Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 100 inbound Pith citation observations for arXiv:2404.06654.

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

pith.paper-citation-record.v1
2404.06654 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T03:55:20.355345Z

measured 150 of 150 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 100 of 266 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:26:28.840842Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

50 of 50 outbound references displayed

verified exact26
verified fuzzy8
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch10

External citation measurements

12
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 26815c88-fcda-4432-8233-826a8684642f · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

RULER: What's the Real Context Size of Your Long-Context Language Models? Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:55:20.583432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91fcfe3a-e6c9-4c4c-9a5e-c440418add1e · outbound

This paper cites Many-Shot In-Context Learning.

RULER: What's the Real Context Size of Your Long-Context Language Models? Many-Shot In-Context Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.460412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db3a4c21-bb2c-44ab-b8f3-fb75df253997 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

RULER: What's the Real Context Size of Your Long-Context Language Models? LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:22:11.032040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10c3e557-1ea9-48bf-bf24-7eab00852f92 · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

RULER: What's the Real Context Size of Your Long-Context Language Models? xLSTM: Extended Long Short-Term Memory

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.472002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 546bfbad-7e42-4abe-b378-39e7f4c5320d · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

RULER: What's the Real Context Size of Your Long-Context Language Models? In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.476582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4952204a-48e1-4565-b871-b3998a2ead14 · outbound

This paper cites Scaling Transformer to 1M tokens and beyond with RMT.

RULER: What's the Real Context Size of Your Long-Context Language Models? Scaling Transformer to 1M tokens and beyond with RMT

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.480965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fcf158ed-a220-49fa-8a17-c0326fb73b8c · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

RULER: What's the Real Context Size of Your Long-Context Language Models? Generating Long Sequences with Sparse Transformers

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:55:20.484767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation caac8aa9-2118-417f-aebd-94d2ca96fd28 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

RULER: What's the Real Context Size of Your Long-Context Language Models? FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:55:20.489912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bfbdb15a-e16a-41f4-b7c0-e8ae7894f851 · outbound

This paper cites Introducing dbrx: A new state-of-the-art open llm.

RULER: What's the Real Context Size of Your Long-Context Language Models? Introducing dbrx: A new state-of-the-art open llm

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.667175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4272cbb2-d1e6-4182-9ba8-2c942d28a784 · outbound

This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.

RULER: What's the Real Context Size of Your Long-Context Language Models? LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.565845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96f97e74-23c5-4e4f-82f7-7a225283de2a · outbound

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

RULER: What's the Real Context Size of Your Long-Context Language Models? LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:31:04.851790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9992c9b5-ee95-4f34-997e-1a16d5143b5f · outbound

This paper cites BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models.

RULER: What's the Real Context Size of Your Long-Context Language Models? BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.575906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e1181f8f-1386-4869-85a9-5b1aae4af19d · outbound

This paper cites Data Engineering for Scaling Language Models to 128K Context.

RULER: What's the Real Context Size of Your Long-Context Language Models? Data Engineering for Scaling Language Models to 128K Context

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.448654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation adbdbc9b-9d39-4a1b-a17d-3da4800870bc · outbound

This paper cites Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP.

RULER: What's the Real Context Size of Your Long-Context Language Models? Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.587514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dedbc471-1d7d-4f8f-a39b-82ce5d8ac187 · outbound

This paper cites Neural Turing Machines.

RULER: What's the Real Context Size of Your Long-Context Language Models? Neural Turing Machines

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:34:44.411886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8360b882-591c-4233-9a15-0460bbe4a952 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

RULER: What's the Real Context Size of Your Long-Context Language Models? Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:55:20.620132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

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 2026-08-05T06:32:48.257954+00:00.

Observation 7632e926-8083-4a5c-92d3-219d739e4ae2 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

RULER: What's the Real Context Size of Your Long-Context Language Models? DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:07:22.650116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49d4e094-3781-408e-afac-9381e65c4538 · outbound

This paper cites Mixtral of Experts.

