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Paper Citation Record · LEDGER

Decomposing Prediction Mechanisms for In-Context Recall

As of 10 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2507.01414.

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

pith.paper-citation-record.v1
2507.01414 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:57:50.562642Z

measured 89 of 89 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

89 of 89 outbound references displayed

  • verified exact2
  • verified fuzzy47
  • unresolved38
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d63445b-9904-4aa1-9fcd-352603307b18 · outbound

This paper cites In-Context Language Learning: Architectures and Algorithms.

Decomposing Prediction Mechanisms for In-Context Recall In-Context Language Learning: Architectures and Algorithms

Reference 1

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Observation 68b19d44-e34d-4448-a1b7-0f8fc71f69b8 · outbound

This paper cites Lepori, Jack Merullo, and Ellie Pavlick.

Decomposing Prediction Mechanisms for In-Context Recall Lepori, Jack Merullo, and Ellie Pavlick

Reference 2

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source=pdf_text observed=2026-08-06T20:57:47.391018Z digest=sha256:93ba87b67ad2848d23e5f1b875e23a72c9714f736868d8057e4af0f17be262e9

Observation c6d43768-d201-4cbb-9be7-612c124966d4 · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Decomposing Prediction Mechanisms for In-Context Recall Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 3

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source=pdf_text observed=2026-08-06T20:57:47.494240Z digest=sha256:0a844ba7e111033e985f971db140018c6722383a58ebdb71c525d6432a434e52

Observation f5ac2633-72d9-4809-ba23-b5ac0b410e82 · outbound

This paper cites Copernicus, New York, NY , USA, 1996.

Decomposing Prediction Mechanisms for In-Context Recall Copernicus, New York, NY , USA, 1996

Reference 4

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source=pdf_text observed=2026-08-06T20:57:47.557374Z digest=sha256:7019ef526cb10487f34e6a9c289fce9dae9875d48af396afe1fcdc7d92efb6dd

Observation 207607ea-25dc-4828-8ae7-4bb8ce2d546f · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on Machine Learning Research, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on Machine Learning Research, 2023

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:57:47.637617Z digest=sha256:74f15a33515df3b29a1cdbf76046339126a3b7b343f60924575d5d9e57690335

Observation 032bf900-263b-4253-9a51-6e01fb661c56 · outbound

This paper cites Finding transformer circuits with edge pruning.

Decomposing Prediction Mechanisms for In-Context Recall Finding transformer circuits with edge pruning

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:47.729232Z digest=sha256:e1137eda4f75d718ea063387accd4cb0787fefbf4edb3801d39fa3f1d904dbcc

Observation 78db4f16-32ca-47de-b375-2d4c0c16fbb0 · outbound

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

Decomposing Prediction Mechanisms for In-Context Recall Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:57:47.830622Z digest=sha256:df73cb5613f1ef55b80d6d80b7d3cf605a247fa94d4e6efe530abb1ce9ab5ed0

Observation db2150c0-0f3e-41b5-8df8-7b6ffbd542bb · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-06T20:57:47.922775Z digest=sha256:be1073ca98b9752a7daa2f34cf6113d36d9fa59058af5597e64d3588933f54cf

Observation 8f2873f2-e3ae-4c09-a79f-3e64fb34b23e · outbound

This paper cites Toward understanding in-context vs.

Decomposing Prediction Mechanisms for In-Context Recall Toward understanding in-context vs

Reference 9

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source=pdf_text observed=2026-08-06T20:57:47.990675Z digest=sha256:dbd707258e1e93fde67bc8ebe8b032fe216770ad3fd27dfa644162ac9092b9b6

Observation 2b8c0232-67ae-42da-9f40-579c5dce449a · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-06T20:57:48.058830Z digest=sha256:39e20ecfa225517809ec044ca0a9a937f78774598001d9e06fdfe82a072a486a

Observation 155da576-b9f3-48bd-9e5f-055be0e4a8a8 · outbound

This paper cites Sudden drops in the loss: Syntax acquisition, phase transitions, and simplicity bias in MLMs.

Decomposing Prediction Mechanisms for In-Context Recall Sudden drops in the loss: Syntax acquisition, phase transitions, and simplicity bias in MLMs

Reference 11

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source=pdf_text observed=2026-08-06T20:57:48.125248Z digest=sha256:69fc87600fec74c0468d1c5e0264cdbe759e75567da535b6fe4f0270c32178bb

Observation b051e9bc-f5c2-4236-8f43-17bc5f1db24e · outbound

This paper cites Quantifying semantic emergence in language models, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Quantifying semantic emergence in language models, 2024

Reference 12

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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=2026-08-06T20:57:48.199456Z digest=sha256:aa823973d14decf221f96324e87eafd68c9c19f49eaba871dca3207b901fe66d

Observation bc162cb3-65db-437b-a29f-d57d543a9333 · outbound

This paper cites Dynamical versus bayesian phase transitions in a toy model of superposition, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Dynamical versus bayesian phase transitions in a toy model of superposition, 2023

Reference 13

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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=2026-08-06T20:57:48.285810Z digest=sha256:3878756d69f22183295bcc8d24ca3b714b2dfb794b5f092a08b77f1a9f38e4d8

Observation 9ace98a6-1810-4e4e-b52f-24edb86128f2 · outbound

This paper cites Unifying Grokking and Double Descent.

