Paper Citation Record · LEDGER

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.16828.

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

pith.paper-citation-record.v1
2411.16828 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 2026-08-06T06:34:29.942622+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:59:19.577024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.707139Z

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 f876f1b0-ae10-46cd-b18b-7130a3aece66 · inbound

MobileCLIP2: Improving Multi-Modal Reinforced Training cites this paper.

MobileCLIP2: Improving Multi-Modal Reinforced Training CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:19.577024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd5172db-a689-4111-ae86-087c771bf7ab · inbound

OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning cites this paper.

OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T12:22:35.606923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7bbdb0-2b4d-4391-9dce-876277e74df8 · inbound

Let ViT Speak: Generative Language-Image Pre-training cites this paper.

Let ViT Speak: Generative Language-Image Pre-training CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:07.255186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e7a00b24-9bbb-4774-a8e9-96d0caa49fbf · inbound

Let ViT Speak: Generative Language-Image Pre-training cites this paper.

Let ViT Speak: Generative Language-Image Pre-training CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:35:28.764723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c35d4c3c-47fc-4f60-bc6e-2dff7871274c · inbound

Investigating Adversarial Robustness of Multi-modal Large Language Models cites this paper.

Investigating Adversarial Robustness of Multi-modal Large Language Models CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:27.577528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 66670d96-e570-4654-bdfa-0efce984068c · 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 CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.830996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 46823c8a-a6ee-4e93-945b-adc5fa8d4ea2 · inbound

ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP cites this paper.

ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:50.708849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.