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Paper Citation Record · LEDGER

TQCompressor: improving tensor decomposition methods in neural networks via permutations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.16367.

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

pith.paper-citation-record.v1
2401.16367 v1

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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:48.850342Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:20:45.117138Z

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 6a6dd822-3ea4-4472-93de-2611494d2460 · inbound

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models cites this paper.

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models TQCompressor: improving tensor decomposition methods in neural networks via permutations

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T20:23:59.912217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:23:59.912217Z digest=sha256:df077885a3b866f5057474690e5af41e5e2e020947efd4f0ceefd9886f26bdac

Observation 9ee253a3-543f-4a22-8782-cc6ae3a9b247 · inbound

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations cites this paper.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations TQCompressor: improving tensor decomposition methods in neural networks via permutations

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:20:45.159807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:20:41.133732Z digest=sha256:a1aa292b0562128e878a58d48160b9c1dffe6daa71c3f50226690de17701f3b7

Observation 096d5103-b231-4ff5-9ca9-c6f4788ff257 · inbound

TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices cites this paper.

TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices TQCompressor: improving tensor decomposition methods in neural networks via permutations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:48.850342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:05:48.850342Z digest=sha256:9e5c914d1c14418255fba94ff6049a84811d8a7cebc33e2361deae60a0a01973