Paper Citation Record · LEDGER

Distinct Computations Emerge From Compositional Curricula in In-Context Learning

As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2506.13253.

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

pith.paper-citation-record.v1
2506.13253 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:59.909472Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T12:36:24.747752Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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verified fuzzy24
unresolved36
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External citation measurements

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Outbound references

Observation d121052c-2947-4739-b740-9f658309d30d · outbound

This paper cites Curriculum learning.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Curriculum learning

Reference 1

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Observation 27638c8e-031d-41ba-bf70-941c6f5b116b · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 2

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Observation ce46edd7-687c-4679-819d-816489ce6016 · outbound

This paper cites Data distributional properties drive emer- gent in-context learning in transformers.Advances in Neural Information Processing Systems, 35:18878–18891, 2022.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Data distributional properties drive emer- gent in-context learning in transformers.Advances in Neural Information Processing Systems, 35:18878–18891, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.431118Z

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Observation f75d3dac-b8a7-4012-9f53-4eebb98a6467 · outbound

This paper cites Derivation by phase.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Derivation by phase

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.362543Z

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Observation 1127ddef-45bb-40a5-9f83-65fc0a1bdbed · outbound

This paper cites Real-world visual statistics and infants’ first-learned object names.Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1711):20160055, 2017.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Real-world visual statistics and infants’ first-learned object names.Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1711):20160055, 2017

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.217010Z

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Observation e414221d-8b44-4654-a3a7-e5a8a8fd44ff · outbound

This paper cites Curriculum learning for human compositional generalization.Proceedings of the National Academy of Sciences, 119(41): e2205582119, 2022.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Curriculum learning for human compositional generalization.Proceedings of the National Academy of Sciences, 119(41): e2205582119, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:05.051746Z

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Observation d0907f17-5325-4bc7-bd2a-a7c3ca5da8b5 · outbound

This paper cites Faith and fate: Limits of transformers on compositionality.Advances in Neural Information Processing Systems, 36, 2024.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Faith and fate: Limits of transformers on compositionality.Advances in Neural Information Processing Systems, 36, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:53.318016Z

Source-reported events for the cited work

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Observation 189ea026-1370-4d27-9e34-1a28189d4456 · outbound

This paper cites The effects of information order and learning mode on schema abstraction.Memory & cognition, 12(1):20–30, 1984.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning The effects of information order and learning mode on schema abstraction.Memory & cognition, 12(1):20–30, 1984

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:53.391571Z

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Observation 1507ab19-6810-4402-b4de-49e0278e6ad1 · outbound

This paper cites Connectionism and cognitive architecture: A critical analysis.Cognition, 28(1-2):3–71, 1988.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Connectionism and cognitive architecture: A critical analysis.Cognition, 28(1-2):3–71, 1988

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:04.811448Z

Source-reported events for the cited work

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Observation 5931be94-9e3b-47fa-9a4f-036a11eaaa96 · outbound

This paper cites Ueber sinn und bedeutung.Philosophical Review, 57(n/a):209, 1948.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Ueber sinn und bedeutung.Philosophical Review, 57(n/a):209, 1948

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:04.649925Z

Source-reported events for the cited work

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Observation fc0dc48b-b637-4731-a3b6-a4f6ee586a18 · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:53.657306Z

Source-reported events for the cited work

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Observation 39745a64-56d9-4af9-b3fb-c26887384e68 · outbound

This paper cites Finding Neurons in a Haystack: Case Studies with Sparse Probing.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Finding Neurons in a Haystack: Case Studies with Sparse Probing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:53.737338Z

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Observation b2a761ee-e5f5-4806-b2f0-df8765cb9cde · outbound

This paper cites Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:53.841817Z

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Observation 2d6f96e8-41fb-453b-b705-190f3eccad65 · outbound

This paper cites In-Context Learning Creates Task Vectors.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning In-Context Learning Creates Task Vectors

Reference 14

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Observation fcd23cc7-35aa-46e9-bb14-8d126040254c · outbound

This paper cites Curriculum learning for motor skills.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Curriculum learning for motor skills

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:04.420231Z

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Observation 572dcd51-5212-4e14-902c-e840ea15f9c6 · outbound

This paper cites When can transformers compositionally generalize in-context?ICML Next Generation of Sequence Modeling Architectures Workshop, 2024.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning When can transformers compositionally generalize in-context?ICML Next Generation of Sequence Modeling Architectures Workshop, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:04.244173Z

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Observation b9121b18-69a8-4fe2-b664-d73b8b7dc636 · outbound

This paper cites Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:04.032622Z

Source-reported events for the cited work

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Observation e6ac778b-541e-4518-93b1-527369f54daa · outbound

