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Paper Citation Record · LEDGER

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

As of 24 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 9 inbound Pith citation observations for arXiv:2501.13554.

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

pith.paper-citation-record.v1
2501.13554 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:53:51.323441Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:46:46.755933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:49:40.853023Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy14
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc6845f7-13fa-47c1-833c-8c34af16ca03 · outbound

This paper cites ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models

Reference 1

Resolution
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no resolver link, observed 2026-08-10T15:53:51.176731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.176731Z digest=sha256:a003f91ace68fff2c94a963f788b67c870cdfc6f1b564d68d3becf8ab36f752b

Observation 774f84a8-2dd6-4cc4-bfbc-9751485ca223 · outbound

This paper cites The Chosen One: Consistent Characters in Text-to-Image Diffusion Models.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.185569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.185569Z digest=sha256:65963e068a0da2d641b35bce5d300643b631096f5deed418640d2c4059f18aae

Observation 62845794-e79d-43b7-9299-2825ae08110f · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Reproducible scaling laws for contrastive language-image learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.881835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.194119Z digest=sha256:93ab1375195e20c7bbc4ba9b8b8018275074be78e843378a2f7b893bf7f7893b

Observation cfdab819-25e2-4db6-91fe-952ad50bdb00 · outbound

This paper cites Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, and Su Wang.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, and Su Wang

Reference 6

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T15:53:51.686028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.197985Z digest=sha256:8bc6d9966dab4785a386d43c58728c47801f672f3dba54375d34be91a19f48ba

Observation 322cb7eb-be7e-4086-9064-b4f68de41345 · outbound

This paper cites DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.201883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.201883Z digest=sha256:88ffabc22f0f356c3d0d382651c1d5bbc438057f45c1e80ae2996dc4d91daf8b

Observation efe65192-8c09-4e25-83df-02e20e086d17 · outbound

This paper cites Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.210081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.210081Z digest=sha256:e89732d84b32ca253fe3b724f65a37d5f41acdcb7350d4c827c1eb40fc49bdf1

Observation 7fc6894b-3c21-4283-bbe2-d1f6c0b2cf52 · outbound

This paper cites Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.214030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.214030Z digest=sha256:a6be827ffd6beeaa4ff0fe63d705cac55fbab1e716efa77096fbc167859924b4

Observation 7e19a3e2-b09a-48d1-9fc2-a021c6b72357 · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Clipscore: A reference-free evaluation metric for image captioning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.872265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.218453Z digest=sha256:d3e1a8c4f17c356cb97b625fc8448439cbfd9d2186b899b2c2615c3707116916

Observation 059333a3-d376-476d-90e3-99b011060588 · outbound

This paper cites Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.222171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.222171Z digest=sha256:9f3d7ca29f621dcc7cd496090e80905b754927172078dff4aeb5e794693190a3

Observation cdb36812-5f19-48fa-ad18-bea97a6f2362 · outbound

This paper cites Get what you want, not what you don’t: Image content suppression for text-to-image diffusion models.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Get what you want, not what you don’t: Image content suppression for text-to-image diffusion models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.862338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.225891Z digest=sha256:27882b32b08318ffd93eb6beb0213b49f34f104045bc02daa2cfc5f1b55377ea

Observation b8ba096e-6e7f-4b90-8542-7b6f17b551d9 · outbound

This paper cites Contextual Knowledge Pursuit for Faithful Visual Synthesis.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Contextual Knowledge Pursuit for Faithful Visual Synthesis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.233075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.233075Z digest=sha256:003a1a53666f7f0d4b88920b3d0b43fa0a89d4dc745cbd8406c63ac6dd23596e

Observation 8cad5956-31ef-4db3-97a9-c96186e46b8c · outbound

This paper cites Improving generation and evaluation of vi- sual stories via semantic consistency.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Improving generation and evaluation of vi- sual stories via semantic consistency

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.851669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.236409Z digest=sha256:82fe6fe9d316b6ab9bc9ab484e10aca3cafb39efc9e59e026925b659f4ec4e0e

