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Paper Citation Record · LEDGER

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 68 inbound Pith citation observations for arXiv:2310.06839.

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

pith.paper-citation-record.v1
2310.06839 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 68 of 68 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:00:34.332928Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.274003Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a1fc029f-6504-46db-88e0-27105ea34f42 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 101

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verified exact
arxiv_id, observed 2026-05-24T05:13:56.753043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:719d841389e447217d7296ab7e2c26fcf8105d3c4c8640a3fc298141c3018c5e

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

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

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

Reference 20

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:c784ef87601fa1dd7e4beb6118e47118a597eb26592c717016a40bf7535eb2b3

Observation 30efb0cb-0bbe-4ce5-82e8-65bfd11a954f · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 43

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arxiv_id, observed 2026-05-15T02:39:33.300437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:cbbcaad509cf024b23140286b8b12a6f3491e84a45a9b1705d449d72b7725068

Observation dd5750f0-121a-468b-a66d-043396efb7bc · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 10

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verified exact
arxiv_id, observed 2026-05-23T21:08:26.020672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-23T21:06:59.776841Z digest=sha256:a0400d3fc456230977ba352ee8114f56d86cca900ad6b20260a4235562fa0db4

Observation d797e297-781b-46e5-b9c0-620dbff3f488 · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 26

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verified exact
arxiv_id, observed 2026-05-23T20:38:25.007623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-23T20:36:55.159302Z digest=sha256:5fbc3b4f03cc6a5852b4847cf4af8bc2305d82bc2a2a7e660aeb2b11d90347f8

Observation 3b9c502a-5f8a-4e94-9c22-a18d932344a4 · inbound

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks cites this paper.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 21

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no resolver link, observed 2026-08-12T05:21:55.085505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.085505Z digest=sha256:a87d9172f6d8d045b901bc90abd61f24d4f3ab0002a0c5bb37bde5cb9f303845

Observation de629cd3-34b3-4140-8d42-2bb9659b9400 · inbound

Inference Scaling for Bridging Retrieval and Augmented Generation cites this paper.

Inference Scaling for Bridging Retrieval and Augmented Generation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 10

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no resolver link, observed 2026-08-11T15:48:27.630421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:48:27.630421Z digest=sha256:bc46c76a877817e0a3938b87f4464c0a038138efc8e0fb532a874bef884e5759

Observation 46315ffe-4299-428b-b020-9c10002ef0bc · inbound

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness cites this paper.

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 19

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no resolver link, observed 2026-08-11T14:47:03.896142Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:47:03.896142Z digest=sha256:90c0eeb7979ac298cdeac51ee059038a747f9d2eda6ad41abf01aae41de95083

Observation f3c5c6c8-60e3-42e6-9fa8-8f38d566e825 · inbound

Deploying Foundation Model Powered Agent Services: A Survey cites this paper.

Deploying Foundation Model Powered Agent Services: A Survey LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 251

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no resolver link, observed 2026-08-11T13:09:47.135359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:09:47.135359Z digest=sha256:97e1d21fd96746796d155448e97f70a70dc04fa99109a147242078f91b9040bc

Observation 0869a9a5-e396-47fc-98ed-faeaa36fe2e2 · inbound

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning cites this paper.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 2022

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no resolver link, observed 2026-08-11T13:00:31.115280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:00:31.115280Z digest=sha256:029c57fcaf7898abd13afae79403704fb1b14cb0d9136888a3e51fc81dff9e6b

Observation 8c6317b8-1cfc-43ab-a62d-8aa7d7bbacb1 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 24

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verified exact
arxiv_id, observed 2026-05-13T17:36:27.711781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:32957c9649064743f983f74420dee2573b38a6eb2334bc84b9821c7eef7559a2

Observation db4ef28e-a6da-47eb-bedf-d70136663d35 · inbound

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding cites this paper.

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 13

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no resolver link, observed 2026-08-10T20:35:59.329456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:35:59.329456Z digest=sha256:a6f26be225aa38dd0579e1673fcca37a0c4f3e4a2b6e856f181d12a67f492436

Observation 8c37eef2-6912-4dfc-88d8-cd1764975648 · inbound

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation cites this paper.

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 31

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no resolver link, observed 2026-08-10T18:13:08.541713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:13:08.541713Z digest=sha256:684d765a31e286e3aed4e38f7f4482fd056739e1cfef72066c5fd2994d15418b

Observation bbdc567f-27c9-4226-b56f-f462f4beebc6 · inbound

Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference cites this paper.

Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 20

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no resolver link, observed 2026-08-10T16:40:36.676050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:40:36.676050Z digest=sha256:9bccaa9a038713e1bea23cd9521304a4444863004e00b452349ec23d6c3fb6ab

Observation e98294fb-c605-48be-9e27-8efe5c153e0c · inbound

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation cites this paper.

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 23

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unresolved
no resolver link, observed 2026-08-09T11:11:17.694065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:11:17.694065Z digest=sha256:404bd0e6488097e61909ab6c55162f566b50c346c600c9c56bc32ab23b22d49b

Observation cd8001e9-60d6-48e8-bbda-b1efaf1b8708 · inbound

On Memory Construction and Retrieval for Personalized Conversational Agents cites this paper.

On Memory Construction and Retrieval for Personalized Conversational Agents LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 15

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no resolver link, observed 2026-08-08T18:46:28.039595Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:46:28.039595Z digest=sha256:ff4bc34a8d311cafea857011713505eb0a5701aa50b16a321a080a2af58d55da

Observation 1e93f251-96b2-4abf-9418-f3f209d32b6a · inbound

LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning cites this paper.

LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:42:25.777711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T02:42:19.684576Z digest=sha256:5a6e31777b836615e025c760e1a1d71815d934b62da65b7a7ad56b233c9f3aec

Observation 1142fa00-59ce-4d69-a3f1-fb6ecb36a9ca · inbound

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs cites this paper.

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 5

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arxiv_id, observed 2026-05-23T02:02:23.047471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T01:59:18.546405Z digest=sha256:44ee120431977b9fd9e9fd80f28a74a5dac87b6dccf9641400513f560e532f7f

Observation 7fdf308f-a1cc-4af2-b188-31973adbfa8e · inbound

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation cites this paper.

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 39

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no resolver link, observed 2026-08-09T05:40:21.495570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:40:21.495570Z digest=sha256:c3a41b2c1c19a3ec0dd767e718a7c25ecdfb96c2a0f3c2a7b30705e30914164e

Observation f0487a7f-03b1-40b0-8201-8ef50f6ec4fe · inbound

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning cites this paper.

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 26

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verified exact
arxiv_id, observed 2026-05-13T18:37:17.748246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T18:37:17.725984Z digest=sha256:c0d9e8f9e691c50281a916bedc1ae99c47556b204432db175b1e867953e58993

Observation fb1df4bc-5fd6-47c1-9bbb-0fdf51c42bb1 · inbound

Direct Advantage Regression: Aligning LLMs with Online AI Reward cites this paper.

Direct Advantage Regression: Aligning LLMs with Online AI Reward LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 19

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no resolver link, observed 2026-08-16T12:00:34.332928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:00:34.332928Z digest=sha256:4d6b35bc6c347e4dae3274eabebf9b0e1b9eb86281c53dc941f5a2f995632f64

Observation 51ce3ce1-a4d1-4c9a-862b-675ac9db18e4 · inbound

PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression cites this paper.

PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

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no resolver link, observed 2026-08-16T11:05:54.127012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:05:54.127012Z digest=sha256:ea3e8b37b84020331b83ef796891a367349f8a5c72bbce7e66b2b187ee14c1f7

Observation 5b9b5b32-f97a-4ba4-9a41-fa38970a2f59 · inbound

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation cites this paper.

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 19

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no resolver link, observed 2026-08-15T21:15:57.926700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:15:57.926700Z digest=sha256:1b1fab6da84561a143a667ec85e491b10024a4038d94d9263c03d04fe30d04d2

Observation 7fc3b256-d5a7-4834-9354-f3de788b3547 · inbound

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models cites this paper.

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 12

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no resolver link, observed 2026-08-15T20:58:48.117812Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:48.117812Z digest=sha256:880c553d083f7db12f944d23feb9815892b3728d8bd993c7dc6c8fb46e585d0d

Observation fdac2e3d-062f-42a8-8cbe-bebe2f1782c6 · inbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

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no resolver link, observed 2026-08-07T14:52:13.369764Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:13.369764Z digest=sha256:8b7406bcc71a6c0be9017ca46893026cc7ce871e275b9f348812ef317fec6318

Observation 3a378eef-d312-4a69-9973-f76984819f94 · inbound

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning cites this paper.

