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Paper Citation Record · LEDGER

Automatically Identifying Local and Global Circuits with Linear Computation Graphs

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.13868.

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

pith.paper-citation-record.v1
2405.13868 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:21:33.956907Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T22:12:50.908476Z

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 522e24f5-217d-44a6-b183-1b8aff6f0eab · inbound

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models cites this paper.

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models Automatically Identifying Local and Global Circuits with Linear Computation Graphs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T10:11:51.652517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:11:51.652517Z digest=sha256:51556072f4361c1a5cfaf683b5d2ae066db93bdc2f71601c2d6725ef15b9452e

Observation d6cf6feb-bd66-40f0-a75d-681ee4e6d83e · inbound

Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition cites this paper.

Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition Automatically Identifying Local and Global Circuits with Linear Computation Graphs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T05:21:33.956907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:21:33.956907Z digest=sha256:2ee70798962c0bee100df4c3b76413e1335e5296a63f6ac13b8e6121a290f9ac

Observation 40a80de9-8fb3-432b-8930-313ba78f6b85 · inbound

$K$-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks cites this paper.

$K$-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks Automatically Identifying Local and Global Circuits with Linear Computation Graphs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:57.746262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:57.746262Z digest=sha256:a9fd9e3dfc2f6b95de459585060237dbce230f399256fa84de6dabe9bb8e8fe1

Observation 5654fa34-3495-42a0-9255-8f73d36c51b5 · inbound

Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition cites this paper.

Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition Automatically Identifying Local and Global Circuits with Linear Computation Graphs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T09:43:51.976205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:43:51.976205Z digest=sha256:e6fe2150098e2822d21750f0eb26d7c4219a80484278480235b9067debd7c9a1

Observation 9154bceb-b221-4115-a855-376a2453ddfb · inbound

Not How Many, But Which: Parameter Placement in Low-Rank Adaptation cites this paper.

Not How Many, But Which: Parameter Placement in Low-Rank Adaptation Automatically Identifying Local and Global Circuits with Linear Computation Graphs

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T06:17:23.184070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T06:13:55.497799Z digest=sha256:3ce7f7aa8038871eb8460ab00dd56a0c4a7f10a588d32f6e894b1a7dcbafbd3f

Observation c6454ff3-2567-497d-ac86-fcbc23f47603 · inbound

Toy Combinatorial Interpretability Models Reveal Lottery Tickets in Early Feature Space cites this paper.

Toy Combinatorial Interpretability Models Reveal Lottery Tickets in Early Feature Space Automatically Identifying Local and Global Circuits with Linear Computation Graphs

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-19T22:12:50.912477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-19T22:09:53.796520Z digest=sha256:13480c11102107518e148a56adf49b9c0a851779b724a344a574935017c22dbb

Observation 15905d18-feab-48cb-bb8c-1d6fa837c316 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Automatically Identifying Local and Global Circuits with Linear Computation Graphs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T23:15:21.461651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:21.461651Z digest=sha256:db40d4d539644136c393df19e7229423f3d5347c02c08e91884038270ada888b