Paper Citation Record · LEDGER

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.24026.

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

pith.paper-citation-record.v1
2606.24026 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:47:00.310205Z

measured 35 of 35 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 630106ce-c732-46c8-a961-19f73307ba2a · outbound

This paper cites A Primer on the Inner Workings of Transformer-based Language Models.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? A Primer on the Inner Workings of Transformer-based Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:19:57.641510Z

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 605507d4-3db6-4515-9abd-a7df0d789ecf · outbound

This paper cites How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:19:57.638846Z

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 52dfce92-da63-4df8-a78d-5f6854a86556 · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? LLM Evaluators Recognize and Favor Their Own Generations

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T16:19:57.636033Z

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 a0e18a2c-0956-4e02-a8ce-6920b22363e5 · outbound

This paper cites Thinking Like Transformers.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Thinking Like Transformers

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:19:57.633598Z

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 886b2464-76a3-4369-a1d0-3a3f55ea5d4d · outbound

This paper cites See the Task Information below for input- output examples.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? See the Task Information below for input- output examples

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44653b11-773c-4fa3-9312-56a0093b209e · outbound

This paper cites 3.Localized components:{ALL_COMPONENTS} 4.Target component:{COMPONENT_IDENTIFIER}.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? 3.Localized components:{ALL_COMPONENTS} 4.Target component:{COMPONENT_IDENTIFIER}

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1696917-7c2e-43e3-b912-566538e31be2 · outbound

This paper cites Your goal is to explain the functional role of the target component within this circuit.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Your goal is to explain the functional role of the target component within this circuit

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94d3e65c-511e-4a68-b70d-35fe173e7268 · outbound

This paper cites 7.Iterative Workflow: (a) Observation:Gather descriptive evidence about the behavior and activation patterns of COMPONENT_IDENTIFIER using the avail- able analysis tools.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? 7.Iterative Workflow: (a) Observation:Gather descriptive evidence about the behavior and activation patterns of COMPONENT_IDENTIFIER using the avail- able analysis tools

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59061c9c-262c-4b30-9602-cfdf375ecda7 · outbound

This paper cites Do not include ablations or causal interven- tions.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Do not include ablations or causal interven- tions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb86066-6247-440b-8f20-2b5fbdf862cc · outbound

This paper cites After this step, Python code will be generated directly from this plan.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? After this step, Python code will be generated directly from this plan

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37088abd-796f-4658-9251-03158e297968 · outbound

This paper cites OBSERVATION PLAN for {COMPONENT_IDENTIFIER}.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? OBSERVATION PLAN for {COMPONENT_IDENTIFIER}

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8542c252-a1c1-4d91-a138-5b784040f7aa · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e030db-ea4e-4d47-95bc-289644a192ee · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fef3b50-1529-4365-a3e7-7d518c804c4b · outbound

This paper cites The code must implement the observation plan, assign all outputs to a dictionary namedresult.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? The code must implement the observation plan, assign all outputs to a dictionary namedresult

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134e21b4-b5d4-49ce-a173-23194f79ebd6 · outbound

This paper cites Do not contradict observed evidence.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Do not contradict observed evidence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af50e71b-9a46-46e2-81f7-6d2575acf14f · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28310f5-cc4b-4e85-a4b3-62b9edd1335c · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e02ccd9a-b097-4d4e-8ecf-cc317bec85dd · outbound

This paper cites we hypothesize that.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? we hypothesize that

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1ab555-bfaf-4705-9b88-1893c790c081 · outbound

This paper cites Appropriate methods include activation patching, mean ablation, interchange intervention etc.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Appropriate methods include activation patching, mean ablation, interchange intervention etc

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad9272e9-0c0e-4cae-8788-ac74f04df55e · outbound

This paper cites The expected result should follow logically from what the hypothesis predicts.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? The expected result should follow logically from what the hypothesis predicts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be0af92b-8f3c-49f3-9754-f4a727852270 · outbound

This paper cites In the next step, Python code will be generated directly from this plan.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? In the next step, Python code will be generated directly from this plan

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 688cc06f-5de1-4c17-9ac6-47d0f3b48c94 · outbound

This paper cites VALIDATION PLAN for COMPONENT_IDENTIFIER.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? VALIDATION PLAN for COMPONENT_IDENTIFIER

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292cde68-7c03-491f-8316-559ad9e90011 · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed8b9ed1-feed-485c-9066-34112502178a · outbound

This paper cites Helper functions are already defined in the execution environment and should be called directly, without import statements.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Helper functions are already defined in the execution environment and should be called directly, without import statements

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d0b4bf-9677-453c-905d-25861fe53bc4 · outbound

This paper cites The code must implement the validation plan, assign all outputs to a dictionary namedresult.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? The code must implement the validation plan, assign all outputs to a dictionary namedresult

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a9a5e4-888d-4ca8-a82a-7977c9f774ed · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c81b6c2-baf8-4f19-9e8c-371a1ad4972e · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e412d38-dd0d-48e6-aefc-9d8431099dbe · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14473a6e-9675-4677-8f75-322f452daae7 · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989977f2-9111-4d11-ad79-812dd4c5ea42 · outbound

This paper cites Respond with a JSON object containing one entry for each component.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Respond with a JSON object containing one entry for each component

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c789aa7-f044-40f7-9e08-e77318477b40 · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 914819fb-3f9c-4f7b-920d-19b9d337e487 · outbound

This paper cites an unresolved cited work.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86ca2e7-b517-4b41-b020-d5f7eac675ff · outbound

This paper cites If the mechanisms conflict with the examples, prioritize the examples.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? If the mechanisms conflict with the examples, prioritize the examples

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed421d7-42de-4752-b162-f02d09db5b5d · outbound

This paper cites Do not include these checks in the final output.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? Do not include these checks in the final output

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23dcc1d5-5c7e-4331-8272-4ebbd2324aa0 · outbound

This paper cites x").named(.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? x").named(

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T00:47:00.310205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.