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Paper Citation Record · LEDGER

Physics of Skill Learning

As of 11 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 6 inbound Pith citation observations for arXiv:2501.12391.

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

pith.paper-citation-record.v1
2501.12391 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:20:51.167524Z

measured 66 of 66 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:07:46.155112Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:20:00.854998Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact3
  • verified fuzzy17
  • unresolved40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8449aa35-5af4-4d33-ba82-26a25eff1f54 · outbound

This paper cites A Theory for Emergence of Complex Skills in Language Models.

Physics of Skill Learning A Theory for Emergence of Complex Skills in Language Models

Reference 1

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Observation 5162b022-4043-41f4-9a94-9b83a8958c2b · outbound

This paper cites Skill-it! a data-driven skills framework for understanding and training language models.

Physics of Skill Learning Skill-it! a data-driven skills framework for understanding and training language models

Reference 2

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

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Observation a686877a-3218-4acf-af43-ebabde2e17ae · outbound

This paper cites The quantization model of neural scaling.

Physics of Skill Learning The quantization model of neural scaling

Reference 3

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Observation 7781202b-4836-4024-adc5-19238ee00855 · outbound

This paper cites Emergent Abilities of Large Language Models.

Physics of Skill Learning Emergent Abilities of Large Language Models

Reference 4

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source=pdf_text observed=2026-08-10T17:20:50.961452Z digest=sha256:e1a7f401e6a428e469821dc22ccc5602512ba2adde7ef0e4e2db3cb77a448fec

Observation 8f1974e6-c2db-4d7b-9bdf-c01f222c4c8d · outbound

This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.

Physics of Skill Learning Task arithmetic in the tangent space: Improved editing of pre-trained models

Reference 5

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

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Observation 24c54788-96c9-4d25-b950-3b7a9f468323 · outbound

This paper cites Editing Models with Task Arithmetic.

Physics of Skill Learning Editing Models with Task Arithmetic

Reference 6

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Observation 52e6582f-d0e6-4ca2-a7f0-cdcc6a4a631d · outbound

This paper cites Function Vectors in Large Language Models.

Physics of Skill Learning Function Vectors in Large Language Models

Reference 7

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Observation 534124d3-9d59-47f3-8939-c542d5ed1df4 · outbound

This paper cites Scaling Laws for Neural Language Models.

Physics of Skill Learning Scaling Laws for Neural Language Models

Reference 8

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Observation 079087bd-ddf6-49b7-ad75-d2cc3927c3e0 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Physics of Skill Learning Training Compute-Optimal Large Language Models

Reference 9

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Observation c63a44d2-e7a8-4a39-a917-635caeaf1f3a · outbound

This paper cites Chinchilla Scaling: A replication attempt.

Physics of Skill Learning Chinchilla Scaling: A replication attempt

Reference 10

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Observation fb634936-7d0b-40c8-baf5-73b6d11fc557 · outbound

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

Physics of Skill Learning Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 11

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Observation c9a1796a-0bea-499e-8e78-c7ad860a5102 · outbound

This paper cites Focal Loss for Dense Object Detection.

Physics of Skill Learning Focal Loss for Dense Object Detection

Reference 12

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Observation 188116ab-547b-4111-881a-7480b490b8b2 · outbound

This paper cites Rho-1: Not All Tokens Are What You Need.

Physics of Skill Learning Rho-1: Not All Tokens Are What You Need

Reference 13

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Observation 526333a0-66ed-4c01-aee9-60e0aede2318 · outbound

This paper cites Symbolic discovery of optimization algorithms.

Physics of Skill Learning Symbolic discovery of optimization algorithms

Reference 14

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Observation 715b2e31-a319-421f-a2ef-0b6d17ceee2d · outbound

This paper cites The AdEMAMix Optimizer: Better, Faster, Older.

Physics of Skill Learning The AdEMAMix Optimizer: Better, Faster, Older

Reference 15

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Observation f13b28c7-d635-4820-bafe-ead489f3cdae · outbound

This paper cites Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training.

Physics of Skill Learning Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

Reference 16

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Observation 123251a3-0e1b-4b3a-bfe8-dab2951e645b · outbound

This paper cites SOAP: Improving and Stabilizing Shampoo using Adam.

Physics of Skill Learning SOAP: Improving and Stabilizing Shampoo using Adam

Reference 17

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Observation 82111d87-d0d8-4a25-a1e8-c4c8250ce563 · outbound

This paper cites MARS: Unleashing the Power of Variance Reduction for Training Large Models.

