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Paper Citation Record · LEDGER

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.26015.

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

pith.paper-citation-record.v1
2607.26015 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:56:00.074302Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3c50ea5-ad32-4605-8b91-7f768410d55a · outbound

This paper cites Cognitive psychology , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Cognitive psychology , volume=

Reference 1

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no resolver link, observed 2026-08-01T00:55:59.988656Z

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source=arxiv_source observed=2026-08-01T00:55:59.988656Z digest=sha256:a591bf2acd63a37a5b1ab4b6bab762b8c1ac0d6e12f55a1bf13fb3fc8c479444

Observation ba1ef108-8a5b-48a5-a559-984c32e56bcb · outbound

This paper cites The Llama 3 Herd of Models.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do The Llama 3 Herd of Models

Reference 2

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source=arxiv_source observed=2026-08-01T00:55:59.992146Z digest=sha256:9b51c43f6c8d202edda65a2b37ccca0df1b86350243089a54239e55edb6e6005

Observation 175c22af-5ffa-454e-bc19-b36f9b19ab8b · outbound

This paper cites 2025 , eprint=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do 2025 , eprint=

Reference 3

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source=arxiv_source observed=2026-08-01T00:55:59.996610Z digest=sha256:22292257f8940dd8078cb4b8a3e8f60f22bb689ab8d285a84b5d3246737232e6

Observation e3fb0fdc-72ca-4f13-82ba-e21d2b92e207 · outbound

This paper cites , author=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do , author=

Reference 4

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source=arxiv_source observed=2026-08-01T00:55:59.999493Z digest=sha256:635e6c1d9a83e7487aa5f6750e570005e45c626a3e36a0edd3c022cb49339134

Observation ec083fc8-f141-45f6-8b24-2254966a65f0 · outbound

This paper cites 7.2: Fixes for APIs and requirements , author=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do 7.2: Fixes for APIs and requirements , author=

Reference 5

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source=arxiv_source observed=2026-08-01T00:56:00.002726Z digest=sha256:83a11a23f9b17947a3a7579f47dec22add824de3b79028e023a8c79191f6a0ff

Observation 9c89fac9-b767-4ec7-af85-60e902c2c877 · outbound

This paper cites and Pickering, Martin J.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do and Pickering, Martin J

Reference 6

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source=arxiv_source observed=2026-08-01T00:56:00.006740Z digest=sha256:e3b7aeff2486ee99e0dcad8a634cdf6f24490ce303f7d3abe8f064ca0ade381c

Observation 1ce605e9-4367-41c4-9b50-314b5e845f3b · outbound

This paper cites Journal of social and personal relationships , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Journal of social and personal relationships , volume=

Reference 7

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source=arxiv_source observed=2026-08-01T00:56:00.009589Z digest=sha256:f2f4b473e5cbbcca07bbbc0688eceaf949c2d5b53aa8f18508e0765fe0755f04

Observation 35735368-bfaa-419a-afca-e1940c7d032c · outbound

This paper cites and Bangerter, Adrian , title =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do and Bangerter, Adrian , title =

Reference 8

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source=arxiv_source observed=2026-08-01T00:56:00.012291Z digest=sha256:525126fd95a5b6ab1f708358eb552ca26819b83f6bfd05a45c95c07c888359b4

Observation df119d86-9ec8-4dd5-8072-dd95e1d13661 · outbound

This paper cites and Arnett, Catherine and Chang, Tyler A.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do and Arnett, Catherine and Chang, Tyler A

Reference 9

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verified exact
doi, observed 2026-08-01T01:02:00.481790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-01T00:56:00.015009Z digest=sha256:bdb5f7de4dee09fc14222735c864c03fdcfbc31342a76868fa88018bd4424c8a

Observation 6064045e-039b-4128-aa32-e5581df36c8d · outbound

This paper cites Cognition , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Cognition , volume=

Reference 10

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source=arxiv_source observed=2026-08-01T00:56:00.017699Z digest=sha256:fd4dab87a8daa9f9a82f50f2fd0288da1feece76d1e50ad3834b2c8fd0611fa8

Observation 78db7456-ea8a-4b71-9cdc-d0dba9c05656 · outbound

This paper cites Perspectives on Psychological Science , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Perspectives on Psychological Science , volume=

