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Paper Citation Record · LEDGER

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2505.23520.

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

pith.paper-citation-record.v1
2505.23520 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:56.213301Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:49.923424Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:10:50.173158Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76f04891-2e27-488f-8db0-71a7b0aedb3e · outbound

This paper cites URL: " 'urlintro :=.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity URL: " 'urlintro :=

Reference 1

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no resolver link, observed 2026-08-07T12:50:52.168249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:52.168249Z digest=sha256:9de053378fda2f5dc1bf0fa9ae950146caaaa0a9ac9c11ef9cb8b2b8f2896587

Observation 85fc9585-f554-4bee-9de4-ddea6123d689 · outbound

This paper cites write newline.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity write newline

Reference 2

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no resolver link, observed 2026-08-07T12:50:52.275576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:52.275576Z digest=sha256:2f6f6eeb39fc1bb9c9f93d021b92bd638097f69b2c30cc2f06110f1c46b6db1e

Observation 36b4be14-4342-4bf0-8221-b7967b4eff03 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 3

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no resolver link, observed 2026-08-07T12:50:52.389049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:52.389049Z digest=sha256:7911fb3e3ca0155c84b1802ad7a0d3cc441aa025cb9de783e4eebb25d1fe6faf

Observation 87bd8f04-13c7-43e1-be2b-b6f14519b3d2 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Generating Long Sequences with Sparse Transformers

Reference 4

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no resolver link, observed 2026-08-07T12:50:52.541575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:52.541575Z digest=sha256:b7355c62035f602b5d15611130aee20d0141603821b14c48bc9817e719806c95

Observation 37422619-5748-4bf8-90f8-a40ac01a089e · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 5

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no resolver link, observed 2026-08-07T12:50:52.658722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:52.658722Z digest=sha256:8972d5c29e2e7d8e38dcaa676e7cf5ae3514d8f26e25fdef7d9b73e430b69eb9

Observation bc8c1725-72cc-4a94-9dc3-43732ea8e585 · outbound

This paper cites an unresolved cited work.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Unresolved cited work

Reference 6

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unresolved
no resolver link, observed 2026-08-07T12:50:52.815232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:52.815232Z digest=sha256:657b4307a00aebdc070b2373625b420b66fc6ae579c0741d429524b063e5b3b9

Observation 313443c8-0e08-4e59-b929-60f45ebddbc7 · outbound

This paper cites DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference

Reference 7

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no resolver link, observed 2026-08-07T12:50:52.961383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:52.961383Z digest=sha256:44a65daa82f6b0a4a81c365a381d8c31309bb763bc514053d346ac17c2240829

Observation 94b1aaf3-3e36-47ac-880f-1ad80560b23d · outbound

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

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

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no resolver link, observed 2026-08-07T12:50:53.132769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:53.132769Z digest=sha256:3b9b63c8845d14f5f45cb1efad6c1aebd1345a56e2913d02228943e9e777c007

Observation 7c98ba6d-c323-4975-9849-0c133478a1d6 · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 9

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no resolver link, observed 2026-08-07T12:50:53.290095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:53.290095Z digest=sha256:0fd8c34f85c657d5475f87eb50bf1c8b72538d5047dffb51d223ea94368ae8c4

Observation 9715ff79-b118-45c2-a83e-1d30d446f897 · outbound

This paper cites Challenges and Applications of Large Language Models.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Challenges and Applications of Large Language Models

Reference 10

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no resolver link, observed 2026-08-07T12:50:53.416097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:53.416097Z digest=sha256:7381ca4ebdc45b5ebf34c198fcd3c601dc281425b0bf90a4797872c2d342a8ed

Observation 1c94fd62-b9e3-4f9f-b248-ab9288561719 · outbound

This paper cites an unresolved cited work.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-07T12:50:57.536486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:50:53.553922Z digest=sha256:493d78ddf39f80423225fb696e06b4818e0e89880aa8095daec7705a7bb3415c

Observation 605ed4a7-650b-4abd-97b2-4d679617f291 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 12

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unresolved
no resolver link, observed 2026-08-07T12:50:53.712921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:53.712921Z digest=sha256:ced67f4a9926642a1d0f55970b759d5ea80a96af2c2e4721361121860e114deb

Observation 4e55e330-e88d-4e8e-bf2a-f6e8cf2c29fa · outbound

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

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Reference 13

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no resolver link, observed 2026-08-07T12:50:53.833323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:53.833323Z digest=sha256:8cea8a1988a7f130adea2b720d75ad8caa383c6faf6258261693932cc0eba3e9

Observation cb4afb4c-088d-45d1-b240-4e7741e879ca · outbound

This paper cites an unresolved cited work.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-07T12:50:57.228873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:50:53.971317Z digest=sha256:fef5d87118512e1a2dd3769ba7b49df7568ac76d7f622bde6afd348c91a1d40a

Observation ccbee87f-c271-488b-a5dd-0fd4ca265d5a · outbound

This paper cites RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Reference 15

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unresolved
no resolver link, observed 2026-08-07T12:50:54.153325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:54.153325Z digest=sha256:cd4479b5c5831b02bd8a40bb403b3a77a5cbf07da30fa6e072f3cca64230c3e3

Observation 30e67a29-94ab-4612-b6ea-f35245860b1f · outbound

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

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 16

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no resolver link, observed 2026-08-07T12:50:54.338408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:54.338408Z digest=sha256:b59f76135a3cbecf28572d11402866abb7ab26f87d55f80ec4625190ec2ce524