RULER: What's the Real Context Size of Your Long-Context Language Models? Mixtral of Experts

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:55:20.638569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b7daf39e-08a9-45d7-9a3a-8c5d5137b215 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

RULER: What's the Real Context Size of Your Long-Context Language Models? LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.645643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8bbca0f-b3e3-4670-a060-d9685fb5b464 · outbound

This paper cites One Thousand and One Pairs: A "novel" challenge for long-context language models.

RULER: What's the Real Context Size of Your Long-Context Language Models? One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.651601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dcbe3a3d-3b5a-46fa-b0fa-600ee6d9fdf8 · outbound

This paper cites BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack.

RULER: What's the Real Context Size of Your Long-Context Language Models? BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.655690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5b23d56-d3ca-4d81-a5b5-7ceea9d261ef · outbound

This paper cites Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?.

RULER: What's the Real Context Size of Your Long-Context Language Models? Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.663710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0edffe73-7ca3-4eec-a313-dde7174a971c · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

RULER: What's the Real Context Size of Your Long-Context Language Models? Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.495161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 707ac0af-f3af-48f0-a13a-6b7d55ca813e · outbound

This paper cites LooGLE: Can Long-Context Language Models Understand Long Contexts?.

RULER: What's the Real Context Size of Your Long-Context Language Models? LooGLE: Can Long-Context Language Models Understand Long Contexts?

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:20.499754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd3c681b-0144-4204-90a7-184b19b29814 · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

RULER: What's the Real Context Size of Your Long-Context Language Models? World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:36:57.375169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2488c650-e8c8-4725-8b5c-caff1577c3cd · outbound

This paper cites 13 Published as a conference paper at COLM 2024 Amirkeivan Mohtashami and Martin Jaggi.

RULER: What's the Real Context Size of Your Long-Context Language Models? 13 Published as a conference paper at COLM 2024 Amirkeivan Mohtashami and Martin Jaggi

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.698942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d9ede78-0dc0-46df-b4ed-3225792dced5 · outbound

This paper cites GPT-4 Technical Report.

RULER: What's the Real Context Size of Your Long-Context Language Models? GPT-4 Technical Report

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T03:55:20.508468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 546d3613-67ae-4eed-97a1-123e71a43bab · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

RULER: What's the Real Context Size of Your Long-Context Language Models? Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:55:20.512423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c9d5a88-949a-42fa-a0fe-212500069806 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

RULER: What's the Real Context Size of Your Long-Context Language Models? RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-11T03:55:20.516088Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a248afd9-12bf-4be3-bc54-9f7008611b69 · outbound

This paper cites ChapterBreak: A challenge dataset for long-range language models.

RULER: What's the Real Context Size of Your Long-Context Language Models? ChapterBreak: A challenge dataset for long-range language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.716256Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c109a87-4bd6-487b-9095-ad80b976613f · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

RULER: What's the Real Context Size of Your Long-Context Language Models? Retentive Network: A Successor to Transformer for Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:30:00.053340Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8ccd186c-3cdf-4958-a6c2-eabef6a6981b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

RULER: What's the Real Context Size of Your Long-Context Language Models? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T03:55:20.524488Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a0f1f828-c510-4779-8951-5e8e7ee35b41 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

RULER: What's the Real Context Size of Your Long-Context Language Models? HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:54:00.336000Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1708376e-0b7e-4515-9f58-d8f5c3b9e49a · outbound

This paper cites InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory.

RULER: What's the Real Context Size of Your Long-Context Language Models? InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.538903Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f4e2a7f-7752-4d46-91f3-146f71fb30ec · outbound

This paper cites Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack.

RULER: What's the Real Context Size of Your Long-Context Language Models? Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.543579Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 40989b32-6885-4a23-bb54-617693c80ad7 · outbound

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

RULER: What's the Real Context Size of Your Long-Context Language Models? Yi: Open Foundation Models by 01.AI

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:47:28.044136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c5a932c-fc4d-4da2-81cb-c18a3f84f4dd · outbound

This paper cites LV-Eval: A balanced long-context benchmark with 5 length levels up to 256K.

