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Paper Citation Record · LEDGER

A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.11917.

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

pith.paper-citation-record.v1
2402.11917 v3

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:35:02.224040Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T15:06:17.991301Z

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 8c358437-31b3-4607-8bbc-1ad78d6c1e84 · inbound

Transformers Use Causal World Models in Maze-Solving Tasks cites this paper.

Transformers Use Causal World Models in Maze-Solving Tasks A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T14:35:02.224040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:35:02.224040Z digest=sha256:44f986c516bbe91ecede98e6efc8718f5e25505a60f5d82af45dabf358bda475

Observation 6ce28c04-ea46-4255-8d9d-f813e21a7006 · inbound

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models cites this paper.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:08.754681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:08.754681Z digest=sha256:d9dd772982e1b00dc86e7ac2f465b03334cfcf38c2c2033ada80cdd6e83a47de

Observation 401463f5-2407-4e65-b19d-c70e255ae573 · inbound

Agentic Transformers Provably Learn to Search via Reinforcement Learning cites this paper.

Agentic Transformers Provably Learn to Search via Reinforcement Learning A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:42:49.984239Z

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=2026-06-28T23:26:28.158991Z digest=sha256:3e92cc194018e1b61f21451c46c45428dc0d88877869de96a18d61c16ff6efeb

Observation 771ea328-8cd8-4202-a54e-584f35fd54cf · inbound

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners cites this paper.

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:46:26.478402Z

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=2026-06-28T11:36:14.896698Z digest=sha256:c7f36f8659453e373426a2f5670d88cc7d2b195e697d830c73c84c2abfe2b51d

Observation e3c36992-318a-4a23-a5a6-305eff92a5d2 · inbound

Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning cites this paper.

Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-09T15:06:17.992693Z

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=2026-07-09T14:58:58.363330Z digest=sha256:1e908f1aab380d9b89622b7c3b2eb48e3ab23f2bbaba4f75601fc27d631b5a1a