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Paper Citation Record · LEDGER

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2502.08109.

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

pith.paper-citation-record.v1
2502.08109 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:29:50.456781Z

measured 31 of 31 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 2026-08-07T10:24:26.408324Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:24:26.761572Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7439b2b1-eb43-4d43-b941-d7752a5faf27 · outbound

This paper cites Sparks of artificial general intelligence: Early experiments with gpt-4, 2023.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Sparks of artificial general intelligence: Early experiments with gpt-4, 2023

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T10:29:50.301152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:29:50.301152Z digest=sha256:cb4cd80304a805d75c7443073036b31cec969b0f46ac4e552658a049604f5ebd

Observation 4974afd8-de96-4fae-a460-284eac60156d · outbound

This paper cites Felm: Benchmarking factuality evaluation of large language models.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Felm: Benchmarking factuality evaluation of large language models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:51.021820Z

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.

source=pdf_text observed=2026-08-08T10:29:50.307500Z digest=sha256:379b7fd9b5eb3feba38a0c9e8e488cb85a2db3d06177b819c69ca2223f53c8f0

Observation 6766fac3-796a-474a-9100-9d65997f3927 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Truthfulqa: Measuring how models mimic human falsehoods

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:51.003568Z

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.

source=pdf_text observed=2026-08-08T10:29:50.313875Z digest=sha256:4f75283219a5f989db0d4aaf2bd4b4d61e24912262fed38ba1c39aaf560bc954

Observation e709f5d9-619d-4e4b-be0d-c5110381e3e4 · outbound

This paper cites Qafacteval: Improved qa-based factual con- sistency evaluation for summarization.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Qafacteval: Improved qa-based factual con- sistency evaluation for summarization

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.985326Z

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.

source=pdf_text observed=2026-08-08T10:29:50.319131Z digest=sha256:6a289ada18cabf8142dbb988554737463ae7f19f745516ee6c57550d53129984

Observation 87d031f6-8b72-4c58-9bb5-751c51546132 · outbound

This paper cites Attention is all you need.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Attention is all you need

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.965924Z

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.

source=pdf_text observed=2026-08-08T10:29:50.325231Z digest=sha256:5b02636e503394b9c15e8c27bb4af273233d9448b527ad78489a8b56a4e40d51

Observation 48b2cba7-265e-4d83-a368-941320f703b6 · outbound

This paper cites A survey of large language models, 2023.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses A survey of large language models, 2023

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T10:29:50.330594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:29:50.330594Z digest=sha256:7348308073c4dd66bd4d86036fd3cd2f1ccbdf58605e860dab7e215b77e8432e

Observation 4668f260-6b78-4ed9-8321-edffffb89546 · outbound

This paper cites Emergent abilities of large language models, 2022.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Emergent abilities of large language models, 2022

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.929204Z

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.

source=pdf_text observed=2026-08-08T10:29:50.336020Z digest=sha256:1c6861793f2be99f81407f06abbb8ff19f568f16872ad08b588ccd63b793d53e

Observation 943a29de-779a-4149-9704-60f500daa3b8 · outbound

This paper cites an unresolved cited work.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-08T10:29:50.906642Z

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.

source=pdf_text observed=2026-08-08T10:29:50.341629Z digest=sha256:8f20a69f54802cadf788640df1d41733a52309bd90bee731b41e4aa447234765

Observation d1f9aa0e-f755-4d53-ad0a-06d7e9025df8 · outbound

This paper cites Fingpt: Open-source financial large language models.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Fingpt: Open-source financial large language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.885414Z

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.

source=pdf_text observed=2026-08-08T10:29:50.346596Z digest=sha256:27ec467267438b4f6a834ca13201574ce36491437c951fcd55439d0531b1207a

Observation 38eca8a1-e12d-446a-9fdf-1435dd75c8a9 · outbound

This paper cites Survey of hallucination in natural language generation.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Survey of hallucination in natural language generation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.865946Z

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.

source=pdf_text observed=2026-08-08T10:29:50.352289Z digest=sha256:d1495446f2fdf080ad218f6602ec4f3070f3a87603757ed9a87fcec9e6350318

Observation 0d1ca2b3-eb19-490e-b90f-5eaa0a7e4b45 · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses On faithfulness and factuality in abstractive summarization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.842132Z

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.

