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Paper Citation Record · LEDGER

Image-text Retrieval: A Survey on Recent Research and Development

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.14713.

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

pith.paper-citation-record.v1
2203.14713 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:00:13.040800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:26:01.837110Z

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 84bb4307-1660-44c8-8125-eb2f712e35f7 · inbound

Robust image classification with multi-modal large language models cites this paper.

Robust image classification with multi-modal large language models Image-text Retrieval: A Survey on Recent Research and Development

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T16:00:13.040800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:13.040800Z digest=sha256:d6da3232f2a7a6b558199d843972596ee360a0a1e70a070b0eff5d94c157287c

Observation 5d087fea-5bdf-4c96-bd26-ace4657c33b5 · inbound

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes cites this paper.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Image-text Retrieval: A Survey on Recent Research and Development

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.444579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.444579Z digest=sha256:bf8fa29e4691046ff7bd994956e7bbd2c12de684b42ce225e38e01492fc4925d

Observation 228d746a-91a9-4857-a9b7-b081fde5c29d · inbound

Improving Adversarial Robustness of Zero-Shot CLIP with Confidence-Aware Weighting cites this paper.

Improving Adversarial Robustness of Zero-Shot CLIP with Confidence-Aware Weighting Image-text Retrieval: A Survey on Recent Research and Development

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T12:41:47.405303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:41:47.405303Z digest=sha256:a072e0dae369b1a6e6e940788083e50571ee3373f8b7fe5fa508aa21b01cbf8b

Observation 963cabc0-8e50-4e2d-af4a-362a82853614 · inbound

Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference cites this paper.

Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference Image-text Retrieval: A Survey on Recent Research and Development

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:01.840347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T16:38:00.522094Z digest=sha256:28af562bd9474abc7b2f9a180fc85a1c3786fdde2ab3dfd2ab09a68be30d9925

Observation ea4c4e2b-0556-4d3f-9fc2-60d384647fe6 · inbound

Prune Once: Retraining-Free Task-Agnostic Pruning for Vision-Language Models cites this paper.

Prune Once: Retraining-Free Task-Agnostic Pruning for Vision-Language Models Image-text Retrieval: A Survey on Recent Research and Development

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T18:47:13.931183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:47:13.931183Z digest=sha256:60a3755cf710a686e2a5eca34d3dd111a640b57c6cb7a18dea3f485cf42b8063