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Paper Citation Record · LEDGER

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2410.13276.

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

pith.paper-citation-record.v1
2410.13276 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 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 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:11.045710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.065347Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ff755549-e753-46ec-a8f5-c7441ae408c9 · inbound

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning cites this paper.

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 24

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no resolver link, observed 2026-08-10T20:26:11.045710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:26:11.045710Z digest=sha256:092255959c371dae51e4024d8dc0235484ee5123fb66380497c1ac3b43bfcb6c

Observation 8a484819-c134-4763-9cce-a00b0300d799 · inbound

Scaling Inference-Efficient Language Models cites this paper.

Scaling Inference-Efficient Language Models SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 13

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no resolver link, observed 2026-08-10T00:43:28.887469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:43:28.887469Z digest=sha256:8d7360cd80710d64797b5420ead8a6068bad4820a7e3132fe840c1c2b8a5a062

Observation 325cc7c1-0fd6-4a0e-9ba5-1a011bf2c497 · inbound

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

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 55

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verified exact
arxiv_id, observed 2026-05-16T23:46:30.062261Z

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=2026-05-16T23:46:29.975858Z digest=sha256:13ed1b30fcb891edb8d8f40d324e14011b727969343d4d091273c48c7e3d5a3c

Observation 4bfcbe89-ca11-47ad-ac6f-e8349a2c8a76 · inbound

MoBA: Mixture of Block Attention for Long-Context LLMs cites this paper.

MoBA: Mixture of Block Attention for Long-Context LLMs SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 25

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verified exact
arxiv_id, observed 2026-05-16T06:15:46.260047Z

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=2026-05-16T06:15:46.085555Z digest=sha256:148a8d1b0d500763375bb062ee26fa8cbf912bcc10c229efc43dd6795d71bd4d

Observation 3e802f0b-f9c6-49af-99d5-3c8fb50e2ff9 · inbound

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference cites this paper.

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 31

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malformed identifier
arxiv_id, observed 2026-05-09T06:35:25.149555Z

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=2026-05-22T15:59:04.724780Z digest=sha256:457cf598144823fec7aec93a90d473d8d7f9e5482c99b5d919605772c9b3f713

Observation 1338f882-ee10-40dc-8718-847d1628ef14 · inbound

Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing cites this paper.

Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 8

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unresolved
no resolver link, observed 2026-08-07T14:16:38.982877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:16:38.982877Z digest=sha256:7165d2513bab65c44dbcd0913cf49ee348339ac22b5868541a1b9910fd1484a4

Observation 705ad1c9-c08b-4c17-98bf-479d91723f4e · inbound

SageAttention2++: A More Efficient Implementation of SageAttention2 cites this paper.

SageAttention2++: A More Efficient Implementation of SageAttention2 SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 3

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unresolved
no resolver link, observed 2026-08-07T13:44:50.090294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:50.090294Z digest=sha256:c9eef56993c87f7e37fa4d6139ff77bdba8d363196ff1f71d240f1c0df5e596f

Observation 783534c0-5b4b-49b8-bff0-f2b48d7627f8 · inbound

SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling cites this paper.

SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 39

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no resolver link, observed 2026-08-07T12:39:06.471625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:06.471625Z digest=sha256:4c492b5df185c918887d49dea40d3d471bf7fb0d7d8b20a1e04a073c907e2dee

Observation e892edf0-045c-41f9-81e0-73dd74f82b7f · inbound

Rectified Sparse Attention cites this paper.

Rectified Sparse Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 8

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no resolver link, observed 2026-08-07T10:52:48.764869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:48.764869Z digest=sha256:25c61492dbc767910c0366bf317cb7f2cb7f03dddd10de247721efee13959943

Observation 59d96b03-d758-480d-8dea-c50af189e0f7 · inbound

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

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 19

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no resolver link, observed 2026-08-07T05:06:32.599244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:32.599244Z digest=sha256:717888f15793854f0d355ef0360da5f23727425ffa6883455ea86a5b3146b54a

Observation 2a90d210-1879-4f2c-afd9-77c390433939 · inbound

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models cites this paper.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 55

Resolution
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no resolver link, observed 2026-08-06T23:51:05.539269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.539269Z digest=sha256:8e44117b2c130a079034524e6c04479d235fed8333ee9d3a5d1c3e108d292036

Observation ef11391c-7019-46e6-a8d8-305f5bda71af · inbound

An Overview of Algorithms for Contactless Cardiac Feature Extraction from Radar Signals: Advances and Challenges cites this paper.

