Paper Citation Record · LEDGER

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2411.08469.

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

pith.paper-citation-record.v1
2411.08469 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:33:20.448981Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:03.844441Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:33:06.819941Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy13
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6deb2aab-da52-42e1-9212-0d0df724997d · outbound

This paper cites Cambridge University Press, ISBN 978-0-521-87361-1 (2017).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Cambridge University Press, ISBN 978-0-521-87361-1 (2017)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.259769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 614e4e39-026a-40b4-b788-1886572f5e2e · outbound

This paper cites Cambridge University Press, ISBN 978-0-51154-335-7 (2003).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Cambridge University Press, ISBN 978-0-51154-335-7 (2003)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.240751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b50a563b-2d2b-4be4-8d2a-d5688e997658 · outbound

This paper cites Journal of the American Medical Informatics Association28(9), 2017–2026 (2021).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Journal of the American Medical Informatics Association28(9), 2017–2026 (2021)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.173191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b97eaf3-6a8e-46ea-bb92-7f5d7fea93e5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.181193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621c7499-09ce-4f26-aaa9-606e60ed5989 · outbound

This paper cites In: Proceedings of DAGM GCPR 2023.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of DAGM GCPR 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.188357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e4d6c16-c7fd-48a2-80a7-3e79065853e1 · outbound

This paper cites In: Proceedings of NAACL 2019.pp.4171–4186.ACL(2019).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of NAACL 2019.pp.4171–4186.ACL(2019)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.206057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23332ee8-14bb-41c7-8bc5-adf215082eb4 · outbound

This paper cites SymbolicAI: A framework for logic-based approaches combining generative models and solvers.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) SymbolicAI: A framework for logic-based approaches combining generative models and solvers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.201131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b0df2db-2d01-47ff-adf0-11c847adc570 · outbound

This paper cites In: Proceedings of the 2001 ACM SIGMOD international conference on Management of data.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of the 2001 ACM SIGMOD international conference on Management of data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.186001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e843f4c-5c1b-4b1a-8213-40e980cd0546 · outbound

This paper cites AI Magazine 37(3), 53–68 (2016).https://doi.org/10.1609/aimag.v37i3.2678.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) AI Magazine 37(3), 53–68 (2016).https://doi.org/10.1609/aimag.v37i3.2678

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.215025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 954b6733-c93a-4353-9c1b-332e533bdf14 · outbound

This paper cites Regulation 2024/1689, EU (2024).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Regulation 2024/1689, EU (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.167433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 65d0d230-726c-4ab4-9c40-62a64a0eb00e · outbound

This paper cites an unresolved cited work.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:33:21.146938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 586e098c-3539-4229-8f6b-6e7b30196918 · outbound

This paper cites Springer, ISBN 978-3-031-00433-9 (2013).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Springer, ISBN 978-3-031-00433-9 (2013)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.122012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc25956e-5e3b-4ee9-badf-5361fbc14a28 · outbound

This paper cites In: Proceedings of ICLP/SLP 1988.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of ICLP/SLP 1988

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.091760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b8baa6ba-2735-423e-8b93-4849a0f06e49 · outbound

This paper cites right to explanation.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) right to explanation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.244906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52919cd7-5f86-4ebf-8a14-df75078ae28f · outbound

This paper cites Knowl- edge acquisition 5(2), 199–220 (1993).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Knowl- edge acquisition 5(2), 199–220 (1993)

Reference 15

Resolution: verified exact; doi, observed 2026-08-12T21:33:20.582562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36d9a2dd-50bf-4823-b44a-668033ec1b8e · outbound

This paper cites European Journal of Public Health32, 3 (2022).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) European Journal of Public Health32, 3 (2022)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.066666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb37f761-2714-4f3b-95b3-6d2ee8f3630e · outbound

This paper cites Farrar, Straus & Giroux (ISBN 978-0- 37453-355-7), New York (2013).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Farrar, Straus & Giroux (ISBN 978-0- 37453-355-7), New York (2013)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.045922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa791af6-7007-405a-86ba-7486945a3938 · outbound

This paper cites In: Proceedings of NIPS ’22.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of NIPS ’22

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.265723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7247b19d-db05-4a07-a152-ad75431cbfd5 · outbound

This paper cites Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T21:33:20.720971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ef58bfc-12eb-47b5-b826-608fb1973a14 · outbound

This paper cites Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T21:33:20.563634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1254e430-1131-400e-8144-0a647c83b4b8 · outbound

This paper cites In: Proceedings 18th international conference on data engineering.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings 18th international conference on data engineering

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:21.024208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3dd79d6a-82ef-4acc-9791-3b3f4155a884 · outbound

This paper cites GPT-4 Technical Report.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) GPT-4 Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.391019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abadc45-07fc-4133-b732-7cfd94d064f6 · outbound

This paper cites Science334(6060), 1226–1227 (2011).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Science334(6060), 1226–1227 (2011)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.397304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f46d4d7-4fe4-4759-8f0e-8e5ee504916c · outbound

This paper cites Technical report, OpenAI (2019).

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Technical report, OpenAI (2019)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:20.998211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e21772b-96dd-4ab3-b45f-f4877af2cc0c · outbound

This paper cites an unresolved cited work.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:33:20.975770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad16a96e-c1a8-4614-b997-50e458fde2bd · outbound

This paper cites In: Proceedings of NIPS 2017.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of NIPS 2017

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:20.955785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e91c56a-c51f-4737-a464-62eb23d1b367 · outbound

This paper cites Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.419820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab9ae1a-0505-4752-a666-00ff7e3f3516 · outbound

This paper cites Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.426265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c30cc1-7b64-4742-afaa-9140cede7344 · outbound

This paper cites In: Proceedings of ICLR 2022.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of ICLR 2022

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:33:20.935628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 51d13bb8-0bfb-4d6b-bb95-3af1247b5984 · outbound

This paper cites In: Proceedings of ISWC 2022.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) In: Proceedings of ISWC 2022

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.437289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5982f9-7db1-4201-a24b-458bf765d8f5 · outbound

This paper cites an unresolved cited work.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:33:20.904798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2deef3db-1406-4610-910c-5b52a137025d · outbound

This paper cites A short Survey: Exploring knowledge graph-based neural-symbolic system from application perspective.

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet) A short Survey: Exploring knowledge graph-based neural-symbolic system from application perspective

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T21:33:20.448981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b76004d3-7006-4fb9-a444-fd66f3525d5a · inbound

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing cites this paper.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:33:06.899363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.