Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
$\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.05195.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:48:34.424437Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T04:50:53.718695Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5ffda3e5-f2de-4fe0-9615-ebf98a369428 · inbound
Create Anything Anywhere: Layout-Controllable Personalized Diffusion Model for Multiple Subjects cites this paper.
Create Anything Anywhere: Layout-Controllable Personalized Diffusion Model for Multiple Subjects $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:48:34.424437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78b6e725-50ff-4309-9ec8-a22a874add6c · inbound
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions cites this paper.
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:07:56.695869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c31e1eb-ea3a-4111-9035-2c7dd7cfa1e7 · inbound
FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers cites this paper.
FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:42:23.802400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b52972a0-4bde-4819-a06a-431451a80a08 · inbound
FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy cites this paper.
FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:37:20.604445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe871915-b300-4f51-a3b5-078d451ed977 · inbound
Adversarial Concept Distillation for One-Step Diffusion Personalization cites this paper.
Adversarial Concept Distillation for One-Step Diffusion Personalization $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:50:53.722089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c23138b0-7727-434b-8d86-6e8feeed71bf · 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 $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T15:20:08.955694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation da6fbfad-d7b5-4c26-83b0-985137fde135 · 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 $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T12:51:20.969593Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f69048a-827b-4f4d-9e0d-474490cd32e2 · inbound
Graph-PiT: Enhancing Structural Coherence in Part-Based Image Synthesis via Graph Priors cites this paper.
Graph-PiT: Enhancing Structural Coherence in Part-Based Image Synthesis via Graph Priors $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:25:52.905786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.