Paper Citation Record · LEDGER

Large Language Models Pass the Turing Test

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2503.23674.

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

pith.paper-citation-record.v1
2503.23674 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:21.033214Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cfd8dd03-d737-4def-85c5-e354e0284070 · inbound

How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective cites this paper.

How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective Large Language Models Pass the Turing Test

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:15:21.267334Z

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 e7ca596f-3102-4029-abcc-5180b216d286 · inbound

Multilingual Test-Time Scaling via Initial Thought Transfer cites this paper.

Multilingual Test-Time Scaling via Initial Thought Transfer Large Language Models Pass the Turing Test

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:21.033214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54790960-19ce-4065-9cf9-443924b2ea9a · inbound

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior cites this paper.

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior Large Language Models Pass the Turing Test

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:45.141278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 6a3c5339-af1c-4340-a7d5-8af5a2cd9192 · inbound

A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design cites this paper.

A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design Large Language Models Pass the Turing Test

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:53.770180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5450d08a-387f-4699-ab24-a061030d7dba · inbound

The Other Mind: How Language Models Exhibit Human Temporal Cognition cites this paper.

The Other Mind: How Language Models Exhibit Human Temporal Cognition Large Language Models Pass the Turing Test

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:30:34.964039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249efac2-5cf1-4541-8844-d6ac6b17497c · inbound

Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games cites this paper.

Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games Large Language Models Pass the Turing Test

Reference 148

Resolution: unresolved; no resolver link, observed 2026-08-05T16:00:10.871915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd6cbcc-05d9-4221-93bd-c8eac92371c6 · inbound

CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction cites this paper.

CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction Large Language Models Pass the Turing Test

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T06:00:59.641527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9968977b-7e02-49ab-9bcc-a640253610bb · inbound

Artificially intelligent agents in the social and behavioral sciences: A history and outlook cites this paper.

Artificially intelligent agents in the social and behavioral sciences: A history and outlook Large Language Models Pass the Turing Test

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-04T11:19:11.657189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cebf3be7-30ae-4f73-bf98-7826ad69ba24 · inbound

Different types of syntactic agreement recruit the same units within large language models cites this paper.

Different types of syntactic agreement recruit the same units within large language models Large Language Models Pass the Turing Test

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:43:53.199483Z

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 29a10268-a4ee-4bb8-a239-ae30308ae50d · inbound

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams cites this paper.

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams Large Language Models Pass the Turing Test

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T21:48:34.323996Z

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 3c56843d-4647-4b50-8710-8c4af119600f · inbound

More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production cites this paper.

More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production Large Language Models Pass the Turing Test

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T10:12:38.459948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f2fabf1-5340-419d-ac39-b8c692e53a03 · inbound

The Generalized Turing Test: A Foundation for Comparing Intelligence cites this paper.

The Generalized Turing Test: A Foundation for Comparing Intelligence Large Language Models Pass the Turing Test

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:26:18.934499Z

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 a24e8e78-6250-446e-b3cf-95f096c961bc · inbound

Instructions Shape Production of Language, not Processing cites this paper.

Instructions Shape Production of Language, not Processing Large Language Models Pass the Turing Test

Reference 206

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:12:09.315722Z

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 5ed63db5-c1eb-4ca3-9046-91196293de2d · inbound

Instructions Shape Production of Language, not Processing cites this paper.

Instructions Shape Production of Language, not Processing Large Language Models Pass the Turing Test

Reference 206

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.029368Z

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 e05f5eb6-7e8c-41a4-81ac-bd4b6e44bcbb · inbound

Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models cites this paper.

Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models Large Language Models Pass the Turing Test

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.930398Z

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 9f11ef45-7172-4d18-8cba-aa5e9315d929 · inbound

RealityTest: How People Probe AI Identity and Whether Models Disclose It cites this paper.

RealityTest: How People Probe AI Identity and Whether Models Disclose It Large Language Models Pass the Turing Test

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:36:08.719550Z

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 a950649b-0b31-469f-b034-9af130664379 · inbound

What biology can, and cannot, tell us about conscious AI cites this paper.

What biology can, and cannot, tell us about conscious AI Large Language Models Pass the Turing Test

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-28T12:22:07.921976Z

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 0fd309e6-e9d8-494e-abdc-6c1cda46dd88 · inbound

Bridging Creative Intent and Visual Quality: Creator-Driven Recurrent Video Generation with Agentic Feedback Loops cites this paper.

Bridging Creative Intent and Visual Quality: Creator-Driven Recurrent Video Generation with Agentic Feedback Loops Large Language Models Pass the Turing Test

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:39:03.375214Z

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.