Pith. sign in

Paper Citation Record · LEDGER

Data Analysis in the Era of Generative AI

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18475.

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

pith.paper-citation-record.v1
2409.18475 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:06.339173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:16:04.309001Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bbf54206-7114-47db-b375-4b172f51fd50 · inbound

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens cites this paper.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Data Analysis in the Era of Generative AI

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:06.339173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:06.339173Z digest=sha256:f3c0e646fdbd11247d5a96ea8757766eeafb8c8ddda7b7653538dda520db964b

Observation 1015379f-6021-4e1c-839b-223796f80f60 · inbound

Designing a Lightweight GenAI Interface for Visual Data Analysis cites this paper.

Designing a Lightweight GenAI Interface for Visual Data Analysis Data Analysis in the Era of Generative AI

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T11:21:24.045990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:21:24.045990Z digest=sha256:bc368f845c27f928e326430d5475f1c30809107343a9b5c719ebd03897ce06e0

Observation c5b3a9ce-6f38-4ecb-9f90-4ddb23026892 · inbound

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery cites this paper.

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery Data Analysis in the Era of Generative AI

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:16:04.355950Z

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=2026-05-10T17:14:39.738430Z digest=sha256:aaab36135d542b08ef2b7cb0cb7b4de300ec598d3e9c10598e8e3d8f16948756