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Paper Citation Record · LEDGER

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.01832.

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

pith.paper-citation-record.v1
2402.01832 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:11.939212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:48:12.685530Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 533042dc-19f2-473e-b73a-4ff3112f0ca8 · inbound

Detecting Human Artifacts from Text-to-Image Models cites this paper.

Detecting Human Artifacts from Text-to-Image Models SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:54:23.943323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:54:23.943323Z digest=sha256:c99918d8a0b455fed2d3e7dd99d6d3a8b33b3ec0b497ae453cc252be39df5924

Observation c0e496eb-6e35-46fc-8f0d-99aa2501f4af · inbound

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions cites this paper.

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T12:57:11.786071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:57:11.786071Z digest=sha256:2fdeeb50226e2633beb132b2b81ab126641db1c0daf0bfab3b638cf7da949191

Observation 52124baa-6b8b-42e8-b189-139e8a6fbad9 · inbound

FLAIR: VLM with Fine-grained Language-informed Image Representations cites this paper.

FLAIR: VLM with Fine-grained Language-informed Image Representations SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T22:19:06.677484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:19:06.677484Z digest=sha256:01272884bf7370a7a6ca0e7fcf8a50e1c3357023afbfea6f70f3a2d27d12071d

Observation d8389e0c-e372-4135-ac8b-baa433e4e47c · inbound

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities cites this paper.

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:59:08.758322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:59:08.758322Z digest=sha256:8fa74c5a8892bf2ecd3a11aa66ee08a671541a8f91a14741aa58775cb5813ba8

Observation 6ad3e1d3-2a2b-4509-be2f-5b1e12a3db5e · inbound

Vision-Language Models Do Not Understand Negation cites this paper.

Vision-Language Models Do Not Understand Negation SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:46.086165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:46.086165Z digest=sha256:d1109d1a2e5e212904d0b9ca91dcb6756512f14429da492b5b9bf8d7fbb50ba0

Observation 283a3990-1b58-48a9-b4ec-aacb7867103f · inbound

Text to Image Generation and Editing: A Survey cites this paper.

Text to Image Generation and Editing: A Survey SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T00:53:11.939212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:11.939212Z digest=sha256:04352651d58ca86a124cecf3dcb69585c0a610a49f827618f4454c74b3dd865f

Observation ad1547ba-d7d5-4064-8d4f-818eb3ad9b28 · inbound

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data cites this paper.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:42.098029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:42.098029Z digest=sha256:36fac8c164ed56f95cc0220559050cb2d504c8cd3528ae606084cdd4180e89f3

Observation f189a9a1-a2f0-40c3-a29b-22b4c06021fe · inbound

LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance cites this paper.

LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:04.823604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:04.823604Z digest=sha256:cf951a5e6eedf532c4ce0051b849aca24f4056695f2e9a7845c5b76e190afb91

Observation f37346fa-c5ac-44bc-a306-54ab2c5f6b8a · inbound

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text cites this paper.

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T17:47:52.167649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:47:52.167649Z digest=sha256:3bcfcdc76942b2edef9a3b32aa9c6eb4976ce45fdad18a4f8c857d96697c2a7f

Observation a64db165-4b06-40ab-9da7-53b8db24df41 · inbound

LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning cites this paper.

LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T16:26:35.118609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:26:35.118609Z digest=sha256:063a852fc655a8694cb422c13fce21969d4f15613f81da75b940129c1f1868d7

Observation 5f3c9538-f74d-4d05-9f59-31ead1a057f0 · 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 SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T18:16:07.549980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:16:07.549980Z digest=sha256:6b06ca7e0cec9b8fae5f8963ae140a9ca9e766cb777cb718bffa73bd449d0347

Observation 12f769d8-6a91-41b1-a6d5-849af14f027a · inbound

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

MobileCLIP2: Improving Multi-Modal Reinforced Training SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T14:59:19.534128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:59:19.534128Z digest=sha256:ac3c4d6382450247ea818e1f5bc2b5c21dd1e01e8e50c35790742e878a119b59

Observation 1d2997d0-b020-4c3b-aa80-20b27da50999 · inbound

Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging cites this paper.

Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:48:12.687472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T10:47:38.553051Z digest=sha256:9d98a04a5f0122fef365ce602d0ec39be843672b6931c9b66cca3ef5e20a5457

Observation aa85cf8d-ae67-46d6-a24b-86508a331053 · inbound

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting cites this paper.

Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-12T08:12:18.373103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:12:18.373103Z digest=sha256:680d20f38ea9ec206a4f36b94fb12e863fa2e643d6c9dda685514903cd35ef8a

Observation b8cba59d-ac8a-488c-aace-88a105b6e8b3 · inbound

Layering Virtual Try-On cites this paper.

Layering Virtual Try-On SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T04:11:50.033852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:11:50.033852Z digest=sha256:2dfaffdac883f4431e83121d4c01126716fd71b02f191df72a1f1fc93a27ba80

Observation 676a826c-444a-4a82-92ff-51bf0dcb583b · inbound

Poplar: A Scalable Pipeline for Human-Centric Image Dataset Synthesis cites this paper.

Poplar: A Scalable Pipeline for Human-Centric Image Dataset Synthesis SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T01:00:04.332094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T01:00:04.332094Z digest=sha256:fda3e0426e7b22b05443e2b6ea7d8edd89ecbc6b455c67eaf89fc151960b541e