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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=sha256:7c970fd7518ce9dd7c32144e875e6b4f673a766ffb4631c4a48730ac669e681c

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:b82d5134df35e9eecb50bd5e48342bf8042f3ececcae5906c8940b25c6e216bf

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=sha256:0f4914b96a72e9ca935f423937d03cfc765e11c48eb2f6e4bee92dfd62fb3576

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=sha256:19cb8ae175a11c892a7fb407c4d5f8c9f16b8c95453f59bb720937f70768d564