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Paper Citation Record · LEDGER

Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.12930.

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

pith.paper-citation-record.v1
2406.12930 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:13:28.064720Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 956306c0-2d7a-408c-bfcb-0b98e6374352 · inbound

Reassessing Layer Pruning in LLMs: New Insights and Methods cites this paper.

Reassessing Layer Pruning in LLMs: New Insights and Methods Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T14:13:28.064720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:13:28.064720Z digest=sha256:e380bb3fecb2f5ebc208ca304a4f8f7ea8b2504b3453148a8733e034fc5c09b5

Observation 3cb3c291-17d4-43ba-978e-724c2a685a19 · inbound

SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision cites this paper.

SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-03T16:38:30.906423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-03T16:35:53.362728Z digest=sha256:944082cfd9c7198b3b320f4ebce76cc46c25b95492668303fc7c1c1bcb89a668