Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.19832.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:30.429061Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:55:51.421053Z
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 e96aa0d6-a8d8-4a61-93e2-893e0ebf5bcc · inbound
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations cites this paper.
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:22:30.429061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5b6912c-5699-435d-a371-b220005b93d5 · inbound
Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation cites this paper.
Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:44:38.400868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e26b957d-bf35-4c38-b45d-d2e1d25cbbc1 · inbound
scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection cites this paper.
scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2
Reference 48
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T22:55:51.428204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.