Decomposing Prediction Mechanisms for In-Context Recall Unifying Grokking and Double Descent

Reference 14

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source=pdf_text observed=2026-08-06T20:57:48.356869Z digest=sha256:2e63b5929fcbd890d122277d4614ecffd390055fa0c305fd65dafa0c43d6ce88

Observation 36919971-e03f-4af6-87ec-6f6dbf4a9630 · outbound

This paper cites Can transformers learn optimal filtering for unknown systems?IEEE Control Systems Letters, 7:3525–3530, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Can transformers learn optimal filtering for unknown systems?IEEE Control Systems Letters, 7:3525–3530, 2023

Reference 15

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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=2026-08-06T20:57:48.421421Z digest=sha256:140e58eae8eaf345d016026ea178d55e4bad8aa88a5df2dfc9547c079a97bdf1

Observation d5873c6d-c0ee-4533-a4bd-ff4e6cce04e3 · outbound

This paper cites Understanding emergent abilities of language models from the loss perspective, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Understanding emergent abilities of language models from the loss perspective, 2025

Reference 16

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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=2026-08-06T20:57:48.489563Z digest=sha256:d33bf99a6a41b76e3f9500e8af612d505ed592ee58004db1f4ecb0da3b4d19a1

Observation 6f0fa652-2942-45fe-a97e-2280ce290262 · outbound

This paper cites The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains.

Decomposing Prediction Mechanisms for In-Context Recall The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 17

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source=pdf_text observed=2026-08-06T20:57:48.557237Z digest=sha256:2cbb02f224c3bb70645de88791e2e833d1eae3efe84cefcf1675f1f414c128dc

Observation ee229cd8-fb24-4b55-9fe6-b5c160e377e9 · outbound

This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread,.

Decomposing Prediction Mechanisms for In-Context Recall A mathematical framework for transformer circuits.Transformer Circuits Thread,

Reference 18

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source=pdf_text observed=2026-08-06T20:57:48.634788Z digest=sha256:d29aae497a5c0debf1b8522658a79161fbe26af48989a957f7094abfe069deef

Observation d7461706-7e55-4ca8-9e43-a9e4ee485eb2 · outbound

This paper cites Predictability and surprise in large generative models.

Decomposing Prediction Mechanisms for In-Context Recall Predictability and surprise in large generative models

Reference 19

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raw_fallback, observed 2026-08-06T20:57:51.611107Z

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=2026-08-06T20:57:48.802653Z digest=sha256:251fef69d3f6662862bf8dfedbb6889cdddbfd8cb23d040ff1468aceab848e27

Observation f523d299-edc4-48a9-ade2-efcce5a27bf7 · outbound

This paper cites What can transformers learn in-context? a case study of simple function classes.Advances in Neural Information Processing Systems, 35:30583–30598, 2022.

Decomposing Prediction Mechanisms for In-Context Recall What can transformers learn in-context? a case study of simple function classes.Advances in Neural Information Processing Systems, 35:30583–30598, 2022

Reference 20

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source=pdf_text observed=2026-08-06T20:57:48.874830Z digest=sha256:6496d43d6496b61a302e0157810e6a8fd7f87a9baf898d1a2e96fd8231071a22

Observation 33e27c69-de1b-4d9d-81d4-70126a5b76c8 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Decomposing Prediction Mechanisms for In-Context Recall OLMo: Accelerating the Science of Language Models

Reference 21

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source=pdf_text observed=2026-08-06T20:57:48.954246Z digest=sha256:423e931f6de4466cf2cc054de854a8cfe6d3d561a4f2101db71094c44d3427c5

Observation c11acdc7-b915-4c30-bbee-d21ed541daf4 · outbound

This paper cites Grokking modular arithmetic.

