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Paper Citation Record · LEDGER

Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.21061.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.21061 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:56:01.557264Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T11:16:50.749672Z

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 397ad592-fc89-496c-a170-2423eaa9f856 · inbound

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training cites this paper.

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T16:56:01.557264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:56:01.557264Z digest=sha256:cc9071a36fac38b5b8a5e6f70c0bcd8030d506e243f69c2d2e09a3dfbcab3f6e

Observation 441826ec-0241-42ef-aa3d-bc73883ba98c · inbound

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models cites this paper.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:50.818574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:16:42.123704Z digest=sha256:8ed61e57f6248aae3376efcd1e5afccbe727d7db133e1a767569b64786c3d246

Observation 8663fc94-1fbb-4351-8e0d-1dd38d3458bd · inbound

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis cites this paper.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:28:17.428855Z digest=sha256:0df7217067ed246981db0d8ae463cfdf4e967a7c12000f35f66c032f50f1204e