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Paper Citation Record · LEDGER

Planning in a recurrent neural network that plays Sokoban

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.15421.

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

pith.paper-citation-record.v1
2407.15421 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:57.812580Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T00:24:22.502920Z

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 d8059930-f293-4912-8a85-531183a2883b · inbound

$K$-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks cites this paper.

$K$-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks Planning in a recurrent neural network that plays Sokoban

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:57.812580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:57.812580Z digest=sha256:94499e1ab49b2de087505b9581d03ebd7237831601245479ebaebe1cd1c7ebf4

Observation 80ed0d7a-29e3-4421-87a3-5b0b6e21cb97 · inbound

Structure and Scale in Simplicial Sequence Modelling cites this paper.

Structure and Scale in Simplicial Sequence Modelling Planning in a recurrent neural network that plays Sokoban

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:16:14.983505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T17:13:00.475488Z digest=sha256:4f81b0a003c0cc6cc8b0862b62a5e8e17aaecaab985cd519d9396c9718f68ee2

Observation 0f170d3f-aa72-4a08-85e9-776893606b77 · inbound

The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models cites this paper.

The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models Planning in a recurrent neural network that plays Sokoban

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:52:49.746258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T23:45:16.789926Z digest=sha256:7cb75911736493ed85fa07b684cee4e85eb2b3d832496af9e25f132031e62993

Observation 6c8f7c7b-d81f-4734-a283-4d133f9ab3af · inbound

Latent Programming Horizons in Coding Agents cites this paper.

Latent Programming Horizons in Coding Agents Planning in a recurrent neural network that plays Sokoban

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-08T00:24:22.505065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-08T00:17:20.154713Z digest=sha256:54ab8338a4440d1cd6ed9ad283bc1532bb840476ab4fc2ba21baedcfcf1543e0

Observation a902f4d8-9798-4d43-8998-298549eba040 · inbound

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States cites this paper.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Planning in a recurrent neural network that plays Sokoban

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T15:02:09.968163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:02:09.968163Z digest=sha256:75f4696fbf7094eb1780eb0a24cb9ca40abfe99415db73f8ce9b744f890d9b7a