Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.01920.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:43:20.868840Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 77dc4f56-eb85-490c-948d-0e441ef5d38a · inbound
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence cites this paper.
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:43:20.868840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58875b92-2d6f-4d65-b8d5-82a3ba694024 · inbound
Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model cites this paper.
Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:40:58.682028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dc191f6-aee6-4e7c-ad82-537c18805271 · inbound
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models cites this paper.
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:09:06.273983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc4a10b8-e092-4dd0-9004-4bea0ef637a1 · inbound
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Reference 265
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T23:54:45.303395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3a62c1e3-e993-404c-bba6-4ee2bc08f91c · inbound
Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation cites this paper.
Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T13:33:28.079917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.