Physics of Skill Learning MARS: Unleashing the Power of Variance Reduction for Training Large Models

Reference 18

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Observation eeef1cfb-ad28-4f20-9eb0-92c448ec49a4 · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

Physics of Skill Learning Muon: An optimizer for hidden layers in neural networks, 2024

Reference 19

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

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Observation b8761673-4955-4fcf-9b30-a7e11f994727 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Physics of Skill Learning Adam: A Method for Stochastic Optimization

Reference 20

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Observation 74e70fe4-7ace-4f46-b866-0c082a90292d · outbound

This paper cites Failures of gradient-based deep learning.

Physics of Skill Learning Failures of gradient-based deep learning

Reference 21

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

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Observation afe143f9-d251-451e-bd7e-be3c4ff5e0cc · outbound

This paper cites Modular Deep Learning.

Physics of Skill Learning Modular Deep Learning

Reference 22

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Observation 9103c227-8bc0-45aa-8df1-e4783ce8da3b · outbound

This paper cites Neural module networks.

Physics of Skill Learning Neural module networks

Reference 23

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Observation 04ca40ae-4a2a-4a0e-825f-53dedc43e3b2 · outbound

This paper cites Modular meta-learning.

Physics of Skill Learning Modular meta-learning

Reference 24

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

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Observation 30be3189-2677-422a-94cc-969e2e05dde8 · outbound

This paper cites Mixture of experts: a literature survey.

Physics of Skill Learning Mixture of experts: a literature survey

Reference 25

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Observation d28de113-88e6-4064-8f15-6127ae26de57 · outbound

This paper cites A survey on mixture of experts.

Physics of Skill Learning A survey on mixture of experts

Reference 26

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Observation 827738cc-4638-4101-941d-79701dcd89aa · outbound

This paper cites Gradient Routing: Masking Gradients to Localize Computation in Neural Networks.

Physics of Skill Learning Gradient Routing: Masking Gradients to Localize Computation in Neural Networks

Reference 27

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Observation 3f4446d7-2df6-4dad-81f9-a613196d7950 · outbound

This paper cites Foundations of machine learning, 2018.

Physics of Skill Learning Foundations of machine learning, 2018

Reference 28

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Observation e0206aea-58b7-48bb-8cf3-68987e7dc930 · outbound

This paper cites Statistical mechanics of learning.

Physics of Skill Learning Statistical mechanics of learning

Reference 29

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Observation 9f2a8f23-971a-44ee-b9e9-c9707d44ce10 · outbound

This paper cites Statistical mechanics of deep learning.

Physics of Skill Learning Statistical mechanics of deep learning

Reference 30

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Observation 7a211324-44d8-413a-885f-50d607376a38 · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Physics of Skill Learning Neural tangent kernel: Convergence and generalization in neural networks

Reference 31

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Observation 5b632fc0-f2f7-4b60-85d1-a4835902af9f · outbound

This paper cites Almost all learning machines are singular.

Physics of Skill Learning Almost all learning machines are singular

Reference 32

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Observation 5569ee65-5f7e-4025-9282-302b257d3f79 · outbound

This paper cites Deep learning is singular, and that’s good.IEEE Transactions on Neural Networks and Learning Systems, 34(12):10473–10486, 2022.

Physics of Skill Learning Deep learning is singular, and that’s good.IEEE Transactions on Neural Networks and Learning Systems, 34(12):10473–10486, 2022

Reference 33

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Observation 5b206b7b-abc6-41e0-a610-8b0640c8be0e · outbound

This paper cites Towards the Dynamics of a DNN Learning Symbolic Interactions.

Physics of Skill Learning Towards the Dynamics of a DNN Learning Symbolic Interactions

Reference 34

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Observation 8770370f-bdfc-4519-9c1a-679071edbf46 · outbound

This paper cites In-Context Learning Creates Task Vectors.

Physics of Skill Learning In-Context Learning Creates Task Vectors

Reference 35

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Observation a22aa8fe-9eff-41d4-a5cb-92f91efd989e · outbound

This paper cites Task vectors in in-context learning: Emergence, formation, and benefit, 2025.

Physics of Skill Learning Task vectors in in-context learning: Emergence, formation, and benefit, 2025

Reference 36

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

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Observation 08381879-a905-4798-8f22-6f1132b13b2e · outbound

This paper cites In-context Learning and Induction Heads.