RULER: What's the Real Context Size of Your Long-Context Language Models? LV-Eval: A balanced long-context benchmark with 5 length levels up to 256K

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.554746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 149cf2aa-b89b-4781-9b9a-cdc56f990a96 · outbound

This paper cites Long Context Compression with Activation Beacon.

RULER: What's the Real Context Size of Your Long-Context Language Models? Long Context Compression with Activation Beacon

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.559332Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b7966c14-d3d8-4b0c-b65d-f5639509e98c · outbound

This paper cites Our results in the main text only include aligned models (GPT-4, Gemini-1.5, and 15 open-source models).

RULER: What's the Real Context Size of Your Long-Context Language Models? Our results in the main text only include aligned models (GPT-4, Gemini-1.5, and 15 open-source models)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.701841Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7af95bc5-357f-4648-a97b-a855b431db77 · outbound

This paper cites an unresolved cited work.

RULER: What's the Real Context Size of Your Long-Context Language Models? Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-11T03:55:20.707119Z

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Observation c3d07644-6102-4d83-9df8-148910427083 · outbound

This paper cites an unresolved cited work.

RULER: What's the Real Context Size of Your Long-Context Language Models? Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-05-11T03:55:20.710209Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 86d86d3c-0a84-4385-b1cc-4e79669557d4 · outbound

This paper cites an unresolved cited work.

RULER: What's the Real Context Size of Your Long-Context Language Models? Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-11T03:55:20.719024Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 317dd765-7c18-4b86-b603-596a19c13871 · outbound

This paper cites an unresolved cited work.

RULER: What's the Real Context Size of Your Long-Context Language Models? Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-05-11T03:55:20.721505Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bf811a66-a29e-48ce-9c52-0aa4e5937737 · outbound

This paper cites an unresolved cited work.

RULER: What's the Real Context Size of Your Long-Context Language Models? Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-05-11T03:55:20.723960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8553943-c0d3-492a-ab6d-81493d3d9f70 · outbound

This paper cites 17 Published as a conference paper at COLM 2024 B Task Configurations RULER is designed to be configurable to allow for diverse sequence lengths and task complexities.

RULER: What's the Real Context Size of Your Long-Context Language Models? 17 Published as a conference paper at COLM 2024 B Task Configurations RULER is designed to be configurable to allow for diverse sequence lengths and task complexities

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.728340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3aa36ccd-636c-417c-b688-4dfe37eeeb15 · outbound

This paper cites Additionally, we change the value type to UUID, for the purpose of testing model robustness at retrieving long strings from context.

RULER: What's the Real Context Size of Your Long-Context Language Models? Additionally, we change the value type to UUID, for the purpose of testing model robustness at retrieving long strings from context

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.670399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9413d04b-6e07-4aa3-b166-edfac9675f08 · outbound

This paper cites They are representative of single-hop and multi-hop question answering tasks respectively.

RULER: What's the Real Context Size of Your Long-Context Language Models? They are representative of single-hop and multi-hop question answering tasks respectively

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.684991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f11232e-24bd-40e0-9207-0325f8cc03b3 · outbound

This paper cites To prevent models from refusing to answer our questions, we append the input with an answer prefix to elicit model responses.

RULER: What's the Real Context Size of Your Long-Context Language Models? To prevent models from refusing to answer our questions, we append the input with an answer prefix to elicit model responses

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-11T03:55:20.688789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb23c32c-9443-4d48-8f44-ec6199c626d8 · outbound

This paper cites an unresolved cited work.

RULER: What's the Real Context Size of Your Long-Context Language Models? Unresolved cited work

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-05-11T03:55:20.695725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation f63d2815-1a60-4d50-b63e-0170ed0eca87 · inbound

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

An Empirical Study of Mamba-based Language Models RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T10:31:03.856868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ebba2fa9-a7f8-4386-8b23-c4a196d7a320 · inbound

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference cites this paper.

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-17T11:16:32.092177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 668d82fd-a21c-4c5d-a307-c768301643ee · inbound

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval cites this paper.

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-05-18T08:12:01.927648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27de3fbf-9b34-431d-8dde-ec5ef769926d · inbound

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation cites this paper.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.458385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21c60990-16dc-488a-9ba3-4d2bc792eb4b · inbound

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding cites this paper.

