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Paper Citation Record · LEDGER

Nested Attention: Semantic-aware Attention Values for Concept Personalization

As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2501.01407.

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

pith.paper-citation-record.v1
2501.01407 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:44.354784Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T15:16:59.801347Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T15:20:08.912881Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4f9ec60-5837-43fc-b2a3-866f61d37d75 · outbound

This paper cites Cross-image attention for zero- shot appearance transfer, 2023.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Cross-image attention for zero- shot appearance transfer, 2023

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.279820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:43.949902Z digest=sha256:8160113aebdef5641735f19f69871d92d7473f0b19914e9ffeeaae73b8008ceb

Observation 4960452f-f0e7-4647-9ed0-96221f93bc92 · outbound

This paper cites A neural space-time representation for text- to-image personalization.

Nested Attention: Semantic-aware Attention Values for Concept Personalization A neural space-time representation for text- to-image personalization

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.263503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:43.955336Z digest=sha256:c6f3ace6f96bf449231faa9c8da48b72887231a6ce055cd78c0c11fc7271961d

Observation 416065b2-cb8f-4111-8af6-6ce52d028261 · outbound

This paper cites Ghost- facenets: Lightweight face recognition model from cheap operations.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Ghost- facenets: Lightweight face recognition model from cheap operations

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.247416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:43.960297Z digest=sha256:13dacbf73cdfcdd71351d33e9181509e0576c04eadc66a7a8056c4e77301f42f

Observation fa55b2e9-a4eb-4d76-b79f-4f4f63801ccb · outbound

This paper cites an unresolved cited work.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:32:45.230945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:43.965696Z digest=sha256:73504d153780ce941f7019c23f3b498a8421ec3c07f93662a25c8677ae5929bf

Observation 443858ad-8c88-412e-bc96-1e9b2a624056 · outbound

This paper cites PALP: Prompt Aligned Personalization of Text-to-Image Models.

Nested Attention: Semantic-aware Attention Values for Concept Personalization PALP: Prompt Aligned Personalization of Text-to-Image Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:43.970777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:43.970777Z digest=sha256:1d30ffdcabbc52081246a6738ff685d06bc5fcceeef9af340408f7191ea57a97

Observation 05c94d90-ff9e-4b06-a30c-32ff526d7fcd · outbound

This paper cites Break-a-scene: Extracting multi- ple concepts from a single image.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Break-a-scene: Extracting multi- ple concepts from a single image

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.214348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:43.976181Z digest=sha256:25ad4786ab2add3bd2c02f193329803919abc0ac74d9ac5efd2ab456cbe7329b

Observation a3214698-418e-4ec3-8664-b5c503fcc566 · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:43.981817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:43.981817Z digest=sha256:5d9f983513c0876e21fa1e1567a816b695ed8ff4bd20492fa531151963a08441

Observation 1d189252-1098-41f7-80b5-f2ccc137283f · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:43.987048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:43.987048Z digest=sha256:ed060150173974ec2143dc426cbf9d24960d0b812e51e7bf32692ffcfca4307a

Observation 55a67736-aeb8-457c-9641-8ddaf7d45bd3 · outbound

This paper cites an unresolved cited work.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:43.992000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:43.992000Z digest=sha256:63eeecc452261d5d65e5d972b8daae230ae08c1590b9d486be8e5b4bbd2f6e79

Observation 76eea7f8-2bad-42a9-b96d-4ae29c213540 · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Stargan v2: Diverse image synthesis for multiple domains

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.176597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:43.996827Z digest=sha256:761c76ebba9ba5b3aeae9845c5f7294455acb01ff6887b57ce17f9caf283a747

Observation b033d95b-8666-4fe1-b4c9-e883dd63b9a7 · outbound

This paper cites Be yourself: Bounded attention for multi-subject text-to-image generation, 2024.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Be yourself: Bounded attention for multi-subject text-to-image generation, 2024

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.160451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.001632Z digest=sha256:281bf1379bbe52ff5132f88d99f9f9ebf11b30a7777b99bba865cd0d2e8be94d

Observation d9640bfb-60ae-4232-ac46-faf0bca28b73 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Diffusion models beat gans on image synthesis

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.143427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.007010Z digest=sha256:7cfbe5d573521b4c1d0167c76a89e9c0fd108fec8d1de7290fb625d561fc7614

Observation 0de3e6fc-a779-49b5-b00f-1f61d0e4f64b · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.011770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.011770Z digest=sha256:c2bba3089ca8834aa557ee6c87d464bc62c3b109463ab771304c3b078793fd15

Observation 3b55754c-f30c-4602-8d2e-024bc8e29d8a · outbound

This paper cites Implicit style-content separation using b-lora.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Implicit style-content separation using b-lora

