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Paper Citation Record · LEDGER

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.04676.

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

pith.paper-citation-record.v1
2607.04676 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T15:21:14.811340Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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  • verified fuzzy0
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External citation measurements

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Outbound references

Observation f62427a0-c5c3-4c8c-9eb6-4748489dfae5 · outbound

This paper cites Cpu- and gpu-initiated communication strategies for conjugate gradient methods on large gpu clusters,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Cpu- and gpu-initiated communication strategies for conjugate gradient methods on large gpu clusters,

Reference 1

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Observation 17404db8-a19e-42e2-863c-2482051c9543 · outbound

This paper cites Amesos2 and belos: Direct and iterative solvers for large sparse linear systems,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Amesos2 and belos: Direct and iterative solvers for large sparse linear systems,

Reference 2

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Observation a6027d87-78a2-407a-8137-cac28aa366d7 · outbound

This paper cites Newly released capabilities in the distributed-memory superlu sparse direct solver,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Newly released capabilities in the distributed-memory superlu sparse direct solver,

Reference 3

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Observation 31607920-e6e2-4577-8e15-4372b28f8115 · outbound

This paper cites Qiu,Scalable and Efficient Material Point Methods on Modern Computational Platforms.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Qiu,Scalable and Efficient Material Point Methods on Modern Computational Platforms

Reference 4

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Observation 6bb157db-eff6-4d64-b72d-f86302766ee5 · outbound

This paper cites Exploiting sparsity in pruned neural networks to optimize large model training,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Exploiting sparsity in pruned neural networks to optimize large model training,

Reference 5

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Observation c2d0a988-d809-4a31-a29e-4b8125460c84 · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 6

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Observation 6f0615cc-8bfd-4a60-9ee6-cae77341645a · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 7

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Observation a71534aa-34bc-4c4b-a350-69c40ed733ad · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 8

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Observation 5d63d19f-ae58-47e4-a66a-4b80900851fd · outbound

This paper cites Plexus: Taming billion-edge graphs with 3D parallel full-graph GNN training,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Plexus: Taming billion-edge graphs with 3D parallel full-graph GNN training,

Reference 9

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Observation 52721a71-4fb9-47c7-9db8-cb6876a83c9d · outbound

This paper cites Coruscant: Co-designing gpu kernel and sparse tensor core to advocate unstructured sparsity in efficient llm inference,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Coruscant: Co-designing gpu kernel and sparse tensor core to advocate unstructured sparsity in efficient llm inference,

Reference 10

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Observation 4ef92e42-9804-4000-b349-d9ddcba5696f · outbound

This paper cites Sparcml: High-performance sparse communication for machine learning,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Sparcml: High-performance sparse communication for machine learning,

Reference 11

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Observation 52dd8a14-9a5b-4876-acfe-25f4cbdf8d01 · outbound

This paper cites Efficient sparse collective communication and its application to accelerate distributed deep learning,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Efficient sparse collective communication and its application to accelerate distributed deep learning,

Reference 12

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Observation 1044ebae-2a2a-470b-a4ba-013cda24f164 · outbound

This paper cites Efficient sparse matrix-vector multiplication on cuda,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Efficient sparse matrix-vector multiplication on cuda,

Reference 13

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Observation bb73df63-e74c-45f3-bad1-7c8315b6bb78 · outbound

This paper cites Yale sparse matrix package. ii. the nonsymmetric codes,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Yale sparse matrix package. ii. the nonsymmetric codes,

Reference 14

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Observation 586e68e4-a670-4b7b-befb-d67630a106be · outbound

This paper cites Collective communication for 100k+ gpus,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Collective communication for 100k+ gpus,

Reference 15

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Observation 909b1f3a-4f92-4721-8279-ec008c2a36e3 · outbound

This paper cites Perlmutter system architecture,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Perlmutter system architecture,

Reference 16

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Observation ae46f55d-0cdd-4956-a373-5a93facefb5d · outbound

This paper cites [Online].