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T13:53:33.651706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b461d87f-1aa1-4763-93c5-6b42fd6895f0 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 145

Resolution: verified exact; local_arxiv, observed 2026-05-20T17:46:47.033367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9980a612-065d-4e78-8bb1-ddf8a96334c8 · inbound

Qwen2.5 Technical Report cites this paper.

Qwen2.5 Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:25:27.894293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f523472-7434-48e6-a85f-3f195607d5f5 · inbound

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

Qwen2.5-1M Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:26:00.078471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d13189d0-bdb4-464e-87d6-f339f55e6fb1 · inbound

FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration cites this paper.

FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:02:30.332370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e9bbe8dc-94b1-42ea-869f-70fe802fe765 · inbound

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:17:31.152439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 480461f8-4d6c-41ee-9ede-246cc628ea66 · inbound

Gemma 3 Technical Report cites this paper.

Gemma 3 Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-22T22:22:12.270624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3cebae00-ee04-4f0e-88c7-c73c4f6e159c · inbound

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

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1ccb3e3-005f-4567-bd79-499455a8460d · inbound

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free cites this paper.

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-12T09:04:34.881436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a77f06ac-0280-4426-aa3b-217160ca3878 · inbound

Qwen3 Technical Report cites this paper.

Qwen3 Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2657354-f4d5-4002-8bca-22559cd615eb · 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 RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:17:24.518478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 41703050-a6b6-41aa-88bd-db75ec200299 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T21:20:22.192101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 013ae64f-7454-4a2a-b689-fba98dda6e35 · inbound

Accelerating Prefilling via Decoding-time Contribution Sparsity cites this paper.

Accelerating Prefilling via Decoding-time Contribution Sparsity RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-19T03:06:59.967683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e4b150b-8abe-431f-a37a-beaac3f253e9 · 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 RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:26:28.840842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd06ca60-2ec1-4a76-b8b5-03085f6dc174 · inbound

Autoregressive Universal Video Segmentation Model cites this paper.

Autoregressive Universal Video Segmentation Model RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:52:16.476792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113b4b48-d119-47bf-9482-f955b04c9871 · inbound

SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval cites this paper.

SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:54:06.285905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c16903-29e1-4a49-8fd4-52048f6aacb2 · inbound

Adaptive KV-Cache Compression without Manually Setting Budget cites this paper.

Adaptive KV-Cache Compression without Manually Setting Budget RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:56.839861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ddadf61-75d8-46f2-ad82-405bed515bbc · inbound

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings cites this paper.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T06:00:51.040320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aa56bfe-9d3d-4cfb-8a1b-2fa388d93e0b · inbound

EvolKV: Evolutionary KV Cache Compression for LLM Inference cites this paper.

EvolKV: Evolutionary KV Cache Compression for LLM Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:28.828244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac8a79b-885f-47a5-ace7-1a73f776d90a · inbound

Evalet: Evaluating Large Language Models through Functional Fragmentation cites this paper.

Evalet: Evaluating Large Language Models through Functional Fragmentation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-18T17:01:40.093068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8585220-8e51-46a3-bbdf-55c27dba0d6f · inbound

OjaKV: Context-Aware Online Low-Rank KV Cache Compression cites this paper.

OjaKV: Context-Aware Online Low-Rank KV Cache Compression RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:26:24.719833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55eab44e-7608-433c-a0d8-d8160bcf5053 · inbound

StateX: Enhancing RNN Recall via Post-training State Expansion cites this paper.

StateX: Enhancing RNN Recall via Post-training State Expansion RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T12:31:22.107132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 82e3e3f2-318a-435e-b58f-751768b61645 · inbound

Short window attention enables long-term memorization cites this paper.

Short window attention enables long-term memorization RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:11:21.796529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c9bec84-57e7-4346-8947-ca318dca12ef · inbound

NeMo: Needle in a Montage for Video-Language Understanding cites this paper.

