Paper Citation Record · LEDGER

Research Entity Extraction and Topic Detection from UKRI Grant Proposals

As of 20 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2606.30304.

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

pith.paper-citation-record.v1
2606.30304 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

9 of 9 outbound references displayed

verified exact1
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44449cd3-3ee0-4ebd-9dbd-397c9e9c71ac · outbound

This paper cites As such, governments are increasingly seeking to optimise returns on public research investment by identifying and prioritising areas of emerging strength.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals As such, governments are increasingly seeking to optimise returns on public research investment by identifying and prioritising areas of emerging strength

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf634df-ccce-417d-8643-820a1d94d50a · outbound

This paper cites Tracking Stars and Unicorns.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals Tracking Stars and Unicorns

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a849fe20-02e5-4c54-9419-1b4f426fd561 · outbound

This paper cites an unresolved cited work.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a8f27d-7ed5-469c-aa2a-8e20b489c217 · outbound

This paper cites Building on these, recent LLMs offer superior semantic reasoning and broader cross-domain generalisation.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals Building on these, recent LLMs offer superior semantic reasoning and broader cross-domain generalisation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22ddc41-594d-45a7-b54b-98f2748ef497 · outbound

This paper cites Finite Element Method.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals Finite Element Method

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f51a75-c059-421f-82b0-8366eb52bbdb · outbound

This paper cites stem cells.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals stem cells

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 995cbf16-eb9f-48bf-a4d2-076a0377eece · outbound

This paper cites By processing thousands of proposals, the aggregate dataset achieves a comprehensive level of thematic coverage that naturally offsets minor individual inaccuracies.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals By processing thousands of proposals, the aggregate dataset achieves a comprehensive level of thematic coverage that naturally offsets minor individual inaccuracies

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e049b70c-1750-4828-b3ef-31e7154ade80 · outbound

This paper cites Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T03:34:12.591593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb9c2d38-f926-4e81-9ff5-3b66691d9ecf · outbound

This paper cites social impact of technology.

Research Entity Extraction and Topic Detection from UKRI Grant Proposals social impact of technology

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-30T03:27:44.228977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.