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Paper Citation Record · LEDGER

The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.05859.

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

pith.paper-citation-record.v1
2408.05859 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:39.621528Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T12:40:54.692161Z

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 9ef9546b-a5f1-4f3f-bd92-ab55cfa70bc2 · inbound

Thinking beyond the anthropomorphic paradigm benefits LLM research cites this paper.

Thinking beyond the anthropomorphic paradigm benefits LLM research The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T22:21:52.510277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.510277Z digest=sha256:f5436ba9521cd7ad64f246dd7345060c706df3c79d8e17a7a4511cf27b71c237

Observation 44add0eb-fe54-4fef-a2d7-0807d9928bec · inbound

Seeing Through Risk: A Symbolic Approximation of Prospect Theory cites this paper.

Seeing Through Risk: A Symbolic Approximation of Prospect Theory The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:50:39.621528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:50:39.621528Z digest=sha256:47b20aa851cf9c2a6fe6015a06fc077ed98bddb1418b8b51fd9a7d57527bc0cf

Observation 1ec5f840-4fdb-4606-8eee-35883757dc27 · inbound

AI Behavioral Science cites this paper.

AI Behavioral Science The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T17:27:30.500713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:27:30.500713Z digest=sha256:4e45a7c2c907d0161546a3ae32671155f2687d68fb8fcf2294306088f6a0184b

Observation ff4483d5-8410-4bc1-b79a-3da158f241a6 · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:40:54.694199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:ae6be566d14c2004d262ab699389852c181b0a5c1362cfe42c70a690bd74d948

Observation e7d2ca3b-9972-4fe7-a8f1-2d790d50d650 · inbound

Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence cites this paper.

Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T00:25:16.657402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:25:16.657402Z digest=sha256:fb83accb9232b854783dbdc98bae2cafc07bccff7add91bb7c2881e3ec824c3d