Paper Citation Record · LEDGER

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2507.06310.

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

pith.paper-citation-record.v1
2507.06310 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:11:23.984683Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:18:07.162514Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

50 of 50 outbound references displayed

verified exact11
verified fuzzy1
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch7

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a9387205-dea3-40b5-b9fc-562d666ef5e2 · outbound

This paper cites an unresolved cited work.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:11:25.992250Z

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.

Observation de393221-cafe-486a-92cc-23ef5e17b157 · outbound

This paper cites an unresolved cited work.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:11:25.971310Z

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.

Observation 1ed73a22-eeb9-4f0b-8510-61c26f17dc85 · outbound

This paper cites an unresolved cited work.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.751111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f952d5-bd00-4f87-9721-3864c927067e · outbound

This paper cites Procedia Computer Science 246, 3781-3790.https://doi.org/10.1016/j.procs.2024.09.178 Bass, F.M.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Procedia Computer Science 246, 3781-3790.https://doi.org/10.1016/j.procs.2024.09.178 Bass, F.M.,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.755481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc4b7195-8747-4fdf-93cc-2e79c321a1c6 · outbound

This paper cites ISPRS International Journal of GEO -information 9, 581.https://doi.org/10.3390/ijgi9100581 Carrasco-Farre, C.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles ISPRS International Journal of GEO -information 9, 581.https://doi.org/10.3390/ijgi9100581 Carrasco-Farre, C.,

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.810387Z

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.

Observation 14d30ca4-b485-4741-b455-f2bd877ff7ed · outbound

This paper cites Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.778139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4feba3c3-b5b6-4cf3-ad95-9b319bfd88fa · outbound

This paper cites OSF Preprints.https://doi.org/10.31219/osf.io/ey8db He, Z., Cao, P., Wang, C., Jin, Z., Chen, Y., Xu, J., Li, H., Jiang, X., Liu, K., Zhao, J.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles OSF Preprints.https://doi.org/10.31219/osf.io/ey8db He, Z., Cao, P., Wang, C., Jin, Z., Chen, Y., Xu, J., Li, H., Jiang, X., Liu, K., Zhao, J.,

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.678739Z

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.

Observation d1cf492a-9d96-4db3-baee-ae4c68552381 · outbound

This paper cites AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.821077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56242cad-182e-4518-bc64-9e24d3facee8 · outbound

This paper cites Evolution of Social Norms in LLM Agents using Natural Language.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Evolution of Social Norms in LLM Agents using Natural Language

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.826274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d10d1b-e734-49d3-ac66-9bb20c34a0dc · outbound

This paper cites Engineering 40, 202 - 210.https://doi.org/10.1016/j.eng.2024.04.002 Jones, C.R., Bergen, B.K.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Engineering 40, 202 - 210.https://doi.org/10.1016/j.eng.2024.04.002 Jones, C.R., Bergen, B.K.,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.830998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265c2abf-b91c-41cf-9cad-81397626911d · outbound

This paper cites Large Language Models Pass the Turing Test.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Large Language Models Pass the Turing Test

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.835573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f5d4f9-07e7-4194-a9cb-6204fb742dfc · outbound

This paper cites Central European Journal of Operations Research 20, 183 - 230.https://doi.org/10.1007/s10100-011-0210-y Knuuttila, T.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Central European Journal of Operations Research 20, 183 - 230.https://doi.org/10.1007/s10100-011-0210-y Knuuttila, T.,

Reference 23

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.460972Z

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.

