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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:253fac79c92a27de94c64cc000f2acf8e5b9ee4d80ad8267fd3205507b461386

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=sha256:7236566115449d678d1f87645bbfc8c3bfc6004b268fd0c73e630708b60426c6

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T23:26:28.158991Z digest=sha256:fe06bd73d08c616c724b2c11236b05a7725b48092cdb0c7f157ea248fe2370f4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T11:36:14.896698Z digest=sha256:f5e07cd2be71c0235d4c6afbc96e295d7ed482b350efd54d6a0fc69736fa496b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-09T14:58:58.363330Z digest=sha256:e500faab2992faa2cd4b6ce26c299e43139d37457117b49868b74dc4eb377765