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Paper Citation Record · LEDGER

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering

As of 4 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 2 inbound Pith citation observations for arXiv:2509.04123.

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

pith.paper-citation-record.v1
2509.04123 v2

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T19:02:01.962726Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T06:38:44.675844Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T06:40:25.543897Z

Reference resolution

100 of 104 outbound references displayed

  • verified exact22
  • verified fuzzy65
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f0ea57e-1773-4ffe-8445-bdff9b995145 · outbound

This paper cites https://www.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering https://www

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.304073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:83b6847ad33dea5f1362e307df0283d2bbd2981b4892b40571af37ddaa04001c

Observation 608510ba-e213-4f7c-9c93-0d02022cf6ca · outbound

This paper cites https : / / huggingface.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering https : / / huggingface

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.279334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:07700afd180d76dd03bbc661a186ab8bd01de4ae944f3ea896613d9c764b880a

Observation 4e5a2761-c142-40dd-b163-ae321c723d25 · outbound

This paper cites https://huggingface.co/Xenova/gpt- 3.5- turbo.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering https://huggingface.co/Xenova/gpt- 3.5- turbo

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.117702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:23e529a53a3e1538a09a206cc003dfb4bccc8fa8401afc6eb749d21dfc88be29

Observation 17d64adc-11bc-47a2-9545-ee65303f77aa · outbound

This paper cites GPT-4 Technical Report.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering GPT-4 Technical Report

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:02:48.753093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:4809f8588421be084bc2ec79d895fd9a655af310d335ad91e374857c747d78d8

Observation 5b7ead2e-1a60-4f84-ae2b-be799d98ad56 · outbound

This paper cites Spice: Semantic propositional image cap- tion evaluation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Spice: Semantic propositional image cap- tion evaluation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.246983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:992732713391623aa8df7912e31d7ed342f863f60aa9b932840e5e8914d808ef

Observation a829eeac-6a93-4fb7-9f7d-9ac85353f2b6 · outbound

This paper cites The chosen one: Consistent characters in text- to-image diffusion models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering The chosen one: Consistent characters in text- to-image diffusion models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.165093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:897f67b46090e5c302c50002aae42ea7581d9850fbfd00df619d19c68aafabc1

Observation e9a6ffb9-f2e6-41c6-ab15-c514ad0c04e3 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.146405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:fd471e2f0da87b9da561222591a1458f35836ad57c0a2c4074192c7e8a412219

Observation 95cf16f4-14e3-46fc-9068-df6182549b36 · outbound

This paper cites SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.748941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:4d7bbc9931d14090a7796bb4eda70189080da6577052865ab47f25daad21f79c

Observation 13ab067b-4d09-4e09-a076-551b1cdd7c5f · outbound

This paper cites Auto- matic stylistic manga layout.ACM Transactions on Graphics (TOG), 31(6):1–10.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Auto- matic stylistic manga layout.ACM Transactions on Graphics (TOG), 31(6):1–10

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.155278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:bd6f8af2b80ecc4d4d0a90b0bfb865add27170e1ee773ab2eff8b115cefd1cad

Observation f9f1c3ed-ef0f-41b9-bad5-3f98a942d90d · outbound

This paper cites Claude2-alpaca: Instruction tuning datasets distilled from claude.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Claude2-alpaca: Instruction tuning datasets distilled from claude

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.149309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:50749e0b9bd767a66ad5738024e727b855f67dfaed1d1b82543bd15fa0ecadd8

Observation 407e04eb-6fea-47ad-95af-8fb71495ad1f · outbound

This paper cites Manga Generation via Layout-controllable Diffusion.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Manga Generation via Layout-controllable Diffusion

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.676147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:e0736ede7104cb5dd1703d54ee21b4e0aa7eb9387b385fca77315e12c558e722