Physics of Skill Learning In-context Learning and Induction Heads

Reference 37

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Observation d9c955d9-7745-4475-a51d-d9f4e9604090 · outbound

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

Physics of Skill Learning Towards understanding grokking: An effective theory of representation learning

Reference 38

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Observation 4ab2533b-6740-4f86-a689-6839cf30b98a · outbound

This paper cites Omnigrok: Grokking beyond algorithmic data.

Physics of Skill Learning Omnigrok: Grokking beyond algorithmic data

Reference 39

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raw_fallback, observed 2026-08-10T17:20:51.617395Z

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

source=pdf_text observed=2026-08-10T17:20:51.095940Z digest=sha256:09da72911527fe2dfe40004ff9c9f92c9b43a44d10f2dd0e150ac6ed3d587de2

Observation 70e392f4-ce55-4ef8-bd3a-2cc8784756a0 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Physics of Skill Learning Progress measures for grokking via mechanistic interpretability

Reference 40

Resolution
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no resolver link, observed 2026-08-10T17:20:51.099359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.099359Z digest=sha256:d1c02f8f527800c257b903d1144515a0a8304681af4d2907af698f3649af9571

Observation 2c011231-c9c8-4906-b04d-4fbf44d53da0 · outbound

This paper cites Sgd learning on neural net- works: leap complexity and saddle-to-saddle dynamics.

Physics of Skill Learning Sgd learning on neural net- works: leap complexity and saddle-to-saddle dynamics

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:20:51.607181Z

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.

source=pdf_text observed=2026-08-10T17:20:51.102988Z digest=sha256:761cde2dc8f942a8c260f53edb5cfdd5a2d66a4afffe00d9b8ae6a2e4457209a

Observation 84b82829-5f7d-4789-b9d2-76ebc08ea939 · outbound

This paper cites The clock and the pizza: Two stories in mechanistic explanation of neural networks.

Physics of Skill Learning The clock and the pizza: Two stories in mechanistic explanation of neural networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:20:51.596780Z

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.

source=pdf_text observed=2026-08-10T17:20:51.106269Z digest=sha256:8056c9d38e4cf57e8eb3ba203c46a7bded09e6f136e8a09101c09d3e61940e16

Observation a2763031-f196-471e-9fe6-5dfbe87fa238 · outbound

This paper cites A phase transition between positional and semantic learning in a solvable model of dot-product attention.

Physics of Skill Learning A phase transition between positional and semantic learning in a solvable model of dot-product attention

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:20:51.365522Z

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.

source=pdf_text observed=2026-08-10T17:20:51.109713Z digest=sha256:16909f4de924d6e1d59eb61abaccb8c8b00c2dcf6301f45f9789d3d6d20064ba

Observation 6eef25a9-ada5-49ea-9896-f2bef3066bf8 · outbound

This paper cites GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory.

Physics of Skill Learning GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:20:51.351936Z

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.

source=pdf_text observed=2026-08-10T17:20:51.113148Z digest=sha256:f84ad56fc89c517bcbd33b51dada1421d417f6402c8e66442e1df35c296c1c48

Observation d3074974-1f4b-4763-9182-4afb3fbe25b2 · outbound

This paper cites On the impact of the activation function on deep neural networks training.

Physics of Skill Learning On the impact of the activation function on deep neural networks training

Reference 45

Resolution
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no resolver link, observed 2026-08-10T17:20:51.116376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.116376Z digest=sha256:7e4188bd82fecde31290350c762141163f1a15b7d5a49c193866fa6f4f24a1cf

Observation c39b7c73-b8f1-450f-82f0-8170a3ab1007 · outbound

This paper cites Feature Learning in Infinite-Width Neural Networks.

Physics of Skill Learning Feature Learning in Infinite-Width Neural Networks

Reference 46

Resolution
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no resolver link, observed 2026-08-10T17:20:51.119602Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.119602Z digest=sha256:2960cc88f6731108b5f1bb1b1e16d7533ce6d261a3b070eee53dc0cfbe963f05

Observation e7476996-f2e1-4adc-aadb-e8d316bfbbfe · outbound

This paper cites Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36, 2024.

