Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:33:58.323846Z
Paper Citation Record · LEDGER
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception
As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.06506.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact1
- verified fuzzy37
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 89455062-d65b-47c1-bce6-ba0421ca6b48 · outbound
This paper cites Collabo rative perception in autonomous driving: Methods, datasets, and c hallenges,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Collabo rative perception in autonomous driving: Methods, datasets, and c hallenges,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.340369Z
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.
Observation 90b235fe-2a4b-4d56-926e-5c29b1dfea78 · outbound
This paper cites Lidar for autonomous drivin g: The principles, challenges, and trends for automotive lidar an d perception systems,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Lidar for autonomous drivin g: The principles, challenges, and trends for automotive lidar an d perception systems,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.324867Z
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.
Observation e6674c5e-254b-4d51-8dfe-9a6ca7f4c730 · outbound
This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.307905Z
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.
Observation 915b0853-4ef2-40d6-add0-e631db84c325 · outbound
This paper cites Learning distilled collaboration graph for multi-agent perception,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Learning distilled collaboration graph for multi-agent perception,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.291550Z
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.
Observation afd33fc6-117d-4721-929b-6a227e4ffdef · outbound
This paper cites V2x-v it: V ehicle-to-everything cooperative perception with visio n transformer,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception V2x-v it: V ehicle-to-everything cooperative perception with visio n transformer,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.275260Z
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.
Observation 704407e6-c882-45c8-8130-ce12b95f411c · outbound
This paper cites Core: Coo perative reconstruction for multi-agent perception,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Core: Coo perative reconstruction for multi-agent perception,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.257957Z
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.
Observation ee36f641-a1c0-4639-8494-f1f2905eb460 · outbound
This paper cites Learnin g for vehicle-to-vehicle cooperative perception under lossy co mmunication,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Learnin g for vehicle-to-vehicle cooperative perception under lossy co mmunication,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.241941Z
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.
Observation f8f0a12e-e660-4ba7-90b5-cd7db16d128e · outbound
This paper cites Semantic Communications: Principles and Challenges.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic Communications: Principles and Challenges
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:58.104900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e99dffa-f94c-4da4-ae2c-25a04068f7b8 · outbound
This paper cites Semantic communications for fu ture internet: Fundamentals, applications, and challenges,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic communications for fu ture internet: Fundamentals, applications, and challenges,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.226424Z
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.
Observation aa3c2384-4865-4e62-b129-923360a6bc20 · outbound
This paper cites Intelligent multi-modal sen sing- communication integration: Synesthesia of machines,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Intelligent multi-modal sen sing- communication integration: Synesthesia of machines,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.210902Z
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.
Observation d65c6c1a-53d0-44cf-b731-87ba0370aa2f · outbound
This paper cites A lite distributed semantic communic ation system for internet of things,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception A lite distributed semantic communic ation system for internet of things,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.194512Z
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.
Observation a91ff832-943f-4432-ba28-f81fc223ea26 · outbound
This paper cites Deep learning e nabled semantic communication systems,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep learning e nabled semantic communication systems,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.176249Z
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.
Observation db2a4d09-e916-4329-a886-7aa20d3438bd · outbound
This paper cites Performa nce limits of a deep learning-enabled text semantic communicat ion under interference,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Performa nce limits of a deep learning-enabled text semantic communicat ion under interference,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.159946Z
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.
Observation ba60ea61-8d0e-4391-a4a1-4d64d2e5a674 · outbound
This paper cites Deep jo int source- channel coding for wireless image transmission,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep jo int source- channel coding for wireless image transmission,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.142386Z
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.
Observation 6d7dcc1d-f8d2-42a3-8bbd-ce4532e8eeb1 · outbound
This paper cites W ireless image transmission using deep source channel coding with at tention modules,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception W ireless image transmission using deep source channel coding with at tention modules,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.126285Z
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.
Observation 24a0c329-b2d4-4de2-a860-64eb750b82a1 · outbound
This paper cites WIT T: A wireless image transmission transformer for semantic comm unications,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception WIT T: A wireless image transmission transformer for semantic comm unications,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.110349Z
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.
Observation ea0ac064-3203-47af-b5a3-f34dbdb6caad · outbound
This paper cites Task-oriented explainable semantic commun ications,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Task-oriented explainable semantic commun ications,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:58.160207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80d7fcea-dc2e-430d-849f-ff21910a01c6 · outbound
This paper cites Classification-oriented semant ic wireless com- munications,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Classification-oriented semant ic wireless com- munications,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.083493Z
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.
Observation d6dc6118-6946-448d-bca0-3be977dae030 · outbound
This paper cites Classification-driven discrete neural represen tation learning for semantic communications,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Classification-driven discrete neural represen tation learning for semantic communications,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.067859Z
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.
Observation ea12a287-4bc2-43cd-9bb3-ee3d93b12f76 · outbound
This paper cites Semantic communications with di screte-time analog transmission: A papr perspective,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic communications with di screte-time analog transmission: A papr perspective,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.051784Z
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.
Observation 94149485-83e1-4890-9db1-751353b7395a · outbound
This paper cites Google/draco: a library for compressing and decompressin g 3d geo- metric meshes and point clouds,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Google/draco: a library for compressing and decompressin g 3d geo- metric meshes and point clouds,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.035170Z
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.
Observation f2c92a20-b506-4cb2-8a7c-c88826eabebf · outbound
This paper cites An overview of ongoing point cloud compressi on stan- dardization activities: Video-based (v-pcc) and geometry -based (g-pcc),.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception An overview of ongoing point cloud compressi on stan- dardization activities: Video-based (v-pcc) and geometry -based (g-pcc),
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.019026Z
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.