Observation d90c0d8c-33b8-4061-80c3-093a0065f1b5 · outbound

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

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T19:02:48.744172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:f3f1a76523e04c94d43ebd19d10bbfd6edadf662ca739ac5cbe7bfd47e2838b7

Observation 5118320b-09a2-458d-b4da-8a3a384deb8e · outbound

This paper cites TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.716780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:073212035506306f18ce91e20bd8455f31033c7f7d6fd8271719eb48996e2bda

Observation a29e41f2-d249-4f66-b5ba-8f6e858a9be9 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.241023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:2a498aaecde5ac8499c01caa2273953a95bb60772ab5afc294bc64f5e87ebc3f

Observation 676c865f-97fa-481f-8468-68b5219caa5e · outbound

This paper cites Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.734862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:8d5a1cb942b254f2f0296a0090904a75859645e83b18dfd5de92b952a3f4e151

Observation 0773138b-c8d7-49df-82c5-0846e31d0c7e · outbound

This paper cites A survey on in-context learning.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering A survey on in-context learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.158814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:726c328cc9ccf2c322f8aba2dfd0cbe6543e8c73005bd0cd9bafc7434459c7fe

Observation 565367ef-1e61-4241-b782-d0923592dbd1 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:02:48.721343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:23839180ad6e7d577da6ea173f089e67fec41e37f908dcd1e0ef92dd34b9ef3d

Observation 27c3ea56-c8f8-45da-992d-cbaf5a3fb677 · outbound

This paper cites Controlling perceptual fac- tors in neural style transfer.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Controlling perceptual fac- tors in neural style transfer

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.244086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:a7b3a615d6d0c0ea2478dae68934f39493c56d4b6cef1373f96f7a0e0334da9a

Observation 65f11e46-5228-4346-8015-7643560f98d4 · outbound

This paper cites TokenFlow: Consistent Diffusion Features for Consistent Video Editing.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:02:48.655981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:64d1a39c73475ea40ee8c1c4959c751d79a369b20bfcb77a9adeb43578c97c6f

Observation 9169f292-7ccb-4cc7-ae50-27f79b6af085 · outbound

This paper cites Interactive story visualization with multiple characters.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Interactive story visualization with multiple characters

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.253353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:ce7f4d69a98f2831018e51a2b4a684f32e55cdf1b714a268050718baf6ec81bd

Observation 28d667a4-ff74-4d39-8a8d-2c76d9063687 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.198230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:5d86202d48235d97c5a582a79fd4b815b626a75b69af465b0fcf280eb3f0ce19

Observation 623784df-673a-4f01-81ad-c02ddf841db8 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.107184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:5f65057f2d6199ff90aff5914f25b0e6d1342f66eb1b30d4b6606c266a044501

Observation db1cd458-24a5-41f6-a953-b6d237ea7d89 · outbound

This paper cites Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.090688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:27b2888fa7c51887de9d90cbb5c515bc73b07968525d84ec45c44e3cacbfe238

Observation b815e4bf-9a50-40cd-8dd0-8712e4f8a3a5 · outbound

This paper cites ebdtheque: a representative database of comics.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering ebdtheque: a representative database of comics

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.256211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:9cd11c1d7643143d0b7acd25550c731ad66d1ae4a4d318269c44cb08d7dcbd14

Observation 93f206df-d3f5-490b-bc22-716968ad1351 · outbound

This paper cites Imagine this! scripts to composi- tions to videos.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Imagine this! scripts to composi- tions to videos

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.137027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:68477ba5e0d8dba37452a739ee5d95a3149a905c5113424e0aab3bfbb339b545

Observation 98347332-2d25-42bb-9d95-e3e1d943bf3f · outbound

This paper cites Textdescriptives: A python package for calculating a large variety of metrics from text.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Textdescriptives: A python package for calculating a large variety of metrics from text

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.237236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:c305da7cb816b1c3eccfaa0ec10c80b073d45de9c8b31ceeb579ed2497906cbb

