Paper Citation Record · LEDGER

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.16007.

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

pith.paper-citation-record.v1
2411.16007 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:44:19.124516Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

42 of 42 outbound references displayed

verified exact2
verified fuzzy34
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d530a3e9-0ec8-4da1-9498-38766ae17532 · outbound

This paper cites E/E architecture,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception E/E architecture,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.641001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c9a601f-8115-41b6-b8cd-74607d0266ec · outbound

This paper cites The future of automotive compute,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception The future of automotive compute,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.629601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6067ae88-6678-4bca-bed9-44b9c0e3d7f4 · outbound

This paper cites Chiplets - a platform-concept for automotive adas systems,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Chiplets - a platform-concept for automotive adas systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.617837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 69db142c-a5a8-48e1-aa89-fa0488ef3925 · outbound

This paper cites Why are chiplets attracting the attention of the automotive industry?.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Why are chiplets attracting the attention of the automotive industry?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.606556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bcb3698e-cadc-469c-aaf0-42dd0216cb2c · outbound

This paper cites Tesla’s self driving algorithm explained,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Tesla’s self driving algorithm explained,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.594842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f5f389e9-dcd3-41b9-a715-9ffb8fddff2e · outbound

This paper cites GM Cruise designs custom chips at lower cost for self-driving vehicles such as Origin,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception GM Cruise designs custom chips at lower cost for self-driving vehicles such as Origin,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.582282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d025e636-61a0-45e4-9650-aa5bdd161163 · outbound

This paper cites V olkswagen Plans on Designing Chips for Its Self-Driving Cars,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception V olkswagen Plans on Designing Chips for Its Self-Driving Cars,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.570757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2850b61e-0baa-47dd-970c-f9eb8d1d8202 · outbound

This paper cites Marvell joins imec automotive chiplet initiative to facilitate compute socs for super-human sensing,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Marvell joins imec automotive chiplet initiative to facilitate compute socs for super-human sensing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.557300Z

Source-reported events for the cited work

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Observation c4d58c31-551e-4d7e-b6d5-ef327235c00c · outbound

This paper cites UCIe Standard: Benefits & Requirements Explained,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception UCIe Standard: Benefits & Requirements Explained,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.544410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 251035a1-be7f-41da-a142-6c0e55ae0c1d · outbound

This paper cites Simba: Scaling deep-learning inference with multi-chip-module-based architecture,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Simba: Scaling deep-learning inference with multi-chip-module-based architecture,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.532483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0047267e-e26d-414b-9775-9702ff09c061 · outbound

This paper cites Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:44:19.178713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2df8bf81-21e1-4c79-944e-9d2e9ea75a17 · outbound

This paper cites NN-baton: DNN workload or- chestration and chiplet granularity exploration for multichip accelerators,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception NN-baton: DNN workload or- chestration and chiplet granularity exploration for multichip accelerators,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.521571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75697535-9bef-4c7c-a522-ab0333ae3d80 · outbound

This paper cites SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:44:19.161984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f318587-9d21-40fd-a1a7-e219750efb8d · outbound

This paper cites AI computing in light of 2.5 d interconnect roadmap: Big-little chiplets for in-memory acceleration,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception AI computing in light of 2.5 d interconnect roadmap: Big-little chiplets for in-memory acceleration,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.508181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53576187-30e4-49ac-a511-23e0c3ce96c5 · outbound

This paper cites A 0.32–128 tops, scalable multi-chip-module-based deep neural network inference accelerator with ground-referenced signaling in 16 nm,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception A 0.32–128 tops, scalable multi-chip-module-based deep neural network inference accelerator with ground-referenced signaling in 16 nm,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.496504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8357479-a068-4024-bf53-d3de490fefd2 · outbound

This paper cites Hydranets: Specialized dynamic architectures for efficient inference,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Hydranets: Specialized dynamic architectures for efficient inference,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.485388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73794596-3a38-42b3-a6bf-94c651e6ed9d · outbound

This paper cites SAGE: A split-architecture methodology for efficient end-to-end au- tonomous vehicle control,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception SAGE: A split-architecture methodology for efficient end-to-end au- tonomous vehicle control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.474052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 679e4280-5ad4-4602-b959-10fd1390312c · outbound

This paper cites Hydrafusion: Context-aware selective sensor fusion for robust and efficient autonomous vehicle perception,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Hydrafusion: Context-aware selective sensor fusion for robust and efficient autonomous vehicle perception,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.461768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation edc64e79-77ca-4024-bb46-93206ffabcbf · outbound

This paper cites Heterogeneous dataflow accelerators for multi-dnn workloads,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Heterogeneous dataflow accelerators for multi-dnn workloads,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.449231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 12f3a663-da4c-4ee3-949a-dfcddc63f20e · outbound

This paper cites Carin: Constraint-aware and responsive inference on heterogeneous devices for single-and multi-dnn workloads,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Carin: Constraint-aware and responsive inference on heterogeneous devices for single-and multi-dnn workloads,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.435222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 527830ef-d0ea-4240-b338-0b96beb76387 · outbound

