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Paper Citation Record · LEDGER

Pretraining Curricula Enable Selective Fine-tuning

As of 22 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2607.04846.

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

pith.paper-citation-record.v1
2607.04846 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

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

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

81 of 81 outbound references displayed

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External citation measurements

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Outbound references

Observation 83fa583d-eb4d-4911-9ba7-a6608002e0ce · outbound

This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

Pretraining Curricula Enable Selective Fine-tuning Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 1

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Observation 5655d166-5aec-4585-a888-47d8c96ac0f1 · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 2

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Observation a7a01444-d56a-4b55-83bb-5d2f416b8054 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Pretraining Curricula Enable Selective Fine-tuning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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Observation 99b1225f-edfb-4fd3-a2df-e7153d85a4d0 · outbound

This paper cites Belrose, Q.

Pretraining Curricula Enable Selective Fine-tuning Belrose, Q

Reference 4

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Observation c2cb4512-b12c-4efb-bb0e-408fc764898a · outbound

This paper cites Bengio, J.

Pretraining Curricula Enable Selective Fine-tuning Bengio, J

Reference 5

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Observation 624054fb-26d5-47de-8998-c9d8fd204d0e · outbound

This paper cites Bengio, A.

Pretraining Curricula Enable Selective Fine-tuning Bengio, A

Reference 6

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Observation 665affcc-f604-4506-a667-eb92808f13a2 · outbound

This paper cites Representation Learning: A Review and New Perspectives.

Pretraining Curricula Enable Selective Fine-tuning Representation Learning: A Review and New Perspectives

Reference 7

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Observation 47d77955-5274-4b08-8f4f-a49a0727d068 · outbound

This paper cites Betley, D.

Pretraining Curricula Enable Selective Fine-tuning Betley, D

Reference 8

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Observation ed70dce4-0c29-4681-a363-59c25b3dca57 · outbound

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Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 9

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Observation badaf96e-baad-496f-a1d9-f10b1dbcda09 · outbound

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Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 10

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Observation 47d686fb-09b8-4ab2-91a4-7fd90ca8d0b8 · outbound

This paper cites Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models.

Pretraining Curricula Enable Selective Fine-tuning Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Reference 11

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Observation 3d5558e4-d2e8-4a39-891c-21533bfe615e · outbound

This paper cites Conmy, A.

Pretraining Curricula Enable Selective Fine-tuning Conmy, A

Reference 12

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Observation b491c94d-91be-4f9f-8df4-7388e0db4814 · outbound

This paper cites Elhage, N.

Pretraining Curricula Enable Selective Fine-tuning Elhage, N

Reference 13

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Observation 4e36b542-cc53-4873-8eb6-3fb8c3b54fed · outbound

This paper cites Flesch, J.

Pretraining Curricula Enable Selective Fine-tuning Flesch, J

Reference 14

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Observation b2aec80c-bb31-4362-8227-d281dd3f8ef6 · outbound

This paper cites Flesch, K.

Pretraining Curricula Enable Selective Fine-tuning Flesch, K

Reference 15

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correction dated 2022-12-21. Source: crossref record 10.1016/j.neuron.2022.12.004->10.1016/j.neuron.2022.01.005:correction, observed 2026-07-11T03:16:10.098501+00:00. This notice travels one citation hop only.

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Observation b75008fa-e823-4c9d-a88c-0b752f9070cd · outbound

This paper cites What Can Transformers Learn In-Context? A Case Study of Simple Function Classes.

Pretraining Curricula Enable Selective Fine-tuning What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 16

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Observation 6c5919d8-37c1-419e-a653-91fd1029b76e · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

Pretraining Curricula Enable Selective Fine-tuning Transformer Feed-Forward Layers Are Key-Value Memories

Reference 17

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Observation 2b787106-6452-4a1b-aaf0-94d79a48d627 · outbound

This paper cites Distinct mechanisms underlying in-context learning in transformers.

