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Paper Citation Record · LEDGER

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors

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.

pith.paper-citation-record.v1
2605.24541 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:44:45.361476Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact5
  • verified fuzzy8
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 541c55c9-603e-4f03-99ad-666c46603349 · outbound

This paper cites Semantic Compression With Large Language Models.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Semantic Compression With Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:54:45.673438Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:57be706570b35063852a4c482a2503443ced14815d40d32c823e18c8166edf2a

Observation 0b76bbb0-7abf-4309-a2dc-67ea48f27db4 · outbound

This paper cites Language Modeling Is Compression.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Language Modeling Is Compression

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-06-30T14:54:45.665697Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:81d05950ab1e9e6b6aa6de2a0cba3227cdc8194b54d91d7ecab8e8641d9e6cf1

Observation 7563a440-d4ec-4402-b802-388c85bb988b · outbound

This paper cites LLMLingua: Compressing prompts for accelerated inference of large language models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.321567Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:6b263a3399e385445ff9fa9dcc685e4d6215c9fb74d4bdb91744993a8345a011

Observation 452769f2-3edf-48e7-9213-4a9affba6b6a · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

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

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:54:45.678257Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:773c7e621491d4c55b3f58b645f70c49b17155d0599f4b6c573d2e042f226897

Observation e43d2f3e-2214-4991-b125-8f99c13ba68e · outbound

This paper cites Selective Context: Compress your input to ChatGPT or other LLMs.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.319758Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:b662a1e2f03ee064076a27a4beddb2b95bbb84e0edb4c2b053bfe7da44c7b27b

Observation 93c10290-be39-46d1-9ea5-9fe5f1f756c7 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.323636Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:d9689138e36bd0445ec19a2c6209eea60e65cce4c24b9b70e86f225c1d5acff5

Observation b36635a9-af68-43e0-ab4a-de3f0a640b1a · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-30T14:54:45.678118Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:2915424dfcaac43b797c1495eb1bf52bc2ef289be3a0e88a230817b0d7d95996

Observation 4f8d628e-cc6f-44e1-8b4e-6ce126c9442b · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors MemGPT: Towards LLMs as Operating Systems

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T14:54:45.672944Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:4f11f8f38d6f5489a0b3719e7cba37511b41cbd632fa5aad9abbd142bcb3e2c8

Observation cfe87f83-5269-4466-ad8f-98095a81436a · outbound

This paper cites Compress the Context, Keep the Commitments: A Formal Framework for Verifiable LLM Context Compression.

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

Resolution
verified exact
local_arxiv, observed 2026-06-30T14:54:45.675311Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:316c8f7809a2a479b2cc413eb582fff35aaacd07bef2ab52223101ba79f420ad

Observation 08d89d84-f56f-42b8-a188-ea2dbe002789 · outbound

This paper cites JSON Schema validation: A vocabulary for structural valida- tion of JSON.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.325703Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:48b1c11bc5019ab78fb037d52a8d201bf0af84fc7d27da357a72eabbac4ecf50

Observation 91ef5e46-ad9a-435d-91c3-abbf07c655e7 · outbound

This paper cites JavaScript Object Notation (JSON) Patch.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors JavaScript Object Notation (JSON) Patch

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.315564Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:97b09936e5b13b749d49b2625a46015879577304e0a4188685113c0785de3abb

Observation 8cbde230-f66a-4f9b-ac11-7a4ec1445b3d · outbound

This paper cites Tuning the decision threshold for class prediction.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Tuning the decision threshold for class prediction

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.317952Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:bd3a0503a18922bb3c88f3e6d920e2279e783ec600e050a80f849ee7c08a36aa

Observation 04eb506d-bb0e-48a4-900f-cc50d82d6d0e · outbound

This paper cites an unresolved cited work.

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-07-08T22:05:43.311968Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:fd44db628f97b88e99cff64222c1ded0176b63866b8719503a5744476e797c67

Observation 2faffdb7-ddb1-4490-a58f-df8b9bc4e71f · outbound

This paper cites Reproducibility in NLP: What have we learned from the checklist?Findings of ACL, 2023.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.310141Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:365e4ec9988416d42582ea4ff83c56563a277601c4195856fbefb04b7c5dfaa5

Observation aaafe850-d29e-4d23-b297-0760626dacf2 · outbound

This paper cites Beyond accuracy: Behav- ioral testing of NLP models with CheckList.ACL, 2020.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T22:05:43.313847Z

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.

source=pdf_text observed=2026-06-30T14:44:45.361476Z digest=sha256:2360e371e7bd1f160172a8a129793e4732772f65d2c6a95c5fd3b2a81f1bfe79

Pith citing papers

No inbound Pith citation observations are available.