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Paper Citation Record · LEDGER

Effective Long-Context Scaling of Foundation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2309.16039.

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

pith.paper-citation-record.v1
2309.16039 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:50:03.340792Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation de159343-96e4-44b2-b362-1894086c305c · inbound

Yi: Open Foundation Models by 01.AI cites this paper.

Yi: Open Foundation Models by 01.AI Effective Long-Context Scaling of Foundation Models

Reference 84

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metadata mismatch
arxiv_id, observed 2026-05-13T05:47:27.926738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T05:47:27.775529Z digest=sha256:9d2c28f89f8c3d98f3d4649e2955bfed55f7cae520a056ed1483434fc629329f

Observation b751f984-93be-4913-a9ad-b0e1f11f1341 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 151

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.193152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:dca57e69e57bdcf39795f2782dfcf2fb2b4b22f6640e498c254ad7b0e8cf5d38

Observation 070d67f6-37b9-4881-89a9-033a825c40db · inbound

Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining cites this paper.

Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining Effective Long-Context Scaling of Foundation Models

Reference 15

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verified exact
arxiv_id, observed 2026-05-24T02:45:56.148382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T02:44:01.340415Z digest=sha256:4a630b085d5d2afde0a0366c7c282fe16b8c77080ece9d7d8b96e17b06248b06

Observation b7e885b4-9ee4-48ac-9fc8-46f35fdd1af0 · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Effective Long-Context Scaling of Foundation Models

Reference 44

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metadata mismatch
arxiv_id, observed 2026-05-13T18:00:53.587242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T18:00:53.389420Z digest=sha256:3893070dc969775163242aae04cbd18c8c2b0873915d0594a94b8d5a6419452b

Observation 2e04b2ef-fc49-44a2-80dd-3f3838c390c4 · inbound

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention cites this paper.

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Effective Long-Context Scaling of Foundation Models

Reference 32

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arxiv_id, observed 2026-05-21T18:17:00.182745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T18:17:00.157129Z digest=sha256:5f388a9052ae0525d87c80ef569d47292ba93530181a098d4da1457752397ebe

Observation b8fb69a8-2b39-455d-b764-0f6d566955ae · inbound

An Empirical Study of Mamba-based Language Models cites this paper.

An Empirical Study of Mamba-based Language Models Effective Long-Context Scaling of Foundation Models

Reference 51

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metadata mismatch
arxiv_id, observed 2026-05-18T10:31:03.937188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T10:31:03.777169Z digest=sha256:dea10d710e1685910bd8e03b43a58f7c4368352a95527dac5fedfbd60cce7895

Observation a1f18415-5f96-4a5d-b965-1694933d7121 · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models Effective Long-Context Scaling of Foundation Models

Reference 205

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arxiv_id, observed 2026-05-17T22:58:17.328146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:adf97cdc60a2bd25ad589a6dafb3ea441cdb46e69f4db96d0fbb26e09be173c8

Observation 1efb07d9-cfa6-45f8-8402-3048e9315387 · inbound

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools cites this paper.

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools Effective Long-Context Scaling of Foundation Models

Reference 47

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verified exact
arxiv_id, observed 2026-05-11T08:08:09.592936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T08:08:09.444352Z digest=sha256:70eb2cd2b8ffdbda8832a75faa0ad868376fbe08addecf8c1e0c5b662d2a3501

Observation ceaa4416-f71c-4ce5-b43a-767c2f1d8ec2 · inbound

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer cites this paper.

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer Effective Long-Context Scaling of Foundation Models

Reference 11

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arxiv_id, observed 2026-05-10T18:26:22.274236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T18:26:22.224924Z digest=sha256:de57d4bcbb675affa4a44a0c06758e39cff088e9a8ce73099fa7d3580f4f6873

Observation 24f88f60-4a42-4d81-8380-fccf16f39c25 · inbound

Qwen2.5 Technical Report cites this paper.

Qwen2.5 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 39

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metadata mismatch
arxiv_id, observed 2026-05-23T06:25:27.807139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:4681557464254db56aa485d8990ecb91b2c67b27c79ba1c24c4556e48949c32c

Observation 95c1ff53-a00f-4553-93c3-e7972323f675 · inbound

Qwen2.5-1M Technical Report cites this paper.