Pretraining Curricula Enable Selective Fine-tuning Distinct mechanisms underlying in-context learning in transformers

Reference 18

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Observation 95278f95-773d-4c71-a00a-1c1eaf1caf37 · outbound

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

Pretraining Curricula Enable Selective Fine-tuning How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Reference 19

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Observation 63250c6f-47bc-4ec7-93a9-3f0903943b8d · outbound

This paper cites How to use and interpret activation patching.

Pretraining Curricula Enable Selective Fine-tuning How to use and interpret activation patching

Reference 20

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Observation 8267fc28-202a-4699-84a3-940cb1670fa4 · outbound

This paper cites Higgins, L.

Pretraining Curricula Enable Selective Fine-tuning Higgins, L

Reference 21

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Observation 73310541-2cb4-4330-96b1-2b98ccc9f201 · outbound

This paper cites Kalimeris, G.

Pretraining Curricula Enable Selective Fine-tuning Kalimeris, G

Reference 22

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This paper cites Kirkpatrick, R.

Pretraining Curricula Enable Selective Fine-tuning Kirkpatrick, R

Reference 23

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Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 24

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Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 25

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Observation 72698591-2e12-45a9-ab1f-6bf1bae218ab · outbound

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

Pretraining Curricula Enable Selective Fine-tuning Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

Reference 26

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This paper cites Distinct Computations Emerge From Compositional Curricula in In-Context Learning.

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

Reference 27

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Observation 8b6de889-fd8e-4446-a99f-1a4bae5e7f5d · outbound

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Pretraining Curricula Enable Selective Fine-tuning Lieberum, M

Reference 28

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This paper cites Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla.

Pretraining Curricula Enable Selective Fine-tuning Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Reference 29

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Pretraining Curricula Enable Selective Fine-tuning Dual Operating Modes of In-Context Learning

Reference 30

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Pretraining Curricula Enable Selective Fine-tuning What do Language Models Learn and When? The Implicit Curriculum Hypothesis

Reference 31

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Pretraining Curricula Enable Selective Fine-tuning Locatello, S

Reference 32

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Pretraining Curricula Enable Selective Fine-tuning Decoupled Weight Decay Regularization

Reference 33

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Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 34

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Pretraining Curricula Enable Selective Fine-tuning Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks

Reference 35

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Pretraining Curricula Enable Selective Fine-tuning Mante, D

Reference 36

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Observation b22baa06-18dc-4766-9a75-88d53e4b5503 · outbound

This paper cites Mathy and J.

Pretraining Curricula Enable Selective Fine-tuning Mathy and J

Reference 37

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Observation 5c506fe7-6bc5-4fce-8d00-27b100ba30e5 · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Pretraining Curricula Enable Selective Fine-tuning Locating and Editing Factual Associations in GPT

Reference 38

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Observation c41c80af-45ea-4ff5-8023-5064c4e7d776 · outbound

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

Pretraining Curricula Enable Selective Fine-tuning Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 39

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Observation f18a2395-d97e-4f11-b959-df861a1767c4 · outbound

This paper cites Michaud, Z.

Pretraining Curricula Enable Selective Fine-tuning Michaud, Z

Reference 40

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:74fe1c01c09ed9a23150bb12832cec8ff361cde81cea1da54a3a4761e9629ba1

Observation 8bea7dd2-5f19-4383-9099-2db436a97a8b · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 41

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:6053f78eb5f3ed8319b79dd85a5cb8d18b922132f3309136026b3ebe23a99975

Observation 14eb3790-add1-4859-96cf-01e110428f7d · outbound

This paper cites In-context Learning and Induction Heads.

Pretraining Curricula Enable Selective Fine-tuning In-context Learning and Induction Heads

Reference 42

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:8296caa34bc30a7af9a06db77fc5f985f3f3b72016c9f46e6b1482c53adf0a57

Observation 1156e21f-d51b-4c60-a007-e307d7fd076f · outbound

This paper cites Training language models to follow instructions with human feedback.

