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Paper Citation Record · LEDGER

Language Models Largely Exhibit Human-like Constituent Ordering Preferences

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:29:34.413376Z digest=sha256:3014613f714620dcfe8b5086979f0e3801c318a525061eabaddd971301476c89

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.

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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.

source=pdf_text observed=2026-08-08T18:29:34.427923Z digest=sha256:54cf58b97cfefb3fcb26afc44d52873179eaa950b677f57bfbdb2812189f6bf1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:29:34.432993Z digest=sha256:b4a6b2802d6c4bccefecc35581231fc1da98aa2ad143cd6a9ed47e4f51a52cea

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:29:34.448494Z digest=sha256:5d4a7e3f0aa239b4fd88b0701215c790e60b0576e0cc585cb88a9b33d6918b7a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:29:34.368494Z digest=sha256:b0af3c6ed4355e4ef59c42f20ac17a3744c69a48cc67c5cf278f4d4d548e8093

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:29:34.408672Z digest=sha256:c851b8063cec9abfe5d9484ae0261b1be189992c1893b77cacce3db71cad2674

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:29:34.438025Z digest=sha256:906c1755dbef7d0205cdacb67db2277e366555e04a18cbeb7ff5158f1b4f3a8c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:29:34.373848Z digest=sha256:0282e0a828fb5ffa575bb6b37f215fb75be688273ebef5ef6e65bb8abc484e35

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 2026-08-14T06:32:32.682623+00:00.

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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=sha256:08a307751e4e7b0b3757465ded2708ffa065959328e8415557b499040d75aa39

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:b5cadff7fb92abf6cb241a08339cd92b91cabe3a1a1b494392ac31426ede705d

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.