Paper Citation Record · LEDGER

Stochastic Parameter Decomposition

As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 13 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 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:51:45.375704Z

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-19T06:32:44.657259+00:00.

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

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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 2026-08-19T06:32:44.657259+00:00.

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

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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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

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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

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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.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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.

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 2026-08-19T06:32:44.657259+00:00.

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.

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.

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.

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.

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 2026-08-19T06:32:44.657259+00:00.

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.

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.

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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

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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

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

Source-reported events for the cited work

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites an unresolved cited work.

Stochastic Parameter Decomposition Unresolved cited work

Reference 42

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: metadata mismatch; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Building Better Activation Oracles cites this paper.

Building Better Activation Oracles Stochastic Parameter Decomposition

Reference 20

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

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

Source-reported events for the cited work

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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

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

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T10:40:00.923289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56f7f7f-934f-4861-942b-5d96df0a3784 · inbound

Sparse Weight Decomposition for Efficient Circuit Extraction cites this paper.

Sparse Weight Decomposition for Efficient Circuit Extraction Stochastic Parameter Decomposition

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T14:51:45.375704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b39b4f-7c32-47da-917f-a272d588323e · inbound

Interpreting Language Model Hidden States at Scale cites this paper.

Interpreting Language Model Hidden States at Scale Stochastic Parameter Decomposition

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