Paper Citation Record · LEDGER

Improving Zero-Shot Generalization for CLIP with Synthesized Prompts

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.07397.

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

pith.paper-citation-record.v1
2307.07397 v1

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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:42:20.609636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:16:26.851560Z

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 df2c3df4-e049-467b-8200-c7949357cb7e · inbound

Generalizing vision-language models to novel domains: A comprehensive survey cites this paper.

Generalizing vision-language models to novel domains: A comprehensive survey Improving Zero-Shot Generalization for CLIP with Synthesized Prompts

Reference 200

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:57.324745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780bd6d6-273e-40f1-973f-c71f8c620dff · inbound

AME: Aligned Manifold Entropy for Robust Vision-Language Distillation cites this paper.

AME: Aligned Manifold Entropy for Robust Vision-Language Distillation Improving Zero-Shot Generalization for CLIP with Synthesized Prompts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:20.609636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586014c2-5229-40c5-b204-2009c91114b8 · inbound

CLIP-RD: Relative Distillation for Efficient CLIP Knowledge Distillation cites this paper.

CLIP-RD: Relative Distillation for Efficient CLIP Knowledge Distillation Improving Zero-Shot Generalization for CLIP with Synthesized Prompts

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.869936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f6ce232-ec4e-4605-942a-f8c38968347d · inbound

Closed-Loop Bidirectional Prompting for Adversarial Robustness of Vision Language Models cites this paper.

Closed-Loop Bidirectional Prompting for Adversarial Robustness of Vision Language Models Improving Zero-Shot Generalization for CLIP with Synthesized Prompts

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:44:01.421468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4cbee48-621b-40a3-aee9-2b09d9c6051e · inbound

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models cites this paper.

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models Improving Zero-Shot Generalization for CLIP with Synthesized Prompts

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.853066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.