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Paper Citation Record · LEDGER

EliGen: Entity-Level Controlled Image Generation with Regional Attention

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 6 inbound Pith citation observations for arXiv:2501.01097.

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

pith.paper-citation-record.v1
2501.01097 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:08.796809Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:55:03.579238Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:48.480071Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5a79a7e-5ea1-4a8c-ac45-a223d3e64e30 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 1

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raw_fallback, observed 2026-08-10T22:38:09.321463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.613917Z digest=sha256:5184fcd6462b622526659ddf35acd9a3892ff7664960fe696c075a02083b31a3

Observation be90677b-0bc9-426e-9c16-1ec9735c9290 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.627180Z digest=sha256:3ff8af2ff2e0ea0061bd860dc9779b607aab800b6094c8afd63b539332af2456

Observation 8dac1ee8-704d-4aaa-a420-c2dc4ed2b52e · outbound

This paper cites Classifier-Free Diffusion Guidance.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Classifier-Free Diffusion Guidance

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.631506Z digest=sha256:194370eb0dc554ce957fd8ef5accc819481f79e686d341952aa80a40936a85bb

Observation 49598589-de54-430b-888b-cdd0bc87211e · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

EliGen: Entity-Level Controlled Image Generation with Regional Attention LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.645351Z digest=sha256:d9d8da01d676528dbf98a6e67d3715384723a7f56d8e84732b52602d1289a37f

Observation 729c17b6-93ff-4943-be79-f53f9ff62540 · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

EliGen: Entity-Level Controlled Image Generation with Regional Attention In-Context LoRA for Diffusion Transformers

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.656231Z digest=sha256:e0a02c0a3c5fa07d2f8a9c43d3c62fae182f65f9b1d2908c460462afd82a9bf8

Observation 65951187-75b4-4ace-8da7-c5a2714f9f52 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Elucidating the design space of diffusion-based generative models

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.660654Z digest=sha256:bb49114c269fe8cadeb10782c7f5501b4ff4a1b3c4b1d83d536cb1da3cd713ff

Observation 0e614677-d924-470a-9822-545d08696c9b · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

EliGen: Entity-Level Controlled Image Generation with Regional Attention YOLOv11: An Overview of the Key Architectural Enhancements

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.665191Z digest=sha256:2a93787779eeaba93553246f8963d6c39fd2d7e77c6233296464080c428e6bf6

Observation c879f410-e260-44f2-8dcb-4c7487cc978d · outbound

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

EliGen: Entity-Level Controlled Image Generation with Regional Attention Pick-a-pic: An open dataset of user preferences for text- to-image generation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.669582Z digest=sha256:ef9a0dc21702a10ddb790501c33891125a4079a20989e8d1d703ed50c37e7a2e

Observation f1737201-10ee-4970-bc12-0f184de028a5 · outbound

This paper cites an unresolved cited work.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-10T22:38:09.247548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.673448Z digest=sha256:cdb2137dc05d3fec5763599090bac543dcd04869afe018fa5c555bbcd3f1a4df

Observation fb3bb521-b8e9-4c3a-8601-d9c864d513a3 · outbound

This paper cites Laion-aesthetics v2.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Laion-aesthetics v2

Reference 15

Resolution
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raw_fallback, observed 2026-08-10T22:38:09.233246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.677408Z digest=sha256:d64566c4b3b039d7f121acb69aba2a5aa6e09ad6bff3f56660cc7bc68cdd3b09

Observation 105fde20-2a88-4bb2-a312-176fb4a10dff · outbound

This paper cites Gligen: Open-set grounded text-to- image generation.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Gligen: Open-set grounded text-to- image generation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.682085Z digest=sha256:3bf580a51aacc0f5641ffa4fc376395f0eb2905ae5359b26d35a11abd4ebe024

Observation a63399d1-d5c4-4fcd-991d-5dcf80ff1b08 · outbound

This paper cites Hunyuan-dit: A powerful multi-resolution diffusion trans- former with fine-grained chinese understanding.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Hunyuan-dit: A powerful multi-resolution diffusion trans- former with fine-grained chinese understanding

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.686060Z digest=sha256:0e12f1b3372956fd6ca5c43927578107d641b1f56547f6e65e58272229568fcc

