Pith. sign in

Paper Citation Record · LEDGER

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2501.10301.

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

pith.paper-citation-record.v1
2501.10301 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:19:21.626523Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:29:22.922361Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:30:35.522871Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa3c4e9a-7a82-496c-ac92-09312ee640fa · outbound

This paper cites Scaling the power wall: A path to exascale,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Scaling the power wall: A path to exascale,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.921059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.525890Z digest=sha256:2ebf8906f90b6647cbeee5751ea77a34fb257e40e0b7f5aaa390362edfd6c623

Observation 02720f6a-024d-4c06-9781-0d3ded6bc6f8 · outbound

This paper cites The environmental cost of high performance computing system simulation,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors The environmental cost of high performance computing system simulation,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.915289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.528998Z digest=sha256:5f82ff520711ab476463f31a428580800a3a8f513c7a2402ae85dd6b87599af3

Observation ef3f478e-9cd3-442b-930c-898cb895621e · outbound

This paper cites The CRAY-1 computer system,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors The CRAY-1 computer system,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.909443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.531778Z digest=sha256:43ec28d16bc884c043e88480079a251c7df83bc4f0f0cd9fd015f93050ed21c5

Observation dec5db89-35c0-4301-81be-696812812032 · outbound

This paper cites A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.903155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.534699Z digest=sha256:87d3b453f648da4bae0f7a7e561a5f79eb434f853fb93a2bfd38eb4b71126288

Observation 82f88328-d0a3-46be-a789-0a4f74fa0418 · outbound

This paper cites Challenges and oppor- tunities in the co-design of convolutions and RISC-V vector processors,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Challenges and oppor- tunities in the co-design of convolutions and RISC-V vector processors,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.896800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.538350Z digest=sha256:4f992995a1acb1a0667f3c1de7b10add9f7155697fd15af871107123d3fbdc06

Observation 03cd282e-3d82-4fd3-82fc-d2bd7d511fa5 · outbound

This paper cites Short Reasons for Long Vectors in HPC CPUs: A Study Based on RISC-V,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Short Reasons for Long Vectors in HPC CPUs: A Study Based on RISC-V,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.889968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.541730Z digest=sha256:826f2fe38d975a17a189c5cbacefcd933f208435ee2dfe829ad6de53b7c45156

Observation a7041f1c-9f7f-46a7-9eb0-e6821947c890 · outbound

This paper cites Efficiently running SpMV on long vector architectures,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Efficiently running SpMV on long vector architectures,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.883650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.548461Z digest=sha256:8b11eb381123ed875bfa4c3f135c83a37d195f43dfd09779a97e88330a1032b8

Observation 74d88d0f-3f93-4e73-9097-15f8a22dfe05 · outbound

This paper cites HPCG on long-vector architectures: Evaluation and optimiza- tion on NEC SX-Aurora and RISC-V,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors HPCG on long-vector architectures: Evaluation and optimiza- tion on NEC SX-Aurora and RISC-V,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.877130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.551264Z digest=sha256:662cdb5b68fc4164dcfa2492b0aae88db81d1a7cd89e7f04b6b15b0906056a92

Observation 0db4ba3f-7836-4a79-9b70-70328fea2a2a · outbound

This paper cites AWS Graviton - Getting started,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors AWS Graviton - Getting started,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.869987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.553856Z digest=sha256:6c7bee9359e082d2dd96bbdab7c1b6b4d629584cfb7e8fe9273d97e394b8f814

Observation 9816e850-fb36-4365-8340-01bc5d9cf504 · outbound

This paper cites Supercomputer Fugaku CPU A64FX realizing high performance, high-density packaging, and low power consumption,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Supercomputer Fugaku CPU A64FX realizing high performance, high-density packaging, and low power consumption,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.863231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.558825Z digest=sha256:29dd3faeab3fad299357d9dc5dcce29f8a84ad1cbebb69f4ac50267143a9f7e7

Observation c6a9d4a6-24ba-49c7-acf9-a21a665c0af7 · outbound

This paper cites Vicuna: A timing-predictable RISC-V vector coprocessor for scalable parallel computation,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Vicuna: A timing-predictable RISC-V vector coprocessor for scalable parallel computation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.856521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.562580Z digest=sha256:737b630573a226457d8784eaa44786aa1060c566e9fccbd83c437c69a681308f

Observation f8930914-dfd1-400f-99b9-c259edaff00b · outbound

This paper cites Vitruvius+: An area-efficient RISC-V decoupled vector coprocessor for high performance computing applications,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Vitruvius+: An area-efficient RISC-V decoupled vector coprocessor for high performance computing applications,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.849995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.565124Z digest=sha256:e14bd6448eb97f9142a75db5cf1da38fa9088b80f9d6548cafed66df809b7c33

Observation 1aef1815-dfcc-40c5-88c9-25aae38c4db5 · outbound

This paper cites Ara2: Exploring single- and multi-core vector process- ing with an efficient RVV 1.0 compliant open-source processor,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Ara2: Exploring single- and multi-core vector process- ing with an efficient RVV 1.0 compliant open-source processor,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.844102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.567532Z digest=sha256:b613acd8d932f7b2b3ce1a3ebe9d9f928d245b2833042247edb1c7038a1a4828

Observation 45cb3535-bd56-41f3-948e-76a6bf485606 · outbound

This paper cites [Online].