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.126348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.017376Z digest=sha256:8338c4b5568ffdc3dd1867f43f58d624df078814e4a85bdd2c826d3c62577e29

Observation fe323e1f-0e48-4436-8c71-45e2c96603f7 · outbound

This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Bermano, Gal Chechik, and Daniel Cohen-Or

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.109302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.022442Z digest=sha256:6c4dc5875859d01fadfb696f2c786c2ce27f6ef7d368105290a4d54cc1a86f41

Observation dc029a6f-6d75-4882-abb2-c520313abc62 · outbound

This paper cites Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.092906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.027621Z digest=sha256:11cfcf53bc22631ca03e9c8f631e399fa161148d02aadf80a33e84fe002ef5fa

Observation addfb2c1-4c23-4b81-b32f-88437e5f0d79 · outbound

This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Bermano, Gal Chechik, and Daniel Cohen-Or

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.075462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.032819Z digest=sha256:9f9756ec5290dc8cdab637d912bc788d6ac6d768f079a912273f523f56818515

Observation f851104d-afc1-4a58-81b5-34cb8a0b5d39 · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Reference 18

Resolution
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no resolver link, observed 2026-08-10T22:32:44.037627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.037627Z digest=sha256:75b5490b0dba2ad3b92e8720af2a418b62a9ebfe47f48e1d88c3db3588bd9b3a

Observation deee321a-674c-408b-abc2-05404dfdb81c · outbound

This paper cites PuLID: Pure and Lightning ID Customization via Contrastive Alignment.

Nested Attention: Semantic-aware Attention Values for Concept Personalization PuLID: Pure and Lightning ID Customization via Contrastive Alignment

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.042881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.042881Z digest=sha256:b17796c185674b5330a6c20ed0d1b0e3913159623ad19092970bab1e394053df

Observation 7af1e8e0-4649-48a1-ae75-e2ecea40bb84 · outbound

This paper cites Svdiff: Compact pa- rameter space for diffusion fine-tuning.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Svdiff: Compact pa- rameter space for diffusion fine-tuning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.059544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.048804Z digest=sha256:221f7b2d845cadcca5e07ab8de3080f86da81976046a099696528ed4c8bc1682

Observation 625ed524-6e56-4f97-99e7-fb51dcdd7f86 · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization Prompt-to-prompt image editing with cross attention control

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.042972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.053504Z digest=sha256:d686867240e8a83b92d019a3b3fd0d80f1da76d3946bad0e52fc985c8298c508

Observation d93c26aa-e01b-44d7-886a-f4c152b91505 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Denoising diffu- sion probabilistic models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.058266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.058266Z digest=sha256:7434cdd65fe5f72b4926647ec9a3791932ed858710b33accc686f614307d9224

Observation 6a22c519-2855-45fb-92c6-e55f63335235 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Nested Attention: Semantic-aware Attention Values for Concept Personalization LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.063123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.063123Z digest=sha256:c6c20a78d700c3030f6825d4d9610203494cf2a1ac04a9e408e8258fa8a64679

Observation 9662b09e-5341-4922-be57-bdd8e25f7132 · outbound

This paper cites Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.068172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.068172Z digest=sha256:1b85b2d62c7a152301427944f2f4282b477b687fc3f8f268b6b96858ba31eb5b

Observation 5ae1006c-a810-428c-9627-ebfe36a380fd · outbound

This paper cites Customizing Text-to-Image Models with a Single Image Pair.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Customizing Text-to-Image Models with a Single Image Pair

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.073367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.073367Z digest=sha256:5f4bf7c225d3907a0d9155fae0ed4f704f3fc8be1187a4ea8c146174b7f9d3a8

Observation 3381fb68-3ef8-4c9d-86af-356490c19558 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Nested Attention: Semantic-aware Attention Values for Concept Personalization A style-based generator architecture for generative adversarial networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:45.015410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.078402Z digest=sha256:dbd9f8350cbb1c63e23ae2e30104c94b0ef57da2c45c7135a56528e2a1846329

Observation 2dfc9dc1-9f26-4ded-aaf1-3244b531c199 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Multi-concept customization of text-to-image diffusion

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.997914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.083198Z digest=sha256:4c6babc04b1de81f80023ed5269bab4051e9040febea0277d54be31d706e876b

Observation 8aaf7d77-0719-4678-9b81-544a0b320974 · outbound

This paper cites Keras insightface.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Keras insightface

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.981914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.214424Z digest=sha256:b5a478b1da5b0756e0c8167095e28a6100013d5dc99aedfeb0fbd2e72d4c4587

Observation e7c9f770-d1cc-42a5-b843-b5d5dc21b6e0 · outbound

This paper cites BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.

