Paper Citation Record · LEDGER

Prompt Compression for Large Language Models: A Survey

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2410.12388.

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

pith.paper-citation-record.v1
2410.12388 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:59:42.935313Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:43.999133Z

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 12bc833e-4df2-4f81-8b58-a3dbc5a63a37 · inbound

A Survey on Large Language Model Acceleration based on KV Cache Management cites this paper.

A Survey on Large Language Model Acceleration based on KV Cache Management Prompt Compression for Large Language Models: A Survey

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T00:38:46.737455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09b3a46-b11d-4101-8ef1-9e0b10f9e519 · inbound

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation cites this paper.

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation Prompt Compression for Large Language Models: A Survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:53.726300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8392a69-cc00-4091-b30d-6b8bb9197ce1 · inbound

ICPC: In-context Prompt Compression with Faster Inference cites this paper.

ICPC: In-context Prompt Compression with Faster Inference Prompt Compression for Large Language Models: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:28:06.878755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d54c2f75-c0c5-492f-b9ff-7bd4c187271d · inbound

MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores cites this paper.

MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores Prompt Compression for Large Language Models: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:59:42.935313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bca31e8-7d42-4bb8-8285-4e70d1aafaa3 · inbound

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

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation Prompt Compression for Large Language Models: A Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:57.980115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dedcef3b-a145-4bef-8c36-514b5434f9e2 · 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 Prompt Compression for Large Language Models: A Survey

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:55.750442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed4f9f04-76a1-4e96-8940-f9de2ac3c9cb · inbound

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

Lossless Token Sequence Compression via Meta-Tokens Prompt Compression for Large Language Models: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.469882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf15584c-e8d7-4b06-b85a-a95f762a0fa7 · inbound

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems Prompt Compression for Large Language Models: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:19.847504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa9b5c3-f083-42d2-b206-e2fe136120eb · 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 Prompt Compression for Large Language Models: A Survey

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:11.609545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d45045c-c8ba-4fd7-be67-fd3ea66d46f3 · inbound

SkillReducer: Optimizing LLM Agent Skills for Token Efficiency cites this paper.

SkillReducer: Optimizing LLM Agent Skills for Token Efficiency Prompt Compression for Large Language Models: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T15:31:30.563780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3789679-6d54-4609-a5a4-d3fa064edd84 · inbound

Layer-wise Token Compression for Efficient Document Reranking cites this paper.

Layer-wise Token Compression for Efficient Document Reranking Prompt Compression for Large Language Models: A Survey

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:03:55.846477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 116eca11-66d6-48e7-9272-d5fa02d27726 · inbound

Layer-wise Token Compression for Efficient Document Reranking cites this paper.

Layer-wise Token Compression for Efficient Document Reranking Prompt Compression for Large Language Models: A Survey

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:21.664017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9048ecd7-f98f-4a57-8267-382e2e46f0bf · inbound

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate cites this paper.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Prompt Compression for Large Language Models: A Survey

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.605265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13e60dc3-f1a7-4b68-bc52-1385b0fc11ec · inbound

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Prompt Compression for Large Language Models: A Survey

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:34.917339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 43718fd4-1413-4e94-80a7-01c4610678e2 · inbound

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL cites this paper.

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL Prompt Compression for Large Language Models: A Survey

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:45:40.243404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 999ecfde-2902-47e8-b206-7e65b49975ae · inbound

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL cites this paper.

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL Prompt Compression for Large Language Models: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T07:12:34.663753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde44830-d633-47e1-9f64-1fb457c6b837 · inbound

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL cites this paper.

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL Prompt Compression for Large Language Models: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:12.944536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb6cd177-d0e6-4b66-a2bf-5cc7c1334c7c · inbound

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL cites this paper.

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL Prompt Compression for Large Language Models: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T02:05:45.179391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e792e00-37db-424f-bdbf-a6676f03ee16 · inbound

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL cites this paper.

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL Prompt Compression for Large Language Models: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T04:36:25.556693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b5f9ab-55f3-40c3-9680-7ebccbf4e6ce · 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 Prompt Compression for Large Language Models: A Survey

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.000268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92b9ae54-77a5-4c4a-b4a6-6c7cdfb34616 · inbound

AI Agents Do Not Fail Alone:The Context Fails First cites this paper.

AI Agents Do Not Fail Alone:The Context Fails First Prompt Compression for Large Language Models: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T02:38:47.039965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbcdebf8-8dac-41d6-99aa-bd40e39b870d · inbound

VoxZip: Semantic-Anchored Temporal KV Cache Compression for Long-Context Audio Inference cites this paper.

VoxZip: Semantic-Anchored Temporal KV Cache Compression for Long-Context Audio Inference Prompt Compression for Large Language Models: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:59.645686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.