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Paper Citation Record · LEDGER

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2506.01969.

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

pith.paper-citation-record.v1
2506.01969 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:50:59.403092Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T01:55:09.658053Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:57:51.249567Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19bf4709-fd63-43f6-9afb-3c0118487b4e · outbound

This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-15T21:50:59.809803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:50:59.327879Z digest=sha256:219d7653b1a5fca27aaab73c8826e9202d2a916b2d5c7e0ac2474d117dbc0a31

Observation dc128f2d-17ac-40f6-a60a-bfb08fef5793 · outbound

This paper cites In: Burstein, J., Doran, C., Solorio, T.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs In: Burstein, J., Doran, C., Solorio, T

Reference 2

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malformed identifier
no resolver link, observed 2026-08-15T21:50:59.332548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.332548Z digest=sha256:30390a706df9d1d43b5915566a2434111a69d6dca75ef7a84a24d1a041f309fb

Observation 8253e9a0-f5e6-491f-b181-7f8ea0794ded · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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Observation 07b3c921-e9d5-480f-9ad8-3a59d3f2d39a · outbound

This paper cites In: Meila, M., Zhang, T.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs In: Meila, M., Zhang, T

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T21:50:59.797996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:50:59.340032Z digest=sha256:12d905b1dece40f6632b3db990fb3b3ff1a83a614c92573f5bc8ee6d39794fc0

Observation 4421f8a3-e26e-409a-b078-199aa00b7b5b · outbound

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

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.343751Z digest=sha256:3648f04dfcf35e56fd46d802eb9f97ac13cf94d4b3ea656b62c8a65e36696cc5

Observation 1363dff7-f4a6-4965-9021-6bf35f7d3302 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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source=pdf_text observed=2026-08-15T21:50:59.347941Z digest=sha256:f489bc955bb30df073bbc1b583f751ba03caa492890ee7661fe50c437ce7ed46

Observation bd08d5fc-070f-45c5-8335-3e836b213fa2 · outbound

This paper cites DeepSeek-V3 Technical Report.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs DeepSeek-V3 Technical Report

Reference 7

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source=pdf_text observed=2026-08-15T21:50:59.351682Z digest=sha256:fb22e4c682daa4b7e7c4418b8c48bb87441268ec57bd86ad11a27393f640efda

Observation b9f9c228-b719-4657-b8a7-7e57a3684841 · outbound

This paper cites In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 8

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raw_fallback, observed 2026-08-15T21:50:59.787243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:50:59.355698Z digest=sha256:66710e2f3eee9b4dac0b3c84dedddbf6ecee05db336a789b273d752277ff08d0

Observation f7bb8a33-a6f2-48b1-9709-46e1be3a8701 · outbound

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

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.359390Z digest=sha256:2138c8b05d578026d9ed59662f15773cae2b55c8c5e877d8ab843cba7057a52c

Observation 087e3237-e088-4669-8367-26b8cc2ad5b6 · outbound

This paper cites FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Reference 10

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unresolved
no resolver link, observed 2026-08-15T21:50:59.363438Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.363438Z digest=sha256:64c6d29d5b7570a84f06952c8457ae393106e26c3ef5f77e9ee9df739c6f9169

Observation 59d9ae77-800f-42f4-a03d-3776e8d6ab72 · outbound

This paper cites an unresolved cited work.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.367000Z digest=sha256:ef1196407ce4ce6acc9c0eb287d182f7f95078dba96e28deb2d54ec380fdaa30

Observation d9c6f7aa-3939-438c-8908-be6f87a4f08f · outbound

This paper cites an unresolved cited work.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Unresolved cited work

Reference 12

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unresolved
raw_fallback, observed 2026-08-15T21:50:59.775344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:50:59.370208Z digest=sha256:6da99fb816b6cd8b0f6eb4a2ffb51626a3c5fe6c4886ad385c572eab6de22912

