Pith. sign in

Paper Citation Record · LEDGER

Fast Autoregressive Models for Continuous Latent Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.18391.

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

pith.paper-citation-record.v1
2504.18391 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:00.647147Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T08:10:45.398238Z

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 f8621926-f4b5-4cb7-bbd9-f85c9a05cba1 · inbound

DiSA: Diffusion Step Annealing in Autoregressive Image Generation cites this paper.

DiSA: Diffusion Step Annealing in Autoregressive Image Generation Fast Autoregressive Models for Continuous Latent Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:00.647147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:00.647147Z digest=sha256:9b7f6b08eade045befa71a99402d75556a6a61f10557bc18cf183bec832bfb4a

Observation 71341f95-6b0e-4021-8355-fc1a89ee0e1d · inbound

InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs cites this paper.

InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs Fast Autoregressive Models for Continuous Latent Generation

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:10:45.400026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T08:09:19.209759Z digest=sha256:d38994a4f30a0b32c64992ff32b365c3d785fcb4920710c0de8a3179c178e33c