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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.874326Z digest=sha256:e8cd24bcbed4b1c0867affa6ecda01654f6c981096e43172bb90b8683c1d7946

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.878668Z digest=sha256:8505da7bb82e062ebe85702831f37789f684abd7080744754732a188f080cac9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.882102Z digest=sha256:2a02b56749101c13a68d3aeb8696e1fb6542931dd058d259ce173e6fd93345c8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.885484Z digest=sha256:874c0a3d7b64166b228c557ffb7fa9802954a549fe96fa9afeeaf4077dafed0b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.889456Z digest=sha256:7f40a37289be71791b98566ff72e9f8ae81315a1167c964f2ed3d0eab9245b61

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.893068Z digest=sha256:df044c617ac86d962c4e43e771e953a9fb0f00a7ca4da08604a99e649ac5b61d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.896962Z digest=sha256:c4f4d2e743c51251143c07ea78b72af5bb5b62bcc567dcae96f47714c3d8acdd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.900210Z digest=sha256:9885670f09a744212859ca21ed8aa4d73241ac71d68a97024c9e9a49fd258d31

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.903387Z digest=sha256:cb626e6df807fcff6a37602da338a06648fc4f84158294d15e458a80df3044a5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.907113Z digest=sha256:50fa8ade3c1cb161826d8de7dc8707efb1efd0f0da347973a96452e8f2b2e68a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.910474Z digest=sha256:513884dcb260408ca5341c9bcccbb71fd83b703c53edf240354ddd398341af3a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:31:23.913711Z digest=sha256:26ea78d89e7d5508b93289ce1a8ee75350f017fcb0fd3d2abbaaf2bb0a063264

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:d45db19bf603b6338417c6b3c0bab72fc7cd70211eb3d84626de9d4389def33e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T11:59:58.549982Z digest=sha256:7fc908096833d0b78dddf1685ad2aa5e20d9cf907c508655e26cd71766f92ed1