Paper Citation Record · LEDGER

Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14546.

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

pith.paper-citation-record.v1
2406.14546 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:27.678867Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:01:29.579804Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e4000abf-55d7-47dd-9335-9c7e27a51c26 · inbound

Model Organisms for Emergent Misalignment cites this paper.

Model Organisms for Emergent Misalignment Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:28.219516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3408638e-1214-4327-bd51-4847ba9a6e00 · inbound

Convergent Linear Representations of Emergent Misalignment cites this paper.

Convergent Linear Representations of Emergent Misalignment Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:27.678867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 754bff99-2877-43b2-ac82-fe61f88e9305 · inbound

Characterizing the Consistency of the Emergent Misalignment Persona cites this paper.

Characterizing the Consistency of the Emergent Misalignment Persona Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:29.582468Z

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 b1885033-e6ae-4ec6-bb3f-25c27ca3ddaf · inbound

Shared SFT Lessons Across Alignment, Model Organisms, and Toy Models cites this paper.

Shared SFT Lessons Across Alignment, Model Organisms, and Toy Models Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T00:38:42.989353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.