Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.04838.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T06:06:23.281666Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T06:02:55.358399Z
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 6ea93c22-a709-42ca-98d4-7f9e83fff923 · inbound
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection cites this paper.
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T06:06:23.281666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a4a11cf-719c-4552-bd11-8b0ee29f84dd · inbound
IAM: Enhancing RGB-D Instance Segmentation with New Benchmarks cites this paper.
IAM: Enhancing RGB-D Instance Segmentation with New Benchmarks CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:25:48.446322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe4597f4-caeb-4483-94c4-d607ff5a5d2b · inbound
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation cites this paper.
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:38:34.177341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c6b0987-0a36-431e-b22a-0d3ba79b8a23 · inbound
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks cites this paper.
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:19:18.124005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 216c6f9a-a960-40ab-8ab1-bb0f0235fd40 · inbound
NeurNCD: Novel Class Discovery via Implicit Neural Representation cites this paper.
NeurNCD: Novel Class Discovery via Implicit Neural Representation CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T06:02:55.366395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.