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Paper Citation Record · LEDGER

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.15383.

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

pith.paper-citation-record.v1
2405.15383 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 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:54.041095Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.706888Z

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 1cdfd5e7-c315-4c1b-beed-4bb4e489bf4b · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 130

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:36:24.059138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:0b5ff0f96927e7187155771f951fbebdf724c74e0fd0a9838c8ce1187cd99505

Observation a704f532-aa5d-4db1-b636-f116288a4ca5 · inbound

RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search cites this paper.

RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:53:17.564950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T12:52:03.539565Z digest=sha256:1bc558ba21d437ff280f5817b69ed2da1726b579395996dbb2518d24183e6867

Observation b0e2cb74-7bfc-47ae-88f8-399adc7e441a · inbound

Distilling Game Code World Model Generation into Lightweight Large Language Models cites this paper.

Distilling Game Code World Model Generation into Lightweight Large Language Models Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:04:44.650989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T13:58:37.956333Z digest=sha256:d5439a376ce5ebdb456674b8c784b158221c021079778f304d6c48eec1c88086

Observation 06b263ee-8510-40d9-8a7f-ffd3e204b03a · inbound

Hypothesis Generation and Inductive Inference in Children and Language Models cites this paper.

Hypothesis Generation and Inductive Inference in Children and Language Models Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:24:40.551752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T13:15:49.837211Z digest=sha256:191f95f93fffc732c962168ce0455f3dc49dbada3f23ace84a4ab30b0331e4a0

Observation fb5ff385-ad1d-481e-81ee-df7bcef1703d · inbound

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards cites this paper.

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:27:22.708569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T20:22:27.538227Z digest=sha256:5783183f51a094b31e918114aab6fd4e42b272ebe7780ece2bb46416cc1adc9c

Observation 2516298d-79c5-4bc8-baf6-210e6a32d8fd · inbound

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning cites this paper.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T03:05:32.171757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:32.171757Z digest=sha256:649309393cfaba15d6bf420164d25d0268d721b5a3801fd8834b51ee5719efd2

Observation 5b08ad98-f316-4d93-8a2a-099b3a1078de · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:54.041095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:54.041095Z digest=sha256:7b868a3a79f703acb4c05b82b55ff45dd4892b66f632defa388c26b5071d144b