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Paper Citation Record · LEDGER

InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.10592.

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

pith.paper-citation-record.v1
2407.10592 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:21:04.433049Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:58:52.709413Z

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 e3052f73-5d80-4de0-ac5c-851cf26bdbc4 · inbound

CTR-Driven Advertising Image Generation with Multimodal Large Language Models cites this paper.

CTR-Driven Advertising Image Generation with Multimodal Large Language Models InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T10:21:04.433049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:21:04.433049Z digest=sha256:1165d84674a5cf5b1d62851e903db6defcc4a13506627bf61813ee48eb6faf32

Observation 8810cb6c-aeca-4cd0-bde8-f463da28f2e2 · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:58:52.802384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:58:47.544091Z digest=sha256:12646cd82a7d707a50745026bbcdbc16a83d58898ad137aa38de7b224d6e9237