Paper Citation Record · LEDGER

Benchmarking Large Multimodal Models against Common Corruptions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.11943.

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

pith.paper-citation-record.v1
2401.11943 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:36:40.527115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:19:50.433054Z

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 bc5d333c-ccbf-4d9b-b48d-3b3e360822cd · inbound

Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists? cites this paper.

Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists? Benchmarking Large Multimodal Models against Common Corruptions

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:40.527115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3521bc-999c-4dde-8954-3a834d17564d · inbound

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship cites this paper.

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship Benchmarking Large Multimodal Models against Common Corruptions

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.607913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26517c6e-f81a-43aa-95a6-ff49946f9574 · inbound

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification cites this paper.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Benchmarking Large Multimodal Models against Common Corruptions

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.267389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95b87d7f-8465-4a53-9e5f-9842a539f7c6 · inbound

Confidence-Aware Tool Orchestration for Robust Video Understanding cites this paper.

Confidence-Aware Tool Orchestration for Robust Video Understanding Benchmarking Large Multimodal Models against Common Corruptions

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:50.434463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46df1002-965e-4be4-9f7f-53dda6f2cdd3 · inbound

Can Multimodal Large Language Models Understand OCT? cites this paper.

Can Multimodal Large Language Models Understand OCT? Benchmarking Large Multimodal Models against Common Corruptions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T20:30:24.238065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.