Paper Citation Record · LEDGER

GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.08736.

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

pith.paper-citation-record.v1
2504.08736 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:36:52.918325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:46:55.480663Z

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 90cb498b-031f-40f4-bd42-62f07c0e743c · inbound

Exploring Autoregressive Vision Foundation Models for Image Compression cites this paper.

Exploring Autoregressive Vision Foundation Models for Image Compression GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T05:36:52.918325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bd6338-1510-41ad-a48c-c63e857b3ca6 · inbound

TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders cites this paper.

TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:57.185595Z

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.

Observation 09818de6-742d-440e-9e8b-414661715b3f · inbound

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer cites this paper.

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:05.734953Z

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.

Observation 8dfa96d7-23ac-46c1-ae66-9d45782588bd · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:06.115031Z

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.

Observation dfbaecec-0d7b-4925-af21-3e42ab3f9055 · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:46.151968Z

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.

Observation 9ff9c5f0-b7b7-4a3d-b08b-b5970cc4d542 · inbound

Balancing Image Compression and Generation with Bootstrapped Tokenization cites this paper.

Balancing Image Compression and Generation with Bootstrapped Tokenization GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:55.482176Z

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.