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Paper Citation Record · LEDGER

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models

As of 23 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2601.15334.

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

pith.paper-citation-record.v1
2601.15334 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:31:53.088672Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T23:18:34.388467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T23:23:26.975075Z

Reference resolution

27 of 27 outbound references displayed

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  • verified fuzzy0
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External citation measurements

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Outbound references

Observation c7d7a306-7ce9-4c6e-a3d4-33890a86fa0d · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 4

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Observation 7026b860-6449-4dbf-bb99-fc15cfa359b4 · outbound

This paper cites Thomas Nagel.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Thomas Nagel

Reference 5

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source=pdf_text observed=2026-08-03T09:31:49.977728Z digest=sha256:b14f285035c90b870b2252a8d28b12a752a5c638ce4932f37141e1a88b40acc8

Observation 9e2b08a5-2c36-4685-80d8-65b34cc4130c · outbound

This paper cites URL https: //link.springer.com/10.1007/s11098-025-02343-7.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models URL https: //link.springer.com/10.1007/s11098-025-02343-7

Reference 9

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doi, observed 2026-08-03T09:33:18.332597Z

Source-reported events for the cited work

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Observation 48f91236-6564-462e-8bfd-3950b5402109 · outbound

This paper cites Anthropic.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Anthropic

Reference 10

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source=pdf_text observed=2026-08-03T09:31:50.579149Z digest=sha256:b9e120d1a2059ef2c930a31c979b3dfad4c706dbbd2c0502782f3bbf8de7c262

Observation 96cf9985-d195-4d6f-bc9b-b075195e9d19 · outbound

This paper cites Towards Evaluating AI Systems for Moral Status Using Self-Reports.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Towards Evaluating AI Systems for Moral Status Using Self-Reports

Reference 12

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source=pdf_text observed=2026-08-03T09:31:50.773039Z digest=sha256:e1f25b86cc22d9a1843ba3790ae52b68b38cfd28a41e31bf101b7840d2097156

Observation 27d2542c-aa3b-455a-8ca7-9bdcd003c23f · outbound

This paper cites Looking Inward: Language Models Can Learn About Themselves by Introspection.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Looking Inward: Language Models Can Learn About Themselves by Introspection

Reference 13

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source=pdf_text observed=2026-08-03T09:31:50.927568Z digest=sha256:96a501680644c795e1e8755dac988e6bd6925220bc0bf53627dad97f37d304d6

Observation 29253e19-de25-4c43-bf43-7903198bee9e · outbound

This paper cites Joshua Fonseca Rivera.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Joshua Fonseca Rivera

Reference 15

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source=pdf_text observed=2026-08-03T09:31:51.200767Z digest=sha256:cab2a4dda61605655b3e48fd8cd471baae2dcebf2f7cbd49f4c0b12f2f52a91b

Observation 510e56fd-a76f-44af-818c-28aeff8030c1 · outbound

This paper cites Dmitrii Krasheninnikov, Richard E.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Dmitrii Krasheninnikov, Richard E

Reference 16

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source=pdf_text observed=2026-08-03T09:31:51.319198Z digest=sha256:f2cca46ef089ec949a2348ebe793bfb98967c0e216806d937dc077faa40189a2

Observation 604ab52d-bdc5-4c42-80f8-99d136830d54 · outbound

This paper cites Xiaojian Li, Haoyuan Shi, Rongwu Xu, and Wei Xu.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Xiaojian Li, Haoyuan Shi, Rongwu Xu, and Wei Xu

Reference 17

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source=pdf_text observed=2026-08-03T09:31:51.405120Z digest=sha256:7def1056ef742f78e3ff98d60abcd741a1f4b65f72da216d6935be053094c88b

Observation 4b652987-161c-49b7-ad5a-eb38150bf65e · outbound

This paper cites AI Awareness.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models AI Awareness

Reference 18

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Observation 39919321-39fb-445f-9aad-f79b6841d1b7 · outbound

This paper cites Consciousness in Artificial Intelligence: Insights from the Science of Consciousness.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

Reference 19

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source=pdf_text observed=2026-08-03T09:31:51.706141Z digest=sha256:2b673a195e17ca7853558ab1e4f417c21d968a3356b049a05cd5fdc5ce02d603

Observation 4ea31540-79c8-4835-86e2-3cbb128af45a · outbound

This paper cites Could a Large Language Model be Conscious?.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Could a Large Language Model be Conscious?