Nested Attention: Semantic-aware Attention Values for Concept Personalization BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.219682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.219682Z digest=sha256:8109e6209ea4f0b92324a838da2170a2aa4be47c4353f2a03b34a96a3a506a4a

Observation c81302ec-5c9e-488e-af5b-e11ca95a208d · outbound

This paper cites Photomaker: Customizing realistic human photos via stacked id embedding.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Photomaker: Customizing realistic human photos via stacked id embedding

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.965047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.224602Z digest=sha256:192bc5624768d0c8b97a78b6ab779ef9722afcf537a62fe41c68882407ea2a2f

Observation 78441714-6b49-42ff-93c1-bc02eef1267f · outbound

This paper cites Self-distilled stylegan: Towards generation from internet photos, 2022.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Self-distilled stylegan: Towards generation from internet photos, 2022

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.948609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.229469Z digest=sha256:b0e6c46d46e3fb5ad9cbac34588a1c3f44758e9df74dcfca6fecdb211e71f5f7

Observation e04708c7-efc7-4119-9c5a-a7ec9bf2d302 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Nested Attention: Semantic-aware Attention Values for Concept Personalization GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.234336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.234336Z digest=sha256:9942e214b6d94e1fd8e8ef76c58830e8475ad51f74f36ccb82bc315b52192081

Observation 6961fd74-670e-4da6-93b7-269589fafa97 · outbound

This paper cites Zero-shot image-to-image translation.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Zero-shot image-to-image translation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.931379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.239602Z digest=sha256:d44bbe6029832844eca2e14618a4449d6dae0210149d0e8da2bef3830d58aa2f

Observation 4f828ed0-70e6-4cc7-b0e5-bd9659b4e73e · outbound

This paper cites PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization.

Nested Attention: Semantic-aware Attention Values for Concept Personalization PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.244359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.244359Z digest=sha256:15dea5d4ea45e88ed4bbc311a3949be1af1f6a0e414556e7cad9ecfb1627dc6e

Observation 525fb9b1-6f43-45fb-8cc5-8ce36c8c9663 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

Nested Attention: Semantic-aware Attention Values for Concept Personalization SDXL: Improving latent diffusion models for high-resolution image synthesis

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.915020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.249227Z digest=sha256:e7a66715662b0913f1f17655e08beecaf95c6b75571f56635b71e1c94828cfa3

Observation 324a54f1-0588-4448-a24d-d9c4beffbe75 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Learn- ing transferable visual models from natural language super- vision

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.898999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.254180Z digest=sha256:1eb1e9fd6f60e638e17988333ba271c2c4723ac5da554ed046b08a6fd0360f3c

Observation cf95ca22-7460-4325-8f18-d2b20233c33a · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.258957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.258957Z digest=sha256:e3f542bbf05eda56eac161b7de3129e33c473e7d33657ac6289deb443adb78bf

Observation 52c178ec-46fc-48c6-bce7-41e27ce85250 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

Nested Attention: Semantic-aware Attention Values for Concept Personalization High-resolution image syn- thesis with latent diffusion models, 2021

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.263802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.263802Z digest=sha256:f9d861a339db57bd5366ab49816c8c1b34b5fdf1f84f602d9b1c7257c30e3d60

Observation 7e476911-ca90-4fec-b69f-f09b4ed2c22b · outbound

This paper cites Rb-modulation: Training-free personal- ization of diffusion models using stochastic optimal control.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Rb-modulation: Training-free personal- ization of diffusion models using stochastic optimal control

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.872965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.268767Z digest=sha256:9636fc6915b47ed608650b1ddfa2d67331a6bd7f1cc2f87d1b4917719ffede90

Observation dcdc9ed6-30d8-43ae-a4c7-5b637bb29b55 · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.856556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.273601Z digest=sha256:6628d1ca910231c27b858ad4df03c0bd8ef65e8450e393ac09f0d3342d65f1c0

Observation db0ec998-cc68-49b4-b51a-d0a8e5203f08 · outbound

This paper cites Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models, 2023.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models, 2023

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.840027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.278560Z digest=sha256:3732926cd91314c2d91194eb5f7d1e135b9fe2048eb4e2bd6980ac8b3fa32cae

Observation ac696666-c097-4795-b6ef-479b325af223 · outbound

This paper cites Low-rank adaptation for fast text-to-image diffusion fine-tuning.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Low-rank adaptation for fast text-to-image diffusion fine-tuning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.823374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.283475Z digest=sha256:d1fb6884091632e73e6e651b283e6b6bab6d4f223cf83ecdd2fde97281398e14

Observation 05ab0dfc-483e-46cb-8bad-60b5094b72e4 · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Ziplora: Any subject in any style by effectively merging loras

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.288454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.288454Z digest=sha256:d233c7dbdf08dbd68563dfb6814f5422a89e867a6dc8911ace428ade2d9cea46