Observation e2f81323-d273-46c3-8e60-651f0e556f76 · outbound

This paper cites Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.671374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:80add9eea4d677e122c7935ec42c52c313881011df10d89e3e7e98e442e2dba8

Observation fe0d8d7f-6ed1-4328-bf05-0008fa5e3559 · outbound

This paper cites DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.725839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:df8161651e4bcc0fd68aa59087875321a825b497a8e40aabea1b9219d39aab44

Observation 3c6783f1-a1d4-4f5e-ad75-90e907cd98de · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.114577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:5ade6e63e08e4dfa6eb934e2942ba7dbabb747f05db3e488e6c0cd5f6c8e2d22

Observation 385ca3ec-dbe1-489f-a213-39216e6f75fd · outbound

This paper cites Inferring semantic layout for hierarchical text- to-image synthesis.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Inferring semantic layout for hierarchical text- to-image synthesis

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.125327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:3cc8357e5bcda162af48c849c119db947674033b70966eb4817af442b3251ca7

Observation 9d51692b-1695-4c42-b278-12114c958bc4 · outbound

This paper cites Image quality metrics: Psnr vs.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Image quality metrics: Psnr vs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.250078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:3fc1a2298e119554fd9dff75626a4dd652501308b52318611be8ec9e8cd3fb7f

Observation 56ceda09-4087-483b-a6e5-08f37d066228 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.233994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:e417c3e88a7820a84b0cc5c226bbc8fa05c4ab3e76b5bd21e15a1cc8f218cb27

Observation 286916cb-e434-4216-bbcb-ce06e9706f40 · outbound

This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Animate anyone: Consistent and controllable image- to-video synthesis for character animation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.120456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:0fee561343e1877150586c9dd2f8d80ae768b77e37ba42623c1675957cefb91b

Observation 4b48f243-5726-4c6a-ab94-a329fc11e951 · outbound

This paper cites Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.661296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:d7902391190b892eac6c675f838798102b99fc03b4de4df4934f8c1225c2be8c

Observation 355c0206-d68f-4b9e-a9c3-c90ed2f39140 · outbound

This paper cites Content-aware video2comics with manga-style layout.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Content-aware video2comics with manga-style layout

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.214272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:5181743417e6cbf2887cd974ead0d9c9e7bf3d08c654eb2b4cb09ff3668acf55

Observation 84c5c1ab-2e30-4479-9953-ff9caf430ab2 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.161779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:b05c7161a4b69e734312be52582451cd28eb7545838c4b45dfc7011b9888a78c

Observation a9261178-9b4f-487d-a60c-299cdb50dca2 · outbound

This paper cites Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.082087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:17ac1165538387e277a6287c60d8d1847f7f67e289f7b26dd3ec8558017ac002

Observation 734ba2e2-1ac9-4c21-8bf8-830de6bbeb06 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Blip: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.142923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:fd20c1a5d960fc9fdb49f54d37476b3971392c3047e05473b7b2062cc7d23809

Observation dd7d5bf3-4516-49f8-9d53-7ef3de129904 · outbound

This paper cites Unbounded: A Generative Infinite Game of Character Life Simulation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unbounded: A Generative Infinite Game of Character Life Simulation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.680804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:f5dd0cf24ecfd6e30294d6cc50dfa9ee738308d49d21fea534aca0f39397c1c0

Observation f5ea37e7-150a-4626-9985-1996fbd4dd5f · outbound

This paper cites Storygan: A sequential conditional gan for story vi- sualization.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Storygan: A sequential conditional gan for story vi- sualization

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.107712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:0367c149f7a50449dc6d6ddd558d535602094be731d4ca5b5bc1db594ffdacc5

Observation bb0c0be4-e6f6-4a81-85db-e59fa4e591ad · outbound

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

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Gligen: Open-set grounded text-to-image generation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.226667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:16419dd617e981590bd9e0cec2c8cf77db5f465a23c7aef29d8a387f96dbd4f2