NeMo: Needle in a Montage for Video-Language Understanding RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:54:13.845691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25db6d29-6a16-42d8-9dc1-b86f2f681cb4 · inbound

vAttention: Verified Sparse Attention cites this paper.

vAttention: Verified Sparse Attention RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T11:21:07.118536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e24562f-9ff6-4b16-9c8f-fc0e680c0989 · inbound

OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference cites this paper.

OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 1992

Resolution: unresolved; no resolver link, observed 2026-08-04T10:57:43.388072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190281d5-16b3-459d-8cec-5c033b6daaa8 · inbound

CacheClip: Accelerating RAG with Effective KV Cache Reuse cites this paper.

CacheClip: Accelerating RAG with Effective KV Cache Reuse RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-22T12:41:33.655723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ec561f1-2992-4a75-a272-53ee333e7222 · inbound

Agentic Economic Modeling cites this paper.

Agentic Economic Modeling RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T07:30:52.144276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05c2644-f934-4eec-b8d7-0859061b6f1b · inbound

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:05:47.964443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 34e7ecfc-c416-4ea7-8b3f-9ba281284098 · inbound

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

Kimi Linear: An Expressive, Efficient Attention Architecture RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-13T23:49:11.144494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da807122-5697-45d5-94c1-9b4e7ba345df · inbound

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.493566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ad8e13b-fbb1-4987-90f5-f33cad7e6545 · inbound

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators cites this paper.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-18T02:00:39.322244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4fdf4524-0a13-45db-94ad-9cd088e66d7b · inbound

Controllably Efficient Language Models cites this paper.

Controllably Efficient Language Models RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:56.240171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc3d4ae-8d64-474f-a2d5-62b3ad5a8a11 · inbound

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training cites this paper.

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:30:29.416978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0e43665-fd16-461f-8426-ef43d8db4020 · inbound

BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections cites this paper.

BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:42:07.484193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 586b7447-037d-4410-ae37-d0aa79e7f97e · inbound

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence cites this paper.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.595005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7abe6fa-ffb4-48f7-b2dc-48e38dc2db97 · inbound

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression cites this paper.

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-21T18:00:27.124892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e80f517-d4d7-4aa7-9563-1caa98825594 · inbound

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match cites this paper.

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T05:09:03.785097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e592699-ad48-44c9-92e1-46968a28be95 · inbound

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding cites this paper.

BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:21:18.657950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e350d2d2-7d73-423a-8058-58e055774756 · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T15:22:49.949583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7cbcfa-5c15-4b22-af06-7796b5346517 · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 202

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:40:42.781438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c355692-44b3-4558-b8df-c6a037e35ac1 · inbound

Recursive Language Models cites this paper.

Recursive Language Models RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T19:33:19.984935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7a8829df-3419-4b10-b4bc-6949bc920734 · inbound

Hidden State Poisoning Attacks against Mamba-based Language Models cites this paper.

Hidden State Poisoning Attacks against Mamba-based Language Models RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T18:18:14.509469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db891dfb-12f3-469b-aa78-9454e26c06c4 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T12:42:28.451858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 550a78ea-6902-4395-bf8c-82606f2975e1 · inbound

HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench cites this paper.

HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:02:47.140148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 524975d7-045c-449e-9542-8a2a44f8763b · inbound

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning cites this paper.

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-21T15:20:17.597887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28f4c632-2495-4cef-a9fc-2f1e1c49b928 · inbound

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

Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T05:09:29.294674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376b31a7-d1b8-468f-9f3c-c15c698d5e30 · inbound

Prism: Spectral-Aware Block-Sparse Attention cites this paper.

Prism: Spectral-Aware Block-Sparse Attention RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T03:22:54.313489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 877b562b-e818-4d5c-8045-4b32ca21fefc · inbound

Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction cites this paper.

Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T03:17:42.006742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1793f0-fc94-4741-997c-34b6955abc14 · inbound

Learning to Evict from Key-Value Cache cites this paper.

