Paper Citation Record · LEDGER

Truthful AI: Developing and governing AI that does not lie

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2110.06674.

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

pith.paper-citation-record.v1
2110.06674 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:52.756243Z

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

9
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 07ca76f3-fd12-4112-8210-181f369f483a · inbound

Teaching Models to Express Their Uncertainty in Words cites this paper.

Teaching Models to Express Their Uncertainty in Words Truthful AI: Developing and governing AI that does not lie

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:36:08.619241Z

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 35d689ff-737c-4a3a-aa5c-116e460b0e67 · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Truthful AI: Developing and governing AI that does not lie

Reference 196

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:42:47.533040Z

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 12269bc7-6dd8-4ba7-89e7-e45b05c82c0f · inbound

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

Discovering Latent Knowledge in Language Models Without Supervision Truthful AI: Developing and governing AI that does not lie

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:34:08.298850Z

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 865f5c98-ff54-4c57-bf5d-8f2520c17bce · inbound

Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks cites this paper.

Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks Truthful AI: Developing and governing AI that does not lie

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:52.756243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e963b313-e3ce-4a8f-a981-2ad6bf27bafc · inbound

Out of Control -- Why Alignment Needs Formal Control Theory (and an Alignment Control Stack) cites this paper.

Out of Control -- Why Alignment Needs Formal Control Theory (and an Alignment Control Stack) Truthful AI: Developing and governing AI that does not lie

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:57.507257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d2a7b3-76ca-464c-a9f5-587b1fd3ca29 · inbound

A Mathematical Theory of Discursive Networks cites this paper.

A Mathematical Theory of Discursive Networks Truthful AI: Developing and governing AI that does not lie

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:08:18.450169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e5cacf8-4d0b-4171-bba9-1749278e2d02 · inbound

Deceive, Detect, and Disclose: Large Language Models Play Mini-Mafia cites this paper.

Deceive, Detect, and Disclose: Large Language Models Play Mini-Mafia Truthful AI: Developing and governing AI that does not lie

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:26:24.876334Z

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 c588f47c-7dec-4a4f-8959-f74ffb077b3a · inbound

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations cites this paper.

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations Truthful AI: Developing and governing AI that does not lie

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:56:19.747489Z

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.