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Paper Citation Record · LEDGER

Trends in AI Supercomputers

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 13 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 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:19.075656Z

measured 25 of 25 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:30.444749Z

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

12 of 12 outbound references displayed

  • verified exact3
  • verified fuzzy6
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9627014-cc20-472c-bfbe-11826aa4a771 · outbound

This paper cites Accessed 15-04- 2025.

Trends in AI Supercomputers Accessed 15-04- 2025

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-16T11:17:19.341055Z

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.

source=pdf_text observed=2026-08-16T11:17:19.024112Z digest=sha256:bb2e6d754540dabf68764a1c221eacbe5b9ecae717c61ffea3ed892ace90d268

Observation 971df247-83c0-40a8-a80a-08bb4c94dcd0 · outbound

This paper cites Accessed 20-04-2025.

Trends in AI Supercomputers Accessed 20-04-2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:17:19.658472Z

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.

source=pdf_text observed=2026-08-16T11:17:19.037984Z digest=sha256:a20f86ee38fb8e3cb28f6a22876c267afe9b3320999c6a4347421a44ea864b00

Observation 5ded5150-0a69-4909-be21-6bf9d97899ea · outbound

This paper cites Computing Power and the Governance of Artificial Intelligence.

Trends in AI Supercomputers Computing Power and the Governance of Artificial Intelligence

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:17:19.045814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:17:19.045814Z digest=sha256:81589e414eb5db9f91bb53607376302ed0e1f13753a559fc2a7bc4fc6bc0dea2

Observation d5c75fea-b393-4895-a93b-35362988ea3d · outbound

This paper cites Accessed 15-04-2025.

Trends in AI Supercomputers Accessed 15-04-2025

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:17:19.640575Z

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.

source=pdf_text observed=2026-08-16T11:17:19.052981Z digest=sha256:788bcacaff5505ac070e45ccc9cecafb4d18649652e6cbe8ba5192aab5d2453c

Observation 95522764-ab14-4d0e-8dec-4b15f8e0c63d · outbound

This paper cites Accessed 20-04-2025.

Trends in AI Supercomputers Accessed 20-04-2025

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:17:19.063655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:17:19.063655Z digest=sha256:02661ecf91b989a9746501977dff791959fd5ab26e8099b31c794c55c37b6de1

Observation e6d9c255-a628-4c61-a838-bd6561887a41 · outbound

This paper cites Accessed 15-04-2025.

Trends in AI Supercomputers Accessed 15-04-2025

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:17:19.479544Z

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.

source=pdf_text observed=2026-08-16T11:17:19.070247Z digest=sha256:0c33358d3e468d42a820146de081a0086ba78a9bec1ee7d2df897ca7e193e734

Observation 39587302-3dfa-4382-b2a4-47c83b7039e2 · outbound

This paper cites Accessed 18-04-2025.

Trends in AI Supercomputers Accessed 18-04-2025

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:17:19.461861Z

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.

source=pdf_text observed=2026-08-16T11:17:19.075656Z digest=sha256:094874c763de072449d868201e7c8bfebd197063fdeedc888e304072ec996377

Observation 75ef8dbd-d915-4fb2-b269-4ccf1d502d7f · outbound

This paper cites Accessed 20-04-2025.

Trends in AI Supercomputers Accessed 20-04-2025

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:17:19.623020Z

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.

source=pdf_text observed=2026-08-16T11:17:19.058010Z digest=sha256:e4c545eb7a1f2cdfa099aef6181071ece3694967c6e5686418b94fa213c93a83

Observation 18b3ba67-8cce-42a8-95b2-dda0176e6439 · outbound

This paper cites Accessed 20-04-2025.

Trends in AI Supercomputers Accessed 20-04-2025

Reference 2022

Resolution
verified exact
raw_fallback, observed 2026-08-16T11:17:19.444317Z

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.

source=pdf_text observed=2026-08-16T11:17:19.004895Z digest=sha256:6b13aaa09ff20d9c765098e594c3cf0c26e8d74fa87ab0fbc278634023cb93fa

Observation 38141650-6fcb-4e1f-9623-450cc0ed660b · outbound

This paper cites Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM.

Trends in AI Supercomputers Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T11:17:19.030628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:17:19.030628Z digest=sha256:3b3af893cfc3ba8c848e2f0b30f6fdcaa945a8d8e7e0609aa1bb9d5a274f3dec

Observation 1a9a744d-e4ff-4bad-9611-643a86c65d3a · outbound

This paper cites Accessed 15-04-2025.

Trends in AI Supercomputers Accessed 15-04-2025

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:17:19.672900Z

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.

source=pdf_text observed=2026-08-16T11:17:19.017845Z digest=sha256:7878c884a9cbf7663de9d8c0d6c575bf5cb00c792a1df6c385a4487dc92fbcd8

Observation 67fd9ec0-6535-42c7-8972-f8fa4e293a5d · outbound

This paper cites A Brief History of Recommender Systems.

Trends in AI Supercomputers A Brief History of Recommender Systems

Reference 2025

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:17:19.365881Z

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.

source=pdf_text observed=2026-08-16T11:17:19.011463Z digest=sha256:1dfac9c1bc845b0bc39a3b35670490ef461c41e71680d722f1d30f20f3e2cbc5

Pith citing papers

Observation d77c483f-395d-4cdb-a29f-b976d6a99c6a · inbound

AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions cites this paper.

AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions Trends in AI Supercomputers

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:30.444749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:27:30.444749Z digest=sha256:952ee1a5356bfc71a8ac5d6356af62d962cb5c4d576bbaa2175aa6631181ff8f

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.

source=pdf_text observed=2026-08-06T22:04:37.010011Z digest=sha256:214ce9b3fb2d7f215bdb11d0ec3fd01dca3da623f75c0c48dd47c5307288b5df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T05:39:53.088948Z digest=sha256:16ab7529c6ef31fc6127bbdd41594ff1b2c45d1f806c60c9603e076985be20b1

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.

source=arxiv_source observed=2026-08-06T18:37:47.659624Z digest=sha256:17eab36b3edc473120a8f0b6236bebf444f0f4a45e4713f8d527b5528731fc2c

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.

source=arxiv_source observed=2026-08-06T17:50:29.976837Z digest=sha256:966841c4c4b98786dafd47cc3ba6fcdcefac95222685c8652a99d3807515e4ed

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T01:43:06.000420Z digest=sha256:bbfa9504b0a7c4a7465346031fc9897c5cb587a8ca35c6b5968d8b5093b42627

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T10:30:07.091336Z digest=sha256:649012ec7c9ac6eafe1a3bcaee4abc494a98b071371a2e2856aae0d43b46c928

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T15:06:55.324373Z digest=sha256:8951cdfca417b66f3f6f4485e1e613ff74fc169c891cbef42d1566853990ba30

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T00:56:31.642465Z digest=sha256:6a8d576bd6738c955d31b57b8861dd7885fee069f76e904c2231dbd76d5f6ca7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T16:00:49.139921Z digest=sha256:96ce4915f4ee799ee8496baec12af3f174d1417f3fe26d667322b3d94e5d5011

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T23:35:02.518945Z digest=sha256:6d2598bdd3344f1172548ea29ba55a20fcbd9bf7ab55d280aa918d4e308f767a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T11:16:53.967397Z digest=sha256:285d6db6cf4d3a59206f9b7f047687c03c6555d00e8f3e04dfe82d00ab2ad9fc

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.

source=pdf_text observed=2026-08-01T16:55:18.863650Z digest=sha256:44e1c01cd66a91297cdd665d9cb655380a0236238549753d28e5ee7361b195cf