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Paper Citation Record · LEDGER

Lifting to tensors when compiling scientific computing workloads for AI Engines

As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.03566.

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

pith.paper-citation-record.v1
2605.03566 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T14:21:31.938325Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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 fuzzy18
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 70dcaa2a-d9af-4405-8e19-471a9f7e5af0 · outbound

This paper cites Exploring the versal ai engines for accelerating stencil- based atmospheric advection simulation.

Lifting to tensors when compiling scientific computing workloads for AI Engines Exploring the versal ai engines for accelerating stencil- based atmospheric advection simulation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.944414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1eb65fe1-9775-4182-acef-03c2f25e4f88 · outbound

This paper cites Evaluating versal ai engines for option price discovery in market risk analysis.

Lifting to tensors when compiling scientific computing workloads for AI Engines Evaluating versal ai engines for option price discovery in market risk analysis

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.958572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:d769e1a41fd874c5b3feefa516ee54c1701cd8250ab3340198433967550c627f

Observation fd25941a-0598-4408-9937-0bbcf30089e9 · outbound

This paper cites Efficiency, expressivity, and extensibility in a close- to-metal npu programming interface.

Lifting to tensors when compiling scientific computing workloads for AI Engines Efficiency, expressivity, and extensibility in a close- to-metal npu programming interface

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.902102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 45d4aad9-dbdf-4e61-91c1-0fe0eaa2d57f · outbound

This paper cites Fortran high-level synthesis: Reducing the barriers to accelerating hpc codes on fpgas.

Lifting to tensors when compiling scientific computing workloads for AI Engines Fortran high-level synthesis: Reducing the barriers to accelerating hpc codes on fpgas

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.929997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:713eff50799fe582583daec060f88d9a7e5a1d4b7bc3187471b022d4b3df3511

Observation ded514aa-9eb5-446b-b97c-cdf4b7f94b42 · outbound

This paper cites [Online].

Lifting to tensors when compiling scientific computing workloads for AI Engines [Online]

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.933079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:48267f3a3c90a13c225f95733db1049aca655f7618103821c33d971b3ba80c9a

Observation fe95cbaa-db2f-46bb-9622-94ce822422b1 · outbound

This paper cites A dataflow overlay for monte carlo multi-asset option pricing on amd versal ai engines.

Lifting to tensors when compiling scientific computing workloads for AI Engines A dataflow overlay for monte carlo multi-asset option pricing on amd versal ai engines

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.936783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:f6faba5b8f00210821cdc1c4c73ab9512448191b87db58658bf3a3bf5405bded

Observation 5ca1fdff-e78b-43eb-aa9a-b77f44c6fd9f · outbound

This paper cites New filter2d accelerator on the versal platform powered by the ai engine.

Lifting to tensors when compiling scientific computing workloads for AI Engines New filter2d accelerator on the versal platform powered by the ai engine

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.905686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:1ed7045707e8f6004705088fc947b24f43a907d4d10f9281cb0692479c242081

Observation d784095d-337d-4f02-8201-3b0222fd0077 · outbound

This paper cites An end-to-end programming model for ai engine architectures.

Lifting to tensors when compiling scientific computing workloads for AI Engines An end-to-end programming model for ai engine architectures

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.908720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:bba1baa3737c67c30bb2fec3c33272fc4b7f5cf4c40802f40bab38c725d2e0d9

Observation 39e410ef-3b14-45ce-affb-cd163a6a4584 · outbound

This paper cites Enabling fpga and ai engine tasks in the hpx programming framework for heterogeneous high-performance computing.

Lifting to tensors when compiling scientific computing workloads for AI Engines Enabling fpga and ai engine tasks in the hpx programming framework for heterogeneous high-performance computing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.954854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:fd978514d7e1b8b9bbe7b0a39996240604c1feffd1de400b1dd5e33a76035b35

Observation b5f34d64-aa6b-47bb-96a3-388d63744ca4 · outbound

This paper cites Seamless acceleration of fortran intrinsics via amd ai engines.