Qwen2.5-1M Technical Report Effective Long-Context Scaling of Foundation Models

Reference 21

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arxiv_id, observed 2026-05-15T05:26:00.157889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T05:25:59.964619Z digest=sha256:aa730f5df3a9530831f12bf52023bc8492676195336d4372458f935e7b425c3a

Observation deef4fd9-70e1-4e17-9a3e-b4ff77da508b · inbound

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING cites this paper.

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING Effective Long-Context Scaling of Foundation Models

Reference 50

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no resolver link, observed 2026-08-09T11:50:03.340792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:50:03.340792Z digest=sha256:6fda4d1d35b1a82ff7e06b16653f831aad2b29444f42fdc04368596f151e0fdf

Observation f80f3215-5206-4997-ac88-d9ea0cd44b21 · inbound

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation cites this paper.

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation Effective Long-Context Scaling of Foundation Models

Reference 51

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no resolver link, observed 2026-08-09T11:11:17.807536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:11:17.807536Z digest=sha256:c6b34367d1b7b7e7a45db9a797cf51dd88e40229d8b24a652d49702e9afcbc35

Observation c75a5024-6706-41a3-a1ff-a6369bb8ca60 · inbound

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models cites this paper.

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models Effective Long-Context Scaling of Foundation Models

Reference 12

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no resolver link, observed 2026-08-09T05:48:07.677274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:48:07.677274Z digest=sha256:c91f71c797f7998612a966b8f1197295e366935868473dab8c6f50ceb8f7019c

Observation 39c83ac0-c8f2-4c4c-b025-86d7bc3dfe3d · inbound

Minerva: A Programmable Memory Test Benchmark for Language Models cites this paper.

Minerva: A Programmable Memory Test Benchmark for Language Models Effective Long-Context Scaling of Foundation Models

Reference 31

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no resolver link, observed 2026-08-09T05:02:35.824173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:02:35.824173Z digest=sha256:4a4de6c45fd83fc1f417426cd8a786dc7ba5ce8b8a556515800ed98cb76c6c06

Observation 87cf181b-9fce-4008-b8a2-ed9fabef6bc7 · inbound

Training Sparse Mixture Of Experts Text Embedding Models cites this paper.

Training Sparse Mixture Of Experts Text Embedding Models Effective Long-Context Scaling of Foundation Models

Reference 24

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no resolver link, observed 2026-08-08T11:20:23.698827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:20:23.698827Z digest=sha256:1b756ecbcfcf75312f981a057125f4c6d26bd9808a4b717bb16f5255d867b4b2

Observation 3de63877-21a0-4fe7-b85d-29e2c110e9a0 · inbound

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

MoBA: Mixture of Block Attention for Long-Context LLMs Effective Long-Context Scaling of Foundation Models

Reference 40

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metadata mismatch
arxiv_id, observed 2026-05-16T06:15:46.122456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T06:15:46.085555Z digest=sha256:da97b51741cd0bd8498bada67ca4e0ebe18240b9c310e7ef1fc9405b06e57628

Observation a8d8f529-d730-47bb-b74f-28e120acbda6 · inbound

Qwen3 Technical Report cites this paper.

Qwen3 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:35:28.628333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:41361076aa0a7d90fc977aae7060ac5cd1d12f071f0961dbdab430fd5ed278b2

Observation ac372b97-7aa7-4b73-a546-883bb3bd8fc3 · inbound

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions cites this paper.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Effective Long-Context Scaling of Foundation Models

Reference 39

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no resolver link, observed 2026-08-07T15:08:03.619535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:03.619535Z digest=sha256:2b2787e381b9584b312aef05430856ace4ffc7c46ce801dd2508253365165b7e

Observation 498644d0-ddce-4eef-a8db-a0c47deab8f7 · inbound

SELF: Self-Extend the Context Length With Logistic Growth Function cites this paper.

SELF: Self-Extend the Context Length With Logistic Growth Function Effective Long-Context Scaling of Foundation Models

Reference 38

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no resolver link, observed 2026-08-07T14:52:14.996527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:14.996527Z digest=sha256:4aeb5b4e673726e39f2c3e022f0399cec0f517e93579368c6351ceadc6e5691b

Observation 1b9824f0-230c-4c10-8cb7-1ebe1d5bdeae · inbound

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning cites this paper.

