Paper Citation Record · LEDGER

Circuit Component Reuse Across Tasks in Transformer Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.08744.

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

pith.paper-citation-record.v1
2310.08744 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:56.044360Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 12a834ed-fb16-4038-ae8a-da41521b98df · inbound

How to use and interpret activation patching cites this paper.

How to use and interpret activation patching Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:34:06.993150Z

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.

Observation 440fc231-dc7f-413d-98aa-55ccb17809ff · inbound

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence cites this paper.

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:56.044360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ed4f4e-8328-4a17-a302-075f4d8e95bd · inbound

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cites this paper.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:18.368602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119eecba-5da6-40d7-a85f-6301fe42b66a · inbound

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:22.212757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab555f7a-9a92-4648-8d89-0f2ad3783b6b · inbound

Distinct Computations Emerge From Compositional Curricula in In-Context Learning cites this paper.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:54.781639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9cf5a4d-96db-46cf-998b-79584ef2e639 · inbound

From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits cites this paper.

From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T17:37:53.915873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded8d3bc-c88f-4ca5-be5a-5b74b9b2070d · inbound

Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings cites this paper.

Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:30:54.035354Z

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.

Observation 40f324c5-98aa-47c6-ad0e-19cfc18635ca · inbound

Localizing Anchoring Pathways in Language Models cites this paper.

Localizing Anchoring Pathways in Language Models Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:28:31.355684Z

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.

Observation c41c80af-45ea-4ff5-8023-5064c4e7d776 · inbound

Pretraining Curricula Enable Selective Fine-tuning cites this paper.

Pretraining Curricula Enable Selective Fine-tuning Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T12:36:24.747752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b196349-e0b6-48c9-9ef2-8596fefa7fba · inbound

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies cites this paper.

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:53:09.982258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.