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms [Online]

Reference 17

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Observation 807b7cb0-9209-4069-88de-6de580712dea · outbound

This paper cites Optimization of collective reduction operations,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Optimization of collective reduction operations,

Reference 18

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Observation a8d350f3-050c-4a56-baaa-086a427b066e · outbound

This paper cites The communication challenge for mpp: Intel paragon and meiko cs-2,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms The communication challenge for mpp: Intel paragon and meiko cs-2,

Reference 19

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Observation 120ddb44-8d76-418a-ad52-73bed5afef6b · outbound

This paper cites Pytorch distributed: Experiences on accelerating data parallel training,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Pytorch distributed: Experiences on accelerating data parallel training,

Reference 20

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Observation 100e2e3d-34ce-4242-b0ce-625045d294a2 · outbound

This paper cites Evaluation criteria for sparse matrix storage formats,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Evaluation criteria for sparse matrix storage formats,

Reference 21

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Observation 169044a9-651a-4703-a280-ededf19f8718 · outbound

This paper cites A systematic survey of general sparse matrix-matrix multiplication,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms A systematic survey of general sparse matrix-matrix multiplication,

Reference 22

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Observation d4bfd998-3e71-45c8-9617-a0886a9589bf · outbound

This paper cites Sparskit: A basic tool kit for sparse matrix computations,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Sparskit: A basic tool kit for sparse matrix computations,

Reference 23

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Observation 2986f675-8c24-4141-a592-0250e19ef315 · outbound

This paper cites Towards a universal fpga matrix-vector multiplication architecture,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Towards a universal fpga matrix-vector multiplication architecture,

Reference 24

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Observation 68acacd3-8275-4445-b362-51b410491b98 · outbound

This paper cites Space-efficient, high- performance rank and select structures on uncompressed bit sequences,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Space-efficient, high- performance rank and select structures on uncompressed bit sequences,

Reference 25

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Observation f19d558e-b878-494e-9f75-78f73520738a · outbound

This paper cites Engineering compact data structures for rank and select queries on bit vectors,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Engineering compact data structures for rank and select queries on bit vectors,

Reference 26

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Observation cf06bc6e-13c8-4659-95de-d072260d0c79 · outbound

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Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Data parallel algorithms,

Reference 27

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Observation 45aed721-fdd7-46b5-a2e6-8092ddc919a9 · outbound

This paper cites PAT: a new algorithm for all-gather and reduce-scatter operations at scale.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms PAT: a new algorithm for all-gather and reduce-scatter operations at scale

Reference 28

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Observation db67110a-5fd1-4a59-8b78-cd89a85e5760 · outbound

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Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Communication algorithm-architecture co-design for distributed deep learning,

Reference 29

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This paper cites Optimization of collective communication operations in mpich,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Optimization of collective communication operations in mpich,

Reference 30

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Observation 4660b373-6de3-43eb-babe-6887fcf8426b · outbound

This paper cites Available: https://doi.org/10.1177/1094342005051521.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Available: https://doi.org/10.1177/1094342005051521

Reference 31

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Observation 4d1c6797-6c4f-46d6-ad69-2fe06156744a · outbound

This paper cites The big send-off: Scalable and performant collectives for deep learning,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms The big send-off: Scalable and performant collectives for deep learning,

Reference 32

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Observation 20749f1f-c089-4361-a692-6dedcd7e603a · outbound

This paper cites Gpudirect,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Gpudirect,

Reference 33

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Observation 752fa151-8599-4733-813a-2b6d150603a8 · outbound

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Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Nccl tests,

Reference 34

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Observation 4469213a-abb2-468a-979b-820e9d58b1ee · outbound

This paper cites The mvapich project: Transforming research into high-performance mpi library for hpc community,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms The mvapich project: Transforming research into high-performance mpi library for hpc community,

Reference 35

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Observation 6e2535c9-ee17-4b03-a591-7784f11056c9 · outbound

This paper cites OSU Micro-Benchmarks,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms OSU Micro-Benchmarks,

Reference 36

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Observation d46c82f8-5cef-4b37-b5ab-9297c5c730ff · outbound

This paper cites 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs,

Reference 37

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Observation 10fa0649-d0ce-48e7-a630-5501080ed703 · outbound

This paper cites Language models are unsupervised multitask learners,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Language models are unsupervised multitask learners,

Reference 38

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Observation 10635bb4-0fa8-46a3-90e4-88898719ce79 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms StarCoder 2 and The Stack v2: The Next Generation

Reference 39

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:c23950ea6e7a7de9923c432b46a1e6c686098566d4f9acd731c575e6f05bc12d

Observation c90ad5c8-46fa-403b-b45f-be4125c0f707 · outbound

This paper cites Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Reference 40

