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Paper Citation Record · LEDGER

An Analysis of Residual-Stream Geometry Across Transformer Depth

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.18348.

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

pith.paper-citation-record.v1
2607.18348 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:18:50.510324Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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

measured 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

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a9b4c0a-05e4-4bfd-a511-00cf6375a980 · outbound

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

An Analysis of Residual-Stream Geometry Across Transformer Depth Advances in neural information processing systems , volume=

Reference 1

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source=arxiv_source observed=2026-08-01T17:18:44.902877Z digest=sha256:fc91c349baea6c6d0eb444666ccd199172a77dc80420e7ac86a17936b062a32e

Observation 6250a2e1-3dde-4b5d-ba0e-b62f793ffa87 · outbound

This paper cites Open Problems in Mechanistic Interpretability.

An Analysis of Residual-Stream Geometry Across Transformer Depth Open Problems in Mechanistic Interpretability

Reference 2

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source=arxiv_source observed=2026-08-01T17:18:44.974316Z digest=sha256:5b6b042c3fb38a361deefd8b562a169e074826552d544f89a53babdb1e1e893e

Observation 124d3c83-e9cf-4bb3-b448-731dfcd69b8b · outbound

This paper cites AI and Ethics , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth AI and Ethics , volume=

Reference 3

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source=arxiv_source observed=2026-08-01T17:18:45.084453Z digest=sha256:dcfaddd93bab804ca58b14034586596cac8d5e43d1d88edc3eb1255b11fa363e

Observation 90308481-7946-483b-92a8-8f952fa0e310 · outbound

This paper cites Frontiers of Computer Science , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Frontiers of Computer Science , volume=

Reference 4

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Observation 4b9b8bf8-cb0b-4c98-a746-6e968b704ec5 · outbound

This paper cites Transactions on Machine Learning Research , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Transactions on Machine Learning Research , year=

Reference 5

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source=arxiv_source observed=2026-08-01T17:18:45.248973Z digest=sha256:3b038afbf8d1ab265349c9d6f77e4bc0ff9787142e21e5151f059770620e1b6f

Observation ff9b7137-35fc-4a45-b0ba-8064ef1c65a8 · outbound

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

An Analysis of Residual-Stream Geometry Across Transformer Depth Advances in Neural Information Processing Systems , volume=

Reference 6

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source=arxiv_source observed=2026-08-01T17:18:45.354433Z digest=sha256:1806f97cebe0c0afd4b87d8bd8fa75bed1f6b3d7fbf7521751efbed8b54f28cf

Observation 04fe235d-1103-4f29-989c-731c56d280d5 · outbound

This paper cites The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks.

An Analysis of Residual-Stream Geometry Across Transformer Depth The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks

Reference 7

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source=arxiv_source observed=2026-08-01T17:18:45.439584Z digest=sha256:c63aae7569a8b625e7875179e1f1b3dd6fcdc02ba92193e5e26fdf8de0d6c8d2

Observation 4761ebac-9960-4684-a86a-fe81d878b9f9 · outbound

This paper cites Distill , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Distill , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T17:18:45.573671Z digest=sha256:6e5bca705f90863862600a466a1ebe0413dc81d242b041876446ddc902fc92e8

Observation 897e15ca-5038-4beb-94ee-13600ca84266 · outbound

This paper cites Transformer Circuits Thread , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Transformer Circuits Thread , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T17:18:45.705557Z digest=sha256:3c03f6b1458db2abdbfc6753dfcab4375a684640e68e7656d38da3151a99a8c3

Observation 5e9263ee-5354-468f-9a67-0a8c3c685596 · outbound

This paper cites Distill , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Distill , volume=

Reference 10

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source=arxiv_source observed=2026-08-01T17:18:45.843224Z digest=sha256:97523aba9c65ca6167220c3063e658d9532b022cf5f8bd0baea74e99a75ce696

Observation 13c55512-844c-4396-b41e-dc71132e9fbe · outbound

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

An Analysis of Residual-Stream Geometry Across Transformer Depth International Conference on Learning Representations , volume=

Reference 11

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source=arxiv_source observed=2026-08-01T17:18:45.960547Z digest=sha256:ab7b0c768b2300451fcc2214902e282351d2bc8bf763ab9be94ca909fffc84de

Observation 665358f2-09c7-4a5f-8bdf-2962d35405c7 · outbound

This paper cites arXiv preprint arXiv:2509.17665 , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth arXiv preprint arXiv:2509.17665 , year=

Reference 12

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source=arxiv_source observed=2026-08-01T17:18:46.030842Z digest=sha256:296c07b113ee9e0c0876a0f4f2acc1f1b7226c724bce9cb929567f3f22d1f5f9

Observation f59a1abe-b344-45f0-80b0-fa12d6865efa · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

An Analysis of Residual-Stream Geometry Across Transformer Depth Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 13

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source=arxiv_source observed=2026-08-01T17:18:46.139505Z digest=sha256:f05878289a8118e61844e98723d6578203e358375c35fc4e7d783f574741b92e

Observation a6965469-5c24-4c22-b87b-39321f28988a · outbound

This paper cites LessWrong , year =.

