Paper Citation Record · LEDGER

Learning to Ask: Neural Question Generation for Reading Comprehension

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1705.00106.

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

pith.paper-citation-record.v1
1705.00106 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 2026-08-08T23:35:38.481764Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T06:54:31.359872Z

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 67e35e83-53d4-492c-ab31-b57bd4361764 · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs Learning to Ask: Neural Question Generation for Reading Comprehension

Reference 271

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:54:31.362646Z

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.

Observation 05695576-110b-462e-b4b5-92988f5a7c3c · inbound

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

LLMs to Support a Domain Specific Knowledge Assistant Learning to Ask: Neural Question Generation for Reading Comprehension

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T23:35:38.481764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e98aea-f85e-49c3-8d3b-948ec0f483a3 · inbound

Learning Facts at Scale with Active Reading cites this paper.

Learning Facts at Scale with Active Reading Learning to Ask: Neural Question Generation for Reading Comprehension

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T21:05:45.197094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aecd48c-85ed-42b8-9234-e0e69b1edb79 · inbound

Ask Good Questions for Large Language Models cites this paper.

Ask Good Questions for Large Language Models Learning to Ask: Neural Question Generation for Reading Comprehension

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:37.173922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8635fe07-c049-41af-8f0f-c9c08f2d6b6f · inbound

ActuBench: A Multi-Agent LLM Pipeline for Generation and Evaluation of Actuarial Reasoning Tasks cites this paper.

ActuBench: A Multi-Agent LLM Pipeline for Generation and Evaluation of Actuarial Reasoning Tasks Learning to Ask: Neural Question Generation for Reading Comprehension

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:05.197288Z

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.