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Paper Citation Record · LEDGER

Advanced Multimodal Deep Learning Architecture for Image-Text Matching

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.15306.

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

pith.paper-citation-record.v1
2406.15306 v1

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 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:29:34.962587Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

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 84e408d6-aba9-4656-aff9-84ee0bb82e34 · inbound

True Multimodal In-Context Learning Needs Attention to the Visual Context cites this paper.

True Multimodal In-Context Learning Needs Attention to the Visual Context Advanced Multimodal Deep Learning Architecture for Image-Text Matching

Reference 2017

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:29:36.122777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:29:34.962587Z digest=sha256:a05db2865aca5dfde8539edac7dfbf76809b088a22c284b7db096d36aac1fdb3