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Paper Citation Record · LEDGER

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2509.05360.

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

pith.paper-citation-record.v1
2509.05360 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:50:33.896138Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

33 of 33 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95a26bdc-1ef8-4c13-8236-5ba5276ee7f5 · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:50:31.058838Z digest=sha256:aef87ff01679dd4b9529c0deaaedc008433eed29083b881eae8f453b685ea8cf

Observation 65fdb4f2-0307-4525-94a4-23eddacae9fe · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Hallucination of Multimodal Large Language Models: A Survey

Reference 2

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source=pdf_text observed=2026-08-05T10:50:31.106315Z digest=sha256:1abfb87c87738a13a355289cf51eb79dabd82a931df1263be5b69ad7a6105546

Observation 9ef276c1-ac94-4e5e-9c40-4058372e3702 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:50:31.193238Z digest=sha256:3d2500c79ef4fb26e6a8785f8dd00e39e8bb98ffd86aed58153dc051f1fb3c57

Observation 405baf05-7e79-46e1-9206-f5301a62db0d · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 4

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source=pdf_text observed=2026-08-05T10:50:31.278287Z digest=sha256:37cdbf6ad4272a0436a5f361d4976e3013b1a43fcc74a9a0bb6d1f222e2b88a3

Observation 42c7cd23-09e3-4756-a40d-7481c4dbabf2 · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-05T10:50:34.658919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T10:50:31.361250Z digest=sha256:9365c8d05a6fcdc91c9f08a745d3ec6971bc856981018145b832639f663f6e8b

Observation adc21134-81c3-41c0-a250-ee289875f6fd · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 6

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Observation 3c578daf-a3cd-418d-9c86-316db284a60f · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-05T10:50:31.486506Z digest=sha256:5aff6cc9248590a18bc4d2086d19e5d7f9ea96494b7c6eb1e45a039aa7fe4e5e

Observation a4eec8c1-a9b4-41fa-8bc3-aaa093b05d5a · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-05T10:50:31.571000Z digest=sha256:f6be4101cbd40c00e06768497df8d246329ea9c74ffdce9b8fbb98e07e43fcd1

Observation c9fe921b-4684-476c-b3b8-a98b647311f9 · outbound

This paper cites TensorLy: Tensor Learning in Python.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection TensorLy: Tensor Learning in Python

Reference 9

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source=pdf_text observed=2026-08-05T10:50:31.636191Z digest=sha256:3aa62ef0f29954da391bf0cee97f4656a19268f12dac9b18397c0702a1edb741

Observation db6b3e42-9248-4b9b-bf3b-7312912c0a16 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 10

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source=pdf_text observed=2026-08-05T10:50:31.704922Z digest=sha256:cf833ff20a4d8c044d2ac50ead82190146937c837a9a848cc20031265eff81d7

Observation 658d9cf9-1a52-44eb-a235-25faf7f863f2 · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-05T10:50:31.769771Z digest=sha256:2daa6c3bea13cb9054c3c77f921194abc2b31a47686b17c45c096e4bd5752ada

Observation cab9c07d-5573-4230-b05d-cd8965923d4e · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-05T10:50:31.894723Z digest=sha256:50b314929052bf8a516dbed7e1071403159f61e010a01d6170f56eced131540b

Observation a737ff7b-5ab9-4dc1-b16b-8642e200ae18 · outbound

This paper cites Uncertainty Estimation in Autoregressive Structured Prediction.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Uncertainty Estimation in Autoregressive Structured Prediction

Reference 13

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source=pdf_text observed=2026-08-05T10:50:31.963512Z digest=sha256:3d3c2c46b4cd0bd545f9faa36d966c0b41287b3331180dc118f8a7e5ab68d5fe

Observation 54c15615-a373-459a-aa0c-975790496629 · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:50:32.031620Z digest=sha256:1f209d0a046cc9aefcdd4bf563bc8e3a7bc4c9d55fe5bef91469cf92f765ed61

Observation 6b45c962-e0ab-40b9-8b22-7fa97c468793 · outbound

This paper cites SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 15

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source=pdf_text observed=2026-08-05T10:50:32.085327Z digest=sha256:10a9c74a30394e7cbf8a092c8620bc3ced50fa1288bc67a6ae3b537894e6cd66

Observation 9032add1-6dcf-4305-9412-f17e82e99b9d · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 16

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source=pdf_text observed=2026-08-05T10:50:32.146297Z digest=sha256:9b0d2fef86f6b2d67852aa0986cfdf0e0d93eda56fee700d78a21f81049eb9bd

Observation 025158b4-aa17-4c85-a8cd-54ee4ff7341c · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T10:50:32.224599Z digest=sha256:ddb6816941deaa697b032ff305577fe68795f011ff35cc425161e0ffa56abc93

Observation 7e5001c6-052a-423c-898c-c93a7a137c0b · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 18

