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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 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

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:54.186905Z

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

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Outbound references

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Pith citing papers

Observation 1e2789cc-df23-4e0a-8699-1b3c518231a4 · inbound

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

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 35

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source=arxiv_source observed=2026-08-11T14:47:03.982615Z digest=sha256:d7a8008d2d9604aa02d9b1949884fad5d923aea1a773af6edc92ea850da3d447

Observation 9e3aa15e-7e27-4612-83b7-1de9e17b536b · inbound

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG cites this paper.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 65

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source=pdf_text observed=2026-08-10T20:34:34.862327Z digest=sha256:14dc8b7022e0da5b811131ad9ab49ab324fb3b7644d30cf25c39dbfbe86b92ad

Observation a060a384-1a65-4436-bfdc-ff27ccb6d49f · 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 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 32

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source=arxiv_source observed=2026-08-10T16:40:36.734939Z digest=sha256:77bc80a557741b1d34ef78595d303ab4e2f45baad0f744c0cc9fdcd216481269

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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source=pdf_text observed=2026-08-08T19:28:43.581431Z digest=sha256:8d6c7a709c89ec1ae0cf952de9b374f764efb9b1bea928baa381cf92b8800751

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:e97dabea1edbec5f9103ae7a0343323f1136e67f60a34feb31103d7207aa26da

Observation c64f469b-281f-41be-b33a-b966fc505c0e · 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 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 30

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source=arxiv_source observed=2026-08-16T11:05:54.186905Z digest=sha256:18f76f4896802605a786c703dd48bf4f72afd8e3e1ea3140e0687dc7cbc5e452

Observation 44133971-76f4-4d07-a9a6-ff021673e0a7 · inbound

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams cites this paper.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 12

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source=pdf_text observed=2026-08-16T10:45:20.521679Z digest=sha256:7b7298c1b12f9f0156ace4969fdb05a2024b1db7f4709437bb3958e9d91cbea2

Observation e87241dd-17e3-4a1e-b6e6-87e2bc369140 · 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 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 21

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source=pdf_text observed=2026-08-15T20:58:48.197690Z digest=sha256:255c1823ccdb0944e656dd1efa195b9382d82f3392145039e48a443a4dd792c3

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=sha256:46c3e50f4da21e56a87737190c7e6f13f5f14948b890542df938e723e7cd2301

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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source=pdf_text observed=2026-08-07T14:40:54.196360Z digest=sha256:b13ecd5a7b65e77d185a80602af0b09614e07439ba8f0b97e54b56a195afd19b

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:b78c3ee550f9e2609e253c0453b9572c3b6aea631472e9a43de21c586458b043

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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source=pdf_text observed=2026-08-07T14:12:23.078185Z digest=sha256:bb15db5bc239ec476579b2bf882d937a262c8152d023e9810aa2a0ecd96fae2a

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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source=arxiv_source observed=2026-08-07T12:14:28.276503Z digest=sha256:88c7c734cf332049561f2b6c8f5ff53d7c62cf9e716c44077de118a0c2565757

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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source=pdf_text observed=2026-08-07T10:52:49.739784Z digest=sha256:9000a24470144a3433c0489c827143dbbfd8c52d2a438e9054ef919721796706

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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source=pdf_text observed=2026-08-07T06:04:33.533062Z digest=sha256:d413f6a0d8095b573f81ba1644ec46b3c5780c57204ee28fa974328abb13607f

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=sha256:567193cba9b997459c1bb49e39e60f69a5c2a4da3195bf89392fcc48e5ff194a

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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source=pdf_text observed=2026-08-04T10:56:59.953094Z digest=sha256:3da999f6070ca9e906fa716f44e89c50a424b64380d4220064ef0352fed7965c

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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source=arxiv_source observed=2026-08-04T08:28:51.479132Z digest=sha256:f63f4aeff0f156dde620bebc981213aface91c61ebcb98c200dee9defa66cd2b