Observation 1a80d23c-85cf-4a52-a098-e8179312d231 · outbound

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

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.239510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.239510Z digest=sha256:6ac68b3c2a40aadb0ea96ea03fb6af077d4c13f7404dd07a51f221cac87fe47d

Observation 361c453d-749f-488e-bb3f-67ed401ec487 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.242860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.242860Z digest=sha256:3daa3effe3fce79b05dec3d13a0b5512268e74ea74af174a61c924594bb3ac8f

Observation da41d3ce-90a0-4159-a932-be96dfcea1a3 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.841258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.246420Z digest=sha256:d20c278f5f95f72c012840d8caf7af399206f6dcc5a552622aede25e756e6690

Observation 1a2a8e1a-6dfc-4530-b405-bb5f6cff3f6d · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.249543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.249543Z digest=sha256:c6587d864c25c7dd9b18f4e2a0b36c31914939f5973aec602ccc82acb36e1edb

Observation 5f9d90cc-b744-493f-83b4-bb81bddbf676 · outbound

This paper cites InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.252934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.252934Z digest=sha256:975f837d4a8a0540aca7eda95520f7af742c2497b72c80552f9945f690930214

Observation 6bf6a840-afe4-4a59-97d3-37fb6d9cd267 · outbound

This paper cites StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.256174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.256174Z digest=sha256:048d01c4b73c0263871a22d1f65f3e71d3e65318f7c98b2b3a66e492aeac4bbf

Observation bfebf185-0118-439e-a94e-79f687a40a51 · outbound

This paper cites Training-Free Consistent Text-to-Image Generation.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Training-Free Consistent Text-to-Image Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.259500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.259500Z digest=sha256:40c4ead4816c352bce212b6775731f4a722232b99d9732d7278d44e4dbf1c0c2

Observation 446b7499-3aeb-4d20-a9ee-c5cede2c0e59 · outbound

This paper cites MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:53:51.477793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.267076Z digest=sha256:d45e3d10c5d9683221d60831d6a5f328525c306a99e4d88fae608c3f09c6ec7a

Observation 0944f42b-7558-4a0c-affc-f07ec2f9673d · outbound

This paper cites CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.270878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.270878Z digest=sha256:4f7f7067a948ee9d153845f9c4ace3cee21fe915198f7118a45ca0852e7559ea

Observation a0e16d60-5f0d-4563-b1fa-a0d19c91b1f6 · outbound

This paper cites SEED-Story: Multimodal Long Story Generation with Large Language Model.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt SEED-Story: Multimodal Long Story Generation with Large Language Model

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.274934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.274934Z digest=sha256:9e37710c41a6d21d7c2eace1d3d7eaf3f44b43fdd87a544d3f4db044a3d1c3e7

Observation 02b608d5-d45c-4f54-92db-9998115d9ae9 · outbound

This paper cites StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.278768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.278768Z digest=sha256:0e086507e67203a02b37a9863ea16728a7d61914c506a3ce60d19c0c515fd70c

Observation 62f77ced-b7d6-4faf-a975-00f68fddc8a2 · outbound

This paper cites an unresolved cited work.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:53:51.828947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.282763Z digest=sha256:400ef3a595ebcf49b57be0d31e117daca04332b2e1fb4d8593be9eddf5ac35f0

Observation fa214e74-5bbd-414b-80e7-e29343f6def1 · outbound

This paper cites an unresolved cited work.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:53:51.806425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.289898Z digest=sha256:323bcab9b5c25b6256161b238a7a11038c4dba0ed0afa9ad3b7fc91ee8e7fb57

Observation 31606e8c-772d-46b5-93e4-1f140d45aeaa · outbound

This paper cites All generated images based on SDXL are produced at a resolution of 1024 × 1024 using a Quadro RTX 3090 GPU with 24GB VRAM.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt All generated images based on SDXL are produced at a resolution of 1024 × 1024 using a Quadro RTX 3090 GPU with 24GB VRAM

