Pith. sign in

Paper Citation Record · LEDGER

DreamPainter: Image Background Inpainting for E-commerce Scenarios

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:35.678013Z digest=sha256:7456f40f555d32434e972584b78e1d2545279fed3f07cb7c44d9c053b9f7eb7d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:35.727126Z digest=sha256:281b85601554e42ff0ccedf423a3fd0bedd80d4887105ff469f6b98eea95d1f6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:35.802011Z digest=sha256:f08cba67d4dd695f911ba831882580173f12986ad6cce306688648f4d3dbb1e8

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=sha256:76ceb94b7a5868ab061b5b6d4d3418172a3069067e9d3c45e95122ad7f46ef51

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:e9c95a09119cf9b7e5069e0b4469f8487b655a3fe28c0aaa7fca373b8abe2f04

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=sha256:1667f7c353c934327a55c203700684dbcc260745c720a5e92503b192ed79d686

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:b25de6a9dd7d41ba95a9d52a2fde6f6dd5f686515bceba8932e2c8a33a296ccb

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=sha256:18512fa8f3a3e93b65504dbc612b934b68516f6ad9215447959e62ca593797d2

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=sha256:0af8c2319c2b85d6a4159ceb900dfd64f36b13a10fb29ac022a18ee4e0debecb

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=sha256:260bdf16003bef9eee8a7b2e0cdd8c77127cbd28b23c945aab5871a0c24a5dd2

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=sha256:5e86f13b7b0b94140dec9a5dd13c737a77baa7e456bd65c47e15c7c4c8da4a41

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:36.662905Z digest=sha256:a9ddf59a61ab129d62de2f051d747abce87a07969965125f5337ed9bb352ddf6

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:c702a2abc15ac7f6bef12540ea58f710abe6d9ac5a946a136bae2132ce62de8e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:36.811036Z digest=sha256:7cbf66ad7f02a22a22e5dc55332d1acc836acfcc96c5be0f306fe7724eb084d7

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=sha256:0dccec6ebf002ec5b91a7df34e90c30d57e0feb387493c7a7604f0251f207fdf

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:bbd70672b42da4e66558fa72d502363e02879106490baa8f897568f5d7509b63

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=sha256:88972e99de395e5e522c117199bcc687af664f67ffb00dda46a0ce1c892fb3ec

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:d55acca14c81143526736f8e129c129c940127f11e91b63bf226a96f630ff3f3

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=sha256:1b5ecd28a645cc04d2732a1ea459811204d3fc285817cd2383bf44f81cf4d239

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=sha256:9f3679ff6fa71b6062ad46c9c8ee2780354a89c2e7c1905a9ffd73ee72a4c5f1

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:ef19ecfabdb5df10159804ef645260839d20e2bd536890841cf0994e36690ef7

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:a180ef3b5b1a057695c83d04c142fcf3357fcbc6d780f31e3db43a3c3223ed10

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=sha256:834926233ce51b20244638925e547be8e3ae28193b7ab835d78c76d2e7f6d1a9

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:b78c7ee203cbbe4343d78558872220559f0b55bc59c6364014a000bcb35281e9

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=sha256:9a3a2bda3c76f35b00ea7c6a80176706f2334b977c4f2aece24c667f7192ded1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:38.072720Z digest=sha256:a4b7b29ef8779af397e3665df8f1ddfe4cae129e4ee889578fa68c6092aed758

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=sha256:5c0d149ecdf3933f8eee2241c8ed52c9ed47b9eb86f22ec227890ecef976c2e3

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:d188142282a30faddf4b9fa8ccad66814e9cc7c82d36e4e868a82249558cbbf3

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:efac3c0774bbbb1db836c5181e8ab8dbdcb97362b6e52bcdc7bab9486beb5932

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=sha256:8f7b978d7d934124a28b47355248095997378d33caa59160dc94f969ceefa06d

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:d5b8a9bd22df94eb1f9c22a5831045933f4649e16f5cd2d03a86efd05eedb50a

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:ae000c1bba8ae7672217d638a0bfd8acdff96c419fc122e46e05a36e14cce75f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:38.770737Z digest=sha256:03da5460313fcab8bec236608ab1f07f7bb82b4baa2050269fe14c4d59bac51f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:38.827132Z digest=sha256:94e3f479a2008a6370a05264e289d2f8c73b254bfd91e368864ef2f22e520b08

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:38.907592Z digest=sha256:38f8313e03de20d74034b6b306e1f7d0b01010458ae4e5fbccbbceb0594f723a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:11:38.967489Z digest=sha256:da5cd3781dbccb0976975d4c51e0bc4cb243d07de94015b2f908b581d5bf4655

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:c4f670507848f2ca4c4696bf62d22ab2ac89efcb89eca87449ebd3bd0944a9a5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T06:40:02.167172Z digest=sha256:5e59ef0f8639fd0756cd9d4453185a174a47bff73519d684234e796b3eae7d19

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T07:34:41.000570Z digest=sha256:0c7a2d24148ce5e8f3392569e3bcce2ea531ec84bfc951a8e97677ef4363161b