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Paper Citation Record · LEDGER

Personalizing Text-to-Image Generation to Individual Taste

As of 9 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2604.07427.

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

pith.paper-citation-record.v1
2604.07427 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:07:31.236729Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

  • verified exact6
  • verified fuzzy32
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch22

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03fd9dca-c859-42c1-bd48-dfcfb2d0f5bb · outbound

This paper cites LLMs can see and hear without any training.

Personalizing Text-to-Image Generation to Individual Taste LLMs can see and hear without any training

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:26:02.475416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:681d25dc834ddaeda045b2c21e6e39cb39ccd30dcc12fac2739173ac39480ea4

Observation 45654134-d7bc-4ea5-892b-24fe8062e529 · outbound

This paper cites Llama-embed-nemotron-8b: A universal text embedding model for multilingual and cross-lingual tasks.

Personalizing Text-to-Image Generation to Individual Taste Llama-embed-nemotron-8b: A universal text embedding model for multilingual and cross-lingual tasks

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:30:56.196731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:2dc082cfe60aa30a4ddba480a3de602b6aaf4b96c6eb8add78258b0f793920cf

Observation 46644c0f-36ef-4372-95ae-0446c763a32b · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Personalizing Text-to-Image Generation to Individual Taste Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T05:30:56.379845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:1a0da46efaff726e2c221be3485b3775df8a0fa28e5b8dfa393ae4ed990e0712

Observation 11f63548-219e-4ad4-8ed0-a666afb425b2 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Personalizing Text-to-Image Generation to Individual Taste Constitutional AI: Harmlessness from AI Feedback

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T05:30:56.392094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:fb53319ecd02d1dfc481c0d9d4a91db3d7868e471bae4ff1074953e77963c505

Observation 28a7977f-c75d-4e39-bbac-d316cc707647 · outbound

This paper cites OpenAI Technical Report (2023) 1.

Personalizing Text-to-Image Generation to Individual Taste OpenAI Technical Report (2023) 1

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.158868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:aa7c68650dff9d21edfba28741035809dce8d5619111c35c42165986f82ba421

Observation 699c11bf-9ca3-4439-b94e-aa8d773f9b1e · outbound

This paper cites an unresolved cited work.

Personalizing Text-to-Image Generation to Individual Taste Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-17T07:09:13.112300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:3b18e7fa615752bf1ab0987c64c77f2b73ee1c21b5a30f2e2343a46e16a84b4d

Observation fc8f21e3-3e21-4e96-b1b3-560196a0c3fb · outbound

This paper cites In: ECCV (2024) 4.

Personalizing Text-to-Image Generation to Individual Taste In: ECCV (2024) 4

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.209248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:80cc0b6eb19458a5960cc1cd7e35e2a00de7b8a6e38d2ae6f9601dcdb9bff57c

Observation 47178d1a-d3e3-41b4-a887-bac27138d552 · outbound

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

Personalizing Text-to-Image Generation to Individual Taste PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:26:02.359239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:0ccc56ed4c43c23c97c757edd9f4ee7b98368c9dd6a7fee0bb69ce0a553c882c

Observation f2f1f27d-217d-4078-95b4-7a87e65a18fc · outbound

This paper cites In: CVPR (2024) 3.

Personalizing Text-to-Image Generation to Individual Taste In: CVPR (2024) 3

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.108663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:b98588125ec78489d90083fce79b38c2c9bbc609d4a13047f359c71a36defc4d

Observation 67d72b24-32f9-426e-9d66-0e607c3955a1 · outbound

This paper cites NIPS (2017) 3.

Personalizing Text-to-Image Generation to Individual Taste NIPS (2017) 3

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.176740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:684f79ba55de868086162e6e6326a21567de1a2eba6ccf629ef713fa47efd16c

Observation 2c5b9430-e2f8-44e8-a48c-0cf28cf53be7 · outbound

This paper cites In: ICLR (2024) 4.

