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Paper Citation Record · LEDGER

Personalized Image Generation with Large Multimodal Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.14170.

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

pith.paper-citation-record.v1
2410.14170 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:42.402870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:46:42.496134Z

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 0816b072-679b-4190-b9ae-bb06b7a2a839 · inbound

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition cites this paper.

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition Personalized Image Generation with Large Multimodal Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:46:42.502896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:46:42.402870Z digest=sha256:32f5fd1a680bf727c966d7e16362bb8976014c52673c25a47f9510b0e270e35d