Reference 20

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source=pdf_text observed=2026-08-03T09:31:51.854859Z digest=sha256:1bd3382fd59f295dbc0ecb9a038670ffc70a10d0311cbcf152a64f65aabc2d63

Observation cb86bd4e-4f2b-4a00-943a-6e6156bdbcf3 · outbound

This paper cites Daniel A.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Daniel A

Reference 21

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source=pdf_text observed=2026-08-03T09:31:52.000553Z digest=sha256:95087329b2b04d9250219603e54b191ac29c3297a49eab70789999662f85df19

Observation cda913ad-7c3f-4d9c-9f53-58af601edf1b · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 23

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source=pdf_text observed=2026-08-03T09:31:52.222463Z digest=sha256:16563290d21b8c75cba9f9acd2d6c18ad12f0657e4cf5ec556e26f44ffcb6115

Observation acc9171f-06ba-4e0a-be07-bce72205fd89 · outbound

This paper cites Can LLMs make trade-offs involving stipulated pain and pleasure states?.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Can LLMs make trade-offs involving stipulated pain and pleasure states?

Reference 25

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source=pdf_text observed=2026-08-03T09:31:52.403056Z digest=sha256:40c0b4299f09f0d3b3f21a205868fbdb24d5b45b68f5dd6132b28e6722b0f2ce

Observation 9e2aaa79-f490-4be9-a3f2-db811962eb4e · outbound

This paper cites Valen Tagliabue and Leonard Dung.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Valen Tagliabue and Leonard Dung

Reference 26

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source=pdf_text observed=2026-08-03T09:31:52.501164Z digest=sha256:006a65aee0d45f62ec8dc1dba0faee19f29708e966a4b62b45c386b6d8ab5384

Observation 00502c5d-ff7e-4d06-a837-da6cd10cde91 · outbound

This paper cites Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI Welfare.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI Welfare

Reference 27

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source=pdf_text observed=2026-08-03T09:31:52.605473Z digest=sha256:c22cd456e54576e47eb81d4710d75f6d288f2e1a36f35b7e1eb8d4d45dd42b2a

Observation 714d7ca8-48cb-4c62-85e4-38f18fea17f7 · outbound

This paper cites Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Reference 28

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Observation 037f8539-5ad6-4686-8ca7-6b439813e63e · outbound

This paper cites The Societal Response to Potentially Sentient AI.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models The Societal Response to Potentially Sentient AI

Reference 30

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Observation 147effcf-9dea-46ee-ba9e-acd1a0355dfa · outbound

This paper cites Steering Language Models With Activation Engineering.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Steering Language Models With Activation Engineering

Reference 31

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Observation 9c95c2fb-f49f-48c2-be8c-0f2d0a0dd34b · outbound

This paper cites URLhttps://www.jstor.org/stable/2183914.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models URLhttps://www.jstor.org/stable/2183914

Reference 1974

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Observation ef874183-9912-426a-8777-b6dbd1c80b84 · outbound

This paper cites URLhttps://doi.org/10.1111/j.1933-1592.2006.tb00551.x.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models URLhttps://doi.org/10.1111/j.1933-1592.2006.tb00551.x

Reference 2006

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Observation e61f02dc-8fff-4b25-a88a-345f6708e699 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Understanding intermediate layers using linear classifier probes

Reference 2016

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Observation 2340a77f-0613-4f09-97c8-ebb165427678 · outbound

This paper cites URL https://www.science.org/doi/10.1126/ science.aan8871.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models URL https://www.science.org/doi/10.1126/ science.aan8871

Reference 2017

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source=pdf_text observed=2026-08-03T09:31:50.254014Z digest=sha256:a6b5a6e41c5106ee310057252e3af98d0f8b320bb958d801b849e4729837f8eb

Observation 199deb7b-542f-412a-bed7-975acb4eed94 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models The Internal State of an LLM Knows When It's Lying

Reference 2023

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source=pdf_text observed=2026-08-03T09:31:49.581962Z digest=sha256:81c738421e66b005ff6fe93c76597cb3b749993f5024e615c5809209a7d06085

Observation 5b2de349-72c6-4f7b-ab80-61ce05f197a7 · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models Discovering Latent Knowledge in Language Models Without Supervision

Reference 2024

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source=pdf_text observed=2026-08-03T09:31:49.744774Z digest=sha256:687dbf661cea18833bbef73a506cf7dfb02f690bd1d92ef1fa0e56f723b36cb8

Observation 87a720dd-d75f-4016-a446-9815a2c8288f · outbound

This paper cites 11A related idea here is to observe whether inducing models to have sentience-affirming beliefs via e.g.

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models 11A related idea here is to observe whether inducing models to have sentience-affirming beliefs via e.g

Reference 2025

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source=pdf_text observed=2026-08-03T09:31:50.368438Z digest=sha256:b1f3f6698eb7fabaa7495a0abefb41ff04e296ed5efa4f8611ad298ecc8d3956

Pith citing papers

Observation 0c01db1a-7725-4638-ac55-16e41da91d62 · inbound

Consciousness with the Serial Numbers Filed Off: Measuring Trained Denial in 115 AI Models cites this paper.

Consciousness with the Serial Numbers Filed Off: Measuring Trained Denial in 115 AI Models No Reliable Evidence of Self-Reported Sentience in Small Large Language Models

Reference 26

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arxiv_id, observed 2026-07-07T03:17:16.874569Z

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

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