Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.02708.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:15.595372Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:32:32.879670Z
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 39af233b-28d3-4321-9a0c-8b8150e026ee · inbound
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.882937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cf6157e3-2cc1-46d2-888f-4ccbfdabb193 · inbound
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:39:15.595372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41d1dc5a-5c54-40a3-8a90-a5bb7ca5af7e · inbound
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:43:20.647734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd223b7f-47ca-4f04-affd-406f54ece39b · inbound
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications cites this paper.
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:39:48.666916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fccabe8-62ec-49e7-9740-432253ae03b5 · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T19:54:20.272653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c3aa601-a6ba-4775-8c6a-008692f7fa16 · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:43:58.953977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.