This paper cites Human-like systematic generalization through a meta- learning neural network.Nature, 623(7985):115–121, 2023.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Human-like systematic generalization through a meta- learning neural network.Nature, 623(7985):115–121, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:03.832830Z

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Observation b42d0892-077c-4437-a64e-b57c9f4aa261 · outbound

This paper cites The broader spectrum of in-context learning.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning The broader spectrum of in-context learning

Reference 19

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Observation 7438cf51-f28d-46c0-b2f7-b723933e3171 · outbound

This paper cites Geometric Signatures of Compositionality Across a Language Model's Lifetime.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Geometric Signatures of Compositionality Across a Language Model's Lifetime

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:54.399235Z

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Observation e8f5e36b-8681-42f5-b407-e61ec22905aa · outbound

This paper cites Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

Reference 21

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Observation ec7b64a2-8a51-44d2-aa0d-2dbafd1ed532 · outbound

This paper cites Capturing gradience, continuous change, and quasi-regularity in sound, word, phrase, and meaning.The handbook of language emergence, pages 53–80, 2015.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Capturing gradience, continuous change, and quasi-regularity in sound, word, phrase, and meaning.The handbook of language emergence, pages 53–80, 2015

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:03.627534Z

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Observation eb338109-a587-4caa-b6fd-27f8c7aa337f · outbound

This paper cites Universal linguistic inductive biases via meta-learning.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Universal linguistic inductive biases via meta-learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:03.322757Z

Source-reported events for the cited work

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

This paper cites Circuit Component Reuse Across Tasks in Transformer Language Models.

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

Reference 24

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Observation 99e7e9eb-10c4-4320-b8da-aa3f11f09dc2 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Progress measures for grokking via mechanistic interpretability

Reference 25

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Observation a4c48831-74c0-4ab2-9716-4f8cd3ae78a1 · outbound

This paper cites Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Reference 26

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Observation 889c243e-51ec-44bf-89be-d68bfe2166ac · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey.Journal of Machine Learning Research, 21(181):1–50, 2020.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Curriculum learning for reinforcement learning domains: A framework and survey.Journal of Machine Learning Research, 21(181):1–50, 2020

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:54.973097Z

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Observation 37116f0d-5917-477e-a48f-94fd5399c192 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 28

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Observation 8584100c-dc38-48c0-b651-6852c3a3c7e3 · outbound

This paper cites Competition Dynamics Shape Algorithmic Phases of In-Context Learning.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Competition Dynamics Shape Algorithmic Phases of In-Context Learning

Reference 29

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Observation 6b0c4611-98c5-4f85-b35c-2dfb186c84b6 · outbound

This paper cites Pedregosa, G.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Pedregosa, G

Reference 30

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Observation 8cb19ca3-d12e-4473-92d1-4cc5f808870b · outbound

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

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 31

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Observation 363b88b7-5f6f-476f-aadf-98c0a51940cf · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Measuring and Narrowing the Compositionality Gap in Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:55.614097Z

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Observation 67a410d3-38a6-4c80-bc37-10c24b51953a · outbound

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Distinct Computations Emerge From Compositional Curricula in In-Context Learning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:42:02.981932Z

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Observation f6d5fa38-5289-4281-8160-5e3c2236f87f · outbound

This paper cites Pretraining task diversity and the emergence of non-bayesian in-context learning for regression.Advances in Neural Information Processing Systems, 36, 2024.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Pretraining task diversity and the emergence of non-bayesian in-context learning for regression.Advances in Neural Information Processing Systems, 36, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:02.700140Z

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Observation acc94181-5e53-4c03-99f9-7b3d4b8d2821 · outbound

This paper cites Human curriculum effects emerge with in-context learning in neural networks.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Human curriculum effects emerge with in-context learning in neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:02.353233Z

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Observation 6f4da2e4-db7a-4713-b0f7-e12fffcf3fc5 · outbound

This paper cites Meta-learning with memory-augmented neural networks.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Meta-learning with memory-augmented neural networks

Reference 36

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This paper cites The transient nature of emergent in-context learning in transformers.Advances in Neural Information Processing Systems, 36, 2024.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning The transient nature of emergent in-context learning in transformers.Advances in Neural Information Processing Systems, 36, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:02.070663Z

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Observation 8ce48db4-0054-42b8-ace2-9dd85ae16bd8 · outbound

This paper cites What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

Reference 38

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Observation f92b09a7-7f7d-40fd-b10e-974829cf1315 · outbound

This paper cites Strategy Coopetition Explains the Emergence and Transience of In-Context Learning.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Strategy Coopetition Explains the Emergence and Transience of In-Context Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:58.362578Z

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This paper cites BF Skinner Foundation, 2019.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning BF Skinner Foundation, 2019

