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Paper Citation Record · LEDGER

GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.20322.

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

pith.paper-citation-record.v1
2412.20322 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:51.454498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:17:18.469689Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 c8ef7a03-9280-42a3-884a-f5fa155a3a70 · inbound

Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference cites this paper.

Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T13:58:32.269946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:58:32.269946Z digest=sha256:3d4ecfc46c1bb4cf6b0b3f321a843f5495342d91f78cd791376e1bf63035352a

Observation 25e329f0-a30c-48b0-b978-3237bf50ac20 · inbound

Energy Considerations of Large Language Model Inference and Efficiency Optimizations cites this paper.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T10:37:51.454498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.454498Z digest=sha256:b0b17c48fbdffccb6ef6b50e7f0f740d496c8398d39ce47cbf59d47a899daf2c

Observation 6f8d2427-bd5f-4f4d-8901-6884022f0268 · inbound

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting cites this paper.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:10:06.200564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:10:06.200564Z digest=sha256:50af96916aaa77b58bcf4b5533faa20008afc46c60042bce3bf8223e574de3ef

Observation 5dda0ac6-a73d-424a-a2cb-03da9069d512 · inbound

Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving cites this paper.

Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:17:18.472179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T13:14:26.628447Z digest=sha256:10d95bb00e608467602bbe15a44a0cf6f1e73415b50cadcc2bf67f94a59d2707

Observation 1433d673-a860-40f8-9f38-54242f7a1138 · 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 GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:39:48.886610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:39:48.886610Z digest=sha256:9950215aabbf80c3c0859acb568b7692b704fe19155872310c17969297f42d16

Observation d437612f-6677-4713-bfa0-7a8fea42f616 · inbound

The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures cites this paper.

The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:17.190475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T04:48:46.006687Z digest=sha256:35d0ea81534d4951d0e826f5f0b2a9274fe1e9833cde0b2931198a1154e82244