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Paper Citation Record · LEDGER

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2212.05032.

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

pith.paper-citation-record.v1
2212.05032 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:50:24.501854Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:51.397457Z

Reference resolution

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Outbound references

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Pith citing papers

Observation 12b77970-2e47-4e10-8810-1350c663fd79 · inbound

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

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 9

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arxiv_id, observed 2026-05-16T22:47:50.430263Z

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.

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Observation 03d7455a-2e79-435a-a75f-e7352e86d6e4 · inbound

Aligning Text-to-Image Models using Human Feedback cites this paper.

Aligning Text-to-Image Models using Human Feedback Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 4

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arxiv_id, observed 2026-05-14T20:39:15.444332Z

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

source=pdf_text observed=2026-05-14T20:39:15.388881Z digest=sha256:108964b6facfce0d47279ca1c9df97a9aeb5b601a7c4cc72e1d1f1ceaec9b5cc

Observation f64a06d5-6647-456a-8712-649871df1292 · inbound

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

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 8

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arxiv_id, observed 2026-05-10T15:22:03.643258Z

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

source=pdf_text observed=2026-05-10T15:22:03.530707Z digest=sha256:ae4b2a02843b8927e00064d3c9badf2868bd1636a3bfeb33bc19a5d879d62663

Observation 08251f48-e2f4-4cd0-b116-da77f07a7353 · inbound

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment cites this paper.

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 19

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arxiv_id, observed 2026-05-11T19:43:03.508187Z

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=2026-05-11T19:43:03.310237Z digest=sha256:7e649a81b94e461f1af1ebd3684993c40f5cd77065267c64078b222355960812

Observation f8c9b250-409e-4f77-baa8-6591071904bf · inbound

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? cites this paper.

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 2021

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no resolver link, observed 2026-08-08T21:50:24.501854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:50:24.501854Z digest=sha256:dd5e275a3a20562ff2a21c713ce2c570ae5b34e7a47137bf389745d6d74ecce2

Observation 2c3b8f5f-f591-4ed8-b67e-98338517af75 · inbound

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution cites this paper.

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 13

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no resolver link, observed 2026-08-08T18:13:21.090251Z

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source=pdf_text observed=2026-08-08T18:13:21.090251Z digest=sha256:0f7b7ee3cd06df443d91340e2eca237bff67fab8f37349e62ea332fedfd2ef5f

Observation 4fcc6343-5cbe-4d4d-a45e-68ea7c3543f2 · inbound

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning cites this paper.

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 10

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arxiv_id, observed 2026-05-19T13:22:19.224983Z

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

source=pdf_text observed=2026-05-19T13:19:20.215467Z digest=sha256:0095f7e77899f60bfca3ff7dde6f7c78a631a3b0ad70e7c126fc1dae4515ead7

Observation 79a09370-420d-4963-980c-b96913185d79 · inbound

Compositional Scene Understanding through Inverse Generative Modeling cites this paper.

Compositional Scene Understanding through Inverse Generative Modeling Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 21

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source=arxiv_source observed=2026-08-07T13:31:05.077080Z digest=sha256:2db4d4260514918a8d5e2a83bbd11d24c7a0564d43e8a2b9ab864f4b05d4c01c

Observation c05877b1-550a-4e8b-b27c-de10ba4401f1 · inbound

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards cites this paper.

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 12

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no resolver link, observed 2026-08-07T05:30:26.985271Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:30:26.985271Z digest=sha256:8a5166315b348003deb3cc5c72e04dec543162367be6c91c20c5cc3731c5c350

Observation ec9d9ce4-a2f7-453e-9788-e540916e9461 · inbound

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation cites this paper.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 20

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no resolver link, observed 2026-08-07T05:25:44.086087Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.086087Z digest=sha256:78ee3e6dc8fa34272f5203d064dd49cba194408dca7006b7f9c329667e312500

Observation 254b1dfa-35f1-42af-af37-2c3e8e2818c2 · inbound

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection cites this paper.

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:13:22.102907Z digest=sha256:beec966aa956c5ef3fb41e320314aa386b87770854a0cedec2d871804c92bd65

Observation 910a207f-826a-4990-90d8-f8bffb49c91d · inbound

Evaluating Attribute Confusion in Fashion Text-to-Image Generation cites this paper.

Evaluating Attribute Confusion in Fashion Text-to-Image Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 7

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no resolver link, observed 2026-08-06T18:55:23.823563Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:55:23.823563Z digest=sha256:9e007d3f09f8890aa5b0c7c93cd9710fc6c1b083e0a3b255c2d9b1ca94744d78

Observation 5bf26e0c-da6a-4b97-b6fc-59d294063c49 · inbound

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models cites this paper.

