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Paper Citation Record · LEDGER

Revisiting Rogers' Paradox in the Context of Human-AI Interaction

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 6 inbound Pith citation observations for arXiv:2501.10476.

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

pith.paper-citation-record.v1
2501.10476 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:53:42.758160Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:15:32.299378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T03:30:17.194577Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact3
  • verified fuzzy3
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57b4a0ce-0d6f-44c7-ac50-2b0a489c2529 · outbound

This paper cites an unresolved cited work.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:53:43.511864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b63d2f75-b21f-4c3e-a054-6ae94c24a3c3 · outbound

This paper cites individual learning penalty.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction individual learning penalty

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:53:42.758160Z digest=sha256:79fc7a4fdea378c7a032834c1fa8393dd0629254f5c87abba659e84cc8726b81

Observation df4fb847-af56-4b24-bc59-da760236ec31 · outbound

This paper cites Language Models Represent Space and Time.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Language Models Represent Space and Time

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.519484Z digest=sha256:4f24c3d6bef28cf8a7ca6c2a206e0b9a3c7ac7b4ad3f80e42e0dc26eb7c71107

Observation 9a32825b-229a-4461-b614-08494d5d1a3f · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Reasoning with Language Model is Planning with World Model

Reference 12

Resolution
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no resolver link, observed 2026-08-10T19:53:42.523670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.523670Z digest=sha256:9d4152173d1b15e0bfe98b2ac7f0660f33f93b6eb648c281f2a612d77f4d2a69

Observation b970b1c5-8758-42a9-8e8e-64ed321ad192 · outbound

This paper cites Grounded Language Learning in a Simulated 3D World.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Grounded Language Learning in a Simulated 3D World

Reference 14

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no resolver link, observed 2026-08-10T19:53:42.590427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.590427Z digest=sha256:083abbac53a9e8ea7ec781b8bcb3d470fbe5ae747b3edad41c38adaf525a4a38

Observation f3808b9d-ef39-47f4-8e00-57058454d1ce · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Distilling the Knowledge in a Neural Network

Reference 15

Resolution
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no resolver link, observed 2026-08-10T19:53:42.641498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.641498Z digest=sha256:b568d9634057d842298335c3f87d0750cd2d687367ed63c93ea996f95575bc0a

Observation 59428ab3-aeab-4cbd-bea4-084f7f2e3423 · outbound

This paper cites OpenAI o1 System Card.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction OpenAI o1 System Card

Reference 16

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no resolver link, observed 2026-08-10T19:53:42.682439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.682439Z digest=sha256:1d639885cad35d1580577021e7da4fa27b2446e132a5e81a903ea1fa661d3b6b

Observation 76a8904a-5a16-439b-8c9c-647facb74c4e · outbound

This paper cites an unresolved cited work.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-10T19:53:43.287692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:53:42.697671Z digest=sha256:350092e9dbd500e1cc34fff6bc0a41811a17d1d181bdcb2c9ea03c6d6968b962

Observation db65ea6b-cdbf-47ef-8ee3-989beefbad56 · outbound

This paper cites Large Language Models Assume People are More Rational than We Really are.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Large Language Models Assume People are More Rational than We Really are

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.702543Z digest=sha256:ccece6b077ee1b2db29c51c67ce1990b09251a5b5590e0a30556324659da8cf2

Observation f07fd63f-b49c-4ccc-9bb8-4db2a482f828 · outbound

This paper cites doi: 10.2760/376602(online).

Revisiting Rogers' Paradox in the Context of Human-AI Interaction doi: 10.2760/376602(online)

Reference 19

Resolution
verified exact
doi, observed 2026-08-10T19:53:42.926978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:53:42.707317Z digest=sha256:5e610ef976bdc79809b9d45220c146894be0bcc683ee4bc191b3268cbf534073

Observation eeb9d69a-03ce-4f16-8622-951c2ef8f387 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 20

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no resolver link, observed 2026-08-10T19:53:42.711581Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.711581Z digest=sha256:3791d12ae60158d4e4b2769b1a2a4cb847b0b86832e96cd066f4bcc14d743e90

Observation 6d151065-7a42-4ba1-9d35-72ca1dde5eb3 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.715754Z digest=sha256:276d408f2ba58f70a45da3e4f27769c02536af7976bbb1fc6abd2ccb039ae57d

Observation ecb7a084-c107-40be-b330-e42acff3fb87 · outbound

This paper cites Representational Alignment Supports Effective Machine Teaching.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Representational Alignment Supports Effective Machine Teaching

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:53:43.036867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f5db86a4-250a-4c8e-866e-ca532acbe906 · outbound

This paper cites Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function

Reference 24

Resolution
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no resolver link, observed 2026-08-10T19:53:42.728422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.728422Z digest=sha256:f6db209acd00001c9a7610e154324b640e27dbd6b835426be84773539b3caf29

Observation a133e4e0-7152-47b4-990f-7712f45da2ac · outbound

This paper cites From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 25

Resolution
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no resolver link, observed 2026-08-10T19:53:42.732662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.732662Z digest=sha256:16fc4c6bf2134fef2d6455a9274cdf4746f7cb66c9a2c703d645c3b7013ec09b

Observation 56580ca0-8beb-4388-97a0-bcd637efc027 · outbound

This paper cites an unresolved cited work.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Unresolved cited work

Reference 1993

Resolution
verified exact
doi, observed 2026-08-10T19:53:42.879321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:53:42.724306Z digest=sha256:e7634508feb82bc4d3f91c971baa659324c5be0f2a30f072f061b88e50f442b7

