Paper Citation Record · LEDGER

Grokking vs. Learning: Same Features, Different Encodings

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2502.01739.

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

pith.paper-citation-record.v1
2502.01739 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:44:27.141734Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

52 of 52 outbound references displayed

verified exact8
verified fuzzy10
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58276907-54ac-4d82-8922-725f392e5fea · outbound

This paper cites write newline.

Grokking vs. Learning: Same Features, Different Encodings write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:26.970609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a43bb7e-da09-47de-8160-e23d72ea698d · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Grokking vs. Learning: Same Features, Different Encodings Understanding intermediate layers using linear classifier probes

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:26.975066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a228ea-f02c-41d4-88f7-410703f98032 · outbound

This paper cites Information geometry and its applications, volume 194.

Grokking vs. Learning: Same Features, Different Encodings Information geometry and its applications, volume 194

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:26.979171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e45b44-d810-414a-8aea-720797bd79c2 · outbound

This paper cites Fisher information and natural gradient learning in random deep networks.

Grokking vs. Learning: Same Features, Different Encodings Fisher information and natural gradient learning in random deep networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.275886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19eded2b-141c-4da1-9f71-afa464d8866a · outbound

This paper cites an unresolved cited work.

Grokking vs. Learning: Same Features, Different Encodings Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:44:38.266966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08002a17-7247-43e2-8a57-80cb7d5c69f9 · outbound

This paper cites Berman and Marc S.

Grokking vs. Learning: Same Features, Different Encodings Berman and Marc S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:26.989543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0020a1c-b885-4920-8781-29c367367949 · outbound

This paper cites Berman, Jonathan J.

Grokking vs. Learning: Same Features, Different Encodings Berman, Jonathan J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.257923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad9024f6-308d-4aaa-8354-bef223040e1b · outbound

This paper cites Berman, Marc S.

Grokking vs. Learning: Same Features, Different Encodings Berman, Marc S

Reference 8

Resolution: verified exact; doi, observed 2026-08-09T14:44:37.960635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 743f3968-be90-4dba-b9e2-0db2c2f8b851 · outbound

This paper cites Berman, Marc S.

Grokking vs. Learning: Same Features, Different Encodings Berman, Marc S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.249141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 607f8c3c-7574-4d58-8ce2-2b8a5fc89245 · outbound

This paper cites Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process.

Grokking vs. Learning: Same Features, Different Encodings Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:44:38.159790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8c31a6f-90d8-48f6-a381-02565baab2f7 · outbound

This paper cites Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition.

Grokking vs. Learning: Same Features, Different Encodings Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.006690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4d4d3ee-e2bf-4e73-a5c8-43de26b3d9a0 · outbound

This paper cites A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations.

Grokking vs. Learning: Same Features, Different Encodings A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.010340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bfb5cfe-7e14-4285-b099-106506d729dd · outbound

This paper cites The Complexity Dynamics of Grokking.

Grokking vs. Learning: Same Features, Different Encodings The Complexity Dynamics of Grokking

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.013833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33e0f3b-5499-4ec3-bd8a-4fa7d8b67996 · outbound

This paper cites To grok or not to grok: Disentangling generalization and memorization on corrupted algorithmic datasets.

Grokking vs. Learning: Same Features, Different Encodings To grok or not to grok: Disentangling generalization and memorization on corrupted algorithmic datasets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.017503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b05ae53-d8ab-47b8-afb0-dfc9675c25bc · outbound

This paper cites Toy models of superposition.

Grokking vs. Learning: Same Features, Different Encodings Toy models of superposition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.020918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8c77e5-fe0f-4266-8e02-25ba5d3f3d22 · outbound

This paper cites Deep Grokking: Would Deep Neural Networks Generalize Better?.

Grokking vs. Learning: Same Features, Different Encodings Deep Grokking: Would Deep Neural Networks Generalize Better?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.023924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 369ad4a6-f5b9-47aa-93e0-e46caaa9dcf8 · outbound

This paper cites NNGeometry: Easy and Fast Fisher Information Matrices and Neural Tangent Kernels in PyTorch , February 2021.

Grokking vs. Learning: Same Features, Different Encodings NNGeometry: Easy and Fast Fisher Information Matrices and Neural Tangent Kernels in PyTorch , February 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.027239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5d0d404-3bfe-46db-9256-fea828bc8a85 · outbound

This paper cites an unresolved cited work.