Decomposing Prediction Mechanisms for In-Context Recall Grokking modular arithmetic

Reference 22

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source=pdf_text observed=2026-08-06T20:57:49.031244Z digest=sha256:55db18f7ca79c3512578d64368616cb2337d13729feffca93b379cd7bd1c4f34

Observation 7d6cc3ad-fdba-435e-bbe0-8ec343865c1a · outbound

This paper cites Loss landscape degeneracy drives stagewise development in transformers, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Loss landscape degeneracy drives stagewise development in transformers, 2025

Reference 23

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source=pdf_text observed=2026-08-06T20:57:49.103661Z digest=sha256:4231fa29759e2b15796b70645a984197db46f3ab28aaafbccf8a4c8dbe07fbdf

Observation fd601a35-8b4c-4b53-a661-43ef27000f66 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982.

Decomposing Prediction Mechanisms for In-Context Recall Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982

Reference 24

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source=pdf_text observed=2026-08-06T20:57:49.187011Z digest=sha256:d9fb02a96ac918cc69875ddfa4e413f840c0decaf5b160f1509e55afc061b9f9

Observation 5fbf382b-11c6-4e9f-bcfa-8a1bcefa9927 · outbound

This paper cites Task descriptors help transformers learn linear models in-context.

Decomposing Prediction Mechanisms for In-Context Recall Task descriptors help transformers learn linear models in-context

Reference 25

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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=2026-08-06T20:57:49.284731Z digest=sha256:5f183da5eb5ae757f91cd3255bd9468a5d45245424dc31d1a0d89ba220857fc8

Observation 7ff2b510-b71f-43d7-94ff-6aa2798a8dae · outbound

This paper cites Deep networks always grok and here is why.

Decomposing Prediction Mechanisms for In-Context Recall Deep networks always grok and here is why

Reference 26

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raw_fallback, observed 2026-08-06T20:57:51.544878Z

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=2026-08-06T20:57:49.292777Z digest=sha256:ec392ea64df2e0c5ef84d70a1f5a06a0269c249ae7d1f1c5bdf1a11d1b1a28b4

Observation 67e4b03f-617a-4dc8-b0a4-ce4bd50f7f8e · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 27

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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=2026-08-06T20:57:49.386295Z digest=sha256:f89cb5e0d99aa505beb5eba0f5830e3477060face0ff0b1aeeaa58faa45a8795

Observation 5780ac73-d04a-4e0c-b3b4-8316f3714c72 · outbound

This paper cites Grokking as the transition from lazy to rich training dynamics.

Decomposing Prediction Mechanisms for In-Context Recall Grokking as the transition from lazy to rich training dynamics

Reference 28

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raw_fallback, observed 2026-08-06T20:57:51.515532Z

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=2026-08-06T20:57:49.521069Z digest=sha256:87c0b8b2deb1950c8416d853a235867bdfddc13420fb7d59652a9efc373401c0

Observation 1aa3af2f-3150-4b30-a59a-66594e8a73f9 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 29

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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=2026-08-06T20:57:49.640425Z digest=sha256:46b816da19f776a8d68f639eff870e7d9f6c139561266398e5654fec5dfb073f

Observation 64c6aff3-b30d-44fe-abd8-6fadb4733a06 · outbound

This paper cites The local learning coefficient: A singularity-aware complexity measure, 2024.

Decomposing Prediction Mechanisms for In-Context Recall The local learning coefficient: A singularity-aware complexity measure, 2024

Reference 30

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raw_fallback, observed 2026-08-06T20:57:51.484652Z

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=2026-08-06T20:57:49.772445Z digest=sha256:752365fe9b4508b51cce0ac6d151c4e49d8dd38bf5633fc42a3394274efc5e3d

Observation cca60b8a-8980-4b77-abc3-e7d778eb3db3 · outbound

This paper cites Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling.

Decomposing Prediction Mechanisms for In-Context Recall Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling

Reference 31

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local_arxiv, observed 2026-08-06T20:57:50.729788Z

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=2026-08-06T20:57:49.881070Z digest=sha256:ae052a0222fa5fde9fbedbe4244be040471a899cfa905b438c23579a8dfca189

Observation f77a2e13-8aeb-4532-8a80-ea132a00d750 · outbound

This paper cites Trans- formers as algorithms: Generalization and stability in in-context learning.

Decomposing Prediction Mechanisms for In-Context Recall Trans- formers as algorithms: Generalization and stability in in-context learning

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.470598Z

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=2026-08-06T20:57:50.007600Z digest=sha256:566266c697e8d3b481e419323498116b88e978acd6b28f6e4f411e85b583324b

Observation 99bfa400-d578-497d-bea8-ea8c3d4b4f5e · outbound

This paper cites Dual operating modes of in-context learning, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Dual operating modes of in-context learning, 2024

Reference 33

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raw_fallback, observed 2026-08-06T20:57:51.456102Z

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=2026-08-06T20:57:50.124977Z digest=sha256:f1df1d3ae49d2a354243a5146b79c53180972867c8f63e13dccd09fb49cf11dc