Observation 8736c1f2-aba9-41cd-858c-87b436c065f7 · outbound

This paper cites Microsoft coco: Com- mon objects in context.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Microsoft coco: Com- mon objects in context

Reference 18

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raw_fallback, observed 2026-08-10T22:38:09.198083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.690447Z digest=sha256:fb433f007ede4072ea440f62b1186c00f4da6fcfb5e876f00cc59ad9f6f981cc

Observation 2cdf22cd-498a-435b-96f8-6ca9bf8bd54f · outbound

This paper cites Directed diffusion: Direct control of object placement through at- tention guidance.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Directed diffusion: Direct control of object placement through at- tention guidance

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.184914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.700385Z digest=sha256:0abec0ccd43ab9036fd06fe9c3d6ec2198f207f991ec61770004e63e3e614e05

Observation f924e519-bc9f-4d4c-9e14-d9d9a7f7873b · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99–106,.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99–106,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.704559Z digest=sha256:44dce52943c2f8cb8df4c6aa9a807eed045a768ee496a1bb110ab3ef69686b61

Observation 191b8f6b-b8c1-4852-9fa7-8f84caee2718 · outbound

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

EliGen: Entity-Level Controlled Image Generation with Regional Attention T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 22

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no resolver link, observed 2026-08-10T22:38:08.708981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.708981Z digest=sha256:dca46bcebce2a993522065f3f46f7cf08061393515232a5f5476dc3e6a9db38b

Observation a5811c39-76b8-4b72-b51e-50d77ce71e7f · outbound

This paper cites Scalable Diffusion Models with Transformers.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Scalable Diffusion Models with Transformers

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.713640Z digest=sha256:bcf43e15bcca257f987bf7380059fa1fd26a052e56edb389c847799e5b9444e8

Observation 12264308-9c77-4e15-9577-16f077273477 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.164480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.718182Z digest=sha256:a2088e300094f461659ddff925b7467636165ecaa3e624ebb3439314f89be0d3

Observation 82129aea-3888-4c87-94ca-c72b9cd55a72 · outbound

This paper cites Exploring the lim- its of transfer learning with a unified text-to-text trans- former.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Exploring the lim- its of transfer learning with a unified text-to-text trans- former

Reference 25

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raw_fallback, observed 2026-08-10T22:38:09.151089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.722259Z digest=sha256:39d1cc4bd69277a2fbc564d138040479321079dae56364276a537884cb5633fd

Observation d7d77227-8139-41cb-ab3c-24e182a48b0f · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 26

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raw_fallback, observed 2026-08-10T22:38:09.138946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.726239Z digest=sha256:f15c54c0e1762a8aca30a31e2cb9847dfd76718f77cc61af50da1525503d58a8

Observation c822e9fa-d4aa-4500-8c68-395bd2719bfc · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

EliGen: Entity-Level Controlled Image Generation with Regional Attention U-net: Convolutional networks for biomedical image segmentation

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.730917Z digest=sha256:349bf0539caafbb1850289c2b07622208ff6e3e92443883460ee1f8de264f6f4

Observation 661b8e76-0951-4378-b02d-a6ac425cfaab · outbound

This paper cites Instantx flux.1-dev ip-adapter page,.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Instantx flux.1-dev ip-adapter page,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.741146Z digest=sha256:0b6a963d41c28cb1fff94fc76bb65572c2bc78e904c59bb47a75042a012b3ab3

Observation 1ef87f4f-a882-4156-a97f-2557562bb6dd · outbound

This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

EliGen: Entity-Level Controlled Image Generation with Regional Attention DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.745345Z digest=sha256:5bfb249e46c580d6a0f9195ea9fc02e72f34893fbf2106479f2f8ea2a244314c

Observation caaf9b86-3d58-4073-9405-b09439043244 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 31

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source=pdf_text observed=2026-08-10T22:38:08.750078Z digest=sha256:c71a412da8d2f323ce35b1c58381855e2a477e72231be36b161f17dc5b07d512

Observation 02d7bb37-3de3-4b67-aa1b-23eb152965dd · outbound

This paper cites IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation.

