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Paper Citation Record · LEDGER

Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.06297.

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

pith.paper-citation-record.v1
2505.06297 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:31:33.591988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:07:24.251044Z

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 14b4aa86-0f7d-4bfb-9414-e9784bf5af55 · 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 Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T05:31:33.591988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:31:33.591988Z digest=sha256:09c505ac45b2621174f4e3557e401f58a846f3c8c25adc7cd4fe9ddcda3da2c0

Observation bd11da7d-69a3-441d-a6d1-42144d458b6e · 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 Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:24.252362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T19:54:39.953302Z digest=sha256:fac474f889b0ea1221194b925aa7b203d41257f6a656bc52e2e0a2bfe44d4da3