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Paper Citation Record · LEDGER

Neural Language Modeling with Visual Features

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.02930.

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

pith.paper-citation-record.v1
1903.02930 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:37:09.433589Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T04:07:36.623084Z

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 c0a55738-256c-46d9-b4c3-c102a946fd81 · inbound

Cloud Removal With PolSAR-Optical Data Fusion Using A Two-Flow Residual Network cites this paper.

Cloud Removal With PolSAR-Optical Data Fusion Using A Two-Flow Residual Network Neural Language Modeling with Visual Features

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T20:37:09.433589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:37:09.433589Z digest=sha256:f6373285b039352095928fc99867d562743cfb01863c64e09bbf036756365af3

Observation 51ab9160-d0dc-4f83-b024-b773a66ef88c · inbound

Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems cites this paper.

Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems Neural Language Modeling with Visual Features

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:07:36.624338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T14:14:50.580212Z digest=sha256:8d05e9ed27ad06b895b2c34904040cd75cb71e8a2a1ee73c4fcf3d9ce8e354d3