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Paper Citation Record · LEDGER

Thinking beyond the anthropomorphic paradigm benefits LLM research

As of 8 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 4 inbound Pith citation observations for arXiv:2502.09192.

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

pith.paper-citation-record.v1
2502.09192 v2

Coverage vector

measured 93 of 93 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:21:52.744377Z

measured 97 of 97 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:50:27.462800Z

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

93 of 93 outbound references displayed

  • verified exact6
  • verified fuzzy27
  • unresolved60
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation dd3723b9-f5cf-43a3-9ff5-7cd362896424 · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 1

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Observation eae1c0a2-40b5-4169-86a3-7abe7282a859 · outbound

This paper cites Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models

Reference 2

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Observation 4a1b3355-29c5-47f0-b491-30fd4b9190fb · outbound

This paper cites All Too Human? Map- ping and Mitigating the Risk from Anthropomorphic AI.

Thinking beyond the anthropomorphic paradigm benefits LLM research All Too Human? Map- ping and Mitigating the Risk from Anthropomorphic AI

Reference 3

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Observation a813b98c-bd1a-4168-a166-5324886f00cc · outbound

This paper cites Language Models as Agent Models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Language Models as Agent Models

Reference 4

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Observation ad9963d6-cd80-40db-94f0-ba8854bb478a · outbound

This paper cites Claude’s character, Jun 2024.

Thinking beyond the anthropomorphic paradigm benefits LLM research Claude’s character, Jun 2024

Reference 5

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Observation 765795f3-e6c8-4185-b037-98706b7aeed6 · outbound

This paper cites alignment faking in large language models.

Thinking beyond the anthropomorphic paradigm benefits LLM research alignment faking in large language models

Reference 6

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Observation 293fc21f-cecc-4c4c-8bc4-7e7afb7bd079 · outbound

This paper cites arxiv dataset, 2024.

Thinking beyond the anthropomorphic paradigm benefits LLM research arxiv dataset, 2024

Reference 7

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Observation c1867968-d5e5-421b-b447-9a48bdd74f97 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Thinking beyond the anthropomorphic paradigm benefits LLM research Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 8

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Observation 95ad95a5-a2a6-4fa9-a26c-426789a46716 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Thinking beyond the anthropomorphic paradigm benefits LLM research Constitutional AI: Harmlessness from AI Feedback

Reference 9

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Observation 1d7c49eb-8a11-4bd1-a8a7-87031ed3a4a7 · outbound

This paper cites Feedback control of flexible systems.

Thinking beyond the anthropomorphic paradigm benefits LLM research Feedback control of flexible systems

Reference 10

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Observation 2151762a-de19-48bb-8bc3-d14798c050e5 · outbound

This paper cites Engineering ai systems: Architecture and devops essentials, 2025.

Thinking beyond the anthropomorphic paradigm benefits LLM research Engineering ai systems: Architecture and devops essentials, 2025

Reference 11

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Observation 997710cd-01a1-49c1-a414-5c4336d38e38 · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 12

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Observation c1ed3b76-3bd9-4d6c-b2a3-703a2f27576a · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Thinking beyond the anthropomorphic paradigm benefits LLM research Mechanistic Interpretability for AI Safety -- A Review

Reference 13

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Observation 9b7f5563-c6c7-4376-b5a2-de620cd58a55 · outbound

This paper cites B., Skjuve, M., and Følstad, A.

Thinking beyond the anthropomorphic paradigm benefits LLM research B., Skjuve, M., and Følstad, A

Reference 14

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Observation 5442f2d1-7421-448f-9ebf-b2454b467892 · outbound

This paper cites C., Burgers, C., and Steen, G.

Thinking beyond the anthropomorphic paradigm benefits LLM research C., Burgers, C., and Steen, G

Reference 15

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Observation 4f884212-4558-4739-9346-4779b06398c1 · outbound

This paper cites The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence.

Thinking beyond the anthropomorphic paradigm benefits LLM research The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence

Reference 16

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Observation 7dc7c782-b221-45b8-b989-3fd527b53881 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Thinking beyond the anthropomorphic paradigm benefits LLM research Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 17

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Observation 526e8617-104d-40f6-ab93-e9d62e1244be · outbound

This paper cites ChatBench: From Static Benchmarks to Human-AI Evaluation.

