Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T14:44:45.361476Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2605.24541.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T14:44:45.361476Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
15 of 15 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 541c55c9-603e-4f03-99ad-666c46603349 · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Semantic Compression With Large Language Models
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0b76bbb0-7abf-4309-a2dc-67ea48f27db4 · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Language Modeling Is Compression
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7563a440-d4ec-4402-b802-388c85bb988b · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors LLMLingua: Compressing prompts for accelerated inference of large language models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 452769f2-3edf-48e7-9213-4a9affba6b6a · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e43d2f3e-2214-4991-b125-8f99c13ba68e · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Selective Context: Compress your input to ChatGPT or other LLMs
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 93c10290-be39-46d1-9ea5-9fe5f1f756c7 · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b36635a9-af68-43e0-ab4a-de3f0a640b1a · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4f8d628e-cc6f-44e1-8b4e-6ce126c9442b · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors MemGPT: Towards LLMs as Operating Systems
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cfe87f83-5269-4466-ad8f-98095a81436a · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Compress the Context, Keep the Commitments: A Formal Framework for Verifiable LLM Context Compression
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 08d89d84-f56f-42b8-a188-ea2dbe002789 · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors JSON Schema validation: A vocabulary for structural valida- tion of JSON
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 91ef5e46-ad9a-435d-91c3-abbf07c655e7 · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors JavaScript Object Notation (JSON) Patch
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8cbde230-f66a-4f9b-ac11-7a4ec1445b3d · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Tuning the decision threshold for class prediction
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 04eb506d-bb0e-48a4-900f-cc50d82d6d0e · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Unresolved cited work
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2faffdb7-ddb1-4490-a58f-df8b9bc4e71f · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Reproducibility in NLP: What have we learned from the checklist?Findings of ACL, 2023
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aaafe850-d29e-4d23-b297-0760626dacf2 · outbound
SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Beyond accuracy: Behav- ioral testing of NLP models with CheckList.ACL, 2020
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
No inbound Pith citation observations are available.