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Paper Citation Record · LEDGER

Image Captioning: Transforming Objects into Words

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.05963.

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

pith.paper-citation-record.v1
1906.05963 v2

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 2026-08-06T10:27:39.227854Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T14:27:59.318794Z

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 2c6c43eb-392d-4435-bb10-1af549fdd19f · inbound

From Image Captioning to Visual Storytelling cites this paper.

From Image Captioning to Visual Storytelling Image Captioning: Transforming Objects into Words

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T10:27:39.227854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:27:39.227854Z digest=sha256:952ee7e663fe2a802a9605eb5cbbcd92e82288ef4bd465034066bda2661d33ef

Observation 4df375a0-89a2-4bb1-8822-9771c65e270e · inbound

Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain cites this paper.

Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain Image Captioning: Transforming Objects into Words

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:27:59.320981Z

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=2026-05-16T14:26:08.188950Z digest=sha256:fa3c1f21b352589dd3d6eefd61f71ec139f90c24c7ee3893541248d2db229b59