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 14

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no resolver link, observed 2026-08-06T14:45:53.226664Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:53.226664Z digest=sha256:a69343b2922d035fde7a0c3f1120f9da587c4c17158c517f94534ab3c3c83f4a

Observation 63e829e3-2992-4464-ab35-766b68529948 · inbound

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy cites this paper.

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 13

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no resolver link, observed 2026-08-05T18:37:18.483602Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:37:18.483602Z digest=sha256:35d5adf2b179b074c22cd75f419c3e35fc241aebb35220432565897dca1d3d5b

Observation 0f6fadec-312e-44c2-b44d-623bec1bce2f · inbound

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark cites this paper.

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 19

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no resolver link, observed 2026-08-04T18:48:03.650851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:48:03.650851Z digest=sha256:f814a166f9bb33b0a697e316298f8e3cee21e9affa45fac558d97927bc921443

Observation 65d00cb5-e0c5-48f8-8a42-d7790a24b1e8 · inbound

CARINOX: Inference-time Scaling with Category-Aware Reward-based Initial Noise Optimization and Exploration cites this paper.

CARINOX: Inference-time Scaling with Category-Aware Reward-based Initial Noise Optimization and Exploration Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-18T15:26:33.623984Z

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.

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Observation fccdcaf9-d61a-4c48-9fdb-cd71446bcd66 · inbound

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling cites this paper.

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 50

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arxiv_id, observed 2026-05-18T05:15:54.449073Z

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

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Observation 29bd5041-5fe9-428f-8ea7-eef7d831e913 · inbound

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation cites this paper.

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 4

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arxiv_id, observed 2026-05-10T23:15:47.688792Z

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=2026-05-10T19:16:51.134397Z digest=sha256:19d113a2c8cccbfa56dba420e03f93424043cf96e41c5a757fadb10bfb101ab3

Observation ee364f6f-b42c-4b45-a243-30a18657619f · inbound

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation cites this paper.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 9

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arxiv_id, observed 2026-05-11T19:01:10.626417Z

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.

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Observation 5bb50145-cb64-4d02-a65e-017ff25f18d9 · inbound

LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling cites this paper.

LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 8

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arxiv_id, observed 2026-05-11T01:45:51.123178Z

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

source=pdf_text observed=2026-05-11T01:43:15.520788Z digest=sha256:f6bbe4d8169e7743fdab31fb1a3aa37a21a0df70f135bd1b9c1ef6963f7dc73d

Observation 8cc69159-6958-435c-8f6c-388ec1df9ca1 · inbound

Attention Sinks in Diffusion Transformers: A Causal Analysis cites this paper.

Attention Sinks in Diffusion Transformers: A Causal Analysis Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 3

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verified exact
arxiv_id, observed 2026-05-12T06:26:24.090203Z

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=2026-05-12T04:18:26.883899Z digest=sha256:e1c83019793ef1d14cc7cd32783023c48c4271f9eabd77d2b74fc30d761b991e

Observation c3f8729d-82b8-4f29-a105-a87cb7167e34 · inbound

Attention Sinks in Diffusion Transformers: A Causal Analysis cites this paper.

Attention Sinks in Diffusion Transformers: A Causal Analysis Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 3

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verified exact
arxiv_id, observed 2026-05-13T06:02:23.306839Z

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=2026-05-13T05:59:16.233848Z digest=sha256:3e9cc7d13699ce634eee80cda733ef615243af55a785c32c67c219aabebec886

Observation 47b60213-96fa-4d80-ab69-5dfafd005419 · inbound

Attention Sinks in Diffusion Transformers: A Causal Analysis cites this paper.

Attention Sinks in Diffusion Transformers: A Causal Analysis Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 3

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verified exact
arxiv_id, observed 2026-07-01T13:45:46.114494Z

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=2026-06-30T22:47:11.360530Z digest=sha256:0ea2e07c5074ac86f1827bed453ba955c3e1533f772faaeacc1650dc854e4531

Observation d648d496-52c2-45c1-ab5a-33079e3428c2 · inbound

Compositional Video Generation via Inference-Time Guidance cites this paper.

