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Paper Citation Record · LEDGER

Stochastic Parameter Decomposition

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 11 inbound Pith citation observations for arXiv:2506.20790.

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

pith.paper-citation-record.v1
2506.20790 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:48:39.789242Z

measured 56 of 56 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:40:00.923289Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 54a6e163-e3c8-4e2d-bf1e-2a0f62b37722 · outbound

This paper cites Sanity checks for saliency maps.

Stochastic Parameter Decomposition Sanity checks for saliency maps

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:44.496432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:35.625807Z digest=sha256:5d3c9c8950acf127572e0f537ae5e36f8406cbfcbba4813a20d7f327ddedcd57

Observation e8ede1bc-94ea-4eb0-8772-c9ee9a14206b · outbound

This paper cites Compressed computation is (probably) not computation in superposition.

Stochastic Parameter Decomposition Compressed computation is (probably) not computation in superposition

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:44.268699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:35.705119Z digest=sha256:36b56ae7d878f3432effcc3ec743b253b4bc0569419be0aa529827964fe6a586

Observation 949792ff-a09c-423b-af8d-70de132f16cb · outbound

This paper cites Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition.

Stochastic Parameter Decomposition Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition

Reference 3

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no resolver link, observed 2026-08-06T22:48:35.756321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:35.756321Z digest=sha256:a3086406f1c0087e24ea8b01a0f1ca11b75d2df2ac13d7bec0a2b2b66a027dd1

Observation 473b8bdb-6098-4639-87b9-10faeaa11293 · outbound

This paper cites Towards monosemanticity: Decomposing language models with dictionary learning.

Stochastic Parameter Decomposition Towards monosemanticity: Decomposing language models with dictionary learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:44.024763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:35.895896Z digest=sha256:091d452bb9847c0dd52eceb797f6b6aca68c2c048dd94c65dc92a0dc14d34259

Observation 7b8617a8-a9e2-4799-98ea-716abd58697b · outbound

This paper cites Low-Complexity Probing via Finding Subnetworks.

Stochastic Parameter Decomposition Low-Complexity Probing via Finding Subnetworks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:35.984336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:35.984336Z digest=sha256:2bfa959d3579bfeb78978429d6715aba83bd972146b3bbb400e2c3a64c39c0aa

Observation 0e9a370f-c4fd-4341-ba3c-d2a7f2d762c7 · outbound

This paper cites Causal scrubbing: a method for rigorously testing interpretability hypotheses [redwood research], December 2022.

Stochastic Parameter Decomposition Causal scrubbing: a method for rigorously testing interpretability hypotheses [redwood research], December 2022

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:43.815871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.073851Z digest=sha256:2d80e4ebb73d342bff4935f4b240ef4fe3d6b8d5f75fc60914593820aec07e41

Observation 4ed8260f-99e3-4f45-91b2-9f77d7230966 · outbound

This paper cites A is for absorption: Studying feature splitting and absorption in sparse autoencoders, 2024.

Stochastic Parameter Decomposition A is for absorption: Studying feature splitting and absorption in sparse autoencoders, 2024

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:36.176092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:36.176092Z digest=sha256:8b6cb4112d77c5faf2475095f40ab1d425b2b670945c6431ddfaecd4602e2a0a

Observation 9ca54fbb-1180-43f0-bd80-80f9c2de34d3 · outbound

This paper cites Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition.

Stochastic Parameter Decomposition Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:48:40.556160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.262175Z digest=sha256:c9b12c6b984b40c51617ccea61e69dc6c6e1ccf74bd213777c33d429076596fa

Observation 30ca9bbe-f754-4aaf-a407-ba8b25890af0 · outbound

This paper cites Towards automated circuit discovery for mechanistic interpretability.

Stochastic Parameter Decomposition Towards automated circuit discovery for mechanistic interpretability

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:43.594566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.347016Z digest=sha256:41a5aea00374b9a4a49cdf55de0c1ca9b2470459f0eaf82abbeba6c282015d9e

Observation 7826911e-2747-48c7-9f27-7c5797062386 · outbound

This paper cites Are neural nets modular? inspecting functional modularity through differentiable weight masks.

Stochastic Parameter Decomposition Are neural nets modular? inspecting functional modularity through differentiable weight masks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:43.280267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.411885Z digest=sha256:46b7edc5b3f488d3019fb963070e2efc4c75de8064125868ab91c95723495bd5

Observation a1b0142b-b25b-42d8-928f-7a6431bbc4f5 · outbound

This paper cites Sparse autoencoders find highly interpretable features in language models.