Personalizing Text-to-Image Generation to Individual Taste In: ICLR (2024) 4

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.150745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:bb169af09c6c0e5c0ca42525bf450d0e1abe0acb9dbd7c5fd7c4343979487928

Observation 6166c3ae-9db4-4299-bdc3-f5021093277e · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Personalizing Text-to-Image Generation to Individual Taste In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.206060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:3d01f6605a9efb2b50752f2150bc1ae0591546757981de447582dfe78a6efcb0

Observation 1b0123ff-cf35-4a51-8879-9a61b3c29e3f · outbound

This paper cites Per- sonalized image editing in text-to-image diffusion models via collaborative direct preference optimization.arXiv preprint arXiv:2511.05616.

Personalizing Text-to-Image Generation to Individual Taste Per- sonalized image editing in text-to-image diffusion models via collaborative direct preference optimization.arXiv preprint arXiv:2511.05616

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:26:02.369646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:d423b8c9c64492877b3e12d79a5488fc8320da9ba0fdb0c20c4f7ca0adce3320

Observation febbfeda-0559-4a79-9b2f-97e5d78e3cb6 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Personalizing Text-to-Image Generation to Individual Taste Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:27:54.173931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:7a3c7358e22f55ed3c1fad6e5fd09c5db8a92aa8a98cf15c82b1b816988e2c59

Observation b482fb90-b99c-4fbc-8203-a48fc7528fc4 · outbound

This paper cites NeurIPS (2024) 4.

Personalizing Text-to-Image Generation to Individual Taste NeurIPS (2024) 4

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.088483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:a788aff60c877cf57a7e7172d46a260ffa314fc7ace5354f55c065fe04a92601

Observation df5b61f7-e5d4-464c-95ae-685f08815665 · outbound

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

Personalizing Text-to-Image Generation to Individual Taste An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:08:55.677650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:e6cc71502bcf6e7ded6d42a8d4f61acc2e20db81e8092840543ce581f89097ee

Observation 7c502bd8-aad4-4405-a32c-e9c1a1b3ded7 · outbound

This paper cites googleblog.com/en/introducing-gemini-2-5-flash-image/(Aug 2025) 4.

Personalizing Text-to-Image Generation to Individual Taste googleblog.com/en/introducing-gemini-2-5-flash-image/(Aug 2025) 4

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.097731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:8039f3eef325742c038c3a48b3a39402a56019aae4e5391968a7e5e89a4092a2

Observation 05320bf3-50aa-4641-95cd-1b4ee0670aae · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Personalizing Text-to-Image Generation to Individual Taste In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.154924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:e23f513f35e2e1b1c9605a72e19ad0fca25c04a4469262e56c3a9c21c2ddae67

Observation 05c66a73-94da-45e4-b2b0-121f8b832e2c · outbound

This paper cites The Llama 3 Herd of Models.

Personalizing Text-to-Image Generation to Individual Taste The Llama 3 Herd of Models

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T05:26:02.432716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:5e52744b0541f4653fd4b4b06ecb6178c8aff306a921066f16e6f8e0f606390b

Observation 80091536-7cca-4807-97ea-5c5f90c55e9d · outbound

This paper cites Classifier-Free Diffusion Guidance.

Personalizing Text-to-Image Generation to Individual Taste Classifier-Free Diffusion Guidance

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T05:30:56.251384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:c4c364a59c75a175ecff819a4275bc8b0c58f5034c209e8047ca4534e6a57947

Observation 99a0afc1-7087-4dea-9c1e-d80a6b6cb2cf · outbound

This paper cites arXiv preprint arXiv:2406.06424 , year=.

Personalizing Text-to-Image Generation to Individual Taste arXiv preprint arXiv:2406.06424 , year=

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:56.132215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:5aa2da99441e03b667b5ea0e1c869749fcfd6ff097f76bc90436a751a602f453

Observation 095ef893-ee70-4594-91c8-8cba3fdd8102 · outbound

This paper cites IEEE Transactions on Multimedia25, 5263–5278 (2022) 3.

