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Paper Citation Record · LEDGER

Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.01648.

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

pith.paper-citation-record.v1
2312.01648 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:33:17.200609Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T23:08:02.988964Z

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 501ad800-ebb2-4b3b-9227-a0ed7aec9f4e · inbound

Resurrecting saturated LLM benchmarks with adversarial encoding cites this paper.

Resurrecting saturated LLM benchmarks with adversarial encoding Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:17.200609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:33:17.200609Z digest=sha256:d16fae2677052c65441ab8dfd9d03169e8bdcde930bc98f72af5a5756cd154d4

Observation 1366a7b7-3958-406c-a0bc-56ad3f7b7479 · inbound

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions cites this paper.

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:08:02.994811Z

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.

source=arxiv_source observed=2026-08-07T23:08:02.205089Z digest=sha256:aaf1f81e36956cee95280ce9de16321558fbd68e98a2161ad5a42394e73ce78f