Observation f38d062f-5859-480d-8a95-86e6c878fafc · outbound

This paper cites Can transformers solve least squares to high precision? InICML 2024 Workshop on In-Context Learning, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Can transformers solve least squares to high precision? InICML 2024 Workshop on In-Context Learning, 2024

Reference 34

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raw_fallback, observed 2026-08-06T20:57:51.441982Z

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=2026-08-06T20:57:50.145177Z digest=sha256:e15820e9ea74c891bce11408564cbf43b3221c2aa5825f47f72c33f95e7b4c28

Observation 7b828d0f-6eb3-461a-b0e5-a0942822f9e1 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Decomposing Prediction Mechanisms for In-Context Recall Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.201250Z digest=sha256:6014b0a6a19450463767e82751a65cd583b381af83d5750e11f07b1e47fe59d9

Observation 671c5f59-d0c5-47c4-ba43-fc4270979382 · outbound

This paper cites Omnigrok: Grokking beyond algorithmic data.

Decomposing Prediction Mechanisms for In-Context Recall Omnigrok: Grokking beyond algorithmic data

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.418824Z

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=2026-08-06T20:57:50.316022Z digest=sha256:31af9414123f9c35bfd187e19cb2225beb1d55d79703984f83882ce4d149d423

Observation 2688f4e1-93c3-4562-ba48-a348e8927a75 · outbound

This paper cites Decoupled weight decay regularization, 2019.

Decomposing Prediction Mechanisms for In-Context Recall Decoupled weight decay regularization, 2019

Reference 37

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no resolver link, observed 2026-08-06T20:57:50.327309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.327309Z digest=sha256:7d5ff9410ad309ad23808ac3761cbb0671cdeef0930086c9566da242b9fee0c7

Observation 2e1679c7-fd4d-487e-9ea8-b2e1e801596d · outbound

This paper cites Are Emergent Abilities in Large Language Models just In-Context Learning?.

Decomposing Prediction Mechanisms for In-Context Recall Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 38

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no resolver link, observed 2026-08-06T20:57:50.362140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.362140Z digest=sha256:1187c4d3a058c195213387768321ae111d6a42fa6fe156dd7f0e669e70ca539a

Observation 0ddb44b2-94e3-4b9f-b5d3-04c049609a5a · outbound

This paper cites Dick, and Hidenori Tanaka.

Decomposing Prediction Mechanisms for In-Context Recall Dick, and Hidenori Tanaka

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.394536Z

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=2026-08-06T20:57:50.366585Z digest=sha256:c77703dc6c1ed8a95be2613b2e3f8d535ea7ff317d45a4ed5fc187668df41de0

Observation af9cca3c-f0ec-4dc1-9f81-3963a84a4100 · outbound

This paper cites Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking.

Decomposing Prediction Mechanisms for In-Context Recall Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.370208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.370208Z digest=sha256:590cacdd3c6296aeda07896eab95082b2427f7e30c4a7bed057b4859223b441a

Observation bb2a53ad-8667-469a-98be-b25573be7a5c · outbound

This paper cites A practical bayesian framework for backpropagation networks.Neural computation, 4(3):448–472, 1992.

Decomposing Prediction Mechanisms for In-Context Recall A practical bayesian framework for backpropagation networks.Neural computation, 4(3):448–472, 1992

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.380244Z

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=2026-08-06T20:57:50.374733Z digest=sha256:25d2f6a3a89867e9bb7ea4619e23ae7815d5aa1fd66eca55fe00dbb142dacc5d

Observation 0f1e8a9f-4ec7-4a60-9e96-f23fc3968f19 · outbound

This paper cites Exact learning dynamics of in-context learning in linear transformers and its application to non-linear transformers, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Exact learning dynamics of in-context learning in linear transformers and its application to non-linear transformers, 2025

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.365506Z

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=2026-08-06T20:57:50.379494Z digest=sha256:4b035e1cd892007fe31ca5333751de0ea14762cc06a67753c2e364dea27af000

Observation b811f6a1-233f-4b67-9aa6-3e190e35d328 · outbound

This paper cites Emergence in non-neural models: grokking modular arithmetic via average gradient outer product.

Decomposing Prediction Mechanisms for In-Context Recall Emergence in non-neural models: grokking modular arithmetic via average gradient outer product

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.352256Z

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=2026-08-06T20:57:50.383332Z digest=sha256:b27d72a863e978f4da50af8b7c924f0562df89cbec96c142f1b6acb1520722dd

Observation 2e476f30-2f64-4823-8ab4-256fca7fa2b9 · outbound

This paper cites Hoffman, and David M.

