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Paper Citation Record · LEDGER

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability

As of 16 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2608.10172.

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

pith.paper-citation-record.v1
2608.10172 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:21:09.755931Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

79 of 79 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49a4b598-a31b-422c-8810-09863763f849 · outbound

This paper cites Sparse autoen- coders find highly interpretable features in language models.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Sparse autoen- coders find highly interpretable features in language models

Reference 1

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Observation 8c206410-c929-456b-a72d-81f6e6af1711 · outbound

This paper cites Improving sparse de- composition of language model activations with gated sparse autoencoders.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Improving sparse de- composition of language model activations with gated sparse autoencoders

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4e5b8c69-b8df-47a0-9af9-8733cf809267 · outbound

This paper cites Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 3

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Observation ee880cee-58d8-4538-a6c7-a57dd3ab112e · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Scaling and evaluating sparse autoencoders

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7107783e-1cbc-4f97-a6f2-58341e8d5ab0 · outbound

This paper cites Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2

Reference 5

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 074a1588-a226-40e2-b23b-e4cf115a2451 · outbound

This paper cites Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders

Reference 6

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Observation a6af0a1a-df81-4688-a73c-74ba9b4c3fe2 · outbound

This paper cites Transcoders find interpretable LLM feature circuits.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Transcoders find interpretable LLM feature circuits

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0939a737-31fa-4f21-acde-796fd39d9372 · outbound

This paper cites an unresolved cited work.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 8

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ac5f27e8-066a-4a12-a81c-adbcffeeafad · outbound

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Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2a5ef245-0f39-4b46-b51e-6b217612a31c · outbound

This paper cites Causal mediation analysis for interpreting neural NLP: The case of gender bias.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Causal mediation analysis for interpreting neural NLP: The case of gender bias

Reference 10

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 05035364-5813-4b4b-9d0c-9ae96b4b9f5d · outbound

This paper cites Locating and editing factual as- sociations in gpt.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Locating and editing factual as- sociations in gpt

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 27c5c235-4460-4210-bb30-913329576412 · outbound

This paper cites Mavor-Parker, Aengus Lynch, Stefan Heimersheim, and Adrià Garriga-Alonso.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Mavor-Parker, Aengus Lynch, Stefan Heimersheim, and Adrià Garriga-Alonso

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0fd2cc4d-a4c5-44a4-b483-ab63a5efd2de · outbound

This paper cites Attribu- tion patching outperforms automated circuit discovery.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Attribu- tion patching outperforms automated circuit discovery

Reference 13

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fdcdd205-3972-4ac9-b2ff-5583d7020ed8 · outbound

This paper cites Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms

Reference 14

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Observation 74cab79d-a110-4087-b37f-9a423274db9a · outbound

This paper cites AtP*: An efficient and scalable method for localizing LLM behaviour to components.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 15

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Observation 0fc26f99-c4d6-4669-8e4b-8e211b48e5d0 · outbound

This paper cites Causal abstractions of neural networks.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Causal abstractions of neural networks

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9a8acc2e-e2ff-496a-bc9c-5e5f6a87edc1 · outbound

This paper cites Finding align- ments between interpretable causal variables and dis- tributed neural representations.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Finding align- ments between interpretable causal variables and dis- tributed neural representations

Reference 17

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Observation 665cc190-2d7f-4a1d-b39b-02ddeb236ce4 · outbound

This paper cites Interpretability at scale: Identifying causal mechanisms in alpaca.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Interpretability at scale: Identifying causal mechanisms in alpaca

Reference 18

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0f68e8d7-5f2e-4fc5-b8a6-d27a9dc64dfb · outbound

This paper cites Safety Cases: How to Justify the Safety of Advanced AI Systems.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Safety Cases: How to Justify the Safety of Advanced AI Systems

Reference 19

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Observation 4184864a-362b-42a5-b3e5-cabde7e53b72 · outbound

This paper cites Identifying functionally important features with end-to-end sparse dictionary learning.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Identifying functionally important features with end-to-end sparse dictionary learning

Reference 20

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Observation b39137c1-d6e6-4e27-838f-4d3f4bb6b6ac · outbound

