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Paper Citation Record · LEDGER

Can Graph Learning Learn Circuits?

As of 19 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2608.08536.

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

pith.paper-citation-record.v1
2608.08536 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:37:21.562254Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

70 of 70 outbound references displayed

  • verified exact4
  • verified fuzzy43
  • unresolved21
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1d4a532-70bb-49d3-877c-bc05b6b3c4bc · outbound

This paper cites Attribution Patching Outperforms Automated Circuit Discovery.

Can Graph Learning Learn Circuits? Attribution Patching Outperforms Automated Circuit Discovery

Reference 1

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0fee7cb9-cf9b-4cd4-ae86-68d651d68cf3 · outbound

This paper cites Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms.

Can Graph Learning Learn Circuits? Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 27e97733-56b5-404b-9721-0a60873cb444 · outbound

This paper cites MIB: A Mechanistic Interpretability Benchmark.

Can Graph Learning Learn Circuits? MIB: A Mechanistic Interpretability Benchmark

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8df75783-0fd4-4031-b6f0-0cd2d3185627 · outbound

This paper cites Finding Trans- former Circuits With Edge Pruning.

Can Graph Learning Learn Circuits? Finding Trans- former Circuits With Edge Pruning

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T04:37:21.257157Z digest=sha256:6750dbbdab32ab244ea0e267ab9c4386c833c37c476566086e21d3556224423f

Observation 60723134-24ef-44fa-b2ae-aa21314dec75 · outbound

This paper cites Low-Complexity Probing via Finding Sub- networks.

Can Graph Learning Learn Circuits? Low-Complexity Probing via Finding Sub- networks

Reference 5

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c53e7713-7ba2-4869-8a4e-13aed99fa81c · outbound

This paper cites BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods.

Can Graph Learning Learn Circuits? BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods

Reference 6

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doi, observed 2026-08-14T04:37:22.741700Z

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Observation 3689c803-8738-4131-b8cc-136829703d1a · outbound

This paper cites Towards Automated Circuit Discovery for Mechanistic Interpretability.

Can Graph Learning Learn Circuits? Towards Automated Circuit Discovery for Mechanistic Interpretability

Reference 7

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Observation 52be49bd-c88d-429b-87dc-cbe75929a610 · outbound

This paper cites Graph Metanetworks for Processing Diverse Neural Architectures.

Can Graph Learning Learn Circuits? Graph Metanetworks for Processing Diverse Neural Architectures

Reference 8

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 05dba6fa-ee49-4dad-936c-b777310402f3 · outbound

This paper cites A Survey of Weight Space Learning: Understanding, Representation, and Generation, 2026.

Can Graph Learning Learn Circuits? A Survey of Weight Space Learning: Understanding, Representation, and Generation, 2026

Reference 9

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.287247Z digest=sha256:41fe267da68e66a9a939ea164101076776472299dfee5287a5d74b8a1c52a083

Observation b47d568a-e462-45f8-849b-e6e39319e3bc · outbound

This paper cites Zico Kolter, and Chelsea Finn.

Can Graph Learning Learn Circuits? Zico Kolter, and Chelsea Finn

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9327b8ee-2c3b-46b9-a11d-f8e0025a4243 · outbound

This paper cites Parameterized Explainer for Graph Neural Network.

Can Graph Learning Learn Circuits? Parameterized Explainer for Graph Neural Network

Reference 11

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Observation fc26b19f-83d3-4fba-a9a5-94be45d3adcd · outbound

This paper cites InterpBench: Semi- Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques.

Can Graph Learning Learn Circuits? InterpBench: Semi- Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques

Reference 12

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Source-reported events for the cited work

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Observation 9d0f884c-225d-413d-974a-b0033008bec7 · outbound

This paper cites an unresolved cited work.

Can Graph Learning Learn Circuits? Unresolved cited work

Reference 13

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Observation 853c39b7-3a91-4fcb-8f50-b870553a8445 · outbound

This paper cites Springer International Publishing, 2013.