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 49

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no resolver link, observed 2026-08-07T14:52:57.064045Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:57.064045Z digest=sha256:5699b91749563985e569dc15749de58acbb6e9a87f1ebfd0263537462fff2f21

Observation 9b8d018d-45da-4650-b717-5cd7b522cc26 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 190

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no resolver link, observed 2026-08-07T14:33:13.216070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.216070Z digest=sha256:d5be851cc45fd0a1a204bb994a8446fd921c2221633cf54b90d2e9949a3f2cd2

Observation 845c94eb-5dac-41e9-a23e-553281c6f0d1 · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 19

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no resolver link, observed 2026-08-07T14:20:25.095761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:20:25.095761Z digest=sha256:6d533392d2a1e87555f8ae53f1d1d10c748cdfb8e1e776a8036ee60342e0cc6c

Observation 37a1b964-33fd-489f-bf2a-48a75e2788a7 · inbound

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach cites this paper.

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 14

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no resolver link, observed 2026-08-07T14:18:34.046108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:18:34.046108Z digest=sha256:4f177a0725fd0c2c07f5fba78afc853709482725670ceacaa198a5a1f6238ec9

Observation e04842d1-f9f4-42cc-a4fc-9731001c7f75 · inbound

Lossless Token Sequence Compression via Meta-Tokens cites this paper.

Lossless Token Sequence Compression via Meta-Tokens LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 10

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no resolver link, observed 2026-08-07T12:14:26.649414Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:14:26.649414Z digest=sha256:828eef50db25ee22ae9139fd417318f99f181140eb60b59b6b5777d1b21fcbae

Observation a5fe18b3-05d5-41b0-8f01-656d4524be81 · inbound

Brevity is the soul of sustainability: Characterizing LLM response lengths cites this paper.

Brevity is the soul of sustainability: Characterizing LLM response lengths LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

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no resolver link, observed 2026-08-07T05:09:09.741747Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:09.741747Z digest=sha256:9e40d8c556e21310da8043385a9e02e78c277a4030ad5e58f48301eb9443c0e6

Observation bea581d1-6cb9-4657-8c1f-79fa57315e5a · inbound

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions cites this paper.

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 69

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no resolver link, observed 2026-08-07T05:42:31.008622Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:31.008622Z digest=sha256:59728e83b1547998a663c699a8e0df50c1250e31ebd9f59a5f92ab7653282298

Observation ec318322-ebed-44a4-907e-d507091f5694 · inbound

Orchestration for Domain-specific Edge-Cloud Language Models cites this paper.

Orchestration for Domain-specific Edge-Cloud Language Models LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 19

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no resolver link, observed 2026-08-06T18:10:14.339682Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:14.339682Z digest=sha256:497754671181c3552309e5add4f632997fd1a9eb362937905d81ae8f740948b2

Observation 6d04ca9a-6935-4927-9847-9aacca9f7288 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T18:08:32.071357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:32.071357Z digest=sha256:ba0e9b69e8a91837ce19c6112a0231435fd98c1d656a47b8430f34baa14a0723

Observation 103a8f31-f591-485a-aec0-ae4aee8bb16d · inbound

VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL cites this paper.

VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:01.510833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:01.510833Z digest=sha256:4ebbaa1e14ee4949c8fbb7f1aba1b4b6819eaf1e941eb9c6654610faefb3b279

Observation 2dd9442a-6cee-4bf9-9bc0-feb3cc837749 · inbound

Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs cites this paper.

Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:40:29.122411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T07:37:38.901354Z digest=sha256:c6f872ef26ea62b67e74a92e3da09c9d42edbb2d349d1d1cf0790b03ff2d10da

Observation 746e3f41-ee3d-4bde-8d1b-5fcbf1ce73b3 · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.645572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.645572Z digest=sha256:128fe94214bc8bd22a3531e0e0268b9efa3340c96b05679293002e01eb66880c

Observation 635c49b0-fa4e-424c-8786-797160e3e1fb · inbound

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation cites this paper.

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T04:42:13.732988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:42:13.732988Z digest=sha256:00ccd9028ef9600e7e268d38a31196088cde970ee017889f664f84cd72409b10

Observation 22544567-450a-40b2-898b-ce14e6e5183c · inbound

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? cites this paper.

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T23:49:31.086098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:49:31.086098Z digest=sha256:8248b25887bec030dc21852485b1a1b926080865836b926202f7215e315ac7ca

Observation ec7bee7e-5f37-4a56-8b92-fe05f82fe6e6 · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T08:06:11.131664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:06:11.131664Z digest=sha256:56c504ad8df99e91c889d066263c36b3f7aef13b9f9af28e52a2e5e3570f177b

Observation 491230de-b554-4e85-b181-5dc39ed9382d · inbound

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data cites this paper.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:50.071188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:50.071188Z digest=sha256:56f1f7091ab1ae1792f7a0621e847cbe61d25f4938f96f5f6ea2e7f64a4f844c

Observation 793091e3-f4a4-4486-958c-e99db775c50a · inbound

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method cites this paper.

