Paper Citation Record · LEDGER

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training

As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2502.08904.

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

pith.paper-citation-record.v1
2502.08904 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:19:36.769072Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T14:05:14.737146Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy7
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 14be6bcd-34a5-4c83-b63f-def0afcc5852 · outbound

This paper cites The Llama 3 Herd of Models.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.694718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af32eda-4a43-42fb-b3ab-4a8287d98068 · outbound

This paper cites ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.698401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33acd2c-425e-431d-a53e-905bf28611e9 · outbound

This paper cites Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.706962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570326f3-a17f-4466-823b-c40ae6a3aa19 · outbound

This paper cites Mistral 7B.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Mistral 7B

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.710460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe5b1d5-ec65-4b8b-ade2-25111c38e083 · outbound

This paper cites A Survey on Large Language Model Hallucination via a Creativity Perspective.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training A Survey on Large Language Model Hallucination via a Creativity Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.713913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e01f88b-2345-4b57-9cc3-a5da29ba029f · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.717618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0290046f-0e7b-4da4-809b-1c5782746978 · outbound

This paper cites MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.721310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef73fff-736e-4e3f-80c3-7a396cd2780b · outbound

This paper cites In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1384–1403.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1384–1403

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:37.008440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1459c138-7645-443b-8ae4-f7deca6708d8 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 3806–3824.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 3806–3824

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:36.996971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e1f2473-ddc3-4fa4-aab3-0156d4c3800a · outbound

This paper cites Summarization is (Almost) Dead.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Summarization is (Almost) Dead

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.732555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9941bb5a-984f-4d9f-ba5f-ebe695540239 · outbound

This paper cites In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 1460–1476.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 1460–1476

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:36.986214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aedcdeab-651d-4064-9ab3-98c7d6bd8c9a · outbound

This paper cites OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.740535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afbcf2b3-a587-40e6-8cb7-4adc75c1018a · outbound

This paper cites Faithful Logical Reasoning via Symbolic Chain-of-Thought.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Faithful Logical Reasoning via Symbolic Chain-of-Thought

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.744595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99f25ca-b974-4af0-81e5-396b45274bc1 · outbound

This paper cites Qwen2.5 Technical Report.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Qwen2.5 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.748393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70eab4f7-7b0a-4e6d-aafa-6a576ad7f064 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.751966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ba5e9f-204e-4f74-8716-187db9de77f0 · outbound

This paper cites In Pro- ceedings of the 2022 Conference on Empirical Meth- ods in Natural Language Processing , pages 2023–.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training In Pro- ceedings of the 2022 Conference on Empirical Meth- ods in Natural Language Processing , pages 2023–

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:36.975062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a45cb95-5be9-499e-943f-27401b7c07ea · outbound

This paper cites Gajendrakumar.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Gajendrakumar

Reference 1927

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:36.953088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e3745907-590f-4b39-9f2e-aeda90d733db · outbound

This paper cites Gajendrakumar.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Gajendrakumar

Reference 1934

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:36.964027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 097cdde6-14a3-49fb-8705-9ba9cd9fd350 · outbound

This paper cites A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.685936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa31b23e-3670-44a2-97f3-97269292dad9 · outbound

This paper cites In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Process- ing, pages 7358–7370.

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:37.021160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf585a55-23b7-4bc7-aa1b-4c7e460f1a2c · outbound

This paper cites FOLIO: Natural Language Reasoning with First-Order Logic.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training FOLIO: Natural Language Reasoning with First-Order Logic

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.702863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c93ebd9-56ef-4136-a818-1ecfd40d6011 · outbound

This paper cites GPT-4 Technical Report.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.677813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4f9a1c-8454-4501-8429-e8865c4488b8 · outbound

This paper cites FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.682109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b7eaf64-4e0d-4510-93c6-ad880feb0a4e · outbound

This paper cites AR-LSAT: Investigating Analytical Reasoning of Text.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training AR-LSAT: Investigating Analytical Reasoning of Text

Reference 2038

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.760479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5f1821e5-2ea3-4ab6-bae0-b05ea843e522 · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:20.457286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.