Decomposing Prediction Mechanisms for In-Context Recall Hoffman, and David M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.338471Z

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=2026-08-06T20:57:50.387426Z digest=sha256:7d19335be6483aae9e46059548a8f429cd1483b8de49f0413aebcc2e8c60980c

Observation 89ea9f58-4226-4de9-8aa3-64b1b117e973 · outbound

This paper cites How to generate random matrices from the classical compact groups.

Decomposing Prediction Mechanisms for In-Context Recall How to generate random matrices from the classical compact groups

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.391686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.391686Z digest=sha256:ab17dabd4281dc14886f069f7cf8109204b557dfb04906f3a81fb6cd3d21b2c2

Observation 000462f9-ae81-4b07-b946-d478a9b70acd · outbound

This paper cites The quantization model of neural scaling.Advances in Neural Information Processing Systems, 36, 2023.

Decomposing Prediction Mechanisms for In-Context Recall The quantization model of neural scaling.Advances in Neural Information Processing Systems, 36, 2023

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.396097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.396097Z digest=sha256:d219a92620c578513c27e3fbb9e42012b229fb208135c7d9153c53e734b604d7

Observation b818bee2-639b-4d05-9836-953ecb2326b9 · outbound

This paper cites Rethinking the role of demonstrations: What makes in-context learning work?, 2022.

Decomposing Prediction Mechanisms for In-Context Recall Rethinking the role of demonstrations: What makes in-context learning work?, 2022

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.314342Z

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=2026-08-06T20:57:50.399865Z digest=sha256:c405a92c6d5aaa4a18ec2c87efa0ee017e39e52a5f0a2191ec9ddb7836c0072e

Observation de8c6695-0166-46fa-bb2c-b0af4bfa9530 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.301004Z

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=2026-08-06T20:57:50.404218Z digest=sha256:1bce3681eeaf84f2407a4786aa7a98307a961f1954c03b1e51e945849fd57c70

Observation 12f57399-d789-4112-9fbb-12097e4db8c2 · outbound

This paper cites Grokking mod- ular arithmetic can be explained by margin maximization.

Decomposing Prediction Mechanisms for In-Context Recall Grokking mod- ular arithmetic can be explained by margin maximization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.286523Z

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=2026-08-06T20:57:50.408153Z digest=sha256:84fb462c60c0d1dfaf6293e59e8f5d0a93c897f302331746ea6f3b58ca4565bf

Observation c4136913-72b4-4aa7-80dc-acff20b83f9c · outbound

This paper cites Transformers can do bayesian inference, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Transformers can do bayesian inference, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.272974Z

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=2026-08-06T20:57:50.412570Z digest=sha256:43c746d426582839a5cded7affd961c0f34fe5880bbeb1e7a57ad8062844133c

Observation 4afa61df-3135-4f40-9fbe-3d2fc9b9d5c5 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.260246Z

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=2026-08-06T20:57:50.416531Z digest=sha256:dc3047f403f692514c80889f337121840140463a8af5f6c59803200ee90ee7a9

Observation 39032d8a-d2b7-44af-8ad3-b2e3b7d80178 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Decomposing Prediction Mechanisms for In-Context Recall Progress measures for grokking via mechanistic interpretability

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.247422Z

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=2026-08-06T20:57:50.420860Z digest=sha256:06cfd0cbd7feadf89cb615f46e2a96b0a56603426f76dd3b0a2d0f0c055c0605

Observation 5cba795c-5d46-425e-8f06-e0ed8037d815 · outbound

This paper cites Differential learning kinetics govern the transition from memorization to generalization during in-context learning, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Differential learning kinetics govern the transition from memorization to generalization during in-context learning, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.233720Z

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=2026-08-06T20:57:50.424811Z digest=sha256:5396d764298c55f37d81182f6f58f5904c07c96be5a62a01a5cfef36fa15cb6a

Observation dfae44a1-5038-4732-a3fd-6f2bae8a87f4 · outbound

This paper cites Lee, and Alberto Bietti.

Decomposing Prediction Mechanisms for In-Context Recall Lee, and Alberto Bietti

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.428875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.428875Z digest=sha256:0a4ba9d2069d4eb30e7e0c7ba0271e0de21b42a6c2b1d1bb916233f84e06c55f

Observation fc02881c-073f-4447-a58a-c6529843e325 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.210591Z

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=2026-08-06T20:57:50.433106Z digest=sha256:3f1d6f6bda3e3a0ec08e56c485f74f232bd8eb3049f6d07c32f34bd791f3c319

Observation 723e21ed-5bbb-494a-ba82-8819d30f6d07 · outbound

This paper cites In-context Learning and Induction Heads.

