500b8 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Emu3: Next-Token Prediction is All You Need

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:38.205461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:38.205461Z digest=sha256:f50006ed64466717480c56cf31e3d4458819406db7fb559dd600d9fe479d98b6

Observation 77515524-4a0b-4c95-91a5-f8085a14a04d · outbound

This paper cites Less-to-More Generalization: Unlocking More Controllability by In-Context Generation.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:38.326855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:38.326855Z digest=sha256:5fe137576ab0f7fd083a12fd51e7e85f48820f0291b15305b64174e8f42f89e5

Observation 6ae64f0e-3fd5-4dcc-a05c-4a4609d2b3cf · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:38.467748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:38.467748Z digest=sha256:34387dc296e91750d81850f6e7856bcad3e26e2f0aced1738e0e20f03f3cdac9

Observation b1fb9062-9309-43b1-b23a-ed2f80012a2b · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

DreamPainter: Image Background Inpainting for E-commerce Scenarios IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:38.568295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:38.568295Z digest=sha256:fb476c478451effce95e50c05f3fa9ff085855fcec7172823cfaf767ccdd53cf

Observation 851fe8ca-7baf-418c-8f2e-74bc414666ae · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Adding conditional control to text-to-image diffusion models, 2023

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:38.630579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:38.630579Z digest=sha256:720357e9c75ec9f41fce10a0a07b6afccfbafb201e72ac5cd82d1bbc2262c6f7

Observation 5401b72e-d522-4b8f-85b5-9df65b8686b1 · outbound

This paper cites Large Scale Image Completion via Co-Modulated Generative Adversarial Networks.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:38.694850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:38.694850Z digest=sha256:1ce2b9971cf038df89135f60f31a3d8be22c239237adbcf8cc5172edc7ceaaa4

Observation 7d67e739-22e8-42f3-b3a9-e588dfbf9ee2 · outbound

This paper cites Omdet: Large-scale vision-language multi-dataset pre- training with multimodal detection network.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Omdet: Large-scale vision-language multi-dataset pre- training with multimodal detection network

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:40.124188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:38.770737Z digest=sha256:cd33c97e5fb0f95f31e4f2968523cdaf21b73a07a7f603da4dc971d230d730b1

Observation 17438996-c7c4-44df-986e-fe9830864d31 · outbound

This paper cites Cogview3: Finer and faster text-to-image generation via relay diffusion.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Cogview3: Finer and faster text-to-image generation via relay diffusion

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:39.940779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:38.827132Z digest=sha256:82b8088f80a10493b8840e56b9f040a49b7152fdac39e055580bc3e27a132e9c

Observation 85a2fdff-11e9-4a36-9714-f6cddb02c28e · outbound

This paper cites Cogview4.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Cogview4

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:39.787335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:38.907592Z digest=sha256:166e25e9f46fe8d505f32893052e734c955a725319d4f9989a92336fbaa2dd04

Observation f682f0d2-83ed-4be6-abc9-04326c215edb · outbound

This paper cites A task is worth one word: Learning with task prompts for high-quality versatile image inpainting.

DreamPainter: Image Background Inpainting for E-commerce Scenarios A task is worth one word: Learning with task prompts for high-quality versatile image inpainting

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:11:39.606674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T05:11:38.967489Z digest=sha256:d363316d1d44cc78413b4c34b9f36e05da727770fa8dc0339937170de1667ac9

Pith citing papers

Observation 48576ef6-bd00-42a3-b5ab-91a4eba5a276 · inbound

Pinterest Canvas: Large-Scale Image Generation at Pinterest cites this paper.

Pinterest Canvas: Large-Scale Image Generation at Pinterest DreamPainter: Image Background Inpainting for E-commerce Scenarios

Reference 48

Resolution
malformed identifier
no resolver link, observed 2026-07-15T13:50:51.666642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:50:51.666642Z digest=sha256:6afc5673c6f4c6d7f0240f6208a6b23dac57508590aebeb0cebac7ca7936d94e

Observation c54bfc2c-b1bf-4d20-9674-a0ce9485f766 · inbound

Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generation cites this paper.

Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generation DreamPainter: Image Background Inpainting for E-commerce Scenarios

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:41:36.503826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T06:40:02.167172Z digest=sha256:d0b5eee0bd4fb8160fd07dcd894391be546981ff390723503052aef45b8af3ea

Observation 1f2bfdd2-9075-4fa6-94e4-662dcd1df4e4 · inbound

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models cites this paper.

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models DreamPainter: Image Background Inpainting for E-commerce Scenarios

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:37:29.538662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T07:34:41.000570Z digest=sha256:4dd97d6083b884ffde268b90909982daba5311d462b970aab42e062629691b58