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Paper Citation Record · LEDGER

Training Question Answering Models From Synthetic Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.09599.

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

pith.paper-citation-record.v1
2002.09599 v1

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:35:38.505128Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:20:59.502539Z

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 d2950d1a-4d2a-45af-ba5c-92777c21d805 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Training Question Answering Models From Synthetic Data

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:20:59.503964Z

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=2026-05-15T21:20:59.128986Z digest=sha256:0eb4f687346b3259c1f758784910fc50c68f2b29c0014aa4eebe174bb05d38bd

Observation 36aaa786-daa3-4c3f-9017-5d7576f56d96 · inbound

LLMs to Support a Domain Specific Knowledge Assistant cites this paper.

LLMs to Support a Domain Specific Knowledge Assistant Training Question Answering Models From Synthetic Data

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.505128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.505128Z digest=sha256:3e0b9c7eed07af05f553f8de11b25ae7fa36e8e5f346e24eb7ae0668d2e07c76