Thinking beyond the anthropomorphic paradigm benefits LLM research ChatBench: From Static Benchmarks to Human-AI Evaluation

Reference 18

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Observation 2726f1e4-4ac3-4e3c-8a5e-5032b510e029 · outbound

This paper cites A survey on evaluation of large language models.ACM Transactions on Intelligent Systems and Technology, 15(3):1–45, 2024.

Thinking beyond the anthropomorphic paradigm benefits LLM research A survey on evaluation of large language models.ACM Transactions on Intelligent Systems and Technology, 15(3):1–45, 2024

Reference 19

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Observation 829c108a-7920-43b6-aa6c-af2431740eca · outbound

This paper cites AnthroScore: A computational linguistic measure of anthropomorphism.

Thinking beyond the anthropomorphic paradigm benefits LLM research AnthroScore: A computational linguistic measure of anthropomorphism

Reference 20

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Observation 20f04049-c61c-40ac-b94a-930a1de88d28 · outbound

This paper cites From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors.

Thinking beyond the anthropomorphic paradigm benefits LLM research From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors

Reference 21

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Observation 015f8b5c-26f4-4fc7-9150-19a4959f67c0 · outbound

This paper cites O., Moran, J.

Thinking beyond the anthropomorphic paradigm benefits LLM research O., Moran, J

Reference 22

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Observation ad943cef-460b-4bc2-af05-ac3eafddfb65 · outbound

This paper cites Anthropomorphism as cognitive bias.

Thinking beyond the anthropomorphic paradigm benefits LLM research Anthropomorphism as cognitive bias

Reference 23

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Observation 10cec0db-1dd8-4601-9b68-dc42bc244385 · outbound

This paper cites Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis.

Thinking beyond the anthropomorphic paradigm benefits LLM research Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis

Reference 24

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Observation 9ef9546b-a5f1-4f3f-bd92-ab55cfa70bc2 · outbound

This paper cites The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms.

Thinking beyond the anthropomorphic paradigm benefits LLM research The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Reference 25

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Observation 479232ed-8fd7-469e-bada-ee5125529c55 · outbound

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Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

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Observation 83f54ad0-94f0-4f5e-a728-cdeaad3f9fc3 · outbound

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Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 27

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Observation 945accff-2d46-44ba-a70b-9950d935825d · outbound

This paper cites and So, R.

Thinking beyond the anthropomorphic paradigm benefits LLM research and So, R

Reference 28

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Observation 1baf12e3-c03d-4f9a-b5ac-4a22d6e448db · outbound

This paper cites A mind like mine: The exceptionally ordinary underpinnings of anthropomorphism.

Thinking beyond the anthropomorphic paradigm benefits LLM research A mind like mine: The exceptionally ordinary underpinnings of anthropomorphism

Reference 29

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Observation 3469156a-f871-42a8-89cf-26d5ce89ba15 · outbound

This paper cites An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide.

Thinking beyond the anthropomorphic paradigm benefits LLM research An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 30

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Observation ad056b6d-2c4b-4731-935b-3de3d0f92285 · outbound

This paper cites S., Zhang, A.

Thinking beyond the anthropomorphic paradigm benefits LLM research S., Zhang, A

Reference 31

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Observation 4626cfac-4b6a-4fb6-bab3-3dd94904cb23 · outbound

This paper cites and Nobre, A.

Thinking beyond the anthropomorphic paradigm benefits LLM research and Nobre, A

Reference 32

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Observation 53c7f8bb-d446-468a-8581-74fab89a2d1c · outbound

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Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 33

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Observation c9236362-6a9b-4da3-8554-f1ac08970c0d · outbound

This paper cites Improving alignment of dialogue agents via targeted human judgements.

Thinking beyond the anthropomorphic paradigm benefits LLM research Improving alignment of dialogue agents via targeted human judgements

Reference 34

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Observation cd6e4449-2652-4cb2-b689-4367a596cb08 · outbound

This paper cites Alignment faking in large language models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Alignment faking in large language models

Reference 35

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Observation 8d4db5c8-7c84-4b20-b23a-fcd3c29f0df9 · outbound

This paper cites The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity.