Personalizing Text-to-Image Generation to Individual Taste IEEE Transactions on Multimedia25, 5263–5278 (2022) 3

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.136635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:5510a5d4a6f45caff650169e9540c0385526f06e07f1a5ede93f2dea948c643b

Observation e66848cc-64d8-401d-a179-3b50e688ea45 · outbound

This paper cites Scalable Ranked Preference Optimization for Text-to-Image Generation.

Personalizing Text-to-Image Generation to Individual Taste Scalable Ranked Preference Optimization for Text-to-Image Generation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:26:02.450354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:e424b5a980385fda37572b892c255fbc2904e87c9c9a93ac673eb59aa608c696

Observation 897151b2-601b-4d3a-983a-a0a71a592740 · outbound

This paper cites If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection.

Personalizing Text-to-Image Generation to Individual Taste If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:26:02.388136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:6efc6d7b42d00f082c7d645427a93d1b37d455b48b9343bc08c9bd3f123c421d

Observation 54263c9c-7ef1-47c5-8b41-9433884806f9 · outbound

This paper cites NeurIPS (2023) 3.

Personalizing Text-to-Image Generation to Individual Taste NeurIPS (2023) 3

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.196420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:cbfd5ff16440b28d2ab616915a698df39a206a7a119388b22f00d1a978115a62

Observation b6235a9d-ed37-4474-81c3-90c9812fde9b · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Personalizing Text-to-Image Generation to Individual Taste FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T05:30:56.060827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:f3bec4296a88032270d118421baef35eed26f8ed17522c0a8a49f761eab1254b

Observation 2ea831c7-7405-4001-a157-2ac1b6b59175 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Personalizing Text-to-Image Generation to Individual Taste RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T21:32:28.362135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:b56228d584feb9ed9e2b7b69f816ead98059f45562817a9d1fe975d2e46d252d

Observation 65c29226-8a72-4647-8600-22956ee76442 · outbound

This paper cites Personalized reward modeling for text-to-image generation.

Personalizing Text-to-Image Generation to Individual Taste Personalized reward modeling for text-to-image generation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:26:02.467960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:26f7f2f5fc4ac87ddbb0e9b0ce731a7cf0f7fd7a310e1267991311d24666681a

Observation f3d5d828-b031-4be2-aa29-67acf1d0dd23 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology (2023) 3.

Personalizing Text-to-Image Generation to Individual Taste IEEE Transactions on Circuits and Systems for Video Technology (2023) 3

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.193101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:b5050dffca9cc188ed48bde5327a8509664a4d6ff22b70145a6059ff2fa9cb20

Observation 826dfc40-9215-423a-8e98-19a7d1a8c547 · outbound

This paper cites IEEE Transactions on Image Processing29, 3898–3910 (2020) 3.

Personalizing Text-to-Image Generation to Individual Taste IEEE Transactions on Image Processing29, 3898–3910 (2020) 3

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.185262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:293eecbb4d28186fb652b56f1145734d1e67da3a9766e1bdb8960940346e52f7

Observation 65bd38d7-85e3-4c87-8484-3e1af96d0396 · outbound

This paper cites Aligning Diffusion Models by Optimizing Human Utility.

Personalizing Text-to-Image Generation to Individual Taste Aligning Diffusion Models by Optimizing Human Utility

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:30:56.216066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:251855386601f0b0a72f259e3d8f37f75c75fcc07ed84f84c77940428bdbba64

Observation 402972f1-dbde-45a1-88ec-dbee27b3d314 · outbound

This paper cites In: Proceedings of the 11th International Conference on Quality of Multimedia Experience (QoMEX).

