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Paper Citation Record · LEDGER

Genie: Achieving Human Parity in Content-Grounded Datasets Generation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.14367.

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

pith.paper-citation-record.v1
2401.14367 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 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:07:58.441326Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:45:42.798457Z

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 adbcc86a-b692-4d58-a903-75539cbaa64b · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:13:39.642141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:d18f7763d334cd7b2eeb4e4339f2e0122b6eff3643b1920334c6d9147cb23c61

Observation 2d059fd2-4757-463d-8be9-510abfa4e09a · inbound

DeepImagine: Learning Biomedical Reasoning via Successive Counterfactual Imagining cites this paper.

DeepImagine: Learning Biomedical Reasoning via Successive Counterfactual Imagining Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:36:13.945606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:31:50.819449Z digest=sha256:37ee95a6e7a37dc96bad9569095b96533ea345c5d68bcc901bb69160877df0d5

Observation 3a6a502a-79f0-4ba1-9ebf-d271c3857d61 · inbound

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA cites this paper.

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:45:42.800093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T05:07:58.441326Z digest=sha256:88305c828a775c3cee2b0b380e62337083c5dd101874e146ebdc3ec30f66ff72