Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T15:21:14.811340Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T15:21:14.811340Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f62427a0-c5c3-4c8c-9eb6-4748489dfae5 · outbound
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
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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a6027d87-78a2-407a-8137-cac28aa366d7 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Optimization of collective reduction operations,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a8d350f3-050c-4a56-baaa-086a427b066e · outbound
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
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
Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Evaluation criteria for sparse matrix storage formats,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 169044a9-651a-4703-a280-ededf19f8718 · outbound
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
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
Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Towards a universal fpga matrix-vector multiplication architecture,
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 68acacd3-8275-4445-b362-51b410491b98 · outbound
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
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cf06bc6e-13c8-4659-95de-d072260d0c79 · outbound
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
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
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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Observation 98daad10-e025-4399-965d-276e9e3f80ee · outbound
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
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
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
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
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
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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6e2535c9-ee17-4b03-a591-7784f11056c9 · outbound
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
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
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
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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Observation c90ad5c8-46fa-403b-b45f-be4125c0f707 · outbound
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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Observation 92f79a60-09b5-4399-aa3a-a41e6bb070de · outbound
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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Observation 27cf460e-4b7e-4f57-a337-623ab3b5170f · outbound
Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Gasnet-ex rma communication performance on recent supercomputing systems,
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3eb6af1e-52f6-4479-8878-cdd9b9e674f9 · outbound
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
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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Observation 2070f357-0df4-4adf-88ca-9d648fbb2bb3 · outbound
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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Observation fd4b0750-203a-48e5-a5b0-5f8284fbc5c6 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ea33891b-8053-4122-b509-e22dd67d5182 · outbound
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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 11537983-72cf-42c8-9ac4-9fc7bce546bf · outbound
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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Unavailable: canonical work link unavailable.
Observation 153fe22b-598a-4047-99a0-49978a5cd7eb · outbound
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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 381dc057-b796-4990-8d4d-c637d87e2884 · outbound
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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9a50eba6-af45-46cf-a939-f728ff114224 · outbound
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
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
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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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.