Pith. sign in

Paper Citation Record · LEDGER

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception

As of 17 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.

pith.paper-citation-record.v1
2509.06506 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:33:58.323846Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.060704Z digest=sha256:750342e62c4281ac61cdc02431d736a864a787043e467346b2fa7ce77919a5da

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.067120Z digest=sha256:40d9113ff7017371cac8f0bba62997aad14d76bc4cde8b57185eb64cca48ac26

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.072619Z digest=sha256:98f2180bbd4336683712a6dcc70fc517cf681ed6120987edb640fc867966089e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.079414Z digest=sha256:20d1b6b27b6a43b5b1e19ce5f7b55bb336d69af8c8a14c9eaccf29ee219c2558

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.085782Z digest=sha256:bbd97cc77a76b83ef02b1cb6dfffec46220512653e2a3a3ff56f7a3d6a4e7a1b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.091955Z digest=sha256:dcf3c432e01b71ac4c40522c0b03c06ef438861ad9a61044cd0dd9bd75dd6ad0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.099446Z digest=sha256:6a9bdf791bfbe1a3baa348847c8857920c8896908c66fd89aaf19bba1fd404aa

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.

source=pdf_text observed=2026-08-04T23:33:58.104900Z digest=sha256:15fd4e3ba86bff4ce337219a6756cbaf61e54c75c2a73071275bbf0e534ba910

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.110713Z digest=sha256:78d51cf67c7a0b137672241aecdd756c1dc22af6ab727551cfd8880eaa132bc0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.117587Z digest=sha256:1f10fa61fc2ff512bccb3687c77c0e6abf31e4580f60de64371794415b587aff

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.123002Z digest=sha256:03c6b8f47415f826d1962703a64e3646eec9c0ecc1865f2f13f867d0aa2a7981

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.128594Z digest=sha256:4c11ebedc354748506b20e1c3125818c7e3c9d5d3681450c9c9436b02a1a375f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.136325Z digest=sha256:3a77e69ff4a0b16312825e495e64ee219aceef59ef2ef387782e220644868ea1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.142422Z digest=sha256:37222a243b94a101f190f42ec377100481cde08d77809816bfd134954f794c23

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.147667Z digest=sha256:ebfcc1e6f87bd7245a86bc79d0dcc6c19731f659e8d8d4d7a434d637f7b0e69d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.155235Z digest=sha256:bab78c0566fa77f7e0ef2e6f11ae980e4bc49967e16130bda56b68d03dedcd45

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.

source=pdf_text observed=2026-08-04T23:33:58.160207Z digest=sha256:e0cbb05f490bd47090f516fc5e7472a00ad0227b9da87fd803ebd5359c853e67

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.167109Z digest=sha256:b32dca5edde7d980840c746848d885f56c8e2b9b69cff22b834e7d3efcc9abdf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.172609Z digest=sha256:06ae117e5288c16d92df7f04ad0050a4a6990f32de261c5b42c335c310d324f7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.180605Z digest=sha256:88a39d1d4870388db0cfa0e255fb2ac173c06a47bc617d099fbcdb3ea7ea1ea2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.186726Z digest=sha256:4bb20154ccc963efb2b8579b8041336843e3f43f1087cdc5da7d3f02245604c0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.194734Z digest=sha256:dfbfd73da886123a1888275f4752a93ed82b6105e3a55b1d4c0a6053e85e07e1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.201079Z digest=sha256:0d50aa54c996470f46c36cd4e4395ee1e0e6a369426e3fc860e1120b2e8a1bbc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.209001Z digest=sha256:116a76463f864d4c543949dce0697a6c97d82e30aaf68037550b0d2b83e7d8cd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.213955Z digest=sha256:3c77260f89442364390d4c87f0d37b6bb033343e8d388f7ff71c6d98823e420e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.220133Z digest=sha256:3299c48beaf01f66829f0aa5062c96edbea11623347473d43bbe7861518c66bf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.225459Z digest=sha256:a164a0e1bf39ffd666dc5f1d72a4228a5f4c1d44ed6b4559ba7a80f02caef587

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.230492Z digest=sha256:c3372dabdb39d01b6651c73bc572a1f97c701573803bba135b201bdc4308c142

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.235694Z digest=sha256:4d6c051fb9db8ea9ae7cd2feb3c1cad3234f7a6844f4374e76b1f94c8c6a4e0d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.240771Z digest=sha256:92b47c34fb0655654ace344f489408e69b424bf0dc7d74c7cd4bec779f897c2a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.245546Z digest=sha256:64e03d3383843b605a0ae8f9769bfe771bd89e4efbe35ad1db35e060022f631f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.251097Z digest=sha256:f1c0f67ea1ba6b188758cc87a5f8b4d283345bd3324028813b52c4011242f66f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.255748Z digest=sha256:2d1a78ab5d7b97457f07bb0a6e4ed356b600e559662cce98b696a92d20863552

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.260526Z digest=sha256:5c41dc08b54b514ae0baa15345e571d8d6b00867c1d722bc11863853fb0c84b7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.266040Z digest=sha256:79bb22c5d097618e956c245025214133c0eefa5ae4e97fa8609b4cb753bfe8b9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.271394Z digest=sha256:f436b8a930b34933aa7f803599c8ce2311afc71eb33077cdc99fc220136e39b8

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.

source=pdf_text observed=2026-08-04T23:33:58.276396Z digest=sha256:7550bc0522062d275ba94e5bd2f7b882c5a9626d619a613bd01462203af4faac

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.281930Z digest=sha256:58a932f53fd1276b3d77bbd80098ba06e47e0bc393fe34b554c1522c8c41bbaf

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.

source=pdf_text observed=2026-08-04T23:33:58.286942Z digest=sha256:c2a87949fe88d90425cc41a53393228875fa5e9915b5ae787460e985679c753a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.291793Z digest=sha256:88615a0041be6462d5f86a75e0056cd9ba7e2eb78b970cecb160310bc0abaff4

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.

source=pdf_text observed=2026-08-04T23:33:58.296951Z digest=sha256:1b049ae1a7e85a5a250e547e95e2084f54a0bb041f16be478dea5b3022c2726e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.302023Z digest=sha256:686a2170e9c861cb04a2b52b847320b6263eedda25c610c7affd543005b94ced

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.

source=pdf_text observed=2026-08-04T23:33:58.306737Z digest=sha256:46aa3b674b34f4188e660371781a07a103561c3fd1d6e6a038769709a34d55fd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.312953Z digest=sha256:4491fcc0c42837b2a1543afe9bca79ea0054b3d6b43f2e0d474033e31fc40fa2

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.

source=pdf_text observed=2026-08-04T23:33:58.318779Z digest=sha256:e6ecf2fc916619879f3bd1082dee592d4c6d5c03a8ddeb453c28e5b350d06858

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:33:58.323846Z digest=sha256:7edd3dd4ffdefa2fd423f48aec623d072c03880dba79bab07c7b461846df9dea

Pith citing papers

No inbound Pith citation observations are available.