Personalizing Text-to-Image Generation to Individual Taste In: Proceedings of the 11th International Conference on Quality of Multimedia Experience (QoMEX)

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T18:10:42.426407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:601feb393639308056ffc3e0b213b278bccf33409b785af3798e73f0618b2822

Observation 5dd444c9-ca06-4841-a899-0d2a771eae1b · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

Personalizing Text-to-Image Generation to Individual Taste Flow-GRPO: Training Flow Matching Models via Online RL

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:45:17.156367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:5cf2f890e8d198b1f48a7dac52eada2471f9234ebf60aee27600930ed81e7dcf

Observation 6fc6ae92-d5ce-4940-8829-0b5b555de8a4 · outbound

This paper cites In: Proceedings of the 26th ACM international conference on Multimedia.

Personalizing Text-to-Image Generation to Individual Taste In: Proceedings of the 26th ACM international conference on Multimedia

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.162846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:8633390b73258b0aebbb10f4bdee01bafda3b36c47c1d82fecf55eca24e4b450

Observation e6a66161-9e4c-4edc-9337-e1c85259b317 · outbound

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

Personalizing Text-to-Image Generation to Individual Taste Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:45:17.785272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:3d9bfbbaac082c2dbeefd519b2a73099febbd6d3d26df626e33872207ca7bdb6

Observation eb16e55e-2277-48f7-95ff-68bfc28dc6ee · outbound

This paper cites In: ICCV (2025) 3, 7, 8, 9, 11.

Personalizing Text-to-Image Generation to Individual Taste In: ICCV (2025) 3, 7, 8, 9, 11

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.125962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:521d5f1da57870c4fb27bb8145c505172c95a59eeeceb5a5359aed8bab3c8bc5

Observation 06e132b9-e88f-47d5-b7dd-3aaebb3382db · outbound

This paper cites In: CVPR Workshops (2025) 3, 4, 6.

Personalizing Text-to-Image Generation to Individual Taste In: CVPR Workshops (2025) 3, 4, 6

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.115432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:18f3504030ed89a2a1914b02fea3d1991eac85a6d8b07f5634facca80ec4ac59

Observation 751e8a70-e49a-4a8a-96f6-db7ea139eaf5 · outbound

This paper cites Improving Text-to-Image Consistency via Automatic Prompt Optimization.

Personalizing Text-to-Image Generation to Individual Taste Improving Text-to-Image Consistency via Automatic Prompt Optimization

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:30:56.173767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:6d26cbce78dcc195978138129c6e681f5543e0d5269b87f9f2a4da3dc8597a3a

Observation 98204f04-30c1-4b4a-939e-9bf1fda3317d · outbound

This paper cites In: CVPR (2012) 3.

Personalizing Text-to-Image Generation to Individual Taste In: CVPR (2012) 3

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.105577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:e19c0cb8711800cb26ba3a8132e97e959fd93f13a2dce7e48c03f60650cdc947

Observation 837571f1-5f26-40eb-8cae-04929e9c9bae · outbound

This paper cites In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Personalizing Text-to-Image Generation to Individual Taste In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:10:42.429553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:8b13324bd88e4ba40cb78a243d8c779699857f912133a9448ce5a45a7f29a8f0

Observation f90d232c-0d0a-4603-8c45-b57f92b34052 · outbound

This paper cites an unresolved cited work.

Personalizing Text-to-Image Generation to Individual Taste Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-17T07:09:13.140956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:0f57850a69aec0379766355eefcb934e74bc8576acc5fd0a113cb1384b99dd48

Observation d670fcd0-d0c0-4d5c-b6a1-0bbdc21f5e8e · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

Personalizing Text-to-Image Generation to Individual Taste Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:56.087342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:463a71a08d18853798334155d4570a5f524ebb9d34738c74d82d57f22d048512

Observation 94e9a5ac-2994-4165-af19-d1de27335400 · outbound

This paper cites an unresolved cited work.

