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Paper Citation Record · LEDGER

Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.11718.

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

pith.paper-citation-record.v1
2305.11718 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:03:04.957053Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:03:05.563792Z

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 a3472575-ed4e-45ab-bc49-c9ca11558bd8 · inbound

Cross-Layer Discrete Concept Discovery for Interpreting Language Models cites this paper.

Cross-Layer Discrete Concept Discovery for Interpreting Language Models Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:03:05.567812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:03:04.957053Z digest=sha256:5b57e47822d59c66c59d329ccb64995b675c9303517e8b62b62ec053b031b067

Observation 47c1ae29-3110-44d8-9bc8-7eabecdf391f · inbound

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery cites this paper.

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization

Reference 2799

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.648766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.648766Z digest=sha256:abfdd2644c97624283935185c9c6431a2f7c03feab44217a712bd535dfd4bc74