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Paper Citation Record · LEDGER

Transformer-VQ: Linear-Time Transformers via Vector Quantization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.16354.

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

pith.paper-citation-record.v1
2309.16354 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:12.248356Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 31548ff7-eec4-497c-91a5-799932156cf3 · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Transformer-VQ: Linear-Time Transformers via Vector Quantization

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:15:14.037639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-15T01:15:13.991219Z digest=sha256:e632b9d98a7599d6421925d7e9669aa9a99f196d1f69ca6c9b90771076ba809b

Observation d3b824a3-6ebb-4bcf-b4c0-ea2dfb2bd88f · inbound

Text to Image Generation and Editing: A Survey cites this paper.

Text to Image Generation and Editing: A Survey Transformer-VQ: Linear-Time Transformers via Vector Quantization

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-16T00:53:12.248356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:12.248356Z digest=sha256:4f4ecc29aec5d492d15a0d90f05bb54da7fb30f0a06205cd4e7df2fb7c9cece1

Observation ca0054aa-37ef-4ed8-aa3c-6908b3dafa19 · inbound

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive cites this paper.

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Transformer-VQ: Linear-Time Transformers via Vector Quantization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:42.865077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:42.865077Z digest=sha256:b0d7ba5893004855d95b881a895c50ab6dbb83bf30367b170afc9d46f9630c12

Observation 70684f41-e605-4d9e-b771-7c11a1b25453 · inbound

Enhancing Layer Interaction Using Key-Correlated Layer Attention cites this paper.

Enhancing Layer Interaction Using Key-Correlated Layer Attention Transformer-VQ: Linear-Time Transformers via Vector Quantization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.442714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T01:09:43.669055Z digest=sha256:33ae51091fc5231a3b775de544d495d9af3c90cdf546eb0a40e20cfb1a8cf4a4