Paper Citation Record · LEDGER

FluidML: Fast and Memory Efficient Inference Optimization

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2411.09242.

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

pith.paper-citation-record.v1
2411.09242 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:56:15.620948Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

52 of 52 outbound references displayed

verified exact3
verified fuzzy13
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c46a14b-1056-44cc-81f3-b66999537102 · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.352187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ddb99e-1cbf-4df8-9ae1-2784b73a2ecf · outbound

This paper cites GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch , 9 2023.

FluidML: Fast and Memory Efficient Inference Optimization GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch , 9 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.878701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a371ee6-a733-4e5e-b3d7-2a65a34d81a2 · outbound

This paper cites High Performance Code Generation in MLIR: An Early Case Study with GEMM.

FluidML: Fast and Memory Efficient Inference Optimization High Performance Code Generation in MLIR: An Early Case Study with GEMM

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.363489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d28679-13a3-4408-b167-bf29d096d115 · outbound

This paper cites The slab allocator: an object-caching kernel memory allocator.

FluidML: Fast and Memory Efficient Inference Optimization The slab allocator: an object-caching kernel memory allocator

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.857233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba640ada-42f8-4be8-bdcd-296794f8006e · outbound

This paper cites J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q.

FluidML: Fast and Memory Efficient Inference Optimization J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.375817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 e2cac0c7-83e4-447c-9e2a-aa4d963e85af · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.387520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b706b7-3ec3-4e60-80e3-3799153b1ffa · outbound

This paper cites Intel(r) math kernel library for deep neural networks (intel(r) mkl-dnn).

FluidML: Fast and Memory Efficient Inference Optimization Intel(r) math kernel library for deep neural networks (intel(r) mkl-dnn)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.820009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ff634b7-3931-496e-b56f-49dffeac24c3 · outbound

This paper cites TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems.

FluidML: Fast and Memory Efficient Inference Optimization TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.397594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e0dda72-379b-451d-9e03-21bb2eb33b8b · outbound

This paper cites Tensorflow lite micro: Embedded machine learning for tinyml systems.

FluidML: Fast and Memory Efficient Inference Optimization Tensorflow lite micro: Embedded machine learning for tinyml systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.802748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d102845-b61d-4a27-a197-b8df7e7fb21f · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:56:16.782712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bb98dc0-72c8-4adf-a419-8b276598b219 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

FluidML: Fast and Memory Efficient Inference Optimization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.412985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7921ea0-f8ae-4312-a12f-90cf00bbc586 · outbound

This paper cites Algorithms for compile-time memory optimization.

FluidML: Fast and Memory Efficient Inference Optimization Algorithms for compile-time memory optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.763065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8a9c8a04-cd6f-4927-a43d-cb41d951dbcb · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:56:16.743662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab60ea0e-a3ba-4910-a915-cdc994f06cc6 · outbound

This paper cites and Geijn, R.

FluidML: Fast and Memory Efficient Inference Optimization and Geijn, R

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.428402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6efccda-0494-45be-95ab-ca700345e725 · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-12T20:56:15.676860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e013fa76-f195-47ba-8175-c2b45a6a39ca · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

FluidML: Fast and Memory Efficient Inference Optimization Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.438510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330c517a-6c1b-4ce8-8a1b-4e1dfa0b060e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

FluidML: Fast and Memory Efficient Inference Optimization Distilling the Knowledge in a Neural Network

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.443882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec94146e-6de9-4959-97f2-88dbe04eb24c · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:56:16.725128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47a0e427-e4dc-4539-9b3a-4b2a3a4a5a33 · outbound

This paper cites Openvino.

FluidML: Fast and Memory Efficient Inference Optimization Openvino

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.708624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54873ebe-6de1-4abc-afe2-11d86425316a · outbound

This paper cites ConvBERT: Improving BERT with Span-based Dynamic Convolution.

FluidML: Fast and Memory Efficient Inference Optimization ConvBERT: Improving BERT with Span-based Dynamic Convolution

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.460527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3266c7c-d358-4813-83ac-b72e9fd23524 · outbound

This paper cites FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference.

FluidML: Fast and Memory Efficient Inference Optimization FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.466664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0647653-e7a9-4bb6-aef9-ce4697c75ab2 · outbound

This paper cites W., and Keutzer, K.

FluidML: Fast and Memory Efficient Inference Optimization W., and Keutzer, K

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.692107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0204436d-8b31-4502-83f9-59772d9e8992 · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:56:16.674612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29196095-6593-4a14-8ddd-c66b900bb85b · outbound

This paper cites CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs.

FluidML: Fast and Memory Efficient Inference Optimization CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.481470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75fe1ef6-a324-49c9-8f69-17b1186b8030 · outbound

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

FluidML: Fast and Memory Efficient Inference Optimization MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.486087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e905d47-f3a4-4035-837d-b946e51f15c1 · outbound

This paper cites MLIR : Scaling compiler infrastructure for domain specific computation.

FluidML: Fast and Memory Efficient Inference Optimization MLIR : Scaling compiler infrastructure for domain specific computation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.491457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867c6d68-25de-4b0d-9dcd-11f0f7f0c093 · outbound

This paper cites Compiling ONNX Neural Network Models Using MLIR.