Physics of Skill Learning Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:20:51.580799Z

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.

source=pdf_text observed=2026-08-10T17:20:51.122789Z digest=sha256:ca8add6ba109dedd3d541d9484d06b8365c52cfb4a5a4100e978c8e70ab0aebf

Observation f16b1678-4431-4148-b383-ec80fc2d9635 · outbound

This paper cites A Neural Scaling Law from the Dimension of the Data Manifold.

Physics of Skill Learning A Neural Scaling Law from the Dimension of the Data Manifold

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T17:20:51.125775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.125775Z digest=sha256:c3c1dfdb7da242be53781474ac1772bcef7b8ddddd69a42e0dd8ee3b6ce9193e

Observation aff2047b-01e8-4568-9f57-b953e61e9bfa · outbound

This paper cites A Resource Model For Neural Scaling Law.

Physics of Skill Learning A Resource Model For Neural Scaling Law

Reference 49

Resolution
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no resolver link, observed 2026-08-10T17:20:51.129278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.129278Z digest=sha256:6773335634d5adb6ea10365a065f4b387bc6c64538950d653111b90fdb610b48

Observation 80923d14-65d0-4917-9c1f-cf8f6e5e512f · outbound

This paper cites Explaining neural scaling laws.

Physics of Skill Learning Explaining neural scaling laws

Reference 50

Resolution
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no resolver link, observed 2026-08-10T17:20:51.132457Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T17:20:51.132457Z digest=sha256:85092d74036e2f78b68241998ef28ac70a7b2f742d48cbae81975c9e2369140a

Observation 7949c896-d677-4046-9656-48ce083b9489 · outbound

This paper cites A Solvable Model of Neural Scaling Laws.

Physics of Skill Learning A Solvable Model of Neural Scaling Laws

Reference 51

Resolution
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no resolver link, observed 2026-08-10T17:20:51.135804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.135804Z digest=sha256:84e25db2d16bb4a9b3321f35a06a3de9d4b48b8ce77f11c44c9e879787566c86

Observation 74349365-87b6-4e3c-8f2b-4968db025671 · outbound

This paper cites A Dynamical Model of Neural Scaling Laws.

Physics of Skill Learning A Dynamical Model of Neural Scaling Laws

Reference 52

Resolution
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no resolver link, observed 2026-08-10T17:20:51.139060Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.139060Z digest=sha256:468efea8b42c0bed45e872861fc38e78c11f0aaaf2f5f435f103b3e6f99e2e13

Observation b858fa06-f2e7-4957-b774-d9b4a2b85ba2 · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.Advances in Neural Information Processing Systems, 35:19523–19536, 2022.

Physics of Skill Learning Beyond neural scaling laws: beating power law scaling via data pruning.Advances in Neural Information Processing Systems, 35:19523–19536, 2022

Reference 53

Resolution
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no resolver link, observed 2026-08-10T17:20:51.142366Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.142366Z digest=sha256:7a38eceb9b1e6bdf011c54e7593933169e6661bbc5aa46b7e40e125bbd23ab27

Observation ecc4b37d-9e6e-46b9-a423-219037f69ad8 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Physics of Skill Learning KAN: Kolmogorov-Arnold Networks

Reference 54

Resolution
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no resolver link, observed 2026-08-10T17:20:51.145735Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.145735Z digest=sha256:7b532fc2cd7fd19a2d0a0a21aad152cd7df66c28060ee2f8a9f9a014706a99d1

Observation cd3532dc-a1fb-47bf-aecd-b8d0061ee2de · outbound

This paper cites Glam: Efficient scaling of language models with mixture-of-experts.

Physics of Skill Learning Glam: Efficient scaling of language models with mixture-of-experts

Reference 55

Resolution
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no resolver link, observed 2026-08-10T17:20:51.149105Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.149105Z digest=sha256:0c299f8da9d5995a9a5946033dea7d70bf01f8134b3775b5709f3020bf923e5d

Observation f6542a55-fcf3-4cce-bdf9-05369c1ece25 · outbound

This paper cites Scaling Laws for Precision.

Physics of Skill Learning Scaling Laws for Precision

Reference 56

Resolution
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no resolver link, observed 2026-08-10T17:20:51.152418Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.152418Z digest=sha256:2a03bed093c19583b99c6b33c45d1b729e3c572626f2866a346f2de0260e9b9e

Observation 60c7d7be-2e56-4d08-a2b4-38c32e4a9efb · outbound

This paper cites Scaling Laws for Sparsely-Connected Foundation Models.

