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Paper Citation Record · LEDGER

Genie: Achieving Human Parity in Content-Grounded Datasets Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:32.574415Z

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:a301e4338a07d29d27378d84293fef5da033d1f131b1ff8840dd340e076ce472

Observation b1f5342f-4abe-4484-a55d-015b20cf901a · inbound

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation cites this paper.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:32.574415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:32.574415Z digest=sha256:f436b8cc02da296659950ff1d50d22b45231f12a799a49aee5b34b2d028c5b80

Observation 406f68af-d319-4f0e-8e1d-6d6a238cc425 · inbound

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy cites this paper.

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:44.675876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:36:44.675876Z digest=sha256:c1bed2befadb19c56ab1697fef88a16aa99872b83b55c02e3f2c2146c8ccdb7d

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

DeepImagine: Clinical Trial Outcome Prediction via Stepwise Local Counterfactual Imaginations cites this paper.

DeepImagine: Clinical Trial Outcome Prediction via Stepwise Local Counterfactual Imaginations 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T11:31:50.819449Z digest=sha256:0f0dc7044476ac90e1414ab6c14e89b1d838ee9b0784fab0729b8bcc3622680c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T05:07:58.441326Z digest=sha256:8896acc93917823f344037a7fd74be72d3021fc2cfff4e9640c6fe8005ab930c