Pith. sign in

Paper Citation Record · LEDGER

MLIR: A Compiler Infrastructure for the End of Moore's Law

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2002.11054.

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

pith.paper-citation-record.v1
2002.11054 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:59:25.028499Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

120
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Tensor Evolution: A Framework for Fast Evaluation of Tensor Computations using Recurrences cites this paper.

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.

source=pdf_text observed=2026-08-09T04:59:25.028499Z digest=sha256:edf7d9352e2bcd29d184a8c2841ece735693e4310ade3c29fddf3b46884ea1d3

Observation 7c323fe2-d104-4b4b-a42f-84ed515f1f7b · inbound

MojoFrame: Dataframe Library in Mojo Language cites this paper.

MojoFrame: Dataframe Library in Mojo Language MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:10:31.585716Z

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.

source=pdf_text observed=2026-05-25T08:06:52.192881Z digest=sha256:6d35a46ddf2e2d3733c8961bff0fcc914a6e68787cb9b7651d318d5aceb88368

Observation e908494c-650e-4ee7-86a1-0578fc97c03a · inbound

A Unified Framework for Mapping and Synthesis of Approximate R-Blocks CGRAs cites this paper.

A Unified Framework for Mapping and Synthesis of Approximate R-Blocks CGRAs MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:35.068726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:35.068726Z digest=sha256:9145b600ecb0f7f35eea110c8848a2e17481ca44c820c17cd9ea443b20432b29

Observation 1560df72-affb-4e3c-b09f-8cf44e6b29ee · inbound

Improving compiler support for SIMD offload using Arm Streaming SVE cites this paper.

Improving compiler support for SIMD offload using Arm Streaming SVE MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:29:56.600962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:29:56.600962Z digest=sha256:7b06b56051884266a9675feb04cea0cd08db65169657678e548f9309ea664789

Observation dc971b20-34fc-4aa1-8912-b51e376f153b · inbound

Re-thinking Memory-Bound Limitations in CGRAs cites this paper.

Re-thinking Memory-Bound Limitations in CGRAs MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T21:04:49.558995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:04:49.558995Z digest=sha256:211b5913808ea0fae084387a00bd89d1b3ee4b06f42a489015ea97e61ef330a2

Observation e04ff359-c48e-4e01-a6b6-c6632703e9aa · inbound

GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2 cites this paper.

GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2 MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:06:35.039665Z

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.

source=pdf_text observed=2026-05-18T16:04:29.215393Z digest=sha256:3427743267676428f4dad4d11a6f937aa93348e11a3a3af11f0f1df8acadeb3e

Observation 87476b99-4296-4d3b-b1cc-ccc1c83af7e0 · inbound

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs cites this paper.

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T16:42:12.716443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:42:12.716443Z digest=sha256:9b796083ef77dbb5867ed3d092cb96d5efd3b35ac0d86f36574b19e65d233591

Observation f7d6f04c-c5b9-457f-8aaa-d35c3d966914 · inbound

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta cites this paper.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 2006

Resolution
unresolved
no resolver link, observed 2026-08-03T13:45:23.834738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:45:23.834738Z digest=sha256:795af6db52009c7e7fc4d95651802aa93b25f5d97057aca1c8fa5c9a2207514d

Observation a42ef834-2714-4f7b-bb22-b96ab766d84f · inbound

From LLM to Silicon: RL-Driven ASIC Architecture Exploration for On-Device AI Inference cites this paper.

From LLM to Silicon: RL-Driven ASIC Architecture Exploration for On-Device AI Inference MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:06:09.506827Z

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.

source=pdf_text observed=2026-05-10T17:18:04.530109Z digest=sha256:c8d0fe358ed1c12fe57f96fd8b19f66d3a7b6c85e3a0bd3cea960b7ec732031c

Observation 64594c5f-80b8-40f0-aeaa-4cb560ab49b9 · inbound

CODO: An Automated Compiler for Comprehensive Dataflow Optimization cites this paper.

CODO: An Automated Compiler for Comprehensive Dataflow Optimization MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:45:51.919057Z

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.

source=pdf_text observed=2026-05-10T14:36:13.820446Z digest=sha256:74116a1dc627c873c0131a46974fbe9675c57a5287537f3c426e7e3312308cb1

Observation 79ed6b2b-e40a-4705-bfce-2c60cc725e5c · inbound

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels cites this paper.

