Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.13321.
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 2026-08-06T01:00:27.854810Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:33:34.016205Z
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 c4e5451e-7673-42c1-9885-0a03bcd41ced · inbound
Hallucination of Multimodal Large Language Models: A Survey cites this paper.
Hallucination of Multimodal Large Language Models: A Survey Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Reference 125
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:33:34.018599Z
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 5899463a-22ef-450b-855c-a2357d4e11d8 · inbound
Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability cites this paper.
Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T01:00:27.854810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef104678-57e4-40fd-afc8-47d77a6c51c0 · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Reference 207
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:29:03.806507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8117fa5c-6801-4783-9d2a-43967664a79a · inbound
Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation cites this paper.
Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:14:36.541664Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c22f7f1-9d17-4162-a69a-64ddf896879b · inbound
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation cites this paper.
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:51:03.752279Z
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.