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning Effective Long-Context Scaling of Foundation Models

Reference 33

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no resolver link, observed 2026-08-07T14:52:55.492170Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:55.492170Z digest=sha256:fdd4f55d8df7ef8792fc19ee1ebe4b27251472c82a86dd8df82bf591e5f771ad

Observation b4197dba-3d4d-4a2f-9023-2461b166a976 · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? Effective Long-Context Scaling of Foundation Models

Reference 39

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no resolver link, observed 2026-08-07T14:20:26.452682Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:20:26.452682Z digest=sha256:43978e3ea822d1bc654d031eed5d746d70b42aa0190179cbd9a1aaa3ed6654b1

Observation 5ea00957-85e6-4111-9afa-d33b3265181d · inbound

GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture cites this paper.

GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture Effective Long-Context Scaling of Foundation Models

Reference 36

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no resolver link, observed 2026-08-07T04:54:26.223746Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:54:26.223746Z digest=sha256:046213434ce9f9ef01513064dd37463a31a92fa0c3b0489b14d59055dcc13a3a

Observation 1af95218-cebe-4276-b85b-922499cfaf73 · inbound

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation cites this paper.

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation Effective Long-Context Scaling of Foundation Models

Reference 56

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no resolver link, observed 2026-08-06T23:49:48.167491Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:49:48.167491Z digest=sha256:bfe26eb5a08ce1bbf71648c731d40184c8f47efaa48bd560e82989ff9ba20fbe

Observation f15daf29-d480-49e0-9f74-7e0249d6a1c1 · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Effective Long-Context Scaling of Foundation Models

Reference 17

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arxiv_id, observed 2026-05-15T11:17:24.561802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T11:17:24.406028Z digest=sha256:75176b37515725f34615210041fbb5690aedfb99657bc78313d18a838064b987

Observation f97edf73-0655-4743-9206-f8c70b20bf38 · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Effective Long-Context Scaling of Foundation Models

Reference 17

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no resolver link, observed 2026-08-06T20:40:09.893452Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:09.893452Z digest=sha256:dffd16e4e6d2db716ccbfa112ca18c5105e2711e3e018c14177fe90550da67a2

Observation 0578d433-6bfb-4e80-a395-496323676242 · 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 Effective Long-Context Scaling of Foundation Models

Reference 51

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no resolver link, observed 2026-08-06T05:13:27.252272Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:13:27.252272Z digest=sha256:46b07ac7dbe95c6fb2e7a268913973ebe5ee7238b583a25c199853f44e38f67a

Observation 400ee6ed-76b1-4e79-a080-bb9d991620fb · inbound

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding cites this paper.

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding Effective Long-Context Scaling of Foundation Models

Reference 22

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no resolver link, observed 2026-08-05T17:46:46.815258Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:46:46.815258Z digest=sha256:34a3df9ddb17bad44230d28518d1401060643b2318c545bb58a05d8cb623a2db

Observation bf315b5a-5084-4d13-88b4-86c9807bab4f · inbound

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications cites this paper.

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications Effective Long-Context Scaling of Foundation Models

Reference 67

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no resolver link, observed 2026-08-05T17:26:28.943342Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:26:28.943342Z digest=sha256:183a2df376be19abe90abca6ef5928c3de1dfbe7bd1b2036ee255758fecfae5a

Observation 108ef45b-43d2-4de8-86ff-1f5f4fc182d4 · inbound

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models cites this paper.

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models Effective Long-Context Scaling of Foundation Models

Reference 49

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no resolver link, observed 2026-08-05T05:36:56.768551Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:36:56.768551Z digest=sha256:34ca8ce7412bc853d6975fad931aedaaa489f615b51c63c40b66e897e124e1ef

Observation fd421750-e2d4-4161-86ff-1640931f675c · inbound

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery cites this paper.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Effective Long-Context Scaling of Foundation Models

Reference 18

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no resolver link, observed 2026-08-04T21:37:23.079381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:37:23.079381Z digest=sha256:b0e34036900f98f2bda1bd29e20e0599eeb5d33f43a513e4df56ff45503e29f6

Observation 68fe0276-efc3-4a0d-8d17-01c722473bd1 · inbound

Positional Encoding via Token-Aware Phase Attention cites this paper.