Observation 9897211d-5321-414a-9873-10305dac1bdf · outbound

This paper cites Photomaker: Customizing re- alistic human photos via stacked id embedding.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Photomaker: Customizing re- alistic human photos via stacked id embedding

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.136335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:8bd7a84c5936d12789f78fff7c2e5ceb1867b6b3599038a01ee9a2b2f69b9f39

Observation e3a42ccf-5f7f-499b-868c-31d4c4ef43d8 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Rouge: A package for automatic evaluation of summaries

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.112087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:a5c266ddfddb2ae1624e4949b20cb65787e02f89470ec439d7c64634b002def8

Observation 3f52dce7-7b62-44b5-bf61-2d4b8f74ccb5 · outbound

This paper cites Evaluating text-to-visual generation with image-to-text gen- eration.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Evaluating text-to-visual generation with image-to-text gen- eration

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.096801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:c72cf6dbfc470db425a1e1180c4c7ca18fc4c99618cea25563db5e3326201a48

Observation c4ae4e42-6035-4a27-8e3d-81dfb478a73a · outbound

This paper cites Intelligent grimm-open-ended visual storytelling via latent diffusion models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Intelligent grimm-open-ended visual storytelling via latent diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.088208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:1916d3ca3b3952a53199f1546b6d8168eaff46bfd70f748911e1f45426732467

Observation 79ef0ac0-d564-4095-8203-e784423d51e3 · outbound

This paper cites Improved baselines with visual instruction tuning.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Improved baselines with visual instruction tuning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.262579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:065b19a3b0e8c53ba6a171a376eaf0d217bb51779c66881d59bf57d673284f45

Observation 077ae2f9-cb1f-4559-b4d4-9e6585a62523 · outbound

This paper cites One-prompt-one-story: Free-lunch consistent text-to-image generation using a single prompt.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering One-prompt-one-story: Free-lunch consistent text-to-image generation using a single prompt

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.076564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:847ce687e55ad60c0b3b7b8994ae1a9cea7c89ed0470a8ddd49ba8736fa6a689

Observation c7673dfb-3c39-4c06-8a56-0576eb0a6d2b · outbound

This paper cites Image segmenta- tion using text and image prompts.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Image segmenta- tion using text and image prompts

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.127852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:1d09364815248747ebde8c78edc462467168d4195da1654b76a1d2e4502fd89f

Observation 7e605968-c4ff-4979-9093-146457ee8ebd · outbound

This paper cites Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.690494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:f6a1113caf3abce08d9668d66cf419bfd610541ef3875b26a54078b9d0b2e18e

Observation 769e7d1c-29b1-4263-95ba-f7ef3a2bdcd4 · outbound

This paper cites Storydall-e: Adapting pretrained text-to-image transformers for story continuation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Storydall-e: Adapting pretrained text-to-image transformers for story continuation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.180566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:7c6206c8a45946b60da49e476621a76744e734a5f3dfd5ed8a2d8f0d824c8bb0

Observation a8b3387e-0da5-4592-bdae-2d1c48020d27 · outbound

This paper cites Story-adapter: A training-free iterative framework for long story visualization.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Story-adapter: A training-free iterative framework for long story visualization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.268261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:040d8b0c8a5ac641dd8721dd3472ce8816ad07d5c4d6b1e1ead150b8cd4e6c1e

Observation aaf168aa-dda0-4036-a8c1-a522be7777c7 · outbound

This paper cites Digital comics image indexing based on deep learn- ing.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Digital comics image indexing based on deep learn- ing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.301657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:82a90625abde11653185b7a89b2f410fd70885eb6a2f1fc8dc5d0e851a0478fb