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:9943ac992a29ce52b042144a4d544e868b5893a6a0a22a85e64967ab07e625d1

Observation 92f79a60-09b5-4399-aa3a-a41e6bb070de · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 41

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:efdc40c92f3cafc23736a526d0abf51c5c424ea7c1fa41408e79cfa84388512a

Observation 27cf460e-4b7e-4f57-a337-623ab3b5170f · outbound

This paper cites Gasnet-ex rma communication performance on recent supercomputing systems,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Gasnet-ex rma communication performance on recent supercomputing systems,

Reference 42

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:454c34182c470073b42a687de1e947c013f11eb25f19962deeda25c3c0c0b251

Observation 3eb6af1e-52f6-4479-8878-cdd9b9e674f9 · outbound

This paper cites omnireduce-experiments,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms omnireduce-experiments,

Reference 43

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Observation 4402a446-5692-4c04-9a88-c57abcb843a6 · outbound

This paper cites Available: https://github.com/sands-lab/omnireduce- experiments/commit/a2bdc8082c805a1cb86499ce1eae7a9b48fbf8c4.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Available: https://github.com/sands-lab/omnireduce- experiments/commit/a2bdc8082c805a1cb86499ce1eae7a9b48fbf8c4

Reference 44

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:36088c6482775f0ac0faf03b59c2a8459551236e13f0ba9cd441f798b67e439d

Observation 2070f357-0df4-4adf-88ca-9d648fbb2bb3 · outbound

This paper cites Sparse collectives: Exploiting data sparsity to improve communication efficiency,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Sparse collectives: Exploiting data sparsity to improve communication efficiency,

Reference 45

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:48ad8a98b5c5191da4372c65eada4f500a2a1324605075ab834d70d642701b00

Observation fd4b0750-203a-48e5-a5b0-5f8284fbc5c6 · outbound

This paper cites Omniccl: Zero-cost sparse allreduce with direct cache access and smartnics,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Omniccl: Zero-cost sparse allreduce with direct cache access and smartnics,

Reference 46

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:1c0a7af9804469d3db1f8c5f97b8df01a602b785224c185339742ec6cdeaa701

Observation ea33891b-8053-4122-b509-e22dd67d5182 · outbound

This paper cites D-dosa: Dpu-based dataflow offloading and sparse allreduce framework for distributed training,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms D-dosa: Dpu-based dataflow offloading and sparse allreduce framework for distributed training,

Reference 47

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:9fbaea89130101dbbfe956d8b8b61ad0f9df3febd86f92ca20bcdc2b7393b78a

Observation 11537983-72cf-42c8-9ac4-9fc7bce546bf · outbound

This paper cites Near-optimal sparse allreduce for distributed deep learning,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Near-optimal sparse allreduce for distributed deep learning,

Reference 48

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:181a19a342c4addf38a1941a92ffcebcc91ce7076e2deb89090e833767bf7904

Observation 153fe22b-598a-4047-99a0-49978a5cd7eb · outbound

This paper cites A distributed synchronous sgd algorithm with global top-k sparsification for low bandwidth networks,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms A distributed synchronous sgd algorithm with global top-k sparsification for low bandwidth networks,

Reference 49

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:106aeb07abdc934885d8c62ddc1f03db907054d336c38ca8c9b0d144190031f2

Observation 381dc057-b796-4990-8d4d-c637d87e2884 · outbound

This paper cites Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism

Reference 50

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:a0b7fab3283852bb7f9e275da603328e5b14350e7b734a0c3c071beae9abdba2

Observation 9a50eba6-af45-46cf-a939-f728ff114224 · outbound

This paper cites Sparse collective operations for mpi,.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Sparse collective operations for mpi,

Reference 51

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Observation b0064440-be2e-42b2-85e0-c03c1bcbfae4 · outbound

This paper cites Understanding Top-k Sparsification in Distributed Deep Learning.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Understanding Top-k Sparsification in Distributed Deep Learning

Reference 52

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Observation ede3020f-5b66-40ea-b5b6-839b9d1bc459 · outbound

This paper cites Understanding Top-k Sparsification in Distributed Deep Learning.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Understanding Top-k Sparsification in Distributed Deep Learning

Reference 53

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source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:055a415ebb171d5ebd115608b3c5099b0bfa5a8cd9ddb062a93504ed491f89be

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