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Paper Citation Record · LEDGER

Effective Long-Context Scaling of Foundation Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 53 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 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 53 of 53 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:12.274120Z

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T05:47:27.775529Z digest=sha256:ec757f6e3e5a6133f4f0a3f09da5d24ddb02b547338ad811f6f11f355064a10c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ab7532e4d46fbf364c45cf0bd524db4d826db07c377ab1eb5913630bcafe64fb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T02:44:01.340415Z digest=sha256:4ace4d43c51ae88622bbaf0ed09479324ff9fa593eac9a693b6404b542611236

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T18:00:53.389420Z digest=sha256:fe125a88605308b75deb84a38e01e44ff40302b2545f2b72987808b1e5f81652

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T18:17:00.157129Z digest=sha256:40384bd1a08148a8da207b67c3a169856393ab33ec823f768e8360eb3209cc9b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T10:31:03.777169Z digest=sha256:31bc393c0fd8a05da5deb7e80fdbcbf4619befca594c990ae45217ec35827c73

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:1b06a9d82a6eb22795c16254f473c057ed4dd6156775da0e53806b17b8793017

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T08:08:09.444352Z digest=sha256:488cc348ab013e15fdc896fbc8554507dedfe20228c92fa33737376820b3e982

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T18:26:22.224924Z digest=sha256:325be22bd05e2bbd09ceac7ad782511ff5181692eb448545b96ee2db7c7aa7b2

Observation 6f329ffc-b83a-4509-a065-6b54d8144d4f · inbound

Xmodel-1.5: An 1B-scale Multilingual LLM cites this paper.

Xmodel-1.5: An 1B-scale Multilingual LLM Effective Long-Context Scaling of Foundation Models

Reference 44

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no resolver link, observed 2026-08-12T20:02:51.236503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:02:51.236503Z digest=sha256:2b47155d306782727936601aa874ea5ee9d748eb48f3197ba8f1cc87d0244c98

Observation 6fd3afee-f37b-472f-bf7b-881a4892d6bb · inbound

DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities cites this paper.

DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities Effective Long-Context Scaling of Foundation Models

Reference 18

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no resolver link, observed 2026-08-12T10:17:30.330911Z

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source=arxiv_source observed=2026-08-12T10:17:30.330911Z digest=sha256:dfba7f50b236b469daa2db8546d2459515f4661aa4cf50f04b8acf4eaba8d7b2

Observation dbb1d31c-dfe5-4825-9108-012abf3a98a3 · inbound

Yi-Lightning Technical Report cites this paper.

Yi-Lightning Technical Report Effective Long-Context Scaling of Foundation Models

Reference 35

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no resolver link, observed 2026-08-12T04:34:12.107913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.107913Z digest=sha256:0e774e44baceefa41389b0333f73397470d3b855c34d2c0da9f931c5ade36f03

Observation 53c051cd-2d4c-4f9c-a8b2-32f3f627ae41 · inbound

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models cites this paper.

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models Effective Long-Context Scaling of Foundation Models

Reference 62

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no resolver link, observed 2026-08-11T19:11:06.340763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:11:06.340763Z digest=sha256:15b64a2962915a6e5f57c80c0ed2578b062c56b368974e1e730725098e108f6c

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:17d1be6cd233e5f4d2d89d84b99fe6366c698800fde5e086331437e9ceda2973

Observation 02fb6abf-b3da-4d9a-8409-20c689e484c8 · inbound

Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks cites this paper.

Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks Effective Long-Context Scaling of Foundation Models

Reference 1

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no resolver link, observed 2026-08-10T21:01:58.744944Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:01:58.744944Z digest=sha256:6e3439d67fc1650912aa575781fe4e6a8343527559874844eb496ab06e344ee1

Observation 10708ca0-81be-4672-8a61-9026eb398019 · inbound

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

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning Effective Long-Context Scaling of Foundation Models

Reference 69

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no resolver link, observed 2026-08-10T20:26:11.222878Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:26:11.222878Z digest=sha256:1403507286ae6c852d12b99450b35e06a71ed8a71e804e206252ac252751d4f9

Observation 617a8f47-0fa7-4ea3-8810-8c927afbb859 · inbound

DNA 1.0 Technical Report cites this paper.