Thinking beyond the anthropomorphic paradigm benefits LLM research The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity

Reference 36

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Observation ee9434b0-9798-41a7-89a8-bae5d1f60908 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Thinking beyond the anthropomorphic paradigm benefits LLM research Training Large Language Models to Reason in a Continuous Latent Space

Reference 37

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Observation bd7f2d1c-b70b-483b-ab41-a2cf2260d9a4 · outbound

This paper cites Instruction Following without Instruction Tuning.

Thinking beyond the anthropomorphic paradigm benefits LLM research Instruction Following without Instruction Tuning

Reference 38

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Observation 96470a64-a179-4dff-ae32-6cccee203eab · outbound

This paper cites We need a science of evals, Apr 2024.

Thinking beyond the anthropomorphic paradigm benefits LLM research We need a science of evals, Apr 2024

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.557620Z digest=sha256:d4316624c4edfdd4e92aa13a0f512b40b3f8e1591f804ac37ba9f656e0e166d9

Observation a172ca8d-2313-412d-ad7a-013eb59461b0 · outbound

This paper cites Characterizing and modeling harms from interactions with design patterns in AI interfaces.

Thinking beyond the anthropomorphic paradigm benefits LLM research Characterizing and modeling harms from interactions with design patterns in AI interfaces

Reference 40

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local_arxiv, observed 2026-08-07T22:21:53.332599Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.560832Z digest=sha256:8efe5cdd24f6b84cc1f7fe7daeb8d85def19647992d3a76c03d9c990146d3c34

Observation 5684cbbe-bc07-48f8-940e-8b40488ef2e4 · outbound

This paper cites R., McKee, K.

Thinking beyond the anthropomorphic paradigm benefits LLM research R., McKee, K

Reference 41

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source=pdf_text observed=2026-08-07T22:21:52.564212Z digest=sha256:504b6b49413f13c49cca802ee32bc0b32adc30dc5e0db82d970e0ca12f32b95b

Observation 9d7b23bd-6dea-4c25-8580-33bd658b038d · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-07T22:21:52.567451Z digest=sha256:ae0053bce784bbd31d850fe9a861bf6286789c67f6e8f1cf92dd75be64d076c8

Observation 0353cae4-aa74-451f-9a58-ea4c964ccdc3 · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 43

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.570850Z digest=sha256:203a3c8da4152d28c7aba79805fb0b047ae7236e2590a8daa2a841e15424217d

Observation 5b6e8eeb-3b6e-41e2-9fbd-e5caf3e77448 · outbound

This paper cites Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models

Reference 44

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source=pdf_text observed=2026-08-07T22:21:52.573953Z digest=sha256:d03b68617755e326e634c8a03b6fdc0c2bea164acb8dff3be6162f14661795b1

Observation 2932c929-5f41-4754-bfab-a7c1bb4c1407 · outbound

This paper cites MrT5: Dynamic Token Merging for Efficient Byte-level Language Models.

Thinking beyond the anthropomorphic paradigm benefits LLM research MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

Reference 45

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no resolver link, observed 2026-08-07T22:21:52.578039Z

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source=pdf_text observed=2026-08-07T22:21:52.578039Z digest=sha256:4f9f12637f3bb04eb2fa8a0dcccb69d34f7323270cb8ec70eceb2751eed94c07

Observation b84ee42f-d668-472e-a607-6a8f29a30090 · outbound

This paper cites and Gabriel, I.

Thinking beyond the anthropomorphic paradigm benefits LLM research and Gabriel, I

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.134177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.581290Z digest=sha256:39099b0ed278d44ca107b9bdcc3402ab7a6f5f8869a6a0af10ac3cee2a346311

Observation 554d5d5d-13e8-44c4-ab72-c774369a5a44 · outbound

This paper cites What do tokens know about their characters and how do they know it?.

Thinking beyond the anthropomorphic paradigm benefits LLM research What do tokens know about their characters and how do they know it?

Reference 47

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no resolver link, observed 2026-08-07T22:21:52.584428Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T22:21:52.584428Z digest=sha256:fd3e9b7945b887ac806133a6e49a80335b62d36c3b909bf3f2ff691d4442a539

Observation ffb41279-a39d-45dd-84a2-a5c962ddf42f · outbound

This paper cites T., and Bernstein, M.

