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Paper Citation Record · LEDGER

Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2305.14018.

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

pith.paper-citation-record.v1
2305.14018 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:16.939153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:19:46.696789Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 1fda6fd4-fa46-4362-bd4b-dd03275021ff · inbound

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection cites this paper.

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T04:27:27.293694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:27:27.293694Z digest=sha256:919b7d80c3c009b188870676a209ed25b47643fe25f7b9456e815ff4a83f0515

Observation 28124ede-7b4d-4759-96f8-53292b46239c · inbound

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation cites this paper.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.371834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.371834Z digest=sha256:2fdaa509d03434c336de02e4b30d84561dba5c98535644b632fffbe610c5a0ff

Observation 2dc9385c-1d42-4393-9061-8b93ca95f003 · inbound

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction cites this paper.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T12:24:16.939153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:24:16.939153Z digest=sha256:1142496f9d736dede73def8cbca1f056138b53aa1a8cce2d3499a08d9cf139d3

Observation bbb94859-2408-47d1-b74c-d39fbcef6e5e · inbound

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction cites this paper.

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:42.184181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:42.184181Z digest=sha256:9780556f22a48146b9e1011ce18d3e436cd10908338aa9e25d33e4637dcb5b0b

Observation 71262ffe-2505-487d-ae8a-3456c748107b · inbound

DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos cites this paper.

DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:23.707571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:35:23.707571Z digest=sha256:822e0ea83dafcaaa6ca06af13703f620d71734a392b33881a1a8c2bb69351a0e

Observation dbd7e775-7366-457e-b201-68788dc587c4 · inbound

A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects cites this paper.

A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T18:27:59.445435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:27:59.445435Z digest=sha256:fd4938745796b9df59fe95fb73172f18504bf3a3036ff167ebd65f7639d21de2

Observation f74be71b-950a-4892-99a5-6ea0a36a8be1 · inbound

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection cites this paper.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:11.510879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:11.510879Z digest=sha256:6e96c3f4c5ed1c98ba78ede15f8b85de62518827d46b95d418139915083f6619

Observation 8ae4f680-8bec-491e-985f-a27f5a7c057c · inbound

MambaMap: Online Vectorized HD Map Construction using State Space Model cites this paper.

MambaMap: Online Vectorized HD Map Construction using State Space Model Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:40.588558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:40.588558Z digest=sha256:c6b0bc4d2caa136f9f6b9b8bb019fc8836bb28ddf220f33461947299de01d46f

Observation 1744bc49-8333-43ea-9f72-e6c857f10f9e · inbound

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale cites this paper.

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:03:25.199370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T22:59:57.744015Z digest=sha256:5b95fb68cb48dd5af7339395cdcc5032a1adf8ddcc2178acdba3f1a6e8c60a29

Observation c45000f8-ec61-4b55-af3d-f662d89a803e · inbound

Kerr-Schild Double Copy of the Randall-Sundrum Black String cites this paper.

Kerr-Schild Double Copy of the Randall-Sundrum Black String Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-15T11:39:16.503017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:39:16.503017Z digest=sha256:86b2ba9021208d3aa27ff61ca899d43204102e2dde777fb9847520e37d8f5c00

Observation 130109f1-40ae-4e46-a5d7-7e4cf4b1244e · inbound

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning cites this paper.

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:50:54.287731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:50:48.512471Z digest=sha256:3e58dda7d16012ee6c90218904e078dffff1b7b0610ef0a3cc5ebbe426f23d96

Observation 4d93fa80-a1c8-4f7e-b462-8521672eaba4 · inbound

Efficient Multi-View 3D Object Detection by Dynamic Token Selection and Fine-Tuning cites this paper.

Efficient Multi-View 3D Object Detection by Dynamic Token Selection and Fine-Tuning Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.171417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T13:35:18.317235Z digest=sha256:564341cb0f32856227616fe91d9a20781f2ba2fc822eacd0a739f4b0c4fe1362

Observation c00515aa-eaa6-4a11-a419-45f1135d291a · inbound

Revisiting Token Compression for Accelerating ViT-based Sparse Multi-View 3D Object Detectors cites this paper.

Revisiting Token Compression for Accelerating ViT-based Sparse Multi-View 3D Object Detectors Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.959217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T11:31:52.126027Z digest=sha256:61edd1241921029e2fe76e830c94febeadc242061879d0decf52fc8de11d0db4

Observation 16d8e39c-68c1-4d43-974f-5564f4dac723 · inbound

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras cites this paper.

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:16:54.737766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T07:16:33.640040Z digest=sha256:13235910d013dcc15d4ddc819d8f56a5d93fdce68eb89eec9140a12b581ee63b

Observation ae5b970e-7cc8-4a4d-b1cd-8e6aa7b65eff · inbound

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection cites this paper.

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.200213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T05:53:11.157832Z digest=sha256:bac30a5f9fe1003ea010618596989af3fbde20a058d4f213cebe837b63aab649

Observation 7530df44-b3a1-4605-a4b3-75ebb962397b · inbound

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras cites this paper.

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:07.754709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T17:22:01.467937Z digest=sha256:db1cbaba50ced29d68f5ed6070a169b2e54c4b04bd28baa523e771bae668fa74

Observation 3eb3cd21-ef20-4654-ba9e-18373c6e097b · inbound

SToRe3D: Sparse Token Relevance in ViTs for Efficient Multi-View 3D Object Detection cites this paper.

SToRe3D: Sparse Token Relevance in ViTs for Efficient Multi-View 3D Object Detection Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:46.700572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T05:15:14.709039Z digest=sha256:03d2a4171a5c1b2bfbc51e85af65550f3539433e9c4728c4e0288b2e34992432