Can Graph Learning Learn Circuits? Springer International Publishing, 2013

Reference 14

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Observation d7ca7554-9664-4b18-b3dc-925f60a992c3 · outbound

This paper cites Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick.Journal of Machine Learning Research, 26(23):1–44, 2025.

Can Graph Learning Learn Circuits? Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick.Journal of Machine Learning Research, 26(23):1–44, 2025

Reference 15

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Observation 9d948280-a56c-42f9-b26f-3c668d3667cb · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, January 2025.

Can Graph Learning Learn Circuits? Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, January 2025

Reference 16

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Observation 2dbd728c-7bea-4d14-b799-7efe7fb72122 · outbound

This paper cites Bronstein.

Can Graph Learning Learn Circuits? Bronstein

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1e1acd43-2bf4-457c-af53-ca4bfb6ed403 · outbound

This paper cites Transformers over Directed Acyclic Graphs.

Can Graph Learning Learn Circuits? Transformers over Directed Acyclic Graphs

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 71af5413-9593-40eb-a35d-472deb2efe37 · outbound

This paper cites Deep Sets.

Can Graph Learning Learn Circuits? Deep Sets

Reference 19

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3601e0c6-04ed-4b92-8495-190d5ac7dd31 · outbound

This paper cites A Mathematical Framework for Transformer Circuits.Transformer Circuits Thread,.

Can Graph Learning Learn Circuits? A Mathematical Framework for Transformer Circuits.Transformer Circuits Thread,

Reference 20

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 295d127f-ebb1-47a7-9025-363dca0e9df1 · outbound

This paper cites Graph Foundation Models: A Comprehensive Survey.

Can Graph Learning Learn Circuits? Graph Foundation Models: A Comprehensive Survey

Reference 21

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Observation 55d309d8-82ba-43da-bce4-1436571c8a67 · outbound

This paper cites Thinking Like Transformers.

Can Graph Learning Learn Circuits? Thinking Like Transformers

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a5e6b2a9-8545-436e-b3ed-a566fa2190b6 · outbound

This paper cites Tracr: Compiled Transformers as a Laboratory for Interpretability.

Can Graph Learning Learn Circuits? Tracr: Compiled Transformers as a Laboratory for Interpretability

Reference 23

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Observation d2e91547-98cd-4a00-bd53-88ce1cadaf1a · outbound

This paper cites TracrBench: Generating Interpretability Testbeds with Large Language Models.

Can Graph Learning Learn Circuits? TracrBench: Generating Interpretability Testbeds with Large Language Models

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ffa1121c-52f6-4419-bd8c-f589eaf1d8c4 · outbound

This paper cites 2, 10, 11, 12.

Can Graph Learning Learn Circuits? 2, 10, 11, 12

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 69b694da-fae1-4737-bb25-462b405723f5 · outbound

This paper cites Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models.

Can Graph Learning Learn Circuits? Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models

Reference 26

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Unavailable: canonical work link unavailable.

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Observation 5e05e72c-9b97-45c4-8873-d2ecd6403f03 · outbound

This paper cites Is This the Sub- space You Are Looking for? An Interpretability Illusion for Subspace Activation Patch- ing.

Can Graph Learning Learn Circuits? Is This the Sub- space You Are Looking for? An Interpretability Illusion for Subspace Activation Patch- ing

Reference 27

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 29e8dbdf-9072-41e2-9482-24fbfcd9ccf3 · outbound

This paper cites Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits.

Can Graph Learning Learn Circuits? Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 83238a52-3331-4ad6-b1c5-ca30a3041f7c · outbound

This paper cites PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs.

Can Graph Learning Learn Circuits? PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a708962c-0d72-49b5-bd47-322980e88b87 · outbound

This paper cites Attention is All you Need.

