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Paper Citation Record · LEDGER

From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.13273.

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

pith.paper-citation-record.v1
2304.13273 v3

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:10:17.475874Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T18:11:56.394541Z

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 5564bba4-21b8-4a19-9800-9fd834cb580c · inbound

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey cites this paper.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:11:56.400451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:11:54.531612Z digest=sha256:7903c8ac4b7ce2d56aeaa2cf332818a51cf5beda2bd2ad9f5bb44e663d8264ee

Observation 45b26696-9dfd-472a-bc6e-f1d27156b202 · inbound

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning cites this paper.

Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T12:10:17.475874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:10:17.475874Z digest=sha256:f566cbb88ba557376148e469af2cceca5f7bbe09f79b090bd23b1ca47e82d9f5