Paper Citation Record · LEDGER

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.05445.

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

pith.paper-citation-record.v1
2402.05445 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 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:42:31.490871Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:54:37.066665Z

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 f088076e-d886-4c7c-a355-982e924c4088 · inbound

BiDM: Pushing the Limit of Quantization for Diffusion Models cites this paper.

BiDM: Pushing the Limit of Quantization for Diffusion Models Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T20:18:10.522269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10cbf498-dbd3-44eb-a1e0-ce62ed2dff9d · inbound

Sparse Gradient Compression for Fine-Tuning Large Language Models cites this paper.

Sparse Gradient Compression for Fine-Tuning Large Language Models Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T19:36:17.845075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5db568-8ec7-4a57-89e1-3398c235b2fd · inbound

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:45.495050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d45665f-d944-4f69-9f20-0198a453f600 · inbound

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding cites this paper.

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:35:01.400901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4a3a02-dc8b-4490-845f-f8dd127c6aca · inbound

Spiritual-LLM : Gita Inspired Mental Health Therapy In the Era of LLMs cites this paper.

Spiritual-LLM : Gita Inspired Mental Health Therapy In the Era of LLMs Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:14.211864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be5d8db-e076-440c-8af5-ea2a27e090f9 · inbound

BiVM: Accurate Binarized Neural Network for Efficient Video Matting cites this paper.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:54:37.173682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65debe20-e871-4d07-80b5-8c2bbedf74ac · inbound

Small Foundation Models of Human Cognition and Behaviour cites this paper.

Small Foundation Models of Human Cognition and Behaviour Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:40.232766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca3ff15f-ff2e-4c1f-a17b-f9a1523ffbf2 · inbound

Small Foundation Models of Human Cognition and Behaviour cites this paper.

Small Foundation Models of Human Cognition and Behaviour Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-11T04:20:16.498579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49658508-d6c3-401f-af52-0edf5fd25d04 · inbound

Small Foundation Models of Human Cognition and Behaviour cites this paper.

Small Foundation Models of Human Cognition and Behaviour Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-15T14:42:31.490871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.