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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:02:37.240837Z

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 6706fcdb-20f7-4a7f-92e2-b3d6e59969e0 · inbound

Point Cloud Understanding via Attention-Driven Contrastive Learning cites this paper.

Point Cloud Understanding via Attention-Driven Contrastive Learning PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.500659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.500659Z digest=sha256:565e91382141072247d45e3d3474b8752846bfacb74bf21833f5c4a86ea08337

Observation 445bd4fe-8084-4de5-b4a7-40093416b774 · inbound

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition cites this paper.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T06:02:37.240837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:02:37.240837Z digest=sha256:9947a9287433d65eef44440cc41aa523b24e1f4b292609f1b6cc2452c1033883

Observation 2232e9f4-0f3a-4675-ae2b-fc3ab8f38ed9 · inbound

Efficient LiDAR Reflectance Compression via Scanning Serialization cites this paper.

Efficient LiDAR Reflectance Compression via Scanning Serialization PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:38:40.190824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:38:40.190824Z digest=sha256:9142a326683d8a507c2ba0d5d734a0be466310da16144afc6ec48fa5cfb84c8d

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=sha256:31fcfc4f2146b46a2555ab908551320c6f776b1686998e5a2171f051675d0829

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:ffa27c6f33d3655d85d8a6e0eda14a9609aa33389e0538d581c4f4f273eb6b8c

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=sha256:67e1487fdba4e46889c544606149465c6320f177e9fa7c65dcbf439a795114c7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T14:19:41.943015Z digest=sha256:6481a0030bb23fde21428be2cb66d552cc30a15fe8ead29511a522baed36dd4c