Paper Citation Record · LEDGER

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs

As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.01457.

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

pith.paper-citation-record.v1
2507.01457 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:55:38.128318Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

19 of 19 outbound references displayed

verified exact1
verified fuzzy8
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57e00dbe-5442-4d67-9d92-2ec91711af0d · outbound

This paper cites Xuantie-910: A commercial multi-core 12-stage pipeline out-of-order 64-bit high performance risc-v processor with vector extension : Indus- trial product,.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Xuantie-910: A commercial multi-core 12-stage pipeline out-of-order 64-bit high performance risc-v processor with vector extension : Indus- trial product,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:39.700218Z

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 aadebd90-13a7-4425-a077-64e0586c9964 · outbound

This paper cites banana pi bpi-f3 [Online].

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs banana pi bpi-f3 [Online]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:39.464450Z

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 5339ec5c-3b1b-46f8-abf2-5ac2197e3fb0 · outbound

This paper cites Instruction Scheduling in the Saturn Vector Unit.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Instruction Scheduling in the Saturn Vector Unit

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:36.881946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db3a4ba-cfbd-4687-b6ab-5cfa5288fa81 · outbound

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

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Spatz: Clustering compact risc-v-based vector units to maximize computing efficiency,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:39.250903Z

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 8b7daff0-28ae-4987-8f39-0bd13aab19bd · outbound

This paper cites A “new ara.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs A “new ara

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:38.968039Z

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 3c3cb3fa-7521-49bc-8836-67e45623f9b0 · outbound

This paper cites Performance left on the table: An evaluation of compiler autovectorization for risc-v,.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Performance left on the table: An evaluation of compiler autovectorization for risc-v,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:38.829422Z

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 4a30641e-4506-403e-bd51-838ba8b476d7 · outbound

This paper cites muriscv-nn: Challenging zve32x autovectorization with tinyml inference library for risc-v vector extension,.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs muriscv-nn: Challenging zve32x autovectorization with tinyml inference library for risc-v vector extension,

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T20:55:38.464257Z

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 c510fec8-9410-491c-aca1-65f38e35bfc6 · outbound

This paper cites Learning to Optimize Tensor Programs.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Learning to Optimize Tensor Programs

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:55:38.316097Z

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 d241ca44-4731-4c12-9068-444b747395e7 · outbound

This paper cites Tensor Program Optimization with Probabilistic Programs.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Tensor Program Optimization with Probabilistic Programs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:37.432572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa2350e-5950-486c-9968-7581cf63b1c8 · outbound

This paper cites Chipyard: Integrated design, simulation, and implementation framework for custom socs,.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Chipyard: Integrated design, simulation, and implementation framework for custom socs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:38.722846Z

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 7b6910a5-d4dd-428a-80f1-4a9eec26503f · outbound

This paper cites zephyr [Online].

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs zephyr [Online]

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:38.649878Z

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 534fb257-e080-436e-a9ed-1bdc4cb56d51 · outbound

This paper cites MLPerf Tiny Benchmark.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs MLPerf Tiny Benchmark

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:37.780009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6e93f6-28d8-4fdc-b5ce-7034b7af2e4c · outbound

This paper cites Deep Residual Learning for Image Recognition.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Deep Residual Learning for Image Recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:37.927590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aafd7c78-c065-49bb-8e43-57737e283794 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:37.987577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a637d4b4-d72e-4cb9-9c8e-6af07d9ceaf0 · outbound

This paper cites Unsupervised representation learning with deep convolutional generative adversarial networks,.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Unsupervised representation learning with deep convolutional generative adversarial networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:55:38.555871Z

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 fd7832dc-2d8d-48ad-aa12-15a8d98c05ea · outbound

This paper cites MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:38.128318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fefeb28-00b4-4302-9ea3-fb880fb808cc · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:38.090604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d41000-d095-4c25-8e5a-224bf2190432 · outbound

This paper cites Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:37.699370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190e1062-3a77-44b1-a8cf-2f86b3add759 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:37.901490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.