Reference 11

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source=arxiv_source observed=2026-08-01T00:56:00.020553Z digest=sha256:2aaa5b5cbc7706bbe89e024ac77625608529274dfc116dae3de454333451e1aa

Observation efdf494f-a7fa-4288-a1b0-4d71b949079a · outbound

This paper cites Contexts of Accommodation: Developments in Applied Sociolinguistics , editor =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Contexts of Accommodation: Developments in Applied Sociolinguistics , editor =

Reference 12

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source=arxiv_source observed=2026-08-01T00:56:00.023102Z digest=sha256:d501b285023ca4d3e423baaf7f0b6cab8ab9f67cd12b34c45b1924524cc01c2d

Observation 7d656757-9622-4b3f-bbeb-f2a5aa11f34f · outbound

This paper cites and Garrod, Simon , title =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do and Garrod, Simon , title =

Reference 13

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no resolver link, observed 2026-08-01T00:56:00.025792Z

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source=arxiv_source observed=2026-08-01T00:56:00.025792Z digest=sha256:4867be13e462640214bf45953cfa374764a1f4969341e8352c95ec761a6260cc

Observation 0ef940df-2743-43af-8515-18b7b838a577 · outbound

This paper cites , title =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do , title =

Reference 14

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source=arxiv_source observed=2026-08-01T00:56:00.028504Z digest=sha256:c71971a24f671ae43fdfa484678d445030f3f50f0964f4d0912735d022356bdd

Observation 77f42bba-60f3-4409-8170-8efd4af1fd95 · outbound

This paper cites Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , year =

Reference 15

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source=arxiv_source observed=2026-08-01T00:56:00.031271Z digest=sha256:ed828f28d835c1401d73f9e0cfc53ba1a52c10666a1466d2ebf94ba95fbfe4cc

Observation d3364713-ed5a-4a21-9d48-6e806a0bf21d · outbound

This paper cites Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models

Reference 16

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source=arxiv_source observed=2026-08-01T00:56:00.033759Z digest=sha256:e0b41616247019a0d17703ce4c3b26b75507dfadc13451e342a99d8d00a86250

Observation 26efddcd-5f8a-4104-8b65-d48fd9298fcc · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , year =

Reference 17

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no resolver link, observed 2026-08-01T00:56:00.036507Z

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source=arxiv_source observed=2026-08-01T00:56:00.036507Z digest=sha256:8b388304f48143c43eb80041b725960f27bb5cfbdae2336c2a05a6316c4cd1f8

Observation 615b6898-fe04-4ce4-be3d-4d34c1194fb0 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Findings of the Association for Computational Linguistics: ACL 2024 , year =

Reference 18

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no resolver link, observed 2026-08-01T00:56:00.039099Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:56:00.039099Z digest=sha256:b8565b44232c49106b4ed4c1cba58188db6e03871d2e59f79c98ef0c9246c684

Observation 5548d823-d015-45bc-b993-d39eef9d7378 · outbound

This paper cites Behavioral Sciences , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Behavioral Sciences , year =

Reference 19

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no resolver link, observed 2026-08-01T00:56:00.041779Z

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source=arxiv_source observed=2026-08-01T00:56:00.041779Z digest=sha256:b147ca7dd42dc7eb6212c089373a6db92810e9b9f7134a2e18b727cee54056c9

Observation 3ea0fb82-bf0c-4b4a-866b-80a004c70daa · outbound

This paper cites Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) , year =

Reference 20

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no resolver link, observed 2026-08-01T00:56:00.044279Z

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source=arxiv_source observed=2026-08-01T00:56:00.044279Z digest=sha256:2197312c9210453057360e711f94e5c2727bcafbba94ad2f63f332d8e6a7c646

Observation 5ad03f07-1fa5-4233-8cca-70d0a2ee7883 · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , year =

Reference 21

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no resolver link, observed 2026-08-01T00:56:00.046793Z

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source=arxiv_source observed=2026-08-01T00:56:00.046793Z digest=sha256:6f3ca95ac8128eda96f2c72d3e029a71b4ed11fc88379f25265717ec0858aa02

Observation fd0159b7-284b-4353-9362-3370b45008dd · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year =

Reference 22

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no resolver link, observed 2026-08-01T00:56:00.049304Z

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source=arxiv_source observed=2026-08-01T00:56:00.049304Z digest=sha256:3e2526246258423a0857483712bf37ec5573fdd73d88924371fece21c4565f4a