Can Graph Learning Learn Circuits? Attention is All you Need

Reference 30

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raw_fallback, observed 2026-08-14T04:37:22.488668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 88802f1f-8eb7-4a5f-8fab-b9b900549706 · outbound

This paper cites Nonlinear Laplacians Improve Signed-Directed Graph Learning.

Can Graph Learning Learn Circuits? Nonlinear Laplacians Improve Signed-Directed Graph Learning

Reference 31

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raw_fallback, observed 2026-08-14T04:37:22.412601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a166f29b-2107-4430-a607-b99ad68bdf1a · outbound

This paper cites Billion-Scale Graph Foundation Models.

Can Graph Learning Learn Circuits? Billion-Scale Graph Foundation Models

Reference 32

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Unavailable: canonical work link unavailable.

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Observation d65bfa68-c197-4e7d-8da7-5a51af479eba · outbound

This paper cites Generalized Linear Mode Connectivity for Transformers.

Can Graph Learning Learn Circuits? Generalized Linear Mode Connectivity for Transformers

Reference 33

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raw_fallback, observed 2026-08-14T04:37:22.396315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4b8ccba5-4b28-497f-8be1-5d3ed78cada0 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Can Graph Learning Learn Circuits? Fast Graph Representation Learning with PyTorch Geometric

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.412919Z digest=sha256:b9933eb70d92f493a8887cc8297070b2de1fe09bd5c334210a358819add09991

Observation 0f2cf9a2-2849-4e82-b253-f0e1100e2ba5 · outbound

This paper cites MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

Can Graph Learning Learn Circuits? MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian

Reference 35

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raw_fallback, observed 2026-08-14T04:37:22.428780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 152d333d-96d6-4043-8e76-b6e23dcc04ee · outbound

This paper cites Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe.

Can Graph Learning Learn Circuits? Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe

Reference 36

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no resolver link, observed 2026-08-14T04:37:21.422490Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.422490Z digest=sha256:8273a3f152497735305d32cd5eb2b1163e1429924d0f1b701570b923909076b1

Observation 9bf6c61d-0e62-4ab4-9728-91a4c6301a2c · outbound

This paper cites Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning, 2026.

Can Graph Learning Learn Circuits? Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning, 2026

Reference 37

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no resolver link, observed 2026-08-14T04:37:21.426838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.426838Z digest=sha256:dba0ea8280725dd61729b91a6c320925dd28671b5309f9c8c7a65151dffa31cb

Observation 7c1ee772-7bf7-4b08-ab9d-b301a71d4f82 · outbound

This paper cites Rethinking Attention with Performers.

Can Graph Learning Learn Circuits? Rethinking Attention with Performers

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.370237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.431868Z digest=sha256:7fcb3d8dbb34577a77934cd7a6ab7e8da833e49dedc5e1ea5af1588af2eb0527

Observation 2cb74097-ae8b-46c4-9f65-f7b6df5d169b · outbound

This paper cites Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.

Can Graph Learning Learn Circuits? Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.356746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.436565Z digest=sha256:8b5c7b3c502dcc8bc396eac09bb0ef73aa3f21549b931efe3e1319d5ed05e864

Observation 3b7ffa52-3ad2-4dcb-9887-058acc966076 · outbound

This paper cites PyG 2.0: Scalable Learning on Real World Graphs.

Can Graph Learning Learn Circuits? PyG 2.0: Scalable Learning on Real World Graphs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.417737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.417737Z digest=sha256:c71014f6b3c0435fb861b15055a069be687e116ef3e63bfb7d863924073da5e8

Observation fefa0053-7862-44cf-93e4-6ffe6d9bf6b5 · outbound

This paper cites Rethinking Circuit Complete- ness in Language Models: AND, OR, and ADDER Gates.

