Paper Citation Record · LEDGER

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.15893.

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

pith.paper-citation-record.v1
2607.15893 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:03:48.854674Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

42 of 42 outbound references displayed

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verified fuzzy0
unresolved42
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External citation measurements

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Outbound references

Observation 7e6194e3-bc1c-4a2b-89db-bb9f13d775fe · outbound

This paper cites In-context Learning and Induction Heads.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models In-context Learning and Induction Heads

Reference 1

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Observation 82083af4-ec2c-4c9c-83f4-9fa778a3ce5e · outbound

This paper cites Transformer Circuits Thread , volume=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Transformer Circuits Thread , volume=

Reference 2

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Observation faaaefc1-0879-44d9-81f8-a772e4c4e242 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 3

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Observation 4fd4a78c-9fcb-43ce-8c28-cded4f3bac53 · outbound

This paper cites Localizing Model Behavior with Path Patching.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Localizing Model Behavior with Path Patching

Reference 4

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Observation a1810705-5520-46b7-aa2e-b83c03fafc85 · outbound

This paper cites Advances in neural information processing systems , volume=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Advances in neural information processing systems , volume=

Reference 5

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Observation d03ca907-970b-41ea-987d-d76283c9e88b · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Advances in Neural Information Processing Systems , volume=

Reference 6

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Observation c1d814fb-5c45-4616-8a44-e8a44d8ba1b0 · outbound

This paper cites Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:03:45.951570Z

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Observation 00f27d28-38d6-425c-b0ea-3a241046b23f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Advances in Neural Information Processing Systems , volume=

Reference 8

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Observation bce4e71d-ab21-4e27-935e-0035675d7a37 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models arXiv e-prints , pages=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:03:46.228106Z

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Observation 00e793b8-bc00-44ed-8861-0469cf5ff3cd · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models arXiv preprint arXiv:2602.05859 , year=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:03:46.322733Z

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Observation 55817495-779b-4087-815f-f87b862b6824 · outbound

This paper cites arXiv preprint arXiv:2601.07894 , year=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models arXiv preprint arXiv:2601.07894 , year=

Reference 11

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Observation cdd6a023-0c77-498c-bc98-ac5b66d436cf · outbound

This paper cites Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models

Reference 12

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Observation fed2035d-b905-4403-970f-65a82bfc7f3a · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models arXiv preprint arXiv:2511.19152 , year=

Reference 13

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Observation 648654a7-fde0-4879-a96c-747643843aa7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Advances in Neural Information Processing Systems , volume=

Reference 14

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Observation c4c89c19-bfa6-49e6-ace6-b15aae24ce04 · outbound

This paper cites Advances in neural information processing systems , volume=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Advances in neural information processing systems , volume=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:03:46.753576Z

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Observation ce7afc13-204d-4fdd-9745-7759850b8388 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models International Conference on Learning Representations , volume=

Reference 16

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Observation 88f94a97-3fd6-4701-862c-0d3557784d85 · outbound

This paper cites International Conference on Learning Representations , volume=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models International Conference on Learning Representations , volume=

Reference 17

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Observation 6c58e250-affa-4924-9f24-39041dd3e9e2 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models International Conference on Learning Representations , volume=

Reference 18

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Observation 8d4a87b1-12ec-4bd5-bb65-7c312ae3536e · outbound

This paper cites International Conference on Learning Representations , volume=.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models International Conference on Learning Representations , volume=

Reference 19

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Observation 57e1ec8f-9a38-44c1-9854-3ebc1dbe8ca6 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Dream 7B: Diffusion Large Language Models

Reference 20

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Observation 875cec0e-ec90-458c-93c1-d5f36b375faf · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models International Conference on Learning Representations , volume=

Reference 21

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Observation 0763a10f-93ad-47f4-8df0-be35922051a6 · outbound

This paper cites Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T22:03:47.298320Z

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Observation ea7fe563-77f0-4c56-8740-a983d2100885 · outbound

This paper cites Toy Models of Superposition.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Toy Models of Superposition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T22:03:47.373718Z

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Observation 29bd2e04-a428-43d4-8bfc-13126af01676 · outbound

This paper cites Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet.

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

Reference 24

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models International Conference on Learning Representations , volume=

Reference 25

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Advances in Neural Information Processing Systems , volume=

Reference 26

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Observation fde85198-d810-4e0c-b66b-111fe5a695a4 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Progress measures for grokking via mechanistic interpretability

Reference 27

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models 2026 , month = jun, howpublished =

Reference 28

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Observation dbfe7642-9732-4edd-9462-061916c160c1 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models You can remove GPT2's LayerNorm by fine-tuning

Reference 29

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models 2022 , howpublished =

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Observation cbb94c20-245e-4626-bac5-665a2a05b737 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Advances in Neural Information Processing Systems , volume=

Reference 31

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Observation b8ff73c2-244f-4b43-a0ec-d6747016d154 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models OpenAI blog , volume=

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Observation a6b62e61-c1bf-403e-9820-55466bce3a08 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Decoupled Weight Decay Regularization

Reference 33

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Science , volume=

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Observation 2647dea8-d7da-4cbc-b378-53407812b8f9 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 35

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Observation 5a212429-21d3-478b-8b8b-61e0f03ee84a · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Nature , volume=

Reference 36

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Observation 1e48ecb1-89f7-4828-b93d-4aa2b788f028 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Mechanistic Interpretability for AI Safety -- A Review

Reference 37

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Observation 8a377723-1b9d-4f66-8caf-dd9f3961c253 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Proceedings of the 2022 CHI conference on human factors in computing systems , pages=

Reference 38

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Observation 5e851734-5997-4855-b2e6-c6c459e7fc38 · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Computational Linguistics , volume=

Reference 39

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Observation ebf14706-323d-4153-8320-a560716c1e6c · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Findings of the Association for Computational Linguistics: EMNLP 2022 , pages=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T22:03:48.686604Z

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Bidirectional Language Models Are Also Few-shot Learners

Reference 41

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Observation e5bcc2b3-1307-4936-80b1-a8cd8c53a24c · outbound

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Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models Computational Linguistics , volume=

Reference 42

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Pith citing papers

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