Observation 5e4b540b-37ed-4983-b259-ccdacc0b1955 · outbound

This paper cites Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1-18.https://doi.org/10.1145/3706598.3713133 Lin, L., Wang, L., Guo, J., Wong, K.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1-18.https://doi.org/10.1145/3706598.3713133 Lin, L., Wang, L., Guo, J., Wong, K

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.855311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008ac3e8-e8e4-4887-bba9-a0dad1926453 · outbound

This paper cites Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.860646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cdf2498-06bb-408d-a97a-ff520f06d242 · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.866740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b89f5b7d-2578-47af-82a0-6ad04c9bb521 · outbound

This paper cites Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.872080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3353be0b-8f8a-4e09-b45d-40eded8814f6 · outbound

This paper cites 2024 47th MIPRO ICT and Electronics Convention (MIPRO), 2084 - 2088.https://doi.org/10.1109/MIPRO60963.2024.10569238 Rand, W., Rust, R.T.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles 2024 47th MIPRO ICT and Electronics Convention (MIPRO), 2084 - 2088.https://doi.org/10.1109/MIPRO60963.2024.10569238 Rand, W., Rust, R.T.,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.876808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d356d3a-3f69-4eeb-a0cf-03231833d921 · outbound

This paper cites Environmental science & technology 57, 3464 -3466.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Environmental science & technology 57, 3464 -3466

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.892326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135b534f-8c09-4f75-91b4-f48cdc2ec8a4 · outbound

This paper cites Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.897507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26f8b306-6473-4d1c-8203-c78ea916b260 · outbound

This paper cites Energy Economics 101, 105399.https://doi.org/10.1016/j.eneco.2021.105399 Shi, Y., Zeng, Y., Engo, J., Han, B., Li, Y., Muehleisen, R.T.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Energy Economics 101, 105399.https://doi.org/10.1016/j.eneco.2021.105399 Shi, Y., Zeng, Y., Engo, J., Han, B., Li, Y., Muehleisen, R.T.,

Reference 35

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:11:25.473322Z

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.

Observation c4eb0874-67d2-4373-a546-f93ef165947f · outbound

This paper cites Applied Energy 263, 114641.https://doi.org/10.1016/j.apenergy.2020.114641 Tamoyan, H., Schuff, H., Gurevych, I.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Applied Energy 263, 114641.https://doi.org/10.1016/j.apenergy.2020.114641 Tamoyan, H., Schuff, H., Gurevych, I.,

Reference 36

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:11:25.386394Z

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.

Observation aa1b0f27-940e-426e-9851-5b6fe3e7296b · outbound

This paper cites LLM Roleplay: Simulating Human-Chatbot Interaction.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles LLM Roleplay: Simulating Human-Chatbot Interaction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.914181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e7e5a4-b411-4f1e-bae9-6bf9be032c9d · outbound

This paper cites PNAS nexus 3, pgae346.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles PNAS nexus 3, pgae346

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.919349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a370597-0c72-4411-9ef2-c8f92a4649cf · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.924165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f140869-027b-4600-ab9d-7de39a2ae14f · outbound

This paper cites an unresolved cited work.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Unresolved cited work

Reference 40

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:11:25.294872Z

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.

Observation 77ef8d64-60f7-4155-92ff-ab908ae20ae5 · outbound

This paper cites International Conference on Intelligent Multilingual Information Processing, 205 - 218.https://doi.org/10.1007/978-981-96-5123-8_14 Wang, Y., Zhou, Q., Ledo, D., 2024b.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles International Conference on Intelligent Multilingual Information Processing, 205 - 218.https://doi.org/10.1007/978-981-96-5123-8_14 Wang, Y., Zhou, Q., Ledo, D., 2024b

Reference 41

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:11:25.185315Z

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.

Observation 81616d3a-a59e-4cff-857b-bc68af303c47 · outbound

This paper cites Towards Enhanced Immersion and Agency for LLM-based Interactive Drama.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Towards Enhanced Immersion and Agency for LLM-based Interactive Drama

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.939009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f63c56e-2e9b-48a5-8a28-1f150e4c7c64 · outbound

This paper cites Human Simulacra: Benchmarking the Personification of Large Language Models.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Human Simulacra: Benchmarking the Personification of Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.945069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ad6dfd-7803-485b-9f99-b726e744a3a6 · outbound

This paper cites Proceedings of the ACM on Human-Computer Interaction 9, 1-44.https://doi.org/10.1145/3711068 Ye, H., Jin, J., Xie, Y., Zhang, X., Song, G.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Proceedings of the ACM on Human-Computer Interaction 9, 1-44.https://doi.org/10.1145/3711068 Ye, H., Jin, J., Xie, Y., Zhang, X., Song, G.,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.949704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7986dae6-7e3d-4ca2-bc53-21936f2780d1 · outbound