Stochastic Parameter Decomposition Sparse autoencoders find highly interpretable features in language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:43.043824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.499233Z digest=sha256:703c6de348b70e005cd7f83c50b00760ca844ca29bfb402f13de8a211d927fb0

Observation f559adc4-cc61-48fc-bd4b-d5b0fd882561 · outbound

This paper cites Toy models of superposition, 2022.

Stochastic Parameter Decomposition Toy models of superposition, 2022

Reference 12

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no resolver link, observed 2026-08-06T22:48:36.573774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:36.573774Z digest=sha256:2e9cc82b02fd216b8a47ebd4125fad9443c5cc75b5dff0a480fd9ee7aa81072d

Observation 2ed6da7f-94bc-4eab-bcd8-1ea49fd09017 · outbound

This paper cites Fong and Andrea Vedaldi.

Stochastic Parameter Decomposition Fong and Andrea Vedaldi

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:36.643021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:36.643021Z digest=sha256:c19d4dd4e34c47d9566219a84da86e8e2959c8f30e9390fc25420e484e042a62

Observation b83af3fa-989b-4796-ad0a-96bbf770e3ba · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Stochastic Parameter Decomposition Scaling and evaluating sparse autoencoders

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:36.750490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:36.750490Z digest=sha256:b944331e00e9e7948a6d23acde824acae38542e07d96b1bb21f019f55c0b7812

Observation 5c6ddc31-b150-4dcb-9443-3c4e9822265b · outbound

This paper cites Causal abstractions of neural networks.

Stochastic Parameter Decomposition Causal abstractions of neural networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:42.776829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.822526Z digest=sha256:6f858e3bc18e68751e5dced761162dbfe48d7e5c6fed3f61a1ce5b105a95fb6d

Observation 19724892-987f-4aad-858c-ba3ba72c6d98 · outbound

This paper cites Finding alignments between interpretable causal variables and distributed neural representations.

Stochastic Parameter Decomposition Finding alignments between interpretable causal variables and distributed neural representations

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:42.506004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.926349Z digest=sha256:194765fb61ef9b6672e91e6a93f55254239147a68c3e3b4191e63a3a63c8e4cb

Observation 6badff65-d76c-4496-9dcb-d997f27ab3a3 · outbound

This paper cites Mathematical Models of Computation in Superposition.

Stochastic Parameter Decomposition Mathematical Models of Computation in Superposition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:37.023538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.023538Z digest=sha256:6dd87642e6e3955b444929dda81802d0b27f30ace0f85c49a7d37e7f169cec5a

Observation ba4199e9-e50d-48d1-8438-e06d07c89534 · outbound

This paper cites Tanh penalty in dictionary learning.

Stochastic Parameter Decomposition Tanh penalty in dictionary learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:42.264903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:37.114338Z digest=sha256:a56b70629eddb2ca7566bad2623b2976d6a912aacbddf2802eba4c9e6eedccdf

Observation 4bd9b1cd-0e62-47b6-8c04-948745103bc9 · outbound

This paper cites Auto-Encoding Variational Bayes.

Stochastic Parameter Decomposition Auto-Encoding Variational Bayes

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:37.190335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.190335Z digest=sha256:3bde585ca49269069f2e81778d0a047c75d7bb77e7fd18e6c1f934d02180aed9

Observation 730a5abb-3bfe-4ef2-9158-8b517b1b6833 · outbound

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

Stochastic Parameter Decomposition AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:37.292501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.292501Z digest=sha256:c8a9c123dab6cfe410d46fab155ccb937dc1033fbf9a25818368aad0aefc1b55

Observation 50f4f490-74c5-4fce-b7d5-385ecd300fd4 · outbound

This paper cites Sparse Autoencoders Do Not Find Canonical Units of Analysis.

Stochastic Parameter Decomposition Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:37.411622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.411622Z digest=sha256:eaa9434519aa4caea7f7c4c54a2d5a4a02a41da466f3c6b268ca5a6159aa7477

Observation fed3fb4e-67b9-4fd7-b803-621195a5ff80 · outbound

This paper cites an unresolved cited work.

Stochastic Parameter Decomposition Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:37.513934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.513934Z digest=sha256:8af2b75494e3d9b7c2ba1231d5114d8bad3bb4c7947a7c39b77669395abeb052

Observation 3b1d973c-3ace-4b73-bd42-03db5207808b · outbound

This paper cites Sparse crosscoders for cross-layer features and model diffing, October 2024.