Thinking beyond the anthropomorphic paradigm benefits LLM research T., and Bernstein, M

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.125688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.587946Z digest=sha256:e55407889515a74d3be5cafdd9a3ac82eac0efdead7e596e22a58cd88e8b5c9a

Observation 5f2d38a8-0ffa-4adc-9530-069f08c31510 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Thinking beyond the anthropomorphic paradigm benefits LLM research DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 49

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no resolver link, observed 2026-08-07T22:21:52.591510Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T22:21:52.591510Z digest=sha256:d5038005205abd456c5dbd1d1f530a42d8ecb77c52bc66754e9df455a9dbddbf

Observation 3b929376-432b-4282-9211-7a2ad3be4b8f · outbound

This paper cites Dynabench: Rethinking Benchmarking in NLP.

Thinking beyond the anthropomorphic paradigm benefits LLM research Dynabench: Rethinking Benchmarking in NLP

Reference 50

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no resolver link, observed 2026-08-07T22:21:52.595165Z

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source=pdf_text observed=2026-08-07T22:21:52.595165Z digest=sha256:7f1ad63508da0077f5898694495568aa64754036ef67ab0dd2ada18c1d4d9b68

Observation 4fa3ec9a-b2ed-4aaf-b9b1-7d36ab8d5d2a · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Thinking beyond the anthropomorphic paradigm benefits LLM research SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 51

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source=pdf_text observed=2026-08-07T22:21:52.599132Z digest=sha256:a0717e95cd62e15da93e1c83a8c9911b5952b643db8ef2d42135ade3e5bc5c91

Observation 5c716d8e-9455-4227-a173-ceee1906124d · outbound

This paper cites and Johnson, M.

Thinking beyond the anthropomorphic paradigm benefits LLM research and Johnson, M

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.116244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.602716Z digest=sha256:40bba706004d09b0f8b8c6bc7b93dea54890db3dae276ad79c4a922ea905b3f4

Observation 18f22548-1c60-4880-97f0-909903146530 · outbound

This paper cites Crafting papers on machine learning.

Thinking beyond the anthropomorphic paradigm benefits LLM research Crafting papers on machine learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.106778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.605962Z digest=sha256:fba948b97c138d3aa1ecb07615a6da58400c0b33cbbe9496135883eac31e30a2

Observation dbd3dc47-1836-47b9-8025-c905119fb2d8 · outbound

This paper cites Eliciting Human Preferences with Language Models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Eliciting Human Preferences with Language Models

Reference 54

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no resolver link, observed 2026-08-07T22:21:52.609134Z

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source=pdf_text observed=2026-08-07T22:21:52.609134Z digest=sha256:e7eab3484b2d77dbdc09d90b7ebaf0addf4cc94249da1d6f2c5c7aa4c50823b8

Observation 8a293c91-6a0c-4682-9868-e354963cd725 · outbound

This paper cites Warmth, competence, and the determinants of trust in artificial intelligence: A cross-sectional survey from china.International Journal of Human–Computer Interaction, pp.

Thinking beyond the anthropomorphic paradigm benefits LLM research Warmth, competence, and the determinants of trust in artificial intelligence: A cross-sectional survey from china.International Journal of Human–Computer Interaction, pp

Reference 55

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raw_fallback, observed 2026-08-07T22:21:54.097042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.612672Z digest=sha256:27246a848052d7f509ea9499ee80c3a89d0ded02bc301c6f7b33724ab8585b7b

Observation 785e9a45-d530-4cc0-a978-16f46fd0f709 · outbound

This paper cites Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation.

Thinking beyond the anthropomorphic paradigm benefits LLM research Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation

Reference 56

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no resolver link, observed 2026-08-07T22:21:52.615776Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T22:21:52.615776Z digest=sha256:76699e1453cd36d63adcdc42414b025c0a912eaf3dc515269923203cd5e156a6

Observation bf5e3612-69f4-4e28-bf35-c18ba9a544bc · outbound

This paper cites Dartmouth workshop.

Thinking beyond the anthropomorphic paradigm benefits LLM research Dartmouth workshop

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.087335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.619924Z digest=sha256:41a2662ffac9ed7363eadbb9b23e03d04706fc2c2c8c11680801c8888849f77d

Observation 8c63c15f-3839-40f2-8edf-b775ae7a1c1a · outbound

This paper cites L., Rochester, N., and Shannon, C.

