Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.13576.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T05:51:29.839498Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:49:52.765144Z
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 ee3fee2d-43b8-4bb5-9461-141dbb0aacb6 · inbound
Adversarial Concept Distillation for One-Step Diffusion Personalization cites this paper.
Adversarial Concept Distillation for One-Step Diffusion Personalization A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:50:53.732584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 419336f3-d783-4086-9d6f-0458d4e164f9 · inbound
Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration cites this paper.
Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:48:01.941395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2b6713c6-cf25-44fb-844d-6e9113738ce9 · inbound
Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization cites this paper.
Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:49:52.766616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.