Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:53:53.489960Z digest=sha256:d431bb0f0de6c1f6c857262217257424139d2aeb3c5c654805355a6fabcdf800

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:d7968689b8393f51569ccb55f0b493d7d6e471999ca91a2ee65c577d435a1f02

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=sha256:1ed84b7e07193f326ee8b2dc88cb9e6cb69f78e2b0e7bf7b9bc98417727bbcbf

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:53:55.048927Z digest=sha256:c1050c08b35696050f5ede7099bf5440d2a42a6a48b3e97aaf9998b795548b11

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=sha256:0ea3b5be51729a43a7a5d3080542d1b783785684d81b4b0ed8a98e439080e89c

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:b6970a411035af889b183772b4f356a37841a53e1fbe74d2ab8ac3912530b829

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:53:55.223258Z digest=sha256:ddc261257a22835d5d27112309eb187ef37f393dddf6cb816565d52b6d9fb92f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:53:55.275486Z digest=sha256:9c15281acd9353fcc3e61c56d4ef84d525525304f85a2262a7b092108c77d700

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=sha256:5290601109a10f2f501b31cf5c414744f5106736a728e9dc5c227415a5723ea4

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:a630ea4cd7fe0e0ba3aa1684b545e1cdd9fc6ebf228526f96939a6c9239c5e32

Pith citing papers

No inbound Pith citation observations are available.