Paper Citation Record · LEDGER

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2506.18322.

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

pith.paper-citation-record.v1
2506.18322 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:58:54.579795Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:30:21.543618Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.450680Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy4
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bf6cf84-4849-4e40-9d84-eea28b1f212f · outbound

This paper cites Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.368017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31fab222-b0c1-413a-b13d-7feccf78704e · outbound

This paper cites GPT-4 Technical Report.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? GPT-4 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.449667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b784bb77-9a84-4654-bc40-d0ca5a8ce6c3 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.455462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855b9abb-8e22-4b3f-9dcd-39ba3074bda7 · outbound

This paper cites a model with good accuracy on SpuriVerse can be free from all 18 potential spurious correlation attacks,.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? a model with good accuracy on SpuriVerse can be free from all 18 potential spurious correlation attacks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:55.450034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3cd11355-5b3e-4731-8657-f52cea745d8f · outbound

This paper cites InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:58:55.028244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90d699b8-6fee-497e-89e6-65a745497fec · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? A broad-coverage challenge corpus for sentence understanding through inference

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:55.575615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2245fd5-a527-4a3b-a0f4-0845cb7246bf · outbound

This paper cites doi: 10.18653/v1/N18-1101.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? doi: 10.18653/v1/N18-1101

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.491054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e176dbc4-1539-4749-9b6f-5e6cdbd8ed92 · outbound

This paper cites doi: 10.18653/v1/2020.emnlp-demos.6.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? doi: 10.18653/v1/2020.emnlp-demos.6

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.504982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60510972-e1fb-40a5-90fe-31b85fc5636c · outbound

This paper cites MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.511291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f726afde-941e-47cf-a7f6-2b7919cebc2f · outbound

This paper cites Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.536979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14f879da-6f2f-4fdb-8cc8-43bc0fab2bb2 · outbound

This paper cites In step 5, annotators can take a peek at models’ evaluations on one image for spurious group and one image for core group.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? In step 5, annotators can take a peek at models’ evaluations on one image for spurious group and one image for core group

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:55.535115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64c24c06-638f-4ad6-bb81-cedcce382193 · outbound

This paper cites gpt-4o-2024-08-06.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? gpt-4o-2024-08-06

Reference 300

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:55.484975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81247ae8-1a95-4077-bbf9-1505d8941fb9 · outbound

This paper cites Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.438372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c349d1d4-7728-4229-bf50-0df07fc203e4 · outbound

This paper cites NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.427818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641910a1-5d41-402f-94df-8a1345334d05 · outbound

This paper cites The Llama 3 Herd of Models.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? The Llama 3 Herd of Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.357182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea872e1c-5799-4aad-b839-c97853e681e6 · outbound

This paper cites Feature-Wise Bias Amplification.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Feature-Wise Bias Amplification

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.398602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e472d25-5b37-43f6-b41a-62b933d5d8d5 · outbound

This paper cites Salient ImageNet: How to discover spurious features in Deep Learning?.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.461506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a37e412-6655-4f46-bc97-b2dd1a3f73e6 · outbound

This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.380305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c447fa22-ad20-4967-b92f-20ebecca889e · outbound

This paper cites Invariant Risk Minimization.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Invariant Risk Minimization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.343518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0acd0f49-0a18-42e0-9b14-57c4c91d5a78 · outbound

This paper cites Mm-spubench: Towards better understanding of spurious biases in multimodal llms.

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? Mm-spubench: Towards better understanding of spurious biases in multimodal llms

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:54.528543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ca2cba0c-ad4e-44e1-910b-bb26d0b5fab7 · inbound

Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates cites this paper.

Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:32:47.008271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6acf9fcc-4b25-4d09-a183-982018452df9 · inbound

Can AI Agents Synthesize Scientific Conclusions? cites this paper.

Can AI Agents Synthesize Scientific Conclusions? Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:41.452196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.