Paper Citation Record · LEDGER

Efficient Large Language Models: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 inbound Pith citation observations for arXiv:2312.03863.

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

pith.paper-citation-record.v1
2312.03863 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:26:18.959612Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

24
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f881ece7-0004-402a-a558-b6a8cdfae25a · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Efficient Large Language Models: A Survey

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.755184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c67e25e3-312e-4b6c-be31-feb3e71905fe · inbound

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

A Survey on Efficient Inference for Large Language Models Efficient Large Language Models: A Survey

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.686744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c916fd0-fe42-40e1-a36c-67926ae38a7d · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap Efficient Large Language Models: A Survey

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:08:20.777408Z

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Observation b7d85cb7-4d73-4e51-bdfd-5863dc4c2aa4 · inbound

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models cites this paper.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Efficient Large Language Models: A Survey

Reference 49

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Observation dc37a957-0548-46d9-ab98-bf9802b373e6 · inbound

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification cites this paper.

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification Efficient Large Language Models: A Survey

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T13:46:11.428921Z

Source-reported events for the cited work

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Observation f94a8adf-9117-452c-8120-defff72b0e5f · inbound

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving cites this paper.

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving Efficient Large Language Models: A Survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:31:40.679447Z

Source-reported events for the cited work

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Observation 3d0d45d0-175c-4d80-830d-6149eb3feeca · inbound

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models cites this paper.

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models Efficient Large Language Models: A Survey

Reference 52

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Source-reported events for the cited work

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Observation d6b78270-85ac-48e4-8724-6d02e4619f28 · inbound

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling cites this paper.

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling Efficient Large Language Models: A Survey

Reference 56

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Observation 0e60339d-5a4a-41cb-b92a-c1acc6c5b01e · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs Efficient Large Language Models: A Survey

Reference 26

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Observation adb9d9d7-c967-4860-a65b-ae619bb15522 · inbound

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models cites this paper.

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models Efficient Large Language Models: A Survey

Reference 19

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Observation 17a2411b-9c09-491b-81e1-c191ed6b30d3 · inbound

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search cites this paper.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Efficient Large Language Models: A Survey

Reference 20

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Observation b0b4398d-94be-4292-9c31-18049f43db74 · inbound

Semantic Scheduling for LLM Inference cites this paper.

Semantic Scheduling for LLM Inference Efficient Large Language Models: A Survey

Reference 2019

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Observation 9fedacd3-5301-4453-b94f-2a3702bf1170 · inbound

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning cites this paper.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Efficient Large Language Models: A Survey

Reference 16

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Observation 957296a5-1acc-4ae2-932a-265bc358080a · inbound

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models cites this paper.

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models Efficient Large Language Models: A Survey

Reference 40

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Source-reported events for the cited work

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Observation 944abb55-8cab-4d86-a9a0-aec39d7abd7e · inbound

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection cites this paper.

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection Efficient Large Language Models: A Survey

Reference 42

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Source-reported events for the cited work

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Observation f98ecfeb-3a36-4d30-8512-c444a8fa88ca · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Efficient Large Language Models: A Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T12:52:01.691397Z

Source-reported events for the cited work

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Observation 07f81e60-1143-420b-a45b-ddb6c846cfe2 · inbound

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium cites this paper.

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium Efficient Large Language Models: A Survey

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:52:21.884286Z

Source-reported events for the cited work

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Observation 6a2f46ae-f827-4651-bef0-7063865becd7 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning Efficient Large Language Models: A Survey

Reference 123

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Source-reported events for the cited work

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Observation 937bf638-f0a6-42ee-acb6-fdacb1b4cc1d · inbound

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models cites this paper.

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models Efficient Large Language Models: A Survey

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:40:46.217656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b288f5e-17fc-4319-afdf-832d40031302 · inbound

Triplet Feature Fusion for Equipment Anomaly Prediction : An Open-Source Methodology Using Small Foundation Models cites this paper.

Triplet Feature Fusion for Equipment Anomaly Prediction : An Open-Source Methodology Using Small Foundation Models Efficient Large Language Models: A Survey

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:56:40.989807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 546db393-9dfb-4383-89c5-c9a5750d74af · inbound

CLIP-RD: Relative Distillation for Efficient CLIP Knowledge Distillation cites this paper.

CLIP-RD: Relative Distillation for Efficient CLIP Knowledge Distillation Efficient Large Language Models: A Survey

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.886951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da83b55e-56eb-4dc7-abad-db8ccbd05f43 · inbound

Unified Deployment-Aware Evaluation of Open Reasoning Language Models cites this paper.

Unified Deployment-Aware Evaluation of Open Reasoning Language Models Efficient Large Language Models: A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:01:01.270847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 82689292-8553-48f8-bda0-2e92b5a88ca2 · inbound

Unified Deployment-Aware Evaluation of Open Reasoning Language Models cites this paper.