Stochastic Parameter Decomposition Sparse crosscoders for cross-layer features and model diffing, October 2024

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:42.049990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:37.637469Z digest=sha256:71f2e7f451cca726de02a01bfafc0c3857f7c1b6d2b3dcf9293c06bd8ce80224

Observation e1de3aa5-9a2e-4ac9-8c99-61bc9acc8fdd · outbound

This paper cites Decoupled Weight Decay Regularization.

Stochastic Parameter Decomposition Decoupled Weight Decay Regularization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:37.760395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.760395Z digest=sha256:70d056a7a144d1aacdf9071750bb284d1778eab14c3a8f0734a389445295b094

Observation bdb374e0-7722-4c67-bd31-b761239b2f73 · outbound

This paper cites Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models.

Stochastic Parameter Decomposition Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:37.867934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:37.867934Z digest=sha256:66b47d6bf9083d1e7757a351801c2c336c02ffb11368646b3fea55661e4616eb

Observation 47b92a2d-d7fd-49e9-b7b7-a886adbd62bf · outbound

This paper cites Uncovering Model Processing Strategies with Non-Negative Per-Example Fisher Factorization.

Stochastic Parameter Decomposition Uncovering Model Processing Strategies with Non-Negative Per-Example Fisher Factorization

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:48:40.278105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.014428Z digest=sha256:a1f2e8dea5e970fb7d2b2368aa2009b02be26b15b9b7d18ab435717ccd7bc429

Observation ea77dc54-f757-4f79-9f4f-b874498d7399 · outbound

This paper cites The Hydra Effect: Emergent Self-repair in Language Model Computations.

Stochastic Parameter Decomposition The Hydra Effect: Emergent Self-repair in Language Model Computations

Reference 27

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unresolved
no resolver link, observed 2026-08-06T22:48:38.143529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:38.143529Z digest=sha256:c31ac352981700a2bda2b92a7e171649fea640ce8ebf215ba2eb93f2b94b929f

Observation b942730d-5491-4041-9804-2ba9daf1c118 · outbound

This paper cites SAE feature geometry is outside the superposition hypothesis.

Stochastic Parameter Decomposition SAE feature geometry is outside the superposition hypothesis

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:41.830433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.250525Z digest=sha256:ed1ec9a5410df3abd86a1616c2e0626c7faccb7d679c4d552ee69b9a32e3c624

Observation def64e53-3f7f-4e39-ab48-e6242bf5167c · outbound

This paper cites Skeletonization: A technique for trimming the fat from a network via relevance assessment.

Stochastic Parameter Decomposition Skeletonization: A technique for trimming the fat from a network via relevance assessment

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:41.620966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.320803Z digest=sha256:0d53b15721a114468bbeb7413d48f10d33d63256ad7455b73bf9fc6bab185947

Observation 00b14dc8-05a0-43d1-a9fb-2723150541b9 · outbound

This paper cites Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks.

Stochastic Parameter Decomposition Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks

Reference 30

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unresolved
no resolver link, observed 2026-08-06T22:48:38.430948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:38.430948Z digest=sha256:591a94e09c16e694a4154a7db1bea7b6eb9e8f68c3ce1207aa3ce51ceae347d4

Observation 2a64b360-5f13-4001-8f69-97f4a51e5857 · outbound

This paper cites The quest for the right mediator: A history, survey, and theoretical grounding of causal interpretability, 2024.

Stochastic Parameter Decomposition The quest for the right mediator: A history, survey, and theoretical grounding of causal interpretability, 2024

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:38.520759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:38.520759Z digest=sha256:574a832ee83a3c0484782904f8261295db807edd1c625243c83af6c19b73befe

Observation b0763e66-0360-4be6-b305-b5ea269b535b · outbound

This paper cites Taking features out of superposition with sparse autoencoders, Dec 2022.

Stochastic Parameter Decomposition Taking features out of superposition with sparse autoencoders, Dec 2022

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:41.328406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.639438Z digest=sha256:ab57a365e77b7893b992a4f41ee2cb2e138148bd053258946b60f046549caba5

Observation c51c0ec3-ae89-4f7d-9ea1-328ace5d5dc0 · outbound

This paper cites Open Problems in Mechanistic Interpretability.

