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Paper Citation Record · LEDGER

Fast Generation for Convolutional Autoregressive Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1704.06001.

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

pith.paper-citation-record.v1
1704.06001 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:15.999387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:41:55.888649Z

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 e8b03c30-3466-4097-8876-3391fd6bc761 · inbound

Efficiently Modeling Long Sequences with Structured State Spaces cites this paper.

Efficiently Modeling Long Sequences with Structured State Spaces Fast Generation for Convolutional Autoregressive Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:54:03.108224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T10:41:55.618357Z digest=sha256:bd64bf3f05747ae02eb8f06640e41392f9da2691ffaabead3ea1d30d2a343afe

Observation 9e77187f-9598-46c9-a911-22b12159db19 · inbound

Progressive Distillation for Fast Sampling of Diffusion Models cites this paper.

Progressive Distillation for Fast Sampling of Diffusion Models Fast Generation for Convolutional Autoregressive Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:54:03.108224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T09:37:44.394785Z digest=sha256:e4feb36d8aeb5a85209baf8fdc622f3cdc5c759461d672fe16160ea5f85a7d7a

Observation 424668e7-2533-4d82-932e-7bcb73032617 · inbound

Discrete Diffusion Models for Language Generation cites this paper.

Discrete Diffusion Models for Language Generation Fast Generation for Convolutional Autoregressive Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:15.999387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:40:15.999387Z digest=sha256:e315aac17062ece0406e1299aaa8a0728f2a8e960e4967a1baa959a90b47c7f3