Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T01:28:54.996340Z
Paper Citation Record · LEDGER
Adaptive Subspace Projection for Generative Personalization
As of 5 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2605.07257.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact11
- verified fuzzy31
- unresolved0
- parse uncertain1
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c7753f0f-694a-40b6-b1c4-1afe1294cd71 · outbound
This paper cites Palp: Prompt aligned personalization of text-to-image models.
Adaptive Subspace Projection for Generative Personalization Palp: Prompt aligned personalization of text-to-image models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:22:04.600048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3fd7e386-83a4-4cd6-bcbf-27b7ebc31314 · outbound
This paper cites Break-a- scene: Extracting multiple concepts from a single image.
Adaptive Subspace Projection for Generative Personalization Break-a- scene: Extracting multiple concepts from a single image
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.515374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 37e070c4-7d17-4537-ac88-ba8f5edf616b · outbound
This paper cites Interpreting CLIP with sparse linear concept embeddings (spliCE).
Adaptive Subspace Projection for Generative Personalization Interpreting CLIP with sparse linear concept embeddings (spliCE)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:22:04.616457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7e9959d9-4795-444c-af9e-c59cead984fc · outbound
This paper cites Mitigating semantic collapse in generative personalization with a surprisingly simple test-time embedding adjustment.arXiv e-prints, pages arXiv–2506.
Adaptive Subspace Projection for Generative Personalization Mitigating semantic collapse in generative personalization with a surprisingly simple test-time embedding adjustment.arXiv e-prints, pages arXiv–2506
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:22:04.613502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 596744de-0521-4415-8974-e5c68aa2c102 · outbound
This paper cites Emerging properties in self-supervised vision transformers.
Adaptive Subspace Projection for Generative Personalization Emerging properties in self-supervised vision transformers
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:22:04.610356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80d6c9c2-2f1a-4b70-9077-0a3b87ad10af · outbound
This paper cites Artadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation.
Adaptive Subspace Projection for Generative Personalization Artadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:22:04.622149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b955b331-7c9f-4a5e-ae61-be9ae5fd88e1 · outbound
This paper cites DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation.
Adaptive Subspace Projection for Generative Personalization DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:52.223797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 35b853cb-d218-4d47-a390-17a844ae3ba4 · outbound
This paper cites PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models.
Adaptive Subspace Projection for Generative Personalization PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:52.230308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1510d3d-6d2b-48c8-a42c-d595f488a8e1 · outbound
This paper cites Dreamidentity: enhanced editability for efficient face-identity preserved image generation.
Adaptive Subspace Projection for Generative Personalization Dreamidentity: enhanced editability for efficient face-identity preserved image generation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.523656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 32b70890-cb16-4da4-b3dd-db900c214a7a · outbound
This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
Adaptive Subspace Projection for Generative Personalization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 10
- Resolution
- verified exact
- 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 2026-08-04T06:34:03.388597+00:00.
Observation 6cdf71de-cf9f-4899-8aeb-a6f195bc7571 · outbound
This paper cites Svdiff: Compact parameter space for diffusion fine-tuning.
Adaptive Subspace Projection for Generative Personalization Svdiff: Compact parameter space for diffusion fine-tuning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.521932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2cb0e550-e809-4f10-910e-34c2918c83d7 · outbound
This paper cites CLIPScore: A reference-free evaluation metric for image captioning.
Adaptive Subspace Projection for Generative Personalization CLIPScore: A reference-free evaluation metric for image captioning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.525431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3788d689-c5d2-469e-bf77-4493bcb8f6e5 · outbound
This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.
Adaptive Subspace Projection for Generative Personalization Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.529478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36fc5463-a094-4d55-93e5-220fe1865ac9 · outbound
This paper cites Classdiffusion: More aligned personalization tuning with explicit class guidance.