Observation eb5f5604-b8b3-4348-80c1-8d66e5e7a2e3 · outbound

This paper cites Beyond semantic distance: Automated scoring of divergent thinking greatly improves with large language models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Beyond semantic distance: Automated scoring of divergent thinking greatly improves with large language models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.152217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:40a53975c7d8a5d1d6e4044556e3dc34edaea27218c26bcc95c99b1cc7e98020

Observation 848b7afe-b016-44b7-96d5-8d55b70cc738 · outbound

This paper cites Synthesizing coherent story with auto-regressive la- tent diffusion models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Synthesizing coherent story with auto-regressive la- tent diffusion models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.265441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:707be21b07484875422072b961b16695a3a2d322d72b7939d45c886fa219bd24

Observation d0544944-c3e7-4faa-a41f-f4cf8b45eff6 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Pytorch: An im- perative style, high-performance deep learning library

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.079455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:128571ccfe1f0699647d5c080aca56bef3d4415ac49814cf16881f5c1d932cad

Observation de351d29-6122-4dbd-a41a-a9c214fa4e47 · outbound

This paper cites ComicGAN: Text-to-Comic Generative Adversarial Network.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering ComicGAN: Text-to-Comic Generative Adversarial Network

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.703851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:b7448664588c655352a2c1cd1cf2c10200546999eae24bd169a3cb0dfec3bdf7

Observation f48da9ad-3424-4fb9-924f-89ee591c7032 · outbound

This paper cites Make-a-story: Visual memory conditioned consistent story generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Make-a-story: Visual memory conditioned consistent story generation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.123005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:303293c2afe655f14217715895157ad58531f14baecc8b2410370c32c2e3bdff

Observation e5a397e7-d7f4-4986-a1fb-6c55d6705d86 · outbound

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

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Grounded sam: Assembling open-world models for diverse visual tasks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.186845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:c6d375723a353d795c72f23bcb52e7c9dcf238c02752c9734b58c59ff1d116d8

Observation e22d468a-5575-41ca-b193-998918f19fe1 · outbound

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

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering High-resolution image syn- thesis with latent diffusion models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.223499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:e529ece54c8002abc68a1be3bf1c80dc70d057ff88e8bfae24ea8cc596e5c84d

Observation 95c61dcd-cae8-43a8-b9db-8f2a7be167b8 · outbound

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

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.073610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:fce93b09b4c5e754d7eb9e3ead8d7e93f8ea07dc2516603740fc9305c45cb76d

Observation f2b130e4-d214-47cd-813e-7f9798181667 · outbound

This paper cites Improved aesthetic predictor.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Improved aesthetic predictor

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.270672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:5aff0914e25d76647d5fa8d247c0107e11a59b7d20c6b02e3bb9f0f9fbe2829c

Observation fb3dfec9-6ad8-4e42-9ff5-82fd29ce0e02 · outbound

This paper cites Storygpt-v: Large language models as consistent story visualizers.arXiv.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Storygpt-v: Large language models as consistent story visualizers.arXiv

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.259646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:73803bf032502dc86880479bee4aab6fdf88ad0a27f5dc180c0d408642513d86

Observation 8c4eb7a1-e56c-4744-8a24-08dce6655282 · outbound

This paper cites Storybooth: Training-free Multi-Subject Consistency for Improved Visual Storytelling.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Storybooth: Training-free Multi-Subject Consistency for Improved Visual Storytelling

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.695128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:9c84511237b245021762293a82802e9235a721997c32d3db8ad05340b32e6ac2

Observation 6b2ef600-cdf7-4db2-836f-2cd1640259f9 · outbound

This paper cites Text2scene: Generating compositional scenes from textual descriptions.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Text2scene: Generating compositional scenes from textual descriptions

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.191587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:22671c8c80ee85b93efde5691819f81fbbfae427db1e500bb14c4e54db095699

Observation 0e4b76e9-f5f5-46c0-b464-76b6d64819d1 · outbound

This paper cites What the DAAM: Interpreting Stable Diffusion Using Cross Attention.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering What the DAAM: Interpreting Stable Diffusion Using Cross Attention

