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Paper Citation Record · LEDGER

Identifying Linear Relational Concepts in Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.08968.

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

pith.paper-citation-record.v1
2311.08968 v2

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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:32.565506Z

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

0
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 37259343-89bc-4d77-86f1-b3d382414c1e · inbound

Geospatial Mechanistic Interpretability of Large Language Models cites this paper.

Geospatial Mechanistic Interpretability of Large Language Models Identifying Linear Relational Concepts in Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T23:56:32.565506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:56:32.565506Z digest=sha256:78aa00ea33a460cc8da05fba349aacdd8a4f904fea568defeb65da83090f5e58

Observation 5328d520-3ebf-49c3-8bc7-32db8addeb22 · inbound

RCStat: A Statistical Framework for using Relative Contextualization in Transformers cites this paper.

RCStat: A Statistical Framework for using Relative Contextualization in Transformers Identifying Linear Relational Concepts in Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:37.608655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:37.608655Z digest=sha256:8a05ca66ccfd1fffee3647331bb49abd051792a81094b2e5b1af71652ab0c2be

Observation d986c1f1-d72a-4953-b1f3-5e3d43b6fc14 · inbound

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender cites this paper.

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender Identifying Linear Relational Concepts in Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:16.701801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-13T04:50:43.547037Z digest=sha256:5f2146fb83ab0f98aafdddb331f459423a5fec620ad8d207403c8e0caa917e7d

Observation 8c18b91f-c694-4388-8b1b-cdadbd5cdca3 · inbound

ToxiREX: A Dataset on Toxic REasoning in ConteXt cites this paper.

ToxiREX: A Dataset on Toxic REasoning in ConteXt Identifying Linear Relational Concepts in Large Language Models

Reference 258

Resolution
verified exact
arxiv_id, observed 2026-06-29T04:43:07.198939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-29T04:33:18.794505Z digest=sha256:fd39ade4244bf9a15f76e039cbaf3c901f3d24a227a13002b7616c3294130941