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Paper Citation Record · LEDGER

Retrieval-Augmented Large Language Models as Components of Cognitive Computing architecture for Regulatory Knowledge Management

As of 18 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2607.24352.

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

pith.paper-citation-record.v1
2607.24352 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T17:28:52.092397Z

measured 3 of 3 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f6b2cd5-b9d1-4a3f-b0a5-d41efb6cb093 · outbound

This paper cites Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use.

Retrieval-Augmented Large Language Models as Components of Cognitive Computing architecture for Regulatory Knowledge Management Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T17:28:52.092397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T17:28:52.092397Z digest=sha256:4825ca446111fb8ff7d17a61ab99567100f05be75da385d235d0faf9150a3c7f

Observation 3f13aad8-6610-4ec4-8001-b636deda1f7e · outbound

This paper cites percentage of sophisticated words.

Retrieval-Augmented Large Language Models as Components of Cognitive Computing architecture for Regulatory Knowledge Management percentage of sophisticated words

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T17:28:52.085575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T17:28:52.085575Z digest=sha256:d92d5b3b42ed1be603694c8a141aad1a6d47de05e4587e719b44c096b6dfaafe

Observation 9cf21d28-c578-40fb-8e2f-81bdb8e9161f · outbound

This paper cites an unresolved cited work.

Retrieval-Augmented Large Language Models as Components of Cognitive Computing architecture for Regulatory Knowledge Management Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T17:28:52.089693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T17:28:52.089693Z digest=sha256:e42e15e32e7617928f7f52e254546fd55b68f5ccab284fd2298deaca4257bcf7

Pith citing papers

No inbound Pith citation observations are available.