Paper Citation Record · LEDGER

500xCompressor: Generalized Prompt Compression for Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2408.03094.

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

pith.paper-citation-record.v1
2408.03094 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:55.891940Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.042285Z

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 12ea812d-cae2-4c03-b3b0-40a053fb60f9 · 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 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:55.891940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08a17c38-6d27-44a4-8d2e-13424f9efd05 · inbound

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

Lossless Token Sequence Compression via Meta-Tokens 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.618067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa505fc0-417f-46cf-a035-2193ac830b73 · inbound

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation cites this paper.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.403597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46aac62e-036f-4d87-bbd6-517cd2ffb69b · inbound

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens cites this paper.

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:47.996132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0061171-835e-4d88-ac35-9ccfcf50aa5e · inbound

A Survey on Prompt Tuning cites this paper.

A Survey on Prompt Tuning 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 353

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:30.088575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2af889-0784-4c48-a3c4-4c9bbb59240f · inbound

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts cites this paper.

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:23:50.377065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e53419f-ea3f-41dc-96cc-933bfd93c206 · 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 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:11.689240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df78505-d6c7-4f7a-8048-57b6598a35c5 · 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 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.556464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfa856b9-e5dc-424d-b4ce-8c02ed7b0902 · 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 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.044034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a4b7d72-aae2-46c4-93b9-407f4c3e6bdf · 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 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T23:14:55.032941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.