Paper Citation Record · LEDGER

Rule Synergy Analysis using LLMs: State of the Art and Implications

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2508.19484.

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

pith.paper-citation-record.v1
2508.19484 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:55:30.800658Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

verified exact0
verified fuzzy10
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dd39390-7c39-47e6-b872-ed5312ff403a · outbound

This paper cites Large language models and games: A survey and roadmap,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Large language models and games: A survey and roadmap,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.733159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3d92de-4ee5-4f42-aaf2-5e9a205bf75e · outbound

This paper cites Slay the spire,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Slay the spire,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.371854Z

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.

Observation d80a2a60-e9cb-4213-97ad-fe9bd239c3cc · outbound

This paper cites Mariogpt: Open-ended text2level generation through large language models,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Mariogpt: Open-ended text2level generation through large language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.355505Z

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.

Observation 6c3fed09-c031-46ba-9509-b7a864de1957 · outbound

This paper cites Level generation through large language models,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Level generation through large language models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.340825Z

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.

Observation 126862c1-8764-44ad-af84-48183fc2fe05 · outbound

This paper cites Cardistry: Exploring a gpt model workflow as an adapted method of gaminiscing,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Cardistry: Exploring a gpt model workflow as an adapted method of gaminiscing,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.756324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42d009a-ee29-4a60-8ff2-c2a7633011a0 · outbound

This paper cites Crawllm: Theming games with large language models,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Crawllm: Theming games with large language models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.322884Z

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.

Observation b30f80bf-c935-4bfc-ab0e-ce59b32212dc · outbound

This paper cites Roborosewater,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Roborosewater,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.304882Z

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.

Observation 1fc68b50-9911-43a1-a862-77c0823a7c00 · outbound

This paper cites Mystical tutor: A magic: The gathering design assistant via denoising sequence-to-sequence learning,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Mystical tutor: A magic: The gathering design assistant via denoising sequence-to-sequence learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.290683Z

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.

Observation e1046ff1-e431-48d8-b597-aab6e8c465bb · outbound

This paper cites Chaos cards: Creating novel digital card games through grammatical content generation and meta-based card evaluation,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Chaos cards: Creating novel digital card games through grammatical content generation and meta-based card evaluation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.264944Z

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.

Observation 5d908faf-b3d4-485f-b2fe-e73d48aa1fe3 · outbound

This paper cites Boardgameqa: A dataset for natural language reasoning with contradictory information,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Boardgameqa: A dataset for natural language reasoning with contradictory information,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.251529Z

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.

Observation 4c46efaf-3416-451c-8202-aa964a68ee5d · outbound

This paper cites Tasklama: Probing the complex task understanding of language models,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Tasklama: Probing the complex task understanding of language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.237929Z

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.

Observation 5dacab06-5136-439c-aebd-8f52d194c46a · outbound

This paper cites Language-driven play: Large language models as game-playing agents in slay the spire,.

Rule Synergy Analysis using LLMs: State of the Art and Implications Language-driven play: Large language models as game-playing agents in slay the spire,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.788217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b611178d-fea8-4f02-bda4-c868b10f8ad0 · outbound

This paper cites TRAM: Benchmarking Temporal Reasoning for Large Language Models.

Rule Synergy Analysis using LLMs: State of the Art and Implications TRAM: Benchmarking Temporal Reasoning for Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.796292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9afe53e4-1bf2-4f98-8350-8ca763ad0ac7 · outbound

This paper cites Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models.

Rule Synergy Analysis using LLMs: State of the Art and Implications Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.800658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e375a0dd-bd74-4c99-9196-ffaf1281630a · outbound

This paper cites Available: https://ojs.aaai.org/index.php/AIIDE/article/ view/12851.

Rule Synergy Analysis using LLMs: State of the Art and Implications Available: https://ojs.aaai.org/index.php/AIIDE/article/ view/12851

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:55:31.278411Z

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.

Observation 9f3cebed-15f9-436f-9628-21b29c709b7e · outbound

This paper cites Available: https://doi.org/10.1145/3582437.3587211.

Rule Synergy Analysis using LLMs: State of the Art and Implications Available: https://doi.org/10.1145/3582437.3587211

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.751275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e81be88a-1d4b-4a38-9679-56855823eeb2 · outbound

This paper cites Available: https://doi.org/10.1145/3649921.3650013.

Rule Synergy Analysis using LLMs: State of the Art and Implications Available: https://doi.org/10.1145/3649921.3650013

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.792440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.