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Paper Citation Record · LEDGER

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.12490.

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

pith.paper-citation-record.v1
2410.12490 v2

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 2026-08-02T22:43:29.116321Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:03:13.427053Z

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 422c6c20-d218-44f4-afd4-7933a3b1a578 · inbound

LGQ: Learnable Geometric Quantization for Image Tokenization cites this paper.

LGQ: Learnable Geometric Quantization for Image Tokenization Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

Reference 18

Resolution
malformed identifier
no resolver link, observed 2026-08-02T22:43:29.116321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:43:29.116321Z digest=sha256:8ac1fc4bccb20885726df59276c041569509c39238483eebc3cfe95bea107d6a

Observation 5ed8a22d-d3b1-4cb5-974c-49af612d3f66 · inbound

Vision Foundation Models as Generalist Tokenizers for Image Generation cites this paper.

Vision Foundation Models as Generalist Tokenizers for Image Generation Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.428493Z

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=2026-05-20T11:01:24.738195Z digest=sha256:53ab9600ce0f1ad6d21a33b906262d0dbfa1e8ce85d1440210a9efe590c54c88