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Paper Citation Record · LEDGER

Deep Generative Model for Mechanical System Configuration Design

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.06016.

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

pith.paper-citation-record.v1
2409.06016 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:11:21.929681Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0c78cfb3-14d7-4644-9215-f2fb06d9bb9d · inbound

e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration cites this paper.

e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration Deep Generative Model for Mechanical System Configuration Design

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-09T12:11:21.929681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:11:21.929681Z digest=sha256:5ea09352dca30ce532bf941b0b9e8c1d96edaaba074329be2371d4d68c3079d8

Observation 4922a89a-54e0-423b-9540-ad42c02766a1 · inbound

Risks of AI-driven product development and strategies for their mitigation cites this paper.

Risks of AI-driven product development and strategies for their mitigation Deep Generative Model for Mechanical System Configuration Design

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:10:17.037797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:10:01.463802Z digest=sha256:5d98ce2ae3d0ba36050d37d50b6ecdd2d055014dcda1b6b02c39bc2ee701e6b4