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Paper Citation Record · LEDGER

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2401.00625.

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

pith.paper-citation-record.v1
2401.00625 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:51:04.437385Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

39
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ff525023-aa80-45e6-bb1d-b9b1c14d02a2 · 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 Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.751723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:aa01cbc6470e0b1ac9332b692aab05149b9a1f23e9ce1b76cd137f754e561dcd

Observation 80624545-f02a-488b-844a-b74c8ad7740c · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 36

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arxiv_id, observed 2026-05-23T21:55:50.371669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:7ce5e390b0e928c2cea5463ff5ce9ed0291fa6c1da6b48fe8fee146abee78089

Observation 7cd5cc8c-12a3-4e42-97fc-6d93e7143ee9 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-11T12:44:35.114286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:44:35.114286Z digest=sha256:c81f6b24a7bddb5547c2a877505384efa23e80d034c61c5813bf9e6ad168c7c0

Observation d91e5bba-3d90-43e1-bfcf-e65f9d3bf099 · inbound

ICPC: In-context Prompt Compression with Faster Inference cites this paper.

ICPC: In-context Prompt Compression with Faster Inference Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 2

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unresolved
no resolver link, observed 2026-08-10T22:28:06.840986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:28:06.840986Z digest=sha256:d168086ec12a1a12db33b5bd447a03834b2a9ccb4cbc8f473310848dedc12ade

Observation 78aa6827-b438-4861-bb19-31fcbeef75c7 · inbound

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference cites this paper.

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 21

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verified exact
arxiv_id, observed 2026-05-23T00:07:17.320506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T00:05:26.205947Z digest=sha256:c66bb6b578bf5700f729f89fdbeb246b98f7b69d327fb3349d69870819e2adf5

Observation 775ed158-bfdf-4f50-88f7-6a269a515361 · inbound

The Rise of Small Language Models in Healthcare: A Comprehensive Survey cites this paper.

The Rise of Small Language Models in Healthcare: A Comprehensive Survey Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 12

Resolution
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no resolver link, observed 2026-08-16T10:51:04.437385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:51:04.437385Z digest=sha256:eafb9f1de3392b30936e0746833069d28e0f1409c1768cf63aad5f07f01e52d5

Observation a019d1c3-53cb-437e-b95b-39da7b8f67a9 · inbound

Resource-Efficient Language Models: Quantization for Fast and Accessible Inference cites this paper.

Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 5

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no resolver link, observed 2026-08-15T21:55:07.601565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:07.601565Z digest=sha256:ded9d20b0cec6e65923eb59a8e1ab1527a2d3d85ac324ea8ebe49cee8ff8955d

Observation 37be1ec0-ffc4-4329-ae96-7dcbefb0419f · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:33.166455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:13:33.166455Z digest=sha256:dfe8da5139660489146ffd76d24a6f97a3708229214491f9d5352680caa6d44d

Observation d1deea97-6f15-4f39-bd23-c5e60d46039f · inbound

LatentLLM: Attention-Aware Joint Tensor Compression cites this paper.

LatentLLM: Attention-Aware Joint Tensor Compression Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 2

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no resolver link, observed 2026-08-07T14:36:25.329311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:36:25.329311Z digest=sha256:328609314b26327e90db731133e7073a68dd703ea13e34b83b95bc072e497923

Observation eef45565-0a43-42b4-9a08-abf148bccbae · inbound

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts cites this paper.

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 4

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no resolver link, observed 2026-08-07T14:34:13.798057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:13.798057Z digest=sha256:b54cc82a2512cd6bb77b06606d95d9f24fbcb6c9a2aa598119d09e64e0df9780

Observation 5e8ed8fa-1544-40d7-b95d-3d65bd8a07dd · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 20

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no resolver link, observed 2026-08-07T05:56:56.754256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:56.754256Z digest=sha256:0ef5b353a062920b8fd23622685e27b6b8cb97f3824c2e4615ee02e6cebafd54

Observation 59e8d1da-3de0-44d2-b20f-4f28b13ed79a · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 16

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no resolver link, observed 2026-08-06T21:36:23.167066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:23.167066Z digest=sha256:973b46bff7e9d50d3a88cc139b54be097503b4ea5d4d8724773f11848e764bbf

Observation 313d1b89-2735-4545-a1ff-64da0864ee21 · inbound

Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding cites this paper.

Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 3

Resolution
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no resolver link, observed 2026-08-06T17:54:16.723683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:16.723683Z digest=sha256:47c6872df1843420bdc6360ed4bd3762b1db5304eb70e387afcfe33106b1f4dd

Observation 5f9e9fc9-d300-46c9-b166-d826846c8561 · inbound

AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation cites this paper.

AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T06:04:29.181087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:04:29.181087Z digest=sha256:c99e9adc814b5a3bb8e8d0a8912f902f23268580aaab133fee28f8da0f1c8f5b

Observation 26777e04-4dac-41cf-82cc-49bc4d32ffb1 · inbound

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning cites this paper.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 21

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unresolved
no resolver link, observed 2026-08-04T22:38:09.720726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.720726Z digest=sha256:5331541acee613c47426cd39ad7ab79ffdc4d3ea7518df5dd9edf274aa4c800e

Observation a3a4ba4d-06ed-44dc-b5b9-121d4abb2a9d · inbound

Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures cites this paper.

Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:36:03.503300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:33:59.777818Z digest=sha256:4ca734893b575042f29fa80c38802b7d4749c750ec77259c2d636ca4177e467f

Observation abe83f55-4b25-46fc-b589-bc0e579399eb · inbound

HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation cites this paper.

HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 12

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no resolver link, observed 2026-07-12T23:32:59.467653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T23:32:59.467653Z digest=sha256:f4724200a159f7dac66d17ba1b7f8cdf42dc02d3ca53906137d683b7da78fcd2

Observation d75876c6-f364-4b18-a927-21a18225fe07 · inbound

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization cites this paper.

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.835844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T23:01:56.712670Z digest=sha256:5d1573eee416fcaaadb2b57726f57d76fa3f83acced132351c784addf06a3091

Observation cf5a809b-9aa4-471f-9f38-38d911cc4597 · inbound

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities cites this paper.

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 10

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verified exact
arxiv_id, observed 2026-05-11T20:16:10.414840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T09:45:57.201837Z digest=sha256:d15edf8f724bc287056da982048a75a4eb46cfa2550fd76df1e33049a0ea935b

Observation 2a832d3c-7675-449e-8725-54d1a26b1df1 · inbound

Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling cites this paper.

Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-11T23:31:16.131002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T16:50:41.228028Z digest=sha256:734b030ee8b27280eeb5e6a17abf93c7f277d0f2e268642677edd615696a35f8

Observation 71af2474-9913-47e3-bd93-870d4908b625 · inbound

Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling cites this paper.

Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 1

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metadata mismatch
arxiv_id, observed 2026-07-01T09:25:40.285011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T09:16:20.246360Z digest=sha256:b81a1689aaabc9b94012b9be9418ac626b75c6a6a69ab1a4b3ee4feb26a8fe2b

Observation 9bb287d6-8117-4ed7-9f07-acf6ba799b39 · inbound

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery cites this paper.

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 6

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verified exact
arxiv_id, observed 2026-05-19T15:27:38.748090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T15:26:10.303773Z digest=sha256:38da36b24029db5c7c12c2cef3bc2e1dcceafacc1c524d9ae3d445135e6a5b7e

Observation d0cb886f-1103-41cc-8bc7-5dd588a6519c · inbound

MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models cites this paper.

MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 16

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metadata mismatch
arxiv_id, observed 2026-07-02T06:56:44.613893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T07:16:45.665440Z digest=sha256:6fe9d608c763ee456f9ce1a3c5078a88e40fb9efe4f361516a97cac62ea9d778

Observation b1747d63-cc58-4b66-90fa-046b8a7ff847 · inbound

EinSort: Sorting is All We Need for Tensorizing LLM cites this paper.

EinSort: Sorting is All We Need for Tensorizing LLM Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 7

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verified exact
arxiv_id, observed 2026-07-02T23:07:26.494000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T18:31:01.804061Z digest=sha256:b826dbb2f107eb6e6652312cb39e7db876c550b6c9c42baffb7c7ad18c14fa31

Observation 5590f406-36a1-4f7c-a86d-a3dafb892dff · inbound

Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey cites this paper.

Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:07:36.850079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T14:12:14.785572Z digest=sha256:9509058e98d71daa20cc6eedd885f7b95431f28d4f0fed513efa07110bef4644

Observation 5218fa69-40a9-45cd-ad61-e09cd94ed381 · inbound

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 115

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metadata mismatch
arxiv_id, observed 2026-07-01T15:25:48.396988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T01:29:42.919461Z digest=sha256:f91805bb2dea790a62f36a6c80dbeb598ffea22ea4d2de58de0c167ce59cedf4

Observation a1676db1-6079-4001-8d51-2da8faf011ae · inbound

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs cites this paper.

LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System Designs Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-15T14:55:56.381697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:55:56.381697Z digest=sha256:ca3c7dc29f9ffeef9b7ef668753c96c867037486170514dce169f217106938bb

Observation 2bd67727-e064-4d89-a980-40590cf20435 · inbound

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies cites this paper.

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 165

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no resolver link, observed 2026-08-06T14:54:47.893725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:47.893725Z digest=sha256:19314b045ee4baa2767ae6276730f017ae85eb4846767ea0a39cceab9e695466