Observation 3303162d-04a7-44d2-917d-8046c7c3c38f · outbound

This paper cites The Ethics of Advanced AI Assistants.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction The Ethics of Advanced AI Assistants

Reference 2007

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no resolver link, observed 2026-08-10T19:53:42.511338Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.511338Z digest=sha256:98bb902991dfb84464e06c2c5ec4c3ac16ac413846704b784c82a7d0e9598dbc

Observation 1913b6d9-fa29-4569-941a-cb6d0824a155 · outbound

This paper cites Ehsan, Q.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Ehsan, Q

Reference 2017

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:53:42.507211Z digest=sha256:cc100b14f4115b91c8570a64fdbe92338cdfb69958bcb7479bff1559d15e32f9

Observation c3b1e90c-e186-40d9-b3d3-6c17d78e0791 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Towards A Rigorous Science of Interpretable Machine Learning

Reference 2018

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source=pdf_text observed=2026-08-10T19:53:42.502978Z digest=sha256:135344fbfa31e7c87db2b5d9e093b83d962cf33c6f26086ff57cbd137c723cdc

Observation b36b5e0d-bcd9-4dff-846f-f676e46f474c · outbound

This paper cites an unresolved cited work.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:53:43.313765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 70b0e510-b829-4111-a4ad-cd28810f6329 · outbound

This paper cites URL https://www.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction URL https://www

Reference 2020

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no resolver link, observed 2026-08-10T19:53:42.475861Z

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Observation 651ddb3e-7014-4104-ba34-d4de70441c28 · outbound

This paper cites Learning Personalized Decision Support Policies.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Learning Personalized Decision Support Policies

Reference 2021

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no resolver link, observed 2026-08-10T19:53:42.485870Z

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source=pdf_text observed=2026-08-10T19:53:42.485870Z digest=sha256:f610716d24efb8170124245b5d5effadb1820a9347fb7c03d485642bd0ddef5c

Observation c74f5e3b-caf7-497e-8df3-1f57eceb9f1c · outbound

This paper cites an unresolved cited work.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Unresolved cited work

Reference 2022

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unresolved
raw_fallback, observed 2026-08-10T19:53:43.496671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:53:42.494445Z digest=sha256:e881bfe49c1ada7bfe46f9814ef08132af5f6597add558363ef69655dd0f3f9d

Observation db7bf5d1-6332-4a54-a221-51d7a1c8e533 · outbound

This paper cites Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Reference 2023

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source=pdf_text observed=2026-08-10T19:53:42.498438Z digest=sha256:dc2ae6ddef094683e3fadae5685b020bd4b67627446a3ddaacafa72083e901ec

Observation 23872eaa-8d36-4346-9c2b-203f71ad7afa · outbound

This paper cites Bhatt, J.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Bhatt, J

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:53:43.526917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:53:42.481285Z digest=sha256:e6244758a270edd72a7b72c298e5f1f2c7a848a1914c61e769ff6978c1ed828f

Pith citing papers

Observation fe91041f-1cfb-41fe-b8c1-67c79063dedd · inbound

Documenting Deployment with Fabric: A Repository of Real-World AI Governance cites this paper.

Documenting Deployment with Fabric: A Repository of Real-World AI Governance Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Reference 2023

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no resolver link, observed 2026-08-05T19:15:32.299378Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:15:32.299378Z digest=sha256:72d76ace4538dc7c60f87c579607e04fe58e5684de688320ab8f8a3d2b40328f

Observation ffef977b-6531-4450-a1f5-c1f482dfc2b3 · inbound

Measuring and mitigating overreliance to build human-compatible AI cites this paper.

Measuring and mitigating overreliance to build human-compatible AI Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Reference 32

Resolution
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arxiv_id, observed 2026-05-21T22:40:43.395935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T22:37:37.267715Z digest=sha256:a9fe6200c8bbccdc4ef88d01ab036462e50a20a9eccc14d35c3937b16133d65e

Observation a9d3c72a-3d7d-4fb9-ac1a-309a065ba1e2 · inbound

Human-AI Synergy Supports Collective Creative Search cites this paper.

Human-AI Synergy Supports Collective Creative Search Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Reference 875

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no resolver link, observed 2026-08-03T02:42:09.706598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:42:09.706598Z digest=sha256:63d4dd76103a3e36d64516c995e73d7c6db301d07d7119181af7682af5125ba4

Observation 3343628d-fa67-4e72-a6fa-d59e2a3c0b2d · inbound

An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies cites this paper.

An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:29.421282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T03:47:54.451357Z digest=sha256:7e3d22d5e073b964405754cdbdadbb658a5379bb05d882ef17945f61571fd304

Observation 48076f6c-05ad-4414-bcf6-c9b5aacaebe1 · inbound

The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks cites this paper.

The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Reference 48

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arxiv_id, observed 2026-05-22T03:30:59.460085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T03:29:17.477472Z digest=sha256:dd69b795a1867d76e1f1399ac46a8780c5c1dfff48890b80fcda2bfeb7c3fab6

Observation 258a5f26-5ec2-428b-8fd7-15c129fcfb90 · inbound

Cognitive offloading and the speedup illusion in human-AI interaction cites this paper.

Cognitive offloading and the speedup illusion in human-AI interaction Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Reference 113

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verified exact
arxiv_id, observed 2026-05-25T03:30:17.197285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-25T03:27:22.656779Z digest=sha256:e73c7d09e92aeb1ebfb55103c67e079a61175654c3ce7d1eee387e8e06a3c19c