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Paper Citation Record · LEDGER

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2403.12968.

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

pith.paper-citation-record.v1
2403.12968 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:28:43.581431Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.313151Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 39a663c5-0200-42f1-856a-ae6d7ff071d7 · inbound

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding cites this paper.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:43.581431Z digest=sha256:f9c14fcfc03aed2c04ea8f471717056ce15c0c2c7a04002793de51406c6fe362

Observation b02d16ea-81c7-4edd-b095-22e915bac0b1 · inbound

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

On Memory Construction and Retrieval for Personalized Conversational Agents LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 36

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source=arxiv_source observed=2026-08-08T18:46:28.123214Z digest=sha256:b7c6370fe7ceb74f58447f42283cb7f93a188a95ab5e382f61afbf82904d0e6a

Observation 3142ecc6-0433-4587-91e7-a8e8b15b0f06 · inbound

Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention cites this paper.

Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 48

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source=pdf_text observed=2026-08-07T15:15:58.091882Z digest=sha256:0aeae60a46e5dccf1e9ae42871a4bb0bf470db84380e4975d580037d14aca81d

Observation 91af50d8-c748-4a84-b7eb-2de52c9b2252 · inbound

QwenLong-CPRS: Towards $\infty$-LLMs with Dynamic Context Optimization cites this paper.

QwenLong-CPRS: Towards $\infty$-LLMs with Dynamic Context Optimization LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 32

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no resolver link, observed 2026-08-07T14:40:54.196360Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:54.196360Z digest=sha256:19bb5970b028f3b25c1ea4c43e2ce21a7b36f8cbaa4967b1097143f19732bf1c

Observation 7f8883e8-3d0d-4123-bd8e-e429ca5f5517 · inbound

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

A Survey of LLM $\times$ DATA LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 303

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source=pdf_text observed=2026-08-07T14:33:13.556578Z digest=sha256:c79606980d709b6ca0056b2a6a3131e420ff83e8b932fc53be0ba0a506da0c52

Observation 68c2a5b1-9cd9-4e65-8b2e-a291a8194b5f · inbound

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting cites this paper.

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:23.078185Z digest=sha256:e60fcdbd730188436cb363cf3364a4e23440a8e697fdf989c014e7675e69eeff

Observation 7834589b-7ae5-42c2-9a10-b13825ec2e6b · inbound

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

Lossless Token Sequence Compression via Meta-Tokens LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:14:28.276503Z digest=sha256:09dfc34eacb88a19dbce8f392d514a85a14e730c1acb814e4240bb5ac2602dad

Observation f6d45ce7-ba34-4679-bd80-49b8aa172fb1 · inbound

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation cites this paper.

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 56

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:49.739784Z digest=sha256:00f99e4e762548ad3275e81a51934952241043396240f81d7423af867a385968

Observation c725764d-15c9-4436-86f3-71b3122f0f4b · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 70

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no resolver link, observed 2026-08-07T06:04:33.533062Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:33.533062Z digest=sha256:503d8b42b41ad7e3381c4e3113aa09e397e12c344466aec051b1942c5a345c1a

Observation 2e92313e-80ee-4f48-b44d-86c392db01ef · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 40

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source=pdf_text observed=2026-08-05T23:32:55.108925Z digest=sha256:f9275a866826fcc3b61b39fd0ad3e2411b90eb7dbf13ce52fb8df527d260d346

Observation bdb866a6-6bd4-41c9-9199-da7c783235eb · inbound

Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression cites this paper.

Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:56:59.953094Z digest=sha256:525d19cd78e45b8c79bf5353ca4f1806b5b151b87937181ba81e85d88dfdb4a5

Observation d6b81bd0-a923-4fa5-9354-92f5e1a34ea4 · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 33

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no resolver link, observed 2026-08-04T08:28:51.479132Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:28:51.479132Z digest=sha256:533a948b5a04cc3f97f5c56940343bd740fc150df19ae8f60237a850c2128c52

Observation 432a6a4a-194f-44ae-9aa8-d78a4b47853a · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 69

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source=pdf_text observed=2026-08-04T08:06:13.382693Z digest=sha256:354ae57804aba1d8d9a6b0073e49cb0d8bee7a048a8e2d585fdfc83cde54faa4

Observation 21a3fcdd-9853-4fe8-a855-7aa3109374fc · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 23

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arxiv_id, observed 2026-05-21T13:44:11.429005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T13:43:51.127429Z digest=sha256:1fcc8bd47f578a339b5052fce4d7333de0913bfd9c0542c5c7190ddbb470e54b

Observation 177561b4-6493-4f29-9d35-87c6eb984f55 · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 23

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no resolver link, observed 2026-08-03T03:25:23.085492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:25:23.085492Z digest=sha256:4030075f26225b980ec9aa1ca7ef4f35a60a0bccf74331e4fc1b021dbf42bb65

Observation ffbf7176-4647-4850-a649-81291c07f1ed · inbound

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling cites this paper.

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 19

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arxiv_id, observed 2026-05-15T22:00:21.370606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:ac608d53b2fc681de3731ac75c619f72f843f1e501bf9c57112bf3985387d963

Observation 5e91b903-6dde-45a6-bee9-ce1f4ed19c1e · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 27

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arxiv_id, observed 2026-05-10T13:40:27.550032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T13:00:56.512868Z digest=sha256:c0b8f65490c604bab771487a2448975aa2ed7188c810a51e7c584a19f0d97959

Observation a9b88b44-388d-4eab-9cbb-78f61ccaff25 · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 6

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arxiv_id, observed 2026-05-15T06:55:10.703875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T06:52:18.563146Z digest=sha256:3ed22b766c30d8b7e1a124a809740f0c35290c449b8f262471669987cb2ad1e5

Observation f8b0b7ae-33cd-4e33-9738-173ada693d76 · inbound

MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration cites this paper.

MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 2

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arxiv_id, observed 2026-05-10T11:30:18.723446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:27:46.226527Z digest=sha256:be35e58b09fcef2658bcd91bdc78af842db9f07dbc1b03e4e1bb71ee23e4354e

Observation b260708b-3f16-40b5-a26a-d49afaf4431b · inbound

Compressing Sequences in the Latent Embedding Space: $K$-Token Merging for Large Language Models cites this paper.

Compressing Sequences in the Latent Embedding Space: $K$-Token Merging for Large Language Models LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 3

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arxiv_id, observed 2026-05-10T11:30:18.902593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:27:13.718813Z digest=sha256:490152bbf6885ea0e988554d01b53dc2101c9b1997d2af482d7c67cbe49bf5a9

Observation 8033894c-d87e-407f-8b63-666c2d8fc9b4 · inbound

CRISP: Compressing Redundancy in Chain-of-Thought via Intrinsic Saliency Pruning cites this paper.

CRISP: Compressing Redundancy in Chain-of-Thought via Intrinsic Saliency Pruning LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 3

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arxiv_id, observed 2026-05-10T05:41:02.315060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:37:56.419884Z digest=sha256:ddeae4cd9635159c7f57ce29df5d30bdae6fda1cf0ca306ed57be6fb46eb1715

Observation 2b3aa798-8e11-44d1-8c35-96b165c54f5c · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 6

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arxiv_id, observed 2026-05-10T09:23:37.772862Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:21:56.826488Z digest=sha256:a29fef065a91570dedd1cdd899c2afb06eeb9b9694278a63abe37e0e0d32f9e3

Observation 55ee1889-ec1c-42e7-affe-0b2fb3828c50 · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 3

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arxiv_id, observed 2026-05-12T06:26:24.135636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:18:11.836537Z digest=sha256:fc1d81eb4f8150994a268640284c8671172fe862ba9757d21296bf63fe5f3bb3

Observation 9376042f-6697-43da-9e11-328cac3acd36 · inbound

SOMA: Efficient Multi-turn LLM Serving via Small Language Model cites this paper.

