Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.07413.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:22:44.829284Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:49:57.921808Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 31dc4491-51cd-4743-b9b5-81d2460fdd41 · inbound
A Survey of Theory of Mind in Large Language Models: Evaluations, Representations, and Safety Risks AI capabilities can be significantly improved without expensive retraining
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccf5aff4-cd22-4ee0-84a7-531d541564d2 · inbound
Compute Requirements for Algorithmic Innovation in Frontier AI Models AI capabilities can be significantly improved without expensive retraining
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c2edbcf-9e31-44fd-b347-8a9c7250d5d7 · inbound
Comprehensive AI governance requires addressing non-model gains AI capabilities can be significantly improved without expensive retraining
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4f4d2c9d-614d-49da-a1ba-5be9d7cc60a6 · inbound
Internal Data Repetition Destroys Language Models AI capabilities can be significantly improved without expensive retraining
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 29ede5a7-7cc9-411d-b37c-d36ed6f708c9 · inbound
Multi-Head Attention Residuals AI capabilities can be significantly improved without expensive retraining
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cc59b98-1840-4561-9278-3d5203a95c98 · inbound
Multi-Head Attention Residuals AI capabilities can be significantly improved without expensive retraining
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.