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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:78a951aee82a75fc9e6d419e02f51cf9f50d29a0fdc4d1651a911b221550967f

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:df169203aa8e775482168e762fb11dcdad3a3897c85103d2d22c9bf28b278fff

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:cb3be5c474ceb940527495fb50262990042776005521047e731248661bf8dc91

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:cd1cc6945894410515c4c4f33fc6a9669b7a9e75b24311c2bbd48bc4cc893f27

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-reported events for the cited work

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source=arxiv_source observed=2026-08-01T00:56:00.002726Z digest=sha256:85d0a86d2493516417e5656b8933bb892636a1bc486dcafaf380b9d30b941a39

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=sha256:799a40023ef165bbf9bb988e2412ed8a2303a0e621d150d77ece0721e949075c

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=sha256:8add220b05550529520066d330a72726630b26d26f3751ed8822b6962a3d267d

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=sha256:00ec43852e82652ee4f8fca38c878e81c0056b06cd23e41895056a2c8f1abcda

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-01T00:56:00.015009Z digest=sha256:ba7bba53ee09773d8443b397bb967da4b3e4e0dfdc17459210d811403e189c66

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:c23c1d7e0fbd39ff7dbdf94ed2b62c31916337377dcbcee2c7e5e1d384e45f81

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=sha256:89e4f1cd6633efb9c314a9f045fb35223345f1924978e8f52c66aca530d9ad92

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=sha256:5af8f004a6de26505ef40ef25c3e47f57af8a7e251ea3c0ec91ef5ba97a5d883

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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source=arxiv_source observed=2026-08-01T00:56:00.025792Z digest=sha256:6ad4ffb17a03759e087764a51a0eed9c662f9feb59f4b36a6d469d295eb6571c

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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no resolver link, observed 2026-08-01T00:56:00.028504Z

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source=arxiv_source observed=2026-08-01T00:56:00.028504Z digest=sha256:1accf2655f84ac37c5190e8c6b086386ca6c11830676908d7f38d0b63f9f4b1b

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=sha256:1cbab2f003965c53118d3dc541da97687a6dfa1f942f9a2c73bd0b847b838c38

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=sha256:113327919695439778b343e3b75ad886c4a625c4f55685c144202d027d461df5

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:56:00.036507Z digest=sha256:10a1b818d69ea66130de5e461f843f065c6d1d055811a383d3e8e7d0a97f9e10

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:56:00.039099Z digest=sha256:430e42106bdd00a1a92a725b34f855d181483d5b49d423d982c9b50ad46cbd35

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=sha256:98590ec30e9c7d9d83dcc4acc064385b2aa71d6a9e4a6156f4dd5c1ba6e7bcb2

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=sha256:665ea64c1feea2014162d784d4735cf8fb0c48d506cbcd2f3dac10b34775e888

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=sha256:587c86e728d92a3396033bd3f27d64b721aee140bf272f4ba850ff28c05b9208

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:56:00.049304Z digest=sha256:62e1942664e0613c9d483b332c9e215075a53e461f9ea938ae741a01c5df6425

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:c4a4eebb60b733ea13f28a11b097cc9d6fa62b4936328bed15b1328c5bd0b6ff

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=sha256:7af0e5097ad70241d56d0074f0ca45dac974afc10d59f7d5bc3ede51461c5419

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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no resolver link, observed 2026-08-01T00:56:00.057430Z

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source=arxiv_source observed=2026-08-01T00:56:00.057430Z digest=sha256:0fb886aa5b542fda27bd09bf5ac058b3112d318b7c6b1355b3f113fcf57e2c42

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=sha256:0be7d5232d4a49612b4b09792d635aee2ee9bc0807f0bc601a96fb353e5da326

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=sha256:5eceeb27627e5e321dd2224edb821f5e78263443ce3d8537c22c58d3b5a32b0f

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=sha256:3b4c46bd856a54b387563d8679cf6313c8ac249ef5e0d4e3b2bbe023f5b9763b

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=sha256:2f301697260ca41262ef817d7ac41c1d9e3e25385a6a456446aa112f7b8ba2e2

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:56:00.069659Z digest=sha256:003a4696243e363c3e44b980b39756c0d863bbc284dd11274e261ede28039d57

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=sha256:30e9c46c6f7e2750dafc71ce2c410140345d878c240b77daf6c15fd07d2d0d89

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=sha256:7b134b74256d7c7ddc8e9ed9978822b5b294f301e37ac85d6b122df39189d3eb

Pith citing papers

No inbound Pith citation observations are available.