Paper Citation Record · LEDGER

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator

As of 23 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.19135.

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

pith.paper-citation-record.v1
2501.19135 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:18:14.570126Z

measured 27 of 27 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy16
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6825762-ab23-4257-a1a5-5e91f11afbaa · outbound

This paper cites Imagenet large scale visual recognition challenge,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Imagenet large scale visual recognition challenge,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.448471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f581ce-6a6e-47a6-a7bd-e78e75a76658 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Fully convolutional networks for semantic segmentation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.452875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc0f1a8-3182-4464-9667-79e1e8c23487 · outbound

This paper cites Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.960050Z

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.

Observation e71464ed-242a-4926-81ff-3bafa3e70ed4 · outbound

This paper cites Attention is all you need,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Attention is all you need,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.461746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0e18022-27f5-41ec-b79e-f149d823311f · outbound

This paper cites A high performance multi-bit-width booth vector systolic accelerator for nas optimized deep learning neural networks,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator A high performance multi-bit-width booth vector systolic accelerator for nas optimized deep learning neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.941195Z

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.

Observation fb2160e0-b504-4940-8db3-9f1ca44759b5 · outbound

This paper cites Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.928990Z

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.

Observation 8a0dd5d9-277e-4d29-bb28-98793ec4b6b5 · outbound

This paper cites A high throughput multi-bit-width 3d systolic accelerator for nas optimized deep neural networks on fpga,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator A high throughput multi-bit-width 3d systolic accelerator for nas optimized deep neural networks on fpga,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.917393Z

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.

Observation cb420153-101e-489c-a52b-89651f6f6990 · outbound

This paper cites Lamps: A layer-wised mixed-precision-and- sparsity accelerator for nas-optimized cnns on fpga,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Lamps: A layer-wised mixed-precision-and- sparsity accelerator for nas-optimized cnns on fpga,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.906365Z

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.

Observation 7a133904-5124-4b8e-b779-3bdb40ce2153 · outbound

This paper cites Optimizing fpga-based accelerator design for deep convolutional neural networks,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Optimizing fpga-based accelerator design for deep convolutional neural networks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.485437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4de2948-7a77-4c8c-bb17-0a1ce5310cb6 · outbound

This paper cites Mix and match: A novel fpga-centric deep neural network quantization framework,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Mix and match: A novel fpga-centric deep neural network quantization framework,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.888297Z

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.

Observation 18b7cea0-bf10-403f-bf05-4a530ce759ac · outbound

This paper cites APTQ: Attention-aware post-training mixed-precision quantization for large language models,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator APTQ: Attention-aware post-training mixed-precision quantization for large language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.494554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a70a15-1d96-4aa2-9cfa-858b51815af4 · outbound

This paper cites Agile hardware and software co-design for risc-v-based multi-precision deep learning mi- croprocessor,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Agile hardware and software co-design for risc-v-based multi-precision deep learning mi- croprocessor,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.876872Z

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.

Observation 3c09eb9f-41e5-4bc6-bfca-2161a83b3162 · outbound

This paper cites Omni: A framework for integrating hard- ware and software optimizations for sparse cnns,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Omni: A framework for integrating hard- ware and software optimizations for sparse cnns,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.865000Z

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.

Observation ab1c0210-f53a-4069-b345-a2bfb32266f2 · outbound

This paper cites Tensor-train decomposition,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Tensor-train decomposition,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.511973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2604e85-2f14-4aa9-a762-b8854f0caa6e · outbound

This paper cites Tensorizing neural networks,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Tensorizing neural networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.516287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acdd0ca1-5796-493b-8f03-e676baf72f2d · outbound

This paper cites Ranksearch: An automatic rank search towards optimal tensor compression for video lstm networks on edge,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Ranksearch: An automatic rank search towards optimal tensor compression for video lstm networks on edge,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.837026Z

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.

Observation e1f8debc-b5d0-43c8-8fa3-953cc8aaf4f6 · outbound

This paper cites Deepeye: A deeply tensor-compressed neural network hardware accelerator,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Deepeye: A deeply tensor-compressed neural network hardware accelerator,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.825462Z

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.

Observation 364904e6-da30-4066-af9b-fc416776b7ab · outbound

This paper cites Fmtt: Fused multi-head transformer with tensor-compression for 3d point clouds detection on edge devices,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Fmtt: Fused multi-head transformer with tensor-compression for 3d point clouds detection on edge devices,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.809462Z

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.

Observation 2a7d2a99-f026-44e4-9807-4b7fbe5b6d33 · outbound

This paper cites GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.533483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b25735e7-a252-4b13-9ae3-06d69d999f3c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.538307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac4f4315-5216-40bc-b0f9-5bc52c087081 · outbound

This paper cites An integer- only and group-vector systolic accelerator for efficiently mapping vision transformer on edge,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator An integer- only and group-vector systolic accelerator for efficiently mapping vision transformer on edge,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.543484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b3e50c-c3e1-44d9-9e55-65459b571fc7 · outbound

This paper cites Near-precise parameter approximation for multiple multiplications on a single dsp block,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Near-precise parameter approximation for multiple multiplications on a single dsp block,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.777572Z

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.

Observation 173a0007-3144-4de6-9f5d-6816561d47f8 · outbound

This paper cites Multi-bit-width cnn accelerator with systolic-in-systolic dataflow and single dsp mul- tiple multiplication scheme,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Multi-bit-width cnn accelerator with systolic-in-systolic dataflow and single dsp mul- tiple multiplication scheme,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.763550Z

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.

Observation 149dc388-f9d9-4fb0-85bc-9920c54db1bf · outbound

This paper cites Dual-line-systolic array for high performance cnn accelerator,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Dual-line-systolic array for high performance cnn accelerator,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.746639Z

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.

Observation aa66d089-4421-4471-9aa5-9fae13676cdc · outbound

This paper cites Flightllm: Efficient large language model inference with a complete mapping flow on fpgas,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Flightllm: Efficient large language model inference with a complete mapping flow on fpgas,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T21:18:14.562003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989ba721-cd78-4aee-b365-897e81329197 · outbound

This paper cites C-eval: A multi-level multi- discipline chinese evaluation suite for foundation models,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator C-eval: A multi-level multi- discipline chinese evaluation suite for foundation models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.724794Z

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.

Observation 93cfb444-9932-4b56-be64-a10c8a7e9709 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:18:14.710841Z

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.

Pith citing papers

No inbound Pith citation observations are available.