DNA 1.0 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 24

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no resolver link, observed 2026-08-10T19:04:35.019555Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:04:35.019555Z digest=sha256:71c4b7bd5dc3128e0506821af1aa62246dd131cbaba5413090913265a4804cb2

Observation 8f7c402a-5d74-43cc-ade3-a85a54bc7d24 · inbound

NExtLong: Toward Effective Long-Context Training without Long Documents cites this paper.

NExtLong: Toward Effective Long-Context Training without Long Documents Effective Long-Context Scaling of Foundation Models

Reference 103

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no resolver link, observed 2026-08-10T16:52:49.887793Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T16:52:49.887793Z digest=sha256:91b5448f599786e0ccaf3f132cb3883ef8be98451c4e631d3d59ff6143c06d22

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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metadata mismatch
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T05:25:59.964619Z digest=sha256:0840e0dd28788641bfbd20cf7ebeab73380adb6c22251b4d7fbb0c2ec6933916

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

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source=pdf_text observed=2026-08-09T11:50:03.340792Z digest=sha256:10bb4c82843a7f909fa4f28085e614f4c7ad159f418b2cf8c943e69b2f5893b6

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:11:17.807536Z digest=sha256:62adad9a81b7ae4a2a32fd677bf348a9859e94dbe569c5e246a9911b7d2a917c

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

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source=pdf_text observed=2026-08-09T05:48:07.677274Z digest=sha256:463ed53d1af1f4e5c9587e5224e94a0968cfd9d71bcb1ab1d98dc07b26c518b3

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:02:35.824173Z digest=sha256:ae6c5722f7e0084e81f85cda1a63346e005c8e1be511c540cc15c9b4072cf54a

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

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source=pdf_text observed=2026-08-08T11:20:23.698827Z digest=sha256:8cc1ade40371a13994a966257b17446bec093dfdc3b3824603dc807e2c94dba1

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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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-16T06:15:46.085555Z digest=sha256:d7eb180e88aaec3f4393634cdaed75efeeb53cf256f36b125cf2a167b215cfcb

Observation 7317f681-6c9b-44a3-bc55-2703162eaa23 · inbound

Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation cites this paper.

Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation Effective Long-Context Scaling of Foundation Models

Reference 30

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source=arxiv_source observed=2026-08-16T12:30:12.274120Z digest=sha256:0c53d15c4080141ef778b68dc6d85f147df69d7229977df33230dfa1cf1b1ea5

Observation cdea5cac-3103-42ef-b352-3f11788b9353 · inbound

Trillion 7B Technical Report cites this paper.

Trillion 7B Technical Report Effective Long-Context Scaling of Foundation Models

Reference 69

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no resolver link, observed 2026-08-16T11:32:06.117439Z

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source=arxiv_source observed=2026-08-16T11:32:06.117439Z digest=sha256:bd58e7632d4666c8d51954eaa6908f0c08dcda86c010dc80e51ae9b660a89a0f

Observation e07c4a97-c7c8-452f-96ee-184321141d9c · inbound

Compass-V2 Technical Report cites this paper.

Compass-V2 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 72

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no resolver link, observed 2026-08-16T11:28:01.947054Z

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source=arxiv_source observed=2026-08-16T11:28:01.947054Z digest=sha256:368a4eb28533a4456ab52fd8230ff5232153b721511a35b154ba01c69f5835e3

Observation 8184d268-409a-4886-a8b4-19829f700d2e · inbound

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation cites this paper.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Effective Long-Context Scaling of Foundation Models

Reference 42

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no resolver link, observed 2026-08-16T10:12:42.526808Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.526808Z digest=sha256:6fda5adac95b60b7224cfc6de51fbbea74d63e5912b7f40b3695e1ea444284b5

