Pith. sign in

Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 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 38 of 38 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 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:52:01.645572Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

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

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:4443b2c4ca4e46bb650319facc4a8a09eb498a88577aeee72f3bcd780d9c2a8a

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

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.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:d80e673fe79c68c90b02562db89fef3dbbf2b650aae4f4e38b32fb5836c63078

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

Resolution
verified exact
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:b131809b5b598024deefd59cdc86689f9708cd94e0099b121bf0e7fa0933b20e

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

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

source=arxiv_source observed=2026-05-23T21:06:59.776841Z digest=sha256:0b8393997873cd4ea4989225d3fe98eb7d576aedc4c73f3256016fe1bcf25647

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

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

source=arxiv_source observed=2026-05-23T20:36:55.159302Z digest=sha256:681210d181a6b8b36ebe5ed4d6f36ab8b6546d5cf31ecc3818017c59c0030f63

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

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

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:9d5fb458d1e9281716cebdbfd101216b65e96dddb85f9211f2785991f5bf5da0

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

source=pdf_text observed=2026-05-23T02:42:19.684576Z digest=sha256:94f8e2abf2907aea502c31a70db64a113665165b792e7a2e752399cb4cc4be59

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

Resolution
metadata mismatch
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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T01:59:18.546405Z digest=sha256:d174a683d1088900e7956c7462fcc6cd6363b0fa2211f63c65477fe8f4e68a23

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

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

source=pdf_text observed=2026-05-13T18:37:17.725984Z digest=sha256:4c042a93d764dd1872b2691930b64b66c4120650381006d37b9e92674c27794f

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

source=pdf_text observed=2026-05-25T07:37:38.901354Z digest=sha256:d459f9880fb7d5e9df47c5b53567d58ba6afd7efd1d100114f2848205f9d5708

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=sha256:823ffae25a6cc428d15578253cc38b35151eaf7beaffb66be8077ec261a482ee

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:d578c0907c5adbd5f692efffc27fd5cf6ea58c52ee68a6ce1a5912dca4f1d0ee

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=sha256:0cfed4b0ae4a4d5cd1bb8e1223b36f8196a6b0961085a440e076ad8fd6fe61db

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=sha256:583c4f76b2ce3dd0c8dab9ee6a6f357bb644c83fd8a026c0a91fab78023aad86

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:d3c41f62acbaf207772fd685ba9001528cccf265404a5c76b933b9f80c5b3709

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=sha256:7d9600f5a966329b7dec1d8ea017cb8326b5f4bbb4e866813b7440b26065b36b

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

source=pdf_text observed=2026-05-10T15:39:51.540615Z digest=sha256:5e05db782acb3e80457c9c38794fa2a10701c4c59b8cc7f876b27b0c9f3ee461

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

source=pdf_text observed=2026-05-10T13:00:56.512868Z digest=sha256:6085db404631c6ad123f520413470c1362956cafeafd5f0bf9b1de238e7173ae

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

source=pdf_text observed=2026-05-15T06:52:18.563146Z digest=sha256:6048d01983a79279e112d975bfdd34c08f1cd42e107319b6fc72a9f2f441f4b1

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

source=arxiv_source observed=2026-05-10T00:58:27.655909Z digest=sha256:273c22f8f5ca78196fc12ce9febe001b89c3e2dba2a37ef17d577f34ab2df85f

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

source=arxiv_source observed=2026-05-08T17:42:23.586416Z digest=sha256:38b92d6c71a1776eaaaba6f8c43688efe5281c7caee6a752c7404eb24dc5b127

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

source=pdf_text observed=2026-05-12T04:18:11.836537Z digest=sha256:663f41f4f4b57f92b92ab811e3dc4d9432a3cedb0f03e1ee4400361616fed707

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

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:320e51caac49cd2bd6056a8ea1abd977054ddb157470b040f4f5c32df415e2df

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

source=arxiv_source observed=2026-06-29T23:23:49.298204Z digest=sha256:4bf19e280d7ec8d02783b41b008a5de5104101e40fa57952a24268ea255d564a

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

source=pdf_text observed=2026-06-29T17:16:48.588593Z digest=sha256:66d6c18e9a19e61c827da97f867a842e4dd6296400652e8a366fad4b6f08b57c

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

source=pdf_text observed=2026-06-28T01:35:01.565343Z digest=sha256:515ccd1682d019327d429fefb2439ae08a4a13b8f7e04ccdec2b6afe5d096783

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=sha256:14fe734bbfe1f079053bd084ea810d8320eb0871b69c1113769d581afc682e82

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

source=pdf_text observed=2026-06-27T19:47:08.844690Z digest=sha256:6a49bd7e74a7af0e185371b40b48840219966e9b086fa410f184857847b9454d

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

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:9292271d3d2c86443a023c77bb1d8444d88396076f53f6198f6363935b109897

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=sha256:5f920ff090be97f33bffe99c4bdb661c969b3b0f7137e58a96ff3d11fe0575ea

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

source=arxiv_source observed=2026-07-04T01:45:36.335508Z digest=sha256:8e9932626ac6cc43b4ff1b70719cc20a0be0cb437c5981a1ae1cd978ff9b1335

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

source=pdf_text observed=2026-07-07T13:57:33.821970Z digest=sha256:000a3977697cca93054d410e5565c288d8917c4a4f76ce2a4b0fec5a7ed63bb2

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

source=pdf_text observed=2026-07-10T01:26:59.421158Z digest=sha256:d36f236758ef478048335b1c099873a8d05190e5642bf8a05884b7912cd63986

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:efdca76be76a6d61d04808658c29bc47c32d67931aa6d0ae6f9505d366419333

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=sha256:5171ab8f6a1270c71cef25f219d8f6f71e0ff4e56f03274cb5ad56f924b99ab9

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=sha256:82b819cdfa85cf2d0a665fc52feb26e6bfbc977f64405eeace9f2a9080bdcdbd

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=sha256:93ad1bd8612d76a4fbf1b6ceb3efb9b06f97eded9e1d99f41161b94376a2e31b

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=sha256:6f9a566bec90473bfade4964a32e96d99a45583f39d49a85f5cd344d08bc172b