Stochastic Parameter Decomposition Open Problems in Mechanistic Interpretability

Reference 33

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unresolved
no resolver link, observed 2026-08-06T22:48:38.733150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:38.733150Z digest=sha256:4949da650f078431991b95ffad37dbe2eda907aaa7fea9a52e3002d11d625720

Observation 0b7f1b08-9636-4fd8-a7f4-dbb0a77690bf · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Stochastic Parameter Decomposition Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 34

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unresolved
no resolver link, observed 2026-08-06T22:48:38.841814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:38.841814Z digest=sha256:32837574f327cd3a5f38917283c95d4b4cfd58ed782229a044ae148ccd0dc561

Observation 23190b47-15e4-4206-86b3-75f223f67a5f · outbound

This paper cites Axiomatic attribution for deep networks, 2017.

Stochastic Parameter Decomposition Axiomatic attribution for deep networks, 2017

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:38.919657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:38.919657Z digest=sha256:f715e650d1bd38bd62159051979ba09fe3aea70a7a4e832fb089659e1c43e0cc

Observation 1109f075-260e-4bd1-b91d-580ce8ab9e1a · outbound

This paper cites Attribution patching outperforms automated circuit discovery.

Stochastic Parameter Decomposition Attribution patching outperforms automated circuit discovery

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:48:39.005857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:39.005857Z digest=sha256:59a4d2c670e105f9b2e7a8b03831fb7f9a4f653ae69e7fc812c79215520ba534

Observation 004ca524-85fb-41f7-bf6b-a0ada703a170 · outbound

This paper cites true features.

Stochastic Parameter Decomposition true features

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:48:41.050413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:39.097681Z digest=sha256:1387e2780ead5ca545620f188b498723539beb2a7a25dbacc172387304d057a2

Observation 951b0ab8-6f20-4813-ab74-ec5c0e9b201e · outbound

This paper cites Investigating gender bias in language models using causal mediation analysis.

Stochastic Parameter Decomposition Investigating gender bias in language models using causal mediation analysis

Reference 38

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unresolved
no resolver link, observed 2026-08-06T22:48:39.194275Z

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source=arxiv_source observed=2026-08-06T22:48:39.194275Z digest=sha256:f049e07713f5b9838323407d6ae3be62273f7451b135f03ec13bb1957ddf8eff

Observation 33004008-74e1-4aac-af6d-2d62d86b86e2 · outbound

This paper cites Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient.

Stochastic Parameter Decomposition Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient

Reference 39

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no resolver link, observed 2026-08-06T22:48:39.266827Z

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source=arxiv_source observed=2026-08-06T22:48:39.266827Z digest=sha256:e2f35b3aadf81f22f25e7185e0f2259e1145582e2e2d39c125e518a7bee7ec08

Observation 39793d58-ccfa-490b-b150-96a62e62d4c3 · outbound

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

Stochastic Parameter Decomposition Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 40

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no resolver link, observed 2026-08-06T22:48:39.358150Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:39.358150Z digest=sha256:a49d6f37430e4f800abd9e6c72bfc059fa80bcfabd8f6a8f65d65661e710bd44

Observation 71865d85-c3cb-45d3-a446-9c2a5971dba1 · outbound

This paper cites Algebraic geometry and statistical learning theory, volume 25.

Stochastic Parameter Decomposition Algebraic geometry and statistical learning theory, volume 25

Reference 41

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no resolver link, observed 2026-08-06T22:48:39.419406Z

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source=arxiv_source observed=2026-08-06T22:48:39.419406Z digest=sha256:98dcf831449a62dfb3c41fb7bcdfc578d1f552abdbfd85a07d809bd19b27acd7

Observation c4b49939-da41-47c9-9f56-fee456421213 · outbound

This paper cites an unresolved cited work.

Stochastic Parameter Decomposition Unresolved cited work

Reference 42

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no resolver link, observed 2026-08-06T22:48:39.509945Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:39.509945Z digest=sha256:7be49759f8d17e3229572c01cc62e9f8bae1456700f13b8c098b3f80cb98c56b

Observation 9f35b20c-88a7-4496-b81f-ad8cdecb91f6 · outbound

This paper cites Addressing feature suppression in saes, Feb 2024.

Stochastic Parameter Decomposition Addressing feature suppression in saes, Feb 2024

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-06T22:48:40.825978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:39.625955Z digest=sha256:2791f311f3e0e0abc30fc81c2328cf14e7b356ac637846f5398bf800083bb305

Observation 698234ca-56f5-4be9-b715-d54f36a13c3c · outbound

This paper cites Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors.