Pretraining Curricula Enable Selective Fine-tuning Training language models to follow instructions with human feedback

Reference 43

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:204ae9c800b3270b5bbaccfda3ed799c82ef010b2937d020613d12261dcf9700

Observation fce2338f-8e44-46d4-ae19-09c5bb964f77 · outbound

This paper cites What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.

Pretraining Curricula Enable Selective Fine-tuning What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

Reference 44

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:631fae25c08adf5402dd9d32dfa1659c188c7d76e2dc61d33e23efa5d255666a

Observation e5a6af88-1509-4b9d-a093-7f0f2641c191 · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 45

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:4d5fb004fe4fbf0836279db90e6170aae2b800dc1f719fc047d4333668b22d13

Observation 4ca5140b-5188-4328-95d1-2188ba5697f9 · outbound

This paper cites Disentangling Variational Autoencoders.

Pretraining Curricula Enable Selective Fine-tuning Disentangling Variational Autoencoders

Reference 46

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:cf4b364536613cae2342832e90b13b42e5d1101e0c11d55c60f1d29d8b74c0ae

Observation ed4657d0-aa66-400e-99c8-5d56d1c21ed8 · outbound

This paper cites Pesnot Lerousseau and C.

Pretraining Curricula Enable Selective Fine-tuning Pesnot Lerousseau and C

Reference 47

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:6901e87c597b7afc35dc9156e02b9e3a7bce05bb7218a1061f72f15b0a1a28ce

Observation 8b0e5569-2443-405d-8e81-3555d29cf70a · outbound

This paper cites Safety Alignment Should Be Made More Than Just a Few Tokens Deep.

Pretraining Curricula Enable Selective Fine-tuning Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Reference 48

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:fef24de5ef0120bb942e0d67caff2a270d17cc51f797a76a36eafc1194e9ce0f

Observation 9934cb06-e007-4d70-9d96-accda0cc88fb · outbound

This paper cites Understanding Addition in Transformers.

Pretraining Curricula Enable Selective Fine-tuning Understanding Addition in Transformers

Reference 49

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:e47b36b6bb7676549b2917a95c3f93eccd72db342b536746b55c0f78a11469b5

Observation b7d5f712-e150-4dbc-a58e-5d2d83ec920f · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Pretraining Curricula Enable Selective Fine-tuning Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 50

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:440120a9d0b57ae50c9bbddf75b19f59b619b39ef0bff6b7b577c239eda6e6ed

Observation 89e0dbff-626e-4735-9497-d9624a729cce · outbound

This paper cites Rahaman, A.

Pretraining Curricula Enable Selective Fine-tuning Rahaman, A

Reference 51

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:17549e1337721f32fd87b61a5e80d13a0e91e83e27a12bfb1dba3ce2cd5400b5

Observation f0c4cc16-a197-4fbd-b2ac-35a7438d450e · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 52

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:33eb71d5241103564e99838dc302207bc75f8dd30205a4f607f47c3f179bcf1f

Observation f351af03-12cc-402c-a015-6a3ea8a2c40e · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 53

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:751078de11b29cd566313b0e32586ad44c4c82f435fa92af0046083ce64ab644

Observation c39d4177-e527-4d76-808c-b4e4b9cfe84f · outbound

This paper cites Rubruck, J.

Pretraining Curricula Enable Selective Fine-tuning Rubruck, J

Reference 54

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:29780534b89e5e2692ea8fb5d3b00ca425ea28a4248bf1e0dcf29e2f549c3458

Observation 31fe584a-dd79-417c-8b2a-2cd95cc79438 · outbound

This paper cites Russin, E.

Pretraining Curricula Enable Selective Fine-tuning Russin, E

Reference 55

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verified exact
doi, observed 2026-07-11T12:38:00.586725Z

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:8d61df63cf0e103501b5a9989790e143bb0ed767eaa61d72c97caf1cd7fb7237

Observation 232630f0-adca-4cdb-a8e8-a21462d6ae07 · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 56

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:6c50ee2ba9f185404873dbcd71e1ad4ec11161bd7783b1d7ec10f3b926fa75b5

Observation 33505b7c-72ef-4c94-b0f6-2a8fc8b2db7c · outbound

This paper cites Think Before Refusal : Triggering Safety Reflection in LLMs to Mitigate False Refusal Behavior.