Can Graph Learning Learn Circuits? Rethinking Circuit Complete- ness in Language Models: AND, OR, and ADDER Gates

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.311707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.450775Z digest=sha256:37fc7e44c08f1a16baa1fc79a43fc2e4e90d6ad2e1111fc5e08a7099aac1b7e1

Observation a421b84a-53e8-4742-a963-516ccfb00932 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small.

Can Graph Learning Learn Circuits? Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.296946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.455080Z digest=sha256:037adb2118edddfafa832fe65774adce434bbfeedbdd430a64ad94d1467a8157

Observation a5732011-4f82-4cbc-b1b4-0bad6db031a1 · outbound

This paper cites The Hydra Effect: Emergent Self-repair in Language Model Computations.

Can Graph Learning Learn Circuits? The Hydra Effect: Emergent Self-repair in Language Model Computations

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.460632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.460632Z digest=sha256:a247b4a65991da881b4fae3e8ed833c3fceebcfc9102a7e1ad7d1bb65e5e62bb

Observation 9b9496cb-a837-4cb9-86b7-1ab9ca0ba9e3 · outbound

This paper cites Explorations of Self-Repair in Language Models.

Can Graph Learning Learn Circuits? Explorations of Self-Repair in Language Models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.283998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.465174Z digest=sha256:0faab6f6e821348c0e60b45b83cb778268584ad48a91474c016ce79029c0e857

Observation cb26cb9e-224a-4248-9bc3-1e410a1285fd · outbound

This paper cites Janizek, Pascal Sturmfels, and Su-In Lee.

Can Graph Learning Learn Circuits? Janizek, Pascal Sturmfels, and Su-In Lee

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.343214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.440994Z digest=sha256:adb5a09a13eaf2ea9a959c6eb2bb5dc37b416f77864272c7e3aed4f9010a027a

Observation 177cffa4-5a57-4fd5-bcae-e34550e8c5a0 · outbound

This paper cites an unresolved cited work.

Can Graph Learning Learn Circuits? Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:37:22.328169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.445669Z digest=sha256:2b32821bbebf5efab08675eb055156904157aca64ce22c8b1336e309e1ff2180

Observation aedab491-bb82-450f-9745-760b271543e4 · outbound

This paper cites MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability.

Can Graph Learning Learn Circuits? MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:37:21.896236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.478819Z digest=sha256:b990b431031a5feeca85cc5d4d778bc278615cb42dd9fefbedc101b24b7f8831

Observation 32c9eee7-8580-4b62-9ecb-554c6d551305 · outbound

This paper cites Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer.

Can Graph Learning Learn Circuits? Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T04:37:21.876693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.483278Z digest=sha256:d765a5fe7998d4885e1e4d6adc78a59322a88d5a7d25e5dbb81b1743bda250d2

Observation 0f1ecc33-ddcc-45b6-8d44-d62227ceb436 · outbound

This paper cites Derpanis.

Can Graph Learning Learn Circuits? Derpanis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.269714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.487915Z digest=sha256:dbb0a6ba32ed14b45da9c764b413dfec622adb22faa21f476f4e9e7f9fae2e08

Observation 03eb8192-d1f7-4049-a166-38bb3fb3c4a8 · outbound

This paper cites Scalable Circuit Learning for Interpreting Large Language Models, 2026.

Can Graph Learning Learn Circuits? Scalable Circuit Learning for Interpreting Large Language Models, 2026

Reference 50

Resolution
verified exact
raw_fallback, observed 2026-08-14T04:37:21.857720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.492694Z digest=sha256:4a9cf93c7aeb1eecfb853a5111a4ff94df7e40c8598594d7e8b39d131876cd77

Observation 41e969de-101e-474d-b37a-611e6ee82e1f · outbound

This paper cites Copy Suppression: Comprehensively Understanding an Attention Head.

Can Graph Learning Learn Circuits? Copy Suppression: Comprehensively Understanding an Attention Head

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.469477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.469477Z digest=sha256:5513a24bbbf8b8ff37eec3e9c17c953abf64e7b3bf1e9b925c607bc418dd0fad

Observation 109ee3f0-6825-4255-ab04-97f4660f98ee · outbound

This paper cites Blelloch.