Decomposing Prediction Mechanisms for In-Context Recall In-context Learning and Induction Heads

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.436894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.436894Z digest=sha256:1fbcdd9f4085d841c39ffc5f68d73dfb2991ebcab4e468b33235d288a230b9d8

Observation 804ec645-8b21-45a2-8494-2d2f930f556e · outbound

This paper cites What in-context learning "learns" in-context: Disentangling task recognition and task learning, 2023.

Decomposing Prediction Mechanisms for In-Context Recall What in-context learning "learns" in-context: Disentangling task recognition and task learning, 2023

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.198025Z

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=2026-08-06T20:57:50.440839Z digest=sha256:02f0817b01425e5969d469b205ade69405250ed4ced915a2359c0ea4a554ec1e

Observation a31572cc-2f52-44f7-99eb-3f535e10d3d3 · outbound

This paper cites In-context learning through the bayesian prism, 2024.

Decomposing Prediction Mechanisms for In-Context Recall In-context learning through the bayesian prism, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.185916Z

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=2026-08-06T20:57:50.444624Z digest=sha256:fc970cd4757eead552be1362152d2d98f28076a21fab5a41f4fb2bed7494e926

Observation 30793b95-aaa8-4e66-ab42-9d3ac3c85cb2 · outbound

This paper cites Competition dynamics shape algorithmic phases of in-context learning, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Competition dynamics shape algorithmic phases of in-context learning, 2025

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.173103Z

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=2026-08-06T20:57:50.448214Z digest=sha256:40db19577d9952d6d822915ff156a17045c10658133c28eb651407db8686d614

Observation 56e50786-2ff2-4886-9bf7-18a2bb1b7030 · outbound

This paper cites Gradient starvation: A learning proclivity in neural networks.Advances in Neural Information Processing Systems, 34:1256–1272, 2021.

Decomposing Prediction Mechanisms for In-Context Recall Gradient starvation: A learning proclivity in neural networks.Advances in Neural Information Processing Systems, 34:1256–1272, 2021

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.160478Z

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=2026-08-06T20:57:50.451939Z digest=sha256:c7d96512ab6b2633d6510f8750138346267c49303264afb7e1d80aadd59beb18

Observation 1bd7c59a-1a78-4b51-b1df-733fd66ea5f2 · outbound

This paper cites Multi-scale feature learning dynamics: Insights for double descent.

Decomposing Prediction Mechanisms for In-Context Recall Multi-scale feature learning dynamics: Insights for double descent

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.146280Z

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=2026-08-06T20:57:50.456276Z digest=sha256:157de1cdb4126050c5b982483061e392a2125f2b42507f23f22313a8be22c0f0

Observation 0cfea553-1a99-4ff6-9f62-f81d01c3d2a3 · outbound

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

Decomposing Prediction Mechanisms for In-Context Recall Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.459920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.459920Z digest=sha256:bbb75044d5cf6c27ce924ed811e2cf9af78fa287e49de7fca8948ba3bea1ac44

Observation 1333739d-8086-4ea3-b2b4-c1b15760c450 · outbound

This paper cites Grokking at the Edge of Numerical Stability.

Decomposing Prediction Mechanisms for In-Context Recall Grokking at the Edge of Numerical Stability

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.463997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.463997Z digest=sha256:04a9a9d8936350dae3eaf79cb234539c59eae0f3005a9102325fb4ad1cf6dfe8

Observation 0788a3e0-1ddb-4c08-8369-c2c6cdd85b21 · outbound

This paper cites Transformers on markov data: Constant depth suffices.

Decomposing Prediction Mechanisms for In-Context Recall Transformers on markov data: Constant depth suffices

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.131965Z

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=2026-08-06T20:57:50.469390Z digest=sha256:eee95ccec5da8b4f88c767c5ca3ec6d0cb3d0bd3ba6eb779ac94c53707bdcfaf

Observation c138f444-e289-4a3a-955f-a983ca9ba18d · 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.

Decomposing Prediction Mechanisms for In-Context Recall Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression.Advances in Neural Information Processing Systems, 36, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.119108Z

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=2026-08-06T20:57:50.473168Z digest=sha256:2273c2ccca98f4a66c950c10e6b6482272e8d77ff17996e91e022a48f5ffd619

Observation d8816f7d-d4f4-44ca-93a9-b11c684ea924 · outbound

This paper cites The mechanistic basis of data dependence and abrupt learning in an in-context classification task, 2023.

