Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2302.13848.
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 2026-08-07T12:53:28.602302Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T08:15:33.740930Z
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 59638623-0b99-4598-87f9-53b98ec51a93 · inbound
InstantID: Zero-shot Identity-Preserving Generation in Seconds cites this paper.
InstantID: Zero-shot Identity-Preserving Generation in Seconds ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T21:02:41.479856Z
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 ea9ec3d0-297b-4b4d-aa43-3003e885faa9 · inbound
SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation cites this paper.
SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:37:44.687479Z
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 648dc1a1-1a9c-4e34-9a3f-2583a7f3dbe5 · inbound
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis cites this paper.
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:53:28.602302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78dd465b-dc7f-43a5-8e14-ee443a0b0e8b · inbound
Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models cites this paper.
Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:05:22.824038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02bda76d-e424-4691-969f-c0f4595b5dd1 · inbound
SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation cites this paper.
SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:02:10.375261Z
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 b423358a-2ed6-4ab7-b5d2-9d8f889729f1 · inbound
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries cites this paper.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.744173Z
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 0e8bbf22-ba05-4b4d-9ada-d4ee2c5d2f5a · inbound
Story2Board: A Training-Free Approach for Expressive Storyboard Generation cites this paper.
Story2Board: A Training-Free Approach for Expressive Storyboard Generation ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:44:09.318239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a602dc1d-904b-4d58-b7d0-4b2ba2872fe5 · inbound
LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization cites this paper.
LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:08:04.432693Z
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 b0b03caf-83d0-48ad-bdef-57cb6a70bb11 · inbound
AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models cites this paper.
AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:49:40.851674Z
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.