Thinking beyond the anthropomorphic paradigm benefits LLM research L., Rochester, N., and Shannon, C

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.077302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.623193Z digest=sha256:93b8de75e6a8bc5cf3c0ab6046ca302b2968839248f014a4f36b0943658bba7d

Observation 82a7728d-c64b-4e0f-b73e-d18dfa7cce69 · outbound

This paper cites Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve.

Thinking beyond the anthropomorphic paradigm benefits LLM research Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve

Reference 59

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no resolver link, observed 2026-08-07T22:21:52.626878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.626878Z digest=sha256:1e9d290a401bb66e513cbad81af47ac2f5278416110244b0615ef874eac78790

Observation 399208c7-5170-466b-8ea5-eb96c11bda23 · outbound

This paper cites When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1.

Thinking beyond the anthropomorphic paradigm benefits LLM research When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 60

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T22:21:52.630304Z digest=sha256:065f81689524bac60738a5978c85191154b98873ce40c9bb52b801c3c4aac2c6

Observation 964ab797-ca78-4c87-baaa-c7e8d65768a2 · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 61

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unresolved
raw_fallback, observed 2026-08-07T22:21:54.067151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.633906Z digest=sha256:961122c98de988cef8a0579512cf8ef4f594c48fc91028274e75ae78488098e1

Observation a8a06fa9-cc13-4d67-9b71-0b04cd6b28c7 · outbound

This paper cites State of what art? a call for multi-prompt llm evaluation.

Thinking beyond the anthropomorphic paradigm benefits LLM research State of what art? a call for multi-prompt llm evaluation

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.057272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.637005Z digest=sha256:7153a98f018625ac9aa51a8063005e897ab542178544a842b82fd54f09e0b9e7

Observation 4f8c36ef-1500-42a9-b732-b518f01ab782 · outbound

This paper cites Sometimes our anthropocentric assumptions about how intelligence "should" work (like using language for reasoning) may be holding AI work back., March 2024.

Thinking beyond the anthropomorphic paradigm benefits LLM research Sometimes our anthropocentric assumptions about how intelligence "should" work (like using language for reasoning) may be holding AI work back., March 2024

Reference 63

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raw_fallback, observed 2026-08-07T22:21:53.026179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.640115Z digest=sha256:7839f420b71458cdb2d2ee8fbead9f611c1639f314b57a9d495246a99ebefa85

Observation 83223538-6311-49d3-8ea3-d7a6f18f390c · outbound

This paper cites L., Colaresi, M.

Thinking beyond the anthropomorphic paradigm benefits LLM research L., Colaresi, M

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.046776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.643430Z digest=sha256:17a22ce7db7f63e03a361268790b4a67fbbe143b751c521f04d7286a00b4bf5f

Observation 9ab9380f-18ad-4e97-9574-a3fc4842e47b · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 65

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unresolved
raw_fallback, observed 2026-08-07T22:21:54.036672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.646939Z digest=sha256:068b9149035eb8eff8bf8d192f29d4510e8c95e7ec926f10b2a93f232c1741e1

Observation 1d460a58-53d7-466f-b2bc-82ed2c865b00 · outbound

This paper cites Topics, authors, and institutions in large language model research: Trends from 17k arxiv papers.

Thinking beyond the anthropomorphic paradigm benefits LLM research Topics, authors, and institutions in large language model research: Trends from 17k arxiv papers

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.026403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.650230Z digest=sha256:3bc2fabb30b3ae8778ceb3b8e4103d93b720a836863387fc367874d9375c291c

Observation 05814812-fc56-41b6-ae72-3707021a9a86 · outbound

This paper cites H., and Hammerschmidt, M.

Thinking beyond the anthropomorphic paradigm benefits LLM research H., and Hammerschmidt, M

Reference 67

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raw_fallback, observed 2026-08-07T22:21:54.016349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.653480Z digest=sha256:189cf9eea84ef8a8dba17f1c720e11a289265fdf778268b8448d01a9603eadaf

Observation 563bc0fd-4a88-43f6-b4d7-5cbdd93e7df2 · outbound

This paper cites The big book of concepts.

