Paper Citation Record · LEDGER

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2308.16137.

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

pith.paper-citation-record.v1
2308.16137 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 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 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:35:10.450502Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:58.965650Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 1798dffb-aa43-4817-bb5e-e033a0ad4754 · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T18:00:50.520156Z

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.

Observation b806f92c-5f04-4724-a73c-da695ce8b1ca · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.590399Z

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.

Observation c349c23a-8920-4d8b-875c-c2d03ba5312c · inbound

YaRN: Efficient Context Window Extension of Large Language Models cites this paper.

YaRN: Efficient Context Window Extension of Large Language Models LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:51.081241Z

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.

Observation 8dd6b942-80ed-443e-b64e-68591d84b91f · inbound

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens cites this paper.

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:31:04.808774Z

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.

Observation fbe42069-2855-4559-b05c-d2537847f947 · inbound

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

RULER: What's the Real Context Size of Your Long-Context Language Models? LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.625562Z

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.

Observation 7a68cb7e-960f-4615-b7d5-e3fd24d35a13 · inbound

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling cites this paper.

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:58:29.156505Z

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.

Observation c14fe22c-a852-404f-8ff5-09a618e0dd22 · inbound

PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction cites this paper.

PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:12:14.781748Z

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.

Observation 6afc8d7c-dbe0-460f-a695-dfda2b3c5830 · inbound

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity cites this paper.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:35:10.450502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5bb579-0a93-4f9e-89b4-1066f8227d71 · inbound

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation cites this paper.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T13:02:23.466396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f8bdbd-f073-407f-b83e-93d7f6cc8a34 · inbound

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU cites this paper.

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:37.832723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e66b81e-5b21-47ef-8472-476c2beb32cb · 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 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:00.761662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42545fb-8785-4870-809f-8e4199fea2a3 · inbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:13.219156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6f39f0d-4cd4-4439-ba1b-049f3fb3b6ab · inbound

Curse of High Dimensionality Issue in Transformer for Long-context Modeling cites this paper.

Curse of High Dimensionality Issue in Transformer for Long-context Modeling LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:12.222334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1f97f4-31be-47bf-a7e4-89aa14373d90 · 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 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:03.996288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59c4f0f8-6bc4-4735-a902-d56b017cf2cc · inbound

Native-Resolution Image Synthesis cites this paper.

Native-Resolution Image Synthesis LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:23.945547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05067d3-3654-4711-93d6-15f78c468956 · inbound

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models cites this paper.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:06.070721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31325cda-12db-4b24-85ca-015f9d77a715 · inbound

Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.

Docopilot: Improving Multimodal Models for Document-Level Understanding LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:57:00.920875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf543205-dd9c-4967-8698-5aedea26e86b · inbound

FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression cites this paper.

FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:00:43.237147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea2deaf-e721-4bce-ae6b-4597daea1ed6 · inbound

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT cites this paper.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:30.959453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f67058-5aeb-4794-9502-cf08d945e7e4 · inbound

Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference cites this paper.

Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T07:44:16.124951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d3568d7-5429-4c68-8b5c-e778931cea00 · inbound

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization cites this paper.

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:08.008421Z

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.

Observation 4f72b1ba-359b-4577-97f0-0f61bea1e624 · inbound

The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity cites this paper.

The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:08.539614Z

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.

Observation e3f40dc4-dca4-4a3c-804b-4d2ec89a7aff · inbound

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing cites this paper.

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:26:30.166285Z

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.

Observation 5b879935-f2aa-4a79-a91e-c62fa0d794b6 · inbound

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction cites this paper.

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:41:26.495354Z

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.

Observation 095ffcf9-aa6f-4a7d-a19d-de9b8eb0a671 · inbound

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions cites this paper.

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.471183Z

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.

Observation 1933acf1-a305-4328-8bcf-e64efd8845cf · inbound

Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context cites this paper.

Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:46:14.242300Z

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.

Observation e7ebb1c9-2af4-4c2c-89f8-bf4890ee9f60 · inbound

Still: Amortized KV Cache Compaction in a Single Forward Pass cites this paper.

Still: Amortized KV Cache Compaction in a Single Forward Pass LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.161493Z

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.

Observation 36f92f5c-a675-45ca-a08c-aa871ad8b4f5 · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 187

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:58.967557Z

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.

Observation 88fe0820-a59a-48af-a2bd-9376e47813d3 · inbound

Coverage-Driven KV Cache Eviction for Efficient and Improved Inference of LLM cites this paper.

Coverage-Driven KV Cache Eviction for Efficient and Improved Inference of LLM LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:24:21.363000Z

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.

Observation f51a0686-9c62-4327-92f9-b133c37e797f · inbound

From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving cites this paper.

From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T09:50:23.266920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f50a51d-e0e0-4930-81ef-6f1b90c55994 · inbound

Structured Thoughts For Improved Reasoning And Context Pruning cites this paper.

Structured Thoughts For Improved Reasoning And Context Pruning LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T12:08:05.502310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e89e45-5f30-4b1a-b4a0-638c9cb50e0b · inbound

DeCoRAG: Cognitive Decoupling and Semantic-Aware Cropping for Complex Document Understanding cites this paper.

DeCoRAG: Cognitive Decoupling and Semantic-Aware Cropping for Complex Document Understanding LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-31T11:50:16.936655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa139c7-e1fe-4b1e-991d-524c02647f5e · 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 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T13:43:51.262644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 964a0bfd-f71f-4f5b-a061-e85ab2cbcdbd · 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 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:11:48.558405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.