Paper Citation Record · LEDGER

R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.05474.

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

pith.paper-citation-record.v1
2410.05474 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 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:41:50.267226Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:27:09.551181Z

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 2ca04758-5880-4768-bc31-d33b41752f81 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

Reference 126

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:23:58.082576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cde53698-b607-4154-bbb3-3f3c3d1803a7 · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:41:08.340531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 02dc0375-8d46-4c80-8eb5-7e0a5082a5e2 · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:59.163351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ba20ea9-9552-4636-9f19-74ed46c7826a · inbound

Diagnosing Corruption-Induced Reliability Failures in Vision-Language Models cites this paper.

Diagnosing Corruption-Induced Reliability Failures in Vision-Language Models R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T20:41:50.267226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc7c2a3-0ec7-4a45-8e3f-2cfe4dd738ce · inbound

CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models cites this paper.

CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:53.452934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46d1104a-4aac-45e2-8efa-f88e61d4e11b · inbound

What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction cites this paper.

What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.552505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.