Thinking beyond the anthropomorphic paradigm benefits LLM research The big book of concepts

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:54.006833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.656864Z digest=sha256:46bfe944778d588d492adea23da5cee150118cae6a97c8722be6ca57d5cc3916

Observation 9cf7e9f7-59ae-45ec-867b-2471e2b44da3 · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 69

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unresolved
raw_fallback, observed 2026-08-07T22:21:53.997501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.660987Z digest=sha256:1b28fa1595ea1db0db10c3322d1acd38f17c9dec342b8dafcdff82da9cc9b5c2

Observation 13b9acab-d7a6-41e2-bc6f-0f8a09564561 · outbound

This paper cites Are people polite to computers? responses to computer-based interviewing systems 1.

Thinking beyond the anthropomorphic paradigm benefits LLM research Are people polite to computers? responses to computer-based interviewing systems 1

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.987976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.664350Z digest=sha256:be971470c13f7633622ce54237a4ca5342e13293f90ecb3f9a1d4a5dff9897f8

Observation dc810f4b-c4c7-4840-9558-5f101dd121a9 · outbound

This paper cites Mapping global dynamics of benchmark creation and saturation in artificial intelligence.

Thinking beyond the anthropomorphic paradigm benefits LLM research Mapping global dynamics of benchmark creation and saturation in artificial intelligence

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.977140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.667557Z digest=sha256:e67c80f64b84bfddc1b28e051b6819d2cf87246095608efdf91a0f2101ed65f2

Observation 3f5b3c84-cddd-4eb3-b7ec-4093949bc81d · outbound

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

Thinking beyond the anthropomorphic paradigm benefits LLM research Training language models to follow instructions with human feedback

Reference 72

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no resolver link, observed 2026-08-07T22:21:52.670754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.670754Z digest=sha256:a5b05f4f9dd3477f92b667267b6fdf0f65148353582bb31ec53ac9a238ae19ca

Observation bccdd9df-c831-448e-9f5d-c3cdee503a35 · outbound

This paper cites Feedback Loops With Language Models Drive In-Context Reward Hacking.

Thinking beyond the anthropomorphic paradigm benefits LLM research Feedback Loops With Language Models Drive In-Context Reward Hacking

Reference 73

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no resolver link, observed 2026-08-07T22:21:52.673974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.673974Z digest=sha256:e66481b3181de3245a20c95394da6f385f0c089b5b3a13beedc50134074ec39d

Observation 205c2005-d2f7-4ecc-889d-525f3efa7778 · outbound

This paper cites Discovering Language Model Behaviors with Model-Written Evaluations.

Thinking beyond the anthropomorphic paradigm benefits LLM research Discovering Language Model Behaviors with Model-Written Evaluations

Reference 74

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no resolver link, observed 2026-08-07T22:21:52.677246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.677246Z digest=sha256:fbb0b99b9a46f4388a28811894000d49c04d25d7beb8eb8eac462d0fc4993517

Observation c4a4a3a8-ce32-46ae-b03f-9b21ece37373 · outbound

This paper cites Anthropomorphism and ai: Turing’s much misunderstood imitation game.

Thinking beyond the anthropomorphic paradigm benefits LLM research Anthropomorphism and ai: Turing’s much misunderstood imitation game

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.961132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.681697Z digest=sha256:f1e43b98a1f4179007e5285294bc7cdea9d6a5c61026cf16406f8d508af3204b

Observation eb0207ab-c7da-4f68-bc07-d215dd14094c · outbound

This paper cites AI and the Everything in the Whole Wide World Benchmark.

Thinking beyond the anthropomorphic paradigm benefits LLM research AI and the Everything in the Whole Wide World Benchmark

Reference 76

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no resolver link, observed 2026-08-07T22:21:52.685116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.685116Z digest=sha256:35d0a450604f9b49800cf6e243c8005e265710e8c5d6cf487858b6744766e7af

Observation 46d98bb4-6d7f-439d-85e8-2cfc1c67702c · outbound

This paper cites The impact of anthropomorphic and functional chatbot design features in enterprise collaboration systems on user acceptance.

