Paper Citation Record · LEDGER

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2504.17674.

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

pith.paper-citation-record.v1
2504.17674 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:00.675817Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:37:43.416980Z

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 f6ef9b75-2a1c-41b8-abfb-c2d8948ced19 · inbound

Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models cites this paper.

Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:00.675817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2659cf1c-2787-4e2f-b3c1-45c1bc773db3 · inbound

SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference cites this paper.

SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:07:29.575976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1585c774-c5da-4d80-9733-b2db6a8435b2 · inbound

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters cites this paper.

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:47:28.103957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54102425-09cb-4d7c-8149-94895f42528c · inbound

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint cites this paper.

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:31:12.829065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d1ef11b-5ba8-4d31-bd2a-8bf2148ce4b1 · inbound

Identifying unique developers in OSS projects: A family of models cites this paper.

Identifying unique developers in OSS projects: A family of models Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:25.516323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa3fb8af-56a6-4efd-961a-ea73c076ad4e · inbound

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot cites this paper.

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:37:43.418548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64499b51-b0ab-41a1-9a5d-c39db4eee2ae · inbound

SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework cites this paper.

SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:57:16.343774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 00b67796-1d1f-49f9-abfb-65b9b1e2ab04 · inbound

Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption cites this paper.

Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T17:26:24.553591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a4c417-3b9e-4945-a8d9-79410dab9447 · inbound

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations cites this paper.

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T04:56:20.002453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d5f2d1e-6e17-471a-a9aa-c581c8b6c019 · inbound

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations cites this paper.

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T07:43:19.800820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 864d0f73-d741-404a-a78c-ab3b0ebe7e00 · inbound

Unified Static-Dynamic Pruning for Efficient LLM Inference cites this paper.

Unified Static-Dynamic Pruning for Efficient LLM Inference Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T06:18:40.782167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.