Paper Citation Record · LEDGER

LLMZip: Lossless Text Compression using Large Language Models

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2306.04050.

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

pith.paper-citation-record.v1
2306.04050 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 2026-08-23T06:30:58.430688+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:19:14.542038Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.821549Z

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 3ed8bb02-5810-40f1-b525-b630808bdea3 · inbound

Language Modeling Is Compression cites this paper.

Language Modeling Is Compression LLMZip: Lossless Text Compression using Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:36:13.423418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 474a6a75-5959-4309-9ddf-500614b705a2 · inbound

LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression cites this paper.

LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression LLMZip: Lossless Text Compression using Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T17:00:24.572537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07613fc6-cf37-4af1-bed2-54dae3617656 · inbound

An Enhanced Text Compression Approach Using Transformer-based Language Models cites this paper.

An Enhanced Text Compression Approach Using Transformer-based Language Models LLMZip: Lossless Text Compression using Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:04.548087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d11021-7384-424a-980f-341beec7394d · inbound

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression cites this paper.

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression LLMZip: Lossless Text Compression using Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:27:43.228319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea47322d-1bd9-40a4-be8d-151c61798cc2 · inbound

Separate Source Channel Coding Is Still What You Need: An LLM-based Rethinking cites this paper.

Separate Source Channel Coding Is Still What You Need: An LLM-based Rethinking LLMZip: Lossless Text Compression using Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:04.456567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18298b13-7219-41ac-bf4d-0e1c0581629e · inbound

GPT as a Monte Carlo Language Tree: A Probabilistic Perspective cites this paper.

GPT as a Monte Carlo Language Tree: A Probabilistic Perspective LLMZip: Lossless Text Compression using Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:43:03.521827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94bf9039-4d55-48dc-aab1-5980808a5128 · inbound

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs cites this paper.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs LLMZip: Lossless Text Compression using Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T16:40:27.137261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0e2143-c00e-43ee-9e29-9882a87c2eea · inbound

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access cites this paper.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access LLMZip: Lossless Text Compression using Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:57.920403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff9b031-86e0-48a6-9500-ecff360fe9ba · inbound

DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor cites this paper.

DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor LLMZip: Lossless Text Compression using Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:00.360300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3c86a3-9b11-47ea-8a67-dab547ab0fb1 · inbound

PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database cites this paper.

PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database LLMZip: Lossless Text Compression using Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:44:14.101566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c153d49-daec-4a92-8614-ec8b17dd4724 · inbound

EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow cites this paper.

EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow LLMZip: Lossless Text Compression using Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T18:10:38.666438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c223945-ea9a-4406-b169-c6c2ce0abffc · inbound

Joint Lossless Compression and Steganography for Medical Images via Large Language Models cites this paper.

Joint Lossless Compression and Steganography for Medical Images via Large Language Models LLMZip: Lossless Text Compression using Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T05:31:33.594865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0f0c0b-11ee-43a2-80c6-f8a38f018ab3 · inbound

Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels cites this paper.

Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels LLMZip: Lossless Text Compression using Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:50:27.951690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b328c0d6-c69a-41d7-8c1c-109e5eec2244 · inbound

StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing cites this paper.

StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing LLMZip: Lossless Text Compression using Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T10:40:04.445673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf5b3b2-a788-4d13-9164-be0ef77f0534 · inbound

Text-Preserving Lossy Text Compression: A Study of Strategic Deletion and LLM Reconstruction cites this paper.

Text-Preserving Lossy Text Compression: A Study of Strategic Deletion and LLM Reconstruction LLMZip: Lossless Text Compression using Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:53:27.066392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0ab4fe2-82ef-4884-afc7-3aa89e975ce2 · inbound

Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission cites this paper.

Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission LLMZip: Lossless Text Compression using Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:47:06.424884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dea12499-5504-43c0-b3e6-98fd451a2226 · inbound

TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding cites this paper.

TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding LLMZip: Lossless Text Compression using Large Language Models

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:07:24.286704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14fe6c47-0939-4f91-86bb-3d5c0cba3b43 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning LLMZip: Lossless Text Compression using Large Language Models

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:44.822908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 423a76b0-461a-421c-8485-2cf243b5bb01 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning LLMZip: Lossless Text Compression using Large Language Models

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:55:59.590615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e459d05-c719-484c-ba9f-bc6f27a9602b · inbound

LLM-based Source Code Compression via Thresholded Symbol Ranking cites this paper.

LLM-based Source Code Compression via Thresholded Symbol Ranking LLMZip: Lossless Text Compression using Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-31T21:25:43.228417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eddcc61-3609-4224-9dec-cd937d53a6d2 · inbound

Channel-Agnostic Semantic Compression for Bandwidth-Limited Visual Communication cites this paper.

Channel-Agnostic Semantic Compression for Bandwidth-Limited Visual Communication LLMZip: Lossless Text Compression using Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:37.108110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81f1e740-3244-431f-add7-e29cecc3ebf8 · inbound

Information Abundance Paradox: Long-Context Training Undermines Parametric Knowledge cites this paper.

Information Abundance Paradox: Long-Context Training Undermines Parametric Knowledge LLMZip: Lossless Text Compression using Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:19:14.542038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.