Decomposing Prediction Mechanisms for In-Context Recall The mechanistic basis of data dependence and abrupt learning in an in-context classification task, 2023

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.105229Z

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=2026-08-06T20:57:50.477710Z digest=sha256:8b684cc4372c902928d1da7df4204b9c75119cd4cd2dbfdb1c117c3c7bcc3f0a

Observation 3b117b78-3ca9-46d5-be1f-4c625d258c31 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.092216Z

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=2026-08-06T20:57:50.482042Z digest=sha256:fa7e7b169d4fcf0d6726ec2491e258461a2818271e018dc5043976b638842659

Observation d0be3b76-8c60-4dca-9dfc-0f69584c4c0b · outbound

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

Decomposing Prediction Mechanisms for In-Context Recall Are emergent abilities of large language models a mirage?Advances in Neural Information Processing Systems, 36, 2024

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.079229Z

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=2026-08-06T20:57:50.485665Z digest=sha256:e5e3cd5013a0efc002e53d3fb72d687c2c1ccf3dbe32ce495d41d45049ebb160

Observation c0b2b5b6-35a6-4236-92a8-1a58e2b0ade3 · outbound

This paper cites I preliminaries.

Decomposing Prediction Mechanisms for In-Context Recall I preliminaries

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.064250Z

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=2026-08-06T20:57:50.489660Z digest=sha256:5f3d6d8cdfd191e51a4bf1ba18196188f71aa66cd7c205329c972ba080b69a07

Observation 242a903a-fc53-44cc-a146-c3c17f33ccab · outbound

This paper cites The pitfalls of simplicity bias in neural networks.Advances in Neural Information Processing Systems, 33:9573–9585, 2020.

Decomposing Prediction Mechanisms for In-Context Recall The pitfalls of simplicity bias in neural networks.Advances in Neural Information Processing Systems, 33:9573–9585, 2020

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.051341Z

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=2026-08-06T20:57:50.493585Z digest=sha256:ff111ca6b2aee43529d5a1be3a5438660a7354fc5eb70d42dc95e631d7846ad5

Observation 9c6ec1f4-3189-431b-867b-8c21c43043e3 · outbound

This paper cites Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C.

Decomposing Prediction Mechanisms for In-Context Recall Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.037428Z

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=2026-08-06T20:57:50.497528Z digest=sha256:6172585fd9c061d203ff94b19b9a51e90dcac345bab369eb0e036e5bd406f6f6

Observation 2c1c3dee-e0cc-4819-bf45-53af02abf929 · outbound

This paper cites Singh, Ted Moskovitz, Felix Hill, Stephanie C.

Decomposing Prediction Mechanisms for In-Context Recall Singh, Ted Moskovitz, Felix Hill, Stephanie C

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.024189Z

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=2026-08-06T20:57:50.500971Z digest=sha256:0d189e07ef1844d2803ac304df3dd1a35050423f0f15cd1ad577b6a1621bcfe4

Observation a103b708-0a07-4d13-bc18-0ea7a8e788ec · outbound

This paper cites The implicit bias of gradient descent on separable data.Journal of Machine Learning Research, 19:1–57, 2018.

Decomposing Prediction Mechanisms for In-Context Recall The implicit bias of gradient descent on separable data.Journal of Machine Learning Research, 19:1–57, 2018

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.010579Z

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=2026-08-06T20:57:50.504540Z digest=sha256:287bfe7268d0ca58d7f23c8c04456b8120796a3050351a500a367d5aaf0b4cd4

Observation c891c0cf-7476-4b69-955f-2c8bae446104 · outbound

This paper cites Transformers learn in-context by gradient descent.

Decomposing Prediction Mechanisms for In-Context Recall Transformers learn in-context by gradient descent

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.508348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.508348Z digest=sha256:fe8d3fc53f1774ed6fbc4ef9c94126339333fe9481757bb4b49d572e8dc77217

Observation dfe94556-f4bf-4227-9d1b-a21d3519d5a1 · outbound

This paper cites Label words are anchors: An information flow perspective for understanding in-context learning, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Label words are anchors: An information flow perspective for understanding in-context learning, 2023

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.988282Z

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=2026-08-06T20:57:50.512389Z digest=sha256:3ed565fdb819b6dd180a5a00ce8a4d8a0324d3d83255fcfb637ad52aa4433a7b

Observation 7d418978-8f03-473f-8a2a-27b221e519d0 · outbound

This paper cites Investigating the pre-training dynamics of in-context learning: Task recognition vs.

Decomposing Prediction Mechanisms for In-Context Recall Investigating the pre-training dynamics of in-context learning: Task recognition vs

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.975604Z

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=2026-08-06T20:57:50.516098Z digest=sha256:1bbbc43586362555c2564445a5a929a2960c0662b314061053d8665bbfb0506b

Observation 31f1e21a-5422-4bd8-9538-0f6d41977210 · outbound

This paper cites Cambridge monographs on applied and computational mathematics ; 25.