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:24:21.480185Z

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.

source=pdf_text observed=2026-05-10T10:21:05.219519Z digest=sha256:c7893cea445143db973e85c0269bf2462293592de8f1ebb5a19dddb37167b368

Observation 4384c9d5-07bf-446c-8630-008b9a103be1 · inbound

Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey cites this paper.

Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-10T01:15:15.870363Z

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.

source=pdf_text observed=2026-05-10T01:13:40.137329Z digest=sha256:a5c008f96ffe9a68f84a6ea1de9dc1725d88d82aab399c9f8c573d2a5bb3672b

Observation 95c96a1d-5b75-4916-bf63-290fee8a2130 · inbound

Integrated photonic computing: towards high-dimensional information processing cites this paper.

Integrated photonic computing: towards high-dimensional information processing MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:23:44.276582Z

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.

source=pdf_text observed=2026-05-20T21:22:57.590347Z digest=sha256:f3c8551c99b6f5a4b7119da393c53ce96b07c4892b2a024356ce762cfe69b9e3

Observation 93be915f-2d1f-484b-8cfe-b97a475f4faa · inbound

AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training cites this paper.

AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T01:03:18.345460Z

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.

source=arxiv_source observed=2026-05-20T01:03:08.765350Z digest=sha256:b3a1ba988f38700854170f45f3ac1814fa40639f69811780f6729c957a21ffca

Observation 7d9bc5c4-3503-4d86-8e7b-8d6aebb903ef · inbound

Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search cites this paper.

Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:27.744519Z

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.

source=pdf_text observed=2026-06-27T17:32:44.490621Z digest=sha256:9f344a1c6d38ed1b85a4548b2098079d56d7797a58a7832743600cf8f2dd6baf

Observation 1656d1ba-f231-423a-90ed-7e98307353e6 · inbound

NektarIR: A Domain-Specific Compiler for High-Order Finite Element Operations on Heterogeneous Hardware cites this paper.

NektarIR: A Domain-Specific Compiler for High-Order Finite Element Operations on Heterogeneous Hardware MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T05:59:37.223383Z

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.

source=pdf_text observed=2026-06-26T15:08:02.723799Z digest=sha256:70197d4c59faf5d9b528908e28d228260b5545f92ceafa22efaa0e9af1cbef39

Observation 30668b16-dfad-42ab-807e-c86f460a439f · inbound

Pattern-Guided Design Space Exploration for FPGA Accelerator Design cites this paper.

Pattern-Guided Design Space Exploration for FPGA Accelerator Design MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T00:17:24.717495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:17:24.717495Z digest=sha256:5a82fc6395f188fdb7716dfe84ddf1c52e4268e5ed6f68890331d09a330f8afb

Observation a912323f-319e-4aa3-a768-3abdf1ddffd0 · inbound

An MLIR-Based Compilation Method for Large Language Models cites this paper.

An MLIR-Based Compilation Method for Large Language Models MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T22:09:53.560657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:09:53.560657Z digest=sha256:e00eceb9442d8c91bc8fabe1db78fc71ce70679cebb66b1f8a30997c0bf382c1

Observation e35000e3-a379-468c-a816-1fa89c7d9034 · inbound

From Intent to Infrastructure: LLM-Driven Agent Compilers for ISAC Networks cites this paper.

From Intent to Infrastructure: LLM-Driven Agent Compilers for ISAC Networks MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T08:24:00.375168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:24:00.375168Z digest=sha256:93a961d2be6d0515f02ad4d90605f1652b2fc5b7d00f2ec2fbb2b65a7700bd35

Observation 9c169599-1e0a-4cc0-a869-2ca5d7482d2a · inbound

DeComp2: Description Complexity aware Decomposition cites this paper.

DeComp2: Description Complexity aware Decomposition MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-31T23:24:28.039849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:24:28.039849Z digest=sha256:e12cc2d3a49cc92d68dfb548dfb944fc1d5e3b17e3dbdd32da31197d8e083bb7

Observation 02e1d424-56ce-4d40-b0a0-b84cc1bb7f29 · inbound

Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators cites this paper.

Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T00:47:04.979536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:47:04.979536Z digest=sha256:36f28c3a715167dcf92c6eb173a28014b5cfa19cb79f4a18d498264675da1528

Observation cd95cba4-552f-4e8f-9590-8fef3b6a761c · inbound

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? cites this paper.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-05T04:38:11.287018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:38:11.287018Z digest=sha256:dd2c18ee64d407f761c79f2bda1098b0f70382afbdaa7387aa28aa347e1348a7