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Paper Citation Record · LEDGER

Stochastic Parameter Decomposition

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:35.625807Z digest=sha256:da35b7a57675f12e1dbdc70b54574bc8b9e8658e205a90d8a7b00b86de1846c2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:35.705119Z digest=sha256:44e5eeae846086311f71edb12845c0554f5a8f40cbf0a5995373bb74c2bb0681

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=sha256:29f9121f00ed34bae873b9f1c3d4274962c598d7ba57e89dd1f88fd9bea25083

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:35.895896Z digest=sha256:1091accda79fc67fc61875e12e573c0318381fa2814398f84fb2707832e0ac59

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

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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:ac0ae2ce0aa2285ef5051c38da1595ab5e09adc5c5d91b7b0679204cb16a8f35

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.073851Z digest=sha256:1297f1bfd25ca8ece31821f3aade1f1b015ad60ceaac51ef4b7c8b5f1596307c

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=sha256:5ee333fd69a36693c9ba23b303600a20af3ff16b7c83e9b28e9ef7f32cbab923

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.262175Z digest=sha256:7bbfedfb164dc386d7b606b03cc8fa812d70db1cdf18a62a4a2b14131aaf3d6f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.347016Z digest=sha256:f6dffb785ea87a34229170b3497f0c903f2db31fcb4e7383f4f1aeb6c9f894f5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.411885Z digest=sha256:7203f53fb2b6301b19682457c0cf6e1ca8a0cd466b016879994d7801a268db3f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.499233Z digest=sha256:42c18f1b54a03345a61cfb117b59a4d6ec21e887359447048133c89e838b2d03

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=sha256:7d0ab70528a733ca66dca744ea10a7ddcfe5c006ac4e5e5d5422043ee55129a8

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

This paper cites Fong and Andrea Vedaldi.

Stochastic Parameter Decomposition Fong and Andrea Vedaldi

Reference 13

Resolution
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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=sha256:0aee243cd548ba27b2c4a78338ae2561a1a79880589c81e0ec424ddb1e478516

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=sha256:8f24f7647321400d7c909734d8a10b2db43caf981f298f8db17d5855f6c43aa5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.822526Z digest=sha256:de63cbab8caced626f24a9ced39a810e737ab4a106e5045fd65d8c3ae61ab0b5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:36.926349Z digest=sha256:fe5ec1c5b7328b887b5e6b27929b6adfa641dd5f592486a4d8f865820a50236b

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=sha256:103a2b7f5e9602e688d188136df171ff7a745ed45ae92af141a2b965bb24771e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:37.114338Z digest=sha256:ff99e82b6f7e6035c2de793a7cc34d2614caf3e147460d57481b72b50dc2b77f

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

This paper cites Auto-Encoding Variational Bayes.

Stochastic Parameter Decomposition Auto-Encoding Variational Bayes

Reference 19

Resolution
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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=sha256:671b85cccb0c08eef6938ac6d9dc5d8bfadeb4c3ac4313c9fed6f88f032f97c6

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:fe3f02693c0fcbac46788417d807f32154252df0ab3fe168d33477dcb19fc652

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:f4c31eb67513c2922fdc34f1169c75261e51efc3207066e11b5d8cd1bab4938a

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:c794587f533027307a3e3dfbac460657c5ac66e27a1dfbd42d8f31601ac7730e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:37.637469Z digest=sha256:3955f8cce73f66c63bc9ed661053dc9f9b4051baeb80276d2ff6a248ffa18f28

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=sha256:0bc4ac70647e8062ec0e8865888ecd9b0399fd7496c2edb4ddfe076c2453432f

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:cd69a0af52fd65577a0311b35970f49967dae243eca5e44a347515ce98cfc7b1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.014428Z digest=sha256:276dd5d3a7bad4fd34da289bae132c4ea7f77aa1701824e91f1d04bfdc816c5e

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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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=sha256:856abe2e6d7e378ae9f651219ab7a9cfc891b96fe2436fec857846f6b4bca669