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors [Online]

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.837908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.572901Z digest=sha256:0e469506a405490e49a6c685123a8c2ce4f8de5f9dea9b4d2722ac45b9869442

Observation aaa98d45-5095-4c7f-82f8-84b4a4960004 · outbound

This paper cites P870 high-performance RISC-V processor,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors P870 high-performance RISC-V processor,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.832088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.576667Z digest=sha256:f90281636c9cba809c839ba56033096c6549ecdc03366b291a18bf5ad3a6afce

Observation bcf6babe-22dc-43c5-bef8-3cc8b45b32c2 · outbound

This paper cites AndesCore™ NX27V Processor,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors AndesCore™ NX27V Processor,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.825473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.586976Z digest=sha256:12eb27c2039cac329e1c4cabb8a7e23e68575c7a406400e921201a7441e721d0

Observation f9267513-1035-4bee-a45d-0b46490ecf3d · outbound

This paper cites SiFive announces differentiated solutions for gen- erative AI and ML applications leading RISC-V into a new era of high-performance innovation,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors SiFive announces differentiated solutions for gen- erative AI and ML applications leading RISC-V into a new era of high-performance innovation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.818963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.605741Z digest=sha256:efcefa231d5e5c0e64e215ab441211ed336f57aca0828117a773237105f76998

Observation 72392d89-f60d-44d6-ba35-093df027ea93 · outbound

This paper cites [Online].

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors [Online]

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.812557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.608007Z digest=sha256:d848985c58b4c6e018b61756cc325796117b5c4e7348f8ce01f1b5c9d7f19b64

Observation a7254c76-3e83-425d-bc8b-613560c76a27 · outbound

This paper cites Spatz: Clustering compact RISC-V-based vector units to maximize computing efficiency,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Spatz: Clustering compact RISC-V-based vector units to maximize computing efficiency,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T19:19:21.610229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:19:21.610229Z digest=sha256:cdc656cf79b31aad6757a1908b95426d67e5502c6927cb6b810ea35f71721757

Observation 31d158c2-3268-480a-98e0-5a66835ad438 · outbound

This paper cites Arrow: A RISC-V vector accelerator for machine learning inference,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Arrow: A RISC-V vector accelerator for machine learning inference,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.805705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.612378Z digest=sha256:dcd74afaa6186703fe124849521baf1698163483215c3136cc230ffed9e746c6

Observation d6d2ed20-c582-4413-a424-d500b3c4db04 · outbound

This paper cites AndesCore™ AX45MPV,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors AndesCore™ AX45MPV,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.798200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.615480Z digest=sha256:11fe3df8e012a46b0a4f1a0f15f40652c9dd562e5c9451a7cced111dca3f44db

Observation c50ca31a-da96-4195-b7e5-ea8e6785aeb5 · outbound

This paper cites Semidynamics vector unit,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Semidynamics vector unit,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.791183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.617712Z digest=sha256:56602054049c17b8cf7f881bad9a984dfc565b9910e5b33b04c917f5cb0334f9

Observation 420f456f-5579-4cb1-97da-4b3ac9e611cb · outbound

This paper cites NEC SX-Aurora TSUBASA architecture,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors NEC SX-Aurora TSUBASA architecture,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.777477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.622303Z digest=sha256:69dbe748db50b343e240f8dc41b7280ef23508fdd255784cdc6c51ef5b746a65

Observation acf185be-32a6-4817-b960-b0bf4ab388df · outbound

This paper cites The Llama 3 herd of models,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors The Llama 3 herd of models,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.771043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.624409Z digest=sha256:b5a259356a8965fc6d6122066d20bc11bfedca14252fef4919927de8316c1c32

Observation 2c4e9603-5566-478e-9a29-e7252ea07b30 · outbound

This paper cites The cost of application-class processing: Energy and performance analysis of a Linux-ready 1.7-GHz 64-Bit RISC-V core in 22-nm FDSOI technology,.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors The cost of application-class processing: Energy and performance analysis of a Linux-ready 1.7-GHz 64-Bit RISC-V core in 22-nm FDSOI technology,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.764176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.626523Z digest=sha256:3330b29ea7d985a327a5ad7076e96dfff9feeff21892758f7befc8f2566cf2b6

Observation a6632c8f-ebf0-4ebf-864c-888945c271a0 · outbound

This paper cites Available: https://semidynamics.com/en/technology/ vector-unit.

AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors Available: https://semidynamics.com/en/technology/ vector-unit

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:19:21.784588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T19:19:21.620014Z digest=sha256:01530f869240310c4fadf30757e7b7ac10b193a8d76c2f92b3e5a69fdb7943f5

Pith citing papers

Observation ba6a679b-efd9-4f70-83ea-c62e3053887f · inbound

Efficient Implementation of RISC-V Vector Permutation Instructions cites this paper.

Efficient Implementation of RISC-V Vector Permutation Instructions AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T22:29:22.922361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:29:22.922361Z digest=sha256:c6adc429a80e68c04bd60dbf7730594b0a01cd8da9036c4f32c8442e1b51318e

Observation 3c20c367-a2db-4783-abf9-a29e97a0c398 · inbound

Physical Design Exploration of a Wire-Friendly Domain-Specific Processor for Angstrom-Era Nodes cites this paper.

Physical Design Exploration of a Wire-Friendly Domain-Specific Processor for Angstrom-Era Nodes AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:30:35.526534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T23:30:35.423354Z digest=sha256:abac340af56ddec7c41087c9b45969105d89a0ea3d5d610877c295484a345584