Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.02820.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:32:15.250967Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T05:49:40.855983Z
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 fc6845f7-13fa-47c1-833c-8c34af16ca03 · inbound
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt cites this paper.
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:53:51.176731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75cfc74d-c150-493a-8165-c7ef7faf0426 · inbound
Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models cites this paper.
Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:32:15.250967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b17d5f00-793b-4340-bcd9-747fad572c1b · 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 ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:49:40.857670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.