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Paper Citation Record · LEDGER

EliGen: Entity-Level Controlled Image Generation with Regional Attention

As of 12 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 2026-08-12T06:34:41.77262+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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verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.613917Z digest=sha256:38bbe4700c370322aa35cd43d827f90f66669efc06dec017312a46509ce0a2fd

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=sha256:215c64a90e1b5266d664560366aa5fdfbab7b4502dda532d205da2314ea5eb0b

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=sha256:1e7b4e9b7bb21cc1387dc6f89dabf8dc244e246b3e45e18f7946e2b6e395e4dc

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.645351Z digest=sha256:ba820a0c9e808734e2d5bce484c72add36d76d6882753c8feceb3a110505aac5

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:b191f1aabcd135faf84e22c5eb9209e912e7a28c96e0497887c893f05b85a8a3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.660654Z digest=sha256:b85ce509af29ada07cf1893c474f0c0f2cca71ac72c3cb31ee1c831f24189c0c

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=sha256:706e765a6c23b053fe13b1aeb25d5956d0db10194f302ec9428d7e432dbdfd5f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.669582Z digest=sha256:e5bb94ee5551c3bb81e8aefc9138370d08a6317c8a72762c1b20afbcd0a6013a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.673448Z digest=sha256:547720f4e4a811be4d05bbaa170a78095f28e6f32d3256b691607081f5bca4b1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.677408Z digest=sha256:c25e9d118973cd9dacb45a316874fa869bdd8630e6c7e87186b164891bb0725c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.682085Z digest=sha256:b883d32dc492653df79e85df29937bde2efab0c790130c05e9396a38bd2d63c4

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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raw_fallback, observed 2026-08-10T22:38:09.209715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.686060Z digest=sha256:b13912b54fde9d84bb24512a6a44040ed4c5f8e97c90ce5e04885d546a7fd555

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.690447Z digest=sha256:905ade6eb48174bf674098067ec36af75d30a44d7b2ccb6508b3b0c05cba097b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.700385Z digest=sha256:0a5ecff922b0ae551537aecb296570483217cdfce8573d795fc188e3f49ad862

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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no resolver link, observed 2026-08-10T22:38:08.704559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.704559Z digest=sha256:17a8e6caa0488984a2694474b1cff841d5b14469606b3a11c5cde082a9fb2a0b

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=sha256:426a0f13170c223cbf9edd0728d46ab91d82ada7004e124df7529ae2f242ea17

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=sha256:2b3c7cf346903f2e6ccd855ca56509fe22e2410d8e213c94c0c2869d87e27ffe

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.718182Z digest=sha256:41c6da3835b9ddb54218d5a112fe8b9e6c9ac8aa9845b315b32e1e947ec97f5f

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

Resolution
verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.722259Z digest=sha256:4aac12732dc236eff810b961ba3c851723daba66cfe72ab1c10115fbac2a939f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.726239Z digest=sha256:7250f730ec0ff99daa3ea20452860d88f2788d1e71ff723a0372ae07ec19444c

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:d5593fc6c99063c782965ac58355af25a607624d6a3fe0dd5b0791f21bdaa91d

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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raw_fallback, observed 2026-08-10T22:38:09.116982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.741146Z digest=sha256:51127b8bb7c8270544c61b1691d684f1c683339ce594feba6546e20b8b59492d

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=sha256:899783bb235c5c0f4b00d12ac0bb189602d50ae79dee582b42532d99e2b05254

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.750078Z digest=sha256:0f3718db490da488ee284eb35c43690232884d92501d91f235589aa2b22ed4e5

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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no resolver link, observed 2026-08-10T22:38:08.754787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:08.754787Z digest=sha256:25587515ada89401a8cf79b72ec82bdb9b5f10da4243681b2f0e27b0fed2d9dd

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:fdb641e075e4525d1edaad1251b17a435f3a91cadbaddbc13ed97843207abba8

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

Resolution
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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=sha256:10b295d205deb9177c6a33a6cfce2c03f6cc9f14672b29e2e0020f48ae1a3c55

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.768947Z digest=sha256:aeaa695aad232a76a6d2025056ccadc210c7d410e0431970622d83964faf4f59

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.773689Z digest=sha256:8602e087052eb5dcaba85a38003dee41c5e17d4c76c459628de208938fa7958d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.779058Z digest=sha256:55b532978161d2c19b76953e97ad55f00082c3fef6fdedbd94b3d81271e3d693

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.784726Z digest=sha256:fc96052b5637b749f3806052f282957b2045fbdedd29fb7458142bec13bfecd3

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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verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.788959Z digest=sha256:76da859dd0d415d80bde44abbf2efd5720248ff264aa12f8bc583dd45bd5e17f

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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verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.792923Z digest=sha256:8ec8f37a4cbfef00af7946282d4651f940104d03f323e21c4670e61cc1b9677e

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
verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.796809Z digest=sha256:c33bc898d8953f373283d55afb6d10efbcabba1288ac3119cf838ba553bcd054

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=pdf_text observed=2026-08-10T22:38:08.695381Z digest=sha256:69c3272bbcc97efd1bc6243fb68ae4cc9633aaa9948dbb1b17408dd4400ae0d7

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

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source=pdf_text observed=2026-08-10T22:38:08.736672Z digest=sha256:db819ca7eebda65ae70e7527c3ac48fe24dfcbc041b30c83deb5b1ca8ac43742

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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source=pdf_text observed=2026-08-10T22:38:08.640912Z digest=sha256:18457300ef172f5692c3e1d6232d3a63877bff7e677c1d20c2df37210a12fffc

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 2026-08-12T06:34:41.77262+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
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:38:08.618716Z digest=sha256:9784376daa6fd74768d4ce5139a391abcb12308e7357e046afe0f1da85722f6a

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
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 2026-08-12T06:34:41.77262+00:00.

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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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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:a0adf049fabd026d739b22f6754553664ef90e9971903bee267db0a9582ed3f6

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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T14:22:30.898080Z digest=sha256:21c287917e90a35a3bd867992319a3bceb31e837406f6cb4c28e88dfeb8acca1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T18:23:12.827094Z digest=sha256:a28b4471c84a79d4de6290f01c928a8091942a59412549e628a8c05562937b42

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 2026-08-12T06:34:41.77262+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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