An Overview of Algorithms for Contactless Cardiac Feature Extraction from Radar Signals: Advances and Challenges SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 19

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no resolver link, observed 2026-08-06T05:13:24.097732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:13:24.097732Z digest=sha256:86f08386de030a0d569cb2cd45b3ec52cf8b99886ca6e2e23c740da53061554d

Observation 618ac735-b1bf-44b0-85db-18f1bfa0b23f · inbound

Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers cites this paper.

Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:24:23.580415Z

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=2026-05-21T22:22:23.320347Z digest=sha256:e2e98c23b4b7c673ef36a14477bcd9877fd6b391fd84cf35c9c629abf7dc0e3b

Observation 3650dda3-5536-4229-ab83-f04c82bf9653 · inbound

Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection cites this paper.

Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 12

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no resolver link, observed 2026-08-03T05:09:29.138780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:09:29.138780Z digest=sha256:7f7edecfbdd2a6daccba2e84329d61b6e51425499c21b306b1de3dc50d624ff6

Observation 3e8d83cb-4c6a-45ac-92b9-0551ae36fb72 · inbound

ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs cites this paper.

ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 10

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no resolver link, observed 2026-08-03T03:37:50.111339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:37:50.111339Z digest=sha256:dc709a9f2fee439c245eca0deb7560f9c426f7af40662900cb326109487b377e

Observation 5f8d8ca4-0e8b-46fe-aa0c-79fdac5fc477 · inbound

Stem: Rethinking Causal Information Flow in Sparse Attention cites this paper.

Stem: Rethinking Causal Information Flow in Sparse Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T02:39:28.359337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:39:28.359337Z digest=sha256:47e398591c11f3a62ee9672a146583efc5d4f851f4b8d338000ae6dcb0aa541a

Observation 88fc869f-1d05-4729-8e22-07725221432e · inbound

Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference cites this paper.

Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T00:28:29.905861Z

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=2026-05-14T00:25:49.807277Z digest=sha256:c33b2e3d1adb1d6fb73bdefd4b0c27f128eb299d533ca68e9f785b19d0a80373

Observation c2a97b0c-22a3-4ac4-abe3-e6cbe9525d68 · inbound

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference cites this paper.

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 11

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verified exact
arxiv_id, observed 2026-05-11T06:25:58.263476Z

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=2026-05-10T17:39:18.387881Z digest=sha256:76cc063c4ed69d01cd0bd503a2a5d1644da14be99c5e8d07a838e145003e4980

Observation 840c3b2b-53d0-4d41-8606-7051d70dfe1a · inbound

Improving Sparse Autoencoder with Dynamic Attention cites this paper.

Improving Sparse Autoencoder with Dynamic Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 21

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verified exact
arxiv_id, observed 2026-05-10T11:10:09.005188Z

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=2026-05-10T11:07:24.389139Z digest=sha256:ad324390f625df5198bff0a253d8edec851fcce2eb306043d57b8bd1f82259a7

Observation e629aa06-b8b9-4394-98d8-09b019f22e4c · inbound

Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding cites this paper.

Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 11

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verified exact
arxiv_id, observed 2026-05-11T23:11:18.796344Z

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=2026-05-07T17:56:39.124969Z digest=sha256:ac5ae1f1d3fb48c2c09075b04c21fa0d8cccc838fe61e910ce8315f82b9e9480

Observation e91831c1-8e6e-4b27-b64d-7763b5db5d4b · inbound

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference cites this paper.

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 10

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verified exact
arxiv_id, observed 2026-05-11T03:30:56.540017Z

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=2026-05-11T02:27:55.991919Z digest=sha256:366f2e37f6328446e084daa0ab43d63976e274b2bb62039b95624cadf32b552b

Observation 3de099d1-a128-4e36-bace-ecf757c8e4dc · inbound

An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference cites this paper.

An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 15

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verified exact
arxiv_id, observed 2026-05-11T03:05:54.179460Z

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=2026-05-11T02:56:28.828593Z digest=sha256:e933ff5812e1372162a58035388c989d0e21f718e78d2366e439fa8c9a5a6f1f

Observation 1e1d00e9-0c61-43c6-8a98-86eea300b0fa · inbound

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models cites this paper.

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 183

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verified exact
arxiv_id, observed 2026-05-14T20:19:28.545227Z

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=2026-05-14T20:13:18.813131Z digest=sha256:06a0f1dfea9779c9f238b5205163a5ff82130e4cd4ac11e4c848f1f59559a895

Observation 05a6764b-b7de-422a-8305-57fc48fa1474 · inbound

CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection cites this paper.

CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 16

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verified exact
arxiv_id, observed 2026-05-19T21:22:47.994012Z

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=2026-05-19T21:19:31.263068Z digest=sha256:bb68c04b6dc017954fb9b41beaffbb6dfb3693f3e00504d825d00737aad1bc2b

Observation 22512576-7a2a-4be3-8518-2108e49e5c76 · inbound

DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention cites this paper.

DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 61

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arxiv_id, observed 2026-05-20T10:53:13.535272Z

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=2026-05-20T10:50:12.926232Z digest=sha256:7242ae16cb0edaee457e4f158af2d18f0c59aa8d523674c4b64e8d949570eacd

Observation 7c54c9b3-e913-4a01-bda1-e04c2e128d79 · inbound

Veda: Scalable Video Diffusion via Distilled Sparse Attention cites this paper.

Veda: Scalable Video Diffusion via Distilled Sparse Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 4

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metadata mismatch
arxiv_id, observed 2026-06-29T08:03:14.700175Z

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=2026-06-29T07:54:13.390911Z digest=sha256:6307cf572679a12bf99cee2d94b26eef966fc76cb4a1ef61cbbd720f12e225c0

Observation cc64822d-c3cc-4b61-bd68-4034171f3293 · inbound

You Only Index Once: Cross-Layer Sparse Attention with Shared Routing cites this paper.

You Only Index Once: Cross-Layer Sparse Attention with Shared Routing SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 9

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verified exact
arxiv_id, observed 2026-07-02T13:36:59.522839Z

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=2026-06-28T01:06:04.896501Z digest=sha256:ef37f5f540a143bdac3472baf1db0af7c04e7aa1bcb992d47becb1f98b336bf9

Observation b285cdf4-9467-4eef-a267-1ec0c423dd1d · inbound

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling cites this paper.

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 31

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no resolver link, observed 2026-07-12T05:40:56.557646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:40:56.557646Z digest=sha256:7cde07b8907090a0e9843d103b03e607c669268e1491df9b76f7dde54f882b72

Observation 2d42468b-c629-4372-92b4-0b7e7e6e27a3 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 40

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metadata mismatch
local_arxiv, observed 2026-07-10T01:36:44.066529Z

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=2026-07-10T01:26:59.421158Z digest=sha256:ba8197054dc0113c87120717bcaeae9562bcf8be378119cad5fc201c7f14b11d

Observation fb53bf35-9ed6-4b62-a55e-de6a8f697145 · inbound

Learning What Matters: Supervising Global Context Pruning with Causal Evidence Sets cites this paper.

Learning What Matters: Supervising Global Context Pruning with Causal Evidence Sets SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 9

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no resolver link, observed 2026-08-01T07:14:36.433018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:14:36.433018Z digest=sha256:be676e3e5be5af4487be439e547236eafa88444bd0d31cfeb3259568b225f526

Observation 5f24662f-4ecb-4e8a-8539-5011aac93f39 · 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 SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 17

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no resolver link, observed 2026-07-31T11:49:11.646757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:49:11.646757Z digest=sha256:4afd3e6abbe347b8f18a98df1e51ddbe2c123c7c54939875fd2d7a3c4b4878bd

Observation fb9c76ae-c1f1-4464-b8aa-2b608a2e0421 · inbound

PIVOT: Efficient Query-Group Indexing for Token-Level Sparse Attention cites this paper.

PIVOT: Efficient Query-Group Indexing for Token-Level Sparse Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 30

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unresolved
no resolver link, observed 2026-07-31T11:04:04.579723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T11:04:04.579723Z digest=sha256:c3bf6f394aa9e91c3636aeb00f5c347c46194c2481f9ec7aec618f7e52149ab6

Observation 57b10020-c421-416a-b7fc-22318a361253 · 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 SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 2

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unresolved
no resolver link, observed 2026-08-01T02:55:46.085046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:55:46.085046Z digest=sha256:529174d17fce6a0bf84ebe6e317f1f707eddd1ceb9ca936f5afc609df530b72e

Observation 22658ed4-4cf8-47d1-b9ed-cd537f32227c · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 30

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no resolver link, observed 2026-08-04T13:43:52.392419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0cba3d3f-205f-4cf8-9676-ecd70fbf4bc8 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 30

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no resolver link, observed 2026-08-07T00:11:48.830415Z

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Observation e2078dfc-c574-44de-bfdb-7e0cd65c37d2 · inbound

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference cites this paper.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 8

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no resolver link, observed 2026-08-05T20:50:03.966623Z

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