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T19:02:48.685713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:288fba825ec84ae420c17476f4cec4b80bd4a8651b95b7ee475e49fcbf73bf18

Observation 0788027f-8f8b-472f-86ce-8397de252046 · outbound

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

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.708170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:b1c35bd12e1daf93d42f5fc6d715d583a7558745887900683bad9397d7b13c54

Observation d807d430-05c2-45f0-9691-7f70ce102827 · outbound

This paper cites Science comics as tools for science educa- tion and communication: a brief, exploratory study.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Science comics as tools for science educa- tion and communication: a brief, exploratory study

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.273425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:a730b501959e98edb44bcab3727b5bbdcbbc277b89631c17a6fc691e051ab85a

Observation 7583cb1f-f9d9-409a-a3d4-e9ad76c2f176 · outbound

This paper cites Training-free consis- tent text-to-image generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Training-free consis- tent text-to-image generation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.109545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:ee73f2fa2d350a8a4731b466ea86c1398e9ab518ef6aceff907439d886fa0109

Observation 04a10b66-5e29-4f45-9d76-9c1766a3306d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:02:48.739193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:7ef14887964746149481950e37fbb7ead6f16fca137a79dc0355ad25a7e8cf80

Observation a063c932-8123-471d-8981-4290d8b0d226 · outbound

This paper cites Cider: Consensus-based image description evalua- tion.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Cider: Consensus-based image description evalua- tion

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.175284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:d3a6eab4530bb1e77d9c4a5c0614364f2cd177349c994fd331706a86fcd4b40f

Observation 5374f6be-55bf-4753-b485-ab77839374b2 · outbound

This paper cites CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.712781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:57ba0b2e995a7f915a6b479b03ab80ea899afda4063b7ae41f92009bf1d78bb9

Observation bac43814-8812-48bd-96cb-897359fc8c28 · outbound

This paper cites Cdac: Cross-domain attention consistency in trans- former for domain adaptive semantic segmentation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Cdac: Cross-domain attention consistency in trans- former for domain adaptive semantic segmentation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.201744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:73cd7aa2813613dea75ca24e7d0bf396eaa904f132f12db984c26be7d1fb4e69

Observation f011d6a9-9752-4552-8b19-b18e08708159 · outbound

This paper cites Autostory: Generating diverse storytelling images with minimal human efforts.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Autostory: Generating diverse storytelling images with minimal human efforts

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.211333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:d9d3418dc7f9e7ca15c3b835dd249676178146aeee04706e43caa783a8e8243e

Observation 221d86de-06fe-4e1a-b699-bae53e34c6f3 · outbound

This paper cites Large language models are latent variable models: Explaining and finding good demonstra- tions for in-context learning.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Large language models are latent variable models: Explaining and finding good demonstra- tions for in-context learning

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.133590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:3e204c74d5d5cc764c7a616bd3b3a00942d954ac3486bc4c43391c1e973b7122

Observation 573f908a-acc8-43b7-9915-12b13da7259f · outbound

This paper cites Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.104496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:db9e9426e7b156985251514ff33c32104d40dc772064858840f44034d9b19fdb

Observation 314501bf-3cad-4343-9640-d7315b222c17 · outbound

This paper cites DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.651255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:931cefce26cae2f0aa57491ce02303e512156a6a57c40089465805877c401b1c

Observation 1478f95b-6880-4b52-9d4b-6c0b456b3fd6 · outbound

This paper cites Human preference score: Better aligning text- to-image models with human preference.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Human preference score: Better aligning text- to-image models with human preference

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.168461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:ccab9a46df6045f36a48bf824aa15736fa21b136179c75f72ed27bf621a0909e

