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Paper Citation Record · LEDGER

ComposeAnything: Composite Object Priors for Text-to-Image Generation

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2505.24086.

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

pith.paper-citation-record.v1
2505.24086 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:43.911455Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:16:15.417396Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

  • verified exact1
  • verified fuzzy50
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68034726-4471-4350-aad7-d7c6f1822622 · outbound

This paper cites A-star: Test-time attention segregation and retention for text-to-image synthesis.

ComposeAnything: Composite Object Priors for Text-to-Image Generation A-star: Test-time attention segregation and retention for text-to-image synthesis

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:55.301072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:37.801554Z digest=sha256:51d00dd5ff4c78b39f23588acb5e2d039a8af940655ffe89bfec0bce84fac25e

Observation d65f9b27-2103-4f6f-b3ba-06fa55ef3167 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Blended diffusion for text-driven editing of natural images

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:55.139993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:37.869669Z digest=sha256:64e5a34090dc6fe70cc1d17aad78b99bd441dc7a63370c6822eb7eb23255359d

Observation 2fe8b983-02f5-4a09-97d5-7740bf2b1bd8 · outbound

This paper cites an unresolved cited work.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:40:54.988323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.006453Z digest=sha256:3015955cfce2e904fdf147aa948950e2f79600fedb18bb1efe41b42ce651e8f4

Observation 9e0a6caa-924d-4a55-a9c8-cbc59e04f795 · outbound

This paper cites Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:54.866774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.092173Z digest=sha256:57aee05254446b0b18b0be6204631ad68991ad642db4f2aa0f483937bce947ce

Observation 82645f13-2595-4ba5-a36c-c94a66c9e467 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

ComposeAnything: Composite Object Priors for Text-to-Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:38.168638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:38.168638Z digest=sha256:4cbb977fad83c1b520df8e1ac06f89e092ad8948625a28258d59a511a1747fbb

Observation e8d545d1-2154-4d08-9c91-575a54f48171 · outbound

This paper cites PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:38.255445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:38.255445Z digest=sha256:9ef8ee8db74c6e5916db98bdb96ea907df23b0cfae7957e8ef724af5679b3610

Observation d8a42d9a-d423-4b2b-b618-02fdcec5bcfd · outbound

This paper cites Geodiffu- sion: Text-prompted geometric control for object detection data generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Geodiffu- sion: Text-prompted geometric control for object detection data generation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:54.755805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.311344Z digest=sha256:87e9fab8ca06d0e765120a2d734831702c4978cae3c9a7ac0983a7250d75451f

Observation 03e782f1-16fc-4cf4-b772-dd8bb9d97b77 · outbound

This paper cites Training-free layout control with cross-attention guidance.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Training-free layout control with cross-attention guidance

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:54.629326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.414953Z digest=sha256:902c3c150d6926fdd8be7729e6264b0133220b86893864ec54e89de81bc6c77a

Observation bb12308a-1d61-482d-a749-87f6c1db5053 · outbound

This paper cites Zero- shot spatial layout conditioning for text-to-image diffusion models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Zero- shot spatial layout conditioning for text-to-image diffusion models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:54.486001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.533038Z digest=sha256:bbf6840642ab2565016f6369fa337d379b3663895c8c8c6be20e0430d00cf2cc

Observation 3524a5a9-7d50-48f3-838b-05cc82ebca69 · outbound

This paper cites Be yourself: Bounded attention for multi-subject text-to-image generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Be yourself: Bounded attention for multi-subject text-to-image generation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:54.345123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.617567Z digest=sha256:20f90e9548ffe1c7807031bf6da858478f2c9629fc9a3ecfc29c1e61799721f3

Observation ae2da873-ff73-42d9-85e4-873a3369bb00 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:54.217967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.686095Z digest=sha256:52911c2718aa32c1823437b8cbabcbc5ab884b41d596af6757b32fb7958363d8

