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Paper Citation Record · LEDGER

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

As of 12 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 9 inbound Pith citation observations for arXiv:2512.12087.

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

pith.paper-citation-record.v1
2512.12087 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T22:20:53.856657Z

measured 38 of 38 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:55:50.187273Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact25
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3afe4107-8838-49a0-9774-90b737167db3 · outbound

This paper cites GPT-4 Technical Report.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding GPT-4 Technical Report

Reference 1

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metadata mismatch
local_arxiv, observed 2026-05-16T22:21:18.615576Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:4df56b20dd56151724de91e6c0e43d636d915e586bf28601f49bf7000d7843f4

Observation 45fe34df-18b6-4ff6-9f5c-a3ab67ead4cf · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 2

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local_arxiv, observed 2026-05-16T22:21:18.662116Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:db04e8f4b9f002ead3ac18f1e29da0c5514b242cf1e768cb2842567e973af33f

Observation 345a6de2-d371-4861-8a36-92dd7c1530b1 · outbound

This paper cites RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression

Reference 3

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arxiv_id, observed 2026-05-16T22:21:18.598551Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:5ec54a63d001ee90e07092bb3e876e4bd3fa07b63b722e868d7dc6a3cd94bfad

Observation 034f5f74-bc42-44b7-882b-91632870853f · outbound

This paper cites Longformer: The Long-Document Transformer.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Longformer: The Long-Document Transformer

Reference 4

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.586041Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:19273c5005ea3da69186bef5fe464feae6942458a33152ca8f953a7adfad7419

Observation d0e978ac-af60-4722-872a-445188eac61a · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Generating Long Sequences with Sparse Transformers

Reference 5

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local_arxiv, observed 2026-05-16T22:21:18.666808Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:b92348ae5400869c46200f5e287ff729fa0da5ee45904f47fe99b9c2d769d2e8

Observation 26341737-4e75-43ab-bb7d-381387bfba96 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 6

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.648102Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:350dc1c471e1fb75b8ebb16c275920aceac8052d0523c18a5eb5ea5e1127d0ea

Observation 3510d862-cdc8-4bdc-b0aa-54426f92c9c4 · outbound

This paper cites How to train long- context language models (effectively).

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding How to train long- context language models (effectively)

Reference 7

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arxiv_id, observed 2026-05-16T22:21:18.653286Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:21970efda5a243aa2cc145961f2e80c88aaa4f259c8b6800f727ee88c16cd221

Observation b4a83254-06b0-4481-9dd6-7cc3af0c7330 · outbound

This paper cites SeerAttention-R: Sparse Attention Adaptation for Long Reasoning.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding SeerAttention-R: Sparse Attention Adaptation for Long Reasoning

Reference 8

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arxiv_id, observed 2026-05-16T22:21:18.608942Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:d2aeb28d7af3bc66a6aac4c5a8221e677737b845bc3c0dfe5f1989a13dc5d587

Observation 21e54efd-11fd-4a8a-b33f-5a1265213d8f · outbound

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

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

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local_arxiv, observed 2026-05-16T22:21:18.575063Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:d7b2af552ee623587d4ae6c9d368e0f668d976a266527fda7637fbc3333a5361

Observation 8c39c8dd-6336-4ab2-b862-e36e20d84a63 · outbound

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

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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local_arxiv, observed 2026-05-16T22:21:18.605096Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:43333f02fd8cf8a8c819a7d636e9bd1ecdc4e563b2a093b449dfa707801b7c18

Observation 9e592699-ad48-44c9-92e1-46968a28be95 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 11

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local_arxiv, observed 2026-05-16T22:21:18.657950Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:6e6368c9a1b96f49b4c069db8c0c3a44759172d84dee78af645494f4d8e2f48c

Observation 1efe3e05-b733-407c-9421-0bd925bc76f0 · outbound

This paper cites FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Reference 12

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arxiv_id, observed 2026-05-16T22:21:18.631790Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:58a70e0b106a4b6a2b161e0e4ea46ff9d83f3274df7113d8135a4eb856639f86

Observation 178772d7-8ad1-47e4-8668-84c85c5b40d4 · outbound

This paper cites an unresolved cited work.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Unresolved cited work

Reference 13

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verified exact
arxiv_id, observed 2026-05-16T22:21:18.602898Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:f47d729b5bb03d5a316177e0fe14c5a48cb626e726c5d82948f7560eb297338e

