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Paper Citation Record · LEDGER

Selecting the Right LLM for eGov Explanations

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2504.21032.

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

pith.paper-citation-record.v1
2504.21032 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:03:08.096827Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:55:53.645204Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:26:09.476492Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d18dc66-ccc6-4094-90cf-d4742582ee4a · outbound

This paper cites Factors affecting employees’ adoption of e- government in the Iraqi public education sector,.

Selecting the Right LLM for eGov Explanations Factors affecting employees’ adoption of e- government in the Iraqi public education sector,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.425540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.009651Z digest=sha256:1edc73c7a1f418cb6c0611c94fd852ea2a007f6c10f8a45b35f90c55927a7810

Observation 533a073d-9235-4509-b9cd-089e365d6e57 · outbound

This paper cites Trust , Felt Trust and E- Government Adoption : A Theoretical Perspective,.

Selecting the Right LLM for eGov Explanations Trust , Felt Trust and E- Government Adoption : A Theoretical Perspective,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.409399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.014692Z digest=sha256:1e3dfa76cba1db6f205fe153e8a63f69352e4e5956e656fcb6c7140d366103a0

Observation 63c593fd-c0a7-4550-951e-aa93716da839 · outbound

This paper cites The utilization of e-government services: Citizen trust, innovation and acceptance factors,.

Selecting the Right LLM for eGov Explanations The utilization of e-government services: Citizen trust, innovation and acceptance factors,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.393526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.019279Z digest=sha256:791d7faccb540723b334c4ea8a359fec6e64800fd9921755c71f9a2f8ede7da6

Observation 0d959063-91e1-4bb5-bbc2-1fa5fafe33f0 · outbound

This paper cites AI- augmented Business Process Management Systems: A Research Mani- festo,.

Selecting the Right LLM for eGov Explanations AI- augmented Business Process Management Systems: A Research Mani- festo,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.376879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.023834Z digest=sha256:70ae79e4aadde9c512979458fa4988553a822301df5c12ae17245328707fbcd7

Observation 3aca8460-9267-4a26-8621-cf58078c22a3 · outbound

This paper cites Trust in AI: progress, challenges, and future directions,.

Selecting the Right LLM for eGov Explanations Trust in AI: progress, challenges, and future directions,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.360561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.028574Z digest=sha256:018ac03a070a9b63342bc2216aa24d513dfef9a731c7b565db3aacc7adec34f7

Observation 087397eb-7622-47d9-b752-55c5ac07dd24 · outbound

This paper cites Examining the Effect of Social Influence and Facilitating Conditions on E-government Adoption by Employees in Mandatory Condition,.

Selecting the Right LLM for eGov Explanations Examining the Effect of Social Influence and Facilitating Conditions on E-government Adoption by Employees in Mandatory Condition,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.344252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.033126Z digest=sha256:440ddccbec8402c2772a17b4921ca4341a08ef6fdd13dc75f14e092766694710

Observation 30ad45d9-47bd-48d7-93df-f2209c6c7711 · outbound

This paper cites How well can large language models explain business processes as perceived by users?.

Selecting the Right LLM for eGov Explanations How well can large language models explain business processes as perceived by users?

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.328908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.038616Z digest=sha256:53fbaff03361f96a70a49d9a6888f4295a259b553bc0bc793594fc195a600ef8

Observation b02dde38-a8d5-4afd-8a46-3760a5fb8a0e · outbound

This paper cites The WHY in Business Processes: Discovery of Causal Execution Dependencies,.

Selecting the Right LLM for eGov Explanations The WHY in Business Processes: Discovery of Causal Execution Dependencies,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.313915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.043121Z digest=sha256:a90fa68d6b5040ce7ada638cb4a0b3ba2b2edb80f6e2457a9a339670985800a7

Observation 65f9bc1f-6d7c-4eb5-8c5e-9508e911c8de · outbound

This paper cites Business Process Management Architectures,.

Selecting the Right LLM for eGov Explanations Business Process Management Architectures,

Reference 9

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T06:03:08.297152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.047855Z digest=sha256:f61cc02046a3c885980098d41727dacb122b444ec4b6fc3d8bb2378d1099e9fe

Observation b7fb6d32-f4c7-48e7-8f1f-e2bb5c368c71 · outbound

This paper cites van der Aalst, Process Mining.

Selecting the Right LLM for eGov Explanations van der Aalst, Process Mining

Reference 10

Resolution
verified exact
doi, observed 2026-08-16T06:03:08.134369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.052771Z digest=sha256:bd5b020ea1822c3e6b1d19295d1d050233e70ca99ff3f775fd9467a697145bcc

Observation 730d2849-888c-45b8-be69-9f826f427115 · outbound

This paper cites Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI),.

