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Paper Citation Record · LEDGER

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2411.10397.

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

pith.paper-citation-record.v1
2411.10397 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:45:19.777065Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:18:31.022982Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T20:18:31.450784Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b55bdfbd-4a98-43ca-87fc-1a38eae02d49 · outbound

This paper cites Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.549270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.549270Z digest=sha256:f2a90c849029a343cf7ead6e558d292acad1260dae4fa0e86023f9bfd0f98f03

Observation 61dbd987-a92e-44a1-9162-9fc8afc5d3bb · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.561559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.561559Z digest=sha256:ee3ff95b1486d7285739473069e748be1ba2a21717194966261e20c8f250416f

Observation 3fc0192e-eec1-4f3f-85d5-3f5ab148493e · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:45:20.476494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.567169Z digest=sha256:135bd73c927aa93d3ce6b1d428c092258ffb9894ec00b2d7db66dacbe9d2318e

Observation 47e1ee64-ea68-4c64-9754-6047c13b1ded · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.576661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.576661Z digest=sha256:6184c3e7b0ea2b4a97ff93dc787010df7b649ccf67130f04ebf1afad1cc7bd68

Observation d52736f2-af47-4904-ba30-8f8f7e614253 · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:45:20.454900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.585467Z digest=sha256:3826a2d96b472260525cfbc47b7bf97e202090b5b7dc4448cb429bbdecb4aae1

Observation 1c1ffe36-e905-4dcc-89be-bdc91c304feb · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.592947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.592947Z digest=sha256:05fe944f6e78201faa65bf475033cc39596e8435bdaf19e00662a3d213f078d9

Observation 02fcf25d-05cd-4735-ae44-b62d52b47e67 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Scaling and evaluating sparse autoencoders

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.598994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.598994Z digest=sha256:ddf5504715210343c1d96ba153b26ebc38bae4f09eba9085eaa62e9406800074

Observation 0525e6f5-55fa-40ad-a296-942785ca235e · outbound

This paper cites Evaluating Synthetic Activations composed of SAE Latents in GPT-2.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Evaluating Synthetic Activations composed of SAE Latents in GPT-2

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:45:20.231430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.606930Z digest=sha256:222e331c100a5ba2b71c8fd47ff933694dcd1056a79439ba88c1dbc72406b4db

Observation d30135d5-b274-43c5-9fa3-e2bf759c22aa · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:45:20.414275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.612646Z digest=sha256:53ba0f9eabc78fe141fcb65980003850ffcf70b6e6b84338e9fc66dd5ea2617e

Observation 954f25b0-dd46-4ed5-a973-41e1a85ce274 · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:45:20.392907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.623383Z digest=sha256:a788a3943753b85398cc81538f511e5fae29ecab207924658f08ac3ddb328d58

Observation c9b96297-d1e9-4632-b58e-b4cbff094f6d · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:45:20.359489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.629910Z digest=sha256:5d2527a3d60929e66a2ce402353bbf4ecf68e5787d41e626ab1b58eafa7f95e3

Observation e9f3c411-fec2-4efe-a787-84e450f2214b · outbound

This paper cites Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.640112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.640112Z digest=sha256:c92c7ba4a9a6a7c49039f11d40348bf082a716040876e779d33ac67f98854748

Observation 6ecf5f91-188f-493b-9de6-bc92361af7ec · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:45:20.336337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.650905Z digest=sha256:699b3aed8065cc85ed8680a07812f80c6a5b1e5f106c28101d10097838b0c273

Observation 6f5ab4d7-6d93-4f40-b98c-b6574e436a6f · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.656613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.656613Z digest=sha256:70e44db8bb1995006265ea0153588adbaceb0dfbd1df3881e2c3c54ba7dd9ddb

Observation e45010d8-e77a-4492-be6b-5609c78bc8a4 · outbound

This paper cites Efficient Dictionary Learning with Switch Sparse Autoencoders.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Efficient Dictionary Learning with Switch Sparse Autoencoders

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.665822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.665822Z digest=sha256:162e75eaa34226b11413d138a545c371d405deb2942cf6c04cb4059f941cd1ed

