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Paper Citation Record · LEDGER

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.04347.

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

pith.paper-citation-record.v1
2505.04347 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:49.638653Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:17:19.634242Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4145f01c-9bbc-4820-9dfd-360182efb716 · outbound

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

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e05bc6a4-b9ec-4f7c-b7d4-dceaf9e64b83 · outbound

This paper cites Midjourney,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Midjourney,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e8c2edc8-54c6-4271-be29-5b5ba9d15bfb · outbound

This paper cites Dall-e: Creating images from text,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Dall-e: Creating images from text,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c27bf65b-3b18-4f27-b68c-4ff56a74b6d3 · outbound

This paper cites an unresolved cited work.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7725f788-46c3-4ba5-9b80-88dd401393ff · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Photorealistic text-to-image diffusion models with deep language understanding,

Reference 5

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raw_fallback, observed 2026-08-15T23:34:50.158200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6fd5c28a-0b34-40b4-9bc9-89d5c7340dce · outbound

This paper cites Ranni: Taming text-to-image diffusion for accurate instruction following,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Ranni: Taming text-to-image diffusion for accurate instruction following,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ffc1831e-f0e3-4e35-bf10-641ee1f422ea · outbound

This paper cites Scenecomposer: Any-level semantic image synthesis,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Scenecomposer: Any-level semantic image synthesis,

Reference 7

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raw_fallback, observed 2026-08-15T23:34:50.129583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c9fb6e4a-0dd7-48ea-957b-e240f2988ad8 · outbound

This paper cites Dense text-to-image generation with attention modulation,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Dense text-to-image generation with attention modulation,

Reference 8

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no resolver link, observed 2026-08-15T23:34:49.490509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.490509Z digest=sha256:637ef3e7bc2481c2f17e1d4985bdd6ba62caab94200d7539bdca4a9e669c3d8e

Observation e570dea4-82a6-4cd4-b7f8-379fc5064c97 · outbound

This paper cites Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion,

Reference 9

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raw_fallback, observed 2026-08-15T23:34:50.103877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 08dabad3-ee7e-469c-9c0d-286bc80078e7 · outbound

This paper cites Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 84e9e039-4a30-41d0-a4b8-60eb03f2ac1c · outbound

This paper cites InstanceDiffusion: Instance-level Control for Image Generation.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion InstanceDiffusion: Instance-level Control for Image Generation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.506636Z digest=sha256:93a65954158e6357c968558c94712719c7c9934c5b74a6cbcb2a50151211d891

Observation 18303534-186e-4068-a9e0-47fbdb27801f · outbound

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

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Adding conditional control to text-to-image diffusion models,

Reference 12

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raw_fallback, observed 2026-08-15T23:34:50.076127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8d6e6530-cfee-4ef3-a0fa-4a03b2d84996 · outbound

This paper cites Detector Guidance for Multi-Object Text-to-Image Generation.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Detector Guidance for Multi-Object Text-to-Image Generation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.514493Z digest=sha256:dc8034be8d0f26d54a03ef222a2a6cceac9ab1a49878430c31269a39d1ccde97

Observation 93c59ef0-0131-412c-8038-b93fbc616166 · outbound

This paper cites Adver- sarial supervision makes layout-to-image diffusion models thrive,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Adver- sarial supervision makes layout-to-image diffusion models thrive,

Reference 14

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raw_fallback, observed 2026-08-15T23:34:50.063918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.519704Z digest=sha256:c8112bdf6dca44ae0a66ae973f7ea71b173679b82ee60322d3f27df8b61cac85

Observation 6723baa8-a5df-4781-9d06-ab62a4ad985b · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Grounded sam: Assembling open-world models for diverse visual tasks,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.524371Z digest=sha256:4e6eb47462d8c9aff00a7f609eb99c7ef2e332f389699b51b25374e16ed913a9

Observation 916f5dd8-df16-49e9-b172-051130abaec6 · outbound

This paper cites Denoising diffusion prob- abilistic models,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Denoising diffusion prob- abilistic models,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0ba393e3-15c2-4216-a76d-26752235c282 · outbound

This paper cites High-resolution image synthesis with latent diffu- sion models,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion High-resolution image synthesis with latent diffu- sion models,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a22c75f-156b-4746-9f7b-f05e03f0b2eb · outbound

This paper cites ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fede20ef-04fe-45cf-a1a1-2111c017be9f · outbound

This paper cites Diffusion models beat gans on image synthesis,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Diffusion models beat gans on image synthesis,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.547587Z digest=sha256:19914ed376f5ce75c4c86e2f9a1a1aa2ba905d5036a869e6e58cae14b519e784

Observation 2d8022e9-ad05-4a36-8bbd-dbe244ae0228 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.552444Z digest=sha256:b2755d4e7915e351f476fab7631d81974cc5db0519d52e7885d4f501cea7b69a

Observation 21ed3ec9-0a56-40e4-ac07-8b7315a23179 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermody- namics,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Deep unsupervised learning using nonequilibrium thermody- namics,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.556576Z digest=sha256:48bde0966f5be6f8fe41fdd396db7dd333b8c6c36071faeff83db1165e4ccf15

Observation e7665c01-b9be-41a5-84ad-6c74b0077265 · outbound

This paper cites Modelscope text-to-video technical report,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Modelscope text-to-video technical report,

Reference 22

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raw_fallback, observed 2026-08-15T23:34:50.006383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 54a089f0-818a-4020-b419-12d0c6d46456 · outbound