Positional Encoding via Token-Aware Phase Attention Effective Long-Context Scaling of Foundation Models

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-18T16:21:36.709109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T16:19:48.318702Z digest=sha256:07e2b4e06902eda064d1765d0e2f39a8d754a28a3181f3ff53637cb8d51cc6a3

Observation 54d2f944-117c-4f58-9909-61e7e9fba39c · inbound

Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.

Kimi Linear: An Expressive, Efficient Attention Architecture Effective Long-Context Scaling of Foundation Models

Reference 111

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arxiv_id, observed 2026-05-13T23:49:10.920344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T23:49:10.555255Z digest=sha256:83ab2acd96ec348dc3885c86695d117d77700ab7ba84034edcd6d31bd35779f1

Observation 4da40a99-a044-43fd-8821-49234d6547b3 · inbound

Group Representational Position Encoding cites this paper.

Group Representational Position Encoding Effective Long-Context Scaling of Foundation Models

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-17T00:08:43.795033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T00:04:13.707931Z digest=sha256:fcd32d864590489c2fb890ba8c5a55dea59f2454a2e2fbcecffaaa791cab6ed3

Observation 887d0e6b-6dd6-4ffb-81b2-2f30da466347 · inbound

Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training cites this paper.

Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training Effective Long-Context Scaling of Foundation Models

Reference 50

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arxiv_id, observed 2026-05-15T01:18:26.583970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T01:15:26.757215Z digest=sha256:132ac7e120df9fb6a189395cf1b81da637d2e3e75b716f344e36a9d5feb9d611

Observation 360a7722-9923-41b7-aa4a-43901ae9cbcf · inbound

PolicyLong: Towards On-Policy Context Extension cites this paper.

PolicyLong: Towards On-Policy Context Extension Effective Long-Context Scaling of Foundation Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:55:59.842670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:23:28.939977Z digest=sha256:d8c1d3004166176d02c6f6dcdb4be32ab905aecf253a891e0c14c89d65f4a929

Observation 3dec61b5-ca15-4c0b-b0e3-e15ef88e1595 · inbound

HieraSparse: Hierarchical Semi-Structured Sparse KV Attention cites this paper.

HieraSparse: Hierarchical Semi-Structured Sparse KV Attention Effective Long-Context Scaling of Foundation Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:16:54.154856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T07:15:19.184970Z digest=sha256:d91ca379cbd8630a8a52b51540513fbb16847b0c8c139d0863db2a0a8e31f145

Observation 2af03048-6b25-4f6e-b3bc-93e7fba983f3 · inbound

PJ-RoPE: A Fourier-Jet-Affine Position Space for Relative Attention cites this paper.

PJ-RoPE: A Fourier-Jet-Affine Position Space for Relative Attention Effective Long-Context Scaling of Foundation Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:36:44.000716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:22:20.966483Z digest=sha256:65b70caf28e262805557b7729381693e51f98bb55af1dab73359657e47eaa650

Observation 9a93caa2-d800-4c6c-9803-82d516048794 · inbound

HSAP: A Hierarchical Sequence-aware Parallelism for Hybrid-Context Generative Models cites this paper.

HSAP: A Hierarchical Sequence-aware Parallelism for Hybrid-Context Generative Models Effective Long-Context Scaling of Foundation Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:21.743679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T07:27:34.161517Z digest=sha256:1d29e607be51cec3dc9b15d56098f061adae855cd6700b885c4ccd112a7b74db

Observation 5cd62d5c-7320-4fd9-b90b-e19165b97681 · inbound

HSAP: A Hierarchical Sequence-aware Parallelism for Hybrid-Context Generative Models cites this paper.

HSAP: A Hierarchical Sequence-aware Parallelism for Hybrid-Context Generative Models Effective Long-Context Scaling of Foundation Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:35.666180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T06:58:30.817223Z digest=sha256:6fe43e8f0a681b6f371da04a045ad058077a523440413ffc2a2302cfe7d03d50

Observation 938a1682-9e9e-4d56-8ed0-cfc9c55d629a · inbound

Domyn-Small: A European 10B Reasoning Language Model cites this paper.

Domyn-Small: A European 10B Reasoning Language Model Effective Long-Context Scaling of Foundation Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T14:07:53.521077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:07:53.521077Z digest=sha256:14b1c150448778e3dfac678123cf7cf64d0665d6d0790de8ebfdeef80f2b1a89