Paper Citation Record · LEDGER

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification

As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.05741.

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

pith.paper-citation-record.v1
2509.05741 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:07:43.247039Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

27 of 27 outbound references displayed

verified exact8
verified fuzzy5
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 604ba5b3-2b3d-47dd-b8ef-9e9a0257264a · outbound

This paper cites Cedille: A large autoregressive French language model.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Cedille: A large autoregressive French language model

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:07:43.734167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e822ae09-5364-40f6-a5f7-50b4488c75e4 · outbound

This paper cites Dpl-slam: enhancing dynamic point-line slam through dense semantic methods.IEEE Sensors Journal, 24(9):14596–14607, 2024.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Dpl-slam: enhancing dynamic point-line slam through dense semantic methods.IEEE Sensors Journal, 24(9):14596–14607, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:07:43.782276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5b10131-b16c-4e14-8305-145c61a7155a · outbound

This paper cites Enhanced visual slam for collision-free driving with lightweight autonomous cars.Sensors, 24(19):6258, 2024.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Enhanced visual slam for collision-free driving with lightweight autonomous cars.Sensors, 24(19):6258, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:07:43.770448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49ca6272-e716-4e8b-8607-1896fc82bf42 · outbound

This paper cites Slam2: Simultaneous localization and multimode mapping for indoor dynamic environments.Pattern Recognition, 158:111054, 2025.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Slam2: Simultaneous localization and multimode mapping for indoor dynamic environments.Pattern Recognition, 158:111054, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:07:43.761725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8995ce36-407d-49b8-b2a5-24612a8c8954 · outbound

This paper cites Score: Story coherence and retrieval enhancement for ai narratives.arXiv preprint arXiv:2503.23512, 2025.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Score: Story coherence and retrieval enhancement for ai narratives.arXiv preprint arXiv:2503.23512, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.183862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5dfce99-b3de-42ce-a567-b522f362b292 · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.186948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47bca386-2691-4c63-b31c-bd8690fe2f0f · outbound

This paper cites Weak to strong generalization for large language models with multi-capabilities.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Weak to strong generalization for large language models with multi-capabilities

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:07:43.752328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 570e3313-313b-4434-a0a0-e529266994da · outbound

This paper cites Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.192778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78fb58d3-dc86-4a4b-8be7-105317af8ae6 · outbound

This paper cites System prompt optimization with meta-learning.arXiv preprint arXiv:2505.09666v1, 2025.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification System prompt optimization with meta-learning.arXiv preprint arXiv:2505.09666v1, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.195554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42d20da-cdb8-4e76-bed1-70c36dc81468 · outbound

This paper cites Weighted spherical means generated by generalized translation and general Euler-Poisson-Darboux equation.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Weighted spherical means generated by generalized translation and general Euler-Poisson-Darboux equation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:07:43.578412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4055e763-39bd-4b68-a67d-05b0e0a4ab18 · outbound

This paper cites Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.200618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 712be08c-9350-47dd-adb3-e043ca4ed233 · outbound

This paper cites The combinatorial equivalence of a computability theoretic question.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification The combinatorial equivalence of a computability theoretic question

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:07:43.556246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ebce2c8-f26f-4ff8-934b-1402d81336e7 · outbound

This paper cites ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:07:43.542330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d05e297-fdfc-4f79-8a9a-9b8b0276a5e0 · outbound

This paper cites Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.210171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da6398c-1498-49d6-90f2-aac2744ef716 · outbound

This paper cites Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.213227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b96867-5f5e-4ce3-b954-4ab23e67ad8a · outbound

This paper cites Zero-knowledge llm hallucination detection and mitigation through fine-grained cross-model consistency.arXiv preprint arXiv:2508.14314v1, 2025.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Zero-knowledge llm hallucination detection and mitigation through fine-grained cross-model consistency.arXiv preprint arXiv:2508.14314v1, 2025

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-05T05:07:43.508926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f084b17-5c8a-41d4-ac47-fb3322780d68 · outbound

This paper cites Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.218919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa4b733-54b1-42aa-858c-7808aaec87ef · outbound

This paper cites Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:07:43.432783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fec3e26-2e29-473b-9d7d-3e3e233a8549 · outbound

This paper cites Evaluating the Factual Consistency of Large Language Models Through News Summarization.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Evaluating the Factual Consistency of Large Language Models Through News Summarization

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:07:43.419868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23af70ab-a521-4ec7-8836-1d52458a9731 · outbound

This paper cites The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.228300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70a05ad-686d-42f8-b841-3d19ba931b91 · outbound

This paper cites Multihal: Multilingual dataset for knowledge-graph grounded evaluation of llm hallucinations.arXiv preprint arXiv:2505.14101v1, 2025.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Multihal: Multilingual dataset for knowledge-graph grounded evaluation of llm hallucinations.arXiv preprint arXiv:2505.14101v1, 2025

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-05T05:07:43.397565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3be3b86-b42b-4156-9e8a-b17d396557a0 · outbound

This paper cites Structured Chain-of-Thought Prompting for Code Generation.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Structured Chain-of-Thought Prompting for Code Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.233440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3f8b7c2-3545-4fff-b56d-7a70d7d0a645 · outbound

This paper cites Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.236122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f2195d-81ee-4717-a32e-77aae4e87486 · outbound

This paper cites Prompt Baking.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Prompt Baking

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.238729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00d6676-be2b-480f-98b2-00c242bf1a19 · outbound

This paper cites Large Language Models have Intrinsic Self-Correction Ability.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Large Language Models have Intrinsic Self-Correction Ability

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.241696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e28344d-6bf9-47e1-af06-77a84d65b2b5 · outbound

This paper cites Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T05:07:43.244441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88cc4233-e62f-4677-860c-ae4580fe23f3 · outbound

This paper cites Visual in-context learning for large vision- language models.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification Visual in-context learning for large vision- language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:07:43.743983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.