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Paper Citation Record · LEDGER

Transformer-VQ: Linear-Time Transformers via Vector Quantization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:59:42.865077Z

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T01:15:13.991219Z digest=sha256:a992343ca60117f5b065ba0106a1c807ab1be28a821f71a9ba8a70e04b193b92

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=sha256:04c2829b4fdf14aa33e72ce157e9bd70ea9aa6c9d2ccf7f310e796dc27a60124

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T01:09:43.669055Z digest=sha256:e90ed941a083055a839e22afd70d281de9c8e48efcfc69df0aa000af2b822483