Observation b9707975-4f44-4618-bfef-8bed2cda3b6a · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T19:45:20.310516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T19:45:19.672565Z digest=sha256:2cd5a679a3f7516fac8426f2ded9d7d9c46ca2eaff9b362a160b7a5d6b638ac0

Observation 1e90f9ec-9985-4e8d-9b26-367a837f4bdb · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Steering Llama 2 via Contrastive Activation Addition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.678375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.678375Z digest=sha256:8ead099d6ccf605bb187cddda9e58b70f04d381c401958d8c477f4e20da5f0b7

Observation 0790984e-28c1-45fd-8b5c-cd2cd962ff66 · outbound

This paper cites The Geometry of Categorical and Hierarchical Concepts in Large Language Models.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.684648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.684648Z digest=sha256:3a74d291acac8abfef5b41f79c311046f3c8cc20b9e5d58e4fbb5b37f8891b4f

Observation fd115475-3355-4902-9a50-fe203ad678ec · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.692933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.692933Z digest=sha256:582ebc0f6448cba86141f4658221f809a3a44f5c25ccb05b594e81d40d4103ac

Observation e3749fc7-30eb-4a1c-b6a2-475d0ce47a43 · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.700933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.700933Z digest=sha256:49f6d01938e55f39b8364779f779c28b450db5f8024b792d003d1398eb1e5057

Observation fae45a25-9f29-49a1-b168-5a1c98a1bb7f · outbound

This paper cites Improving Dictionary Learning with Gated Sparse Autoencoders.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Improving Dictionary Learning with Gated Sparse Autoencoders

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.712648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.712648Z digest=sha256:cb312ea4cc20596411669eac9fbc6ea682c9caabc728cd640ab815dbb6aea0a4

Observation 86d73ac7-f590-478a-89d0-4b0f8df43730 · outbound

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

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.723321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.723321Z digest=sha256:5d4b1ab317004492669d41cbf6b33daf15a2e8c4301239ff703614670d1d431d

Observation 7b0879f4-a22b-4722-84ea-e0cc99692ae5 · outbound

This paper cites an unresolved cited work.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.730728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.730728Z digest=sha256:5815b1f0c43edb814f646316d2d2a9ee17b456ed34e6db7eb4a7a7bd4a89277e

Observation a5d1b57a-3890-4e60-bc7d-c41e19b2c4af · outbound

This paper cites Attribution Patching Outperforms Automated Circuit Discovery.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Attribution Patching Outperforms Automated Circuit Discovery

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.741219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.741219Z digest=sha256:e51ab83826cf4f36c3b70aa7fcea313b0df82a5f23572bd232b25dd2a6afd280

Observation 907b4804-6321-497d-b932-5920a585f7d1 · outbound

This paper cites Daniel Freeman, Theodore R.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Daniel Freeman, Theodore R

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.747654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.747654Z digest=sha256:847da5f088630991cc54d41f3ff1c5872e6ea7f57e077b239f0a99c119357a09

Observation 0a7234b3-e9be-4090-a1be-7556d4490e48 · outbound

This paper cites Steering Language Models With Activation Engineering.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning Steering Language Models With Activation Engineering

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.761538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.761538Z digest=sha256:9c02af6cb4397fe839ce134450116344233b48113ce7b0807aeeb89fe4b374e6

Observation 7f4cf88a-936e-4da5-b97d-f35df7820f25 · outbound

This paper cites online" 'onlinestring :=.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning online" 'onlinestring :=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.768482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.768482Z digest=sha256:4432106ef312927191b3f6bdb3b4a5b67edc6170b7ac6fda025232c12f612409

Observation 605bb4b3-bf2b-40ae-9001-9655d54ef950 · outbound

This paper cites write newline.

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning write newline

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T19:45:19.777065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:45:19.777065Z digest=sha256:3f9822fe392bb4e9b7aa86aa4183f914fe3f278b3748c4d0812089b7c83baaf0

Pith citing papers

Observation aee6e5eb-cb38-4ad8-a0ca-b5238e4a994b · inbound

Low-Rank Adapting Models for Sparse Autoencoders cites this paper.

Low-Rank Adapting Models for Sparse Autoencoders Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-09T20:18:31.468811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T20:18:31.022982Z digest=sha256:cf3082789bd10e0cb7b2d739b141a44e956f2f2f91397c939445f9ab343b290e