Observation 481c18d2-07bf-469b-b628-2209a5dc7896 · outbound

This paper cites FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

Reference 13

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unresolved
no resolver link, observed 2026-08-15T21:50:59.373762Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.373762Z digest=sha256:614682d0d48c09d066c786ced3f349913a7823d0be3cba4aedd9e1744f793685

Observation a3cecf1e-9c74-4211-ae13-2f37a68c71a3 · outbound

This paper cites Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 14

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no resolver link, observed 2026-08-15T21:50:59.377829Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.377829Z digest=sha256:5bcd5358ca8574e6dc0f9e289eb0e9751b64111447a174be2810c5993706d333

Observation f88aee9a-a2fd-4ed2-8b2a-a73c0bf564c5 · outbound

This paper cites In: Proceedings of the 29th Symposium on Operating Systems Principles.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs In: Proceedings of the 29th Symposium on Operating Systems Principles

Reference 15

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source=pdf_text observed=2026-08-15T21:50:59.381924Z digest=sha256:f2b1a363a167288f1289630000433f152f2196eeb2bed69c1249d23ea5a446c5

Observation 529f7460-8570-4473-98ef-2638c834582f · outbound

This paper cites an unresolved cited work.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-15T21:50:59.764023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:50:59.385478Z digest=sha256:f0a24cc68fda9aa06d3b9144bf5199800eeaca9859029dbb61fe08822848f8d7

Observation 037e9032-0e2f-4d4f-a080-7bde75c28608 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Generating Long Sequences with Sparse Transformers

Reference 17

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no resolver link, observed 2026-08-15T21:50:59.388966Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.388966Z digest=sha256:e1f55e21081fef23f85a20772f88588962b335c2337eee9fbf1d56ec86af0677

Observation 5db7d9a0-7575-44a3-8414-150b50a49279 · outbound

This paper cites Longformer: The Long-Document Transformer.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Longformer: The Long-Document Transformer

Reference 18

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unresolved
no resolver link, observed 2026-08-15T21:50:59.392738Z

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source=pdf_text observed=2026-08-15T21:50:59.392738Z digest=sha256:e9d01b2680106335b8fca211a574a2b09a0a7ec9504bba8fd146de50f6014eb0

Observation 3ea0ecf8-2cd9-4218-bf73-3eacc49ff827 · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 19

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no resolver link, observed 2026-08-15T21:50:59.396271Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.396271Z digest=sha256:7fcd127ab2a7c5d344fc83ea34c5c056f8fe56b5ab4ec7c5e35f9cb38e074875

Observation b1a86976-1127-4086-ae60-cfe1ee6c6f9e · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 20

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unresolved
no resolver link, observed 2026-08-15T21:50:59.399750Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:50:59.399750Z digest=sha256:a97f9889a0a4c4cada6c934ea15176d4ef0e72d6f9f3bf8981e1a76a1235c4fc

Observation 31e1e6ce-0058-492a-96fe-d6a27d6702bd · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs RWKV: Reinventing RNNs for the Transformer Era

Reference 21

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source=pdf_text observed=2026-08-15T21:50:59.403092Z digest=sha256:3dcfebfbbc7f26b92864912b370447fd92631781260525edf92f33f3c8dd6622

Pith citing papers

Observation 668fa2d6-7176-4e49-ac2e-3529b01a39c7 · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs

Reference 13

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verified exact
local_arxiv, observed 2026-07-08T22:45:40.093828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-08T22:38:12.637901Z digest=sha256:d339533d5c52b09bb9ff09f9fd33a4549466238c4799bdbf5be7a6c115b8349d

Observation 627a9baf-3ed6-436d-8de6-f76ea77c37e2 · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs

Reference 13

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verified exact
local_arxiv, observed 2026-07-11T01:57:51.281954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-11T01:55:09.658053Z digest=sha256:46ab34729803366fdcd99f22fb5d5056720118815ec5a4dadb1dd59cc628c4d0