Pretraining Curricula Enable Selective Fine-tuning Think Before Refusal : Triggering Safety Reflection in LLMs to Mitigate False Refusal Behavior

Reference 57

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:721be4494d8a92ead2f96caed38001510f32ab2dc1d24df2f5e006156912f744

Observation c2087ca9-3778-4536-8975-d78d28b2ef6e · outbound

This paper cites Singh, S.

Pretraining Curricula Enable Selective Fine-tuning Singh, S

Reference 58

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:17654c5b4eec90e30d2690fe0fff7f682b7941aa3ceab9b194b522bd7938af3c

Observation e216f0f0-e25a-493b-b7dd-ee5d2e193078 · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 59

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:d1c9f4108ec4a28beae7535bd0758b3f06ecfde85f3706c6b5b8fc56134060b6

Observation 7a8d06ce-8e04-4865-a60d-d17f2a61e67d · outbound

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

Pretraining Curricula Enable Selective Fine-tuning What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

Reference 60

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:f103f94ae842d1f238e316e273fe45758dbb772511c0321fcd6c7a5ecee8d597

Observation f1f4742f-ff90-4bbe-a934-5d8354c697b0 · outbound

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

Pretraining Curricula Enable Selective Fine-tuning Strategy Coopetition Explains the Emergence and Transience of In-Context Learning

Reference 61

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:44e021daa78d259ac75630daeb085c6202f4a33618f1e278efa135471a7ce79e

Observation b8b26511-0629-4c52-864a-53a78f021ebd · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 62

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:858c54766b8ab4e586111dfe62098aff9d46193b55bd540157dbb039aedbd457

Observation 8fed5217-a9e6-4a8c-a20e-d071807807c2 · outbound

This paper cites Curriculum Learning: A Survey.

Pretraining Curricula Enable Selective Fine-tuning Curriculum Learning: A Survey

Reference 63

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:a4b7b53def094eeb049461e0b0ce2a2ea8969931e29b53eeb5dadc8cbe5e3b26

Observation 697d2a51-cfa3-4030-b088-0a9ca01b01c6 · outbound

This paper cites Srivastava, G.

Pretraining Curricula Enable Selective Fine-tuning Srivastava, G

Reference 64

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:1377d51fd6ecee69531a3afdefe524fa809ff8f1c06ee78492ccff49f96ec33d

Observation 7e882b41-93ab-4898-a567-a1e8b10fb4cd · outbound

This paper cites Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations.

Pretraining Curricula Enable Selective Fine-tuning Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations

Reference 65

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:e380bea4cc250833f4fd7f588e74cbab99d35193e5cc1ce8fa5fd1885a268a88

Observation 28df3ded-5c6b-4d2f-a622-2da26f889e77 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Pretraining Curricula Enable Selective Fine-tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 66

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:b0aecaa40582b2c7ce9ac650cd1f40a617ebaae971fb3cb843b5b6abada6ffeb

Observation c649b4be-dab0-4c6a-b676-7c7a5b2adc30 · outbound

This paper cites Vaswani, N.

Pretraining Curricula Enable Selective Fine-tuning Vaswani, N

Reference 67

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:129a01e3679440e916b7c578053182dec1d5dd5e02a891e0421e41c6928674a7

Observation 0a7d0bfe-168d-42cf-aba6-7b3f9c123b0d · outbound

This paper cites V olk, C.