Observation 9ab53847-8850-439d-936c-d7cef9d70aef · outbound

This paper cites Training-free structured diffusion guidance for composi- tional text-to-image synthesis.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Training-free structured diffusion guidance for composi- tional text-to-image synthesis

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:54.097333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.767766Z digest=sha256:87977b976983ea5cf2670f9db9f681459be2725cf75ec94e01a865f4014e3fae

Observation c8810c1a-9ad1-49db-9238-692404325b30 · outbound

This paper cites LayoutGPT: Compositional visual planning and generation with large language models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation LayoutGPT: Compositional visual planning and generation with large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:53.964857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.852740Z digest=sha256:47a887ff83e2efaa65ab8f80773b0870c61a8faad0ecf3b445e5bde69dfecd0f

Observation cfcf495c-18e3-4899-a27f-63be290a5669 · outbound

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

ComposeAnything: Composite Object Priors for Text-to-Image Generation Ranni: Taming text-to-image diffusion for accurate instruction following

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:53.834924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:38.921080Z digest=sha256:d38b4a7016cbd47b785a648d44d1162e34eacc714e2f3d84e0264a7e99430f4e

Observation 5b6ee1ba-681d-4c96-ae36-5af591acf226 · outbound

This paper cites LLM blueprint: Enabling text-to-image generation with complex and detailed prompts.

ComposeAnything: Composite Object Priors for Text-to-Image Generation LLM blueprint: Enabling text-to-image generation with complex and detailed prompts

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:53.693981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.040929Z digest=sha256:4e9ad9843ec74bf7e02a27ccbe1e709052321b44f3752c1e63ccf94f0b9e0779

Observation 8b04f8f2-ce58-445f-bafd-901fe0d963bb · outbound

This paper cites Check locate rectify: A training-free layout calibration system for text-to-image generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Check locate rectify: A training-free layout calibration system for text-to-image generation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:53.637076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.117436Z digest=sha256:73a964c4589b000720e4f1a671bc9934e5de13d650faa0cada58aa26824dcc2a

Observation 073ef09a-ef2b-4c7c-9ece-839bd938d4d4 · outbound

This paper cites Initno: Boosting text-to- image diffusion models via initial noise optimization.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Initno: Boosting text-to- image diffusion models via initial noise optimization

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:53.514090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.222820Z digest=sha256:df35d920d80676cdd429cff42a865bc375b0c5be265809315926804b0f213a3a

Observation feeb7962-c199-4ec0-9d31-ebb3c5dda594 · outbound

This paper cites Prompt-to- prompt image editing with cross-attention control.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Prompt-to- prompt image editing with cross-attention control

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:53.301968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.348295Z digest=sha256:d7f1ed3e5c267700aab86921cebcc938aacef60fa42dd5c4fd34a96753bdff01

Observation c0904039-b6e5-4394-8e7a-fcd9ec691359 · outbound

This paper cites Ella: Equip diffusion models with llm for enhanced semantic alignment.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Ella: Equip diffusion models with llm for enhanced semantic alignment

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:53.062615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.469217Z digest=sha256:e2fb141fedaa078effa74f40b04edba65a0750fa8692d1fb452e9ee6b6b8bd2b

Observation 1cb87800-740d-4912-890c-a33e8bd08eec · outbound

This paper cites Scenecraft: An LLM agent for synthesizing 3D scenes as blender code.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Scenecraft: An LLM agent for synthesizing 3D scenes as blender code

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:51.925212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.656385Z digest=sha256:411edf516c8723a7873461b03331913b6141055bd77db711addb43977ea86c9c

Observation aeeaf5e4-eb27-45cc-b376-493722bce878 · outbound

This paper cites T2I-compBench: A comprehensive benchmark for open-world compositional text-to-image generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation T2I-compBench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:51.414312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.797724Z digest=sha256:3d0ac415362f65f5bd72a37f2bc15665406907a9f556b5972662ae2e8e7715a9

Observation a55476c4-6ae5-4b06-9459-a1b86d00acf6 · outbound

This paper cites Composite diffusion: whole >= sparts.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Composite diffusion: whole >= sparts

