Paper Citation Record · LEDGER

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2307.12980.

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

pith.paper-citation-record.v1
2307.12980 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:22:03.719205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 2fd5c4a3-f0f8-4472-b0af-28b870ad8721 · inbound

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cites this paper.

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:16.526928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbdf9168-c7a5-47e5-81e3-ca9122ddf634 · inbound

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds cites this paper.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:03.719205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66fad044-bbab-42a8-bb45-6fae5efdc267 · inbound

AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models cites this paper.

AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T00:24:38.922212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c436a8-ec59-4ec4-9f7c-4f762a8b5f5f · inbound

Are vision-language models ready to zero-shot replace supervised classification models in agriculture? cites this paper.

Are vision-language models ready to zero-shot replace supervised classification models in agriculture? A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:18:32.283981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8fafcd6a-d497-4509-98ef-931aa2a2a01b · inbound

Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection cites this paper.

Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:35:57.219371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf9950a2-3e3e-40d7-b85a-7b2b6288e9c7 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:38:21.886516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f3cf654-188c-4da7-8cb4-4d8c14fd32b8 · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 176

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:20.409821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da5629af-2778-4f7e-9875-4d730b62fbeb · inbound

EPIG: Emotion-Based Prompting for Personalised Image Generation cites this paper.

EPIG: Emotion-Based Prompting for Personalised Image Generation A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:48:32.999944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29510b11-2cee-45ee-927b-eff60a3f63ee · inbound

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models cites this paper.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:05:42.782901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7cda6a1-eada-4c41-8416-e152951f0bc6 · inbound

Visual prompt engineering for video models cites this paper.

Visual prompt engineering for video models A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:12.198478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.