Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 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 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:22.910150Z

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
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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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

Observation cca38215-c432-4a77-8c2a-d939c5af346a · inbound

RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts cites this paper.

RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T20:32:31.794281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd36266-ceea-4be3-a9e3-f06f940be680 · inbound

FineGates: LLMs Finetuning with Compression using Stochastic Gates cites this paper.

FineGates: LLMs Finetuning with Compression using Stochastic Gates QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:37:39.098228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed3ed193-b841-468c-a818-8d2af5f9278d · inbound

Deploying Foundation Model Powered Agent Services: A Survey cites this paper.

Deploying Foundation Model Powered Agent Services: A Survey QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 213

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:46.759418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a58c172-a99b-42c0-9937-bbe030d036f8 · inbound

AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning cites this paper.

AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T11:24:12.204095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2568a7f1-d0a7-451a-8750-1fcb422db3e3 · inbound

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection cites this paper.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:38.688555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bcc3a3c-357e-4db5-975d-e37a180faafb · inbound

A Survey of Secure Semantic Communications cites this paper.

A Survey of Secure Semantic Communications QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 250

Resolution: unresolved; no resolver link, observed 2026-08-10T22:44:12.378681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a3c3db-118e-45a9-aafe-1d88fc7a4587 · inbound

PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks cites this paper.

PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T20:13:43.275569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a1196a-9508-4ac8-8f35-504f2110c370 · inbound

Reward-Guided Speculative Decoding for Efficient LLM Reasoning cites this paper.

Reward-Guided Speculative Decoding for Efficient LLM Reasoning QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T20:42:44.396702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1edc1ec-7343-44a5-9fb5-0ea280c060f5 · inbound

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records cites this paper.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:06:22.910150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80554108-fbc6-4a5f-994a-434e4d1a2012 · inbound

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis cites this paper.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:42.275560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9742b43-af9b-4dc1-b7a5-ac1512aacfa2 · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:47.477726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f90d2ea-fc5a-43d2-8ffd-aeaa9008c809 · inbound

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution cites this paper.

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:44.597682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97fa5196-3d37-48a5-9453-89f73c4bf1e8 · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:31.362249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5989eb1-5204-44dd-a71e-56342f331c03 · inbound

Pruning General Large Language Models into Customized Expert Models cites this paper.

Pruning General Large Language Models into Customized Expert Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:16.305418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289ff14b-bc35-4733-ae33-54f1fb574b65 · inbound

FPTQuant: Function-Preserving Transforms for LLM Quantization cites this paper.

FPTQuant: Function-Preserving Transforms for LLM Quantization QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:45.821751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56838325-0136-47d9-a8c0-582bab515fe5 · inbound

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models cites this paper.

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:00:19.617930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3a095f-eda8-41a2-a546-7817e53568a1 · inbound

SiLQ: Simple Large Language Model Quantization-Aware Training cites this paper.

SiLQ: Simple Large Language Model Quantization-Aware Training QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:29.673002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e66f8373-0d84-44a7-b1eb-d518d337be62 · inbound

LOST: Low-rank and Sparse Pre-training for Large Language Models cites this paper.

LOST: Low-rank and Sparse Pre-training for Large Language Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:20.054800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218ca83a-32e5-47f8-aef5-3f8ff7839512 · inbound

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs cites this paper.

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T15:52:45.062597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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.

Observation f8fb55e8-16fd-4ce7-89b2-fb11e91d9ad7 · inbound

Beyond Peak TOPS/W: A System-Level Perspective on Hybrid Digital, Analogue and Neuromorphic Computing cites this paper.

Beyond Peak TOPS/W: A System-Level Perspective on Hybrid Digital, Analogue and Neuromorphic Computing QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:37:20.052428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.