This paper cites Transcoders Beat Sparse Autoencoders for Interpretability.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Transcoders Beat Sparse Autoencoders for Interpretability

Reference 21

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Observation 71677e19-533b-488e-b8ca-d1befd51caec · outbound

This paper cites SAEBench: A compre- hensive benchmark for sparse autoencoders in language model interpretability.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability SAEBench: A compre- hensive benchmark for sparse autoencoders in language model interpretability

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ecfc3a05-4a17-40c9-a36d-484fad8610a0 · outbound

This paper cites A is for absorption: Studying feature split- ting and absorption in sparse autoencoders.Advances in Neural Information Processing Systems, 38:82318– 82355, 2026.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability A is for absorption: Studying feature split- ting and absorption in sparse autoencoders.Advances in Neural Information Processing Systems, 38:82318– 82355, 2026

Reference 23

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e3e2ea43-fa73-4c47-8c84-2aa7e1418270 · outbound

This paper cites Decomposing the dark matter of sparse autoencoders.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Decomposing the dark matter of sparse autoencoders

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 65d26c43-8c51-4fdc-95d4-036bab784a45 · outbound

This paper cites A proposal on machine learning via dynamical systems.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability A proposal on machine learning via dynamical systems

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d649e7fc-60c8-4f7e-84eb-165a02c2fde3 · outbound

This paper cites Stable architec- tures for deep neural networks.Inverse problems, 34(1):014004, 2018.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Stable architec- tures for deep neural networks.Inverse problems, 34(1):014004, 2018

Reference 26

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6d6540ea-3b03-4d10-a5cf-adacd5e7e21c · outbound

This paper cites an unresolved cited work.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 88c71fcf-a21f-4570-a18b-ae81fa5fa46a · outbound

This paper cites Hamiltonian systems and trans- formation in hilbert space.Proceedings of the National Academy of Sciences, 17(5):315–318, 1931.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Hamiltonian systems and trans- formation in hilbert space.Proceedings of the National Academy of Sciences, 17(5):315–318, 1931

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c1d7280-f530-485c-aba7-c2fbf4a5bf1f · outbound

This paper cites Spectral properties of dynamical systems, model reduction and decompositions.Nonlinear Dy- namics, 41(1):309–325, 2005.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Spectral properties of dynamical systems, model reduction and decompositions.Nonlinear Dy- namics, 41(1):309–325, 2005

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 993ab7fa-61ee-4052-b2e8-db1dcaa2ca28 · outbound

This paper cites Modern Koopman Theory for Dynamical Systems.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Modern Koopman Theory for Dynamical Systems

Reference 30

Resolution
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no resolver link, observed 2026-08-14T04:21:09.545177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 19274a8b-76b1-4f2a-9120-ab7836d7fe9f · outbound

This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread, 2021.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability A mathematical framework for transformer circuits.Transformer Circuits Thread, 2021

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5c2e0c9a-42b8-469f-8e03-6ebb55b334de · outbound

This paper cites Towards monosemanticity: Decomposing language models with dictionary learning.Transformer Circuits Thread, 2023.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Towards monosemanticity: Decomposing language models with dictionary learning.Transformer Circuits Thread, 2023

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0d93427c-f2e8-4e65-b942-3447020f93c5 · outbound

This paper cites Daniel Freeman, Theodore R.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Daniel Freeman, Theodore R

Reference 33

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Observation 184ed7ca-ba35-456c-9831-e56ef6d23464 · outbound

This paper cites Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, and Jacob Steinhardt.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, and Jacob Steinhardt

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.559571Z digest=sha256:dbe9be8c874e39c7d96e4ad4daf947458c6d6d8267dcadb9c242ff0d4f557db6

Observation bbd14504-2834-4bb3-81d8-aa2a559851bd · outbound

This paper cites Independent component analysis, a new concept?Signal processing, 36(3):287–314, 1994.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Independent component analysis, a new concept?Signal processing, 36(3):287–314, 1994

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Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.562913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.562913Z digest=sha256:0bc85a3f3b8b166b047fe67344b9ff448f2ca615af2022ae6d2f78516cc8c9eb

