Paper Citation Record · LEDGER

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2504.20348.

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

pith.paper-citation-record.v1
2504.20348 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:34:52.022267Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:40:09.312349Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:40:09.943647Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy15
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fa24578-3d62-4562-8111-726d9321c277 · outbound

This paper cites Less is More: Optimizing Function Calling for LLM Execution on Edge Devices.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Less is More: Optimizing Function Calling for LLM Execution on Edge Devices

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:34:51.938437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d340813-db9e-4c3f-804a-5ec796b140ad · outbound

This paper cites Gorilla: Large language model connected with massive apis,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Gorilla: Large language model connected with massive apis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.343886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95d435f0-9895-4f5d-85b1-a680817fac23 · outbound

This paper cites LLM Inference Unveiled: Survey and Roofline Model Insights.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:34:51.947676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abfccbd4-fd89-4b46-80c6-303a517c8b81 · outbound

This paper cites Mapformer: Attention-based multi- dnn manager for throughout & power co-optimization on embedded devices,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Mapformer: Attention-based multi- dnn manager for throughout & power co-optimization on embedded devices,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.332602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1242d18-ee74-4e40-919a-b28b968f8d92 · outbound

This paper cites Carboncast: multi-day forecasting of grid carbon inten- sity,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Carboncast: multi-day forecasting of grid carbon inten- sity,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.321207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 71af6596-1dd7-4056-b3ad-82c375529f02 · outbound

This paper cites Sustainable ai: Environmental implications, challenges and opportunities,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Sustainable ai: Environmental implications, challenges and opportunities,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.308967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe5b22a5-eee4-408c-b123-dbc09a1ba941 · outbound

This paper cites Act: Designing sustainable computer systems with an architectural carbon modeling tool,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Act: Designing sustainable computer systems with an architectural carbon modeling tool,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.297466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89a0e5de-a692-4c66-8407-dd035b2b8723 · outbound

This paper cites Clover: Toward sustainable ai with carbon-aware ma- chine learning inference service,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Clover: Toward sustainable ai with carbon-aware ma- chine learning inference service,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.285492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36c1d0aa-99c7-4ce1-98a0-042d42b6b37f · outbound

This paper cites Pulse: Using mixed-quality models for reducing serverless keep-alive cost,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Pulse: Using mixed-quality models for reducing serverless keep-alive cost,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.273660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0d24c49-9c69-45a4-8c61-ad8cf5a4e797 · outbound

This paper cites Edgellm: Fast on-device llm inference with speculative decoding,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Edgellm: Fast on-device llm inference with speculative decoding,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.261663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3483c54-4b7e-4c53-9f3d-d680c67ed5f3 · outbound

This paper cites Llm-dcache: Improving tool-augmented llms with gpt- driven localized data caching,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Llm-dcache: Improving tool-augmented llms with gpt- driven localized data caching,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.249279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7c18e028-7f0b-45ff-8cec-c22d62e5c6cf · outbound

This paper cites Llms in the imaginarium: Tool learning through simulated trial and error,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Llms in the imaginarium: Tool learning through simulated trial and error,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.237009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7099a9f5-f49a-4816-8733-2507a10115a4 · outbound

This paper cites ToolLLM: Facilitating large language models to master 16000+ real-world APIs,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices ToolLLM: Facilitating large language models to master 16000+ real-world APIs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.223959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11a06e57-0be4-4f28-80a8-00194c3d230c · outbound

This paper cites TinyAgent: Function Calling at the Edge.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices TinyAgent: Function Calling at the Edge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:34:51.993253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5095f6d1-e063-46a1-b033-957040ca6f81 · outbound

This paper cites Dynamollm: Designing llm inference clusters for performance and energy efficiency,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Dynamollm: Designing llm inference clusters for performance and energy efficiency,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:34:51.997466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77368ae5-545a-4754-9d25-37dba69cfb07 · outbound

This paper cites GreenScale: Carbon-Aware Systems for Edge Computing.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices GreenScale: Carbon-Aware Systems for Edge Computing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:34:52.001444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2654e8-f68f-4b50-856f-e2d2c58463a2 · outbound

This paper cites A carbon-aware framework for energy-efficient data acquisition and task offloading in sustainable aiot ecosystems,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices A carbon-aware framework for energy-efficient data acquisition and task offloading in sustainable aiot ecosystems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.210988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdeb3bd2-69d7-4aee-b6f1-d0240d2461c7 · outbound

This paper cites Readability classification with wikipedia data and all-minilm embeddings,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Readability classification with wikipedia data and all-minilm embeddings,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.197758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2841a560-b192-4eb2-98b6-20f011eaa012 · outbound

This paper cites The Faiss library.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices The Faiss library

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:34:52.014261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0ef355-0178-4668-97ed-55064894b5b0 · outbound

This paper cites A survey on deep learning for named entity recognition,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices A survey on deep learning for named entity recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.185360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2666fdd-7414-430b-be9b-b0ef85824145 · outbound

This paper cites Berkeley function calling leaderboard,.

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Berkeley function calling leaderboard,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:34:52.172630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation dd68601a-5ae5-49aa-8621-99292003ac4f · inbound

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers cites this paper.

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:40:10.031830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.