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.796042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.293859Z digest=sha256:2f0859ff2a7b0c9d772cde806df9de61d592b23ddede2587c3e04837f7547525

Observation 5c9d997e-80d5-4ba4-9395-a9f21c4cf8ee · outbound

This paper cites • The official implementation of PhotoMaker (Li et al., 2023b) at https://github.com/ TencentARC/PhotoMaker.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt • The official implementation of PhotoMaker (Li et al., 2023b) at https://github.com/ TencentARC/PhotoMaker

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.785745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.298775Z digest=sha256:5575b2148dcfbb99eb64ebdb17190ef0fb3f819bf609b28d3fb7b28c33d2e2f0

Observation e629ec19-c21d-4926-b56c-bcc00892c1c3 · outbound

This paper cites a photo of a beautiful girl walking on the street.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt a photo of a beautiful girl walking on the street

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.775029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.302735Z digest=sha256:1e487dc094a02db3c28ce02c0bdbaa18d406205097ce69b88b157b844c8442da

Observation 1bae477a-d43b-4cf5-b031-7a0445939a17 · outbound

This paper cites Specifically, we kept the cEOT part of the text embedding unchanged during the SVR process and used this text embedding to generate images.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Specifically, we kept the cEOT part of the text embedding unchanged during the SVR process and used this text embedding to generate images

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.764726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.307270Z digest=sha256:107d70db156b9edd0856894b7c9049cc51c3b54fe320a7a3ad004471d85b18b9

Observation c2c758b9-a864-49f7-923e-61a71a4c7dfe · outbound

This paper cites By using different seeds, our method 1Prompt1Story can generate images with diverse backgrounds while maintaining a consistent identity.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt By using different seeds, our method 1Prompt1Story can generate images with diverse backgrounds while maintaining a consistent identity

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.752923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.311301Z digest=sha256:02579709cb187777e956f1bae513fa641ebb53ed5aaa7a8f61217bdccaa1656c

Observation 3ec1f21a-d65e-4aea-9fb2-4915e464c7c4 · outbound

This paper cites By defining multiple subjects in the identity prompt, our method generates images featuring multiple characters, each maintaining good identity consistency.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt By defining multiple subjects in the identity prompt, our method generates images featuring multiple characters, each maintaining good identity consistency

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.741387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.315302Z digest=sha256:ed227351e9c203b0d3543570a49b68e383af33a25f3c95466227b0ae12479abe

Observation f1cbaca9-08eb-44e4-b985-f92789cf204e · outbound

This paper cites an unresolved cited work.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Unresolved cited work

Reference 38

Resolution
verified exact
raw_fallback, observed 2026-08-10T15:53:51.424373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.319559Z digest=sha256:7322f4865d5c154914aa0c851929da8862f9ea968f1c10284e58ffc4527f7ce5

Observation ee085a30-49fb-4f2e-9fc2-eb337b83f5f7 · outbound

This paper cites sliding window.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt sliding window

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.728874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.323441Z digest=sha256:161bd8436b2e2d638d24533916aaa38baff4052de912e11b1f4386a76f803c2d

Observation 3abae216-a666-4222-aa09-61a486479c4f · outbound

This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.262950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.262950Z digest=sha256:f01b881f8c444fc1b612fdb33c2d85c913ea250010867648d06427079615fa4a

Observation f0094f7c-6ef1-456d-977a-f58c9f1c4436 · outbound

This paper cites PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.229741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.229741Z digest=sha256:91e16c5dc85cb2ad9eb7735b5f3f88b9a03911e07c6d6fd06ba4671698ef939f

Observation f64a7736-b697-4800-a38b-c7e9363e4e34 · outbound

This paper cites We separately update the text embeddings produced by each encoder.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt We separately update the text embeddings produced by each encoder

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.817590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.286338Z digest=sha256:a33648e79d8def524243bac17d42eff2ba0a4235a3926db71f10703f211f6caa