Observation 87ad2a15-80a1-4cc1-8279-341631a63a20 · outbound

This paper cites John Wiley & Sons, 2001.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability John Wiley & Sons, 2001

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.373540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.568917Z digest=sha256:952f0c1f6d5faa6c297ef87e9b96cf957fcb4a011f7b0b1503cc382a4ebf9150

Observation 5bb59ea8-0e66-47eb-828d-395c16192db5 · outbound

This paper cites Unsupervised feature extraction by time-contrastive learning and nonlinear ica.Advances in neural information process- ing systems, 29, 2016.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unsupervised feature extraction by time-contrastive learning and nonlinear ica.Advances in neural information process- ing systems, 29, 2016

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.359738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.574556Z digest=sha256:f87c90d2cf97160bac97423a8127584a9f009ea33500fc64ad7ed8059765ed89

Observation e5b6f5b2-b53e-4d91-9df2-5c7ea418fd92 · outbound

This paper cites Variational autoencoders and nonlinear ica: A unifying framework.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Variational autoencoders and nonlinear ica: A unifying framework

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.348558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.578407Z digest=sha256:31c87a510d809d7bd10e655ca7dbebdb40b90137b7beb16a7fcce76ac5610e30

Observation 5fdbe522-23be-4bf8-a127-aa9c001352ff · outbound

This paper cites Challenging common assumptions in the unsupervised learning of disentangled representa- tions.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Challenging common assumptions in the unsupervised learning of disentangled representa- tions

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.335313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.582698Z digest=sha256:bd62db95e9d6284a1eff89b2758f8cebe23f940eb2c210e4ca1a8ca2d13f10f2

Observation 84b03a8b-04a2-4289-bcbb-6328ead36dad · outbound

This paper cites Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634, 2021.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634, 2021

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.323470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.586442Z digest=sha256:2663f27246e6563db558972a7d3dd0fe50b064307414c4c8199a2e8dee9d4b69

Observation 9c72fa32-adf9-4d22-a88f-e8bbb7b4f504 · outbound

This paper cites System identification: Theory for the user, (ljung, l.; 1999)[on the shelf].IEEE Robotics & Automation Magazine, 19(2):95–96, 2012.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability System identification: Theory for the user, (ljung, l.; 1999)[on the shelf].IEEE Robotics & Automation Magazine, 19(2):95–96, 2012

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.311346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.591561Z digest=sha256:a0bf2581d457cc3d3fb1d218354287c5c9e43b31b4a96bfcb1d2874133c5ef2d

Observation 90594698-9c32-442f-b8a4-077c982798d1 · outbound

This paper cites A note on persistency of excitation.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability A note on persistency of excitation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.599620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.599620Z digest=sha256:cfcdfa7c97d3c155a3af1279e0a12e3c6282104e7d299beae28eda33761f4a6b

Observation 30c749e6-645d-41dc-9601-c66e5997185f · outbound

This paper cites an unresolved cited work.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:21:10.291493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.603600Z digest=sha256:a14c49c12efc1ba6fbc139c3a5a159df6013d90fa4d02a70c072f2dd93ec9ebd

Observation 933d4328-80d5-47f7-a6bc-885a9158976b · outbound

This paper cites A data-driven approximation of the koopman operator: Extending dynamic mode decomposition.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability A data-driven approximation of the koopman operator: Extending dynamic mode decomposition

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.280684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.608476Z digest=sha256:f3dd6519d6dc50c90dc86b91651e60be6cb9c7dc3584becba01b27f2887d0f0e

Observation 1aad49f7-807a-4483-8c86-23fafefef16e · outbound

This paper cites Dynamic mode decomposition with con- trol.SIAM Journal on Applied Dynamical Systems, 15(1):142–161, 2016.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Dynamic mode decomposition with con- trol.SIAM Journal on Applied Dynamical Systems, 15(1):142–161, 2016

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.267768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.612204Z digest=sha256:f98f436fb51e55adebb4fd65c40243c51a1ac7e8ac0457e3f783667d83caf794

Observation 604aeaa5-d40f-441d-b9f9-114fc8bbccbe · outbound

This paper cites Williams, Clarence W.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Williams, Clarence W