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:51.269413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:39.928683Z digest=sha256:9106faabec9dfdc9c7c6314cafc1ba6499fff3cbe2ff6bcf5c3daed4fbb63ea0

Observation 4b10b3e0-3272-4f8d-a446-7fe0b630b896 · outbound

This paper cites Comat: Aligning text-to-image diffusion model with image-to-text concept matching.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Comat: Aligning text-to-image diffusion model with image-to-text concept matching

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:51.070049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.097222Z digest=sha256:8d872b1c2de7c68505705c12016be489c0fc66806d470aa810e2150cd400c2f6

Observation fd1a662e-6a5f-47b7-b041-03df0f8bfaa2 · outbound

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

ComposeAnything: Composite Object Priors for Text-to-Image Generation Dense text-to-image generation with attention modulation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:50.911265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.218722Z digest=sha256:27549db10a8b66c0648179841af7960704b4066b7bd8647e25d21c50b849c42a

Observation 0f4e2416-22ac-4bbc-857c-6dabb588e666 · outbound

This paper cites Evaluating and improving compositional text-to-visual generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Evaluating and improving compositional text-to-visual generation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:50.768601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.350719Z digest=sha256:f861f4e2b890d9a36b858b734eefdc017974ad2e9491743299171d43a6aa3cf8

Observation 5dd47991-9fb0-4f94-901b-4cd2cdb0476f · outbound

This paper cites Grounded language- image pre-training.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Grounded language- image pre-training

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:50.621728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.490585Z digest=sha256:11331262b237382c7417ea72078435640be0c1a6e0e06e48616eed1c4b717dd5

Observation eb1259b7-ee4c-4208-8e00-4c0ca3320c11 · outbound

This paper cites Con- trolnet ++: Improving conditional controls with efficient consistency feedback.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Con- trolnet ++: Improving conditional controls with efficient consistency feedback

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:50.472757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.596658Z digest=sha256:0503f1cdaf8cc1b9a08ad97fd976ce1d92fc7c3bcdacf45906249afb43a0894a

Observation ec9a4110-170b-4211-8556-9f4143272d4d · outbound

This paper cites MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion.

ComposeAnything: Composite Object Priors for Text-to-Image Generation MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:40.732637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:40.732637Z digest=sha256:e037d9ad6eb63815047a0fde4ecde80a8e3ec650428419c241af9ea3b31f1dcc

Observation 090d0a2d-d84e-49fc-b931-5fe882b57807 · outbound

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

ComposeAnything: Composite Object Priors for Text-to-Image Generation Gligen: Open-set grounded text-to-image generation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:50.323841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.812200Z digest=sha256:5ba1ded6d009ff72c68b0e98d9e2fc09d4312b896003163b66f71737eb251e51

Observation 91127520-46ee-4e50-8bae-810e866f3470 · outbound

This paper cites Divide & bind your attention for improved generative semantic nursing.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Divide & bind your attention for improved generative semantic nursing

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:50.166925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.891312Z digest=sha256:ac62e7186fd18708c79ff59bf336409d5a50242d2a2f800808386ace8483f463

Observation 4bcfab99-14c1-4f27-801b-f066b46fb840 · outbound

This paper cites LLM-grounded diffusion: Enhancing prompt understanding of text-to-image diffusion models with large language models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation LLM-grounded diffusion: Enhancing prompt understanding of text-to-image diffusion models with large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:49.971259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:40.984218Z digest=sha256:f4e4bb1188a11ac7e3bfc7c7553ac55d9b05b9f70f1f31c99a7cdc2ef9e45134

Observation b3124cde-9f18-4e14-9323-af69588c0bfe · outbound

This paper cites Ctrl-adapter: An efficient and versatile framework for adapting diverse controls to any diffusion model.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Ctrl-adapter: An efficient and versatile framework for adapting diverse controls to any diffusion model

