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Paper Citation Record · LEDGER

Selecting the Right LLM for eGov Explanations

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.009651Z digest=sha256:6c42b673ed6a79412ba7e170f7b102e7c988fe6f1192adc2d4e35984238c67e6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.014692Z digest=sha256:fd46c06a7f462bcb00d428189b89ddc64c7f04ebc67192ff0a9f95d316ef42a2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.019279Z digest=sha256:6831404275e80bd89f6d49189e78a9b51bd3f58a41606cbfd313949ffa0a4e90

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.023834Z digest=sha256:0fc05efa5f76efb9f3b15a88be262a9e320d8b3411d03e97b8160a5b1a4c001d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.028574Z digest=sha256:d9fba00a5f538192eb901b007ac199732b005ef2fb888215e26151e69ec28975

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.033126Z digest=sha256:6b81b5d3d1b3e1827f5a3c13254259dcbdb31981ce551ecbdfe11ea79679ac1b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.038616Z digest=sha256:0a37094c1bac3f489067988920d9c64f3bb0a298e05841c564951efbda93c4ce

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.043121Z digest=sha256:4bb1c10dbb4b991b08d5d4fa69953dcccd2cba4b9545eb89268a81e0f0cf3dea

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.047855Z digest=sha256:0ce83ecf8d766162e438ccf53eeb0ba8c7c0b369f1858b6f03f1f1539f1e516b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.052771Z digest=sha256:213f8cba2d91798a2ecd720d9c1b3864de42a50ffcaf799360033ce2c333f411

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.057481Z digest=sha256:9fff418dcc267f4a964a2573f0969f55dc923cd0ea6c7521f4b37c8786b31c75

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.063124Z digest=sha256:63386b526c7a45b9c23620c61de9f51ef416de446b44017b0db051da31d471ff

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.067795Z digest=sha256:29e1429f4fc13dbe0f2ec7b1703d904e0a4f656c2da1d9ee238c9ff0b61f370e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.072442Z digest=sha256:41815b221e1a93e55caf88726fb9adbdb4e0ac826221e12820e3d087914c8e47

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.077292Z digest=sha256:edb058ac809089f315e0e5004abfe7f27c1bc2bd73e28db41f206bb49978865d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.082236Z digest=sha256:cd107b8c5b902db89b5cfecacaf7ca2e2b424d0b97c9872e8bc1b97df320acbc

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.086887Z digest=sha256:a66fe1ac402bfeebaf2482cecf0280357865421829863750741e3e29d4113c9c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.091650Z digest=sha256:209c503dd6fcd8ae4f3ea5a375ae1dc7d1bcb6984dffef80c9128e4f829d5aab

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T06:03:08.096827Z digest=sha256:6a0b63bd3dc296770bca9ebe723f0e58b2f4cdc7cf1b942bd5052c36a880dee2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T11:56:10.101012Z digest=sha256:80bce9e6dfbc44393d51f5b85c8bd04dfc1b6e8fad4a743ae6d442128163820a

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