Paper Citation Record · LEDGER

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2411.17598.

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

pith.paper-citation-record.v1
2411.17598 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:57:26.161960Z

measured 12 of 12 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 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

12 of 12 outbound references displayed

verified exact3
verified fuzzy3
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c7bc954-4c55-4aad-854f-82b2d94bb888 · outbound

This paper cites Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-12T11:57:26.096487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef09cd85-3366-4c79-9215-873e4cb2bc34 · outbound

This paper cites A computational approach to evaluating curricular alignment to the United Nations Sustainable Development Goals,.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals A computational approach to evaluating curricular alignment to the United Nations Sustainable Development Goals,

Reference 2

Resolution: verified exact; doi, observed 2026-08-12T11:57:26.322308Z

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.

Observation a3b06eb8-2435-490b-8290-b44a53e931fb · outbound

This paper cites Classifying economics for the common good: a note on the links between sustainable development goals and JEL codes,.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals Classifying economics for the common good: a note on the links between sustainable development goals and JEL codes,

Reference 3

Resolution: verified exact; doi, observed 2026-08-12T11:57:26.305766Z

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.

Observation 21e2cdfe-d459-4167-bb23-fdac2a0ecf97 · outbound

This paper cites ULA, a Bibliometric Method to Identify Sustainable Development Goals Using Large Language Models,.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals ULA, a Bibliometric Method to Identify Sustainable Development Goals Using Large Language Models,

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-12T11:57:26.461357Z

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.

Observation a1c65fa9-1590-4753-968f-f5ec28b30ba6 · outbound

This paper cites Evaluating the Performance of Large Language Models for SDG Mapping (Technical Report),.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals Evaluating the Performance of Large Language Models for SDG Mapping (Technical Report),

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:57:26.529729Z

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.

Observation d3ef2bf3-0489-4f40-8164-e4beb347d96a · outbound

This paper cites SDG target detection in environmental reports using Retrieval-augmented Generation with LLMs,.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals SDG target detection in environmental reports using Retrieval-augmented Generation with LLMs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:57:26.510492Z

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.

Observation 3cacd724-d852-4656-880d-7430391e439c · outbound

This paper cites Identifying Research Supporting the United Nations Sustainable Development Goals,.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals Identifying Research Supporting the United Nations Sustainable Development Goals,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T11:57:26.139836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8a7291-f3fb-40cc-9c78-3f906ae653a4 · outbound

This paper cites (2024, June) Impact Rankings 2024: Method- ology.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals (2024, June) Impact Rankings 2024: Method- ology

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:57:26.489658Z

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.

Observation 29352708-1fa9-4683-a80f-afaeeb1279b5 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T11:57:26.151478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c4c5971-c04e-416c-8d04-bda111c847ef · outbound

This paper cites Mistral 7B.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:57:26.157420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce74cc4d-3784-4d7a-b9e9-af71389d7879 · outbound

This paper cites The Llama 3 Herd of Models.

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals The Llama 3 Herd of Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:57:26.161960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e13988-db8a-4dbb-9c8f-e3aec2535ea9 · outbound

This paper cites Evaluating the Performance of Large Language Models for SDG Mapping (Technical Report).

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals Evaluating the Performance of Large Language Models for SDG Mapping (Technical Report)

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T11:57:26.289593Z

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.

Pith citing papers

No inbound Pith citation observations are available.