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:49.762586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.081311Z digest=sha256:a84ccae6a1b0f078488c3f69036ee68b64151393c91ba6c54d919f531c68547d

Observation cda6dede-d791-452b-acd4-6a87897e5872 · outbound

This paper cites Flow Matching for Generative Modeling.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Flow Matching for Generative Modeling

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:41.167945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:41.167945Z digest=sha256:189d579363a9cd97994c7f9b366798bcc1c2fc1a9e6e664481d4368106d6aa2c

Observation 4ae7f091-c2e0-4375-98bd-22b4d38eb5f2 · outbound

This paper cites Tenenbaum.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Tenenbaum

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:49.608495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.213668Z digest=sha256:6613b4779cb1b9ca3c4682c3905ecce43554d180d216ffbfa4d0ebbb19f484b6

Observation 5d873c44-0a0c-418d-9be5-3de11d1abd74 · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:41.259858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:41.259858Z digest=sha256:a64ea49a37277ddb04e9bf432d32049b8c0ae52205be1fd26004987dd28f1dae

Observation 54ee920c-4c19-4870-a971-6ff7ecdd67ca · outbound

This paper cites Lewis, Thomas Leung, and W.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Lewis, Thomas Leung, and W

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:49.459542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.312373Z digest=sha256:2e68484400f60b9690f392f815a294b6e3152f962c4f598f769a9d2ff4e57585

Observation f2ea001d-33a2-41c3-9c70-cb7d0220e42c · outbound

This paper cites Guided image synthesis via initial image editing in diffusion model.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Guided image synthesis via initial image editing in diffusion model

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:49.245890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.418479Z digest=sha256:2b492c5c3e7d9d32b3b64347ac15cba1b8c257087c6ca7d1a012643ddfc5ddbd

Observation fc9cffb3-16eb-413f-abba-34326dd0e712 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

ComposeAnything: Composite Object Priors for Text-to-Image Generation SDEdit: Guided image synthesis and editing with stochastic differential equations

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:49.040833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.513574Z digest=sha256:08023dcb977663c0596aa08d6fb7330aa67fc9755ebce153c3128ceb7dd0ba83

Observation b520383a-2eca-4b8e-b914-2f4979d48d7f · outbound

This paper cites Conform: Contrast is all you need for high-fidelity text-to-image diffusion models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Conform: Contrast is all you need for high-fidelity text-to-image diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:48.825268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.602652Z digest=sha256:4f5a86ce26f1091f2286931e81ff11845885daf4275b349da1d7264a3bc3b813

Observation 4b2a59a2-0603-4c06-a242-5f2440224df4 · outbound

This paper cites T2i- adapter: learning adapters to dig out more controllable ability for text-to-image diffusion models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation T2i- adapter: learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:48.504919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.659963Z digest=sha256:be865d2922b40b881fdb9080647c158692839cbfb8c6487d5ebafec90d8d6c85

Observation 5346d8ee-738a-4304-a71a-7236b7ea0c2c · outbound

This paper cites Compositional text-to-image generation with dense blob representations.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Compositional text-to-image generation with dense blob representations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:48.228431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.749052Z digest=sha256:209b15c3e267005bfae639b6876ad506d3fdb669856dbf86bfae5ea9294b1d0a

Observation 5e26fe21-89d2-4974-a2a0-4082312db42d · outbound

This paper cites an unresolved cited work.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:40:47.957166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.802344Z digest=sha256:e878167a4acfeca03d89223c604b443bf18ef3e8106c2be23921ea41864c4cbd

Observation 7694aea0-5f20-4b06-8e30-35e8c34c01b1 · outbound

This paper cites Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:41.897086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:41.897086Z digest=sha256:71d54bbdfefa04393e97ff5c562d37781f43c1ad8b7aa34efefdf5e3df8ae3ef

Observation a3b029a5-a63a-4501-af56-afb9b898e22a · outbound

This paper cites Grounded text-to-image synthesis with attention refocusing.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Grounded text-to-image synthesis with attention refocusing