Pretraining Curricula Enable Selective Fine-tuning V olk, C

Reference 68

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:cd0933e80c72e12a8354dcb5efc1d3109c5033e9dfd89abc257ee11768d3f362

Observation ccac6365-a51e-432b-96d8-ed1cb1450772 · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 69

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:32189dde56fe2fcd85a49d8287ccfb42646cf93235926ee567f219bd5f9d65b9

Observation 73e919b7-2ad2-4b3b-8a04-d72341c5da32 · outbound

This paper cites Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation.

Pretraining Curricula Enable Selective Fine-tuning Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation

Reference 70

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:95e57117640a62be5c034d4c35770c2c0669a03d535262d309e19c89129ae6bd

Observation be26d0a7-6f40-4191-9a66-511b7de2f252 · outbound

This paper cites Warstadt, A.

Pretraining Curricula Enable Selective Fine-tuning Warstadt, A

Reference 71

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:1b0bcfa3c06b3cd4e3dacc071b5d448756dfcf4e9eb554b580b3053bfe144b31

Observation aacdf696-33df-4167-9d7f-819d22a20b8a · outbound

This paper cites When Do Curricula Work?.

Pretraining Curricula Enable Selective Fine-tuning When Do Curricula Work?

Reference 72

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:a0d0ccec32db3e967f807c5c7b88023bdd3d773f17b26fb3dfe01341157b58ac

Observation ecc31650-df23-407a-b43d-b22b8932bd4c · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 73

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:a4d085f0a9f129259c38d76392eb28d6922b06039d08b2a1afddecaaca6817a1

Observation f1628889-594e-40ab-9576-68f6b3ccab18 · outbound

This paper cites Zhang, A.

Pretraining Curricula Enable Selective Fine-tuning Zhang, A

Reference 74

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:7061f1f891111721a3d98d2124cda56c22513806580f5ac85a9bede73cf4fa4b

Observation d9d736de-8128-40c1-9230-63843d1159f1 · outbound

This paper cites Zhang, A.

Pretraining Curricula Enable Selective Fine-tuning Zhang, A

Reference 75

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:7452bd5751379331c13f0b1379746e2767e72608c2471bd79b47d745f0da4343

Observation 05131139-e569-4c02-84bd-af6376d4ffa5 · outbound

This paper cites How do language models learn facts? Dynamics, curricula and hallucinations.

Pretraining Curricula Enable Selective Fine-tuning How do language models learn facts? Dynamics, curricula and hallucinations

Reference 76

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:833d598c1e0b6a5ca0221536568b2687f4e2e50524530913dd6a97395b94e4a2

Observation 8c3021b4-4cd8-4802-bf9f-ca6314b9806e · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 77

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:321105ad5d576cfe6d44ae8e788322ac9bbdfdddc72ee1632aabf1178220ad12

Observation 6c449d5f-cc61-4ff9-97e3-3488c393ed14 · outbound

This paper cites clean" sequence drawn from one task, we construct a.

Pretraining Curricula Enable Selective Fine-tuning clean" sequence drawn from one task, we construct a

Reference 78

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:1aa467a1ca764267601279847f06d22571b29668ee11884eaadea13f89509bab

Observation 48d8650a-0189-442f-9570-787737e4a9c0 · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 79

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:1f7725e379782d014b006d4cf366a51877d5238225eafd26a33274c1504cbfa0

Observation 501b9a73-c808-4846-88a9-660e99947067 · outbound

This paper cites an unresolved cited work.

Pretraining Curricula Enable Selective Fine-tuning Unresolved cited work

Reference 80

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source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:86a23f70007d2ba77914aa4d03931dbadccf81190aec4e6f9ecb0422e2d7aaa4

Observation e330665f-47ea-440d-a810-c60a6abb34f6 · outbound

This paper cites This person is named Boband works as a.

Pretraining Curricula Enable Selective Fine-tuning This person is named Boband works as a

Reference 81

Resolution
unresolved
no resolver link, observed 2026-07-11T12:36:24.747752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:c9b738f9b881b93ff66864caee03779952a7b075eee6d1240f13e7eae507ed68

Pith citing papers

No inbound Pith citation observations are available.