This paper cites Map-and-conquer: Energy-efficient mapping of dynamic neural nets onto heterogeneous mpsocs,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Map-and-conquer: Energy-efficient mapping of dynamic neural nets onto heterogeneous mpsocs,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.421603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c4d0c6d-0ac2-43a5-9e16-cabb1637ad19 · outbound

This paper cites H2h: heterogeneous model to heterogeneous system mapping with computation and com- munication awareness,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception H2h: heterogeneous model to heterogeneous system mapping with computation and com- munication awareness,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.409313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f8a743e-c7fa-495e-b7ea-1bb7d1fa09f6 · outbound

This paper cites Computer architectures for autonomous driving,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Computer architectures for autonomous driving,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.397744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a267c579-111c-44a4-ad70-3cd5fb0f8b78 · outbound

This paper cites The architectural implications of autonomous driving: Constraints and acceleration,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception The architectural implications of autonomous driving: Constraints and acceleration,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.385338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51a5c9a5-03f5-4383-a7bf-3424dd16bebc · outbound

This paper cites Vehicular and edge computing for emerging connected and autonomous vehicle applications,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Vehicular and edge computing for emerging connected and autonomous vehicle applications,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.373979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 140cc1b8-2ba6-4b77-9f67-449112eb60df · outbound

This paper cites Romanus: Robust task offloading in modular multi-sensor autonomous driving systems,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Romanus: Robust task offloading in modular multi-sensor autonomous driving systems,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.360067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5147f8db-2ca6-450c-a659-f568e187de36 · outbound

This paper cites Compute solution for tesla’s full self-driving computer,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Compute solution for tesla’s full self-driving computer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.346519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84c50d8e-c776-4d60-874e-ae50f73ee25b · outbound

This paper cites Tesla AI Day 2021.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Tesla AI Day 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.333240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aeebda0b-2bb2-4867-be6a-d1128742aa39 · outbound

This paper cites Maestro: A data-centric approach to understand reuse, performance, and hardware cost of dnn mappings,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Maestro: A data-centric approach to understand reuse, performance, and hardware cost of dnn mappings,

Reference 29

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Source-reported events for the cited work

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Observation 28e6d91a-087f-4562-8b9a-9dacbc3a7830 · outbound

This paper cites Understanding reuse, performance, and hardware cost of dnn dataflow: A data-centric approach,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Understanding reuse, performance, and hardware cost of dnn dataflow: A data-centric approach,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T13:44:19.081779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f44eaf-6bde-4ecb-9165-598d2774155c · outbound

This paper cites How Tesla’s Autopilot Works,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception How Tesla’s Autopilot Works,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.306253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dfc061b7-815c-4600-be4a-5c1671cf7547 · outbound

This paper cites Efficientdet: Scalable and efficient object detection,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Efficientdet: Scalable and efficient object detection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T13:44:19.089171Z

Source-reported events for the cited work

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Observation a79ed1f7-3849-4381-9827-bad1700ac652 · outbound

This paper cites Attention is all you need,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Attention is all you need,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T13:44:19.092482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d96cf0-e411-48bb-967d-5e41d6b50455 · outbound

This paper cites Nvdla deep learning accelerator,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Nvdla deep learning accelerator,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.280526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a35bd2f2-93f2-47d6-b974-a139906996fa · outbound

This paper cites Shidiannao: Shifting vision processing closer to the sensor,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Shidiannao: Shifting vision processing closer to the sensor,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.266355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 670a3d78-97ae-4a3b-874d-2fdd0a550841 · outbound

This paper cites DREAM: A Dynamic Scheduler for Dynamic Real-time Multi- model ML Workloads,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception DREAM: A Dynamic Scheduler for Dynamic Real-time Multi- model ML Workloads,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.253285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94920ebf-b224-4e88-8ee7-0b7ccc8fecab · outbound

This paper cites Tesla ai day 2022.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Tesla ai day 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.240279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a84c8aff-ef8a-4fa5-8652-38ae67b10135 · outbound

This paper cites MCM-GPU: Multi-chip-module GPUs for continued performance scalability,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception MCM-GPU: Multi-chip-module GPUs for continued performance scalability,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.227971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ffbf997a-0192-4ce5-88ac-49a7a3cde950 · outbound

This paper cites Nvidia Grace Hopper Superchip,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Nvidia Grace Hopper Superchip,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.216706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e61be2e5-b556-450d-a3e0-d5a5ddc5d253 · outbound

This paper cites Centaur: A chiplet-based, hybrid sparse-dense accelerator for personalized recommendations,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Centaur: A chiplet-based, hybrid sparse-dense accelerator for personalized recommendations,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T13:44:19.117799Z

Source-reported events for the cited work

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Observation 318aeefe-37f8-45fb-87a9-2ace66105063 · outbound

This paper cites Testudo: Collaborative intelligence for latency-critical autonomous systems,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Testudo: Collaborative intelligence for latency-critical autonomous systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:19.197826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87736593-eca8-4714-a582-9c8837c7481e · outbound

This paper cites Edge computing for autonomous driving: Opportunities and challenges,.

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception Edge computing for autonomous driving: Opportunities and challenges,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T13:44:19.124516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.