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:47.649704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:41.942719Z digest=sha256:c66c0c8c932fec46e948c1ed333c23c9ebfe6f143889c0e3dab2ff8b7a954b5f

Observation 9a0a080e-06e1-40fe-85dc-c1284452c161 · outbound

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

ComposeAnything: Composite Object Priors for Text-to-Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:42.047049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:42.047049Z digest=sha256:4b214d709656b1c9dc6e4ed12c53740be7d792e185963a8f738351903bb6a316

Observation d24b75a6-9660-4d02-b172-94c5b5c60009 · outbound

This paper cites Linguistic binding in diffusion models: Enhancing attribute correspondence through attention map alignment.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Linguistic binding in diffusion models: Enhancing attribute correspondence through attention map alignment

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:47.378735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.116848Z digest=sha256:3702a80eff4124251a4eb64f3bc113dfa62df5992331e27e920946d8a0f33410

Observation 15550932-8ce3-4d19-8d49-61e0c2fb4ff3 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation High-resolution image synthesis with latent diffusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:47.132162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.202578Z digest=sha256:843df0fb02f2340ae1cc3e73737e2faf496d56be4d70c0b28569a045e3769df1

Observation 1508fafa-7444-46c0-9dea-4efdedfc431f · outbound

This paper cites Denoising diffusion implicit models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Denoising diffusion implicit models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:42.277942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:42.277942Z digest=sha256:c2f6ce1695d83f257d55c6f5ad1c7bdda10ae5b55d0783cd76535abbe10f017a

Observation 48a49361-eed4-41aa-a44f-78257cbe5173 · outbound

This paper cites Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:42.368674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:42.368674Z digest=sha256:f302ea668697b49004dfccebe5ac2b79f658d617c3c9e2a1c5a676fa0a848f5a

Observation bbe460ca-581f-4b72-9e21-c97c5bcedc58 · outbound

This paper cites Plug-and-play diffusion features for text- driven image-to-image translation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Plug-and-play diffusion features for text- driven image-to-image translation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:46.871086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.426137Z digest=sha256:66776b302de9b5b023d0a4807798541929333716d7d8c6ba0f1366679fc8c405

Observation e5526c10-5e3a-49af-8f5f-0d868ad041e6 · outbound

This paper cites Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:46.660889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.498501Z digest=sha256:78e2709e079240b53a1b8bed651a6aa4e202c5b89ed563ccf5709f0e4d148a96

Observation f1437715-5091-4ac5-b53a-a5d2a255be9f · outbound

This paper cites Instancediffusion: Instance-level control for image generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Instancediffusion: Instance-level control for image generation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:46.512652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.580342Z digest=sha256:61098df992f8864ae4cfc01650a8952bcc8f915c158c8441d5863801ed0b0402

Observation 9bf73694-fcb1-473d-8d23-a2231c0c542d · outbound

This paper cites Tokencompose: Text-to-image diffusion with token-level supervision.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Tokencompose: Text-to-image diffusion with token-level supervision

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:46.345106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.656050Z digest=sha256:d2b999e0a6686e57d31ea997e77329eebb20b90925ab2796fa30634ce860236b

Observation 95bb1b3f-68c5-4e46-98de-8d2086cdb67a · outbound

This paper cites Hyperseg: Towards universal visual segmentation with large language model, 2024.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Hyperseg: Towards universal visual segmentation with large language model, 2024

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:46.169244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.745695Z digest=sha256:c7453a25623ea69ff1543f22bef3f709d1b3d70530e152af59047531f01d938c

Observation eff1c02e-1391-4259-8801-1602411f0ff4 · outbound

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

ComposeAnything: Composite Object Priors for Text-to-Image Generation Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:45.987633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.828176Z digest=sha256:928263b6ca88a7e6cc3a9479fabf5b51c4f4000b7dd41af7dae03ab177f6b637

Observation 374eb3bb-b39a-457a-8b90-59c588d812ac · outbound

This paper cites Mastering text- to-image diffusion: Recaptioning, planning, and generating with multimodal LLMs.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Mastering text- to-image diffusion: Recaptioning, planning, and generating with multimodal LLMs