Adaptive Subspace Projection for Generative Personalization Classdiffusion: More aligned personalization tuning with explicit class guidance
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.517997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ebe1f9dd-b7cc-428f-a28f-2f46222af677 · outbound
This paper cites Reversion: Diffusion- based relation inversion from images.
Adaptive Subspace Projection for Generative Personalization Reversion: Diffusion- based relation inversion from images
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.511322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c7fcbd4-7758-433b-9165-40faee8c9a46 · outbound
This paper cites Scedit: Efficient and controllable image diffusion generation via skip connection editing.
Adaptive Subspace Projection for Generative Personalization Scedit: Efficient and controllable image diffusion generation via skip connection editing
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.519889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 86a85d03-6f15-43c4-adea-681090e4c7c6 · outbound
This paper cites An image is worth multiple words: Discovering object level concepts using multi-concept prompt learning.
Adaptive Subspace Projection for Generative Personalization An image is worth multiple words: Discovering object level concepts using multi-concept prompt learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.527238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67f04f8e-efb9-4fb3-9cf7-3427b463c51a · outbound
This paper cites Omg: Occlusion-friendly personalized multi-concept generation in diffusion models.
Adaptive Subspace Projection for Generative Personalization Omg: Occlusion-friendly personalized multi-concept generation in diffusion models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:22:04.618939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 823d42ee-4869-4ade-8ac7-85b924425913 · outbound
This paper cites Multi- concept customization of text-to-image diffusion.
Adaptive Subspace Projection for Generative Personalization Multi- concept customization of text-to-image diffusion
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.513440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d285ae0d-89fc-4b4c-95a7-afe1e48da74a · outbound
This paper cites Generate Anything Anywhere in Any Scene.
Adaptive Subspace Projection for Generative Personalization Generate Anything Anywhere in Any Scene
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:52.210660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f0b33e7-f47e-4e9f-8ef6-7959486f2830 · outbound
This paper cites PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding.
Adaptive Subspace Projection for Generative Personalization PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T01:45:52.207399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fcffa394-b115-47bf-bad2-df964a43c7d9 · outbound
This paper cites StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter.
Adaptive Subspace Projection for Generative Personalization StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:52.202894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c9e53bef-6de7-4a5d-ab30-1ea9793087f7 · outbound
This paper cites Deep learning face attributes in the wild.
Adaptive Subspace Projection for Generative Personalization Deep learning face attributes in the wild
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.499005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a3152f27-27e0-4918-88d2-cbb171001a2f · outbound
This paper cites Lego: Learning to disentangle and invert personalized concepts beyond object appearance in text-to-image diffusion models.
Adaptive Subspace Projection for Generative Personalization Lego: Learning to disentangle and invert personalized concepts beyond object appearance in text-to-image diffusion models
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.492192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 26a4c739-92d2-42db-a475-08f8238e3b80 · outbound
This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.
Adaptive Subspace Projection for Generative Personalization T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.494342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f2f8f8ce-e697-4cb6-94d1-7fb78cc9c21c · outbound
This paper cites Chatgpt.
Adaptive Subspace Projection for Generative Personalization Chatgpt
Reference 26
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-14T16:17:05.500675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e3f86c36-e2ae-47a0-a32b-71c31ad06b24 · outbound
This paper cites Controlling text-to-image diffusion by orthogonal finetuning.
Adaptive Subspace Projection for Generative Personalization Controlling text-to-image diffusion by orthogonal finetuning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.485909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e18fed39-bc42-443b-9685-8c9aef9c5f65 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Adaptive Subspace Projection for Generative Personalization Learning transferable visual models from natural language supervision
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.490397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation db0f4620-ad7b-4403-913f-8559169ad9d8 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
Adaptive Subspace Projection for Generative Personalization High- resolution image synthesis with latent diffusion models
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.509250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e69c8edd-b118-42b3-85ee-74753c39a9ca · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.