Lifting to tensors when compiling scientific computing workloads for AI Engines Seamless acceleration of fortran intrinsics via amd ai engines

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.950902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:148150d801e079412532b6cfbb303c2734aea0385628174f5338e0d0ba98f648

Observation 2479a014-66e4-4a07-91d2-8cde7391ed0b · outbound

This paper cites Fully integrating the flang fortran compiler with standard mlir.

Lifting to tensors when compiling scientific computing workloads for AI Engines Fully integrating the flang fortran compiler with standard mlir

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.915082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:b587c4a1642e31edfb4370f52a6d226978cd29b995d83741d9bc202d85bbd7cd

Observation 00974d21-ffd1-46da-8e37-ebc22c464321 · outbound

This paper cites OpenMP device offloading to FPGAs using the Nymble infrastructure.

Lifting to tensors when compiling scientific computing workloads for AI Engines OpenMP device offloading to FPGAs using the Nymble infrastructure

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.947817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:67c3a9736e78dae06f05d34d30161c59a2ddab5d2e03cc0c3d5993f027c69233

Observation cafc8619-af9a-43f0-8256-514f93ed5c5b · outbound

This paper cites An mlir pipeline for offloading fortran to fpgas via openmp.

Lifting to tensors when compiling scientific computing workloads for AI Engines An mlir pipeline for offloading fortran to fpgas via openmp

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.918345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:5cad0604b0683366ce94b724efa20886915a3a576093f49dc3a53840380b6445

Observation 324b9220-ea07-4d57-b4da-542a5964516e · outbound

This paper cites Tensorize: Fast synthesis of tensor programs from legacy code using symbolic tracing, sketching and solving.

Lifting to tensors when compiling scientific computing workloads for AI Engines Tensorize: Fast synthesis of tensor programs from legacy code using symbolic tracing, sketching and solving

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.923356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:366377fdc439530bbcd7615be85b92341ecff80fa843140017cab59b348b90b4

Observation 3ce8eebc-10f0-4822-94be-c99abd54e52a · outbound

This paper cites Programmer productivity and performance on amd’s ai engines: Offloading fortran intrinsics via mlir a case-study.

Lifting to tensors when compiling scientific computing workloads for AI Engines Programmer productivity and performance on amd’s ai engines: Offloading fortran intrinsics via mlir a case-study

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.941139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:d647620b3c189ba92b557c797627fb7f83ec88bd4cee599a09ebbf5fb9ebd26a

Observation f3d0e57c-27ac-466c-8420-b2374a59c89e · outbound

This paper cites [Online].

Lifting to tensors when compiling scientific computing workloads for AI Engines [Online]

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.911766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:0249aedca82f165404b459bc4c696173816a253202a5550e800e54c6848f3fba

Observation d451dd92-77b7-4f02-9965-ecb37bb7cce7 · outbound

This paper cites [Online].

Lifting to tensors when compiling scientific computing workloads for AI Engines [Online]

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.926545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:d7766503acf38aae120195c5ea00cdd386afbb53051fc6896c92b3ec26dbbfd6

Observation 2b091dba-d7e1-408a-bb88-79553c3f3f9c · outbound

This paper cites [Online].

Lifting to tensors when compiling scientific computing workloads for AI Engines [Online]

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T12:04:03.898516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:07f7ec810ee01a26ad424495cb062ec1a015d28fb0e2864b7fcfc7e73f234830

Observation c1aa559f-6a48-492a-ae24-2827364a6bd4 · outbound

This paper cites A highly scalable Met Office NERC Cloud model.

Lifting to tensors when compiling scientific computing workloads for AI Engines A highly scalable Met Office NERC Cloud model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:30.308366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T14:21:31.938325Z digest=sha256:39b47d12adbc172ea0eabfaf61cacd56ca9bd11d9113c78e4cbadbdddc95d7a4

Pith citing papers

No inbound Pith citation observations are available.