Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T23:32:59.467653Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: verified exact; 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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.

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 2026-08-04T06:34:03.388597+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.

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 2026-08-04T06:34:03.388597+00:00.

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

Resolution: 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 2026-08-04T06:34:03.388597+00:00.