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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:45:23.165838Z

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.874326Z digest=sha256:684e3188aa3b99a395cc9fffc1c60c1709b33163ff24f5649e2537a11f336b8b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.878668Z digest=sha256:b43781aca1b01df21e8aa28a7d851dd6c8491f60480eec0b21620ffd4b9cac94

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.882102Z digest=sha256:85ea7f377b265af1256d8248acfeba1f2668570c9878a739cfc928868ea591f0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.885484Z digest=sha256:261b299e90ab726a3543030893ce0be43979eef57b5f9cc8e08e90b38be28dd6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.889456Z digest=sha256:29df8dd4f1c32782de7e6b60fbb4ca0feeddc95154a75b666755865e48af5acb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.893068Z digest=sha256:f052b37d34134dc2b0758f72d5a1ddbde8da1471d254131bcfbc769696f39415

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.896962Z digest=sha256:7f2964e443b78753f4e7e667b5bd7b57551a35afccdb890511785a9ff3e567de

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.900210Z digest=sha256:5d31e8610f38ea65d2f9b5e16343b78a74b55a6a0633586243b1bc94b568b322

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.903387Z digest=sha256:d338bdf510ac5c055d83db3739e29a7c83ae583f5bcd9b4b0472de69dd13589c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.907113Z digest=sha256:de68a19462bf454aec367f31f8fdf2486edc8b9257d2392fbb642a28936d6d5f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.910474Z digest=sha256:2e374faf93efba00b09e135ddf08b8f739558eaf4313e04e8c69cd2b20f4e585

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T23:31:23.913711Z digest=sha256:4e9fb283af85394dc423fe40be57e229d0f350891a506d07e610d04d4f0e96f8

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=sha256:196e392e656d4c5de3ad27a870c72b75e43c4a4b682bc50b3536234e32b65a69

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T11:59:58.549982Z digest=sha256:e3a2782eaa08174f3afaab73c04cc3fc65dadf41d880de1f525b44f4aab16663

Observation 4e05c68e-1b14-4a17-8632-3b8c3e710119 · inbound

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework cites this paper.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T15:45:23.165838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:45:23.165838Z digest=sha256:ce85c577da7f13e23d19122cf4c48b41b31e2885b54016cc1ca973ef916dcc7f