Paper Citation Record · LEDGER

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2510.25013.

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

pith.paper-citation-record.v1
2510.25013 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:41:44.764381Z

measured 20 of 20 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T14:58:58.363330Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T15:06:18.078917Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d508d387-b8d6-44a1-810f-830bb4ce4849 · outbound

This paper cites Mechanistic Interpretability for AI Safety - A Review.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Mechanistic Interpretability for AI Safety - A Review

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.192475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac51379-2b29-4588-a709-bb52eae846bc · outbound

This paper cites A Mechanis- tic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers A Mechanis- tic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.275268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4529e2ea-1e7b-468e-b8ce-6562262d51b7 · outbound

This paper cites Language Models are Few-Shot Learners.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.348399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae557388-0240-4708-91d3-c9c023a3036c · outbound

This paper cites Towards Automated Circuit Discovery for Mechanistic Interpretability.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Towards Automated Circuit Discovery for Mechanistic Interpretability

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.413661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa28140-e79e-4ff4-bfbd-26cefea29a33 · outbound

This paper cites A Mathematical Framework for Transformer Circuits.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers A Mathematical Framework for Transformer Circuits

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.486550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce52f480-e655-460f-b5ae-c4a6c95bcc59 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Transformer Feed-Forward Layers Are Key-Value Memories

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.559742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff49c0f0-70c8-4f67-8149-8475b91575ab · outbound

This paper cites Decoupled Weight Decay Regularization.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Decoupled Weight Decay Regularization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.629745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6789ae56-131a-48fb-9368-50b89f7a98fd · outbound

This paper cites Version v2.16.1.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Version v2.16.1

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.730091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c45f6ebe-3306-4188-937b-d9664480ea39 · outbound

This paper cites Progress Measures for Grokking via Mechanistic Interpretability.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Progress Measures for Grokking via Mechanistic Interpretability

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.805012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a561811-1706-4b23-b7fa-844af98feaa1 · outbound

This paper cites LessWrong.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers LessWrong

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:43.912955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaf497ce-554e-4c21-8dec-0dd5a41d0513 · outbound

This paper cites Zoom In: An Introduction to Circuits.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Zoom In: An Introduction to Circuits

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.025724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826b3ca6-bbdc-4902-b1e6-911ad7dd427c · outbound

This paper cites GPT-4 Technical Report.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers GPT-4 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.095119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94eb4edd-2157-4186-8095-9fffc7046da2 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Language Models are Unsupervised Multitask Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.179282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7476a81d-4507-4acb-815e-0318bd43c8fc · outbound

This paper cites AI Alignment Forum.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers AI Alignment Forum

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.237332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9a5eda-e59e-4f6c-aa4c-aedb2ec13ac3 · outbound

This paper cites Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.318268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b503f26e-d8a3-4a7a-a508-b013a0f4b4df · outbound

This paper cites Real Spectra of Large Real Asymmetric Random Matrices.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Real Spectra of Large Real Asymmetric Random Matrices

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.445365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a7e2c3-e788-4156-bea1-b5a8d4708801 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.559288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a838ab6d-4265-4578-b818-1bd38877893a · outbound

This paper cites Attention is All you Need.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers Attention is All you Need

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.662248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae51d10-2070-4336-8bd3-5375f09d350a · outbound

This paper cites In- terpretability in the Wild: A Circuit for Indirect Object Identification in GPT-2 Small.

Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers In- terpretability in the Wild: A Circuit for Indirect Object Identification in GPT-2 Small

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T07:41:44.764381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b606e068-68d0-4af2-8390-d79275e856b1 · 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 Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-09T15:06:18.080095Z

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.