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=sha256:77bc12f495719b4da6acc5ea139a68a27183257dc039072a409630352f9e819c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T13:43:51.127429Z digest=sha256:15fc1e68c75dce93c0068c2ad48a76887eeb29d120653ebfefd0e6fd1c39da6f

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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source=pdf_text observed=2026-08-03T03:25:23.085492Z digest=sha256:5448b41f48a3609867c8756eb1d67a576352a0407d36d6ff34aca79a3e255edc

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:06c19bdb7ff5bd11bcb0dcef13e08858e0c6c4613773018da65203c677904170

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T13:00:56.512868Z digest=sha256:58e14a1555f4f7c3dae646a45aeb03efcefa6743f0ff8add65263a150a2a4da9

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T06:52:18.563146Z digest=sha256:747deae7d0f9c63ae5fecf6b26404d25da562eaa8800480cb690829f71de782d

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T11:27:46.226527Z digest=sha256:86cb63c4aaf501eeef7678b7622b0db069287e8ae3205bd1523d40980ef64a19

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T11:27:13.718813Z digest=sha256:7b20660a0d10beeb367bed2bbcfc840c333f71e6527055f0ffd3e38dd4a316ed

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T05:37:56.419884Z digest=sha256:450a260be68d9e291c2e98c5f36cd2b9b046c502b589f910f92ab72ac3494d15

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T05:21:56.826488Z digest=sha256:f3dcac160727c8ec11ed12a1bc8b89fc45e68b539a4509dcebb170f0c3760d13

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T04:18:11.836537Z digest=sha256:cb197dc0e60a50619131d3c330ec3444b2947863e3eabefb68a7ecea2ce7cfa5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T01:37:27.361504Z digest=sha256:0ef22d04496e2fc16cec50db529cbbae2c95fce978db96d0c11ceeeb04ee62ad

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T23:23:49.298204Z digest=sha256:6b935ea86159bd78d316c5ef8c85a671d6d537d9b25233bd299a9c11620e59d5

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T16:45:17.380015Z digest=sha256:3dababfb7e77baf02d00dc41f49370f6d0af173e4de168a768772008e5fc9121

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-30T11:30:52.871762Z digest=sha256:df29de4b82617a49768224caf500b579ff81f06e1ca7200de365428d0c4211cf

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

Resolution
verified exact
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-04T01:45:36.335508Z digest=sha256:0b696b2711e28ce29f7b43708fdaf65f0c2247da059e97158f480683caf14989

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

Resolution
unresolved
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=sha256:400c1d276c2c9252c38f779d5a8200b5c47118e3ccb9d7c8ab64f834f19ad71f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T07:02:13.140334Z digest=sha256:d0c4443d2a1ff28abdf22e31ee8369dd25e6deacbfe9caefeadd6f827f2db277

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

Resolution
metadata mismatch
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-10T01:26:59.421158Z digest=sha256:183979cd2dd351c46387e93b6bbeeb0b8d512d16e12b7c5bb54294c196bd23ba

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

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:f8e44ba954cfeea579db27f5d8b35d8eb38fce5d9e0290b7cdcf17f4aa1743a3

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=sha256:00d42c99fc1d40afaac26518310f13e72fc73ec06ac54a9cf8e5146c7d97ee22

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=sha256:796106f42c2f44aec4f36f6d7bc4ec60ae99d038051108eba1685876eb7effd4

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:aa9e0102a6f50a16804ad9476a9137945a8b27e333ba25582d38528c5ebd939d

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=sha256:2fe66a22563843c3efbf76470179281d35b6c5447ccf81f10f2d2273b90c92d6

Observation d3e7b421-c379-4329-9e51-fb3779553acf · 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 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T00:25:00.899741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:25:00.899741Z digest=sha256:1f16f01552df6c3e522ac49c863b2556d8ddca4cda3eb0b29e9c7d97de8fb6fc

Observation 8326e22d-ff72-473a-973f-d2e571998a6e · inbound

Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference cites this paper.

Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-14T11:18:55.853501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:18:55.853501Z digest=sha256:2f4bb907bc364ba4e2825135b9ed6343bf85a798e1b6ed55b13f59aca62290f3