Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:38:10.188571Z

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

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 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

Resolution: unresolved; no resolver link, observed 2026-08-04T10:56:59.953094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:13.382693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

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

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

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

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

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

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

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

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

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

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

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.772862Z

Source-reported events for the cited work

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

Observation 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

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

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

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:42:04.141168Z

Source-reported events for the cited work

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

Observation 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

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

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

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

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

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

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

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.

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.

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

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.

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.

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.