Paper Citation Record · LEDGER

Bilinear Convolution Decomposition for Causal RL Interpretability

As of 12 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2412.00944.

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

pith.paper-citation-record.v1
2412.00944 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:49.092280Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

6 of 6 outbound references displayed

verified exact0
verified fuzzy1
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7cd0f961-0f24-48d1-acc7-6ebb1642d356 · outbound

This paper cites Leveraging Procedural Generation to Benchmark Reinforcement Learning.

Bilinear Convolution Decomposition for Causal RL Interpretability Leveraging Procedural Generation to Benchmark Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T04:54:49.062845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30932dcd-0afc-4cf7-b23d-1156aedd7cc6 · outbound

This paper cites IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Bilinear Convolution Decomposition for Causal RL Interpretability IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T04:54:49.069229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fe9ce05-d47c-4d6e-a664-2267b6887697 · outbound

This paper cites Bilinear MLPs enable weight-based mechanistic interpretability.

Bilinear Convolution Decomposition for Causal RL Interpretability Bilinear MLPs enable weight-based mechanistic interpretability

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T04:54:49.074872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544d5190-7ce7-4041-ad36-a735a2cfff4c · outbound

This paper cites A technical note on bilinear layers for interpretability, 2023.

Bilinear Convolution Decomposition for Causal RL Interpretability A technical note on bilinear layers for interpretability, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:54:49.212069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4f0eb27-49c5-44d0-a139-0b644c63119b · outbound

This paper cites GLU Variants Improve Transformer.

Bilinear Convolution Decomposition for Causal RL Interpretability GLU Variants Improve Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T04:54:49.086784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdeb06cd-fabd-4717-8684-477985ae0c78 · outbound

This paper cites write newline.

Bilinear Convolution Decomposition for Causal RL Interpretability write newline

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T04:54:49.092280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.