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Paper Citation Record · LEDGER

Language Models Largely Exhibit Human-like Constituent Ordering Preferences

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.

pith.paper-citation-record.v1
2502.05670 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:34.448494Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ad86c0a-14cc-41a6-b00e-107e268a722e · outbound

This paper cites RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T18:29:34.662637Z

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.

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Observation 16f5e545-59e6-4462-8903-d9ab42eb495f · outbound

This paper cites Mistral 7B.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Mistral 7B

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:34.402583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:34.402583Z digest=sha256:717d899d5ed0a102fc1b870e01c633dd0cf4ef823efb9a7daa635d92534ad9bf

Observation aedb887d-8c0f-4a59-97e2-61ee847be4f4 · outbound

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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:29:34.751066Z

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=2026-08-08T18:29:34.413376Z digest=sha256:8f58456ff5effb1d5def79e1c430bbd50f96f95d94cb8d0049325d43313d2ed9

Observation 1629c1bb-ce6c-4131-9b8b-fcebf85bb401 · outbound

This paper cites minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:34.418011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:34.418011Z digest=sha256:b14ae731d469a53f9c220faa740dde43768ed595b4764ef09798c2f32f330ede

Observation 318d8f19-f6b5-4d71-99e3-f6e62c8f6713 · outbound

This paper cites GPT-4 Technical Report.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences GPT-4 Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:34.422900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:34.422900Z digest=sha256:d357787ca1bd5b319ff16decd49bd25140d89f3bb14eaeac6bc2bc9b9cd5a38f

Observation fe051c75-3843-4de4-9b75-9516dbd0b67e · outbound

This paper cites Training language models to follow instructions with human feedback.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Training language models to follow instructions with human feedback

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:34.427923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d9b3cca7-85a2-46c6-a2cc-4f74c02cc2c2 · outbound

This paper cites In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies , pages 969–982.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:29:34.734982Z

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=2026-08-08T18:29:34.432993Z digest=sha256:e3e5a72be1f50c0e00f530baa0fcef18ad2237135066d6835f48d8ee299abf13

Observation c3adeed1-3f9c-4575-8629-d4422551dd94 · outbound

This paper cites Association for Computational Linguistics.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Association for Computational Linguistics

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:29:34.718610Z

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=2026-08-08T18:29:34.448494Z digest=sha256:cfd99b36470ebd971522dfafb3ac066080c9a501201dd972152a7a78f33970bd

Observation d460bd72-7795-4b44-9e01-6effbb7d2ff1 · outbound

This paper cites Indogermanische Forschungen (1909), 25(1909):110–142.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Indogermanische Forschungen (1909), 25(1909):110–142

Reference 1909

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:29:34.782343Z

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=2026-08-08T18:29:34.368494Z digest=sha256:db37918d8efeb6fe267ac53e82afcb525f418916c568002fddb456953454285d

Observation e2af8da5-193a-4132-84a1-0cd37aa8beca · outbound

This paper cites Journal of Memory and Language , 52(1):58–70.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Journal of Memory and Language , 52(1):58–70

Reference 2005

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:29:34.766589Z

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=2026-08-08T18:29:34.391338Z digest=sha256:26c6ac4ff714dd726ed0655aeefb56ad83a09bf7cc7dd836c2266da3b1ada84f

Observation ce3d5129-20e8-4be7-b6b0-6c1c254e7809 · outbound

This paper cites Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

Reference 2016

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T18:29:34.590588Z

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=2026-08-08T18:29:34.408672Z digest=sha256:00cfa874339c35536c5deb077cced9d5c85d024a607175a3df80394f45806492

Observation 28a67598-43a2-43a6-b617-787e5d414752 · outbound

This paper cites Generalised additive mixed models for dynamic analysis in linguistics: a practical introduction.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Generalised additive mixed models for dynamic analysis in linguistics: a practical introduction

Reference 2017

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T18:29:34.518449Z

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=2026-08-08T18:29:34.438025Z digest=sha256:e50e3da6c0dfdd2c11744befae93972b495ec3ce568b976cd5dc3f7a306f23e9

Observation 2e54ccf2-93bc-4b9a-8b25-791c88c39761 · outbound

This paper cites Do RNNs learn human-like abstract word order preferences?.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Do RNNs learn human-like abstract word order preferences?

Reference 2018

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T18:29:34.685860Z

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=2026-08-08T18:29:34.373848Z digest=sha256:fa25f07a8639210d55841bdcb68bad1e37da2f0360d78916a82e1e3dc37b964f

Observation 3162070b-ee20-4695-b593-cfcd3d0b36ba · outbound

This paper cites What Syntactic Structures block Dependencies in RNN Language Models?.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences What Syntactic Structures block Dependencies in RNN Language Models?

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T18:29:34.495277Z

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=2026-08-08T18:29:34.442968Z digest=sha256:347e5a848d5b17c9e24948711170e8a817d9704f26e36f6791f8c259d2fc42ea

Observation e8db7447-ae67-4959-a12f-133335ed42c8 · outbound

This paper cites On the proper role of linguistically-oriented deep net analysis in linguistic theorizing.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences On the proper role of linguistically-oriented deep net analysis in linguistic theorizing

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:34.362777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:34.362777Z digest=sha256:7b8231bfd76cfc85a42ee716e859ba437a1d69f2e0b454ad7e101a9685a5455d

Observation a5cc5733-bdd5-437f-8931-e28951fc562b · outbound

This paper cites Prompting is not a substitute for probability measurements in large language models.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences Prompting is not a substitute for probability measurements in large language models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:34.397143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:34.397143Z digest=sha256:ae88dbcfd281fe4f195e6ef9908735aabf38641d2cb1192d0840c672c79d91ea

Observation c501ab9a-b500-40ff-b211-ac1c409069fa · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Language Models Largely Exhibit Human-like Constituent Ordering Preferences OLMo: Accelerating the Science of Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T18:29:34.385326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:29:34.385326Z digest=sha256:330afcbf1d3a197ca5978e50ef8ab3bd76d86c1f6a31f3c11d693e85ab8fbb69

Pith citing papers

No inbound Pith citation observations are available.