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:45.814538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:42.913181Z digest=sha256:5cc67ba4c6e930a84b980b1c4993343a78af1947d17162b5524bfa4e1e3fd7c7

Observation bd3743a4-2b16-476d-9a03-5e1bfb2180dd · outbound

This paper cites Reco: Region-controlled text-to-image generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Reco: Region-controlled text-to-image generation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:45.624952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:43.008111Z digest=sha256:0a6aeacb7ce4e6c099e9946fadfa4ae3aa1f5d77e064500f75127745faaa2daf

Observation 089b1b99-3426-4303-bf25-1d647def6bff · outbound

This paper cites CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation.

ComposeAnything: Composite Object Priors for Text-to-Image Generation CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:43.078627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:43.078627Z digest=sha256:d6f45d527b76c614594b9e2ca3f98e9b5d72df0d68c19180c74c840b9a3e21c9

Observation 97c859d1-4ae9-4a4a-8d04-666c22f844dd · outbound

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

ComposeAnything: Composite Object Priors for Text-to-Image Generation Adding conditional control to text-to-image diffusion models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:43.180221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:43.180221Z digest=sha256:6664dd38f625be6b54471e3f7aa2a363d0f7ff8c02ab8995408ea5f0c4311066

Observation b2eeaa32-5763-4148-b041-41d873250f9b · outbound

This paper cites Realcompo: Balancing realism and compositionality improves text- to-image diffusion models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Realcompo: Balancing realism and compositionality improves text- to-image diffusion models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:45.411207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:43.320114Z digest=sha256:5a771d0a2a2b34b84b14c6a45d972089e144ddad27e8c57305a3b914068d3b6f

Observation d867baac-bc1d-4e27-a2d7-b86e219854ba · outbound

This paper cites Local Conditional Controlling for Text-to-Image Diffusion Models.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Local Conditional Controlling for Text-to-Image Diffusion Models

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:40:44.171990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:43.483636Z digest=sha256:e170a8812060ea7f6518c37fa14b20c006cd79e9d20f1a3e34ba3634983fa0d8

Observation e91162e9-cf7f-4726-a32a-aa1b5c773ab5 · outbound

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

ComposeAnything: Composite Object Priors for Text-to-Image Generation Layoutdiffusion: Controllable diffusion model for layout-to-image generation

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:45.189048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:43.635422Z digest=sha256:6082c75a5710b804d41de6c9fdd9816ea543c6e50a7a5b2707cfa6d590f47ebe

Observation a07c59b3-44df-40fe-8f52-4bb13522d67f · outbound

This paper cites = 3 𝑡!= 0.79 𝑁!.

ComposeAnything: Composite Object Priors for Text-to-Image Generation = 3 𝑡!= 0.79 𝑁!

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:44.990025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:43.782344Z digest=sha256:ae7df133d3a0b2eff75d85fdaeb59b262a4e9e57e2b6286833d75c964690e14a

Observation 679378dc-3b58-4263-8d02-6352eaf7678d · outbound

This paper cites Objects:.

ComposeAnything: Composite Object Priors for Text-to-Image Generation Objects:

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:40:44.794805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:40:43.911455Z digest=sha256:ba35280c099cbab7b6725de6526855eeecefc8cca80d8e11c37e6a738c3d2e1c

Pith citing papers

Observation 9d0ec3a6-6afb-46bf-b667-df7690f4e7f1 · inbound

ETPDesigner: Multi-Agent Orchestration for Interactive Multimodal Electronic Theater Program cites this paper.

ETPDesigner: Multi-Agent Orchestration for Interactive Multimodal Electronic Theater Program ComposeAnything: Composite Object Priors for Text-to-Image Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T11:16:15.417396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:16:15.417396Z digest=sha256:f71a35092be85a7b9fd7446bff69f811b2790cca1a558fa5e19a5e0af6051b03