Stochastic Parameter Decomposition Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors

Reference 44

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no resolver link, observed 2026-08-06T22:48:39.697453Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T22:48:39.697453Z digest=sha256:5026bb27f9bad6b610295462f0eb722f1ef25078697119272f9233e1df9caa5a

Observation 5dc92bdd-f68c-494a-a6f3-30569912dfa2 · outbound

This paper cites Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?.

Stochastic Parameter Decomposition Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?

Reference 45

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verified exact
local_arxiv, observed 2026-08-06T22:48:39.936402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T22:48:39.789242Z digest=sha256:4a804fb85d51be271150f07af8ce9d80271819cd999582325613f8eb92239d46

Pith citing papers

Observation d5aa0f66-4982-42ae-a757-36fb0eb11904 · inbound

Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks cites this paper.

Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks Stochastic Parameter Decomposition

Reference 8

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metadata mismatch
arxiv_id, observed 2026-05-18T18:26:43.648540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 635692dd-7338-4947-9893-7eb09eac0bed · inbound

From Mechanistic to Compositional Interpretability cites this paper.

From Mechanistic to Compositional Interpretability Stochastic Parameter Decomposition

Reference 8

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verified exact
arxiv_id, observed 2026-05-12T02:46:18.273962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 03d47bce-22fa-42a9-965e-c926d1f8f765 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Stochastic Parameter Decomposition

Reference 97

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arxiv_id, observed 2026-05-14T20:59:28.758978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T20:53:40.666929Z digest=sha256:f9177ed6ee212e6a72ca04944a7153a7ef193df586e1011bde95af243d24349d

Observation 303ffc89-cde7-48a5-aaaa-b84c663ed895 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Stochastic Parameter Decomposition

Reference 97

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metadata mismatch
arxiv_id, observed 2026-05-15T04:59:45.176858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3e71731a-7fab-48b3-a58c-8434c0db2257 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Stochastic Parameter Decomposition

Reference 97

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metadata mismatch
arxiv_id, observed 2026-05-20T21:53:47.233157Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T21:49:47.934339Z digest=sha256:1bcc39b43c4758eba767bde4c3f60b45e5a19880c0fbdef6cd414bf87968a57d

Observation ced2745a-970a-4812-a4a3-1996d6dc5a31 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Stochastic Parameter Decomposition

Reference 5

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verified exact
arxiv_id, observed 2026-05-21T07:49:50.134642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T07:46:41.159688Z digest=sha256:b3a78dc59cb8e00c8a33a276e20ec770e529b221215963353ce0d2edba54d051

Observation 49d45cba-f49b-4a55-b3e7-ae521639c81f · inbound

Building Better Activation Oracles cites this paper.

Building Better Activation Oracles Stochastic Parameter Decomposition

Reference 20

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metadata mismatch
arxiv_id, observed 2026-06-30T14:24:45.010507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T14:19:37.262201Z digest=sha256:bec97e527fbb5614d919a91cac9d31416b9fad3d10e75edab8b60844aeccb90f

Observation c9dafc5b-4505-4c87-b8e1-625ceb6dbefe · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier Stochastic Parameter Decomposition

Reference 193

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metadata mismatch
arxiv_id, observed 2026-07-03T08:57:48.282270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T10:36:09.211639Z digest=sha256:2bb7618089c4660fc8aa596eb089a46a7400db5bdba02848a9eef3eb73e7fca7

Observation 9ca8ea7a-716c-4ebb-827f-b60ab0223303 · inbound

Individual Parameters in Weight-Sparse Transformers Appear Interpretable cites this paper.

Individual Parameters in Weight-Sparse Transformers Appear Interpretable Stochastic Parameter Decomposition

Reference 2

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no resolver link, observed 2026-07-12T05:48:11.148130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:48:11.148130Z digest=sha256:653a84575f9e8c3257dbc03fb006cc2889b4e40f8b527a1cd67b1afa85101274

Observation 5735517c-11ba-426d-9c6b-f7deac5e27e6 · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Stochastic Parameter Decomposition

Reference 35

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no resolver link, observed 2026-08-02T10:39:49.545503Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:39:49.545503Z digest=sha256:0b13fa7970d259186e48dd52a40fb8f8c378240390bcf301fb45f4d9792ca653

Observation ad597dcb-af62-4e73-b2df-97c426d8dd79 · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Stochastic Parameter Decomposition

Reference 152

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