Observation 7b4c6a1e-026e-4765-b6eb-c8a494ae5603 · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.293801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.293801Z digest=sha256:24bafe1aa10be2b3c7a5bd4223e165cb4be5524647baabe66138cf160bc419d1

Observation 80094c0b-d424-447c-b937-394cc325b6f1 · outbound

This paper cites Key-locked rank one editing for text-to-image personaliza- tion.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Key-locked rank one editing for text-to-image personaliza- tion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.794966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.299396Z digest=sha256:3df85b9ac2ef8afe03095d51b54ef37db3af1c6e4e6e8fef801d9ce078f86455

Observation db96415d-26c6-48eb-94d5-fc35e7376a8f · outbound

This paper cites Training-free con- sistent text-to-image generation, 2024.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Training-free con- sistent text-to-image generation, 2024

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.778951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.304466Z digest=sha256:fa6c6aa555672ed97eaa8a438acf42a035f1390db6f48b5628d875d6c521c672

Observation 3dbbfc0b-46a3-48af-a242-31844c5cce9d · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization Plug-and-play diffusion features for text-driven image-to-image translation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.309140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.309140Z digest=sha256:925219a4179165d44bf76cb5760915d7cd884e2546ef85332fb396185ab3f357

Observation 0b6ba9ed-5d35-43dd-a83b-e759ad13797b · outbound

This paper cites UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image.

Nested Attention: Semantic-aware Attention Values for Concept Personalization UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.314245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.314245Z digest=sha256:24364aff0f190738d0d98099ca35f1d1722ff7dac5e714c3c9103c8a8355a9dd

Observation 88695803-0c5d-47d5-9aaa-bb67fb9a2c0b · outbound

This paper cites Face0: Instantaneously conditioning a text-to- image model on a face.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Face0: Instantaneously conditioning a text-to- image model on a face

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.751203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.319420Z digest=sha256:810273c0cd232d66c4311b337b616d01224e2c099a83b3cd0146c28b91626ecf

Observation 6b78746c-b4af-41a6-9818-74a34e2cf58e · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.323958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.323958Z digest=sha256:6d1e5ced9a3d83ba145ca701df712fd77e81a8a3d52ff96c0c129cba1d69a157

Observation 7dd7a2cc-86e8-4096-a354-bd921decd7d0 · outbound

This paper cites Moa: Mixture-of-attention for subject-context disentanglement in personalized image gen- eration, 2024.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Moa: Mixture-of-attention for subject-context disentanglement in personalized image gen- eration, 2024

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.734722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.329034Z digest=sha256:d497cb209ffc3c76be643ac2011e5af680b5b9bbde852452b4f6b3e43426a874

Observation 717d8cb6-eae5-4d5d-b37a-5755ef43301f · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

Nested Attention: Semantic-aware Attention Values for Concept Personalization InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.334152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.334152Z digest=sha256:8ef1f22f13e2c41ac1365e13f80bc38887c7c72b92c17c5e62310fe266896377

Observation 47a4e3f1-f6ea-4ce6-bb91-cc3048b03bfb · outbound

This paper cites Elite: Encoding visual concepts into textual embeddings for customized text-to-image gener- ation.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Elite: Encoding visual concepts into textual embeddings for customized text-to-image gener- ation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.717234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.339337Z digest=sha256:3202f72f44575c86d5cb75a7e726a28f5f1c1b2e23e9ed58bd1c72a29c54b128

Observation 86061a88-4150-4371-a5f1-a7061419b306 · outbound

This paper cites Freeman, Fr ´edo Durand, and Song Han.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Freeman, Fr ´edo Durand, and Song Han

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:44.699449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:32:44.344194Z digest=sha256:a9490e46793cc7ab4f334c3742d3b0d3b119f7caa46d5a20ff299872e86684b1

Observation dce067bf-2ca5-420e-b670-11c98a9df245 · outbound

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

Nested Attention: Semantic-aware Attention Values for Concept Personalization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.349825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.349825Z digest=sha256:d7ebe7da03c71741f402def74683b0ae92f60a6e6a824398a68f74ff3eeea9fc

Observation 4e92c88f-723e-4fb7-9f24-fe698a5fd5ba · outbound

This paper cites Inserting Anybody in Diffusion Models via Celeb Basis.

Nested Attention: Semantic-aware Attention Values for Concept Personalization Inserting Anybody in Diffusion Models via Celeb Basis

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:44.354784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:44.354784Z digest=sha256:3a733f8fb307bac82384d1512624f6d77115af1364dcdab009e8a8cc6ff6b4c7

Pith citing papers

Observation 5a193080-23ff-489d-b8c3-684b1327d686 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation Nested Attention: Semantic-aware Attention Values for Concept Personalization

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:20:08.922064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T15:16:59.801347Z digest=sha256:a899e3b71ca961ea96021244c633e4e2e125e7a4f1f943a49399675e8169ba81