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Paper Citation Record · LEDGER

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem

As of 8 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2507.09816.

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

pith.paper-citation-record.v1
2507.09816 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:55.368683Z

measured 10 of 10 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71a5c1d4-4148-4df5-9926-97b58c867f62 · outbound

This paper cites On the complexity of neural computation in superposition.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem On the complexity of neural computation in superposition

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T17:53:55.580595Z

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=2026-08-06T17:53:53.489960Z digest=sha256:b76a69a016f841c68a7db28a395053fae8b8c44111d07f4cedef3f892b8c5225

Observation f7054cad-78f1-487e-9ed0-1e8c044c18d0 · outbound

This paper cites an unresolved cited work.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:54.864366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:54.864366Z digest=sha256:8094f5c765068d3bf934c8afcae403eb29f12b865c69166093277e6ae2bfef64

Observation 9ba45641-6e74-4ebd-b363-e38974e2b928 · outbound

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

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:54.937410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:54.937410Z digest=sha256:e55fe1844e4e95ba2fca151a9d39a022ac4895ec6485360b3e4747bfdbb001cc

Observation fed9004d-08cb-43df-828b-602d9feb7eb8 · outbound

This paper cites Circuits in superposition: Compressing many small neural networks into one.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem Circuits in superposition: Compressing many small neural networks into one

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:16.748512Z

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=2026-08-06T17:53:55.048927Z digest=sha256:703fdd7cfa1ac643bf85ec6c20c4c74605257a5240be626e9219ca1aae19d513

Observation 4846ebef-888c-4a28-a56f-e011087f2e5c · outbound

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

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:55.144214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:55.144214Z digest=sha256:ce0c5a59b5245c14281838f597c6fa698f959a35b4825c4b9c5b99385e62bbb6

Observation 6817375b-02dd-4521-b3d6-5bbe2e2ef6e4 · outbound

This paper cites Toy Models of Superposition.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem Toy Models of Superposition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:55.181554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:55.181554Z digest=sha256:2442f071b1882c5c6e98cca5bda76e132e23bd042336af56acef2b5aa17c0741

Observation bfc455dc-8430-4117-92f7-3462ad8d8a86 · outbound

This paper cites Mathematical models of computation in superposition.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem Mathematical models of computation in superposition

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:16.063554Z

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=2026-08-06T17:53:55.223258Z digest=sha256:233c2d2ad04c679651afbfa45ba85a5dfd580a272a0a929be4cfda1e509973f6

Observation dc87625f-60a2-4776-ba15-1f8aac7c95fe · outbound

This paper cites What’s up with llms representing xors of arbitrary features? https://www.lesswrong.com/posts/hjJXCn9GsskysDceS/what-s-up-with-llms-representing-xors-of-arbitrary-features, 2024.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem What’s up with llms representing xors of arbitrary features? https://www.lesswrong.com/posts/hjJXCn9GsskysDceS/what-s-up-with-llms-representing-xors-of-arbitrary-features, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:53:55.863983Z

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=2026-08-06T17:53:55.275486Z digest=sha256:b311e0b20426c00f2368a84bc670078fbaa2ab11d929b49d41ea7628259f6444

Observation c7e36060-e167-4dd9-ba58-3fee1753fbbb · outbound

This paper cites The linear representation hypothesis and the geometry of large language models.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem The linear representation hypothesis and the geometry of large language models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:55.330953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:55.330953Z digest=sha256:da033622fb4b96da3921f016600acaa2f245a9981203fb5fe9215d6c1dfb4034

Observation 881f5796-2c70-4e7c-8395-272972d4f4c1 · outbound

This paper cites Polysemanticity and Capacity in Neural Networks.

Compressed Computation: Dense Circuits in a Toy Model of the Universal-AND Problem Polysemanticity and Capacity in Neural Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:55.368683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:55.368683Z digest=sha256:e0de8f56897841b2fa05d3cace2b69c4da14bd5f404bbb78b2210e01d7240134

Pith citing papers

No inbound Pith citation observations are available.