Paper Citation Record · LEDGER

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.03402.

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

pith.paper-citation-record.v1
2502.03402 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:59:25.083991Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy7
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7616ac76-3c74-4928-8ee1-af06b496625d · outbound

This paper cites MLIR: A Compiler Infrastructure for the End of Moore's Law.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T04:59:25.028499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ec8a27-70c8-4ec4-aa91-7b55bb90caaa · outbound

This paper cites Glow: Graph Lowering Compiler Techniques for Neural Networks.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Glow: Graph Lowering Compiler Techniques for Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T04:59:25.032584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26322d95-720d-4b03-885e-178012a55df0 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T04:59:25.036137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9707dee8-2db1-4358-b1bb-c75ab5493850 · outbound

This paper cites TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T04:59:25.039964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7efdf039-a5e2-4205-b559-a3780ece91a4 · outbound

This paper cites Tutorial: Scalar Evolution - Demystified.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Tutorial: Scalar Evolution - Demystified

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:59:25.236234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c6476ea-ffd1-4779-966a-031586ef9706 · outbound

This paper cites Technical Talk: Tensor Evolution- An ML Graph Optimization Technique.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Technical Talk: Tensor Evolution- An ML Graph Optimization Technique

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:59:25.227036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 664d8afe-343e-4096-b5f3-24e6a080a512 · outbound

This paper cites an unresolved cited work.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T04:59:25.050656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7345e53-890d-4f36-a61d-dafe837b4c1c · outbound

This paper cites Gomez and Lukasz Kaiser and Illia Polo- sukhin.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Gomez and Lukasz Kaiser and Illia Polo- sukhin

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:59:25.217645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7b1af7c-0506-4c71-ba0b-b7f7a8e54d76 · outbound

This paper cites an unresolved cited work.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:59:25.206583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation addceb4f-2585-466b-8941-3aab779818f8 · outbound

This paper cites Computational Reduciblity, Wolfram Mathworld.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Computational Reduciblity, Wolfram Mathworld

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:59:25.196445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 245eb14f-42a4-4ef7-83a5-d328119493b0 · outbound

This paper cites On Computational Properties of Chains of Recurrences.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences On Computational Properties of Chains of Recurrences

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:59:25.187535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32c00aa9-48ca-435b-97e0-0baccd8a30d4 · outbound

This paper cites Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T04:59:25.073231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e4c737-3080-4e9e-803b-4d6aef97914d · outbound

This paper cites an unresolved cited work.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:59:25.177624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfe011fb-2f86-4e5d-871c-81707585ba40 · outbound

This paper cites Chains of Recurrences - a method to expedite the evaluation of closed-form functions.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Chains of Recurrences - a method to expedite the evaluation of closed-form functions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:59:25.167533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3c73bca-7616-4540-982e-9a8f21825c73 · outbound

This paper cites Lethin and Allen Leung and Beno ˆ ıt Meister and P´ eter Szil´ agyi and Nicholas Vasilache and David Wohlford.

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences Lethin and Allen Leung and Beno ˆ ıt Meister and P´ eter Szil´ agyi and Nicholas Vasilache and David Wohlford

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:59:25.156737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.