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.255406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.616093Z digest=sha256:c992f16f0e76a070977fc8976360bcdcc3aca93ebd2324dc5fd94cb594cf64ef

Observation 7ed6a76f-3659-4b34-ba95-d8ce77effb95 · outbound

This paper cites Data-driven approximation of the Koopman generator: Model reduction, system identification, and control.Physica D: Nonlinear Phenomena, 406:132416, 2020.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Data-driven approximation of the Koopman generator: Model reduction, system identification, and control.Physica D: Nonlinear Phenomena, 406:132416, 2020

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.245039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.620771Z digest=sha256:6d60a92f21cc48eb7ab28c37964f53d4e48375164cb26f6543da462f0f440683

Observation 63237595-41f4-456e-a384-0248c21b86fb · outbound

This paper cites On convergence of ex- tended dynamic mode decomposition to the Koopman operator.Journal of Nonlinear Science, 28(2):687–710, 2018.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability On convergence of ex- tended dynamic mode decomposition to the Koopman operator.Journal of Nonlinear Science, 28(2):687–710, 2018

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.233384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.624807Z digest=sha256:16f7ead2f007403b76cdba45e4f1c8c16458f8b7eac56aae283ad59e2de0a41a

Observation eac2c95e-38d1-40a8-b1b0-d3d760836595 · outbound

This paper cites Redman, Maria Fonoberova, Ryan Mohr, Ioannis G.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Redman, Maria Fonoberova, Ryan Mohr, Ioannis G

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.222194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.629618Z digest=sha256:fb4994df255460189a017f6db32c16bc2c7be62e8cf2d509688ee39dbd9718f1

Observation a600ab91-698d-4c21-913b-4d944023fc01 · outbound

This paper cites Benjamin Erichson, Vanessa Lin, and Michael W.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Benjamin Erichson, Vanessa Lin, and Michael W

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.210610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.633838Z digest=sha256:61edc9df26ba36b44368d1c4bd19b01ec9df4e26ef411d030b0249d9ed3c0144

Observation 933b46c8-1b9a-4b3b-a83d-882c3caffa27 · outbound

This paper cites Thiem, and Ioannis G.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Thiem, and Ioannis G

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.198137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.637740Z digest=sha256:b7728920280abd475aeb7645805b85dd38e8167346c087d5c6bd7a34a0350aa5

Observation 372da1f3-779f-4519-9dff-72fa4f0c8095 · outbound

This paper cites an unresolved cited work.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:21:10.185965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.641706Z digest=sha256:222f561d553cc746aaaf2655304186c5b765fdd3062167c2fd00a1f9e88aa311

Observation 6e7be994-cfca-426f-8312-31afbdd0813f · outbound

This paper cites Antoulas.Approximation of Large-Scale Dynamical Systems.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Antoulas.Approximation of Large-Scale Dynamical Systems

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.175257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.645867Z digest=sha256:483f7b744e96d13c182df42460bbcd2f5630891f26c61f6ea1ea112bcb7c28fc

Observation bf49d7f4-88c8-498f-a506-e09a17c760fc · outbound

This paper cites All optimal Hankel-norm approxima- tions of linear multivariable systems and theirl∞-error bounds.International Journal of Control, 39(6):1115– 1193, 1984.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability All optimal Hankel-norm approxima- tions of linear multivariable systems and theirl∞-error bounds.International Journal of Control, 39(6):1115– 1193, 1984

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.163367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.649308Z digest=sha256:858d270c9ec42eb0985a3526f6a0591d22ed2d79361faf902766c8951fee3a9d

Observation 489fd152-a2cf-440b-87eb-08108fb8fa7b · outbound

This paper cites Al-Saggaf and Gene F.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Al-Saggaf and Gene F

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.150042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.652780Z digest=sha256:4f6b848981e718b6212a45e6b6fd09c25e90477ce0584b55a2ddba044837fc9e

Observation 7c42f289-9b9f-490f-b95c-06c851769c67 · outbound

This paper cites Antoulas.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Antoulas

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.136633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.656143Z digest=sha256:cc8d1eee0c980e3fab31f5bd765ed1be80160572bcf023b3c05180c26d2b63b1