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:e9eb355f73e9d2a31b97cf1acda7a1e2a9699f29a2ff18b8f93e5b58cf26fd7d

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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source=pdf_text observed=2026-08-07T15:08:03.619535Z digest=sha256:780c35e64ac2c1b67c3643b135879865b01d6ae8483fd8ddad65f20a6cc31098

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

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source=arxiv_source observed=2026-08-07T14:52:14.996527Z digest=sha256:09272a64378b9f60425b599a4a900d21d2951813bb83a87e8b7924f36805c72a

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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source=pdf_text observed=2026-08-07T14:52:55.492170Z digest=sha256:dc47725dfaf2a8348e9c7ee57955329c4a0ac815e0d94a55652239763739041d

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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source=arxiv_source observed=2026-08-07T14:20:26.452682Z digest=sha256:fa21add961fdd65a7123a9dfc519aaa35c2855c78ffeedad1a9810195eea06b7

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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source=arxiv_source observed=2026-08-07T04:54:26.223746Z digest=sha256:7698de59c3e18bd9992d973d07ed39c1d22d2a1c40fccdaa57379133b97f1c1a

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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source=arxiv_source observed=2026-08-06T23:49:48.167491Z digest=sha256:6ea202f98545859560fef37258ab53b9550934b2012eaa459d0d96b18aa0b351

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

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T11:17:24.406028Z digest=sha256:ea73001a49db3cdb74fd570c2cef5cb8dc63382526bb16f580619adc82d61139

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:ddb3ac878158b8c7fe47bda82f21d3b6729cd713a045a0ed2a076c31cc8016cc

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:d4e2300ccf3502f5fec0f619db24b4a14edc0b70e14795888e9fe5ce171c14b7

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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source=pdf_text observed=2026-08-05T17:46:46.815258Z digest=sha256:163b97fa2c908caa212f208c5eeba84af53b0517c2554e96bf1abe198fcc8693

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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source=arxiv_source observed=2026-08-05T17:26:28.943342Z digest=sha256:b506902a50830cf2fb02d12e3766f7c2d1f9d8bf3437696039e22597185a23bc

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=sha256:52046203efea7ed4d78fab237ef98e3fbc9e0f4fdaedef0759a26294ccb349de

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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unresolved
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:fa6418f38622a1457940a4b3fced21ebb2695b90bc9585409d9d91ab0b4ede6f

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T16:19:48.318702Z digest=sha256:6b36eaad6a58b90356afd7f1bbdc0b83cf5b771c97ee81451b057d53c2a066e1

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T23:49:10.555255Z digest=sha256:b7adc79f61069cf8eb48922858cd4fc33a1a4174a83022e12f2853a155c8f82a

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T00:04:13.707931Z digest=sha256:ab587f2219c64a7362e85b64105aefdb43bb5e96049eb3f1e0e419e0e976c89b

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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metadata mismatch
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T01:15:26.757215Z digest=sha256:be4796c3b97175eea37f47e5d2dcc72a9a9c20349ae69115890813a73ec88e06

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T17:23:28.939977Z digest=sha256:8b9efcad23d8c2c8a3b320b76911d5c448f8bdf09625be6f70a68207e162786f

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T07:15:19.184970Z digest=sha256:f6377ab925b867a8e8ce708e91175c8f9575af50e0586b44ba6497403c5c72b2

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T07:22:20.966483Z digest=sha256:f3333806a96bb56b6668957110f2f45e1260ac6c3098449c2586137c96524649

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-30T07:27:34.161517Z digest=sha256:30ef9d2a42393cf3505d55f9ebc0b4a7b3d7a2be718f7e56fae562eda3caff5c

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-01T06:58:30.817223Z digest=sha256:fb18e1a997d4a7cabc91174cf8323e791e430c7ddd6dd49dcedf1dbd3812b903

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

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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=sha256:919a281313ac4afb2b8fc349e61183395ec55ba711e04de22d5124213e758696