Can Graph Learning Learn Circuits? Blelloch

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.474409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.474409Z digest=sha256:b58f5ac487c769ced1c8a4993bec0c2b38ace891528d68c98ae7f248e51e1f57

Observation b9184a4c-229a-4c71-9d13-5da7f9107be8 · outbound

This paper cites Interpreting Graph Neural Net- works for NLP With Differentiable Edge Masking.

Can Graph Learning Learn Circuits? Interpreting Graph Neural Net- works for NLP With Differentiable Edge Masking

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.228409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.506982Z digest=sha256:08d61ccf1a0536b49205770827e0ee4762ccdc02002cfc2e9ebe45a6f9c26f0e

Observation 87acb156-e90b-4ca9-83b0-defcab465eba · outbound

This paper cites Generative Causal Explanations for Graph Neural Networks.

Can Graph Learning Learn Circuits? Generative Causal Explanations for Graph Neural Networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.214979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.512282Z digest=sha256:44288554b6705b033924881d1adc988059d5749ef02e709f2c1131a1055369d5

Observation 9a9e62c2-771e-4207-af9e-1500d9c8b42c · outbound

This paper cites GFT: Graph Foundation Model with Transferable Tree V ocabulary.

Can Graph Learning Learn Circuits? GFT: Graph Foundation Model with Transferable Tree V ocabulary

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.516621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.516621Z digest=sha256:b244c6a2706c0a57f63007b4c4d3bb57c9b6a812de1c3a35039a7ea9bff0dbe2

Observation f17e353f-45ed-4829-8aeb-c9276433f9fb · outbound

This paper cites Equivariance Every- where All At Once: A Recipe for Graph Foundation Models.

Can Graph Learning Learn Circuits? Equivariance Every- where All At Once: A Recipe for Graph Foundation Models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.201326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.521417Z digest=sha256:f62d3ef445938d62f3d368776caba893c2c4ddae7071646381f42bc994c70447

Observation e57301d1-ecc6-441c-9e34-bc605aec5809 · outbound

This paper cites GNNExplainer: Generating Explanations for Graph Neural Networks.

Can Graph Learning Learn Circuits? GNNExplainer: Generating Explanations for Graph Neural Networks

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.255857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.497397Z digest=sha256:78eda8efaf4f24252043ebf7c6204b3a81cd1944b29eb59a1051c433333a8c1c

Observation 29962009-3f34-40cf-91b2-5cd8fac2c98a · outbound

This paper cites On Explainability of Graph Neural Networks via Subgraph Explorations.

Can Graph Learning Learn Circuits? On Explainability of Graph Neural Networks via Subgraph Explorations

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.242032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.502000Z digest=sha256:76e96114e9c0b66ca98206e916de899974d60271b5a6a7d5f6bed265832dd9c1

Observation 8996ee82-7d0e-462f-a6d7-b04bea80531d · outbound

This paper cites Discovering Interpretable Algorithms by Decompiling Transformers to RASP.

Can Graph Learning Learn Circuits? Discovering Interpretable Algorithms by Decompiling Transformers to RASP

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:37:21.689828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.537266Z digest=sha256:c7d4822a654e77d8400e455290c4a063b6d92c6fe645014a98ee7b4a8d181387

Observation 51e2d7cb-f04b-42bf-b9ef-77e552f62c20 · outbound

This paper cites Compact Proofs of Model Performance via Mechanistic Interpretability.

Can Graph Learning Learn Circuits? Compact Proofs of Model Performance via Mechanistic Interpretability

Reference 60

Resolution
malformed identifier
raw_fallback, observed 2026-08-14T04:37:22.158788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.542991Z digest=sha256:f58932a37e8f3dbc177aa21ab186b809f8fae966f7fd1d27dd4188f75a0f4828

Observation 6017a1e1-0428-4818-b4eb-57dd043107f3 · outbound

This paper cites reads” information from the residual stream through a projection W ∗ I , and (ii) “writes.