This paper cites arXiv preprint arXiv:2505.08245.https://doi.org/10.48550/arXiv.2505.08245 Yu, T., Zhang, Y.-F., Fu, C., Wu, J., Lu, J., Wang, K., Lu, X., Shen, Y., Zhang, G., Song, D.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles arXiv preprint arXiv:2505.08245.https://doi.org/10.48550/arXiv.2505.08245 Yu, T., Zhang, Y.-F., Fu, C., Wu, J., Lu, J., Wang, K., Lu, X., Shen, Y., Zhang, G., Song, D.,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.955620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75702517-55da-49a3-ac2e-33557926a1fc · outbound

This paper cites Aligning Multimodal LLM with Human Preference: A Survey.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Aligning Multimodal LLM with Human Preference: A Survey

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T19:11:24.054463Z

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.

Observation 6af74c5f-1993-49d4-bb7f-432a75a7176b · outbound

This paper cites Earth System Dynamics 16, 423-449.https://doi.org/10.5194/esd-16-423-2025 Zeng, Y., Dong, P., Shi, Y., Wang, L., Li, Y.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Earth System Dynamics 16, 423-449.https://doi.org/10.5194/esd-16-423-2025 Zeng, Y., Dong, P., Shi, Y., Wang, L., Li, Y.,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.967335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f53d38-b26a-4f4a-b820-43bd15628da7 · outbound

This paper cites Journal of Cleaner Production 256, 120384.https://doi.org/10.1016/j.jclepro.2020.120384 Zeng, Y., Shi, Y., Shahbaz, M., Liu, Q., 2024b.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Journal of Cleaner Production 256, 120384.https://doi.org/10.1016/j.jclepro.2020.120384 Zeng, Y., Shi, Y., Shahbaz, M., Liu, Q., 2024b

Reference 48

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:11:25.098934Z

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.

Observation 5abe53e9-c40e-4ed4-ae18-acb587916e4a · outbound

This paper cites UIUC Spring 2025 CS598 LLM Agent Workshop.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles UIUC Spring 2025 CS598 LLM Agent Workshop

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:11:25.952209Z

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.

Observation 76a61f24-670a-4e60-82a6-fc537d5d469f · outbound

This paper cites Management science 15, 215 - 227.https://doi.org/10.1287/mnsc.15.5.215 Bass, F.M.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Management science 15, 215 - 227.https://doi.org/10.1287/mnsc.15.5.215 Bass, F.M.,

Reference 1969

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.760051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55bf53b0-9c1b-42b5-a2eb-004b30cfd023 · outbound

This paper cites a new product growth for model consumer durables the bass model.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles a new product growth for model consumer durables the bass model

Reference 2004

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:11:25.845528Z

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.

Observation 84a5ab52-e5f3-4679-a419-5798e4e40c58 · outbound

This paper cites Journal of Physics: condensed matter 17, S1259.https://doi.org/10.1088/0953-8984/17/14/015 Hackenburg, K., Ibrahim, L., Tappin, B.M., Tsakiris, M.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Journal of Physics: condensed matter 17, S1259.https://doi.org/10.1088/0953-8984/17/14/015 Hackenburg, K., Ibrahim, L., Tappin, B.M., Tsakiris, M.,

Reference 2005

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.698496Z

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.

Observation 99b0e11f-e1eb-462c-adb6-5ac067d979de · outbound

This paper cites Banishing LLM Hallucinations Requires Rethinking Generalization.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Banishing LLM Hallucinations Requires Rethinking Generalization

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.850578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1fb1c94-c3f9-4805-b3ec-ebd63cc52097 · outbound

This paper cites Renewable and sustainable energy reviews 14, 1070 - 1078.https://doi.org/10.1016/j.rser.2009.11.007 Rillig, M.C., Ågerstrand, M., Bi, M., Gould, K.A., Sauerland, U.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Renewable and sustainable energy reviews 14, 1070 - 1078.https://doi.org/10.1016/j.rser.2009.11.007 Rillig, M.C., Ågerstrand, M., Bi, M., Gould, K.A., Sauerland, U.,

Reference 2010

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.330185Z

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.