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T10:43:42.213023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:43:42.213023Z digest=sha256:1ccbfba24114a45d3149ac80a87cd2122cee7cab06c6d16290dce580c9de7679

Observation 9ea5c4c5-4fcb-499a-83a0-8612069c937e · inbound

Cooperative Memory Paging with Keyword Bookmarks for Long-Horizon LLM Conversations cites this paper.

Cooperative Memory Paging with Keyword Bookmarks for Long-Horizon LLM Conversations LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:06:02.325865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T15:39:51.540615Z digest=sha256:6b8a683328550f31e9c25218501522333e6a9418315ac3f496aeff5517149ac4

Observation 86499f5e-2b75-4be5-91d7-c86a47724d66 · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:40:27.540003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T13:00:56.512868Z digest=sha256:e8589946cda4cde35de476b3957b60bf556ab2c96dabf95ece3deb19c14a1ec5

Observation ce22cccc-f19c-4187-bb3c-4e09678af25a · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:55:10.714002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:52:18.563146Z digest=sha256:239adfa4ed69802228a14985919458afbed077a878b140ff02197d33cd5c7482

Observation 5d14293c-bda7-4af6-99fe-63952ad37811 · inbound

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

Supplement Generation Training for Enhancing Agentic Task Performance LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:59:49.522824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T00:58:27.655909Z digest=sha256:fc48f6ef603cf0bb940b2995a7a6bf652ce164c15daa5894e9ca908a96aaf712

Observation ba025754-3468-425e-ab8e-fa316e4be83c · inbound

TSCG: Deterministic Tool-Schema Compilation for Agentic LLM Deployments cites this paper.

TSCG: Deterministic Tool-Schema Compilation for Agentic LLM Deployments LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:21:07.273966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T17:42:23.586416Z digest=sha256:1211d7e28ada87dd74cf46773a61942574c10ba6ed48755f75527460179c880f

Observation ad2dea6f-824d-4dec-a7ab-1dd93a73e4d4 · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.180932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:18:11.836537Z digest=sha256:c9453b56123a13fd6e72d294b9e83299ddf65342e893a7e71c19eee674821d16

Observation 452769f2-3edf-48e7-9213-4a9affba6b6a · inbound

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors cites this paper.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:54:45.678257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:0385f6f7767d7452ac79b084fe192aa925152ef60db83623ae7579389c7f46ee

Observation ab32e362-3f2b-4660-961f-bc088c8b4da6 · inbound

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

Tool-Schema Compression Enables Agentic RAG Under Constrained Context Budgets LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:24:01.264140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-29T23:23:49.298204Z digest=sha256:e153048dbf5af1d024080a090fd6aabdec7f6b81c9c2c0a01a99a58f6463ef33

Observation c00d82bd-bc4d-4572-9663-fd19b145a6d6 · inbound

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer? cites this paper.

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer? LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:23:45.102102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T17:16:48.588593Z digest=sha256:1b3a4483b7bdcf3288c159243e6ed908b89e8fb58683dec59fe344dc61a88029

Observation cb59840b-eb76-4e6d-88ba-1a96b4350e4f · inbound

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management cites this paper.

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:59.143511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T01:35:01.565343Z digest=sha256:395d31d45099e53582c8771a31787e84d7a2f343efa852c0fefc856d8f6aa322

Observation cf1090bf-29c9-4e0f-87f7-194b90ea5f54 · inbound

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management cites this paper.

TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T15:01:23.012119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:01:23.012119Z digest=sha256:cfbf05cdb91520734c43e35800a6a400263a142ea2ec67ebdb87db1b689c09b5

Observation 12108ca1-2d4f-49fd-8dc7-504d7526a88e · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:17:25.263363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T19:47:08.844690Z digest=sha256:72b3a4fc12ca3ac279c1f77e325a27671e0bd6905e397846ba590936452c7308

Observation b225b83f-d0ed-4036-875d-d030a6ceee49 · inbound

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

Token-Operations-Oriented Inference Optimization Techniques for Large Models LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.745546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:082479f48dfa6efaf0e6da42119b5eaac3cab7e346367baeb5d52c32d08bf269

Observation da05431b-c54b-40b5-8203-0bd5d08e42df · inbound

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

Token-Operations-Oriented Inference Optimization Techniques for Large Models LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 119

Resolution
unresolved
no resolver link, observed 2026-08-02T10:49:13.380418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:49:13.380418Z digest=sha256:25cf1e79c4d9729ddc70daa3b534c10aac3e3ee572ef6090c37407f62d6bbf90

Observation 4b46fd28-cff2-4122-8394-df2d42c701fa · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T01:49:21.518943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-04T01:45:36.335508Z digest=sha256:f3e9cc11a12eb5351cbe9f704195c87906b3eec860b6d84ee2204246ea682bcc

Observation 2aa56711-e4d4-46a5-8abe-be2e62d0cd56 · inbound

CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents cites this paper.

CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-07T14:03:48.697410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T13:57:33.821970Z digest=sha256:2931955429d643dbe8a48e15a2d5866e840f490ddf7d523d42a2f6c1248b3474

Observation d4a30b80-b2b9-48e6-962c-0d0c9b07d2b2 · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-10T01:36:44.275132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-10T01:26:59.421158Z digest=sha256:08eabed2ed4b88a8651e24c546ea6e6c5137613591a8f3e987d792690e3b958a

Observation 1dd5d981-6f30-4e5a-9d79-883b01b74409 · inbound

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

Mach-Mind-4-Flash Technical Report LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 29

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:29:34.486347Z digest=sha256:7f24dd4d6cb2ef6a1e11349f373c0da17195f5b7d8ea45d4bd7f77b3f751dd74

Observation 455df561-6de0-41d5-8553-203ee674580a · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-01T23:46:24.735255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:46:24.735255Z digest=sha256:eba35a342f40d7e4e8550d2aa778ba55ae88d7ccc19e0b2323588f3ad8d0347d

Observation 46dea7f4-22b0-4d06-a52d-df2dee069eef · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T23:14:54.779144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:14:54.779144Z digest=sha256:f3b9c7cd64bfe9221a7faf6f426a7742b37ed76e471ac7a501e44a5feb0e9c11

Observation 344c2ae5-8d46-4c86-9493-7eee9f163d32 · 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 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T11:37:07.874404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:37:07.874404Z digest=sha256:fa3d1c9fb010956cc0f6d98b1f6ac8e20909014bf1cd1dfba13d0b2231be2b04

Observation 1614cfa6-c887-49a8-9add-61c368c24f1a · inbound

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment cites this paper.

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-01T07:12:17.634493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:12:17.634493Z digest=sha256:52730b6f147600d604ae1ffa446f64ebce8cb32fad714274e2e3b216a05eca6a

Observation 5d4a1d03-f9e2-47a7-8a75-925617dc56fb · inbound

MemOPD: On-Policy Distillation through Memory State Alignment for Long-Horizon Agents cites this paper.

MemOPD: On-Policy Distillation through Memory State Alignment for Long-Horizon Agents LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T15:27:03.125713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:27:03.125713Z digest=sha256:e1cedf0c26cbde17a5efbf7762e094f53428a2e6fb1b80ef4e0ce3177f09c1bd

Observation fb3c522f-7307-402c-942b-985e3753e01b · inbound

Long SKILL Compliance as Logical Reasoning: Closure-Grounded Detection with Scaling-Guided On-Policy Distillation cites this paper.

Long SKILL Compliance as Logical Reasoning: Closure-Grounded Detection with Scaling-Guided On-Policy Distillation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T00:25:00.896173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:25:00.896173Z digest=sha256:96f1e9cd37419463b73a80ec165e2c85eee6b9c47049b511327608bdfd67ce8f

Observation af0e542b-0bd2-4fb6-8cdd-41a064c1496b · inbound

Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents cites this paper.

Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T04:40:55.169022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:40:55.169022Z digest=sha256:1ec7807aeb7e64c2f98ce5a0c24062df97376e77e173800d718f867c6c4ddde9

Observation 0f5b10fc-31cc-4096-91c9-c77c77e64052 · inbound

Total Recall at What Cost? Benchmarking the Serving Cost of Agentic Memory Systems cites this paper.

Total Recall at What Cost? Benchmarking the Serving Cost of Agentic Memory Systems LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:45.548241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:45.548241Z digest=sha256:3e92472f9df02d28cceb4aba3a53f33911338f97db52317ae751b11ff93bd1dc