Observation 518a85ef-85c5-4a5b-a661-6bc3b87042e1 · outbound

This paper cites Auto- matic comic generation with stylistic multi-page layouts and emotion-driven text balloon generation.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Auto- matic comic generation with stylistic multi-page layouts and emotion-driven text balloon generation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.276309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:eeb48d6e46c840ff87c48c4010da17c41e765dffab6325e94741725a66741fb4

Observation fae07067-ceb2-46cc-8978-fdea24d2c063 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:02:48.666209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:39ae03039b6e62d9fe263fef6cd94301ffb69745881138a537beb57f72fd2c23

Observation 61d5f40f-453f-4043-af8c-8417fad617d9 · outbound

This paper cites Obj2text: Generating visually descriptive language from object layouts.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Obj2text: Generating visually descriptive language from object layouts

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.104125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:5c7c5ff74afe3371d8c7b272448c060941d6cb880680520cdda697c213efebfe

Observation c121c3a0-7972-41f9-b30f-ddbaa1037994 · outbound

This paper cites Perceptual artifacts localization for image synthesis tasks.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Perceptual artifacts localization for image synthesis tasks

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.183687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:a01e66874bcab75e6ed4580e6566dc3949160b1776ee44fd6cfe6c1d95501a5a

Observation 404ae37e-9036-44d2-bbbf-d0cd38a23689 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Multimodal Chain-of-Thought Reasoning in Language Models

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:02:48.699721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:d9b577dbd1e08b84d1b9ac8cc0b92e2ad62908f822159e5cb12cf40c6ba858da

Observation 85a14f73-473f-42e9-bd64-45b626744d97 · outbound

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

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.730305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:6c037068e008f26a8ff99ea12b4c3185c47c7bdcb2b901627a9959c5fa620529

Observation e210d29c-8eed-4ac4-81b7-0e7c14df51bb · outbound

This paper cites CogCartoon: Towards Practical Story Visualization.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering CogCartoon: Towards Practical Story Visualization

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:02:48.758264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:b22e2ed541ca045aad8b1698d03f0a8391d14831b95a3a989c7d8ec5680c2577

Observation 7e4c1bd4-c9d5-4f82-bb45-8c4fb9840815 · outbound

This paper cites Video2Comics [77] vs TaleDiffusion: The former struggles with character consistency and dialogue accuracy, while the latter ensures both, maintaining story coherence [500% zoom].

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Video2Comics [77] vs TaleDiffusion: The former struggles with character consistency and dialogue accuracy, while the latter ensures both, maintaining story coherence [500% zoom]

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.207950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:fa4f91642485d56e78a1248718182ec7e349260de7b5c8419c853848da0c5666

Observation c22c91a3-427c-4254-aa84-c2b3c698ee87 · outbound

This paper cites We implemented our model using PyTorch.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering We implemented our model using PyTorch

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.299112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:99ecb2006d4620e3118d750b87f772f3d3da6c68f2019119bf91614aa997cc5b

Observation ea9b292b-75cb-4634-8121-ffc838e10bfd · outbound

This paper cites We have utilized the GPT4 [4] model for story expansion and layout generation as it provides satisfactory performance for both tasks.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering We have utilized the GPT4 [4] model for story expansion and layout generation as it provides satisfactory performance for both tasks

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.282398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:004f979a46f5ad5e85f746cbacdd4d7d065ef5c43df34d43ba7352b579506fa6

Observation 615714a1-89d1-44ea-9854-3292122f71e4 · outbound

This paper cites For consistent character generation, we use IP-Adapter.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering For consistent character generation, we use IP-Adapter

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.172074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:463e1d0953d3fcbe8403244a17bbc8752a3a00b38400c8bc29dbb44b3e35ea45

Observation bf469272-166e-427d-9461-6e7cf2a38fd1 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.230936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:1e93ca51a9dd58738683776a32ec31d6a26da5fa4aa59072b633cb1776d0ca11

Observation 2f16be3c-e847-4252-a708-26346dd472b3 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.068354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:66309b054b6c34fb9d01d4c75424222a4b1c442dcc30f0636c28fbef6920e3a9

