Paper Citation Record · LEDGER

NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.20081.

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

pith.paper-citation-record.v1
2405.20081 v2

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:05.380471Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:35:32.532561Z

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 fa113eba-7ed1-415b-8f0d-49af9320eeb5 · inbound

Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models cites this paper.

Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:05.380471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2af1cecf-4d32-4481-8162-a3870709fc35 · inbound

Learning to Insert [PAUSE] Tokens for Better Reasoning cites this paper.

Learning to Insert [PAUSE] Tokens for Better Reasoning NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:20.768348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6e6e962-4f35-4937-9896-fd6f3a2d7c36 · inbound

Mitigating Object Hallucinations via Sentence-Level Early Intervention cites this paper.

Mitigating Object Hallucinations via Sentence-Level Early Intervention NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:35:32.536064Z

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 41466627-7ff3-4c49-9a84-0f311c35f6b6 · inbound

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring cites this paper.

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T21:14:37.409500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e4a3628-e434-4cf6-926b-753cdc8087ff · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-05T20:29:03.623746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d20a240-4ea1-48d8-b90b-5cc4b2d6fdd1 · inbound

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination cites this paper.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.148985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.