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Paper Citation Record · LEDGER

Compiling ONNX Neural Network Models Using MLIR

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2008.08272.

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

pith.paper-citation-record.v1
2008.08272 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:07.651147Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:29:01.081748Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2fbd6698-31a0-4564-8fee-f31ad5e5b84b · inbound

WAMI: Compilation to WebAssembly through MLIR without Losing Abstraction cites this paper.

WAMI: Compilation to WebAssembly through MLIR without Losing Abstraction Compiling ONNX Neural Network Models Using MLIR

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:07.651147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:07.651147Z digest=sha256:cce74fe96cd98426f467755ed03e69941e66d9dac29e5aacc76fa3b274d005c0

Observation 531f5d7d-7dcd-43b2-83df-f98de157ebff · inbound

Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems cites this paper.

Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems Compiling ONNX Neural Network Models Using MLIR

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:10.082227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:19:10.082227Z digest=sha256:2ea12cd5feb0243ed7e07de175f9746df38859c2910b3f2219656d1786642e13

Observation 10177488-b553-4498-9659-11bcd74c5eb4 · inbound

Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective cites this paper.

Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective Compiling ONNX Neural Network Models Using MLIR

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-04T19:39:05.493826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:39:05.493826Z digest=sha256:1f08df18d3b166e8ef81c0e118403007399c281e71586a27b4d58df191eb37b1

Observation be4090b4-7e5f-4d27-a9f8-56895a4efd83 · inbound

Tensor Algebraic Property Skeletons: Amplifying Property-Based Testing for AI Compilers cites this paper.

Tensor Algebraic Property Skeletons: Amplifying Property-Based Testing for AI Compilers Compiling ONNX Neural Network Models Using MLIR

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.566893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T00:00:07.129336Z digest=sha256:15e959da651c73771b17c003c26178c20681ea4e58cb1f91c75752cadd449dc5

Observation da951a0c-1636-4f6a-a23f-cfd8cf1f30ff · inbound

Finding Compiler-Platform Interaction Bugs in Deep Learning Pipelines via Cross-Layer Constraints cites this paper.

Finding Compiler-Platform Interaction Bugs in Deep Learning Pipelines via Cross-Layer Constraints Compiling ONNX Neural Network Models Using MLIR

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:29:01.083094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T23:30:03.186368Z digest=sha256:7e0696bf359f8532eff37a36c1edee2aa2750dda5135eb9095428fea4797ee1b

Observation 3b471db9-e75b-4665-a872-d199f64de548 · inbound

MLIR for Quantum Beyond Gate Cancellation: Quantum Circuit Mapping Reimagined cites this paper.

MLIR for Quantum Beyond Gate Cancellation: Quantum Circuit Mapping Reimagined Compiling ONNX Neural Network Models Using MLIR

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T08:54:39.253884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:54:39.253884Z digest=sha256:5b894050ee0b2aec5fa573c6965731ab89d0ebd1d7c422ebe989101547fab30e