Paper Citation Record · LEDGER

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.07247.

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

pith.paper-citation-record.v1
2507.07247 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:49:31.359221Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:12:14.575187Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:12:15.014269Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy3
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cf53606-8de5-4086-ab05-fb368b05af2e · outbound

This paper cites Gqa: Training generalized multi-query transformer models from multi-head checkpoints.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Gqa: Training generalized multi-query transformer models from multi-head checkpoints

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:32.184447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1533ce51-d99d-4c43-9ab5-aa7496a948fa · outbound

This paper cites Longformer: The Long-Document Transformer.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Longformer: The Long-Document Transformer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:28.674929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f591f89-7700-418e-b8df-a1a3def8fc68 · outbound

This paper cites Language models are few-shot learners.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Language models are few-shot learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:28.795980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31842f1f-22df-4fa8-b928-36d054ac923a · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention A Survey on Mixture of Experts in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:28.926685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fe90b1-eca0-4fa8-bbed-96fef63323d3 · outbound

This paper cites Mistral 7B.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Mistral 7B

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.014289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a03435-44cf-4273-99ca-97cf53047db9 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.131991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7405c27-eb12-49ec-8a28-95bf65de53e8 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.340857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d00c93-1e0c-4328-8462-70dc040141a6 · outbound

This paper cites Scaling Laws for Neural Language Models.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Scaling Laws for Neural Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.476510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 755cb5cb-0c59-423a-86d6-f1eb0e9ca330 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:32.038803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74e448d5-098f-47c4-882a-7e469cfa1ad3 · outbound

This paper cites Reformer: The Efficient Transformer.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Reformer: The Efficient Transformer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.774607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be6113b3-f2d7-4b5e-a197-90b2e4be4697 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Quantifying the Carbon Emissions of Machine Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:29.910594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa8de1a-26bd-414b-b30b-80eefda2c3c2 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:30.129660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70ab1e9f-5c2c-4333-b7f7-16a8554a145c · outbound

This paper cites Effective Approaches to Attention-based Neural Machine Translation.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Effective Approaches to Attention-based Neural Machine Translation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:30.250557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed3808c3-76ac-4ea5-afe4-27c6cf5c273b · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Carbon Emissions and Large Neural Network Training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:30.411057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4370051-ebf6-4773-af57-522149c7b46d · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:30.548924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f30ed3-99bb-44da-94ba-d70040ed9d57 · outbound

This paper cites an unresolved cited work.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:49:31.864535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1992ae56-455a-401c-8403-ae7e2edc3a7b · outbound

This paper cites Green ai.Communications of the ACM, 63(12):54–63, 2020.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Green ai.Communications of the ACM, 63(12):54–63, 2020

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:30.803553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 842477b6-8365-401a-8968-9eee0eaeaadb · outbound

This paper cites Energy and policy considerations for modern deep learning research.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Energy and policy considerations for modern deep learning research

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:31.688398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9220446c-df68-4ee6-9ed7-bd9ba74ea654 · outbound

This paper cites Efficient transformers: A survey.ACM Computing Surveys, 55(6):1–28, 2022.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Efficient transformers: A survey.ACM Computing Surveys, 55(6):1–28, 2022

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:31.036877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae101e6-33f7-4f5b-84f9-7d2e3cfcdf37 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:31.167414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d1c79d3-7965-4a30-adfe-fdf4735c951a · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:31.296532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91dfe5c-f852-4e72-9476-8c90bf24d91f · outbound

This paper cites A Survey of Large Language Models.

Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention A Survey of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:31.359221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ffbc3d9f-18f9-45bd-84f3-2e2dc29befe4 · inbound

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization cites this paper.

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:12:15.021355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.