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Paper Citation Record · LEDGER

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models

As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2505.13828.

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

pith.paper-citation-record.v1
2505.13828 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:14:45.994115Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb9056fc-8a1f-4256-a6d5-68a7caa2a0f6 · outbound

This paper cites EOS M290.

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models EOS M290

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:14:46.280307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:14:45.831366Z digest=sha256:0eb38fddff287fe22ab5ac386270c667c5413836cd2c5496b16d6278026ef927

Observation e302e99b-be9a-4aae-beb6-3d0db1ba57ca · outbound

This paper cites Large Language Models for Extrapolative Modeling of Manufacturing Processes.

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models Large Language Models for Extrapolative Modeling of Manufacturing Processes

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:14:45.876048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:14:45.876048Z digest=sha256:e2c236b330c9d1fddc6cb42df1c50ef2bd0c2ccd3aaefd8b18c06c5a14f1fd68

Observation 2232cb1c-c024-4496-995b-2f25151f696f · outbound

This paper cites Large Language Models as Few-Shot Defect Detectors for Additive Manufacturing.

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models Large Language Models as Few-Shot Defect Detectors for Additive Manufacturing

Reference 14

Resolution
malformed identifier
no resolver link, observed 2026-08-15T20:14:45.941150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:14:45.941150Z digest=sha256:3ce95a7615e16bdc87f1977905cbe36834a4c1cb9371b273030e0c45126af1f8

Observation 479bd444-e0cd-4b56-95e1-0b7205877814 · outbound

This paper cites Towards Knowledge-Based Recommender Dialog System.

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models Towards Knowledge-Based Recommender Dialog System

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:14:45.952461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:14:45.952461Z digest=sha256:750513c433d601133e88e85fd8fddfdfa45c7680a153233bd7b75e89e762d9e5

Observation 008c2726-8fc2-446c-a090-b9621f4159f7 · outbound

This paper cites How Much Can RAG Help the Reasoning of LLM?.

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models How Much Can RAG Help the Reasoning of LLM?

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T20:14:45.994115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:14:45.994115Z digest=sha256:b5ab45afc91f7a7496c611324f2a42abd6dd41e470a869ea97ba109c399a289e

Pith citing papers

No inbound Pith citation observations are available.