LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models | Paper Citation Record

Observation f72dd5e3-3850-44c9-8af0-63c3c00b9f94 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.647448Z

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Observation bec1097a-429a-4dc0-bea3-2c1bb52f6112 · inbound

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models cites this paper.

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:26.041444Z

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

Observation 038d4429-156d-4e4e-89ce-8cdbf1905052 · inbound

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning cites this paper.

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:38:24.967159Z

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

Observation 6afb25e3-bfd5-40c4-a724-80806a27129d · inbound

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations cites this paper.

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:47:40.400393Z

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

Observation e48c0a43-7e26-48da-9d2d-4c97cf3dd3fa · inbound

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention cites this paper.

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T23:46:30.078718Z

Source-reported events for the cited work

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Observation ea12e6e0-b53f-4cc3-a8ce-11b12b42f102 · 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 LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:17:24.592535Z

Source-reported events for the cited work

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Observation 9c490a55-a641-41ed-979e-524003d7b96a · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T12:52:01.641529Z

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Observation cc7a1180-8b1d-4f7c-8378-d88f4f88a128 · inbound

How can we assess human-agent interactions? Case studies in software agent design cites this paper.

How can we assess human-agent interactions? Case studies in software agent design LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:37.392346Z

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Observation 9fd21ffa-571e-4863-abbb-a76960a04134 · inbound

ARC-Encoder: learning compressed text representations for large language models cites this paper.

ARC-Encoder: learning compressed text representations for large language models LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:49.536406Z

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Observation 32c3b362-8b83-428a-a01d-689ab3ba003b · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:11.078142Z

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Observation 1840f4d0-04f9-4b48-9270-0fabf218d965 · inbound

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:44:11.449562Z

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 33b6f1fa-13fa-4b47-9045-1a7d96d29872 · inbound

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.

Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:23.076743Z

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Observation 24041952-da97-4dc5-9b99-fdc3f1637114 · inbound

Learning to Configure Agentic AI Systems cites this paper.

Learning to Configure Agentic AI Systems LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T13:10:10.359193Z

Source-reported events for the cited work

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Observation 10c5e7c7-b318-48a3-8ac3-99ae685b5df0 · inbound

Learning to Configure Agentic AI Systems cites this paper.

Learning to Configure Agentic AI Systems LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T11:31:29.533983Z

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 b67fc6f0-ae67-4b8b-80ce-9d7915ae65f8 · inbound

LLM-assisted Agentic Edge Intelligence Framework cites this paper.

LLM-assisted Agentic Edge Intelligence Framework LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:00:03.440252Z

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 f698696a-d1b7-4447-b945-3c592ab986b2 · inbound

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation cites this paper.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.553422Z

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Observation 3dc12810-508d-4da3-ab4e-f63eee353003 · inbound

Compressed-Sensing-Guided, Inference-Aware Structured Reduction for Large Language Models cites this paper.

Compressed-Sensing-Guided, Inference-Aware Structured Reduction for Large Language Models LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.698328Z

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Observation d77242a0-5e09-4624-adee-921596b1bbc4 · inbound

ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization cites this paper.

ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.788133Z

Source-reported events for the cited work

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Observation ff9c3f20-8131-48f6-a877-a1e59cafc4cf · inbound

Supplement Generation Training for Enhancing Agentic Task Performance cites this paper.

Supplement Generation Training for Enhancing Agentic Task Performance LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:59:49.528114Z

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 075c5251-e277-4d6d-aeec-c40261aeb228 · inbound

SparKV: Overhead-Aware KV Cache Loading for Efficient On-Device LLM Inference cites this paper.

SparKV: Overhead-Aware KV Cache Loading for Efficient On-Device LLM Inference LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:07.779041Z

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 a234ca39-dfe8-4eb4-b367-d6070dd1cf0f · inbound

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory cites this paper.

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:25.537117Z

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 3726b935-c200-4b81-b842-0f3460351fb0 · inbound

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

Budget-Aware Routing for Long Clinical Text LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:10.192361Z

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 adc10e6b-b90c-4c19-b7d5-189f57fa8d6b · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:19.749858Z

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 c2fec4e9-8772-4d5f-9473-5a56d9782452 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:19:16.570350Z

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 570d6085-1061-43d9-ba01-bf90ae8330e2 · inbound

Byte-Exact Deduplication in Retrieval-Augmented Generation: A Three-Regime Empirical Analysis Across Public Benchmarks cites this paper.

