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Paper Citation Record · LEDGER

Benchmarking LLMs for Environmental Review and Permitting

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07321.

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

pith.paper-citation-record.v1
2407.07321 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:42:49.685666Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 68a5bc4d-dc4a-4e14-9894-fc2bf8c2e11e · inbound

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement cites this paper.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Benchmarking LLMs for Environmental Review and Permitting

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T17:08:05.207139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:08:05.207139Z digest=sha256:32210bfe80581e9653ce4d95059a959cd5c8db04ee26f5486081180069dd64c8

Observation 8d864654-ec3d-4c48-925d-e721fe4d5ea4 · inbound

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance cites this paper.

From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance Benchmarking LLMs for Environmental Review and Permitting

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T09:42:49.685666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:42:49.685666Z digest=sha256:ee013f13289e4c63d12175d6fdff0478d0749f9f5bdf1183cde130456d9f62be