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Paper Citation Record · LEDGER

Estimation of Corporate Greenhouse Gas Emissions via Machine Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.04318.

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

pith.paper-citation-record.v1
2109.04318 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:28:23.893615Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:35:04.763764Z

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 6ade909e-04d0-412f-b9ec-c302ff137c1a · inbound

GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction cites this paper.

GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction Estimation of Corporate Greenhouse Gas Emissions via Machine Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:52:52.492935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T19:50:49.741470Z digest=sha256:ccfb1cea98b752d31f5932a105d87530470641e4425a2d528d8b91d024ad3901

Observation 1b6ede50-3ef0-4097-9cba-00ae28b3c283 · inbound

GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction cites this paper.

GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction Estimation of Corporate Greenhouse Gas Emissions via Machine Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:35:04.765323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T21:28:23.893615Z digest=sha256:b599af3f645098cd03a129695a491f472852ac0dac5b2e0ae0327b14e3c11ee6