Can Graph Learning Learn Circuits? reads” information from the residual stream through a projection W ∗ I , and (ii) “writes

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.144982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.547389Z digest=sha256:961330eb114368f2fb8f71419eee73f9ed4021280425e4f112ec5009a529490e

Observation 8b7845c2-7e0e-4ce6-9980-286577d1c9a2 · outbound

This paper cites Learning Transformer Programs.

Can Graph Learning Learn Circuits? Learning Transformer Programs

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.187298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.526329Z digest=sha256:f6c73c6e0af7e4f70f14f9a3185da10aa7db573956259d98f2509f1e7a3b482e

Observation de6d056a-8927-4d74-bc8f-1e79916202cc · outbound

This paper cites Neural Decompiling of Tracr Transformers.

Can Graph Learning Learn Circuits? Neural Decompiling of Tracr Transformers

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.173468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.532397Z digest=sha256:34676dae11d46876b41c929f0c6d643324d4690cabb9c01689fa02ee6712e83c

Observation 87a54a9a-c4f3-4475-af35-9aaecaa7f131 · outbound

This paper cites an unresolved cited work.

Can Graph Learning Learn Circuits? Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:37:22.130721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.553310Z digest=sha256:c251f38f364f518171f262110ae91ebb6e7f4dc5a2ab36eeb0d0146ef0d7b4fb

Observation c5345fb4-234f-4f31-a415-2e19164ea331 · outbound

This paper cites 17 Can Graph Learning Learn Circuits?.

Can Graph Learning Learn Circuits? 17 Can Graph Learning Learn Circuits?

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.116970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.557883Z digest=sha256:49b3744a176587c54e8569296b313bb180bfee63fdd62aae04253e43c45e586a

Observation f2b127a1-887f-43f1-996a-c8313292f1c5 · outbound

This paper cites median [Q1–Q3].

Can Graph Learning Learn Circuits? median [Q1–Q3]

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.103437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.562254Z digest=sha256:7158e3c0b6605a677445eb62c11315fe6937385241800fd5e4b4a37112c732cd

Observation ecb1f414-d199-4220-9431-b20550ee1513 · outbound

This paper cites an unresolved cited work.

Can Graph Learning Learn Circuits? Unresolved cited work

Reference 2017

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:37:22.576912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.341610Z digest=sha256:f1167cee5ac644063de8f0b8d0b628af89630e024513e6a116267e759f4b5fd3

Observation 3a95af57-488f-4b82-b75b-17e099157177 · outbound

This paper cites 2, 3, 16, 17, 24, 25.

Can Graph Learning Learn Circuits? 2, 3, 16, 17, 24, 25

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:22.651583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:37:21.301847Z digest=sha256:3c0cd851d63f95e22e37c619f272e7232993baa9db5d98208d6e0a290864b7af

Observation 9296fecf-42ff-475a-b277-b7b8821dd80f · outbound

This paper cites doi: 10.18653/v1/2021.naacl-main.74.

Can Graph Learning Learn Circuits? doi: 10.18653/v1/2021.naacl-main.74

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.266891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.266891Z digest=sha256:69afce380eeeb93f8c20af1722e328bf0fbac9eb746582b733feaf42b5dd4503

Observation 83d18bfd-814e-4c86-a978-ce6330548b63 · outbound

This paper cites doi: 10.18653/v1/2024.blackboxnlp-1.25.

Can Graph Learning Learn Circuits? doi: 10.18653/v1/2024.blackboxnlp-1.25

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.240962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.240962Z digest=sha256:fc715ff3947bc64c84f148b7f1b97ae59793651ed14034b1930aa71a7e4234eb

Pith citing papers

No inbound Pith citation observations are available.