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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 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:14:45.831366Z digest=sha256:b45e4d33170ea762c888bb587315aa1e395d2503eae60758661633e877985ba9

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=sha256:0ff2f2013734c4fe0d5059c2470c6b026b71844713c60fa3d53df78f25929f02

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=sha256:033004af9e9ba0616267886ed94149cb15f402a87f97e05fde2e6304a659d2e7

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=sha256:48bcede5fc265a0d3a61599c6b2c550f62a22886081504080272226cf78adc8b

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=sha256:8176c288a25852bbcba6037b5abec8472d314d009b85d5ed3ddb752c2ed1d84f

Pith citing papers

No inbound Pith citation observations are available.