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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.490534Z digest=sha256:dbd37f66d5ad06b1951fd67d1e2a5772890c0006cd8f50f39c411a95b9cd5956

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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verified fuzzy
raw_fallback, observed 2026-08-10T19:53:43.274251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.758160Z digest=sha256:9f9afc69ba491a9c6d93b09f1da8847681a32b48b51bce96b9c0e1ab9ce0a35f

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:e1d45cbde209e5348411d2f7171896c685157a085709373de761fb4681f92fc4

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:b02fe4372cec454a014e1d5e57ac634da856a4b63d2571f2b56512002de7715f

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

Resolution
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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=sha256:122f851f36c785b9140fefaeb13d6316a5c892678606f1d63e247acb85ff4e97

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:cd2ab51db680938be7284bfe69cdf1fac2f66e0a658af2080b6c22add3bef1b0

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

Resolution
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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:c99eff8bf69e8c1dabe5a37854caff66cc2af37555bfd86b2633b872aa9978d3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.697671Z digest=sha256:31c51a8ee822995e9a62aae4ba0451c2c1cd24d286ae92deaea233a7bc96c88f

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=sha256:5def3ce1813a2c7aa70cfc6313348af4a67fb8f733802b76b93411cbd076e14e

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.707317Z digest=sha256:26535f6d2dfb5d9c25f890ef3bc6bf1c2e3b601daf4b70cb2c12135a03f62122

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:c8448a6200bd32e07b1eaf17df7780b7245adbe0ec35089a2f643dcfcb056d9b

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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no resolver link, observed 2026-08-10T19:53:42.715754Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.715754Z digest=sha256:4b5d8c8f97d47091501e02708a4087c1518de3e7bb6cbaa2dcf8584e8aecac6a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.720346Z digest=sha256:64de049924c436e6cd630c47f8c62e6d913c68dfd4e62d7a2821c63acfaf67df

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:b7dc76181726ce76548c16086a553b4368aac51ad784393f07500b06329992c1

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=sha256:2f1e6443040dc683956b33e1b438cb53b5cdadb66bda6ff0d0b8576591e5dadc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.724306Z digest=sha256:18a416e8cdaa1c08dca320b2d1ac0d2d83d28b5282f7d5990c8538afd5679640

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.511338Z digest=sha256:18561b142d39480c66cf0abb2ef02c5c3316ae5a2b2c0b8ed4735153836634fe

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.507211Z digest=sha256:ddc95b4ae1c7c2a043f5b1d40a9629a9fe0e3dd8fd44c878403525a281109165

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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no resolver link, observed 2026-08-10T19:53:42.502978Z

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source=pdf_text observed=2026-08-10T19:53:42.502978Z digest=sha256:7401872ad1af7e8d213ced20f63af56c0db1d34b62b32a0ccfd4af117086d0ec

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

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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 2026-08-16T06:30:59.297886+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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source=pdf_text observed=2026-08-10T19:53:42.475861Z digest=sha256:384d9aa05e080d998c88680252a983a8390a4015a6ba60724a7d24104a9bbd6c

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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source=pdf_text observed=2026-08-10T19:53:42.485870Z digest=sha256:03ff1f344f2cd0a2cc1b0d56d08afcf41f9e0e314cbf0abced009d4f556ed0e3

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.494445Z digest=sha256:a2c7c78721bba5762dd5f43621823df83ecda7f0b15b4fa5084bd7cd19264e21

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:d8abada3bc6a7cc378cbaaa3cbfdb743c4b6c71830369a62dcb33a1a0509cbb0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:53:42.481285Z digest=sha256:68f20f424e4bc02f208c5f405a6b9c53cee430518154c36222490155db452960

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:ce34bf1019495a692f88e265fb955f38dfd3ef4d98d7e4fd311c63cff0c8e010

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
verified exact
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T22:37:37.267715Z digest=sha256:81e221bf020bd9e96670c7bf72b738a8b82918d60dc8753e9cc1f6bc051a1256

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:dece454f44057070fb22e5910db9816369e9416bd84adc3f4065dedfe9209a67

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T03:47:54.451357Z digest=sha256:ec75a648413eedc337410f8dcdef3f121dedc884882bc3c6b0b01ad5f14683d2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T03:29:17.477472Z digest=sha256:1c65423ea4df3f50d79a1a368f1188d725b3f8c7dfb1cad429bdae9834efdebf

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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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-25T03:27:22.656779Z digest=sha256:d271e21d8c0f02a2170430057dfc759ae66bf79ba3a8b403865a06678711ac64