EliGen: Entity-Level Controlled Image Generation with Regional Attention IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.754787Z digest=sha256:6339df70c3384bc40f0ed55c69592a8e97b4202173380fd8cb8fba1c07a42905

Observation 71b8fb80-ab8b-487d-a00e-429c92774ec5 · outbound

This paper cites Qwen2.5 Technical Report.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Qwen2.5 Technical Report

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.760053Z digest=sha256:e734e4fc9c1464ab93e2a56fa682a205c8021c71b86f1d6abe8f52244cf419a5

Observation 1176fe0d-f308-4d3f-983e-c009b12f7f2c · outbound

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

EliGen: Entity-Level Controlled Image Generation with Regional Attention IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 34

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no resolver link, observed 2026-08-10T22:38:08.764674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.764674Z digest=sha256:b48e0a7f009fb95a47d41bea3ff2f175c9be59f0b4918e65067cb1606459bbaa

Observation 7fe84694-7bab-4de1-81e9-522f6922f763 · outbound

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

EliGen: Entity-Level Controlled Image Generation with Regional Attention Adding conditional control to text-to-image dif- fusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.104059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.768947Z digest=sha256:b691ba9b7a05626a4bc1599a534f283fe9564ce29a7104d60a1c15dd366853bf

Observation 2db8a89c-00d0-4e9a-8f69-afef18264b8d · outbound

This paper cites Learning multi-dimensional human preference for text-to-image generation.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Learning multi-dimensional human preference for text-to-image generation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.089454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.773689Z digest=sha256:33184cda064353672331671bed90015f30ea789727f831b9d5bead2f5c97f31a

Observation 9bc6529c-ba28-421e-8699-e69d8393ec83 · outbound

This paper cites Layoutd- iffusion: Controllable diffusion model for layout-to-image generation.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Layoutd- iffusion: Controllable diffusion model for layout-to-image generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.075335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.779058Z digest=sha256:5f78dad71e3129bac68ee3a51bcd425be3c437775afab3bd423bff8641657830

Observation f765febd-78d5-4cd1-9265-65579d92063a · outbound

This paper cites Migc: Multi-instance generation con- troller for text-to-image synthesis.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Migc: Multi-instance generation con- troller for text-to-image synthesis

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.061137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.784726Z digest=sha256:a433627fa16ed21f54e0b56b7428f416b7eb5d951594b44fb4a35894c5b48f4a

Observation ac460fc8-f463-42b5-a187-7c806ac2f33f · outbound

This paper cites Flux Qwen2-VL 72B Global Prompt:A cute orange and white striped kitten sitting on a fluffy white cloud in a blue sky with other clouds around.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Flux Qwen2-VL 72B Global Prompt:A cute orange and white striped kitten sitting on a fluffy white cloud in a blue sky with other clouds around

Reference 39

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raw_fallback, observed 2026-08-10T22:38:09.046664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.788959Z digest=sha256:ae2469f7ac4b9400514a511bce88c6dc84dab5fc085d9a56f3aa166820e41521

Observation 0aac2343-edc9-4edf-b93a-66c8cc132b2b · outbound

This paper cites At each denoising step, the predicted noise from the DiT is fused with the noise derived from the original image.

EliGen: Entity-Level Controlled Image Generation with Regional Attention At each denoising step, the predicted noise from the DiT is fused with the noise derived from the original image

Reference 40

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raw_fallback, observed 2026-08-10T22:38:09.032112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.792923Z digest=sha256:a0bf178ea7fea06d9c7e7c22ec073fa8d39cc12729eee843c29695dd93b5c0dd

Observation 02b3fefc-9415-4f4d-b071-55de234082c7 · outbound

This paper cites Moreover, the image distribution within the dataset should closely align with the output distribution of the model itself.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Moreover, the image distribution within the dataset should closely align with the output distribution of the model itself

Reference 41

Resolution
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raw_fallback, observed 2026-08-10T22:38:09.017765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.796809Z digest=sha256:b6df6191a493f76c3813379772c00f817f9b0c185f8034b973bede23f4b9e75e

Observation 4fa2f574-e723-4bba-a8e7-63aff32e69da · outbound

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

EliGen: Entity-Level Controlled Image Generation with Regional Attention Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 2014

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.695381Z digest=sha256:27aaa8df9fad03c2a20dbad77aa1dc6fec423b80038aa63168aa787c5bb2fe02

Observation 9658cb3f-2565-40d8-b50b-9126d268966f · outbound

This paper cites Denoising Diffusion Implicit Models.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Denoising Diffusion Implicit Models