Observation bda785ec-dcc5-4a71-b0f4-52d35d42f429 · outbound

This paper cites an unresolved cited work.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:21:10.124848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.659817Z digest=sha256:7d34b55eeb3bffeb8b664293d35fd8e1b2bb378c9ed79d3e4e2b57107c3dd984

Observation ff16d52c-f1b6-403b-aedc-2bc588f72115 · outbound

This paper cites Attention is not all you need: Pure attention loses rank doubly exponentially with depth.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Attention is not all you need: Pure attention loses rank doubly exponentially with depth

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.112625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.667570Z digest=sha256:20621051c84b6e4daa6c1696fcec0400389fc0ef1700f0120fd33050f39172a0

Observation 3252608c-9164-4476-ab18-e04799b8dab7 · outbound

This paper cites The emergence of clusters in self- attentiondynamics.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability The emergence of clusters in self- attentiondynamics

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.099320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.679044Z digest=sha256:089a21d3f786203c25c2f4a5f5f2d139bb6f139d7c3c00dd6456049d89f00101

Observation 438a4f7a-ddd2-43d8-ac28-a6686c28adcb · outbound

This paper cites In-context learning and induction heads.Transformer Circuits Thread, 2022.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability In-context learning and induction heads.Transformer Circuits Thread, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.084119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.682987Z digest=sha256:322dcac92ec7d8a3bd3d41111e31eeb4ac15191a601691fde9a2d75c949e07e7

Observation 54586483-c9de-4266-88ab-aa66d822950b · outbound

This paper cites Zoom in: An introduction to circuits.Distill, 2020.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Zoom in: An introduction to circuits.Distill, 2020

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Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.686437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.686437Z digest=sha256:bcdd1eb3e9981cb4d2e0c9b01c6a515424d19a4a89d89ae3745c91a52bff0ec6

Observation 582517ae-80e7-4ed3-82f9-4db1e96891c3 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Progress measures for grokking via mechanistic interpretability

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.063107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.690260Z digest=sha256:123aa43beb496529028409d6d628d86f711737c603fe2b2b1c31dbce2e02204c

Observation 746cdd4e-d060-4b07-b242-e50dd378b2cc · outbound

This paper cites The Llama 3 Herd of Models.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability The Llama 3 Herd of Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.694460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.694460Z digest=sha256:30be757502d5edb839409987a4b6f569cae5290468c7db268e2d61323abc5eeb

Observation b15ea75c-33ad-4c93-a034-668a3bf04c3a · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Gemma 2: Improving Open Language Models at a Practical Size

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.698224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.698224Z digest=sha256:b09f07d0c648480510d521899661c27042949539c5e847fd39a430d1133785de

Observation a542ddda-1001-4512-9161-5fdc6e300ac3 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.702601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.702601Z digest=sha256:d46fdef7ac6e6c85200249ee5b20f30f9b79a3c7fa89315a5982a28f2f9ef8c9

Observation 85e9cc3a-77cf-4093-9d56-b3d8fd3ba7c4 · outbound

This paper cites Springer, 2nd, classics in mathematics reprint edition, 1995.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Springer, 2nd, classics in mathematics reprint edition, 1995

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.042052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.706109Z digest=sha256:b9a67c28bf894d7c73d2c9ff96ace704c7171c59ba929f6fbb2ab3e7ec411493

Observation 61ef68c1-0228-498b-a385-3232d9858bda · outbound

This paper cites Cam- bridge Series in Statistical and Probabilistic Mathe- matics.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Cam- bridge Series in Statistical and Probabilistic Mathe- matics

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.028682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.709825Z digest=sha256:afda08956ddcc99b4f20b0e49e0d511d88f6a47e82df234b7a84ec76f8eebf1d

Observation 2f892863-4936-4e2a-ab4c-f39949b0127b · outbound

This paper cites Stewart and Ji-Guang Sun.Matrix Pertur- bation Theory.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Stewart and Ji-Guang Sun.Matrix Pertur- bation Theory

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:10.012672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.714125Z digest=sha256:5512687dc11e36f9387d58d294a6580edb55640cb8362660a8890ed2478d591d

