Paper Citation Record · LEDGER

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1802.04799.

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

pith.paper-citation-record.v1
1802.04799 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:48:51.640848Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

141
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 35733c97-50cf-4b60-b5e6-f7310f69d9d3 · inbound

FluidML: Fast and Memory Efficient Inference Optimization cites this paper.

FluidML: Fast and Memory Efficient Inference Optimization TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.381198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87cf4853-0206-450a-8cae-56f0b7274a50 · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:38.645831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9707dee8-2db1-4358-b1bb-c75ab5493850 · 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 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 e9d2cc3c-4d23-4b4c-9301-fd1bdfc6c4c5 · inbound

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning cites this paper.

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:37:15.742334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43c6a8f-9f85-435a-abbe-b3a04a375619 · inbound

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration cites this paper.

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:33.008613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1c7c7c-5f76-4e4f-9d54-2b59c21759ad · inbound

Demystifying the 7-D Convolution Loop Nest for Data and Instruction Streaming in Reconfigurable AI Accelerators cites this paper.

Demystifying the 7-D Convolution Loop Nest for Data and Instruction Streaming in Reconfigurable AI Accelerators TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T17:48:51.640848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e377c4-5b63-4357-8f60-f2a1e15bcb40 · inbound

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation cites this paper.

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:09.578286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c25970-5aa6-4333-9e53-1b76f7f79ad1 · inbound

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs cites this paper.

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T09:02:30.900606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dcfca20f-d33d-4e93-839c-571db128b570 · inbound

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs cites this paper.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T22:28:42.872936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc2c521d-0451-445b-974b-6a9e01e28fe6 · inbound

Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search cites this paper.

Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T15:55:33.810905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74edd2c1-0441-4aa8-8ee4-38c6d60b215f · 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 TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:24:21.499932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03f93e84-f4e4-48de-acb2-7886d1508be3 · inbound

Prism: Symbolic Superoptimization of Tensor Programs cites this paper.

Prism: Symbolic Superoptimization of Tensor Programs TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:03:24.940391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da4ae8e7-45ec-48b8-902f-aaff96eb442d · inbound

Co-Design of CNN Accelerators for TinyML using Approximate Matrix Decomposition cites this paper.

Co-Design of CNN Accelerators for TinyML using Approximate Matrix Decomposition TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:32:00.358084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb38b398-7eb2-41eb-b401-a047c7669b34 · inbound

HTAM: Hierarchical Transition-Attended Memory for Operator Optimization cites this paper.

HTAM: Hierarchical Transition-Attended Memory for Operator Optimization TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:33:14.100586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2fb78cd3-21fe-4b8a-88c7-a112167c7744 · inbound

On Efficient Scaling of GNNs via IO-Aware Layers Implementations cites this paper.

On Efficient Scaling of GNNs via IO-Aware Layers Implementations TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T19:16:01.106720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff8a7111-d821-4d60-86dd-147dc28e78e0 · inbound

Piper: A Programmable Distributed Training System cites this paper.

Piper: A Programmable Distributed Training System TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T07:57:44.667240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e053ec81-961c-47f3-b64c-0d76d0e01a50 · inbound

Reading AI Model Compilation in MLIR Through the Lens of Formal Theories cites this paper.

Reading AI Model Compilation in MLIR Through the Lens of Formal Theories TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-04T20:40:07.652905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1db8a96d-27c6-4e95-a5b5-698f5abf0810 · inbound

A Multi-Dimensional, Per-Pass Empirical Study of the LLVM Optimization Pipeline cites this paper.

A Multi-Dimensional, Per-Pass Empirical Study of the LLVM Optimization Pipeline TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-01T10:55:42.307133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b15599c9-198f-46f8-bef1-b8d8db21aa32 · inbound

Nova: An End-to-End MLIR Compiler for Deep Learning cites this paper.

Nova: An End-to-End MLIR Compiler for Deep Learning TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:44:47.841074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.