Compositional Video Generation via Inference-Time Guidance Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 10

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arxiv_id, observed 2026-06-30T21:35:04.306183Z

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=2026-06-30T21:33:27.227307Z digest=sha256:2c7f00e19693de024f2560376b87d538e87ef822f7d1e51e117a601427f1dd18

Observation 720ae636-c248-4476-93c7-f3337a2457d0 · inbound

CPC-VAR:Continual Personalized and Compositional Generation in Visual Autoregressive Models cites this paper.

CPC-VAR:Continual Personalized and Compositional Generation in Visual Autoregressive Models Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 9

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arxiv_id, observed 2026-05-20T07:03:06.228228Z

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=2026-05-20T07:01:01.427273Z digest=sha256:5d7e947abc88b5633424b9cbc5f8b1e1ead09f1aea1053b7ca55abe19ae34708

Observation 782b6b6a-8fde-47f8-8e3b-18af6c844fca · inbound

StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation cites this paper.

StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 19

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arxiv_id, observed 2026-05-21T04:53:57.664463Z

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=2026-05-21T04:53:55.386923Z digest=sha256:9fe823141d6619c4f7d23901721f60f2113e78ae8d7610617a6be1f44dc1b36a

Observation 304ea553-bb51-4421-b1b6-5591912f833b · inbound

StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation cites this paper.

StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 19

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arxiv_id, observed 2026-07-01T07:55:30.883532Z

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=2026-07-01T07:49:06.391436Z digest=sha256:6116607e06e237036df39a9e2e3d3029b3c874103fcdb22a52d5f937b8d4e701

Observation b2d2d9a4-d7f0-41bd-9b4d-34c4207bfcc6 · inbound

Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes cites this paper.

Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 34

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arxiv_id, observed 2026-05-25T05:10:22.311115Z

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=arxiv_source observed=2026-05-25T05:07:14.227821Z digest=sha256:09a221a9987ad0bab0e7a789104611912d2c15906d6530ab0ed0342903cb53fa

Observation 5760107d-dd91-4e26-b3ac-12b0b44a9b92 · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 248

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arxiv_id, observed 2026-06-29T16:23:39.138875Z

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=arxiv_source observed=2026-06-29T16:23:08.402194Z digest=sha256:2c0dfe0b5ff6d19723756259aedfd6f4a707f2db7e26eeba6c9ebb36bd5dded1

Observation 105303c1-30a3-4a3c-a992-5fe208e33fcb · inbound

STEDiff: Strengthening Text Embedding for Text-to-Image Alignment in Diffusion Model cites this paper.

STEDiff: Strengthening Text Embedding for Text-to-Image Alignment in Diffusion Model Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 49

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arxiv_id, observed 2026-07-03T04:37:36.511852Z

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=2026-06-27T13:50:32.005383Z digest=sha256:3c1d92488333d4ccbcd13665f742b5fcf5ccac35e4968fda19aa1f1bfdd0aa22

Observation f69efa5a-cb66-4c16-b4a6-3b3890fddd85 · inbound

DanceOPD: On-Policy Generative Field Distillation cites this paper.

DanceOPD: On-Policy Generative Field Distillation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 25

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arxiv_id, observed 2026-07-04T13:49:51.398979Z

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=2026-06-26T04:55:42.018348Z digest=sha256:0e50d23b81226c0ed58e0b08392675120b0deb0c5fb7d01ee27d01fb0a298103

Observation d94b44ea-a8d8-4d31-b04b-70f4329ba23d · inbound

DanceOPD: On-Policy Generative Field Distillation cites this paper.

DanceOPD: On-Policy Generative Field Distillation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 25

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no resolver link, observed 2026-07-12T11:44:54.717393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:44:54.717393Z digest=sha256:1a4d0b3e59e73440d13980ed2dc6fce6589d312cf33a0cc383cece95629cc495

Observation afde7bb3-2214-4971-ae5b-b145f454a45c · inbound

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

Transferability Between Understanding and Generation in Unified Multimodal Models Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 30

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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=sha256:924053a2d05ffd3ef10e0856b8c1cd3679e854a2b4c6bb555b90ae815aa12af9

Observation 339b0c4a-a215-44da-a5ab-bdcf8ee4323e · inbound

TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward cites this paper.

TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 7

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source=arxiv_source observed=2026-08-02T13:55:30.481624Z digest=sha256:e503254c6663ad53a21a7ef5af0f09ba192ebbf6eb2988d95e1d83d3b1da7052

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TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models cites this paper.

TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 26

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source=arxiv_source observed=2026-07-30T23:29:03.384400Z digest=sha256:19152b3ba5d4ce61123c2a00248d4e43e1887a04e103512db49f921d919ce394