Observation 5e94eb79-5ac3-43b0-8af4-334c248b2671 · outbound

This paper cites Online normalizer calculation for softmax.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Online normalizer calculation for softmax

Reference 17

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no resolver link, observed 2026-08-07T12:50:54.520438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:54.520438Z digest=sha256:df9cd1024b4dd6b88b2da8916b1a4d681c09b8d8d5296cf681661503355f7a6f

Observation 05ebf2ea-4de5-411c-ab2c-321cb5907307 · outbound

This paper cites Large Language Models Meet NLP: A Survey.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Large Language Models Meet NLP: A Survey

Reference 18

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no resolver link, observed 2026-08-07T12:50:54.677876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:54.677876Z digest=sha256:b0fc3e522d35de62e08ca5597b4e645e780a3f6c980a79378f41756fdadab217

Observation 8a312006-41c6-4fc9-bf3c-bf9797d55830 · outbound

This paper cites Qwen2.5 Technical Report.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Qwen2.5 Technical Report

Reference 19

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no resolver link, observed 2026-08-07T12:50:54.828638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:54.828638Z digest=sha256:a9b3eb5e1f463c5f2a50e62989842493ba67252c7f78bd959d51062c4d1ebebd

Observation f8b7ff8a-affd-4107-8298-0cad294b1c96 · outbound

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

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 20

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no resolver link, observed 2026-08-07T12:50:54.951377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:54.951377Z digest=sha256:8fe84fff33c8170e8d7d2ee4e4b809ae143057cd854d47d4071b282e66a05851

Observation bdf52d5f-74a1-4c45-ba5a-8c0f5653fdee · outbound

This paper cites an unresolved cited work.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-07T12:50:55.097241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:55.097241Z digest=sha256:6695bd6ec6e638f66e846b376ae48adaf02d3e1bf71f228678243aadaecf09dc

Observation 42f39cc6-64f9-4625-838c-465f854ed015 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity LLaMA: Open and Efficient Foundation Language Models

Reference 22

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no resolver link, observed 2026-08-07T12:50:55.271356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:55.271356Z digest=sha256:d24c824d91071283e109779ecc68ec68188886d2b7085d23990f9a583298355e

Observation dc5aa6c8-334c-4373-ad2f-3bf74ff5e0e8 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Efficient Streaming Language Models with Attention Sinks

Reference 23

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unresolved
no resolver link, observed 2026-08-07T12:50:55.452062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:55.452062Z digest=sha256:e6dd14ac05db01061ad6fc254bc057dadda0fbeb65ca734f5bfea686a4daa5ab

Observation 1daaacea-c20d-45e2-828d-fc49bd8a29c9 · outbound

This paper cites XAttention: Block Sparse Attention with Antidiagonal Scoring.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity XAttention: Block Sparse Attention with Antidiagonal Scoring

Reference 24

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no resolver link, observed 2026-08-07T12:50:55.634782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:55.634782Z digest=sha256:f35be9737104036ad60600797cf629dfc41197464ccef8a3961482eb06542781

Observation 923033ba-0edb-4294-9ebd-9e6604817a56 · outbound

This paper cites PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference

Reference 25

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unresolved
no resolver link, observed 2026-08-07T12:50:55.794210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:55.794210Z digest=sha256:d09776b2677e0cecfc72787ae38061ee02f9a392c2ee212200dbc3cca8726161

Observation 78fafa72-3b21-44a8-9fdb-d208e3f261f1 · outbound

This paper cites LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

Reference 26

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unresolved
no resolver link, observed 2026-08-07T12:50:55.884336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:55.884336Z digest=sha256:1ed7533671695cac76d1f3e44edd843f2a3cbf3ce23d31089ea000bbb0744210

Observation 07b9932e-6ad7-42d9-8690-7b7242690c37 · outbound

This paper cites an unresolved cited work.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-08-07T12:50:56.008958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:56.008958Z digest=sha256:654af2f343af340121626f3fa656ffe2fca523ceadd9d1f0b5ed0375223d4cc9

Observation 4a9e0a0e-dc3e-4c36-8407-b90f37ae3d75 · outbound

This paper cites an unresolved cited work.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-07T12:50:56.976188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:50:56.157922Z digest=sha256:0381126dc34ab2644181bca44ca2e3c8d4a3153dc20b185160665506dfef1075

Observation 42dce736-19b6-41ba-8c86-f66f665ae1eb · outbound

This paper cites Large Language Models for Disease Diagnosis: A Scoping Review.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Large Language Models for Disease Diagnosis: A Scoping Review

Reference 29

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no resolver link, observed 2026-08-07T12:50:56.213301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:50:56.213301Z digest=sha256:3d85600c4b486310e42c10419d5045b3d9145dd618f46e73e11d4160a0d700f1

Pith citing papers

Observation f075099b-2eb5-4225-88f1-5d9e0ed8b034 · inbound

Lag-Relative Sparse Attention In Long Context Training cites this paper.

Lag-Relative Sparse Attention In Long Context Training AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity

Reference 37

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metadata mismatch
local_arxiv, observed 2026-08-07T04:10:50.229411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:10:49.923424Z digest=sha256:56265e5ed60e204962ef49e98d2970742a9b54009c4a0e5e2eb97f2213a4a113