An Analysis of Residual-Stream Geometry Across Transformer Depth LessWrong , year =

Reference 14

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source=arxiv_source observed=2026-08-01T17:18:46.266194Z digest=sha256:9ad6d4ded30f022054382a11c517a692f1bed99d3f92a548ff52ba81f9a54fd5

Observation 16c88220-63d7-4ac6-99e5-0e47e996f7c6 · outbound

This paper cites International conference on machine learning , pages=.

An Analysis of Residual-Stream Geometry Across Transformer Depth International conference on machine learning , pages=

Reference 15

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source=arxiv_source observed=2026-08-01T17:18:46.447474Z digest=sha256:ef49a469dba3eaae832e9c90f5583bbc0b1abf12cb1a9d12fa2fb16d8eb8dde7

Observation 3318b3dd-84e8-49c9-828c-24395cd9c6aa · outbound

This paper cites Psychometrika , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Psychometrika , volume=

Reference 16

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source=arxiv_source observed=2026-08-01T17:18:46.619663Z digest=sha256:01488fdc29c2518be0b2f0c1a464eb25b43a57fdcc3eda3d262ce781587c3f48

Observation 5b714b6d-ec4a-4180-868e-aecf70d0512c · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 17

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Observation 05a811e1-9b51-41ef-be92-e4d6ccc9f880 · outbound

This paper cites and Tu, Zhuowen and Bergen, Benjamin K.

An Analysis of Residual-Stream Geometry Across Transformer Depth and Tu, Zhuowen and Bergen, Benjamin K

Reference 18

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source=arxiv_source observed=2026-08-01T17:18:46.939290Z digest=sha256:12c4a7f6413af97b540053bd740c43bf7d79f08004eae58491ef3bd8b0b8ef2e

Observation 60b83a24-b3b4-4f27-ab21-6dffba4ea070 · outbound

This paper cites Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks.

An Analysis of Residual-Stream Geometry Across Transformer Depth Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks

Reference 19

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-01T17:18:47.064982Z digest=sha256:da0a702aea3a6cb18a7a1eb3f623a0feeabbeb3fe0d67873d2adce8b614c19e0

Observation 68da20d8-e22a-4811-84de-b25da716fcb1 · outbound

This paper cites ICLR 2025 Workshop on Building Trust in Language Models and Applications , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth ICLR 2025 Workshop on Building Trust in Language Models and Applications , year=

Reference 20

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source=arxiv_source observed=2026-08-01T17:18:47.179060Z digest=sha256:356a9e5c5ddc5a911f704744cecdeb135a70319cfeb828dee7fda3f20d64c33e

Observation 5e141560-b69f-46eb-a64d-39d513bbda90 · outbound

This paper cites Shared Doubt: Zero-Shot Cross-Lingual Confidence Estimation for Language Models.

An Analysis of Residual-Stream Geometry Across Transformer Depth Shared Doubt: Zero-Shot Cross-Lingual Confidence Estimation for Language Models

Reference 21

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source=arxiv_source observed=2026-08-01T17:18:47.297054Z digest=sha256:86715686345488fdb57efde297f56f0d9d7fa4b43fb3a1b5b8f902669f6461c4

Observation 5d69389e-fd27-4f84-ab51-65c4b8cc4c55 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth The Eleventh International Conference on Learning Representations , year=

Reference 22

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Observation d4374898-b816-4792-82c4-295240926a21 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 23

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Observation 404386a4-a355-45fb-a039-5bd9b2f61636 · outbound

This paper cites arXiv preprint arXiv:2510.09782 , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth arXiv preprint arXiv:2510.09782 , year=

Reference 24

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Observation b16559cb-6754-46bd-b120-0e2e8d905238 · outbound

This paper cites Annual review of condensed matter physics , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Annual review of condensed matter physics , volume=

Reference 25

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source=arxiv_source observed=2026-08-01T17:18:47.758755Z digest=sha256:4a1110d7b5f76cec7e3dd86adbe68d72346870ace56599918a34f4b84a5c52a4

Observation 334a1076-ea77-4a3f-a9a7-0d1ef894a56d · outbound

This paper cites Scientific Reports , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Scientific Reports , year=

Reference 26

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Observation 486dbb3a-dbae-4d80-87b3-8385c881c68c · outbound

This paper cites The Geometry of Tokens in Internal Representations of Large Language Models.

An Analysis of Residual-Stream Geometry Across Transformer Depth The Geometry of Tokens in Internal Representations of Large Language Models

Reference 27

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source=arxiv_source observed=2026-08-01T17:18:48.117132Z digest=sha256:adaaad7329093a3277424f754143d8fdce44f15137588e38f4a65335db0d27ab

Observation 4d9f86d6-523b-4a33-b7c6-1784774d8c0f · outbound

This paper cites International conference on machine learning , pages=.

An Analysis of Residual-Stream Geometry Across Transformer Depth International conference on machine learning , pages=

Reference 28

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Observation 026a5f1b-6813-483b-8362-2fbf188f5ab5 · outbound

This paper cites , author=.

