Paper Citation Record · LEDGER

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.14610.

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

pith.paper-citation-record.v1
2306.14610 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:24:06.603506Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:56:58.647284Z

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 74179b86-648b-4da6-a344-f76e81323af5 · inbound

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features cites this paper.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:06.603506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0060447-4d6b-4c67-8e6a-30e88791c6a8 · inbound

Probing Visual Language Priors in VLMs cites this paper.

Probing Visual Language Priors in VLMs SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:55:53.955161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc3f413-2d1c-4967-bc9a-32acf0820737 · inbound

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models cites this paper.

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:36.645985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c76699-badc-4c7e-861a-fd81a78130c5 · inbound

Activation Reward Models for Few-Shot Model Alignment cites this paper.

Activation Reward Models for Few-Shot Model Alignment SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:42.387975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 652ff9ad-cacb-4aab-8656-cf86cf84fc2e · inbound

LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model cites this paper.

LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:56:58.869947Z

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 522cd0ae-39d2-4586-b492-f40362367fd8 · inbound

Contrastive vision-language learning with paraphrasing and negation cites this paper.

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.