Observation 19e9b0cf-c3da-4cfc-be31-e70b9e6e208e · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.205906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.205906Z digest=sha256:62ba842b65f4d0b3f6dfa5f96817fcd55c15fb9b1b7339cfc474d8d9bbb179bb

Observation 8723eb07-4343-4d08-995e-03afdc83cc98 · outbound

This paper cites AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T15:53:51.189938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:53:51.189938Z digest=sha256:d7ccc45a6681a2820c149760a786106302f29741e5bf31bd3cce961997a2bdf9

Observation 0be53bb5-1be4-4466-a220-d9de6c7099c8 · outbound

This paper cites Cross- image attention for zero-shot appearance transfer.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Cross- image attention for zero-shot appearance transfer

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:53:51.891430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:53:51.181415Z digest=sha256:02a7c39b5e232f56aad104d8d44acd2c926ebddbe8439ce67699b1150b99c8dd

Pith citing papers

Observation bbae49f9-15e9-443d-b8a4-0257c2492d3d · inbound

CineVerse: Consistent Keyframe Synthesis for Cinematic Scene Composition cites this paper.

CineVerse: Consistent Keyframe Synthesis for Cinematic Scene Composition One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:46.755933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:46.755933Z digest=sha256:6736dfaf4c8b9937e18668a574c8eead850c1c7b2ef0a0e9ec0efa211a0416ef

Observation 53292a19-4b2d-452c-80c1-39526f29f735 · inbound

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives cites this paper.

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T22:01:25.362119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:25.362119Z digest=sha256:dcd789bee4d846d4f25e77aadc4c0f03682e76798bb7f7711c7b7d52caea08c7

Observation 8117006b-a785-4314-aaad-6afbf6662d91 · inbound

Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models cites this paper.

Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T18:47:32.977965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:47:32.977965Z digest=sha256:bb4a9f2cf076887176bd07cb41b0e586eb32889dc3e6e630be0e13544f8ec611

Observation f27955d2-1ff9-4e2d-a38a-b1021b68719d · inbound

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization cites this paper.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T10:47:00.650209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:47:00.650209Z digest=sha256:1a4f1fd45c240537046fdc3294cd0a869b700db371b463aee77682cf79e3a807

Observation 632e8394-615c-4654-8946-f2a8f181d5d1 · inbound

Numerical Study of Oblique Detonation Initiation Assisted by Local Energy Deposition cites this paper.

Numerical Study of Oblique Detonation Initiation Assisted by Local Energy Deposition One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T17:32:40.000328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:32:40.000328Z digest=sha256:a9ffc1ad355fae6dc7b58117b8c836e17a2f58be05331ee8a8f07e3ed5dc938c

Observation d89d4ae6-a570-468e-8ae1-a854c0d2cf37 · inbound

Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation cites this paper.

Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T17:33:24.242171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:33:24.242171Z digest=sha256:16392a4e25bb3edddf9199606201500eca0fb306ba52c867f6ce49257d701ceb

Observation 48ed00b0-51ee-4e4c-b896-f05bc8aee780 · inbound

RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation cites this paper.

RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.743033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T06:24:23.155286Z digest=sha256:77647f810631b6b45233c6f90126eda2bcfd7c465c451a3070252d752a8b21de

Observation d6ed79e4-23c9-4958-959c-4195115b0b7d · inbound

AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models cites this paper.

AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:49:40.854764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T05:47:49.309008Z digest=sha256:f76c68af13654598830464fae5d0ac1af9f8115be7d58cfa391912ace9e83e9f

Observation 5a9593e9-ba8f-41e8-abc9-01188dcd9923 · inbound

Order Matters: LVLMs as Judges for Temporal Reasoning in Image Sequences cites this paper.

Order Matters: LVLMs as Judges for Temporal Reasoning in Image Sequences One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T14:37:30.027425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:37:30.027425Z digest=sha256:2ecd7d8f866befcab2cb6f11ca11f1737243116164d4b5b25818a74555eb670b