Paper Citation Record · LEDGER

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures

As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2509.03857.

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

pith.paper-citation-record.v1
2509.03857 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:39:33.702906Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy14
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c69955e5-9d2e-4952-96e6-1cd2ce2b0990 · outbound

This paper cites Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:32.780612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ebf8886-d6da-4cd0-9314-b1d01016cd40 · outbound

This paper cites Gpt-4 technical report, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Gpt-4 technical report, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:35.571481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c1500fd-3cd2-4c84-adc2-ab145185a26d · outbound

This paper cites Langchain documentation, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Langchain documentation, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:35.396841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04599ad2-da18-40b7-8b56-da2c6f1e0938 · outbound

This paper cites Arize ai documentation, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Arize ai documentation, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:35.276463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 16e370b2-fd24-4fbe-a2e4-b37c629b6778 · outbound

This paper cites Helicone documentation, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Helicone documentation, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:35.124468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5dcdaf70-7dd6-40d1-ad0c-6ddcd73b3658 · outbound

This paper cites Weights & biases documentation, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Weights & biases documentation, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:35.008787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bdefddf1-92b7-4e04-9942-f60244a99b11 · outbound

This paper cites Comet ml documentation, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Comet ml documentation, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:34.817926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0186c04a-e459-45e3-9e52-dc77ec2e2a8a · outbound

This paper cites Mlflow documentation, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Mlflow documentation, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:34.703120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ac01efcb-5bf6-462d-8fbc-b327ec32c61f · outbound

This paper cites Grapheval: A knowledge- graph based llm hallucination evaluation framework, 2024.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Grapheval: A knowledge- graph based llm hallucination evaluation framework, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:34.583870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2153f5e-4e89-4e1a-89be-33560e3bf8ff · outbound

This paper cites Multihal: Multilingual dataset for knowledge-graph grounded evaluation of llm hallucinations, 2025.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Multihal: Multilingual dataset for knowledge-graph grounded evaluation of llm hallucinations, 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:34.445977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a64fcf36-e8ad-40e4-b893-313e83e1508c · outbound

This paper cites Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting, 2023.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:34.336991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51d9eaf5-05f1-48a7-b293-ffe812490b59 · outbound

This paper cites Can knowledge graphs reduce hallucina- tions in llms? : A survey, 2024.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Can knowledge graphs reduce hallucina- tions in llms? : A survey, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:34.198965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f935f333-1b42-4667-a126-2eab9054b39f · outbound

This paper cites Kglens: Towards efficient and effective knowledge probing of large language models with knowledge graphs, 2024.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Kglens: Towards efficient and effective knowledge probing of large language models with knowledge graphs, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:33.515778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6454a24e-5709-4582-9b22-82df6130629f · outbound

This paper cites Self- alignment for factuality: Mitigating hallucinations in LLMs via self-evaluation.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Self- alignment for factuality: Mitigating hallucinations in LLMs via self-evaluation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:34.082455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 309aecbd-a0d1-4d15-9bdd-74987d766940 · outbound

This paper cites Scientists develop new algorithm to spot ai ’hallucinations’.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Scientists develop new algorithm to spot ai ’hallucinations’

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:33.924944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5472c28d-6d92-4fec-a2f5-b742afd8f5de · outbound

This paper cites Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life.

Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:33.837353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.