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source=pdf_text observed=2026-08-05T10:50:32.411843Z digest=sha256:67ba786cdfaa5339ca79ec2d58fd816c0b430db16eacd4398f969450d89f71a3

Observation 8c2fd6b5-c803-4478-8d79-98971b50d2c9 · outbound

This paper cites RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 19

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source=pdf_text observed=2026-08-05T10:50:32.463923Z digest=sha256:ff781567f930ebe2cfe3b28573310ee8455f98e9bc3cd9325bdc179d19174c41

Observation 7dc63c33-f2eb-4cf2-b416-eac75babfc82 · outbound

This paper cites GPT-4o System Card.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection GPT-4o System Card

Reference 20

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source=pdf_text observed=2026-08-05T10:50:32.543670Z digest=sha256:fe530e77b83d292ffa280213077eb58e6e3f78ac2e16cf47f9f838bdb2493928

Observation 89d65caa-861a-42e0-8c71-9c455077b51e · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T10:50:32.666521Z digest=sha256:609438d0ede5f1c489ef5aa36aa647ed9748f028e4be60a81190bddb59889365

Observation 322a01c9-005b-471c-a26b-952b46c237a0 · outbound

This paper cites Out-of-Distribution Detection and Selective Generation for Conditional Language Models.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 22

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Observation ee5e0014-6e9b-46c4-8008-907c9dbe4ce8 · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-05T10:50:32.850555Z digest=sha256:a5b81ac62818b78b4fb148b1f8e30e641abf31128a21a011041655a179ec015d

Observation 142cdc20-754c-416a-a65d-6d3bd826cbc4 · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T10:50:33.002744Z digest=sha256:9430bac30bdd869003db081fa8f5576d320aadfd35a7c9a94df15ce7b1e44d3a

Observation fa1940a5-0927-4509-b9ff-c04f557ce8bb · outbound

This paper cites Mutual Information Alleviates Hallucinations in Abstractive Summarization.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Mutual Information Alleviates Hallucinations in Abstractive Summarization

Reference 25

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local_arxiv, observed 2026-08-05T10:50:34.219940Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T10:50:33.181584Z digest=sha256:b5b6cfcc22b443e31d0357350c5098c2f539b7fd7595b0148df9b191e824baf6

Observation 5b272004-080d-4db2-83fd-9356ab502908 · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T10:50:33.289369Z digest=sha256:345c0226aeb3858d3b380e51d2916846a31286c2debf0827a0d2d754dc4cb63c

Observation cc7c6947-caf7-4409-ba0f-e7df1fd58c6f · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Large Language Models are Better Reasoners with Self-Verification

Reference 27

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source=pdf_text observed=2026-08-05T10:50:33.558699Z digest=sha256:0856210c0f6eeee042c09310d4aacf10f01edb944c2c7932275283e30009fa2c

Observation 242f5d61-483c-4864-bbbf-ec8da889f855 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 28

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source=pdf_text observed=2026-08-05T10:50:33.711823Z digest=sha256:8d75f433f7cb955bc8ac4a19b8401aae1b05b360c7c91d3348061a0585db4247

Observation fbffc528-460e-49f1-a165-bee835351af4 · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 29

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source=pdf_text observed=2026-08-05T10:50:33.412508Z digest=sha256:cdb39cdc24fa314ff0625a16069cc361a7c54b8abd1d4ac4516505fc69918b38

Observation 3b36f7db-6f14-42fe-9ebf-10f7b9dadefa · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection BERTScore: Evaluating Text Generation with BERT

Reference 30

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source=pdf_text observed=2026-08-05T10:50:33.896138Z digest=sha256:b5ae413687f225a73314a3c4b5c34b8bdec06eb1bf2e7b3c5d53ecf0d7c3cf58

Observation 91787bdd-e247-4a7c-aea0-c798cbd8be3c · outbound

This paper cites BARTScore: Evaluating Generated Text as Text Generation.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection BARTScore: Evaluating Generated Text as Text Generation

Reference 32

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source=pdf_text observed=2026-08-05T10:50:33.855135Z digest=sha256:90ae00324da6b18de9caa4c952b1c5476092a427551f729c39198e1a80c05483

Observation fd860df9-6f99-45dd-a4c5-dd222f6f58ee · outbound

This paper cites an unresolved cited work.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Unresolved cited work

Reference 854

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source=pdf_text observed=2026-08-05T10:50:32.306380Z digest=sha256:87ba471a648717eb1c7b2f65a3b763933897449366cab3551b56777a0c3c39da

Observation c4a89746-0f22-4228-98c3-d07851f6bbbe · outbound

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

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:50:31.830147Z digest=sha256:7a341a9ecc9f484a19919196445cc341f20037c433a71d1727412b9dc356f330

Pith citing papers

No inbound Pith citation observations are available.