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.250525Z digest=sha256:a2dab56c934c9444cb0046509978f791ac41a1eba5ef2720f01f37be7cea9191

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.320803Z digest=sha256:966f3d354bac9ae04a6c3e1d69a85e48679c124dab895e969a700da450a59062

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=sha256:26b5747f988f37ac991de256bc847b65cd1774cf46f0ae5b67827021f812b592

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=sha256:2623626c7f858ff5058daf4e60178f61e777f1bf2698b013ec89049d6f700adb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:38.639438Z digest=sha256:104cf3ac6b20b0c0dcc58f5df756a3484a955199ed99a1859f39e9d8303728e1

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=sha256:0b6a4f514ca6cdd37b1e9c4107c98375f9f701938e420b759d1a378433ed26dc

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:eefd872065799dc93fac081c4313de7dbf060317c7316ec107303001ef50881d

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

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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:cbb053bba04847c49170eaec34106514ed2a450f8397aa5a3432dbb30bde495f

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:dcbeec0bd7d1d8095ab3a7064b281b4a3f606f2337523fbfb77ade737637a171

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:39.097681Z digest=sha256:5f8c93ff0dad41b9e0af83c965763e55e082196f9bbe5923d5e098e11a68caef

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:39.194275Z digest=sha256:7ca85c25710179c72498f6acbaef2ff404a2ab1bac67592ebd572b8eca6b3bd9

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=sha256:2dc65737e230b2119d18e38b1496c7aadb80ae26ea0b793f75949f66bbfc2ecc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:39.358150Z digest=sha256:01d8c1595c9ed6de1914a2878c54617f47da3422be2b1de5158d18b4eccd8f6d

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:39.419406Z digest=sha256:117d25dc1c50aea137136ee5c88fadd57fe9dd236fab741f75be1d35d7ed5d8e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:48:39.509945Z digest=sha256:282c3e01d50c021c8a82eb07fc371cc1d72be15871c2c99d437adfae3710b998

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:39.625955Z digest=sha256:94da32f44a8c7870d482a94e922840c2042fbc25e8bbcf419e0f2cc9d9f41bcc

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=sha256:3793d090dfd25349c67cfcd6096fd78ced954d2b81f966baef5313ed154d8cd7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:48:39.789242Z digest=sha256:54cbba412cf0475c7f3d9d4fe9c9af5b5dc289e672e42b616f6078a62131e86f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:25:25.751119Z digest=sha256:cdb3d6de4622a99608879119dac6c2ffd637ebb0ff3cd45427fec1e06387c252

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T02:42:26.173782Z digest=sha256:951ad91e37d9d43b5c7d57532c217d3b6030d50a26b35aa352d18a9e7ae5697b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T20:53:40.666929Z digest=sha256:fc413e3b056f31b2dde523f2220fa30ac7d2ebaa80dc62bda2ea57c854b2925e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T04:59:11.877068Z digest=sha256:d50b866be56f64b06db1f648da46244e81c3977487db4f77011e8f7292b91a11

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

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-20T21:49:47.934339Z digest=sha256:7c54e0fbd0da4ac0e5d6a8384d8c38f4871f05d242e65bee168ab2a9db95cc7b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T07:46:41.159688Z digest=sha256:222d8bfc2684b1762346aa80d7fe9590d3f6c12275776472f95259d606a7707b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T14:19:37.262201Z digest=sha256:0b19bb8ddc9ecdb79c6f3b4136eee7119e2e44694518d4d712ce8375e6c78fb2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:36:09.211639Z digest=sha256:bf7fccece0c6dd6455f4a58c4520d14013232aa06a92564c8c62c257c5322be1

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=sha256:5cdeefead7fd52b1a6f3ee7fb489052fc80c7c2be17f01fdada36e9a9507ba33

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:c2c4fae128d8ac7c083c179904db9305733c9e0ff4c966912410a08c387fecbd

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:40:00.923289Z digest=sha256:938eb47e6f120a7f59ac4774f029380cf29bd6fa5fedb9348bdc1eb28602cc19