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:01.795883Z

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Observation 5cd73bb2-f68f-485d-8987-de81791573f1 · outbound

This paper cites On the proper treatment of connectionism.Behavioral and brain sciences, 11 (1):1–23, 1988.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning On the proper treatment of connectionism.Behavioral and brain sciences, 11 (1):1–23, 1988

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:01.431465Z

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Observation cf79acef-2f7b-4c3e-9862-40c42cd27aea · outbound

This paper cites Discovering the compositional structure of vector representations with role learning networks.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Discovering the compositional structure of vector representations with role learning networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:01.243466Z

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Observation 0ef63e04-d222-4df0-899d-7facac2637a2 · outbound

This paper cites Metaphysics Research Lab, Stanford Univer- sity, fall 2024 edition, 2024.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Metaphysics Research Lab, Stanford Univer- sity, fall 2024 edition, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:01.013350Z

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Observation f428152d-c879-4524-9d26-464fdb6f7f0b · outbound

This paper cites What do you learn from context? probing for sentence structure in contextualized word representations.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning What do you learn from context? probing for sentence structure in contextualized word representations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:00.901480Z

Source-reported events for the cited work

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Observation 6a8b4e7f-4b35-4e47-a24e-19a8698e743c · outbound

This paper cites A deep hierarchical approach to lifelong learning in minecraft.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning A deep hierarchical approach to lifelong learning in minecraft

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:00.744232Z

Source-reported events for the cited work

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Observation 959a4e8b-42ef-4161-91f0-a29c38637dc2 · outbound

This paper cites Function Vectors in Large Language Models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Function Vectors in Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:58.910906Z

Source-reported events for the cited work

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Observation e7561e4c-33f9-4d9a-8485-924c9a3e2e46 · outbound

This paper cites Matching networks for one shot learning.Advances in neural information processing systems, 29, 2016.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Matching networks for one shot learning.Advances in neural information processing systems, 29, 2016

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:58.974439Z

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Observation dada2299-e478-4505-a5b2-83ec775c3ed9 · outbound

This paper cites Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:59.042862Z

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Observation a02c0f11-2e4b-4f09-b990-3336ceb63733 · outbound

This paper cites Learning to reinforcement learn.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Learning to reinforcement learn

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:59.109364Z

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Observation 9d1fe755-6d58-4879-9cb7-1771908e7cf5 · outbound

This paper cites A survey on curriculum learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):4555–4576, 2021.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning A survey on curriculum learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):4555–4576, 2021

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This paper cites Emergent Abilities of Large Language Models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Emergent Abilities of Large Language Models

Reference 51

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Observation d3d953d1-b8f4-4770-8e1b-18ec220bcaa7 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Chain-of-thought prompting elicits reasoning in large language models

Reference 52

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This paper cites When do curricula work? InInternational Conference on Learning Representations, 2021.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning When do curricula work? InInternational Conference on Learning Representations, 2021

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:00.615129Z

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Observation 8ebed079-74d7-4438-b13b-c8b9ea5b7575 · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning An explanation of in-context learning as implicit bayesian inference

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:59.502479Z

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This paper cites Do Large Language Models Latently Perform Multi-Hop Reasoning?.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Do Large Language Models Latently Perform Multi-Hop Reasoning?

Reference 55

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This paper cites Which Attention Heads Matter for In-Context Learning?.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Which Attention Heads Matter for In-Context Learning?

Reference 56

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This paper cites Parsel: Algo- rithmic reasoning with language models by composing decompositions.Advances in Neural Information Processing Systems, 36:31466–31523, 2023.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Parsel: Algo- rithmic reasoning with language models by composing decompositions.Advances in Neural Information Processing Systems, 36:31466–31523, 2023

Reference 57

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This paper cites The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

Reference 58

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Observation 0b91858d-a81d-480b-a2b8-6f3f603ad1ca · outbound

This paper cites Least-to-most prompting enables complex reasoning in large language models.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Least-to-most prompting enables complex reasoning in large language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:00.508092Z

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Observation 8400a1c0-bcc1-4e2a-b2b7-a3bd67d3903b · outbound

This paper cites Since bax modP=b ax mod (P−1) modP , the intermediate values from task a, bthat we try to decode from compositional task blocks are ax modP and b.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Since bax modP=b ax mod (P−1) modP , the intermediate values from task a, bthat we try to decode from compositional task blocks are ax modP and b

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:00.355622Z

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Pith citing papers

Observation 18884fac-04a1-4cb6-ae2e-4be1d774f747 · inbound

Pretraining Curricula Enable Selective Fine-tuning cites this paper.

Pretraining Curricula Enable Selective Fine-tuning Distinct Computations Emerge From Compositional Curricula in In-Context Learning

Reference 27

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