Adaptive Subspace Projection for Generative Personalization Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.502818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f42ef29a-7201-4db1-a4a7-fdc259b30dca · outbound
This paper cites Clic: Concept learning in context.
Adaptive Subspace Projection for Generative Personalization Clic: Concept learning in context
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.483835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 37dae649-f793-450d-b8cd-34c5ba5b6353 · outbound
This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
Adaptive Subspace Projection for Generative Personalization Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:38:54.138183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34175537-05e4-4e91-ade0-336b98b142c7 · outbound
This paper cites StyleDrop: Text-to-Image Generation in Any Style.
Adaptive Subspace Projection for Generative Personalization StyleDrop: Text-to-Image Generation in Any Style
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:52.217240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae1e163a-dc72-454a-8114-332f98648b63 · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
Adaptive Subspace Projection for Generative Personalization Score-Based Generative Modeling through Stochastic Differential Equations
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T01:45:52.226979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5d0fae7-2019-4604-937e-e7c583db4e87 · outbound
This paper cites Ominicontrol: Minimal and universal control for diffusion transformer.
Adaptive Subspace Projection for Generative Personalization Ominicontrol: Minimal and universal control for diffusion transformer
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.487886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29d7e8fb-1f7f-4df6-9303-304147957edc · outbound
This paper cites OminiControl2: Efficient Conditioning for Diffusion Transformers.
Adaptive Subspace Projection for Generative Personalization OminiControl2: Efficient Conditioning for Diffusion Transformers
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T01:45:52.233838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6392d05f-2370-45ba-9622-1ae57b9ddd11 · outbound
This paper cites Key-locked rank one editing for text-to-image personalization.
Adaptive Subspace Projection for Generative Personalization Key-locked rank one editing for text-to-image personalization
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.481931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f14152f-834a-403a-82dd-93ee5bb7a361 · outbound
This paper cites Face0: Instantaneously conditioning a text-to-image model on a face.
Adaptive Subspace Projection for Generative Personalization Face0: Instantaneously conditioning a text-to-image model on a face
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.504919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5561746-2488-4cc2-bcc3-ac5d59c71d18 · outbound
This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.
Adaptive Subspace Projection for Generative Personalization InstantID: Zero-shot Identity-Preserving Generation in Seconds
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:02:41.552159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca536df5-0265-4e12-9644-16649bc7a2d7 · outbound
This paper cites Fastcom- poser: Tuning-free multi-subject image generation with localized attention.International Journal of Computer Vision, pages 1–20.
Adaptive Subspace Projection for Generative Personalization Fastcom- poser: Tuning-free multi-subject image generation with localized attention.International Journal of Computer Vision, pages 1–20
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.507077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68a04bc9-38cd-43bd-aef9-af9d3961095a · outbound
This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
Adaptive Subspace Projection for Generative Personalization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T01:45:52.243685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2735518c-437d-4e92-a101-e50d925c7920 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
Adaptive Subspace Projection for Generative Personalization Adding conditional control to text-to-image diffusion models
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.496335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9ac1a5b3-751b-4312-9757-c4b2c6af7845 · outbound
This paper cites EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer.
Adaptive Subspace Projection for Generative Personalization EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:52.237069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bd8aafec-bc11-47ab-b76b-f7f48be30a1d · outbound
This paper cites Quantifying structure in CLIP embeddings: A statistical framework for concept interpretation.Transactions on Machine Learning Research.
Adaptive Subspace Projection for Generative Personalization Quantifying structure in CLIP embeddings: A statistical framework for concept interpretation.Transactions on Machine Learning Research
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.479895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d47b2be-6656-4fea-9daa-fad74a3e7d49 · outbound
This paper cites Limitations.
Adaptive Subspace Projection for Generative Personalization Limitations
Reference 45
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T01:45:52.240479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1380271b-d335-439b-b0ff-242786c133e5 · outbound
This paper cites • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research.
Adaptive Subspace Projection for Generative Personalization • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T16:17:05.477848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.