Byte-Exact Deduplication in Retrieval-Augmented Generation: A Three-Regime Empirical Analysis Across Public Benchmarks LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:24.196333Z

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 0ce26496-205a-4f76-9f79-39760693bd75 · 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 LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.513036Z

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 7f1a60ae-bca1-40cc-b45f-89d97c3143b8 · inbound

Tool-Schema Compression Enables Agentic RAG Under Constrained Context Budgets cites this paper.

Tool-Schema Compression Enables Agentic RAG Under Constrained Context Budgets LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:24:01.270362Z

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 94c48765-afd0-491c-8695-d7eb7ac9dc0e · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.695917Z

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 53d80952-6f94-4501-b0fa-8058eeabff75 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddddc700-5c17-4948-8aa4-b4d4e80ec9e8 · inbound

QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving cites this paper.

QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.478212Z

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 2736a578-a94a-418a-9eeb-13cec35d42d4 · inbound

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents cites this paper.

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:25.260446Z

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 ca86e023-c913-4143-8476-247483c077a5 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:17:31.616571Z

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 38dda257-2d76-4c89-a68f-c7290b5a80a0 · inbound

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents cites this paper.

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.619433Z

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 4555f900-c28b-4ff1-b6fd-9311a2aa28a7 · inbound

StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns cites this paper.

StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:19:23.905129Z

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 e1434e72-7500-43ac-98d2-1752019b4273 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.936832Z

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 a3c17276-531a-447f-b190-2fb8246f4ece · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-02T10:49:13.256103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e93a9e-23a9-4284-a100-c4a53829084e · inbound

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning cites this paper.

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:34:37.884491Z

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 4404e395-a8a2-428c-8e87-7a2eed6babba · inbound

Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning cites this paper.

Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:49:21.550972Z

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 b4d2f544-20d4-495b-ae9b-7a7cbd752945 · inbound

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair cites this paper.

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:18:22.569952Z

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 d4c13e6d-a18b-4ed4-bcea-7c1ee9e55a06 · inbound

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair cites this paper.

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T08:32:14.868469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 051587d5-d924-4796-a7b1-950773355e3a · inbound

Compression, structure, and executor capability: a controlled real-cost decomposition of language-model agent skill optimisation cites this paper.

Compression, structure, and executor capability: a controlled real-cost decomposition of language-model agent skill optimisation LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T05:14:41.315225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bd2724-36b3-4170-98b8-ba9ce4697d40 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.323273Z

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 410403c7-29ae-4e64-a6a4-897774022f78 · inbound

Mach-Mind-4-Flash Technical Report cites this paper.

Mach-Mind-4-Flash Technical Report LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T03:29:34.486347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5f3d21-5cf8-4a9d-800c-d8a8c972387b · inbound

What Context Does a Coding Agent Actually Need to Act? cites this paper.

What Context Does a Coding Agent Actually Need to Act? LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T17:40:33.397259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd748da0-4d6e-40ff-9f9d-b36300ca1cc9 · inbound

Cache-Aware Prompt Compression:A Two-Tier Cost Model for LLM API Caching cites this paper.

Cache-Aware Prompt Compression:A Two-Tier Cost Model for LLM API Caching LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T23:14:54.635607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a17e1cd-b03b-4492-a933-1c39358fb63b · inbound

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning cites this paper.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T14:32:14.315923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27cbc51-3fc1-4a48-905d-fe59b0e9ded6 · inbound

Hierarchical Domain Generalization cites this paper.

Hierarchical Domain Generalization LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T20:54:09.109669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0406970-d688-4c57-a030-8dbe36cf166a · inbound

Spectral-LSH: Sub-Quadratic Prompt Compression via Krylov-Projected Locality-Sensitive Hashing cites this paper.

Spectral-LSH: Sub-Quadratic Prompt Compression via Krylov-Projected Locality-Sensitive Hashing LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T11:37:06.990703Z

Source-reported events for the cited work

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