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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:29.127848Z

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 b2c8d8f9-8998-4e37-b8a0-0e55d7da67b6 · inbound

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design cites this paper.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T20:26:29.127848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.127848Z digest=sha256:beb8ca4ce98417b9441ced2cc309f4af08fa89a4ab2d352c71e240d98a97e480

Observation e46c3c3c-c61a-4dc6-93bf-14d15caae9ad · inbound

Generating Symbolic World Models via Test-time Scaling of Large Language Models cites this paper.

Generating Symbolic World Models via Test-time Scaling of Large Language Models Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T21:45:45.295334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:45:45.295334Z digest=sha256:f9501a885b06e8a67a1268eb62582d95452827487414d2ac2c68ebb978d3d773

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:4c79d23e57465d117615bb70dbcab46487150ed54828181ffaaa329d1092ed69

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T12:52:03.539565Z digest=sha256:109759c89e1cd64ab0b9a434de88ebaad849326b909a27d19b745e3c241e3b9f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T13:58:37.956333Z digest=sha256:25e377c47dbbae1b2bbd1d0162b0533ed992cc2a0e45423a0869c4f9388c5c85

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T13:15:49.837211Z digest=sha256:180525eb1e09f7c0fa88a2322d5195d0bc4abd95bbee47b42c6b6922fb7f7fcb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T20:22:27.538227Z digest=sha256:acb5df0a1cf020547b0e1376c6033324443f641a01eb9a02903c6e9e65b62c30

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=sha256:399c2a8f1e2ab26d9078ca12f9a9907c994506dd51b655124f06b4e486588446

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:c495ac295b5a1716101ed6a309637ef6b62dba885ebc93a535f9f4c8bbe678cd