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Paper Citation Record · LEDGER

EliGen: Entity-Level Controlled Image Generation with Regional Attention

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 7 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 47 of 47 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:10:53.539457Z

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

source=pdf_text observed=2026-08-10T22:38:08.613917Z digest=sha256:24156a34f18cbb614ea30d04063c75edc50d33577ee590650e7741cd58d04b1b

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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source=pdf_text observed=2026-08-10T22:38:08.631506Z digest=sha256:393764e3e6baf47173b78a17193329250008ae963a96bc1415cca0f860d53cfe

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=sha256:9ec5b47c56b9324e7f5f98b731b7a5856fb059c1b5db6bc063615c27b2aef10a

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=sha256:63b00158e872cd4348b432d6ddc43e36179b1bc9dde45507e9f5d19a2f8fcd69

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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raw_fallback, observed 2026-08-10T22:38:09.272557Z

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=2026-08-10T22:38:08.660654Z digest=sha256:3771a1a8f12d1fb099471d88e4004143055698d4e79cd815c77aee4976bd82de

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

source=pdf_text observed=2026-08-10T22:38:08.669582Z digest=sha256:8bb3921e37d99a72d5a81b354c70cd2ec751ebe943ce06c014fba9a35b92d7b9

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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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=2026-08-10T22:38:08.673448Z digest=sha256:3bd6f168b47fbd3f660030072757d330af79ba6d00104200f9174adad67f630b

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

source=pdf_text observed=2026-08-10T22:38:08.677408Z digest=sha256:ac3eb3f8cdc0f539597b8f30721a6ac7eeca79c2223b7eba7b3b8c6e46564c26

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

source=pdf_text observed=2026-08-10T22:38:08.682085Z digest=sha256:7710e130ce8304a03ff2b112944e3b152dc29a0d7390e17ad00c0f6527d5bbe3

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

source=pdf_text observed=2026-08-10T22:38:08.686060Z digest=sha256:8643c2a9f9bfb20a1b2ac1ecc00ee89eb8f86db6cea1797c79aa93141814be15

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

source=pdf_text observed=2026-08-10T22:38:08.690447Z digest=sha256:0c4355b5ce877c6a2a96969b2dc098cc7c70390889419a236b1811076be53080

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

source=pdf_text observed=2026-08-10T22:38:08.700385Z digest=sha256:956e9abe0018dd43f614aa1f2dc337766dafdc6f1b1042b7b231c19c404a0186

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.713640Z digest=sha256:d8e04074fe015272c6b42b338c858ae18a17d682a2130547f5c64ed9308eafb2

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

source=pdf_text observed=2026-08-10T22:38:08.718182Z digest=sha256:a3c8da4a28cca4ef702b26ccabe12fdc2fa4fba5aeced924c08ae95a57804444

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

source=pdf_text observed=2026-08-10T22:38:08.722259Z digest=sha256:79c87887483ca68ad099779b9cf152aea18ed46dfd7cbf58b4f6525b0365c193

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

source=pdf_text observed=2026-08-10T22:38:08.726239Z digest=sha256:8045de8854130a3bf04ebafdbcc631ebacb0ebaec3eb02407d8979002591024e

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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Source-reported events for the cited work

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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verified fuzzy
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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=2026-08-10T22:38:08.741146Z digest=sha256:dd9274d009cacec3426b9720c05d69e26a6929c35ccabaec8824eae059d5c5c7

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:d866dec577fbe78a14d5536f6aa509a6e1880fb168fcb6ce6e60067eb1a1e1fe

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.754787Z digest=sha256:60d10f05b3ac928add17e48a11dfcd27690beeb011deb7338e03b37c6f166afa

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=sha256:31ba3a7f4d0da3247e1f2e8f7a5d57d6c0c7d8fd0ab6e1bb501f696cdce3df19

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

source=pdf_text observed=2026-08-10T22:38:08.768947Z digest=sha256:f37ed6460ef7839c19fbf1254d4429ffb27ae33ae7e763df3e5b9c25eb2e136f

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

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

source=pdf_text observed=2026-08-10T22:38:08.773689Z digest=sha256:9a06e47d368c1acb2a0d25b77f85b8b1503a14687963fead8fe55bb62cda1488

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

source=pdf_text observed=2026-08-10T22:38:08.779058Z digest=sha256:62e89e93586f4dff225952a283c66ea12ba21d291403f5b90aef86c0e2786171

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

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

source=pdf_text observed=2026-08-10T22:38:08.784726Z digest=sha256:d50d8c77d820a7eccfde7020bba3757d797d9859a162ecc810ffc548a0cc1758

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

source=pdf_text observed=2026-08-10T22:38:08.788959Z digest=sha256:dacd7300624841af0d81999caa9d7d58f3ebb419ca641998df01015898ecafa6

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

source=pdf_text observed=2026-08-10T22:38:08.792923Z digest=sha256:fab8ea7e91daebecc8e906ed0d4f3f74acdc459fd84a9ff3c0a1200b7f283fb9

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

source=pdf_text observed=2026-08-10T22:38:08.796809Z digest=sha256:4872c6b1914531867677515ec051f922562ded51f06b9c1eaddda6bf1128ea12

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

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source=pdf_text observed=2026-08-10T22:38:08.640912Z digest=sha256:7934b3edd7f71b0f7856e1b04cc7fab7ae2cac42ac8ea4e23e847f9b1161405b

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

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

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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

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verified fuzzy
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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=2026-08-10T22:38:08.618716Z digest=sha256:f145dc2f6372e5bbf56cc43cc6f2756f738e59948c2cbe7e31b5404172c900b3

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

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verified fuzzy
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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.

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Pith citing papers

Observation 7ed96fd2-5ea7-4652-bd25-c2cd89e6c9c6 · inbound

Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space cites this paper.

Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space EliGen: Entity-Level Controlled Image Generation with Regional Attention

Reference 55

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no resolver link, observed 2026-08-16T05:10:53.539457Z

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source=arxiv_source observed=2026-08-16T05:10:53.539457Z digest=sha256:2298d23f3561bbb7996ae23e94ec3699b47b694adf5aa5602087296b56072858

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

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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

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

source=pdf_text observed=2026-05-10T14:22:30.898080Z digest=sha256:507150bf0ea4f4533da45183db59a5212e1fe53bc1da9f8c0947f68a39935575

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

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

source=pdf_text observed=2026-05-08T18:23:12.827094Z digest=sha256:295ede6bc13ee8d8a9da92255b1d36bffc59e313bce2dae1f60eb8b8dfe60e48

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

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

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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