Grokking vs. Learning: Same Features, Different Encodings Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.030299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09a00390-5367-4204-9444-7c8ea7fa402c · outbound

This paper cites A simple and interpretable model of grokking modular arithmetic tasks, 2024.

Grokking vs. Learning: Same Features, Different Encodings A simple and interpretable model of grokking modular arithmetic tasks, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.235519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1843eddf-e8a3-4f10-b0b8-618978f5547e · outbound

This paper cites Loss Landscape Degeneracy and Stagewise Development in Transformers.

Grokking vs. Learning: Same Features, Different Encodings Loss Landscape Degeneracy and Stagewise Development in Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.036736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e19a7c-f3a2-4736-9de4-7fd8834b44bd · outbound

This paper cites Bayesian RG Flow in Neural Network Field Theories.

Grokking vs. Learning: Same Features, Different Encodings Bayesian RG Flow in Neural Network Field Theories

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.040034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 873877f2-38bc-4544-a6a2-1c6e930c3aad · outbound

This paper cites an unresolved cited work.

Grokking vs. Learning: Same Features, Different Encodings Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.043095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05c1eb62-aff8-4045-afd3-fc7f1021728d · outbound

This paper cites FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information.

Grokking vs. Learning: Same Features, Different Encodings FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.046167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c93a662c-a4ad-4b88-b089-80340c6a35b0 · outbound

This paper cites Deep Networks Always Grok and Here is Why.

Grokking vs. Learning: Same Features, Different Encodings Deep Networks Always Grok and Here is Why

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.049435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2290a975-112a-4272-a7b3-ca401e1f60a0 · outbound

This paper cites Beitrag zur theorie des ferromagnetismus.

Grokking vs. Learning: Same Features, Different Encodings Beitrag zur theorie des ferromagnetismus

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.052688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6766937-96a8-4ba6-a0ee-437db336199e · outbound

This paper cites Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond.

Grokking vs. Learning: Same Features, Different Encodings Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.055649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469a567e-7f64-4951-953d-eaf277dc4d8f · outbound

This paper cites Apocrita - High Performance Computing Cluster for Queen Mary University of London , March 2017.

Grokking vs. Learning: Same Features, Different Encodings Apocrita - High Performance Computing Cluster for Queen Mary University of London , March 2017

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.058883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1950e5e-8b70-4d03-9e15-4c57ea847f9a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Grokking vs. Learning: Same Features, Different Encodings Adam: A Method for Stochastic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.062041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9511697f-c95d-4768-a216-4fd6280c0793 · outbound

This paper cites an unresolved cited work.

Grokking vs. Learning: Same Features, Different Encodings Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-09T14:44:37.909886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43526eb7-0913-4293-8062-0344fda061a5 · outbound

This paper cites Gershman, and Cengiz Pehlevan.

Grokking vs. Learning: Same Features, Different Encodings Gershman, and Cengiz Pehlevan

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.226695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 243ebaf4-4c02-40ba-bba9-9946db9c1f80 · outbound

This paper cites The Local Learning Coefficient: A Singularity-Aware Complexity Measure.

Grokking vs. Learning: Same Features, Different Encodings The Local Learning Coefficient: A Singularity-Aware Complexity Measure

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.071552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbbe5450-7889-44d0-8e34-6a2a7cba7940 · outbound

This paper cites Optimal brain damage.

Grokking vs. Learning: Same Features, Different Encodings Optimal brain damage

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.074759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3443fd2e-64da-407d-b400-0fb9ed04c6cf · outbound

This paper cites On the training dynamics of deep networks with $L_2$ regularization.

Grokking vs. Learning: Same Features, Different Encodings On the training dynamics of deep networks with $L_2$ regularization

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:44:38.072110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5322ec0c-4efa-43f8-ac0e-25b3ffbb9966 · outbound

This paper cites Michaud, Max Tegmark, and Mike Williams.

Grokking vs. Learning: Same Features, Different Encodings Michaud, Max Tegmark, and Mike Williams

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.212602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a39a6110-66e6-47ed-9cf8-2596c59c720f · outbound

This paper cites Towards understanding grokking: An effective theory of representation learning, 2022 b.