Personalizing Text-to-Image Generation to Individual Taste Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-17T07:09:13.091576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:d89cf49995ac9a7c9a9848c153c180ff27228e5396d4ed455ba3d9e59724324d

Observation c49dd852-3b08-407c-aac1-b2c7d42375aa · outbound

This paper cites arXiv preprint arXiv:2602.02388 (2026) 4.

Personalizing Text-to-Image Generation to Individual Taste arXiv preprint arXiv:2602.02388 (2026) 4

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:56.282354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:40686b0884233cc0d3c19fb2cb3ad1ae1d128d388072c43c14043e20dc253ed6

Observation 1d7d44d4-e831-4104-b0f2-442d0769ec98 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

Personalizing Text-to-Image Generation to Individual Taste In: Proceedings of the IEEE international conference on computer vision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.189341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:953685ad7f26ee762748e770f6b2b4a24769cf65bbbaddc554ea64fb7648225f

Observation 5a19e33f-3a8d-4b2d-9b0c-645541ed2997 · outbound

This paper cites In: CVPR (2023) 1 16.

Personalizing Text-to-Image Generation to Individual Taste In: CVPR (2023) 1 16

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.199700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:12fbdc3d7f509f4e55cd693687c014a19c3e79abd17b9b072cf1adcb685c543d

Observation 78fabcb1-9183-4acb-b662-83578c9d786b · outbound

This paper cites In: European Conference on Computer Vision.

Personalizing Text-to-Image Generation to Individual Taste In: European Conference on Computer Vision

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.122611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:b54f6c87ff1ba9ac74b7b664771f9bd9ee846d0e8839f0fcb281a7aa573c5285

Observation 3bd32dbe-a3cf-48ce-a731-b3e2da009a9b · outbound

This paper cites com / christophschuhmann / improved - aesthetic-predictor(2022) 7.

Personalizing Text-to-Image Generation to Individual Taste com / christophschuhmann / improved - aesthetic-predictor(2022) 7

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.133702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:8fd31cb42a77f1351dd1cba9121ba76b7178f912c60b82a64cb88a4bed72c065

Observation 1d5d8525-2a26-44ec-8d8b-e66a8a3d861a · outbound

This paper cites NeurIPS (2022) 2.

Personalizing Text-to-Image Generation to Individual Taste NeurIPS (2022) 2

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.181268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:94b33db142353294e037abd4067b37ebc20dac18ffad169ec8bfcbebbf97ce28

Observation fb96d3af-8a38-4387-a834-abaef5cc91e3 · outbound

This paper cites IEEE Transactions on Image Processing 26(5), 2274–2285 (2017).

Personalizing Text-to-Image Generation to Individual Taste IEEE Transactions on Image Processing 26(5), 2274–2285 (2017)

Reference 50

Resolution
malformed identifier
doi_truncated, observed 2026-05-10T18:10:42.432470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:4b6bfec52ec9bfc1c5a1067a81cc71996a6f89c1ada0b5810f3f7590e5920a76

Observation 979f71f2-bdf9-4f32-b416-e9434efe7f6c · outbound

This paper cites Knowledge-Based Systems294, 111749 (2024) 3.

Personalizing Text-to-Image Generation to Individual Taste Knowledge-Based Systems294, 111749 (2024) 3

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.166529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:39f18dd1d4edbf9dbded873997d3232a0dcc93cf4b7215b895a5d0d087188e51

Observation 95d45298-8223-4938-b4a6-eb385fa251ef · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Personalizing Text-to-Image Generation to Individual Taste SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:30:56.111345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:3bf3aac1bd7d8a9bbb0daeeed21f38d3596e51870f16d72078b009b167e4cc3d

Observation 6ec589c5-c8e7-4fd9-93c6-546aeb46e674 · outbound

This paper cites Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

Personalizing Text-to-Image Generation to Individual Taste Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:30:56.356945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:a841660b4aa1ab7ea885e1ae49df5eddd4fc932f538fbbafabef2742690a18ba

Observation 7cbe215a-64da-45db-934e-5651d65fa138 · outbound

This paper cites In: CVPR (2024) 1, 4.

