Paper Citation Record · LEDGER

Advancing Question Generation with Joint Narrative and Difficulty Control

As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.06812.

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

pith.paper-citation-record.v1
2506.06812 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:18.380583Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy7
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fca2799e-fa5b-4cac-a383-08e953b60804 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Advancing Question Generation with Joint Narrative and Difficulty Control DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:18.353435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2630de3d-5fb6-483e-a4f2-f2e299fd6c0d · outbound

This paper cites In The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I, page 382–398, Berlin, Hei- delberg.

Advancing Question Generation with Joint Narrative and Difficulty Control In The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I, page 382–398, Berlin, Hei- delberg

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:18.505054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6cdc66cd-2277-4ee8-9a4b-612009c377ad · outbound

This paper cites In Findings of the Asso- ciation for Computational Linguistics: ACL 2024 , pages 4715–4729, Bangkok, Thailand.

Advancing Question Generation with Joint Narrative and Difficulty Control In Findings of the Asso- ciation for Computational Linguistics: ACL 2024 , pages 4715–4729, Bangkok, Thailand

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:18.494372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5cb365c-a13d-4c62-98da-de53964a8610 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Advancing Question Generation with Joint Narrative and Difficulty Control RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:18.363636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c4dd86-22ea-44f7-a55a-f76fa28e0442 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Advancing Question Generation with Joint Narrative and Difficulty Control DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:18.370709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 711add36-50f5-4f20-a730-3daa44c49e21 · outbound

This paper cites In Pro- ceedings of the 2022 Conference on Empirical Meth- ods in Natural Language Processing, pages 670–688, Abu Dhabi, United Arab Emirates.

Advancing Question Generation with Joint Narrative and Difficulty Control In Pro- ceedings of the 2022 Conference on Empirical Meth- ods in Natural Language Processing, pages 670–688, Abu Dhabi, United Arab Emirates

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:18.474367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 594ff98e-43ea-4f51-939c-0be1d4962f1e · outbound

This paper cites why” and “how.

Advancing Question Generation with Joint Narrative and Difficulty Control why” and “how

Reference 13

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:53:18.452208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4dad9f99-ca61-4cf6-a41b-4635ad164ef9 · outbound

This paper cites In Proceedings of the 2016 Conference on Empirical Methods in Natu- ral Language Processing, pages 2383–2392, Austin, Texas.

Advancing Question Generation with Joint Narrative and Difficulty Control In Proceedings of the 2016 Conference on Empirical Methods in Natu- ral Language Processing, pages 2383–2392, Austin, Texas

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:18.484340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebe7553a-7f2f-4ff9-b07c-ee9c5527ca38 · outbound

This paper cites an unresolved cited work.

Advancing Question Generation with Joint Narrative and Difficulty Control Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:53:18.524847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f9a7391-44ec-433a-ab41-1cfd5b90d500 · outbound

This paper cites Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model.

Advancing Question Generation with Joint Narrative and Difficulty Control Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:18.337716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc5fe4b-ff7b-4d7e-85d8-e39109f00bd4 · outbound

This paper cites In Find- ings of the Association for Computational Linguis- tics: ACL 2022, pages 2131–2146, Dublin, Ireland.

Advancing Question Generation with Joint Narrative and Difficulty Control In Find- ings of the Association for Computational Linguis- tics: ACL 2022, pages 2131–2146, Dublin, Ireland

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:18.515356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77094945-8741-40db-834d-6b34eaf2c6f3 · outbound

This paper cites In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 119–129, Toronto, Canada.

Advancing Question Generation with Joint Narrative and Difficulty Control In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 119–129, Toronto, Canada

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:18.464070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 296ad0ad-e32c-47c9-832d-299e31f62cb0 · outbound

This paper cites In Proceed- ings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 17351–17370, Miami, Florida, USA.

Advancing Question Generation with Joint Narrative and Difficulty Control In Proceed- ings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 17351–17370, Miami, Florida, USA

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:18.534225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.