Grokking vs. Learning: Same Features, Different Encodings Towards understanding grokking: An effective theory of representation learning, 2022 b

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.203887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db956a8d-84dc-4274-88ff-b574128ec9e4 · outbound

This paper cites Michaud, and Max Tegmark.

Grokking vs. Learning: Same Features, Different Encodings Michaud, and Max Tegmark

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.195081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c20f2aa5-09a8-446d-b681-08a86fce7c8d · outbound

This paper cites Grokking as Compression: A Nonlinear Complexity Perspective.

Grokking vs. Learning: Same Features, Different Encodings Grokking as Compression: A Nonlinear Complexity Perspective

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.090670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e0d3e3-c860-493b-ad00-52b0259d172d · outbound

This paper cites Deep neural networks compression: A comparative survey and choice recommendations.

Grokking vs. Learning: Same Features, Different Encodings Deep neural networks compression: A comparative survey and choice recommendations

Reference 38

Resolution: verified exact; doi, observed 2026-08-09T14:44:27.185150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98cc9c60-e459-4496-a36b-24e68557aacb · outbound

This paper cites Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks.

Grokking vs. Learning: Same Features, Different Encodings Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:44:38.052275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ed5b963-d3ac-4c86-ba36-fcafb1582e84 · outbound

This paper cites Why Do You Grok? A Theoretical Analysis of Grokking Modular Addition.

Grokking vs. Learning: Same Features, Different Encodings Why Do You Grok? A Theoretical Analysis of Grokking Modular Addition

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.100863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f81046a7-76f7-4619-9f22-e53312cff507 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability, 2023.

Grokking vs. Learning: Same Features, Different Encodings Progress measures for grokking via mechanistic interpretability, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.186498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ad329a5-473d-4d5c-9d31-f05d5f9f0d41 · outbound

This paper cites devinterp, 2024.

Grokking vs. Learning: Same Features, Different Encodings devinterp, 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:44:38.177367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 707cbd67-9815-4b90-bb3c-c4af0e781971 · outbound

This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.

Grokking vs. Learning: Same Features, Different Encodings Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.110186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aefc6f6-17cf-4bfa-8780-c4642a1e5f15 · outbound

This paper cites Grokking at the Edge of Numerical Stability.

Grokking vs. Learning: Same Features, Different Encodings Grokking at the Edge of Numerical Stability

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.113342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ad621b7-7223-469f-bd7f-6586de3793a4 · outbound

This paper cites Grokking as a First Order Phase Transition in Two Layer Networks.

Grokking vs. Learning: Same Features, Different Encodings Grokking as a First Order Phase Transition in Two Layer Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.116581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa8093d-855e-4c05-9440-9ef54380b552 · outbound

This paper cites Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs.

Grokking vs. Learning: Same Features, Different Encodings Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.119703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 384292c4-68fe-472b-b3b0-0b37da5419d1 · outbound

This paper cites Parameter diagnostics of phases and phase transition learning by neural networks.

Grokking vs. Learning: Same Features, Different Encodings Parameter diagnostics of phases and phase transition learning by neural networks

Reference 48

Resolution: verified exact; doi, observed 2026-08-09T14:44:27.175424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee86bfc9-d528-42ac-8681-a754c1b7d4c3 · outbound

This paper cites Understanding Grokking Through A Robustness Viewpoint.

Grokking vs. Learning: Same Features, Different Encodings Understanding Grokking Through A Robustness Viewpoint

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.129043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3313acc1-aee0-40b2-afe4-f0009fa5529a · outbound

This paper cites Rethinking weight decay for efficient neural network pruning.

Grokking vs. Learning: Same Features, Different Encodings Rethinking weight decay for efficient neural network pruning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.132195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd48eb36-bbad-44a5-91da-b6bf244dc858 · outbound

This paper cites The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon.

Grokking vs. Learning: Same Features, Different Encodings The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.135407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627d8cf2-7e78-4a44-a8eb-7d81dff4e459 · outbound

This paper cites Explaining grokking through circuit efficiency.

Grokking vs. Learning: Same Features, Different Encodings Explaining grokking through circuit efficiency

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.138533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30f3e340-f2b9-467b-b6d6-6542c7deccb4 · outbound

This paper cites BMRS: Bayesian Model Reduction for Structured Pruning.

Grokking vs. Learning: Same Features, Different Encodings BMRS: Bayesian Model Reduction for Structured Pruning

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:44:37.978524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.