Paper Citation Record · LEDGER

Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2305.14516.

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

pith.paper-citation-record.v1
2305.14516 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:21:49.944043Z

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

2
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 6f79eea3-1e93-46a2-b57e-9c9659800906 · inbound

Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning cites this paper.

Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:21:49.944043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf72fab-892b-468f-9e3f-8717b7a46481 · inbound

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage cites this paper.

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:48:08.517594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5742a451-3951-488f-91f2-8f39680442a4 · inbound

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO cites this paper.

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:52.524155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a503df21-1da7-458e-a01b-36c623d3d75c · inbound

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training cites this paper.

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T11:18:08.180894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67695b0-17db-4c65-bc77-47ce67c7d415 · inbound

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

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T22:28:50.401493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d17306f9-a22a-45a8-9eb1-7457d5612c3e · inbound

Opus: Photonic Rail-Optimized Fabric in ML Datacenters cites this paper.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T23:51:00.332947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa326a8b-2a91-4313-848a-838370cc37d1 · inbound

Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO cites this paper.

Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:09.479849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21398eeb-2451-4739-b3a1-e07a67cf7fb5 · inbound

Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML cites this paper.

Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:55.160841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03c6736c-b573-4cf7-838e-aa6643a594df · inbound

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces cites this paper.

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:05.067430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 20652270-ea7e-4597-90a3-a9c580bff346 · inbound

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces cites this paper.

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:19:07.573146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7cfe14ba-8336-454d-833b-356017295caa · inbound

A Few GPUs, A Whole Lotta Scale: Faithful LLM Training Emulation with PrismLLM cites this paper.

A Few GPUs, A Whole Lotta Scale: Faithful LLM Training Emulation with PrismLLM Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:57:44.441023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 547ad9ef-cb57-4942-b779-06f65de0dec8 · inbound

StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training cites this paper.

StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:47:06.910081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22f94c45-ade9-442b-9b97-4c2f76ad1256 · inbound

StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training cites this paper.

StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T23:21:23.136611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76e6fcc5-64ff-42c5-9537-79a55f01d003 · inbound

ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling cites this paper.

ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:17:44.667467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25f95449-47b7-4b0d-8d31-adca7af6606b · inbound

Simulating Unified Tensor Resharding in heterogeneous AI systems cites this paper.

Simulating Unified Tensor Resharding in heterogeneous AI systems Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:19:54.732673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af68a08f-4f2c-4a15-a81f-2030d5b3fab6 · inbound

MoX: Efficient MoE Routing on Direct-Connect Topologies cites this paper.

MoX: Efficient MoE Routing on Direct-Connect Topologies Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T10:29:59.631362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 347beff2-f77d-4d7c-b424-2fe27d155c9e · inbound

NUNA: Characterizing and Mitigating Non-Uniform Network Access in Multi-Die GPU Scale-Up Systems cites this paper.

NUNA: Characterizing and Mitigating Non-Uniform Network Access in Multi-Die GPU Scale-Up Systems Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T15:21:29.681929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.