Paper Citation Record · LEDGER

CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2401.14109.

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

pith.paper-citation-record.v1
2401.14109 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:37:17.739610Z

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

8
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 9395cb4a-6b16-47f2-9e11-7a167341f909 · inbound

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms cites this paper.

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:29:00.663091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bfaa2008-3077-40f2-81db-e69fb1faaeac · inbound

Quantum-enhanced unsupervised image segmentation for medical images analysis cites this paper.

Quantum-enhanced unsupervised image segmentation for medical images analysis CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:37:17.739610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8946e4a9-e724-4794-affe-0c61808bae44 · inbound

No-Free-Lunch Theories for Tensor-Network Machine Learning Models cites this paper.

No-Free-Lunch Theories for Tensor-Network Machine Learning Models CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T20:38:17.025732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a43b6bf-1aec-422c-a8d6-209b17903938 · inbound

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning cites this paper.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.889497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c98da014-1a11-4328-b6bc-c1dce0cb6e87 · inbound

A tensor network approach for chaotic time series prediction cites this paper.

A tensor network approach for chaotic time series prediction CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:24.657505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc77e48-4ff2-4ae9-bfe6-0b28644a3211 · inbound

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks cites this paper.

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:56.898944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d21e9e5-24c3-4493-9864-1323b04f4357 · inbound

Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods cites this paper.

Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-06T23:22:03.108518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2f13a1-35c0-40a6-8331-42462960d37a · inbound

Accuracy and Consumption analysis from a compressed model by CompactifAI from Multiverse Computing cites this paper.

Accuracy and Consumption analysis from a compressed model by CompactifAI from Multiverse Computing CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:59.875589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4250cf-6551-4cda-8f3b-444c313a3c29 · inbound

epiGPTope: A machine learning-based epitope generator and classifier cites this paper.

epiGPTope: A machine learning-based epitope generator and classifier CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T11:01:20.065683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec73772a-2db8-4b99-a6a7-38b3b9f23e51 · inbound

Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification cites this paper.

Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:31:44.359328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10c627f3-4e15-4fbe-94ed-9b7718285be4 · inbound

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook cites this paper.

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 162

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:28:14.175930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 11c0054a-3757-4ad9-883e-857cb3c7b7f4 · inbound

Quantum-inspired tensor networks in machine learning models cites this paper.

Quantum-inspired tensor networks in machine learning models CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.122553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6df465ce-e5be-4f21-86bb-a312c2ed60a3 · inbound

Entanglement is Half the Story: Post-Selection vs. Partial Traces cites this paper.

Entanglement is Half the Story: Post-Selection vs. Partial Traces CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:28:57.407962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d3e6956-7ab4-4777-ad54-d64fd2b5a4d9 · inbound

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters cites this paper.

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:36:13.575305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71e3ab63-f2bb-4823-bc26-0bb70a04616f · inbound

Fast Tensorization of Neural Networks via Slice-wise Feature Distillation cites this paper.

Fast Tensorization of Neural Networks via Slice-wise Feature Distillation CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:53:22.960199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7998f7ed-ea00-47bd-9916-d0b6ab1e80ee · inbound

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations cites this paper.

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-31T11:25:39.492776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.