Paper Citation Record · LEDGER

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services

As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2411.18010.

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

pith.paper-citation-record.v1
2411.18010 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:40:21.580351Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy10
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df2d0346-13b5-448c-8f68-0e0760c3818a · outbound

This paper cites Recent advances in natural language processing via large pre-trained language models: A survey,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Recent advances in natural language processing via large pre-trained language models: A survey,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T11:40:21.537519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf513702-cfbd-460f-ad86-5f992baafd52 · outbound

This paper cites LLM-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services LLM-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.719767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7353ae6-d934-46d1-b457-186642817e84 · outbound

This paper cites Large language model enhanced multi-agent systems for 6G communications,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Large language model enhanced multi-agent systems for 6G communications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.711379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a62363b-4fd7-49f6-b49e-f5f94fce20b9 · outbound

This paper cites Efficient prompting for LLM-based generative internet of things,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Efficient prompting for LLM-based generative internet of things,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.702458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11458709-6fd0-43b8-9be7-5647f6fbde62 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Chain-of-thought prompting elicits reasoning in large language models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.693242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a63e8ba4-4575-40f6-8488-00bef93d620d · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Long-context LLMs Struggle with Long In-context Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T11:40:21.552143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c537ae10-f57b-496e-b350-ede7c2b1ecb3 · outbound

This paper cites To repeat or not to repeat: Insights from scaling LLM under token-crisis,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services To repeat or not to repeat: Insights from scaling LLM under token-crisis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.682757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5d6b8fab-029f-4f3a-98e0-fd8f38f4f825 · outbound

This paper cites Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.673475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 956ae524-a7d3-4fe8-8ce4-0dd75b5dfbf8 · outbound

This paper cites LLM-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness,.

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.663978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 911414fe-e58b-4241-b153-8be80d211849 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:40:21.563948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10bf7686-12a0-4383-b7af-b57965eeed3e · outbound

This paper cites LLM-Slice: Dedicated wireless network slicing for large language models,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services LLM-Slice: Dedicated wireless network slicing for large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.655230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28b17597-d225-435c-b3d7-4f967a4a620c · outbound

This paper cites Deeploy: Enabling energy-efficient deployment of small language models on heterogeneous microcontrollers,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Deeploy: Enabling energy-efficient deployment of small language models on heterogeneous microcontrollers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.645752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 42db9c5b-bf40-4fe1-8362-a3d11cf21ad5 · outbound

This paper cites The role of fidelity in goal-oriented semantic communication: A rate distortion approach,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services The role of fidelity in goal-oriented semantic communication: A rate distortion approach,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:40:21.572542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05c839bb-efc1-4bc6-b804-3392ca886304 · outbound

This paper cites LLMCarbon: Modeling the end-to-end carbon footprint of large language models,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services LLMCarbon: Modeling the end-to-end carbon footprint of large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:40:21.632290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8c99915-1b2f-4215-9e88-674f78ca5487 · outbound

This paper cites Deep reinforcement learning with double q-learning,.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Deep reinforcement learning with double q-learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:40:21.577821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09e2d329-fa9d-42f6-bd8a-69d306b9b990 · outbound

This paper cites an unresolved cited work.

JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:40:21.617375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.