SOMA: Efficient Multi-turn LLM Serving via Small Language Model LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 37

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arxiv_id, observed 2026-05-13T01:42:04.141168Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T01:37:27.361504Z digest=sha256:ef6d594baa1915e73a9d42f251cb96d968b9f10c49452268e8327f0fbc06ae16

Observation e74ad4b0-1431-4ba4-8d7d-e2db439ba6ce · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 15

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arxiv_id, observed 2026-06-29T23:24:01.261450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T23:23:49.298204Z digest=sha256:af9df85c8384a69641be01287af8b66c83cfcc767e8737efa4db2564c53b3774

Observation 7be9e403-d430-4e0a-b55a-aa0b31712b53 · inbound

Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text cites this paper.

Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 31

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arxiv_id, observed 2026-07-03T01:17:30.496481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:45:17.380015Z digest=sha256:c436c9a15705f4e85c8010148413bb295fb189396b2910c36307fe9ecfd226e2

Observation 872176f3-7bb5-42b0-98aa-d158a673f289 · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 7

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arxiv_id, observed 2026-06-30T11:34:37.875806Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T11:30:52.871762Z digest=sha256:72da6e2ba880f59056b53a9058a92d335f0d5c7f4c055c2b53aa9aa081e00b29

Observation 876ee509-ace5-4827-92f2-b35936117c4b · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 1

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arxiv_id, observed 2026-07-04T01:49:21.537057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-04T01:45:36.335508Z digest=sha256:f2eebe385c04bd749d1682f8354a1c23ad7bf3931a5fa953f7b5ba12b329dd0b

Observation 1348a19c-38f4-49d1-a68c-3ab61dca1a57 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 185

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no resolver link, observed 2026-07-11T23:16:58.545731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:16:58.545731Z digest=sha256:06611fd14ea4e395e2ad15d57f4128f3904f4b65ea786c23b992e612bbe5022b

Observation 2cd86c4a-566f-41e6-96c1-71363b128d70 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 185

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no resolver link, observed 2026-07-13T07:02:13.140334Z

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source=arxiv_source observed=2026-07-13T07:02:13.140334Z digest=sha256:7c68de72746f347b22d6e6979c8366082ff20f2276f4530608d3ec163567f7fc

Observation a44aaba4-ac7e-4e0a-841a-4e08e1740801 · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 91

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local_arxiv, observed 2026-07-10T01:36:44.314393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T01:26:59.421158Z digest=sha256:c5a76455ae3233eb2c47abeb8e2aee582b9f949a0bbb01ccd3280af3dfde3e66

Observation 9766d172-1b11-4e2b-af13-568746610d34 · inbound

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

Mach-Mind-4-Flash Technical Report LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:29:34.486347Z digest=sha256:7e46a998431f008e3da817ef992b27150e7c3974d8f1b86af7240bbb0344979b

Observation b494edfa-de78-40f7-b727-7bdf014fe5de · 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-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T11:37:07.776703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:37:07.776703Z digest=sha256:572c6bd9fbda11ab66ee08f6fe8e50e7cb52a85dacff4cd39985591858c805eb

Observation d15fd6a5-32d9-48b5-a2ac-443aad570904 · inbound

Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? cites this paper.

Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T22:38:10.188571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:10.188571Z digest=sha256:dcb3681d152d81dcdaaf1e320320a6220cfdb5241a5325cf4b19dc3c620af08f

Observation 47e4c23b-3a55-45d2-87e4-57d13081b489 · inbound

Lightweight Chunk Selection for Mobile Retrieval-Augmented Generation cites this paper.

Lightweight Chunk Selection for Mobile Retrieval-Augmented Generation LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T00:45:23.991669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:23.991669Z digest=sha256:968cef531fa4118687d0f3d61664e3f5500b435d048d411a965fc0fcc60825eb

Observation 83425617-64bf-477f-8aa1-5da4aeccd405 · inbound

SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries cites this paper.

SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T05:45:36.152929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:45:36.152929Z digest=sha256:45d2f360f79232833884b9abb3979507839a0096bb1a6ac8031b5f883bd4cd88