Unified Deployment-Aware Evaluation of Open Reasoning Language Models Efficient Large Language Models: A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:44:05.726912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b92a5b2-d53e-4cbb-90aa-981378b81a51 · inbound

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda cites this paper.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Efficient Large Language Models: A Survey

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.836748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3494371a-1bef-4b0d-86cf-5492daf91652 · inbound

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces cites this paper.

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces Efficient Large Language Models: A Survey

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:45:40.935533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 780515ae-7217-4263-b25d-88c6ac02bdf5 · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization Efficient Large Language Models: A Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:44.243755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4086864-4fc8-4b4f-9fe9-fa9cefeb88a2 · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization Efficient Large Language Models: A Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:18.166123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77eccf07-7179-4649-bec5-97c8f97a3884 · inbound

Continuous Latent Diffusion Language Model cites this paper.

Continuous Latent Diffusion Language Model Efficient Large Language Models: A Survey

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:10.544287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f3178b3-5611-41c9-9c58-43cdd5293b41 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Efficient Large Language Models: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:27.575343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 433bdf12-0e1b-4f04-b5f3-93caea3d0838 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Efficient Large Language Models: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:45:45.467485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b641f171-32e8-480c-af79-a60632b11f34 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Efficient Large Language Models: A Survey

Reference 15

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Observation 51e8d4f7-ff39-4b93-a88a-86c1aafbf229 · inbound

When is Warmstarting Effective for Scaling Language Models? cites this paper.

When is Warmstarting Effective for Scaling Language Models? Efficient Large Language Models: A Survey

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:02:53.104922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 749b13f2-b228-4628-82b8-580fce174359 · inbound

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents cites this paper.

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents Efficient Large Language Models: A Survey

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:49:53.649954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1b11fb2-fafe-485f-b572-1976f07f659b · inbound

Latent Action Reparameterization for Efficient Agent Inference cites this paper.

Latent Action Reparameterization for Efficient Agent Inference Efficient Large Language Models: A Survey

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06f91f01-caa1-4730-9b11-03040e86f958 · inbound

EmbGen: Teaching with Reassembled Corpora cites this paper.

EmbGen: Teaching with Reassembled Corpora Efficient Large Language Models: A Survey

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:38:05.506945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd89a295-a623-4263-a8e0-fa0fd2fc7cda · inbound

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs cites this paper.

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs Efficient Large Language Models: A Survey

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.850168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5897d9cf-d54e-4d8d-82d6-ba32d7bd5766 · inbound

Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment cites this paper.

Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment Efficient Large Language Models: A Survey

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.588198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf4af32d-1f4e-4508-8baf-1ea91200213a · inbound

Dynamic Linear Attention cites this paper.

Dynamic Linear Attention Efficient Large Language Models: A Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:39.795371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b7b1267-ff4b-4dbc-a978-b1bd9d5c8332 · inbound

Recency/Frequency Adaptive KV Caching for Large Language Model Serving cites this paper.

Recency/Frequency Adaptive KV Caching for Large Language Model Serving Efficient Large Language Models: A Survey

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:29:39.052734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9901a9a7-6210-4689-863a-a02f9fad655a · inbound

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks cites this paper.

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks Efficient Large Language Models: A Survey

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:52.913147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f5c11cf-8d01-4d77-9088-2b6d03f17395 · inbound

BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding cites this paper.

BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding Efficient Large Language Models: A Survey

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:55:41.384304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 229976d7-c436-4347-81a0-fa0ab7f87b43 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Efficient Large Language Models: A Survey

Reference 117

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:36:44.270544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b70e6bcf-a08e-4646-8684-be985470a96c · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy Efficient Large Language Models: A Survey

Reference 245

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Source-reported events for the cited work

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Observation 399498e4-c7cc-4f3e-bdcb-93978b1ec766 · inbound

Token Reduction Is Not Cost Reduction cites this paper.

Token Reduction Is Not Cost Reduction Efficient Large Language Models: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T06:45:14.741063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db817337-0139-4590-ad76-a8058ee2b9cf · inbound

Token Reduction Is Not Cost Reduction cites this paper.

Token Reduction Is Not Cost Reduction Efficient Large Language Models: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T04:23:31.693317Z

Source-reported events for the cited work

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Observation 7f446d23-3496-4481-ab49-d225a2486905 · inbound

CHS-SQL: A Text-to-SQL approach based on Confidence-Guided Heuristic Search Schema Linking process cites this paper.

CHS-SQL: A Text-to-SQL approach based on Confidence-Guided Heuristic Search Schema Linking process Efficient Large Language Models: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T11:00:12.321867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.