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Paper Citation Record · LEDGER

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2508.05188.

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

pith.paper-citation-record.v1
2508.05188 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:31:23.917019Z

measured 15 of 15 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:48:16.573721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:00:03.951370Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact4
  • verified fuzzy6
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05bfbeca-12b3-4763-9a71-7e4ce938eaa9 · outbound

This paper cites EuPRAXIA Conceptual Design Report.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination EuPRAXIA Conceptual Design Report

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:31:24.205839Z

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.

source=pdf_text observed=2026-08-05T23:31:23.874326Z digest=sha256:54de2f57367d21535f2ebd9ce441bcd3ac8be5f528453122e12069ecf88012e3

Observation 1af62f8d-718d-4032-995c-8dd1e780c6a1 · outbound

This paper cites EuPRAXIA@SPARC LAB Design study to- wards a compact FEL facility at LNF.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination EuPRAXIA@SPARC LAB Design study to- wards a compact FEL facility at LNF

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:31:24.196206Z

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.

source=pdf_text observed=2026-08-05T23:31:23.878668Z digest=sha256:5115fa343c3d3780a3bbdb32e5322b81fbfd8c8afa527c0b31b1f629d0c9ed0f

Observation 181029e5-5640-4875-8776-b0e3b0ddc7f8 · outbound

This paper cites Polarization Characterization of Soft X-Ray Radiation at FERMI FEL-2.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Polarization Characterization of Soft X-Ray Radiation at FERMI FEL-2

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:31:24.186255Z

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.

source=pdf_text observed=2026-08-05T23:31:23.882102Z digest=sha256:82b594f0500610937061a35f2d3443b1378dbdd85c9af6afaf829599d923f5b0

Observation 5a223ea1-d41e-441f-9b73-4048c7b015f7 · outbound

This paper cites Short Period Apple-X Undulator Modeling for the AQUA Line of the Future EuPRAXIA@SPARC LAB Facility.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Short Period Apple-X Undulator Modeling for the AQUA Line of the Future EuPRAXIA@SPARC LAB Facility

Reference 4

Resolution
verified exact
doi, observed 2026-08-05T23:31:23.988182Z

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.

source=pdf_text observed=2026-08-05T23:31:23.885484Z digest=sha256:d854b0b1d745020b95cec41ab9aa0eb1d60388bc788a3b8faeccd316d477a493

Observation 8e5f9361-ae98-4328-a947-415ce1e6c768 · outbound

This paper cites XLS-D5.1: Technologies for the CompactLight Undulator.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination XLS-D5.1: Technologies for the CompactLight Undulator

Reference 5

Resolution
verified exact
doi, observed 2026-08-05T23:31:23.977699Z

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.

source=pdf_text observed=2026-08-05T23:31:23.889456Z digest=sha256:ba69d230e52e3ccdb5ab535612d69a21c3ef61bc361a4d8016062965f4a5deab

Observation 216fcbec-7255-4671-a1b2-6ce932d582b9 · outbound

This paper cites Limits on the single-pass higher harmonics FEL operation.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Limits on the single-pass higher harmonics FEL operation

Reference 6

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T23:31:24.144566Z

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.

source=pdf_text observed=2026-08-05T23:31:23.893068Z digest=sha256:60e21761389fc4b88f13c0aab64e644fca400ef2640f482a8b1874bd9192c50f

Observation aebaf7e3-7c6e-44e4-943e-af57b7d0fb9b · outbound

This paper cites Design optimization for an X-ray free electron laser driven by SLAC LINAC.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Design optimization for an X-ray free electron laser driven by SLAC LINAC

Reference 7

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T23:31:24.068805Z

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.

source=pdf_text observed=2026-08-05T23:31:23.896962Z digest=sha256:a82a56fd4f97b8658ef5cfcf8e196c7ed3f0f2beac72d166caae4348ee45fd4b

Observation 02319002-84da-4a28-8972-bf9e4a632940 · outbound

This paper cites Semi-analytical model of self-amplified spontaneous- emission free-electron lasers, including di ffraction and pulse-propagation e ffects.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Semi-analytical model of self-amplified spontaneous- emission free-electron lasers, including di ffraction and pulse-propagation e ffects

Reference 8

Resolution
verified exact
doi, observed 2026-08-05T23:31:23.965754Z

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.

source=pdf_text observed=2026-08-05T23:31:23.900210Z digest=sha256:724f07905c4849bec344c1d7e0fb4a6d7829fd93e5d3d2b9aef27de3f81656b7

Observation 7854114e-6a5b-4a75-9587-e9390d489930 · outbound

This paper cites Giannessi, Private communication (2024).

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Giannessi, Private communication (2024)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:31:24.176664Z

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.

source=pdf_text observed=2026-08-05T23:31:23.903387Z digest=sha256:1c2631ad364039686d521c32c5dd997f1b46f33ca19695c6ed82d7b00500d3ff

Observation 05075f87-a247-4587-9f2a-1454a59b398e · outbound

This paper cites GENESIS 1.3: a fully 3D time-dependent FEL sim- ulation code.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination GENESIS 1.3: a fully 3D time-dependent FEL sim- ulation code

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:31:24.166684Z

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.

source=pdf_text observed=2026-08-05T23:31:23.907113Z digest=sha256:4d0d53fdb75f36eb30ce6d2989adab484c8a54c9aef152a08c828e78df96170e

Observation 78629152-8ed9-4ff7-96d7-b179c0682fbc · outbound

This paper cites Advanced Studies for the Dynam- ics of High Brightness Electron Beams with the Code MILES.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Advanced Studies for the Dynam- ics of High Brightness Electron Beams with the Code MILES

Reference 11

Resolution
verified exact
doi, observed 2026-08-05T23:31:23.954147Z

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.

source=pdf_text observed=2026-08-05T23:31:23.910474Z digest=sha256:1d8c3cecd2d4c4ebe043fa6e0d8d748b8a73c4a1d042360cb657de174a5fdd0b

Observation 7ad143d9-e904-4730-a49f-b31259fc6ad5 · outbound

This paper cites Resistive wall wakefield in the LCLS undulator beam pipe.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Resistive wall wakefield in the LCLS undulator beam pipe

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:31:24.155390Z

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.

source=pdf_text observed=2026-08-05T23:31:23.913711Z digest=sha256:f30d1f0ef21ddfab8532247354612195138b6ca3811620c82e0e2bdb69e2641c

Observation 145a9843-1474-4420-9564-d9586936b874 · outbound

This paper cites Wakefields of Sub-Picosecond Elec- tron Bunches.

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination Wakefields of Sub-Picosecond Elec- tron Bunches

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T23:31:23.917019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:31:23.917019Z digest=sha256:35641b7d390732185602f971a4ce0ce9a2dce3298ad0015ac435c18b5fe0f0e6

Pith citing papers

Observation 47eb6676-d1fa-48e2-9f03-232c399b16ba · inbound

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization cites this paper.

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T18:48:16.573721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:16.573721Z digest=sha256:29452838487332d60a122265bee103ec76ac9b70f1cd1d99eb6f3e334d40a0ba

Observation f03c6a34-76f2-43a3-abfe-8677454b7d92 · inbound

Online Identification of IT Systems through Active Causal Learning cites this paper.

Online Identification of IT Systems through Active Causal Learning Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:00:03.997091Z

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.

source=pdf_text observed=2026-08-05T11:59:58.549982Z digest=sha256:864e820ded35a8c71c91b2c25fd517b940514cef545a1737c4ce8088a224dfbb