Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.05397.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:27:39.296948Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T05:51:40.265612Z
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 a55f8240-c33f-42b8-90ee-41feb1ad576f · inbound
RoadFormer : Local-Global Feature Fusion for Road Surface Classification in Autonomous Driving cites this paper.
RoadFormer : Local-Global Feature Fusion for Road Surface Classification in Autonomous Driving PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:27:39.296948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c58d619-fa09-4df1-acd4-c5e46cbe665b · inbound
RoadMamba: A Dual Branch Visual State Space Model for Road Surface Classification cites this paper.
RoadMamba: A Dual Branch Visual State Space Model for Road Surface Classification PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T05:51:40.271616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 773b9fe2-9013-4e7a-b5a8-2605a453127b · inbound
Defer to Plan: Adaptive Multi-Agent Fusion for End-to-End V2X Driving cites this paper.
Defer to Plan: Adaptive Multi-Agent Fusion for End-to-End V2X Driving PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:47:31.524034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.