Reference 2015

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no resolver link, observed 2026-08-10T22:38:08.736672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.736672Z digest=sha256:93cee3c5a798f8a7a0e45354183ef083e836da958a289b0cd5fb77f24a512c45

Observation e17633e3-7103-4a5c-b930-5c03bcfedcc7 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

EliGen: Entity-Level Controlled Image Generation with Regional Attention CogVLM2: Visual Language Models for Image and Video Understanding

Reference 2020

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unresolved
no resolver link, observed 2026-08-10T22:38:08.640912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.640912Z digest=sha256:d0cfce331d0e47d92daeee285708a0af9a2853bf460e11eefca8b8eaea2be04c

Observation 0d5656e6-a5cd-491f-b60a-12d605ded63e · outbound

This paper cites Denoising diffusion probabilistic models.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Denoising diffusion probabilistic models

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.284955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.636278Z digest=sha256:4a7bcc52bc5a7a70fe6eb0e6f3800fcdbd7470276a041c286c6243f99c1aad8b

Observation 89fda64e-c7a6-4b8f-80b3-407bdc6ef76e · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual- linguistic tasks.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Internvl: Scaling up vision foundation models and aligning for generic visual- linguistic tasks

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.309623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.618716Z digest=sha256:d6d53783306fa89fc76eede3859552eb2e8fc3f2e940f2e22b58965533c5127d

Observation 6ef67408-cb49-43a7-b43b-5686fb2a38bb · outbound

This paper cites Flux-controlnet- inpainting.

EliGen: Entity-Level Controlled Image Generation with Regional Attention Flux-controlnet- inpainting

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:38:09.297333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:38:08.623097Z digest=sha256:b2ea1138dcd5d5ff8a3a0c01b346d1f5f589997d4a103846fb70b071a01e2fbe

Pith citing papers

Observation eeeaac15-8634-4f58-92de-f7201b31668e · inbound

CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step cites this paper.

CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step EliGen: Entity-Level Controlled Image Generation with Regional Attention

Reference 43

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unresolved
no resolver link, observed 2026-08-06T19:55:03.579238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:03.579238Z digest=sha256:5f6467a1ba542b38db18e69b47b25461d09a44000131dd0009ba12aae670abd1

Observation f502d698-26c5-4ded-89df-d98dea8f06c1 · inbound

RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details cites this paper.

RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details EliGen: Entity-Level Controlled Image Generation with Regional Attention

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:53.873507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T19:11:43.172296Z digest=sha256:8f310fa8fa30ec0de88d4fc3afea3bde6dc3535dec9d8e2a47f923f7411ca6a5

Observation 218b3b44-83e7-4777-8f44-ed3adfd63cd9 · inbound

OneHOI: Unifying Human-Object Interaction Generation and Editing cites this paper.

OneHOI: Unifying Human-Object Interaction Generation and Editing EliGen: Entity-Level Controlled Image Generation with Regional Attention

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:25:29.959224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T14:22:30.898080Z digest=sha256:39f10e64f047bf74c8d75f4be84f59d4da647b2b3d0ed4146f95afa58a15b03e

Observation 3c11992e-fa72-4d41-b16f-b7860bf1d6a0 · inbound

Advancing Aesthetic Image Generation via Composition Transfer cites this paper.

Advancing Aesthetic Image Generation via Composition Transfer EliGen: Entity-Level Controlled Image Generation with Regional Attention

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:30:44.322037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T18:23:12.827094Z digest=sha256:22f14080d9af8daea010a044c33baf38fcc89b97f2c24809f62a658d93aa5552

Observation 865bc7ed-5995-407f-9c96-85809f8bd855 · inbound

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation cites this paper.

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation EliGen: Entity-Level Controlled Image Generation with Regional Attention

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:48.481537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T06:07:06.056441Z digest=sha256:f5de86bd6288201c8bfc9ff4718d507c4f564eb8e15b7d414403dc2b92af1fab

Observation c690b184-8562-4fcc-85c0-20756f9e1408 · inbound

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers cites this paper.

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers EliGen: Entity-Level Controlled Image Generation with Regional Attention

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T12:45:20.944604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:45:20.944604Z digest=sha256:50bba300d50d2d63e481322eb9b3ca3c9a085919c29c1090afe7162577899fca