Paper Citation Record · LEDGER

Contrastive vision-language learning with paraphrasing and negation

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2511.16527.

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

pith.paper-citation-record.v1
2511.16527 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:09:39.172139Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 522cd0ae-39d2-4586-b492-f40362367fd8 · outbound

This paper cites SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.

Contrastive vision-language learning with paraphrasing and negation SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.144310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6624439-ad1d-4a76-a568-75808baedd31 · outbound

This paper cites Modeling Caption Diversity in Contrastive Vision-Language Pretraining.

Contrastive vision-language learning with paraphrasing and negation Modeling Caption Diversity in Contrastive Vision-Language Pretraining

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.539074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beff9099-4641-4635-be9e-6cb34a6ed9b1 · outbound

This paper cites Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations.

Contrastive vision-language learning with paraphrasing and negation Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.806868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7849b73-2840-4e4a-a39d-98d78d63ae77 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Contrastive vision-language learning with paraphrasing and negation Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.915404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d63db69-504d-4b73-8607-876920c5a93b · outbound

This paper cites doi: 10.3389/fpsyg.2023.

Contrastive vision-language learning with paraphrasing and negation doi: 10.3389/fpsyg.2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.980711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac79f28-4979-4612-8ae4-10343a704e77 · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

Contrastive vision-language learning with paraphrasing and negation When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.983791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00aee8d-dc54-48d6-8689-15e0bfb3a155 · outbound

This paper cites DreamLIP: Language-Image Pre-training with Long Captions.

Contrastive vision-language learning with paraphrasing and negation DreamLIP: Language-Image Pre-training with Long Captions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:39.055252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc52de7-abc4-4b31-9597-e1e1d6d5d266 · outbound

This paper cites (b) Effect of setting the number of projection vectors on Top-1 accuracy using paraphrased caption for image matching.

Contrastive vision-language learning with paraphrasing and negation (b) Effect of setting the number of projection vectors on Top-1 accuracy using paraphrased caption for image matching

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:39.172139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a739a6-a7d3-4a38-a1ff-4c85af4ecd55 · outbound

This paper cites Technical Report, CIFAR-10 and CIFAR-100 datasets.

Contrastive vision-language learning with paraphrasing and negation Technical Report, CIFAR-10 and CIFAR-100 datasets

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.447128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b518c03e-8ebb-4cd7-adc7-fcd484e5c484 · outbound

This paper cites Towards a Definition of Disentangled Representations.

Contrastive vision-language learning with paraphrasing and negation Towards a Definition of Disentangled Representations

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:37.980521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7217013-f6fc-40c6-8f65-02bf0c19fabb · outbound

This paper cites an unresolved cited work.

Contrastive vision-language learning with paraphrasing and negation Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.303578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ba2cce1-44b2-472e-aaeb-52a86ab39ada · outbound

This paper cites Decoupled Weight Decay Regularization.

Contrastive vision-language learning with paraphrasing and negation Decoupled Weight Decay Regularization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.691533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee264ae8-0f3d-47e4-96bb-2c3e12725e34 · outbound

This paper cites Improving CLIP Training with Language Rewrites.

Contrastive vision-language learning with paraphrasing and negation Improving CLIP Training with Language Rewrites

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:37.868345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c81c33-2776-44a5-8864-3eb9e92e8363 · outbound

This paper cites Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.

Contrastive vision-language learning with paraphrasing and negation Fine-tuning CLIP Text Encoders with Two-step Paraphrasing

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:38.394630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.