Learning to Evict from Key-Value Cache RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T01:18:03.447847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a04a40a-b20f-4c24-ae41-2ac26b639f53 · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:00:17.869353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88e9fc9c-790f-45eb-8079-133997643db6 · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:50:09.424467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d318660-f24f-4ab8-80e7-a680480bbaa7 · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T22:05:43.012265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89fd13e-69d7-4f39-b041-93b294d71695 · inbound

S2O: Early Stopping for Sparse Attention via Online Permutation cites this paper.

S2O: Early Stopping for Sparse Attention via Online Permutation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:36:32.853929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a8d3b192-fc11-4a60-884c-65e38dd8b9c1 · inbound

Stacked from One: Multi-Scale Self-Injection for Context Window Extension cites this paper.

Stacked from One: Multi-Scale Self-Injection for Context Window Extension RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T17:00:10.300236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb11970c-984a-4db2-bd94-59f4edc4c7c7 · inbound

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

Stem: Rethinking Causal Information Flow in Sparse Attention RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T02:39:28.630801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c3acd9-fd98-442c-8f1d-a6f55a5449ae · inbound

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training cites this paper.

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T06:45:25.642297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 53b89b20-c1dc-4ce0-8e6d-093d3ce19c88 · inbound

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling cites this paper.

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T11:39:58.684563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c8f3c23-468a-49f3-b8f5-dbee84d94fe7 · inbound

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project cites this paper.

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:45:11.971173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f7445a9-5417-4c2d-baea-17a40fbeab63 · inbound

MemDLM: Memory-Enhanced DLM Training cites this paper.

MemDLM: Memory-Enhanced DLM Training RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:43:24.464770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 71bf7c3b-df27-4845-878e-f27ff9930d2a · inbound

EchoKV: Efficient KV Cache Compression via Similarity-Based Reconstruction cites this paper.

EchoKV: Efficient KV Cache Compression via Similarity-Based Reconstruction RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:09:36.996722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96fd8547-2574-451b-9bcc-c7beb301f32c · inbound

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens cites this paper.

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:00:10.041245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee7d8a08-9594-425a-81be-3c30b3bafeae · inbound

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration cites this paper.

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-02T18:36:57.917048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5044b67b-61d5-4d53-ac7a-f1f532a04fb4 · inbound

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency cites this paper.

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-13T19:28:09.862765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dcb588d2-0fb7-4d39-91c6-74a6b93d621d · inbound

AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments cites this paper.

AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a122f7ab-6eec-4977-a3d7-72840de7b830 · inbound

In-Place Test-Time Training cites this paper.

In-Place Test-Time Training RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 47fcde2c-8b3e-4daa-a878-f1e978c1e8be · inbound

StructKV: Preserving the Structural Skeleton for Scalable Long-Context Inference cites this paper.

StructKV: Preserving the Structural Skeleton for Scalable Long-Context Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e55b46c-36ad-4d78-bbcb-214993daef6a · inbound

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

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:25:58.336348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1913ff30-3594-4860-a0d7-408dad20b45a · inbound

An Agentic Evaluation Architecture for Historical Bias Detection in Educational Textbooks cites this paper.

An Agentic Evaluation Architecture for Historical Bias Detection in Educational Textbooks RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:16:08.800354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ac08603e-afbd-47b5-82ff-50e62885f05a · inbound

A Decomposition Perspective to Long-context Reasoning for LLMs cites this paper.

A Decomposition Perspective to Long-context Reasoning for LLMs RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T05:30:59.910617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4843e0e7-8754-41b6-9fd6-979446ab10e2 · inbound

LLMs for Text-Based Exploration and Navigation Under Partial Observability cites this paper.

LLMs for Text-Based Exploration and Navigation Under Partial Observability RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-15T14:10:03.241583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0866204-99f7-4903-8693-3fea8f0dde9d · inbound

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs cites this paper.

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:51:01.262659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b03745c2-44dc-4a71-9d57-28b9cc224403 · inbound

Latent-Condensed Transformer for Efficient Long Context Modeling cites this paper.

Latent-Condensed Transformer for Efficient Long Context Modeling RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T11:01:18.525152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c522065-4907-43d8-8f0f-618a80b35959 · inbound

LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning cites this paper.

LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1dd097fd-afd3-47d9-a0b4-cce1b70b0faa · inbound

Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM Serving cites this paper.

Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM Serving RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 627f991a-e373-42c7-abd8-65b46e9d2184 · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21bdfb0c-0a2a-4d04-88a1-c5fc96f4dc7e · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:09.034012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a60d32d-20ae-42bd-9626-fdfbb2b83b5c · inbound

Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks cites this paper.

Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-13T17:38:02.858411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7fcde247-6323-4813-b27f-f683c2a931a5 · inbound

OPSDL: On-Policy Self-Distillation for Long-Context Language Models cites this paper.

OPSDL: On-Policy Self-Distillation for Long-Context Language Models RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bef82562-8fb8-4d06-8a3d-1e2707279f21 · inbound

Efficient Mixture-of-Experts LLM Inference with Apple Silicon NPUs cites this paper.

Efficient Mixture-of-Experts LLM Inference with Apple Silicon NPUs RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3b303e5e-d194-4906-a476-032d21c63f00 · inbound

FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control cites this paper.

FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:01:23.288038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2be0bae8-abfc-478d-827e-680695ee103a · inbound

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences cites this paper.

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3748fe0d-a1a4-46e4-8292-80c92f94991f · inbound

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences cites this paper.

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8055a87f-e8df-4c47-96c0-0d359630a900 · inbound

PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training cites this paper.

PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 135

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T14:31:06.166463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5039a83-775f-4172-897d-957dbea5187e · inbound

SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference cites this paper.

SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-11T19:21:06.767351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e04db42f-7aba-419c-ae77-8850bf5538bd · inbound

Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling cites this paper.

Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-11T22:01:10.827615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c9c5bd04-e8ad-4ecb-8b64-d02873354c3e · inbound

XekRung Technical Report cites this paper.

XekRung Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 42

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T14:51:14.611980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 457c3131-b36a-4a3f-83e2-a81d85059300 · inbound

Caracal: Causal Architecture via Spectral Mixing cites this paper.

Caracal: Causal Architecture via Spectral Mixing RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 109

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T15:31:21.922011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3375531b-8e80-43f6-bfa5-48a806673c46 · inbound

Token Arena: A Continuous Benchmark Unifying Energy and Cognition in AI Inference cites this paper.

Token Arena: A Continuous Benchmark Unifying Energy and Cognition in AI Inference RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:21:07.368057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4895ebfb-043d-460a-8f75-fd71fb5297c4 · inbound

Budget-Aware Routing for Long Clinical Text cites this paper.

Budget-Aware Routing for Long Clinical Text RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:26:10.210440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 416dbbb6-26fa-46f4-a2d3-064d3ed7371b · inbound

Retrieval and Multi-Hop Reasoning in 1M-Token Context Windows: Evaluating LLMs on Classical Chinese Text cites this paper.

Retrieval and Multi-Hop Reasoning in 1M-Token Context Windows: Evaluating LLMs on Classical Chinese Text RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-11T16:26:09.833550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb63fe8c-5805-4bb9-bb99-82320b417abd · inbound

Submodular Benchmark Selection cites this paper.

Submodular Benchmark Selection RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18d84944-c4db-43eb-b9fe-89ca4e28493b · inbound

StreamIndex: Memory-Bounded Compressed Sparse Attention via Streaming Top-k cites this paper.

StreamIndex: Memory-Bounded Compressed Sparse Attention via Streaming Top-k RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d29a5fe4-6636-4863-b7e5-89e512a7d16b · inbound

HUGO-CS: A Hybrid-Labeled, Uncertainty-Aware, General-Purpose, Observational Dataset for Cold Spray cites this paper.

HUGO-CS: A Hybrid-Labeled, Uncertainty-Aware, General-Purpose, Observational Dataset for Cold Spray RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6abee6b9-d273-40b6-8280-62053a133272 · inbound

SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States cites this paper.

SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T17:41:06.832357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 36da2f7c-0c4e-46fd-96cf-689704528220 · inbound

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T16:41:11.056112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.