Observation 775a3624-14f0-49fd-a522-c9d91a77229b · outbound

This paper cites an unresolved cited work.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:21:09.996806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.718235Z digest=sha256:0dd13f0f446257d5455372d52cbbbbb7afa3630d65121345e2b04bf3ab65b676

Observation 48b2eafb-827f-46c2-8351-eff89d2f3214 · outbound

This paper cites Bauer and Charles T.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Bauer and Charles T

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:09.984651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.721955Z digest=sha256:3719cb903321caef2011a98b5376f6f294fc795602cefe23c018168634d47531

Observation 32badab0-9ff6-48ab-80fb-58cb68e08e75 · outbound

This paper cites an unresolved cited work.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:21:09.973095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.725720Z digest=sha256:9b563f0d305add0ba67b5df3a80f95e6069e4d49ad0ca95dd0b0e652a3b96e0d

Observation d56a14be-f614-4f2c-8629-2865b034bd07 · outbound

This paper cites An optimal bound for the spectral variation of two matrices.Linear algebra and its ap- plications, 71:77–80, 1985.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability An optimal bound for the spectral variation of two matrices.Linear algebra and its ap- plications, 71:77–80, 1985

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:09.960893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.729543Z digest=sha256:c91dc781d7a817cfe72db20672570486fa971e8a588f41ec943210ffea7a1157

Observation 2574cba3-0cd7-4191-b41d-1a88bf3c6930 · outbound

This paper cites Cambridge university press, 2012.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Cambridge university press, 2012

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.733404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.733404Z digest=sha256:6f21836d39504ad3c2438b67138d62c873a6386067df2135688f125986b057bf

Observation 84d68dcc-d683-42ba-84a4-07c21c45a4c6 · outbound

This paper cites Convergence of estimates under dimen- sionality restrictions.The Annals of Statistics, pages 38–53, 1973.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Convergence of estimates under dimen- sionality restrictions.The Annals of Statistics, pages 38–53, 1973

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:09.939636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.737087Z digest=sha256:771fe2e60120519a65a98958dfafa0ae1105691ff63e23abdc8c4e08722ed753

Observation e7c9872a-89ca-45a1-90a4-389c108e982c · outbound

This paper cites Springer Science & Business Media, 2012.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Springer Science & Business Media, 2012

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:09.927270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.740630Z digest=sha256:dcfafe4623504f7b680d43d0cb75c7a3cf981069d9978e149fd6b3a8a2ca8118

Observation 66aa01b2-cd6a-443c-947f-edd304777228 · outbound

This paper cites Springer Series in Statistics.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Springer Series in Statistics

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:09.916211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.744885Z digest=sha256:8d8896b686498fca131dc7cf7c8e857f3a91ccf36883c367fa80805862c4ab4e

Observation 09134de8-8fd8-42df-8fd0-aa1c8ec88174 · outbound

This paper cites LLM.int8(): 8-bit matrix multiplication for transformers at scale.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability LLM.int8(): 8-bit matrix multiplication for transformers at scale

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:09.903549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.748599Z digest=sha256:8a18e1fd1884533203e465ef945c3d69912c5c4e6297bdc340c064c2184f0827

Observation e73689be-85a9-4954-97a3-798fbfb2f140 · outbound

This paper cites Geometric median and robust esti- mation in Banach spaces.Bernoulli, 21(4):2308–2335, 2015.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Geometric median and robust esti- mation in Banach spaces.Bernoulli, 21(4):2308–2335, 2015

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:21:09.890052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:21:09.751900Z digest=sha256:f431f8634350b9614387f00a589c57be0b85d77e3e3335a5f15d9a56ad998bb1

Observation b83fd10e-46c3-4366-a558-123fa910c617 · outbound

This paper cites Mean estimation and regression under heavy-tailed distributions: A survey.Foundations of Computational Mathematics, 19(5):1145–1190, 2019.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Mean estimation and regression under heavy-tailed distributions: A survey.Foundations of Computational Mathematics, 19(5):1145–1190, 2019

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.755931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.755931Z digest=sha256:573e9c0936bdcc1de7aeecdfe1fa6b062fe146f935e29f6b0b9ee2d5ff55eda8

Pith citing papers

No inbound Pith citation observations are available.