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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 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 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:56:29.140329Z

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

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External citation measurements

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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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T18:00:50.053377Z digest=sha256:5e3576e65e5824c930c65a35f667719bda512a7cfa6453cee98d4e86def6987f

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:3d4fe178d336c65f92023eb1eaaadebb12cb3c3588aa0e83b0964931e6ca2a66

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T06:46:50.042423Z digest=sha256:9297a4cc4ffd166d29e067319680edf4125b85f4965178cf1c57eeff04a99530

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T08:31:04.774135Z digest=sha256:1a6a01f3d9aa990d18e13ddad73f2339bacbbb0e61eb5cebd0c385de3ec96615

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:802d3359044920eadac02472a4c5f67fe6a9f0392ecee68b8b93e95ac2f245de

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T09:58:29.057357Z digest=sha256:796ee1775d030748bae6e02baa30a9b18706aa048f6f57680bedf1779faa7174

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T12:12:14.613620Z digest=sha256:218ea6fea6fc49e74cf983ed3d16e4fcdf9d41517fd76c397606fce667d7e7fc

Observation de08d952-4ae0-4b92-bf16-ed3a84e1ce37 · inbound

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training cites this paper.

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 20

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no resolver link, observed 2026-08-12T16:30:21.153258Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:30:21.153258Z digest=sha256:56f5e646ac3ebb3d617174b90cfc52580f79effd9b1943915cb5ea51ae37ad5b

Observation 73097c2e-7772-4ed8-962c-233593c88cbd · inbound

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks cites this paper.

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 43

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no resolver link, observed 2026-08-12T11:29:29.385611Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:29:29.385611Z digest=sha256:78bc17a49ccd7356ad382e7f499347e51166adf5e8f9d3a03e580850199cec03

Observation 1b99d1a8-e6ce-4246-86b3-f351671d2003 · inbound

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification cites this paper.

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 2018

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no resolver link, observed 2026-08-12T05:01:00.290053Z

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source=pdf_text observed=2026-08-12T05:01:00.290053Z digest=sha256:946de4fdedccba23deea1981715e40fadff4299e274a5e0b5aae4140afa6a681

Observation 8e0eba31-cc87-4df4-bcc6-0f609fccb8bf · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 44

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:58:03.075018Z digest=sha256:495a9baa5e35ff31ae8e465575a30f97f3d38f307c72c7d21fe330c27f46146a

Observation 81609661-bbeb-4667-b9fa-27153bd0abb3 · inbound

Core Context Aware Transformers for Long Context Language Modeling cites this paper.

Core Context Aware Transformers for Long Context Language Modeling LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 2025

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no resolver link, observed 2026-08-11T14:11:39.633204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:11:39.633204Z digest=sha256:f7e7bacd48183d89a621fafcd88909b36f748ed672f1b67cbf4827a334770e98

Observation 5374cbf2-4686-41a4-bd8c-c8e0e6f0f84b · inbound

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models cites this paper.

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 11

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no resolver link, observed 2026-08-10T23:09:25.007680Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:09:25.007680Z digest=sha256:87103ffa1f1651d4dd28942b4a38ce3b17413189a008cce22ee034fc039bc4a5

Observation 1f90e41c-179f-4239-9296-8d1b5e1491c4 · inbound

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

NExtLong: Toward Effective Long-Context Training without Long Documents LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 38

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no resolver link, observed 2026-08-10T16:52:49.698721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:52:49.698721Z digest=sha256:c419499f7ea938bfa462efc06364f616f85d4100aaf4d8b0cc8f2bde4af99665

Observation 29f70fda-990d-4de0-8647-57ce9d70a351 · inbound

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads cites this paper.

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 30

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no resolver link, observed 2026-08-10T14:41:05.099612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:41:05.099612Z digest=sha256:9e42e8d9c7153d5f21e23439e330cbb00cac8b14af0aeb8b0007adb13aa1b6d7

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.450502Z digest=sha256:1cedf6b33ae8e68d16bc15fb9e5c72d7f17e46752bf8c6eedde0a85fcb4aaff2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.466396Z digest=sha256:8c749dcb41da7190788b343b17f6e071496b14696ea9acad1e680bdccffbb4b7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:19:37.832723Z digest=sha256:8dc2f5ceadbcb2f69c9fe7153f0af8606c93b1db9434206c01f96eb912adb5a1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:00.761662Z digest=sha256:fb900f05fc47267c495e348a11a38ae016bb39a5abae1f68491eea4bf85405fc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:13.219156Z digest=sha256:bd89b24cf4c79e48a975be6112ea6504ce85a2786997507218c188123c9197a9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:23:12.222334Z digest=sha256:f3861523d73bfcd636f8daa1a2b903406a3df7224831c8a4cbe3d12de0435d99

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:03.996288Z digest=sha256:f0c5c538c7fa52f5b4ab33ed4e6aa8908a62381b4cf5fb04109607e8fbcd346a

Observation 85d2c348-292e-4495-bef4-07dac0415773 · inbound

SpecMemo: Speculative Decoding is in Your Pocket cites this paper.