Observation ec8a9db9-0988-415c-8bc7-087cde4b02f8 · outbound

This paper cites International Journal of research in Marketing 28, 181-193.https://doi.org/10.1016/j.ijresmar.2011.04.002 Rao, K.U., Kishore, V.V.N.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles International Journal of research in Marketing 28, 181-193.https://doi.org/10.1016/j.ijresmar.2011.04.002 Rao, K.U., Kishore, V.V.N.,

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.881750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55229ea3-2ea1-49db-a5a7-086ca05ea478 · outbound

This paper cites Epidemiologic Perspectives & Innovations 9, 1 - 9.https://doi.org/10.1186/1742-5573-9-1 Epstein, J.M.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Epidemiologic Perspectives & Innovations 9, 1 - 9.https://doi.org/10.1186/1742-5573-9-1 Epstein, J.M.,

Reference 2012

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.731153Z

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.

Observation 18e7e8a0-3138-4908-8c88-e53076ed1204 · outbound

This paper cites Simulating social complexity: A handbook, 39 -58.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Simulating social complexity: A handbook, 39 -58

Reference 2017

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.750370Z

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.

Observation d45198fa-5ada-4748-a575-ca99c9f96ecb · outbound

This paper cites Topics in cognitive science 10, 745-758.https://doi.org/10.1111/tops.12327 Edmonds, B.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Topics in cognitive science 10, 745-758.https://doi.org/10.1111/tops.12327 Edmonds, B.,

Reference 2018

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.767616Z

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.

Observation ae5a11c6-9a84-4c7f-a1da-68f9174e97b7 · outbound

This paper cites Papers in Applied Geography 5, 77-97.https://doi.org/10.1080/23754931.2019.1619193 Claude,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Papers in Applied Geography 5, 77-97.https://doi.org/10.1080/23754931.2019.1619193 Claude,

Reference 2019

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:11:25.728506Z

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.

Observation 79da106c-049d-4ea5-a003-ca34634d85fa · outbound

This paper cites an unresolved cited work.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:11:26.010611Z

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.

Observation fc7745c5-8090-4057-a5ae-1219d1b0be8b · outbound

This paper cites European journal for philosophy of science 11, 65.https://doi.org/10.1007/s13194-021-00374-5 Kokko, H.,.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles European journal for philosophy of science 11, 65.https://doi.org/10.1007/s13194-021-00374-5 Kokko, H.,

Reference 2021

Resolution: verified exact; doi, observed 2026-08-06T19:11:24.445314Z

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.

Observation 690e9e6d-3eb6-4857-ac22-cba625a2edee · outbound

This paper cites Journal of Cleaner Production 367, 132793.https://doi.org/10.1016/j.jclepro.2022.132793 Zhang, Z., Bo, X., Ma, C., Li, R., Chen, X., Dai, Q., Zhu, J., Dong, Z., Wen, J.-R., 2024a.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Journal of Cleaner Production 367, 132793.https://doi.org/10.1016/j.jclepro.2022.132793 Zhang, Z., Bo, X., Ma, C., Li, R., Chen, X., Dai, Q., Zhu, J., Dong, Z., Wen, J.-R., 2024a

Reference 2022

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:11:24.971843Z

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.

Observation 2ae00dee-3df1-4565-b6ce-b4abd4635624 · outbound

This paper cites GPT-4 Technical Report.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.730729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfab6950-fd94-42ce-9bf7-ac42c36c9807 · outbound

This paper cites Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.724411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24678c19-9b22-4390-b225-1b51ca4843b1 · outbound

This paper cites an unresolved cited work.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.806278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a23cf2e8-a331-4077-a293-73be95e8c6e6 · inbound

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs cites this paper.

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-07-21T02:21:19.126461Z

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.