Paper Citation Record · LEDGER

Trends in AI Supercomputers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2504.16026.

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

pith.paper-citation-record.v1
2504.16026 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:04:37.010011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.042107Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d9e10887-43f5-47bd-94e9-253e5e5a3600 · inbound

TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations cites this paper.

TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations Trends in AI Supercomputers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:37.010011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2995681-cc94-4d64-9bb1-154031208b15 · inbound

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning cites this paper.

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning Trends in AI Supercomputers

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:42:06.093360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9cc3394-b3af-43f1-a035-354ebcd1e9a6 · inbound

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape cites this paper.

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape Trends in AI Supercomputers

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:47.659624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7d4260-41cc-480e-afbd-5a9a58145859 · inbound

Technical Requirements for Halting Dangerous AI Activities cites this paper.

Technical Requirements for Halting Dangerous AI Activities Trends in AI Supercomputers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:50:29.976837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6c8f56b-d609-4cdb-abc5-d4111895e08a · inbound

How Sovereign Is Sovereign Compute? A Review of 775 Non-U.S. Data Centers cites this paper.

How Sovereign Is Sovereign Compute? A Review of 775 Non-U.S. Data Centers Trends in AI Supercomputers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:46:58.076705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65280974-49e8-42d8-b5cf-5d15391a24f3 · inbound

Switching Efficiency: A Novel Framework for Dissecting AI Data Center Network Efficiency cites this paper.

Switching Efficiency: A Novel Framework for Dissecting AI Data Center Network Efficiency Trends in AI Supercomputers

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:38.416292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cdc29245-3bc6-43d1-8354-71219ebae5f7 · inbound

LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites cites this paper.

LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites Trends in AI Supercomputers

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:36:07.855724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f339c29-d378-473c-9aaf-967c95f7caa5 · inbound

LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites cites this paper.

LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites Trends in AI Supercomputers

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:00:54.853904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cbc16097-98c1-409b-8736-95e3306319a3 · inbound

Extreme-Scale Interconnection Networks cites this paper.

Extreme-Scale Interconnection Networks Trends in AI Supercomputers

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T16:05:49.484424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f074a9c-38ad-4d02-a399-2c3bc1363c9d · inbound

Communication-Semantic-Aware RDMA Loss Recovery for QP-scalable Hyperscale AI Training cites this paper.

Communication-Semantic-Aware RDMA Loss Recovery for QP-scalable Hyperscale AI Training Trends in AI Supercomputers

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:35:07.034348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04c7a90d-e2a5-4020-ab18-5c16e815fc58 · inbound

StickyInvoc: Rethinking Task Models for High-throughput Workflows in the LLM Era cites this paper.

StickyInvoc: Rethinking Task Models for High-throughput Workflows in the LLM Era Trends in AI Supercomputers

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.043499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c0098402-fa3f-495d-810c-07688cd83a6d · inbound

New Number Formats for FFT IP Cores in Optical OFDM Transceivers cites this paper.

New Number Formats for FFT IP Cores in Optical OFDM Transceivers Trends in AI Supercomputers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T16:55:18.863650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.