Thinking beyond the anthropomorphic paradigm benefits LLM research The impact of anthropomorphic and functional chatbot design features in enterprise collaboration systems on user acceptance

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.950209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.688521Z digest=sha256:23611c2832355fae69604e6d215e68aa5e8c507e4ae09f0da9f850dffd58c46d

Observation f67a4813-4971-4141-b8d1-09310831b96c · outbound

This paper cites Talking about large language models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Talking about large language models

Reference 78

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raw_fallback, observed 2026-08-07T22:21:53.938916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.691882Z digest=sha256:6e82abaf0997cf41ba9916e4f9da45c7b46dfc55b290d6c1ffb0376d8097f360

Observation a7dc5e73-8f24-4fb1-a5a1-89210ff327f5 · outbound

This paper cites Role play with large language models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Role play with large language models

Reference 79

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.927596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.695107Z digest=sha256:7c67acb3b20d74578c1a1a57bc049921c6feae9e6a8f38a856c60cf0fff73dda

Observation df83911b-8f55-40ed-a75a-cbe9207ffd91 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Towards Understanding Sycophancy in Language Models

Reference 80

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no resolver link, observed 2026-08-07T22:21:52.698209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.698209Z digest=sha256:f8ce7f949273f50489f5878023ade39626f23bfb58f73d8b48f62d0990f31cdb

Observation 0fefd57f-da80-48ba-b96e-d762dca84404 · outbound

This paper cites and Luximon, Y.

Thinking beyond the anthropomorphic paradigm benefits LLM research and Luximon, Y

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.917479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.702397Z digest=sha256:af92cd257d59e519a5e0a354fa25ed67fd9c8c6db0ea5aa43674ef0da9b3fbdf

Observation 91f081a8-f318-4b07-94e0-2767d2c99b6e · outbound

This paper cites Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with llms.

Thinking beyond the anthropomorphic paradigm benefits LLM research Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with llms

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.907567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.706472Z digest=sha256:f485397ca2d2932f82392e3e0909fdba03d6889b7729a3df9ee62c868b8f8827

Observation 920ace91-9bd4-44e1-9f05-c6509710742f · outbound

This paper cites Confabulation: The Surprising Value of Large Language Model Hallucinations.

Thinking beyond the anthropomorphic paradigm benefits LLM research Confabulation: The Surprising Value of Large Language Model Hallucinations

Reference 83

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no resolver link, observed 2026-08-07T22:21:52.709837Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T22:21:52.709837Z digest=sha256:e03f34831d375e7b2438e3a8f3ee870d42a82450db9a0b6858ce471a2ec9eb6c

Observation f615cdeb-7367-406d-8d1c-bbe9ddf0f39f · outbound

This paper cites an unresolved cited work.

Thinking beyond the anthropomorphic paradigm benefits LLM research Unresolved cited work

Reference 84

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unresolved
raw_fallback, observed 2026-08-07T22:21:53.897648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.713217Z digest=sha256:5715fb83a926eaaabf2ea6ab5b49ce9ad2e161001c5b22b6e59a00be4fa50252

Observation f7a4141e-92bf-4c8e-8e77-2fa4c59ca043 · outbound

This paper cites There is a nuanced but important difference between chain-of-thought before and after o1.

Thinking beyond the anthropomorphic paradigm benefits LLM research There is a nuanced but important difference between chain-of-thought before and after o1

Reference 85

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verified exact
raw_fallback, observed 2026-08-07T22:21:52.894928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.716997Z digest=sha256:71a2bf86b2269e3ea9f6f5b415ab0b43fe5fdec201c9454787a6c69056f97a54

Observation e79c1abd-7842-498c-b41d-56b2cff0d13a · outbound

This paper cites V ., Zhou, D., et al.

Thinking beyond the anthropomorphic paradigm benefits LLM research V ., Zhou, D., et al

Reference 86

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unresolved
no resolver link, observed 2026-08-07T22:21:52.720403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.720403Z digest=sha256:89f2a40b4f366d179e5823049731ae9c30806c6e1d5baf7f0bb0fd52f00d77d0

Observation 62ce5fa4-d489-4994-8bd8-5e062ebf045b · outbound

This paper cites Eliza—a computer program for the study of natural language communication between man and machine.

Thinking beyond the anthropomorphic paradigm benefits LLM research Eliza—a computer program for the study of natural language communication between man and machine

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.882643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.723749Z digest=sha256:a4b9ef500c794399d12db3bd248d02509390b2515f524414f017eab7e5667f52

Observation b98cc4a5-a429-4ab7-bfa5-0afceb780cac · outbound

This paper cites Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots.