Observation 1e63533d-e2ee-4891-a3e5-6373bfb466a7 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.101998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:b415dcb92978bb7b3af35a14dd9feb84fb87e6b8b97d39ddbe092a0d9362add0

Observation f62891a7-9abe-41e0-b449-6f115b30e2ee · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.217208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:0ff998e29e0e4be149f619c375192598993dd2cea36a5e83ab9447fcecde4124

Observation e1719025-76a0-4783-8119-2ca5e2757a1e · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.141615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:0b3a9625475c0a744e40aa2af9b2c057ffc72254e8d8d2893610475df6aa9448

Observation 983785a1-f493-449d-80d3-dd43fbbc4fc0 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.296636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:12da9af49ae92e70e067e05a1f298932614b856837c3b2435f2cec195f51392c

Observation 156e69f8-7661-46cd-bd33-c9f24d9ab23a · outbound

This paper cites Here, we perform instructions facilitating fine-tuning as represented in [8].

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Here, we perform instructions facilitating fine-tuning as represented in [8]

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.079696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:9a62b785b6fea9fd43839bcb8ddb3278538a8df97a5ff5bc5a08c31de8e70c8b

Observation 8ecfc29b-ca3f-4246-a850-7591b24513c5 · outbound

This paper cites 18 and 19) and quantitatively (Tab.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering 18 and 19) and quantitatively (Tab

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.204841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:38e62f33717105aa6a4e2bf44409f1e624a40d17200dda6a663be69383cacb36

Observation b190e2b4-fea5-4937-879c-2cd56bc420cf · outbound

This paper cites Al- though BLIP-Diffusion [36] follows the text prompt unable to maintain consistency.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Al- though BLIP-Diffusion [36] follows the text prompt unable to maintain consistency

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.285434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:33ce0a9675f4d66d742dad072d3b16ee243ad5f628b2dd2a45caea3bc0b6ea88

Observation 66a17714-56f8-4b6c-a70b-fc2ae872777a · outbound

This paper cites We ap- plied style transfer, based on paintings by renowned artists (e.g., Van Gogh, Derkovits Gyula), following the approach in [18].

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering We ap- plied style transfer, based on paintings by renowned artists (e.g., Van Gogh, Derkovits Gyula), following the approach in [18]

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T19:02:49.195345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:afb8d1fde6ae3c2770e2ec22a3351659a26d8024080da6997f540d841d5dc07e

Observation 8b57c5fd-9a13-4a2b-b619-951760538dde · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 99

Resolution
malformed identifier
raw_fallback, observed 2026-05-18T19:02:49.293978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:2db04d6a91d0318cea9669031c1e873944d6b36655c02a0165d2463dc09b1e46

Observation 0025ff91-93bb-4744-8f8c-5b74d5fd29d9 · outbound

This paper cites an unresolved cited work.

TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-05-18T19:02:49.288199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T19:02:01.962726Z digest=sha256:087eadad2b943dbd8764d96f277843bd0c5a42a2188efa1b64e9ba964342cf07

Pith citing papers

Observation 8b844b03-0348-4216-bbfa-0a5e234358c4 · inbound

DocRevive: A Unified Pipeline for Document Text Restoration cites this paper.

DocRevive: A Unified Pipeline for Document Text Restoration TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-11T07:45:57.294982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T17:00:33.060573Z digest=sha256:4de3e5e4d7148163d6022db34bdcc0b7386b5821c8c98ea87af4d063d225639b

Observation 8a91bed9-b452-44ba-99c0-13707ecd72dd · inbound

DocRevive: A Unified Pipeline for Document Text Restoration cites this paper.

DocRevive: A Unified Pipeline for Document Text Restoration TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:40:25.546168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:3d06ff5b5eb2a54ca23bfd7e2ce2c5f759129fdb63964842b3dbec8657d0051e