FluidML: Fast and Memory Efficient Inference Optimization Compiling ONNX Neural Network Models Using MLIR

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.495894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a0f5617-e628-427f-8c59-a7f86c1579a8 · outbound

This paper cites On-Device Neural Net Inference with Mobile GPUs.

FluidML: Fast and Memory Efficient Inference Optimization On-Device Neural Net Inference with Mobile GPUs

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd8231fb-ed7e-4a60-917d-9c73b56192eb · outbound

This paper cites MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning.

FluidML: Fast and Memory Efficient Inference Optimization MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.506081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4f2966-590c-4e7e-aaf0-b1f1d064f4ad · outbound

This paper cites and Deng, W.

FluidML: Fast and Memory Efficient Inference Optimization and Deng, W

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.511170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f86e7b1-706e-4333-960f-05d662e9c11b · outbound

This paper cites Optimizing CNN model inference on CPUs.

FluidML: Fast and Memory Efficient Inference Optimization Optimizing CNN model inference on CPUs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.657661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b5caed0-8a29-4675-bb2f-cfc91d4af710 · outbound

This paper cites Rammer: Enabling holistic deep learning compiler optimizations with rTasks.

FluidML: Fast and Memory Efficient Inference Optimization Rammer: Enabling holistic deep learning compiler optimizations with rTasks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.520957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0c3e2f-d18e-493c-ba61-766a99ef7dae · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 11a49a10-119a-4226-bb22-260ccd0aad17 · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3969b7f-7fca-457e-95a5-da03fa5cc8e7 · outbound

This paper cites Tensorrt.

FluidML: Fast and Memory Efficient Inference Optimization Tensorrt

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.611754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a37fea0-d617-4a59-9ac2-5226e0d6a1d4 · outbound

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

FluidML: Fast and Memory Efficient Inference Optimization PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f52dbcd3-e8e0-4f12-a81e-859755eea8d2 · outbound

This paper cites Efficient Memory Management for Deep Neural Net Inference.

FluidML: Fast and Memory Efficient Inference Optimization Efficient Memory Management for Deep Neural Net Inference

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b8ccd284-3882-4be1-899b-067239ed600e · outbound

This paper cites Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines.

FluidML: Fast and Memory Efficient Inference Optimization Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.552456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61996e79-8239-4cac-94e3-19e8a18c9c0d · outbound

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

FluidML: Fast and Memory Efficient Inference Optimization Glow: Graph Lowering Compiler Techniques for Neural Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.558547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7e3904-88dc-4e36-9328-81398812238f · outbound

This paper cites Xla : Compiling machine learning for peak performance, 2020.

FluidML: Fast and Memory Efficient Inference Optimization Xla : Compiling machine learning for peak performance, 2020

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.594812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c954bb67-6291-4847-b3c3-0945b98bf92e · outbound

This paper cites Efficient Transformers: A Survey.

FluidML: Fast and Memory Efficient Inference Optimization Efficient Transformers: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.569068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a777bded-2662-4b06-8289-855dd326dab3 · outbound

This paper cites IREE , September 2019.

FluidML: Fast and Memory Efficient Inference Optimization IREE , September 2019

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.579026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 363f2bf0-1ae2-457f-82bf-79e47cab334d · outbound

This paper cites Attention Is All You Need.

FluidML: Fast and Memory Efficient Inference Optimization Attention Is All You Need

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.579575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7855c6d-940a-4e13-a323-193a0f8ade81 · outbound

This paper cites Augem: Automatically generate high performance dense linear algebra kernels on x86 cpus.

FluidML: Fast and Memory Efficient Inference Optimization Augem: Automatically generate high performance dense linear algebra kernels on x86 cpus

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.584899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ffc36d-2cdd-4f0f-ac66-1aa7e8a9dca7 · outbound

This paper cites an unresolved cited work.

FluidML: Fast and Memory Efficient Inference Optimization Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:56:16.563719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67f7592a-28c4-406a-909f-8afcd4bb9f33 · outbound

This paper cites Model-driven level 3 blas performance optimization on loongson 3a processor.

FluidML: Fast and Memory Efficient Inference Optimization Model-driven level 3 blas performance optimization on loongson 3a processor

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.595781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a66df72-f32a-41b1-ba77-4ab3357bfea5 · outbound

This paper cites DeepCPU : Serving RNN-based deep learning models 10x faster.

FluidML: Fast and Memory Efficient Inference Optimization DeepCPU : Serving RNN-based deep learning models 10x faster

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.547933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9656f4ed-f265-46c7-9bdf-6434388e5888 · outbound

This paper cites H., Haj-Ali, A., Wang, Y., Yang, J., Zhuo, D., Sen, K., Gonzalez, J.

FluidML: Fast and Memory Efficient Inference Optimization H., Haj-Ali, A., Wang, Y., Yang, J., Zhuo, D., Sen, K., Gonzalez, J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:56:16.531220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f583c32-1c31-45a0-8511-a2fd3c574681 · outbound

This paper cites vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs.

FluidML: Fast and Memory Efficient Inference Optimization vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:56:15.730113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ee2c716-5ce3-4f87-8c01-a730e8241a36 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

FluidML: Fast and Memory Efficient Inference Optimization Neural Architecture Search with Reinforcement Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.615628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ac0616-10e2-4c9c-9291-206640762832 · outbound

This paper cites write newline.

FluidML: Fast and Memory Efficient Inference Optimization write newline

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T20:56:15.620948Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.