Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:34.448494Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2502.05670.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:34.448494Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
17 of 17 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9ad86c0a-14cc-41a6-b00e-107e268a722e · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
Reference 4
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 16f5e545-59e6-4462-8903-d9ab42eb495f · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Mistral 7B
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aedb887d-8c0f-4a59-97e2-61ee847be4f4 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences In Proceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1192–1202, Brussels, Belgium
Reference 10
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 1629c1bb-ce6c-4131-9b8b-fcebf85bb401 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 318d8f19-f6b5-4d71-99e3-f6e62c8f6713 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences GPT-4 Technical Report
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe051c75-3843-4de4-9b75-9516dbd0b67e · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Training language models to follow instructions with human feedback
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9b3cca7-85a2-46c6-a2cc-4f74c02cc2c2 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies , pages 969–982
Reference 14
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 c3adeed1-3f9c-4575-8629-d4422551dd94 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Association for Computational Linguistics
Reference 17
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 d460bd72-7795-4b44-9e01-6effbb7d2ff1 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Indogermanische Forschungen (1909), 25(1909):110–142
Reference 1909
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 e2af8da5-193a-4132-84a1-0cd37aa8beca · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Journal of Memory and Language , 52(1):58–70
Reference 2005
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 ce3d5129-20e8-4be7-b6b0-6c1c254e7809 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Reference 2016
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 28a67598-43a2-43a6-b617-787e5d414752 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Generalised additive mixed models for dynamic analysis in linguistics: a practical introduction
Reference 2017
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 2e54ccf2-93bc-4b9a-8b25-791c88c39761 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Do RNNs learn human-like abstract word order preferences?
Reference 2018
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 3162070b-ee20-4695-b593-cfcd3d0b36ba · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences What Syntactic Structures block Dependencies in RNN Language Models?
Reference 2019
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 e8db7447-ae67-4959-a12f-133335ed42c8 · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5cc5733-bdd5-437f-8931-e28951fc562b · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences Prompting is not a substitute for probability measurements in large language models
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c501ab9a-b500-40ff-b211-ac1c409069fa · outbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences OLMo: Accelerating the Science of Language Models
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.