Observation 6e7370fc-8525-4483-82ef-f9472c9bb221 · outbound

This paper cites Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing , year =

Reference 23

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source=arxiv_source observed=2026-08-01T00:56:00.052208Z digest=sha256:496478a035885e8fc9dda630868d46c755d2ebc85b3d7d21b910a08bed02f7ff

Observation e8271e43-9560-43ed-accd-8af6b5949537 · outbound

This paper cites Fitting Linear Mixed-Effects Models Using.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Fitting Linear Mixed-Effects Models Using

Reference 24

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source=arxiv_source observed=2026-08-01T00:56:00.054932Z digest=sha256:42a85d804199be9a3945dd0267f69f9b5076540ad6ab92aebf93f34b7b679fca

Observation 0c152b7a-ca56-4e34-a3fe-09de0bc55260 · outbound

This paper cites Scandinavian Journal of Statistics , year =.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Scandinavian Journal of Statistics , year =

Reference 25

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source=arxiv_source observed=2026-08-01T00:56:00.057430Z digest=sha256:3aa1a694cb2778323ac78d581523cf3e3caff954fff46c919425b36b7ccf740e

Observation ece8c1d6-ccf8-47e9-99e4-f2daed4931fa · outbound

This paper cites Language and Linguistics Compass , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Language and Linguistics Compass , volume=

Reference 26

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source=arxiv_source observed=2026-08-01T00:56:00.059939Z digest=sha256:69d848af9e4cd6233dca0ddb78427ad587573890819a7eb2be02c0126542880c

Observation 4a34643b-e340-4ec0-ac8f-afe0a191777c · outbound

This paper cites Journal of Memory and language , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Journal of Memory and language , volume=

Reference 27

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no resolver link, observed 2026-08-01T00:56:00.062577Z

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source=arxiv_source observed=2026-08-01T00:56:00.062577Z digest=sha256:f13309cd9854dd2f547847113bd8ce6f28da6cf816fafbd8b152e4ccd577a1c9

Observation 2058abaf-a47d-4a20-b87a-743acc8e4235 · outbound

This paper cites Cognition , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Cognition , volume=

Reference 28

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no resolver link, observed 2026-08-01T00:56:00.064935Z

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source=arxiv_source observed=2026-08-01T00:56:00.064935Z digest=sha256:8b0fa16cd6a76b94d32bdac9f8e8dac5e0da720c64a4a83f318a7ebe9a547db3

Observation df3e1a3f-3196-4e3e-9bef-0c7d6fff88c7 · outbound

This paper cites Cognition , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Cognition , volume=

Reference 29

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no resolver link, observed 2026-08-01T00:56:00.067339Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:56:00.067339Z digest=sha256:9987048ab8f9a530b2449d1ce0efc06de25db6680255e58f029876403f1bc011

Observation 2a075c40-4d74-43fd-8384-ca80f65acbc2 · outbound

This paper cites Proceedings of the workshop on cognitive modeling and computational linguistics , pages=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Proceedings of the workshop on cognitive modeling and computational linguistics , pages=

Reference 30

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no resolver link, observed 2026-08-01T00:56:00.069659Z

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source=arxiv_source observed=2026-08-01T00:56:00.069659Z digest=sha256:ff7664dc97fedc64aa3a6297db8db9c5d1a02d64c49be9458d9b0711bcd2fe53

Observation c71f5785-0ca8-4afc-ba21-0ca501aac652 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do Transactions of the Association for Computational Linguistics , volume=

Reference 31

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no resolver link, observed 2026-08-01T00:56:00.072030Z

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source=arxiv_source observed=2026-08-01T00:56:00.072030Z digest=sha256:b3a4f76932dec94ba25af3f3f32fc9aa94793b1e66da16d300c0a89770a59932

Observation 17fdd509-65ef-4320-b645-0cb45b2fb1cd · outbound

This paper cites NPP—Digital Psychiatry and Neuroscience , volume=.

Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do NPP—Digital Psychiatry and Neuroscience , volume=

Reference 32

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source=arxiv_source observed=2026-08-01T00:56:00.074302Z digest=sha256:dbb6e775fa74ab36dc812aa49d6964423e31add8e64e3c53bc67625523a9f41f

Pith citing papers

No inbound Pith citation observations are available.