source=pdf_text observed=2026-08-08T10:29:50.357615Z digest=sha256:b951634dc3fd85bfe01f28cfadcac90b6fb62b59b8c122518d4458f893056497

Observation 50615555-ffad-46b7-9ed0-ea969511caeb · outbound

This paper cites Neural path hunter: Reducing hallucination in dialogue systems via path grounding.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Neural path hunter: Reducing hallucination in dialogue systems via path grounding

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.824231Z

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.

source=pdf_text observed=2026-08-08T10:29:50.362430Z digest=sha256:395f17737bc6d31642262b9287fc10a08d871d96f506f8393ac47124d479ad4e

Observation 9d6bad46-5ab8-4a8b-a442-acc9d7df7227 · outbound

This paper cites The factual inconsistency problem in abstractive text summarization: A survey, 2023.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses The factual inconsistency problem in abstractive text summarization: A survey, 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.807127Z

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.

source=pdf_text observed=2026-08-08T10:29:50.367400Z digest=sha256:6c3fe378559504a21c4e904ec1c33a86211ebec57120387a8cbf115d4d594ea5

Observation fe5f218e-b98f-4f00-9024-9448422b47b3 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions, 2023.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions, 2023

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T10:29:50.372516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:29:50.372516Z digest=sha256:76aea85bfa28a4631f5beb3adcc1983c7df88d1c1c4eee3893c582f7d4e69af4

Observation 7cc4c15f-ff02-4c90-9d99-2b1805d396cf · outbound

This paper cites Realtime qa: what’s the answer right now? In Proceedings of the 37th International Conference on Neural Information Processing Systems.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Realtime qa: what’s the answer right now? In Proceedings of the 37th International Conference on Neural Information Processing Systems

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.772482Z

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.

source=pdf_text observed=2026-08-08T10:29:50.377483Z digest=sha256:44106f713f820235d35dbd75bb688651e16bcbee7f28916d93ac1d337bbb2fb0

Observation ecbf9e88-a255-48e1-bba2-f9216d1b18bb · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.755269Z

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.

source=pdf_text observed=2026-08-08T10:29:50.383208Z digest=sha256:c2109b2480ee738fd836971759e4576d72e1480c838587393d7344ed2da9ec42

Observation bc74f69b-b7f2-4435-b276-d3fd2d69434e · outbound

This paper cites Overcoming a theoretical limitation of self-attention, 2022.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Overcoming a theoretical limitation of self-attention, 2022

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.738064Z

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.

source=pdf_text observed=2026-08-08T10:29:50.387984Z digest=sha256:d480e1a596f1fac1c19e193c1894fc948d82bea45cdf25c470e0261bc1ec7b3b

Observation c9561055-1de7-4d2d-9d58-3634982c2832 · outbound

This paper cites Batgpt: A bidirectional autoregessive talker from generative pre-trained transformer, 2023.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Batgpt: A bidirectional autoregessive talker from generative pre-trained transformer, 2023

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.719176Z

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.

source=pdf_text observed=2026-08-08T10:29:50.392824Z digest=sha256:068ab486ef016ed4b155a7a9727dfee116586bef07162d45e1f25960c24c5973

Observation ccde37e0-afaf-472a-9076-2e07aa69e894 · outbound

This paper cites A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.701558Z

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.

source=pdf_text observed=2026-08-08T10:29:50.397833Z digest=sha256:dcafbafd7753b5f2dde83c3c6f62556e6705c3ef9ecc07907b84a1e60d656429

Observation ea860bc0-8d40-47c9-8206-f869debb2322 · outbound

This paper cites Judging llm-as-a-judge with mt- bench and chatbot arena.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Judging llm-as-a-judge with mt- bench and chatbot arena

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.684086Z

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.

source=pdf_text observed=2026-08-08T10:29:50.403586Z digest=sha256:9bb5b15808e5e8667643af76ff21a7b38696e9afb36c4da7a08d955c67db6bce

Observation 74002951-328b-4d46-ba47-9351ae72bc6f · outbound

This paper cites Benchmarking foundation models with language-model-as-an- examiner, 2023.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Benchmarking foundation models with language-model-as-an- examiner, 2023

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.665918Z

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.

source=pdf_text observed=2026-08-08T10:29:50.408855Z digest=sha256:789cc23ba14e343c7984b6e2da0f038df486210cb924469edc7c573afaa6a316

