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Paper Citation Record · LEDGER

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:36:17.845075Z

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 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.

source=arxiv_source observed=2026-08-09T19:36:17.845075Z digest=sha256:a18bfecc235bfe49728c9a9aa0d6ac77f68ff7832f7ce214a518bea5f73d9c7e

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.

source=pdf_text observed=2026-08-08T10:26:45.495050Z digest=sha256:768e1f7b717e12f081968bca06fc7e7a59832b2f439851358ada77991d8f0764

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.

source=pdf_text observed=2026-08-07T05:35:01.400901Z digest=sha256:622cd9d62a171b73a5474f045c84c7b39555af6da49f1fb58d7b2ee51c62e5fa

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.

source=arxiv_source observed=2026-08-06T23:12:14.211864Z digest=sha256:65bdd173ab3b72129a4497cd1944c72d31eac2d90ff2f0592a561782c6caac3e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:54:33.242646Z digest=sha256:d05d6eec62a96f3bd08762a423f665d5ad7f65feef53d858b2f33e52dbdd20de

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.

source=arxiv_source observed=2026-08-08T17:54:40.232766Z digest=sha256:14c70b977f808591f18b7c5ebbaec0084d7a6350ed6af8499586ba8b5b8af706