Observation e27740f9-0172-422a-8f78-6035b0c88ad5 · outbound
This paper cites Geometric modeling using octree encoding ,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Geometric modeling using octree encoding ,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:59.002252Z
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.
Observation cd2704ff-753c-4d6b-b898-d9c9875b8bb0 · outbound
This paper cites Multidimensional binary search trees u sed for associative searching,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Multidimensional binary search trees u sed for associative searching,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.986199Z
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.
Observation 21768586-2c14-4d6a-9014-eea8f1c62cf6 · outbound
This paper cites Pointnet: Deep le arning on point sets for 3d classification and segmentation,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Pointnet: Deep le arning on point sets for 3d classification and segmentation,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.970668Z
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.
Observation 3de59619-d69f-4139-992a-7f1fe4f9e986 · outbound
This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Pointnet++: Deep hierarchical feature learning on point sets in a metric space,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.953657Z
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.
Observation cb8155af-d37d-4ad2-92b7-91e36821fdc6 · outbound
This paper cites Poin t transformer,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Poin t transformer,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.938089Z
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.
Observation 153805c0-7882-4bef-87e7-52b483586edf · outbound
This paper cites 3d point cloud geometry compressio n on deep learning,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception 3d point cloud geometry compressio n on deep learning,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.921708Z
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.
Observation b5bb46b1-8033-4a40-a4b5-cd9e9816d7a5 · outbound
This paper cites Transformer and ups ampling- based point cloud compression,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Transformer and ups ampling- based point cloud compression,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.905927Z
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.
Observation 5c0bf19f-0037-4f94-845f-2fda924494e1 · outbound
This paper cites Deep compression for dense point cloud maps,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep compression for dense point cloud maps,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.887812Z
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.
Observation f881ea13-8d0e-44cb-940a-e9c4cb41df1d · outbound
This paper cites Octattention: O ctree-based large-scale contexts model for point cloud compression,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Octattention: O ctree-based large-scale contexts model for point cloud compression,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.751657Z
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.
Observation a028f2cc-1e82-41de-a841-3855be181c50 · outbound
This paper cites Densit y- preserving deep point cloud compression,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Densit y- preserving deep point cloud compression,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.733474Z
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.
Observation 39da360a-20e9-44d7-a050-f1fc15139c22 · outbound
This paper cites an unresolved cited work.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T23:33:58.716028Z
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.
Observation 5ef377c6-23c3-4bd1-9da9-984c7c386404 · outbound
This paper cites Deep joint source-cha nnel coding for csi feedback: An end-to-end approach,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Deep joint source-cha nnel coding for csi feedback: An end-to-end approach,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.698783Z
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.
Observation c1c85e25-2619-4fc1-997d-ca094544baef · outbound
This paper cites Task-oriented multi-user semantic communications,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Task-oriented multi-user semantic communications,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.681884Z
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.
Observation aebd676c-5f91-4ef1-9e8c-fe136bb89639 · outbound
This paper cites A unified multi- task semantic communication system with domain adaptation,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception A unified multi- task semantic communication system with domain adaptation,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.662733Z
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.
Observation 4ce9952f-f3a8-44d0-8961-9ea0142f07ff · outbound
This paper cites Multi-modal fus ion- based multi-task semantic communication system,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Multi-modal fus ion- based multi-task semantic communication system,
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:58.276396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea7d8b70-3588-4a9e-b704-9c51e2127f3d · outbound
This paper cites Wireless 3d point cloud delivery using deep graph neural networks,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Wireless 3d point cloud delivery using deep graph neural networks,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.644473Z
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.
Observation 52b867d2-9a8a-4adb-a79c-62fb91a7661f · outbound
This paper cites Semantic Communications System with Model Division Multiple Access and Controllable Coding Rate for Point Cloud.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Semantic Communications System with Model Division Multiple Access and Controllable Coding Rate for Point Cloud
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:58.286942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9569ce7-742a-4d5f-841d-98578464d5e4 · outbound
This paper cites Over-the-Air Learning-based Geometry Point Cloud Transmission.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Over-the-Air Learning-based Geometry Point Cloud Transmission
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T23:33:58.429827Z
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.
Observation c4337ec5-0502-4c98-be0d-7e947f7640fe · outbound
This paper cites ShapeNet: An Information-Rich 3D Model Repository.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception ShapeNet: An Information-Rich 3D Model Repository
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:58.296951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bf409cc-9943-4a42-b115-1ef62fc299c8 · outbound
This paper cites 3d shapenets: A deep representation for volumetric shapes,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception 3d shapenets: A deep representation for volumetric shapes,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.626279Z
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.
Observation 97e27de2-ea08-45b0-8d88-66955813d6e2 · outbound
This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:58.306737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45cf3324-2b14-498a-bf6c-a00ef33013bb · outbound
This paper cites Differentiable soft quantization: Bridging full-precis ion and low-bit neural networks,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Differentiable soft quantization: Bridging full-precis ion and low-bit neural networks,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.607625Z
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.
Observation 19c4baa7-60e6-41bd-8959-3f5345ee9bde · outbound
This paper cites Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:58.318779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcdc1960-0795-418b-b888-34afcd47f185 · outbound
This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception w ith vehicle- to-vehicle communication,.
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Opv2v: An open benchmark dataset and fusion pipeline for perception w ith vehicle- to-vehicle communication,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:33:58.589297Z
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.
Pith citing papers
No inbound Pith citation observations are available.