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Paper Citation Record · LEDGER

Towards a Theory of AI Personhood

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2501.13533.

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

pith.paper-citation-record.v1
2501.13533 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:56:41.471782Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T08:01:15.140626Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:46:14.431128Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bf54efd-8700-4ad2-840c-c0aefd8e687e · outbound

This paper cites How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions.

Towards a Theory of AI Personhood How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.454929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.454929Z digest=sha256:4d917aba3deb318b69e9df9fde1d8e167f41a5e10a414d1c32dac2a432525ba0

Observation 5b7ebf06-d547-468d-a179-823e0a34c84f · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Towards a Theory of AI Personhood Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.424526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.424526Z digest=sha256:41c44e173ad8d90655367367f766443bc7538d4351a29cf4e0f82dfefb833482

Observation c29f098e-4720-4da5-baad-d6dcb431d9cf · outbound

This paper cites Measuring Goal-Directedness.

Towards a Theory of AI Personhood Measuring Goal-Directedness

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.445877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.445877Z digest=sha256:c526cb5dc7bff59006fa0652b72a941b4a2c9683412e93786acdcc040f5869c5

Observation be4d6f41-fae0-4f14-a8e3-7ec648903f81 · outbound

This paper cites Language Models Represent Space and Time.

Towards a Theory of AI Personhood Language Models Represent Space and Time

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.428618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.428618Z digest=sha256:c82df9b8161626cc805a321fdaf005f207c1a5f56a52827d362e370b732f9891

Observation 55dbc617-3d7a-4bb6-a2c3-c9db06b8be37 · outbound

This paper cites an unresolved cited work.

Towards a Theory of AI Personhood Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:56:41.647968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:56:41.451004Z digest=sha256:d10a594cffc51143d06d610f620f3cd2483b78b047cbba1f599c4a3cea31e079

Observation 7306d7f6-ab99-42d6-b3a6-141f72c4dd5c · outbound

This paper cites Learning to summarize from human feedback.

Towards a Theory of AI Personhood Learning to summarize from human feedback

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.463438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.463438Z digest=sha256:6e936b0c36b8316526ebf53482d725f4b82d96c99893b075b40838c477e5c911

Observation 6c6c876e-430f-41a0-ba9d-f34861ad47de · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Towards a Theory of AI Personhood The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.467834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.467834Z digest=sha256:4e60cf7995ff1438901c9874f0d1493a8ce9a3511d9072a4ae0425fb2a762e52

Observation 858fa0f7-4e94-4dc2-b22f-a4a7b52d1790 · outbound

This paper cites Do Large Language Models Know What They Don't Know?.

Towards a Theory of AI Personhood Do Large Language Models Know What They Don't Know?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.471782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.471782Z digest=sha256:48cc3e4d91a30a7102c135aefb74fdba538de96b55a00f01087eff10ff41a0af

Observation 59a82f97-80b0-46c0-b1e0-a49f8545f675 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Towards a Theory of AI Personhood Towards Reasoning in Large Language Models: A Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.436508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.436508Z digest=sha256:c35fb0919e2409bc0d1fe6213d83c628f57f57e168d230ded8ccef83dd5f2ae7

Observation 40f6942e-c251-42f2-bd1b-086656ab3251 · outbound

This paper cites How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model.

Towards a Theory of AI Personhood How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.432419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.432419Z digest=sha256:78656b222cc25dcab404246096e686dd375fbcdc13a73b9882b4aecf16351c7d

Observation fd3d8563-60c8-478b-86e8-5b55757a0b59 · outbound

This paper cites Open Problems in Cooperative AI.

Towards a Theory of AI Personhood Open Problems in Cooperative AI

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.419054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.419054Z digest=sha256:843e2c53e8a8498f83161cff176112dae8f24fcd0aa0c5da941b2902be91aeef

Observation 4a7ae154-49aa-4640-9bc2-171b2a5da1a7 · outbound

This paper cites Advances in Neural Information Processing Systems , 35: 9460–9471.

Towards a Theory of AI Personhood Advances in Neural Information Processing Systems , 35: 9460–9471

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:56:41.636316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:56:41.459028Z digest=sha256:dc5fbd44ea91f333ab24569e492284845f620c978e83dbe0da3ae7a442aa5a6d

Observation d624ba36-4868-4ed7-a182-4a8a2f2396af · outbound

This paper cites Characterizing Manipulation from AI Systems.

Towards a Theory of AI Personhood Characterizing Manipulation from AI Systems

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.413976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.413976Z digest=sha256:8cb5ef5c31b91bcadc4a846e6774a4724329a57b3b63e2c6b000011ce092a572

Observation 44b15c9b-fa1b-4fc3-8542-877a71f786ad · outbound

This paper cites Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.

Towards a Theory of AI Personhood Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T15:56:41.441074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:56:41.441074Z digest=sha256:332ea1bc8f861ca8727f0eb3d702a18be57859c8f6ad1423f184ade86ab01422

Pith citing papers

Observation 9392c97d-300d-451b-85d5-af0c5e94fdab · inbound

AI Identity: Standards, Gaps, and Research Directions for AI Agents cites this paper.

AI Identity: Standards, Gaps, and Research Directions for AI Agents Towards a Theory of AI Personhood

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:14.435501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T08:01:15.140626Z digest=sha256:129acc7a32ac0556255289f310bedc6d985693b8100deb63159f97682134af62