Paper Citation Record · LEDGER

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models

As of 22 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2506.21861.

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

pith.paper-citation-record.v1
2506.21861 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:24:25.080936Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T00:56:03.459535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:59:49.671937Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy9
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95efb704-6fec-4a99-8b6f-46e9aa88ff5b · outbound

This paper cites an unresolved cited work.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:24:27.235311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dfae7553-dbf4-457e-99ae-a4ec22f4bd7b · outbound

This paper cites an unresolved cited work.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:24:26.657466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d825ac84-d415-4e09-b9d7-ae200dce204d · outbound

This paper cites In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 124–131, Online.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 124–131, Online

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:26.324601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c040b49e-025b-4db4-b8e1-e9d4fb7e6681 · outbound

This paper cites an unresolved cited work.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:24:26.145849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2236964-945e-4efd-913e-d69732280023 · outbound

This paper cites In Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 63–76, Florence, Italy.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 63–76, Florence, Italy

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:25.951035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation efb0ea49-b5ef-4bfe-b022-3013024c42a4 · outbound

This paper cites In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies , pages 132–138, Online.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies , pages 132–138, Online

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:25.753641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 658e0ec2-03be-431d-9937-b53648647816 · outbound

This paper cites Pointer Sentinel Mixture Models.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models Pointer Sentinel Mixture Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:24.478421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5657bffb-9510-4798-a2c7-3290833c28bc · outbound

This paper cites In Proceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1192–1202, Brussels, Belgium.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Proceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1192–1202, Brussels, Belgium

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:26.473028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e71ad5f9-2408-4ea7-a13a-efd966b1276e · outbound

This paper cites In Pro- ceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 276–286, Florence, Italy.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Pro- ceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 276–286, Florence, Italy

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:27.449458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17f0aa45-a5f4-4e55-b43d-5ade0c63efd6 · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 38–45, Online.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 38–45, Online

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:25.530103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation daaa1c91-c895-4a72-86bc-a3291c060382 · outbound

This paper cites In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages 1626–1639, Online and Punta Cana, Dominican Re- public.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages 1626–1639, Online and Punta Cana, Dominican Re- public

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:26.869586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e98701e4-06f7-4205-858a-1050f0de689d · outbound

This paper cites In Find- ings of the Association for Computational Linguistics: EMNLP 2022, pages 2801–2813, Abu Dhabi, United Arab Emirates.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models In Find- ings of the Association for Computational Linguistics: EMNLP 2022, pages 2801–2813, Abu Dhabi, United Arab Emirates

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:27.055816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f874959-31fd-4f98-84c6-98d7928e73bb · outbound

This paper cites ACM Trans.

Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models ACM Trans

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:24:25.289454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation faae0380-e78b-472f-bfb2-d29c2b3453a3 · inbound

Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity cites this paper.

Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:59:49.673175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.