Selecting the Right LLM for eGov Explanations Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI),

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.280595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.057481Z digest=sha256:b172b53a3e73e5b442c3232e6d1742dc2e39192e405eb27fc91be9f1e609a35f

Observation af61380c-5f9a-42f0-a044-de591960eaea · outbound

This paper cites Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportuni- ties,.

Selecting the Right LLM for eGov Explanations Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportuni- ties,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.264654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.063124Z digest=sha256:decd6179f3294989c1a23746cf62879ed954a8e2ac8fc33c191ccf7ce8a3a71b

Observation 9b1c2f73-8010-42dd-8908-43595fcf811d · outbound

This paper cites Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory,.

Selecting the Right LLM for eGov Explanations Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.248871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.067795Z digest=sha256:6990ca339e8c7acec7b84669a3c98fd0c4b1a5d2028fe3c44b153995f4e4bf00

Observation 5fe48c87-c6cc-42bd-9c9d-b7b6d90b0540 · outbound

This paper cites A survey of methods for explaining black box models,.

Selecting the Right LLM for eGov Explanations A survey of methods for explaining black box models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.231944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.072442Z digest=sha256:91868af3ccc754cf28544f4f2d27bdb83fd251179b227bb4e908fa62bd72e370

Observation e1b4c7c4-0562-407a-b8cf-d2237f772b9f · outbound

This paper cites Definition of Generative AI - Gartner Information Technology Glossary.

Selecting the Right LLM for eGov Explanations Definition of Generative AI - Gartner Information Technology Glossary

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.214826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.077292Z digest=sha256:1aa0132d2dcc3895a178695533d284b9b0b32d23bb2ce2cc6366f621d91ba896

Observation 0cbd42e9-4093-42cf-99a8-906dd877fa44 · outbound

This paper cites Hype Cycle for Generative AI (ID G00812271),.

Selecting the Right LLM for eGov Explanations Hype Cycle for Generative AI (ID G00812271),

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.198497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.082236Z digest=sha256:a09f87941c73fbc31c3dda11fa64f469e1bc6dd6f2d17ed3db8ec0908ce93cf8

Observation f1e063ba-1fcd-4bd8-9004-90c15c4cd1ba · outbound

This paper cites Definition of Large Language Models (LLMs) - Gartner Information Technology Glossary.

Selecting the Right LLM for eGov Explanations Definition of Large Language Models (LLMs) - Gartner Information Technology Glossary

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.183631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.086887Z digest=sha256:586133e5874e70b42ceecca0df3b966bdc5f9da12c5f07f4318e5a2120e8d8e1

Observation 03a57a5a-a908-4c11-8f6e-3d0496a017df · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing,.

Selecting the Right LLM for eGov Explanations Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.167759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.091650Z digest=sha256:96e9ad84175a23951e305dba33fb84b029fd5e6c802c29cf7af137cad314f116

Observation a5ff0fe9-4b05-4979-b12f-6c197c617e8d · outbound

This paper cites Explanation Quality Survey - the Tax Refund Case,.

Selecting the Right LLM for eGov Explanations Explanation Quality Survey - the Tax Refund Case,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:03:08.151772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T06:03:08.096827Z digest=sha256:ce14a92e7d7a7042c4406e4f750d6588902508d291f0398f653c8b78a7f1343a

Pith citing papers

Observation 1b5af794-3a17-4a31-a2a6-4e113a8537f6 · inbound

XABPs: Towards eXplainable Autonomous Business Processes cites this paper.

XABPs: Towards eXplainable Autonomous Business Processes Selecting the Right LLM for eGov Explanations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:53.645204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:55:53.645204Z digest=sha256:087de33a6fc3d26ac6436d4db609154979fe5f28da80427248f86048cd283101

Observation 31957c0c-cd05-4b85-81c1-6f9052ba15ab · inbound

On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery cites this paper.

On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery Selecting the Right LLM for eGov Explanations

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:09.479442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T11:56:10.101012Z digest=sha256:558b210fbab2ead2e761b4fcbcd4495b21e4a8cbb8363b0fff4e947aa6d6a5f2

Observation 5ea717fc-4b1e-4f04-8982-78745c380d4b · inbound

On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery cites this paper.

On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery Selecting the Right LLM for eGov Explanations

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-02T15:37:28.656165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:37:28.656165Z digest=sha256:fe06b6b25cd78335629befb64be060099593f696131d2817361d2e652b93efb7