An Analysis of Residual-Stream Geometry Across Transformer Depth , author=

Reference 29

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source=arxiv_source observed=2026-08-01T17:18:48.335278Z digest=sha256:defc98102b9843237824ae80a884d25fe45d3bf3681bf1e600b2f8c40d29239f

Observation 6c7d9b7b-acdd-4df4-bb8b-42cb9ba56a58 · outbound

This paper cites Transformer Dynamics: A neuroscientific approach to interpretability of large language models.

An Analysis of Residual-Stream Geometry Across Transformer Depth Transformer Dynamics: A neuroscientific approach to interpretability of large language models

Reference 30

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Observation 3f884095-6b48-40e8-8881-24bb51694bd0 · outbound

This paper cites arXiv preprint arXiv:2603.01326 , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth arXiv preprint arXiv:2603.01326 , year=

Reference 31

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source=arxiv_source observed=2026-08-01T17:18:48.576060Z digest=sha256:dd635a36e77a16d0a415d86690080c7c31b6528085763e50edddf48718d5fc98

Observation 48efb0c0-9f0b-4ca9-8b20-9532fbdc1cc8 · outbound

This paper cites arXiv preprint arXiv:2601.22364 , year=.

An Analysis of Residual-Stream Geometry Across Transformer Depth arXiv preprint arXiv:2601.22364 , year=

Reference 32

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Observation 717dd4ba-329a-459b-822d-36e05a1ecce5 · outbound

This paper cites an unresolved cited work.

An Analysis of Residual-Stream Geometry Across Transformer Depth Unresolved cited work

Reference 33

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Observation 630bba11-fd02-478f-a1ad-363afd77bd5a · outbound

This paper cites E uroparl: A Parallel Corpus for Statistical Machine Translation.

An Analysis of Residual-Stream Geometry Across Transformer Depth E uroparl: A Parallel Corpus for Statistical Machine Translation

Reference 34

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Observation 0cd16d97-5b14-4337-a104-a939cc5bc683 · outbound

This paper cites Acta Crystallographica Section A: Crystal Physics, Diffraction, Theoretical and General Crystallography , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Acta Crystallographica Section A: Crystal Physics, Diffraction, Theoretical and General Crystallography , volume=

Reference 35

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Observation 2b1b69e9-cd55-47f1-80ea-2a1f232ddc37 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

Reference 36

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Observation 089b1be5-6a63-43eb-99e8-3b9c00c38372 · outbound

This paper cites Journal of Mathematical Imaging and Vision , volume=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Journal of Mathematical Imaging and Vision , volume=

Reference 37

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Observation ec13c513-29f1-4aec-8a9d-75979ff0bfa7 · outbound

This paper cites 1998 , publisher=.

An Analysis of Residual-Stream Geometry Across Transformer Depth 1998 , publisher=

Reference 38

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Observation 7ee82d56-3d92-4fed-af89-4f6b9874506f · outbound

This paper cites 2001 , publisher=.

An Analysis of Residual-Stream Geometry Across Transformer Depth 2001 , publisher=

Reference 39

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This paper cites 15th European Signal Processing Conference , pages=.

An Analysis of Residual-Stream Geometry Across Transformer Depth 15th European Signal Processing Conference , pages=

Reference 40

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

An Analysis of Residual-Stream Geometry Across Transformer Depth International Conference on Learning Representations , volume=

Reference 41

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Observation 36db732b-c580-48bd-8799-3999ee1dadf4 · outbound

This paper cites How Contextual are Contextualized Word Representations? C omparing the Geometry of BERT , ELM o, and GPT -2 Embeddings.

An Analysis of Residual-Stream Geometry Across Transformer Depth How Contextual are Contextualized Word Representations? C omparing the Geometry of BERT , ELM o, and GPT -2 Embeddings

Reference 42

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Observation 1c920d50-4985-44d0-93cc-71e50eecbffd · outbound

This paper cites Universal Transformers.

An Analysis of Residual-Stream Geometry Across Transformer Depth Universal Transformers

Reference 43

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Observation 9d7bebb1-3335-4f12-a42f-bb469d64e063 · outbound

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

An Analysis of Residual-Stream Geometry Across Transformer Depth Advances in Neural Information Processing Systems , volume=

Reference 44

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

An Analysis of Residual-Stream Geometry Across Transformer Depth International Conference on Learning Representations , volume=

Reference 45

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Observation 578b1502-a934-4939-ad0f-f1f560b4e1ff · outbound

This paper cites Proceedings of the 58th annual meeting of the association for computational linguistics , pages=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

Reference 46

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Observation e83f9c6a-2cbb-430f-8032-0b2c6318ae68 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

An Analysis of Residual-Stream Geometry Across Transformer Depth Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 47

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Observation 180bd064-6b44-40c2-b771-7c1541f61869 · outbound

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

An Analysis of Residual-Stream Geometry Across Transformer Depth Advances in neural information processing systems , volume=

Reference 48

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Pith citing papers

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