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Paper Citation Record · LEDGER

Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.06672.

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

pith.paper-citation-record.v1
2410.06672 v2

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:20:36.938660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:26:48.393678Z

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 76c60b26-7be2-4880-b68d-388eddcb6379 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:59:28.684012Z

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=2026-05-14T20:53:40.666929Z digest=sha256:36ea4a630de65e835e6c24effe700247f13dbda5d2402129851d3f0b1707b4f9

Observation 0f3dabb3-bda0-4540-b116-43d7e8bd12d6 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T04:59:45.258641Z

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=2026-05-15T04:59:11.877068Z digest=sha256:4ecd262f3e9aea458622628c678888a30b3ea7858803206146550881d17b2275

Observation 5448e303-fc14-4404-9a64-e12546ce6b98 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:49:50.093841Z

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=pdf_text observed=2026-05-21T07:46:41.159688Z digest=sha256:c8c0d4c48c0999517d530648d903dce204e52f1126d5a6212646b0a58bd1b9d2

Observation db2e7890-6590-4166-9cb6-a0bccec0484d · inbound

Auditing CoT Answer-Hijack Patches: Source-Control Certificates with Type-I Guarantees cites this paper.

Auditing CoT Answer-Hijack Patches: Source-Control Certificates with Type-I Guarantees Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:26:48.394985Z

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=2026-06-28T06:00:46.938039Z digest=sha256:310713d4f5532e24b1ede511da025d05184cd8092859766f7a97ce95ef7f3329

Observation 70035856-5144-44e5-b5f6-5bc5b62fddd8 · inbound

What, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations cites this paper.

What, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T07:20:36.938660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:20:36.938660Z digest=sha256:bc419dcb273f1e69ae2316d51232d822d677caf427862994ec8db73b85480ed2