Paper Citation Record · LEDGER

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2309.14717.

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

pith.paper-citation-record.v1
2309.14717 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:38:33.666477Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T11:37:03.182977Z

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 f8fcc81d-aa41-47bd-b11a-53fd2c4f3cfc · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:37.156870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 656b9817-33ef-4acb-88f7-65bb056ab7ab · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 190

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.192502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3dc4a398-a4bf-4f05-9d6e-e26b650b77d4 · inbound

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation cites this paper.

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T10:38:33.666477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91df60e2-4111-4016-a00e-460c271eda5b · inbound

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models cites this paper.

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:14:12.360081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5845351-926a-4af6-9923-1993eff8011f · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 112

Resolution: unresolved; no resolver link, observed 2026-07-13T23:28:12.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45844ae-24a4-4c87-991f-398d2408da4b · 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 QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:28:14.268860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e93a339-31f5-4efb-8fcc-bb0abdf72f95 · inbound

Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM cites this paper.

Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:30.836917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e3b344d1-29fd-49f8-bd58-42262bc5a355 · inbound

Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization cites this paper.

Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:54:02.614823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 98faf7c9-1a17-4dec-b7fe-642d31f1bf6e · inbound

CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models cites this paper.

CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:11:17.193577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 040a998c-6e77-498a-908d-36b04eece34e · inbound

CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models cites this paper.

CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:58.153358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 907d3b73-ce41-4ea5-b476-9643df291158 · inbound

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation cites this paper.

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.411438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 910f110f-875b-42e6-871a-77343f9c82f5 · inbound

Dive Into the Implicit Biases of Low-rank Vision-language Alignment cites this paper.

Dive Into the Implicit Biases of Low-rank Vision-language Alignment QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.184634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a63cb43d-77fd-4f1c-acaf-3425542187b4 · inbound

Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRA cites this paper.

Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRA QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T07:57:29.517903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326050ba-81e7-4cd3-b0a2-202cf944cebf · inbound

\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating cites this paper.

\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T04:37:44.928470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.