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Paper Citation Record · LEDGER

Restructuring Vector Quantization with the Rotation Trick

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.06424.

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

pith.paper-citation-record.v1
2410.06424 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:11:55.339064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:49.031701Z

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 59a65472-ec2b-4512-a023-4b9d749e5a87 · inbound

ARCON: Advancing Auto-Regressive Continuation for Driving Videos cites this paper.

ARCON: Advancing Auto-Regressive Continuation for Driving Videos Restructuring Vector Quantization with the Rotation Trick

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T22:11:52.437454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:11:52.437454Z digest=sha256:02e104ab2d9a9a3b6c5cee73b29817061cfeb017da306dcfad4c53ff4d04acc5

Observation 9385977d-54a2-490e-88c2-97434ceac5b2 · inbound

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer cites this paper.

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Restructuring Vector Quantization with the Rotation Trick

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:33:13.133672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:33:13.133672Z digest=sha256:cec7bc90be3c519c8c452dd74e2d6d78a621bd86a05aca6698ebf79efe72a322

Observation 256a1065-dac2-42de-9c16-f79c245a3389 · inbound

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation cites this paper.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Restructuring Vector Quantization with the Rotation Trick

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:02.909159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:02.909159Z digest=sha256:ea59457560389bff0ba05979769bc1614fca29e0dc9b3c04779e8d9600b21f9c

Observation 2d85cbd5-7560-4c54-8f46-8d607f89fb94 · inbound

HH-Codec: High Compression High-fidelity Discrete Neural Codec for Spoken Language Modeling cites this paper.

HH-Codec: High Compression High-fidelity Discrete Neural Codec for Spoken Language Modeling Restructuring Vector Quantization with the Rotation Trick

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T18:11:55.339064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:11:55.339064Z digest=sha256:2928d068cf82bb9b6d77ad8bad4a3faba2d81abeb257149a61176a2db6ee3302

Observation 8dc895b0-7eb4-4130-8745-b225a58b5d32 · inbound

Generative Recommendation with Semantic IDs: A Practitioner's Handbook cites this paper.

Generative Recommendation with Semantic IDs: A Practitioner's Handbook Restructuring Vector Quantization with the Rotation Trick

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:13.155817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:13.155817Z digest=sha256:661f9eb5b797d4772c35498f9c9336d999ca4dcdbe7cced8c04366a64ad7203d

Observation c922ebd1-e6cd-4861-ac89-bd243946c903 · inbound

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation cites this paper.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Restructuring Vector Quantization with the Rotation Trick

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T15:05:02.745323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:05:02.745323Z digest=sha256:2c0e0b51efabb324d6f39cf3947daa6762ce0fc4dcfcf4b6509c578cb75dd2a8

Observation cae1cf1a-4e43-4687-9e0e-16b408fa3c36 · inbound

LGQ: Learnable Geometric Quantization for Image Tokenization cites this paper.

LGQ: Learnable Geometric Quantization for Image Tokenization Restructuring Vector Quantization with the Rotation Trick

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T22:43:26.970075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:43:26.970075Z digest=sha256:7b67deba4c294ab0b15ff3b3fbb7457d1cee4a07ecbcfd50b77044f8e4b3f416

Observation 64ebff6d-6836-49b0-8e8a-079518105588 · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs Restructuring Vector Quantization with the Rotation Trick

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:49.033344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T18:06:01.684713Z digest=sha256:6d38caa545048bf9d3f7333e7d1dc195928fc08589eb286278616887352500c9

Observation cc728431-16f8-4fec-9313-0927be61259d · inbound

Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation cites this paper.

Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation Restructuring Vector Quantization with the Rotation Trick

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-31T23:08:07.987419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:08:07.987419Z digest=sha256:06e10f7fd0ab0ef6d3e4a997a39ddfc500b254a2dc72cc41f456bb9f712de3ff