Personalizing Text-to-Image Generation to Individual Taste In: CVPR (2024) 1, 4

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.173367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:5b497e19cf3c6d0118931683a0217598c249dafcb47d0df504fa556b9e69b454

Observation d2a756f3-5131-46e1-91a4-3432bf3af3d7 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Personalizing Text-to-Image Generation to Individual Taste Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T16:35:48.845096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:fd2496e924f7eccc55a1fbd30654254b4e6dacdbc87b03ac7d00a7a47a8c9980

Observation c520aeed-a39c-41b1-9409-26a5a9faf318 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Personalizing Text-to-Image Generation to Individual Taste Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:30:48.951760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:808a094b447335593cf8cca870751e2254c0137312552e7e7a9988f6f8e248fc

Observation 5bcb1cb3-327a-4e8f-a4dd-fd9d854e59bf · outbound

This paper cites In: ICCV (2023) 3.

Personalizing Text-to-Image Generation to Individual Taste In: ICCV (2023) 3

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.119274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:c8c675ee03c4c5d3d5b88c3b0d0b974fbca823243736a221d9bdeb0eb0222ccb

Observation 3afff74b-025f-447c-8296-ea669fb7fa77 · outbound

This paper cites NeurIPS (2023) 3, 7.

Personalizing Text-to-Image Generation to Individual Taste NeurIPS (2023) 3, 7

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.102126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:2121e931856e0a6dfe2363544da05b583c7bf59ff22d5099f3558015ff6fb0c2

Observation 38faf4d3-0a38-4a94-94e9-1d7daaaa63ce · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Personalizing Text-to-Image Generation to Individual Taste In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.094450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:7212280248a173251a1e5d02d7b910dc9ee9971da90f339accf75dc00f927d79

Observation b26ee68d-15ff-4fa0-b809-e2d605c9ddcb · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Personalizing Text-to-Image Generation to Individual Taste In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.129490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:9d981fb4718d6cd4cc9bc3da1cfafcccc52d71abe0059e8cd2031be4278c42f9

Observation 51473dd4-6bf7-4a54-9ea3-67e4dd87fca0 · outbound

This paper cites In: CVPR (2024) 3.

Personalizing Text-to-Image Generation to Individual Taste In: CVPR (2024) 3

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.169915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:e65e5e93ff4c769c0f541bf4be7dfd3e87a7c6d3ee6d0be73555c00bd9c95dc7

Observation 8f52fbbd-f13e-43e5-8471-1ede15a668e8 · outbound

This paper cites In: ECCV (2024) 4.

Personalizing Text-to-Image Generation to Individual Taste In: ECCV (2024) 4

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.212241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:72d9935c1def8e3c38075b0d85b87edce4de453031fe9c8d61cd41d8757a9be2

Observation 5b0ccf17-fb29-47cd-ab89-5c3e38375844 · outbound

This paper cites IEEE Transactions on Multimedia25, 179–190 (2021) 3.

Personalizing Text-to-Image Generation to Individual Taste IEEE Transactions on Multimedia25, 179–190 (2021) 3

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.202896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:2978b21c5abaafd7acf66b24c2dc67200c0f0b667128d5e20558b7779b9b77eb

Observation 10b1b00a-fd14-44db-a306-46d35375b619 · outbound

This paper cites how beautiful the image is, how much they like it, prefer it and are drawn to it.

Personalizing Text-to-Image Generation to Individual Taste how beautiful the image is, how much they like it, prefer it and are drawn to it

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:09:13.085250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:07:31.236729Z digest=sha256:d11646516e0fac1d3461911ae9f50fc7437374fafc2ed8788b99cc8458a8fabf

Pith citing papers

No inbound Pith citation observations are available.