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Paper Citation Record · LEDGER

Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.09713.

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

pith.paper-citation-record.v1
2408.09713 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:14:51.307543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:00:21.450248Z

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 66226590-101e-42b7-8d05-1901d38da699 · inbound

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework cites this paper.

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:14:51.307543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:14:51.307543Z digest=sha256:44a98dbfa436cc52d2a50476ea2fbb82bf6fb291483716e8247c20dadaaaedcb

Observation 5dae070d-70b7-4cea-9d8e-0deed59fec0f · inbound

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search cites this paper.

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.453719Z

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.

source=pdf_text observed=2026-05-15T21:58:04.706427Z digest=sha256:c89eb671ac3e5f9e02c0823f5da32cbf271cf29ee9b01a30c01dba4cf675bbd4

Observation 9f5370a7-b181-4b14-995d-55a3268b22b1 · inbound

PFAgent: A Tractable and Self-Evolving Power-Flow Agent for Interactive Grid Analysis cites this paper.

PFAgent: A Tractable and Self-Evolving Power-Flow Agent for Interactive Grid Analysis Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:04.824021Z

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.

source=pdf_text observed=2026-05-10T15:15:47.810263Z digest=sha256:35b59b8d8f47985bb980bc5083f52aecaeb256f09040c9c927bd655a357ce311