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Paper Citation Record · LEDGER

PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.15463.

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

pith.paper-citation-record.v1
2405.15463 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:51:58.110217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:22:23.983805Z

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 6cdd6186-d78a-4fba-8888-cf116c13b917 · inbound

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition cites this paper.

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T21:51:58.110217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:51:58.110217Z digest=sha256:76478c2f5cb8d77e72835cee870436c9926d1f0e525ab19cdd680011a4e3c137

Observation 7ec61c39-f549-4ccd-9019-6af85e3a6fdf · inbound

PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining cites this paper.

PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:41.956000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:56:41.956000Z digest=sha256:39527369dcfcf791273f4d043fe736989c4ce2c72b5f8cb2da541ec69c1a8473

Observation 55cce52b-3937-43c8-b010-98d18c45257e · 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 PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T14:04:42.663430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:04:42.663430Z digest=sha256:4bbb676301902c287d62e107867e5e241cabac32591f26b7f39faa7195fc5f01

Observation 1e0c80e3-2d53-40b2-8554-c32b0cd8dc83 · inbound

3DTMDet: A Dual-Path Synergy Network of Transformer and SSM for 3D Object Detection in Point Clouds cites this paper.

3DTMDet: A Dual-Path Synergy Network of Transformer and SSM for 3D Object Detection in Point Clouds PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:22:23.985959Z

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.

source=pdf_text observed=2026-05-19T14:19:41.943015Z digest=sha256:ba6a984dabfc6a494ed0cbf1ca8ab474eac8d694597b0e6a5842956a30fa1d71