Paper Citation Record · LEDGER

Understanding and Controlling a Maze-Solving Policy Network

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.08043.

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

pith.paper-citation-record.v1
2310.08043 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:58:35.384058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:50:20.777244Z

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 3ba9b718-f814-42e1-981c-c1a2395b4156 · inbound

Steering Language Models With Activation Engineering cites this paper.

Steering Language Models With Activation Engineering Understanding and Controlling a Maze-Solving Policy Network

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:14:14.665851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e94b896-eb04-446a-b460-b1d900990066 · inbound

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Understanding and Controlling a Maze-Solving Policy Network

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-09T17:58:35.384058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 258da836-f76e-4070-9b77-1b6ebc2df269 · inbound

Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture cites this paper.

Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture Understanding and Controlling a Maze-Solving Policy Network

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:38.724781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8571e9ce-d497-4b00-9cb0-a2439d78b761 · inbound

Understanding Goal Generalisation in Sequential Reinforcement Learning cites this paper.

Understanding Goal Generalisation in Sequential Reinforcement Learning Understanding and Controlling a Maze-Solving Policy Network

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:50:20.781941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.