SpecMemo: Speculative Decoding is in Your Pocket LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 34

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no resolver link, observed 2026-08-15T20:56:29.140329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:56:29.140329Z digest=sha256:be15a275fb92fa95faab89a4096b2329d3354f9899614509efccd7b9c8c33c4c

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:23.945547Z digest=sha256:3cd5290601a97f8c6d78d94fae2572cccd8690c4b6ebc192f71bf8d4e05c33ac

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:06.070721Z digest=sha256:063bab409a96eccecf021cec3ff53b0d6113266db88cabee6eff3e525f5a3ad7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:57:00.920875Z digest=sha256:c3bd8f12e205b9ce93474367043b6a006734abfa73930f66db5d61b9b7825ba7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:00:43.237147Z digest=sha256:ccbce98bafc54b7cd4ee457324331b4b4dbd955f81f75ac5098124c3497da438

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:30.959453Z digest=sha256:9b46b53ce13ad46cdc99e343728d0ede0f7a247a3e6659a3a79daa902dc8b984

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:44:16.124951Z digest=sha256:63f6f449ce51d67abbf7995e2aac7aea6c63ceeff752938f23c40bf113e040c5

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T16:06:26.450483Z digest=sha256:7724fadd93d4b734d950124e4c85d66f1d52bc388cde2aea34de7db0317f47fb

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T12:11:04.146711Z digest=sha256:ce331a260c163fee93b67bbf7a03cdbaf9b997b33a40db2e48bd8da5332374b1

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T02:52:33.076123Z digest=sha256:fe8bc751790b77e476794efd979de4064a8a4e9072075396dbfffb7af6311f12

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T05:02:25.513351Z digest=sha256:986c84658356ccb54eba7d16908c31526f7f1c51c4b5494405a2845a7f65b56a

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T15:17:37.904831Z digest=sha256:b7fc0d176c5dd427b3352e7be9e0eb54d7a0b7ecb3075abe53b5c0f6804f2085

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T17:39:50.539344Z digest=sha256:1f4187b33f45c40c66be093bf6d4a7b6fe3e456cf56835030bb8633102317cad

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T22:21:44.541078Z digest=sha256:fbec77fdc21f7fef6dcaf4853330a2231bd272060c10233e2aa9b73babf2e04b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T00:00:16.588823Z digest=sha256:82cef629cefa7442cb9dfded91fe520ea98a85d9116fadbc7daf371871d3f6b1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T07:19:48.530272Z digest=sha256:107deeb0e830f01bb5649ae18f2b4cd9d7fe3ede086e1432b5241afed7adc3e3

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.

source=pdf_text observed=2026-07-12T09:50:23.266920Z digest=sha256:3cbd6fd484fe63d082252232019a8459331d4843a58e6eeb64ec532ac5d9d5fc

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.

source=arxiv_source observed=2026-07-14T12:08:05.502310Z digest=sha256:6bb618d33c529b57c25d2a41c5045fc48a5fb11db810eea0ddc25367d33e694b

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.

source=pdf_text observed=2026-07-31T11:50:16.936655Z digest=sha256:e7d983cc2fb08142e601dcb11ee431e6c6aaf7f6e16263141520eff59a834a70

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.

source=arxiv_source observed=2026-08-04T13:43:51.262644Z digest=sha256:5746b8aca4e866592636c0a7014e30a6356205d715fbf209e25ad7d4d52cef51

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.

source=arxiv_source observed=2026-08-07T00:11:48.558405Z digest=sha256:8f68d7db9ab33d04b9e8c1869362ec150ddabc6cc25ab4c1723e698e884e076d

Observation e9f018a0-9c32-44c2-bb5a-c878d81c7684 · inbound

HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models cites this paper.

HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T16:52:47.033144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:52:47.033144Z digest=sha256:83a298ebf95a776e7fcc1ad81282668f9f83c30c4559279a862a9cff7bc1eca5