Observation 04d179d8-10e8-4eea-9d7e-331af6059cae · outbound

This paper cites G-eval: Nlg evaluation using gpt-4 with better human alignment.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses G-eval: Nlg evaluation using gpt-4 with better human alignment

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.649197Z

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.

source=pdf_text observed=2026-08-08T10:29:50.414366Z digest=sha256:749af7edd766cdc0a29202dc98e7be84f6e1a4581a873a938111e4943b6c7121

Observation 639c456c-c1bc-42e9-ab26-14bf3da7109a · outbound

This paper cites Prd: Peer rank and discussion improve large language model based evaluations, 2023.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Prd: Peer rank and discussion improve large language model based evaluations, 2023

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.631560Z

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.

source=pdf_text observed=2026-08-08T10:29:50.420127Z digest=sha256:23fd8f4f995ac7b38b2dd6d759055771c8d95e54c34eb392e06c1197f05cb945

Observation 75ac7803-b933-4e24-bad9-c41a17305c18 · outbound

This paper cites Halueval: A large-scale hallucination evaluation benchmark for large language models.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Halueval: A large-scale hallucination evaluation benchmark for large language models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.614556Z

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.

source=pdf_text observed=2026-08-08T10:29:50.425542Z digest=sha256:e94962994eb5304c05fac0df9097bc07c888e4bd4259a511c15efbbd016d86ca

Observation 00323eb2-230c-4577-9c7e-ec8d29a86b16 · outbound

This paper cites Factchd: Benchmarking fact-conflicting hallucination detection, 2024.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Factchd: Benchmarking fact-conflicting hallucination detection, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.597726Z

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.

source=pdf_text observed=2026-08-08T10:29:50.430340Z digest=sha256:0fce0e81ba346b1ad54f49aea5abeea6932fdbbc9ebf6b672a9da92d5ef40d13

Observation 4e5a8544-d032-46e5-ac8b-297d9d1bc22a · outbound

This paper cites Faithdial: A faithful benchmark for information-seeking dialogue.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Faithdial: A faithful benchmark for information-seeking dialogue

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.577710Z

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.

source=pdf_text observed=2026-08-08T10:29:50.435305Z digest=sha256:f40be783726baa61941c589a75943b1e4f374fb4fbdefcef8dd0f5f6f2baf6aa

Observation 6c4352c5-a1fe-4f84-9f9a-a00a1751c7d4 · outbound

This paper cites Evaluating attribution in dialogue systems: The begin benchmark.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Evaluating attribution in dialogue systems: The begin benchmark

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.558214Z

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.

source=pdf_text observed=2026-08-08T10:29:50.441383Z digest=sha256:419bf56dcc6a7181268dc0522c0322b9e8985144fbf23c2cd99957b0cb8b13ad

Observation 82dfc91a-115a-4819-849f-6777901491ee · outbound

This paper cites The llama 3 herd of models, 2024.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses The llama 3 herd of models, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.540554Z

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.

source=pdf_text observed=2026-08-08T10:29:50.446514Z digest=sha256:e203b686d4b47c50497d453050e090d2b40243c6fb6f69f03e901be8a23e1988

Observation a2915ead-6b6c-4331-80f3-5ad278e06a65 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Lora: Low-rank adaptation of large language models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.521004Z

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.

source=pdf_text observed=2026-08-08T10:29:50.451469Z digest=sha256:670e2ae6970ccf3b8d9de53e9b8f75e13744bd641fc41d88f48de0ae125383c4

Observation 2daa342e-62ae-4126-beb9-2b9e0e261a7c · outbound

This paper cites Gpt-4 technical report, 2024.

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses Gpt-4 technical report, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:29:50.501880Z

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.

source=pdf_text observed=2026-08-08T10:29:50.456781Z digest=sha256:1b6763546d400b5e236f7e11959c2d6465bc046860cc18be99bf7647dac9c471

Pith citing papers

Observation f0a5476d-6ef2-4063-9cb9-57abc06527db · inbound

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T10:24:26.766381Z

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.

source=pdf_text observed=2026-08-07T10:24:26.408324Z digest=sha256:a2ff6621af20f09285c0249f0088c1400740cc250266dd5fe84e1dfdb4eabfa5