This paper cites Magictime: Time-lapse video generation models as metamorphic simulators,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Magictime: Time-lapse video generation models as metamorphic simulators,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.993881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.566223Z digest=sha256:b8761e574c8a2dbc4f245630224f4a645b1dcc6b5db0bfb97f5c24c8b72a147c

Observation a68c36cf-fdce-4825-926d-e267396a2faf · outbound

This paper cites Champ: Controllable and consistent human image animation with 3d parametric guidance,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Champ: Controllable and consistent human image animation with 3d parametric guidance,

Reference 24

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raw_fallback, observed 2026-08-15T23:34:49.981914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.570538Z digest=sha256:62c8c4781b9864e5579961654f96f829b116e1a1b513040ea4e16bbb14042f23

Observation 10a15bf3-4321-4554-b0a8-30db7947d738 · outbound

This paper cites Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation,

Reference 25

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raw_fallback, observed 2026-08-15T23:34:49.969200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.579029Z digest=sha256:0729cfa702ee0e1db5ce39e8ed5e87c16d95556a13eff037d25e53ab8420c749

Observation 54971bf6-857a-4dab-9d6e-47187e1d5896 · outbound

This paper cites Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.584217Z digest=sha256:9e65fd37a72eb6095dc1d44158796d4a171b67f74fe621267941d6e4685fa77a

Observation 59e6cd46-290b-4d87-aa74-f1fa42c239a8 · outbound

This paper cites Generative adversarial text to image synthesis,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Generative adversarial text to image synthesis,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.953963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.589320Z digest=sha256:0ad49e9f54a14c053009e3c01fdd53e06360aab22ab9d8b9859e2e5876568bb9

Observation 6794cd72-9dc2-4422-ab7e-0ae492f07ca7 · outbound

This paper cites Learning what and where to draw,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Learning what and where to draw,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.938990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.594418Z digest=sha256:d8023cf58a8fdf3c7ad2f622b0d1a795bab3adc100c8b71602c7ba52cd4ce568

Observation 99fcc02b-c39d-48b8-bb5a-9d7d51a4c3f3 · outbound

This paper cites More control for free! image synthesis with semantic diffusion guidance,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion More control for free! image synthesis with semantic diffusion guidance,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.922934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.598726Z digest=sha256:2700dce65f8f41f1e70161f06fea11bc19964438b86a3ed2a758e1e938f083c8

Observation f9bde8c2-961e-4a71-97e5-4785454e9a4c · outbound

This paper cites Classifier-Free Diffusion Guidance.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Classifier-Free Diffusion Guidance

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.603495Z digest=sha256:8bcdb83d8e89fa5f74250a74f106f700c1864695f41a18b1bd229a5c0c07c1e3

Observation 066dd14a-411d-4662-a245-81dc84285ff7 · outbound

This paper cites Universal guidance for diffusion models,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Universal guidance for diffusion models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.908918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.607733Z digest=sha256:7d49de5f42b047cfd61790ff52fd72096a68c2421ec43107a820d7f83704fbf3

Observation 002b2295-fb98-4f8d-9bad-3ab304d1a9c2 · outbound

This paper cites Inversion-based style transfer with diffusion models,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Inversion-based style transfer with diffusion models,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.894032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.611759Z digest=sha256:7b992d55d04c3f1fc15c8d815828ed6b8f49916296ad918cc6eb6dd0616a8410

Observation a257889d-918d-4509-9b11-e4da488fc5bb · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.615908Z digest=sha256:86e974b3a0f3cc96a20e4a98e7db2b9ff12aad3a7a756bb252542e735b5cb221

Observation 9a849933-5def-4fc9-af78-cbfbc2848ac4 · outbound

This paper cites Make It Count: Text-to-Image Generation with an Accurate Number of Objects.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 34

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no resolver link, observed 2026-08-15T23:34:49.620099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.620099Z digest=sha256:bb0ac4119e727ea261c661bdac64d5a7726857ace74169d8c1f045c2a9d45c47

Observation 9fc1efae-4205-463d-ba9c-26e96039385c · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T23:34:49.624612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.624612Z digest=sha256:bcdc0fec06f3e848fcebf967b784d447310fd90c4c9f4b863ac03009c772b9fc

Observation 5174fd18-1543-4b42-bb95-181394f0a034 · outbound

This paper cites Attention is all you need,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Attention is all you need,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T23:34:49.629619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:49.629619Z digest=sha256:27858813ad691f494a5dc2c9e9abedd9dfd34925047534471705e5fcee20a625

Observation 356c2531-29c8-42ee-82c3-ce24238e2de4 · outbound

This paper cites clip-vit-large-patch14,.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion clip-vit-large-patch14,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.872079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.633873Z digest=sha256:28fbdb06eb4a91443137ccc5674316a4efc4ca4c4af9d1b80e73497007fc755f

Observation 7e9d78b6-d045-4fbf-bd9c-2d5aae6f7a65 · outbound

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

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Imagereward: Learning and evaluating human preferences for text-to-image generation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:34:49.854133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:34:49.638653Z digest=sha256:ce505330c1cdaf87c8a7395ecbe3291c897bb69a48ade0e337aaeee592055b1a

Pith citing papers

Observation 4a0bf9cf-6974-4ea1-97d6-cf4406cf7544 · inbound

Transferability Between Understanding and Generation in Unified Multimodal Models cites this paper.

Transferability Between Understanding and Generation in Unified Multimodal Models CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-11T19:17:19.634242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:17:19.634242Z digest=sha256:d30d12af3122279c269cf69f1a58804db446fa743aa07f83d850560712baa230