Observation 974a0be4-3c76-4d2c-a4ad-c0636661f5c8 · outbound

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

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 14

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.612119Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:8e85aa5dcee52a40b4914465ad2b12ae7306f0c6cd4058299ad4fca3c5291e7a

Observation 4ddb7f6e-22a5-431d-84a9-3a008af0c8fb · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 15

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.639195Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:b48aa4b8173da48d3210ab10a6d4977e3d28a35dbb3d3ac958af5bcf8f3048f3

Observation 93207c4d-0c3c-4fd8-b5d1-59702a8878b8 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Code Llama: Open Foundation Models for Code

Reference 16

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metadata mismatch
local_arxiv, observed 2026-05-16T22:21:18.635213Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:2e4b890c7cc485b91c734f724b85237891369019d16e77c7b45429fb3dfc09f5

Observation 36dff947-c8ce-4209-acdb-d8dda6f9432e · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 17

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.611334Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:8ac12113013153d66c0794623fd5e4914c3ed8866344f936bce7f8f2d8a68f6e

Observation cf2a2230-520c-4f33-b5b1-5d835d2570f9 · outbound

This paper cites Rectified Sparse Attention.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Rectified Sparse Attention

Reference 18

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verified exact
arxiv_id, observed 2026-05-16T22:21:18.626267Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:230b482f127187326e6b8f561e2388d6fa49fa723f073164409ebd33a3d97e6e

Observation e259b309-1fdb-46ab-a3c5-7a5d262dcc4f · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 19

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.579060Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:86df46640b31f805e7d572ec733836287fe5b64ec9cc9e4cb7a11678574c3b6a

Observation 40b49129-f577-47ca-9319-2c48cba3e381 · outbound

This paper cites Retrieval Head Mechanistically Explains Long-Context Factuality.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Retrieval Head Mechanistically Explains Long-Context Factuality

Reference 20

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arxiv_id, observed 2026-05-16T22:21:18.643653Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:47a6d9c9788cc88c8ec4cf5e6b516e3ed67a1c59822726799e03e2b01a9303ed

Observation bd2750a1-55e1-4be0-a9ce-29e6db44d50e · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Efficient Streaming Language Models with Attention Sinks

Reference 21

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metadata mismatch
local_arxiv, observed 2026-05-16T22:21:18.562124Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:19c3c6b028b39c3df597af5f98f6593ba30678e2abcf54254e93cf8969b5690b

Observation 0bc7445a-1e70-444d-a69c-f96d6cd9a978 · outbound

This paper cites DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

Reference 22

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verified exact
arxiv_id, observed 2026-05-18T11:49:16.947404Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:7225654a5965da3638a66242dfc3a87b976cff8d7abe53e24b917f232baea06f

Observation 3a6e3782-e2b8-4be9-a4d4-6822f675e34e · outbound

This paper cites Qwen3 Technical Report.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Qwen3 Technical Report

Reference 23

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.594359Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:4b30c1ea92328e8b74d0208645be793e3902ac16898034a8bbe96875d5718d4d

Observation c533775b-e768-4152-80f9-bcc9f83059d6 · outbound

This paper cites TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

Reference 24

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verified exact
arxiv_id, observed 2026-05-16T22:21:18.616466Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:89d1030e854055827eb8def40b7e54402d6e043d2d2a4fd36602cc8de3cdb2f9

Observation 28f5ac65-337c-41c8-b8df-daf0c2f07528 · outbound

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

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

Reference 25

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.590854Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:435dcb8992d2634b5b85d39ea662a25156a4f9ef42fb43d28dcf7dd1367793bc

Observation 862d1db2-8482-41ac-8ec6-7e85327c9c72 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 26

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verified exact
arxiv_id, observed 2026-05-16T23:46:30.294205Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:88093ccaca452f43a8c2bd8ae3f21b3ad0f53e18c23a626d046f3386a1261187

Observation 7867ada3-2c1b-4aa3-991b-344c21dde056 · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 27

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verified exact
local_arxiv, observed 2026-05-16T22:21:18.627000Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:e14a7b6f19fedc335ec2645f8011d497e7032bb0c776513e2d4f4d6a333cea04

Observation b5182c2a-f954-4bcf-bf79-3c61435b5d65 · outbound

This paper cites Spargeattn: Accurate sparse attention accelerating any model inference.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding Spargeattn: Accurate sparse attention accelerating any model inference

Reference 28

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arxiv_id, observed 2026-05-16T22:21:18.599241Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:b8109cb5d4466c56f50fd05f8eb4f5a3330f86c44b19f58f075f4c9ab6ccd539

