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Paper Citation Record · LEDGER

Nested Attention: Semantic-aware Attention Values for Concept Personalization

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:43.949902Z digest=sha256:1f4506c5895b85c6fc7b24791ab046aac39a074d4289c8553d73d12691ce998f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:43.955336Z digest=sha256:07aa04a2bf268b82b7e247e390e31d61251fbd6398ae641f9dce033063ac1989

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:43.960297Z digest=sha256:459c5e0e843767cd8420280723ba4291c39568b78d0f3aa7cd53e1b92c559c38

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:43.965696Z digest=sha256:fe0113fa53a35290de43255fcb4a3061c200ed48792e5f40aa645a7d00f8fcf3

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=sha256:32fdc6ed4b9c82b8c7e2a8bc787129bafcf2c90499cdfa37d65e7d9836afa192

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:43.976181Z digest=sha256:80f82133c22b1c92a47c6b7a1b9635c787680650c1c2ee086c6c0b208438536b

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=sha256:410afe6d1dc70ae095f97e11387709e4783ee4a9d568ce87a7a13c39ba176269

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=sha256:4aa83a9899fbb08a34d8c7b4a5e8f97c0075f141af1da7c9b66f909e93cf6baa

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=sha256:1ead77cec85c5fdb6c3109a46d7066f2dda6b5368a6a823543627c41f07ac7f0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:43.996827Z digest=sha256:c42d8e2909a76e32cb1afa73f1c272b4c18f0bcd62d9e9b74652636513f79191

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.001632Z digest=sha256:38e2b2c77c2a36e67de4c617c3eeb8d74d5a4e422a330133e3003bfcda58baf4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.007010Z digest=sha256:d7ec29613beb1a9cc11ee6898364e601d0f102db481fd741b57583904fb8fbeb

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=sha256:47714e8c074eccd903b839d94093388c5b0f77755447e7808908a19a50653605

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.017376Z digest=sha256:bd7134e96606f28de6a4e54168c3e12a5a90f47dd3f556157356fe07c2a0ccd5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.022442Z digest=sha256:e8722ce915776b1d36a3a9b2c2f65c2b7ea3a7877ac976ac7f164919266aefb9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.027621Z digest=sha256:aa9bde81650c5f81d021af387602517c3e262c90185b99658f50b5d1b03d9e99

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.032819Z digest=sha256:6f0cbca593d1385ffb433990d90f3571e5e34925642fe05f8bab414fe10a8c87

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=sha256:90de2eae53c039bc0c0221fadfcce32079aeed55db9a2b6ae670fdea0095d12a

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=sha256:83436f3b74042683aae717ec3134bcb3c5b96efcdd8f9fa513cc899a7b2f8ed6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.048804Z digest=sha256:c32e1a43e02f13de7576c5ddc2ffbf8295e1f57b7ef503798373a3055bd3c87c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.053504Z digest=sha256:fb56fac9010ac70ae0f6fb58dba6dbd2a4f5b3899b6d78c1fb1562229d2804df

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:c9e1fda57c54ff2f467abe603b1d70e41b94ce94594a4a850ecf634bb9361a44

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=sha256:8295c6a141fbed251dc315ec5212969a04e4b87e9474c3bd3bb2590b22d3fe0d

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:a273cf4ecac7cdcbc154187fad4f12c9735542621497564b6750ac88b20c30ec

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=sha256:53c84b6faa9aff321540b1512bf1bd0cc8e37970d57dddd2748e0fd21bbff014

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.078402Z digest=sha256:f25dd55d715dd80c421a0d80458a8cce9dba9c9176b218d10714852600bf4d65

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.083198Z digest=sha256:f8b1275dbf1098074e2d03df34e0c8c25d894ec40507bf20d347333e7f1dfa7b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.214424Z digest=sha256:2ce1395cc9efe99eaa746b7ac3b5c407c715ced32d1ab75b4b026d4709894250

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=sha256:5862ad9500566c7e91efe7d01dc08b6e571824cc6ede6a7bc42da0fa6171c4e2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.224602Z digest=sha256:d9fb4af1d4496f85ebc5f758e51ff237aaf0181cab96f10b47164a9143c084d6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.229469Z digest=sha256:3f8785f1aa834ca20ab797fb2025971e0c3639bfdf5c25fed0d92e55c6b55983

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=sha256:79895fab1d3e23c6fdf7aedc1349f0c1f8c159922b40932cf2f5e1a51328b371

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.239602Z digest=sha256:53e7e0c9ae2cf7d2d522f59f9d7c99f1a72978f57b06d0a29a7adf8013d94c57

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=sha256:180e706ba6f1821c9dc4820a096ed4bf0163520270a27f16109ff3d0b7e2f602

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.249227Z digest=sha256:a88074acafd61f84f6f1b2409393323c0f17fa267d93412d8353ac14ccfdc789

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.254180Z digest=sha256:c4e9eb8bd8937f3004e2912f22369a19942bf4629204d65296dd7182341585e5

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=sha256:3d27f4368ace6e21629638191ca355fa182faad50fa85ea80bc78310843ebac8

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=sha256:8fa4e080becdd6fee90826d9398e02a0877113a2338010f54906f46c5cfaaf9e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.268767Z digest=sha256:939532e857111a8bcf1d67418ea56d7b07d740362467e16abd2c322dad47c433

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.273601Z digest=sha256:7407d5e9455938bced84ce3403c4f75b27d7e7af1b3c556eccf3486415ffdef7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.278560Z digest=sha256:d1883d74ee10063ab89c3af667ec18ab094b044bb9e6fcfc825fb907269bd89b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.283475Z digest=sha256:f308eb98100ff51125aa24bb7e7416bd41054cc6c07f53f7bb875625009a2349

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=sha256:3a0e00d6948cf7f1ea35f27a7092df2a2e3c5c4c4de047254bca0109ca206554

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:f3bf2d37757c666220020249381da459e8fdf08b8a46b0ec5999d281309cd3ca

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.299396Z digest=sha256:62592f4b10232b0f0cbec3760f8402ea9a4dff6c52739bd49399cab5da264d91

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.304466Z digest=sha256:7261d117cab7181e76584d544e3a64aa0759a960305894a885181176a78ce5bf

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:b8a0c72d93e978f5845ae044aaca907d222ed15ba37a0060453ef0f544e40447

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=sha256:905a6cc4f7a1a1f174b741a1cf1cc7ae7225bfde588b4f545eccd7b66f4c5aa4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.319420Z digest=sha256:335d1a986b5a95815ba624f64519d3d6e336dc54da6d9da96dddf81ce9a242df

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:d802137a2ebdfa90b67f59aa03d3fac4b0b70b689828710ad13019552b5b8498

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.329034Z digest=sha256:0e9f7a5d14be734b23f03ee788990f38d57edb1bce36dc27f841072deef8ebd4

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=sha256:8b0ef4b3ea5f127156a563e5406bb112737e6f8af2bfccfb5d26149162602dde

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.339337Z digest=sha256:af37a62405b1a7d5c66266677ab82cd736305d1fa883557dc95657753e8ecc09

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:32:44.344194Z digest=sha256:99c918d235fc648297eaaad76349a2a73daa4d588cb1f1c96d84e4b70188c9e6

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:e737a9602782aaf999cbd96b3735afb3c5d8308c8bdfcf98f01854a029e3960e

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=sha256:69224afbb89e0dc9df23deb331aa223c1b1cfab06d1261a7945c2dabf1cc0678

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T15:16:59.801347Z digest=sha256:3b11de75bb35c00db219925b4ed1a864ee7f9c82bedd7da61f18788a7b05939e