Paper Citation Record · LEDGER

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2303.03032.

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

pith.paper-citation-record.v1
2303.03032 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:16:07.720104Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T08:17:36.076321Z

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 a6ef1573-ff90-4843-9aa7-833e60eea867 · 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 DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.526672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1cca45-c804-4898-b714-2d95db06f8fb · inbound

Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion cites this paper.

Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T23:05:28.234921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3cf38c3-8ab4-4564-a073-ecfa94bc2e4d · inbound

SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning cites this paper.

SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:16:07.720104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 595c1f83-64b7-42a6-964d-d3cca0d664e4 · inbound

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models cites this paper.

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:17:36.078684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd169e64-7a85-4eca-92d5-393f38332884 · inbound

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models cites this paper.

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T05:34:27.725279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6dcdb4-4bb6-4e7d-a7c0-1c0228e18b38 · inbound

Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding? cites this paper.

Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding? DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T17:26:11.883749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f533bef9-e475-42cf-936d-a43eb374ae32 · 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 DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T12:10:17.379818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.