Paper Citation Record · LEDGER

What Makes for Good Visual Tokenizers for Large Language Models?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.12223.

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

pith.paper-citation-record.v1
2305.12223 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:34:09.441859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.837268Z

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 7e37aa49-1f2b-4ede-b436-88c53bcdd7a2 · inbound

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension cites this paper.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension What Makes for Good Visual Tokenizers for Large Language Models?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:59:50.579186Z

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.

Observation b199ac2d-0a86-4f1d-9bec-73bebedc31fd · inbound

ACTLLM: Action Consistency Tuned Large Language Model cites this paper.

ACTLLM: Action Consistency Tuned Large Language Model What Makes for Good Visual Tokenizers for Large Language Models?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:34:09.441859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 406c7cb7-1037-4bde-943f-acbb0c6c3085 · inbound

AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis cites this paper.

AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis What Makes for Good Visual Tokenizers for Large Language Models?

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:05:48.242753Z

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.

Observation 748644a9-708b-4884-b0e9-6cceb8ce6bd6 · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation What Makes for Good Visual Tokenizers for Large Language Models?

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:18:43.838650Z

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.

Observation ca9d1c46-48c3-4387-8f08-78f5a952be0f · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report What Makes for Good Visual Tokenizers for Large Language Models?

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:19.309532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.