Decomposing Prediction Mechanisms for In-Context Recall Cambridge monographs on applied and computational mathematics ; 25

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.962394Z

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=2026-08-06T20:57:50.519925Z digest=sha256:0161e81ed7e39ca624ee37d67b1f0a0534c3591b8374cfebc5debc823d5369b5

Observation 7f2b0d05-542c-44dd-9d49-b6bb9ca53394 · outbound

This paper cites Emergent abilities of large language models.Transactions on Machine Learning Research, 2022.

Decomposing Prediction Mechanisms for In-Context Recall Emergent abilities of large language models.Transactions on Machine Learning Research, 2022

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.523610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.523610Z digest=sha256:c225f81cc5a969978c6ec9916e2dc85bee83e3641d6566e25c0d754279229fbc

Observation 89e7c1c8-f9d5-48f1-8ca4-3c063d7021c9 · outbound

This paper cites Symbol tuning improves in-context learning in language models.

Decomposing Prediction Mechanisms for In-Context Recall Symbol tuning improves in-context learning in language models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.938971Z

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=2026-08-06T20:57:50.527132Z digest=sha256:539286db6dd5b025323885ea94aba348b1f9dbf5b4d30e03a3f66c419af7a1f6

Observation c235e701-5b2f-423d-9b9b-ab38e5b64c8a · outbound

This paper cites Larger language models do in-context learning differently, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Larger language models do in-context learning differently, 2023

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.924799Z

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=2026-08-06T20:57:50.530600Z digest=sha256:15c19634a0d70d508b7922a7b419f780459191da1532b13dfe15c1a62b290e94

Observation 4f03d646-60e7-4d00-bb02-6a3de0a0c218 · outbound

This paper cites The learnability of in-context learning, 2023.

Decomposing Prediction Mechanisms for In-Context Recall The learnability of in-context learning, 2023

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.909234Z

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=2026-08-06T20:57:50.534207Z digest=sha256:f6e1f5d0f11d310c5d06e7f9261f3c811e63a0b650fc5344828c71a3b9bddca7

Observation 443613bf-e32b-4658-8855-fc8e5a97ae2c · outbound

This paper cites Bartlett.

Decomposing Prediction Mechanisms for In-Context Recall Bartlett

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.893332Z

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=2026-08-06T20:57:50.538652Z digest=sha256:4540f6b02b09d57d2d8ac2c450c008a65276437200f92d05f57351b0537a124c

Observation 9aa4c803-6d33-4dd4-81a1-bd1920753f32 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Decomposing Prediction Mechanisms for In-Context Recall An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.542232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.542232Z digest=sha256:705879d67abce35ef02ead9252c6048971fd25694aa1d2cf352cf6bcd5ce039b

Observation 8626323f-a16e-49be-9356-71764c22750d · outbound

This paper cites Which attention heads matter for in-context learning?, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Which attention heads matter for in-context learning?, 2025

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.879642Z

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=2026-08-06T20:57:50.545964Z digest=sha256:9a44be763d55113e630999131bba91db733d3a6cbaab95ab15c14c4fa2a63fb5

Observation ed80c7c0-bf72-4ce1-9cc5-baa668260520 · outbound

This paper cites Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization.

Decomposing Prediction Mechanisms for In-Context Recall Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:57:50.607902Z

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=2026-08-06T20:57:50.549945Z digest=sha256:8bd6103e9598f4362549d576e53c2cef098ec336b1a2421a4001324ffb59886b

Observation c3428b09-90c6-4d74-81e6-aecdb2189132 · outbound

This paper cites Singh, Peter E.

Decomposing Prediction Mechanisms for In-Context Recall Singh, Peter E

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.865767Z

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=2026-08-06T20:57:50.554227Z digest=sha256:07f890296b5fa93ebcde97964b537f3d3549708e65e48d257d55c564476e05f5

Observation e23d4f56-2c7b-436e-a12d-ccf86e2ee14d · outbound

This paper cites grokking.

Decomposing Prediction Mechanisms for In-Context Recall grokking

Reference 87

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T20:57:50.850211Z

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=2026-08-06T20:57:50.558118Z digest=sha256:bc0d4c9bfdce21ac864f2e7e79febf3fe9ce354816c77f4fe856fd44951f0bcd

Observation 7cf24358-5e8d-4b23-a0b3-ad11780b5920 · outbound

This paper cites tiny”, “small.

Decomposing Prediction Mechanisms for In-Context Recall tiny”, “small

Reference 89

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T20:57:50.836438Z

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=2026-08-06T20:57:50.562642Z digest=sha256:469d7c8fecd31b111877bb40253a49b15588efc15d35e502c4ad4345a90c4cd0

Observation 1d1e9eaf-2462-474c-ba00-9998e195de43 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:48.723869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:48.723869Z digest=sha256:56bf953810abcb1c28fbf43d76c4f3ee4aba203961c36049fb3abc1016f04396

Pith citing papers

No inbound Pith citation observations are available.