Observation dcee2c82-51fc-4771-bcf0-73df190798a7 · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710

Reference 29

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raw_fallback, observed 2026-05-16T22:21:19.065428Z

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.

source=pdf_text observed=2026-05-16T22:20:53.856657Z digest=sha256:286e4655538c52e2ff339c7827e107cf35b3848656410eaca9b023a2bef7839c

Pith citing papers

Observation 2acb1520-1ea6-48b6-a3a9-c8aacbfd9736 · inbound

VFA: Relieving Vector Operations in Flash Attention with Global Maximum Pre-computation cites this paper.

VFA: Relieving Vector Operations in Flash Attention with Global Maximum Pre-computation BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 26

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local_arxiv, observed 2026-05-11T09:16:00.073232Z

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.

source=pdf_text observed=2026-05-10T16:10:40.858525Z digest=sha256:4445941634decd911960ef01dcb1ddb88a7eff9cc83f2477f11e049a7a08d2d2

Observation 3528bdb4-791c-4c44-9905-60e7e1f02da8 · inbound

Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache cites this paper.

Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 52

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metadata mismatch
local_arxiv, observed 2026-05-11T01:15:50.502233Z

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.

source=pdf_text observed=2026-05-11T01:15:35.871863Z digest=sha256:a96519e99146e23c29fb288af62a878f2fd03eedde54ccb315b12f1927bdde6b

Observation 0ce1eba7-fe3a-45f4-9f7c-320dd2a917fa · inbound

Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps cites this paper.

Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 33

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metadata mismatch
local_arxiv, observed 2026-05-19T20:52:46.083413Z

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.

source=pdf_text observed=2026-05-19T20:51:29.740033Z digest=sha256:139f45524adfffbf201ed052b9f7293f8f4391cacb3724d64302395610958d2b

Observation 8d4d0499-3bda-41b4-a13b-94a61c46861b · inbound

Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps cites this paper.

Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T14:55:47.426879Z

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.

source=pdf_text observed=2026-06-30T19:17:28.300961Z digest=sha256:93055f9a4480db9beaed65eff8416cbd7dab654504479cc820295e6edcb2bb18

Observation 4b6fd9fe-2384-4bb0-ba48-43896dbf98c7 · inbound

Runtime-Certified Bounded-Error Quantized Attention cites this paper.

Runtime-Certified Bounded-Error Quantized Attention BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T05:49:41.106969Z

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.

source=pdf_text observed=2026-05-21T05:45:42.295527Z digest=sha256:996624724b1582f9bc0d0dd3aee93017f6c05f0b3612edad5db50593384821d8

Observation 41288731-b927-4803-ab16-29cdfb9b73bf · inbound

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy cites this paper.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T17:11:05.692659Z

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.

source=arxiv_source observed=2026-06-27T17:02:30.894934Z digest=sha256:4fa8b13a70f0147e4855b6634f469a17671208a4e6541e2a3ca7c85aa542518b

Observation 0543cf73-f419-4f52-82ca-3bdfbcbc5047 · inbound

Forget Without Compromise: Nexus Sampling for Streaming KV-Cache Eviction Under Fixed Budgets cites this paper.

Forget Without Compromise: Nexus Sampling for Streaming KV-Cache Eviction Under Fixed Budgets BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:29:45.333942Z

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.

source=pdf_text observed=2026-06-26T08:46:54.468405Z digest=sha256:2ac1b7e23531fa93011b1f7b9ce6673505924ed5d359abb3aed17ec8c58f177d

Observation d35f19ad-4206-4fb0-bf15-52471124beb1 · inbound

LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding cites this paper.

LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 68

Resolution
unresolved
no resolver link, observed 2026-07-31T11:49:11.788006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:49:11.788006Z digest=sha256:59620938700b2055271ad76bc2f011fd5e1e97672615a00ecb7ee309bdf494b7

Observation 78bbb400-e10c-45ef-8c68-c810580fa1f9 · inbound

CoSA: Accelerating Long-Context Inference via Proxy-Kernel Co-Designed Sparse Attention cites this paper.

CoSA: Accelerating Long-Context Inference via Proxy-Kernel Co-Designed Sparse Attention BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T02:55:50.187273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:55:50.187273Z digest=sha256:65a057d843aa5aa1ffafe4d5ee43efc98c70d4c51a7580365d56837dc4704066