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Paper Citation Record · LEDGER

NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.00151.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.00151 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:59.668993Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T14:04:42.947460Z

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 61474d01-7a16-4996-9b52-af9784f6ee83 · inbound

A Survey on Mamba Architecture for Vision Applications cites this paper.

A Survey on Mamba Architecture for Vision Applications NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-08T13:40:59.668993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:40:59.668993Z digest=sha256:f45388f796f798f4c69fc6e22aa95c294d3488525c654047d3d0197852c72f13

Observation 1428fb9b-42b2-4fa2-911e-259000159f7c · inbound

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning cites this paper.

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:04:42.953490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:04:41.537623Z digest=sha256:fd3e6392e988372cd00f11011ca4eb8969209ed471e66d6527ecf4fc270079e0