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Paper Citation Record · LEDGER

Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.00113.

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

pith.paper-citation-record.v1
2408.00113 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:29:00.166754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:23:30.734497Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c42952d9-cc2e-4a03-864c-6542b831e299 · inbound

Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks cites this paper.

Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T10:51:14.270695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:51:14.270695Z digest=sha256:b9a7d8ebdeb5ded84364b37bc7b1b022cd3129e3ca2ca80a1f55da1b01a57c94

Observation fe097f5d-d18e-4551-a47e-89f0af4336ac · inbound

Transformers Use Causal World Models in Maze-Solving Tasks cites this paper.

Transformers Use Causal World Models in Maze-Solving Tasks Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:35:02.265630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:35:02.265630Z digest=sha256:4c97a810e772e512f361a31fbdfae8c4737c2f9f1fc8af3e05c922b6ebed8a38

Observation a6d37708-16e0-4eaf-b85f-d88bc19d7689 · inbound

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders cites this paper.

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T21:17:17.170614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:17:17.170614Z digest=sha256:36cf9f4553145e74f7c09fa786252de6e1121c965ab4352a638e2ff2a978c294

Observation d367ea90-d577-4649-a855-02e4d1549107 · inbound

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework cites this paper.

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:16:43.742914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-18T18:13:01.662828Z digest=sha256:1a98fb423cc6cafc0f8681a08f7e84a1f44d256c492b92e3ee24395b37cad711

Observation 44419a21-91e6-4772-9cd8-30de81f9d430 · inbound

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations cites this paper.

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T14:23:30.736363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T14:16:44.232080Z digest=sha256:40c9333593f486e1c3100e1af4d5a70c4ff2f74cfb01b9a724b5e784b3847746

Observation fef5c1d4-da13-45a7-8185-3eb45d6f27b5 · inbound

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations cites this paper.

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T05:02:51.385870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:02:51.385870Z digest=sha256:e65ec601ba6b3ead5cabec1747540ce865f961bf3c952ba26295e5a78c5d5553

Observation 4d4e8eec-a1fb-46dd-bade-68a0900c164e · inbound

Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation cites this paper.

Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:29:00.166754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:29:00.166754Z digest=sha256:7c8b7be1107ac1fd247f8a9f3d04ccbcc089793ad6d73a7e752b17c8ee23e6bf