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Paper Citation Record · LEDGER

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.23220.

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

pith.paper-citation-record.v1
2507.23220 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:01:43.183899Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T05:17:34.283917Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T05:27:19.216176Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 546e1972-0789-4524-a298-cc4c149bbec5 · outbound

This paper cites an unresolved cited work.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:43.777425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T11:01:42.986811Z digest=sha256:f89c43d8de9d24675c209e0b83351a79d4f6a8077d5e37c7c92b438ca1f5b0a7

Observation 62d9c565-7c2b-44eb-90bc-ffb520cb2db3 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:42.757444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:42.757444Z digest=sha256:e2b3329dbf2eb056efbf6ca77a765ca3068d6f2d6aee87ca1fb068835ba113c9

Observation 7e144aa4-93b5-4823-afaa-f4facfb621ea · outbound

This paper cites InProceedings of the Conference on Language Modeling.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders InProceedings of the Conference on Language Modeling

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:44.028819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9831f7d6-5e3d-44ad-8395-0e506c1b90c1 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:42.800185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:42.800185Z digest=sha256:210381b3074977553f8df6c872f5c831f7505681359a907b22d36b4fdbc55609

Observation 5c0b4e94-ffd0-4ed1-965b-b16f3d71ff71 · outbound

This paper cites InProceedings of the Associa- tion for Computational Linguistics, pages 15504– 15522.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders InProceedings of the Associa- tion for Computational Linguistics, pages 15504– 15522

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:43.880726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2a6a9dab-b45c-427a-90a1-70433e7e25b1 · outbound

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

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Gemma 2: Improving Open Language Models at a Practical Size

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:42.927532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:42.927532Z digest=sha256:66f62c0fd0c570eb42728811d220143c641738549ec7cf34183b8297e87f4e09

Observation c1196829-9ae0-4b11-8a19-6a30b505b724 · outbound

This paper cites Steering Language Models With Activation Engineering.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Steering Language Models With Activation Engineering

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:42.943852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:42.943852Z digest=sha256:afcc6111295715f28f51728879e91309aedf9475be5d94e1b02561325123175c

Observation a47952c8-d1cc-4c69-bbc1-2451e0eca9cc · outbound

This paper cites Tianlong Wang, Xianfeng Jiao, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, and Liantao Ma.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Tianlong Wang, Xianfeng Jiao, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, and Liantao Ma

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:43.826132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T11:01:42.965142Z digest=sha256:9cd927819f9bfe6d45692946b5f149211dd3eb035f19788cb60db81fa1a3c1c0

Observation 6bcaab8c-a1de-4185-a2ef-dcec0009194f · outbound

This paper cites an unresolved cited work.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:43.733013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5cb6d29f-dafb-44c6-9c3e-897cf99fe617 · outbound

This paper cites New York.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders New York

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:43.689880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T11:01:43.028569Z digest=sha256:f748d5e40062e335bcfa2a57f4f0a433b119895d7a7da271cf5cc0a03a6a6fc4

Observation fdfe092a-3955-4dcd-88a6-ae2e7dd314ce · outbound

This paper cites an unresolved cited work.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:43.656776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aa09eff4-9611-4b4a-8007-ffe87430663b · outbound

This paper cites an unresolved cited work.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:43.619822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 99cf63ed-1a84-4dfb-bb71-c31ba8c30fc7 · outbound

This paper cites In particular, do not rely on lists in your response, or include specifics that only pertain to a few items in the topic.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders In particular, do not rely on lists in your response, or include specifics that only pertain to a few items in the topic

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:43.570541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f70c5703-505a-4605-accd-6a01ae327da7 · outbound

This paper cites What is this group of [word | feature]s about?.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders What is this group of [word | feature]s about?

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:43.527034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ff485e11-708e-4471-9636-9e2f7d586a58 · outbound

This paper cites an unresolved cited work.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:43.477118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 514c237e-6996-4bdc-a08c-45292421ba95 · outbound

This paper cites an unresolved cited work.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:01:43.430728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b11f03ff-8913-412f-a329-1eb946ae361a · outbound

This paper cites Legal terminology and concepts surrounding property rights, ownership, environmental conservation, and financial transactions in real estate and land management.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Legal terminology and concepts surrounding property rights, ownership, environmental conservation, and financial transactions in real estate and land management

Reference 22

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T11:01:43.385087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T11:01:43.183899Z digest=sha256:5981361220b7f2f75b4cbea634fc6fa4398a5539d9d459152ba6637ccb8e560e

Observation f1bb8736-3f18-4723-8a4c-a6a3817d6a2c · outbound

This paper cites InProceedings of the North American Chapter of the Association for Computational Linguistics, pages 746–751.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders InProceedings of the North American Chapter of the Association for Computational Linguistics, pages 746–751

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:43.935469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T11:01:42.842409Z digest=sha256:b98c092896f8c22707569dc77c08a801a27657e0bd834d73a9dd9bec1ab38455

Observation 0c3a6871-1ec3-4321-a7fa-d11b29b907f1 · outbound

This paper cites Leland McInnes, John Healy, Nathaniel Saul, and Lukas Großberger.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Leland McInnes, John Healy, Nathaniel Saul, and Lukas Großberger

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:43.984714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f5a8fa38-3718-4b12-9db2-5754e64ce507 · outbound

This paper cites Automatically Interpreting Millions of Features in Large Language Models.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Automatically Interpreting Millions of Features in Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:42.861396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81a341b1-be6a-445a-bb4d-fad47c5c576f · outbound

This paper cites InAd- vances in Neural Information Processing Sys- tems, volume 37, pages 49519–49551.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders InAd- vances in Neural Information Processing Sys- tems, volume 37, pages 49519–49551

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:01:44.072729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e6bc741e-30f0-4536-8181-a1c612ea749d · outbound

This paper cites Codebook Features: Sparse and Discrete Interpretability for Neural Networks.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:42.904487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:42.904487Z digest=sha256:93b22c13738c2a82b99f0b511e2952e38e45d04947b229601f88adfce4048126

Pith citing papers

Observation 11019a20-3d4a-4e82-8873-209dd6a9b528 · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T02:16:08.979484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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