Thinking beyond the anthropomorphic paradigm benefits LLM research Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.872839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.726948Z digest=sha256:456493fccee9aaabe2941dcd215e5e7d610f71cc7e34f32c9be9c978fe363860

Observation c8deb8a6-5f5b-4f94-b1b5-869887b043d6 · outbound

This paper cites LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

Thinking beyond the anthropomorphic paradigm benefits LLM research LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Reference 89

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no resolver link, observed 2026-08-07T22:21:52.730334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.730334Z digest=sha256:ec93439cdaff4bb2cf01c0752f826c82efa9a3ffaee76164a29da2c5a9632a1a

Observation ae3ec201-e65b-4027-8365-3d3c4d77737f · outbound

This paper cites Robustness of Demonstration-based Learning Under Limited Data Scenario.

Thinking beyond the anthropomorphic paradigm benefits LLM research Robustness of Demonstration-based Learning Under Limited Data Scenario

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-08-07T22:21:52.805531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.733809Z digest=sha256:e162a54109229e3569094bbf4854ed8b8f3d4686860342a870b6f94d91c9993e

Observation ee1d2e2c-407d-4b56-9fe5-15629b49074e · outbound

This paper cites Beyond preferences in AI alignment.

Thinking beyond the anthropomorphic paradigm benefits LLM research Beyond preferences in AI alignment

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:21:53.862693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:21:52.737556Z digest=sha256:a89afca7a89db4226ed518934fae4061a265eeb8571d0185724b9e8c39a34f33

Observation 8cd4b7ec-83fd-4d5c-917a-f0f003c02f34 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Thinking beyond the anthropomorphic paradigm benefits LLM research Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 92

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unresolved
no resolver link, observed 2026-08-07T22:21:52.740743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.740743Z digest=sha256:c1b5dccde63f0762c2b2f91470c174a7a08891ea429d70b802672a952ca1c2eb

Observation 36604c93-57eb-4778-8757-5c0dcd31b27f · outbound

This paper cites Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance.

Thinking beyond the anthropomorphic paradigm benefits LLM research Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance

Reference 93

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no resolver link, observed 2026-08-07T22:21:52.744377Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T22:21:52.744377Z digest=sha256:85d91e4c87a2f70b7cc80ed82405f04a5ae34a5321f506ee2cade7be524dde2b

Pith citing papers

Observation 1f3ffe64-50aa-4031-89f7-613a3fd5592d · inbound

A validity-guided workflow for robust large language model research in psychology cites this paper.

A validity-guided workflow for robust large language model research in psychology Thinking beyond the anthropomorphic paradigm benefits LLM research

Reference 8237

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source=pdf_text observed=2026-08-06T19:50:27.462800Z digest=sha256:37fe84c50e7f9947c4f19b07b98dcabd8b7769c62b1bcc78953427780d42e759

Observation 05843a20-46b4-47a9-95ab-6461b612471b · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny Thinking beyond the anthropomorphic paradigm benefits LLM research

Reference 28

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no resolver link, observed 2026-08-06T15:20:12.807230Z

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source=arxiv_source observed=2026-08-06T15:20:12.807230Z digest=sha256:e4370136ca61e19e4330168ebdcd0e7587c002324b78359e518031b5a32dadfe

Observation 6d09eb69-6b76-4d7c-aee7-1ca9d8482b67 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models Thinking beyond the anthropomorphic paradigm benefits LLM research

Reference 74

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metadata mismatch
arxiv_id, observed 2026-05-10T08:12:26.119519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:350ef42809180eafa2e66ceb6fdab392c9bb8c27bc09c9599e780507023b2c2a

Observation 1ba6e4f4-4fc1-4e90-9c9f-2bb68453cc6e · inbound

Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines cites this paper.

Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines Thinking beyond the anthropomorphic paradigm benefits LLM research

Reference 1

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verified exact
arxiv_id, observed 2026-05-15T01:48:27.612680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:45:12.316367Z digest=sha256:dfec2b390c65b000e7b8792eac80d5bd504e8db195926c55a4e785b3d9dc4d76