Paper Citation Record · LEDGER

Leveraging Large Language Models for Information Verification -- an Engineering Approach

As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.18274.

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

pith.paper-citation-record.v1
2506.18274 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:26:33.050600Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

20 of 20 outbound references displayed

verified exact5
verified fuzzy6
unresolved7
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0923fc3c-c54b-4b0e-8937-3b95659527a9 · outbound

This paper cites Videosummarization usingclustering.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Videosummarization usingclustering

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T23:26:33.142055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4f3c9e2-4780-40cb-8f64-d88f0a172427 · outbound

This paper cites TransNet V2: An effective deep network architecture for fast shot transition detection.

Leveraging Large Language Models for Information Verification -- an Engineering Approach TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:32.944892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56b9b9b-adc1-459c-8285-bbd5eaa6e351 · outbound

This paper cites Asurveyoffakenews:Fundamental theories,detectionmethods,andopportunities.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Asurveyoffakenews:Fundamental theories,detectionmethods,andopportunities

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:32.982394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3124bd24-3017-48bd-aa2a-3bb8b9ce5d4d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Leveraging Large Language Models for Information Verification -- an Engineering Approach An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.411396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a666f457-308d-4a37-b02a-9a04ea9c1d14 · outbound

This paper cites Approachesfor fakenewsaboutcovid-19detection.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Approachesfor fakenewsaboutcovid-19detection

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T23:26:33.124801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 685fc2b0-ead6-40b0-8171-75d9e670cb41 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:26:33.399390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 860c38b4-00f3-4e12-9a64-a6e29db45258 · outbound

This paper cites Deepfakesgenerationanddetection:Ashortsur- vey.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Deepfakesgenerationanddetection:Ashortsur- vey

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T23:26:33.387020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 539476cd-b6dc-4ccc-a084-f2a074d54079 · outbound

This paper cites Areviewoffake newsdetectionapproaches:Acriticalanalysisofrelevantstud- iesandhighlightingkeychallengesassociatedwiththedataset, featurerepresentation,anddatafusion.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Areviewoffake newsdetectionapproaches:Acriticalanalysisofrelevantstud- iesandhighlightingkeychallengesassociatedwiththedataset, featurerepresentation,anddatafusion

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T23:26:33.113789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c92f59e9-4d55-4f16-9911-2b7f292ff5bf · outbound

This paper cites Cluster-based Video Summarization with Temporal Context Awareness.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Cluster-based Video Summarization with Temporal Context Awareness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:33.005687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8684727b-18ae-4856-b5a5-68b6bf84c0d2 · outbound

This paper cites Robustspeechrecognitionvialarge-scaleweaksu- pervision.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Robustspeechrecognitionvialarge-scaleweaksu- pervision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.375581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1729eba9-8c46-439c-89cc-a742d98d9cfc · outbound

This paper cites Developmentandclassi- ficationoffakenewsdetectiontechnology.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Developmentandclassi- ficationoffakenewsdetectiontechnology

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T23:26:33.101460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbf11107-734f-436f-be07-9a1e946bd0c5 · outbound

This paper cites Fakenewsdetection:Acompre- hensivesurveyofdatasets.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Fakenewsdetection:Acompre- hensivesurveyofdatasets

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:33.018057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f71dd93e-f219-4375-abb9-b6681b9ebe56 · outbound

This paper cites Evaluatingtheuseofllmagentsforfact-checking.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Evaluatingtheuseofllmagentsforfact-checking

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:26:33.022433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dc0915b-3506-4a51-aaee-7b54b2663f13 · outbound

This paper cites Assessingandim- proving the logical consistency of large language models on fact-checking.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Assessingandim- proving the logical consistency of large language models on fact-checking

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.364734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 486245ee-75a2-4a66-8d65-7ca070864538 · outbound

This paper cites Deepfake generation and detection: A benchmark and survey.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Deepfake generation and detection: A benchmark and survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:33.030446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0de0c67-fd8c-4175-8684-93000abca4d0 · outbound

This paper cites Asurvey ondeepfakedetectionthroughdeeplearning.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Asurvey ondeepfakedetectionthroughdeeplearning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.353438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0643c192-136d-4c1a-8456-e395a3f39bcc · outbound

This paper cites Generative Large Language Models in Automated Fact-Checking: A Survey.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:33.042580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cfb0758-988f-41e3-8e20-48f1fc96b7f5 · outbound

This paper cites Contentcredentials.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Contentcredentials

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.342806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b5a8284-5138-4e48-94a5-dabf84f8fa69 · outbound

This paper cites Synthiddetector—anewportaltohelpidentifyai- generatedcontent.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Synthiddetector—anewportaltohelpidentifyai- generatedcontent

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.332453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65aa31a3-283a-436b-85a6-025ef3215859 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Unresolved cited work

Reference 2024

Resolution: verified exact; doi, observed 2026-08-06T23:26:33.083242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.