Physics of Skill Learning Scaling Laws for Sparsely-Connected Foundation Models

Reference 57

Resolution
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no resolver link, observed 2026-08-10T17:20:51.156794Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.156794Z digest=sha256:54cd99e29daa31a2a591d774df01cb0695ff4ff47d621f225fdddfad0b28b43a

Observation 62914c19-bc4c-4a7b-a99f-b778b971c6c1 · outbound

This paper cites Cautious optimizers: Improving training with one line of code.

Physics of Skill Learning Cautious optimizers: Improving training with one line of code

Reference 58

Resolution
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no resolver link, observed 2026-08-10T17:20:51.160378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.160378Z digest=sha256:9ccb5775444786f8a291965f78f0a417b34b415c0204a4c555d2c1fe17d978de

Observation d529e7d6-f487-42fc-9492-137edad10981 · outbound

This paper cites Scalable Optimization in the Modular Norm.

Physics of Skill Learning Scalable Optimization in the Modular Norm

Reference 59

Resolution
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no resolver link, observed 2026-08-10T17:20:51.163954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:20:51.163954Z digest=sha256:3b777f128f2c9aecc6701336a27a17a852eb244245527647f2781e51f90e0269

Observation 82bfe036-232e-4ace-958f-b53cb978950a · outbound

This paper cites Shampoo: Preconditioned stochastic tensor optimization.

Physics of Skill Learning Shampoo: Preconditioned stochastic tensor optimization

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:20:51.553972Z

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.

source=pdf_text observed=2026-08-10T17:20:51.167524Z digest=sha256:eb868d774eb7e6c847ae7881ac5062ec31692da3aefe0fcf2820c52dfbf764f4

Pith citing papers

Observation 45154810-94fb-432a-942c-1f4fafdcb089 · inbound

Superposition Yields Robust Neural Scaling cites this paper.

Superposition Yields Robust Neural Scaling Physics of Skill Learning

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:36:25.569357Z

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.

source=pdf_text observed=2026-05-22T14:38:44.789822Z digest=sha256:deacdf01c8e66b66751572039fd5528cc61aede48230f8d15cca1bc8ee75a370

Observation 5aef93e9-9074-45d5-a52a-30ecd854082c · inbound

Inverse Depth Scaling From Most Layers Being Similar cites this paper.

Inverse Depth Scaling From Most Layers Being Similar Physics of Skill Learning

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-03T04:07:46.155112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:07:46.155112Z digest=sha256:b646f51cfbc01fa68c3869337e296d6fa6ecdf1578cf8de613473d3899736f2b

Observation 2aeedff4-5ef4-4b1c-a253-43af41146d95 · inbound

The Power of Power Law: Asymmetry Enables Compositional Reasoning cites this paper.

The Power of Power Law: Asymmetry Enables Compositional Reasoning Physics of Skill Learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:08.306295Z

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.

source=arxiv_source observed=2026-05-08T11:49:49.787123Z digest=sha256:7e10f928aa281e02391aef99a3a5f02499e48cf68ce80bd8a34543327ee0ed43

Observation 220c6655-5707-4570-82bb-fc8d65ba711f · inbound

The Power of Power Law: Asymmetry Enables Compositional Reasoning cites this paper.

The Power of Power Law: Asymmetry Enables Compositional Reasoning Physics of Skill Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-12T18:26:05.728364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T18:26:05.728364Z digest=sha256:9a0a7554812211956e4fef6bf0a14b8f5cdee0e16ff0700651b294b46dfa517d

Observation 41b06145-f42a-4d28-8a41-f4f53c2c89a4 · inbound

Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients cites this paper.

Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients Physics of Skill Learning

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:20:00.856712Z

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.

source=pdf_text observed=2026-06-25T23:45:54.283436Z digest=sha256:87af4a00f6d2a542a98e607823cba9e237f3983c3bf9735b3a84ed2980a7364c

Observation 7e085967-9cbc-4dc1-ae07-63cd091bbb72 · inbound

AgenticDataBench: A Comprehensive Benchmark for Data Agents cites this paper.

AgenticDataBench: A Comprehensive Benchmark for Data Agents Physics of Skill Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:37:35.105081Z

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.

source=pdf_text observed=2026-07-03T03:36:00.516063Z digest=sha256:efd44b53d0b2e69c672e33f6e3cbf260e6236e87915a1231e601f54bd7009a9a