Paper Citation Record · LEDGER

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.21839.

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

pith.paper-citation-record.v1
2506.21839 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:37.975270Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

30 of 30 outbound references displayed

verified exact3
verified fuzzy21
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 946c35a8-fa94-49f1-bb15-68d17350fc55 · outbound

This paper cites Puzzlevqa: Diagnosing mul- timodal reasoning challenges of language models with ab- stract visual patterns.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Puzzlevqa: Diagnosing mul- timodal reasoning challenges of language models with ab- stract visual patterns

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:41.741399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f773854-19c6-4bb2-b6a9-e2399a5bd75b · outbound

This paper cites Gemini 1.5 technical report, 2024.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Gemini 1.5 technical report, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:41.615461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 543b54f6-69ea-43ba-b6aa-2af615d3b072 · outbound

This paper cites Black-box Prompt Learning for Pre-trained Language Models.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Black-box Prompt Learning for Pre-trained Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:34.503232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1010381-2bc7-4151-8eac-874dc57a0c77 · outbound

This paper cites Puzzles: A benchmark for neural algorithmic reasoning.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Puzzles: A benchmark for neural algorithmic reasoning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:41.495500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c53b785b-fa06-43ea-a7a7-09cf027523e3 · outbound

This paper cites Large language models empowered agent-based modeling and simulation: A survey and perspectives.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Large language models empowered agent-based modeling and simulation: A survey and perspectives

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:41.376013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a071a0ac-c6a0-4450-8c9b-fcb461f83396 · outbound

This paper cites Chain-of-agents: Large language mod- els collaborating on long context tasks.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Chain-of-agents: Large language mod- els collaborating on long context tasks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:41.268728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62cdc3a2-1578-44be-8e51-a5f752f1b640 · outbound

This paper cites Optimizing prompts for text-to-image generation.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Optimizing prompts for text-to-image generation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:41.156819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f08b0988-97f1-4fd9-81e7-fc3c1c425313 · outbound

This paper cites Prompt-to-prompt image editing with cross-attention control.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Prompt-to-prompt image editing with cross-attention control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:41.056032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b78d455-ec05-46b2-9a0f-f2aaa46940e0 · outbound

This paper cites Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:22:38.404192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f20d7ac-0d98-4f5b-9c6a-a79d5f3da5ad · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles The power of scale for parameter-efficient prompt tuning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:40.842423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5a21a5d-befc-42b6-9b48-98317ace5895 · outbound

This paper cites Mccd: Multi-agent collaboration-based compositional diffusion for complex text-to-image genera- tion.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Mccd: Multi-agent collaboration-based compositional diffusion for complex text-to-image genera- tion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:40.672279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e63d4a6-a5aa-4e97-a72a-9fdb815a8966 · outbound

This paper cites Hunyuan-dit: A powerful multi-resolution diffusion trans- former with fine-grained chinese understanding, 2024.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Hunyuan-dit: A powerful multi-resolution diffusion trans- former with fine-grained chinese understanding, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:37.322981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe8d9f7-f33c-41be-a81f-d3ea83f8e89b · outbound

This paper cites Compositional visual generation with composable diffusion models.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Compositional visual generation with composable diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:40.525871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a36997a6-d648-4909-bc5d-697ff35e30ff · outbound

This paper cites Dynamic prompt optimizing for text- to-image generation.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Dynamic prompt optimizing for text- to-image generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:40.350748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c43521dd-ce42-4182-97de-fc58a85cce2a · outbound

This paper cites Gpt-4o technical report, 2024.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Gpt-4o technical report, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:40.162623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad90beeb-3409-4110-9c4a-84325711f900 · outbound

This paper cites Training language models to follow instructions with human feed- back.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Training language models to follow instructions with human feed- back

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:39.987802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1913383c-0188-4ca0-b75b-88d8452474df · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Generative Agents: Interactive Simulacra of Human Behavior

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:37.533570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b1d43b9-a404-43f9-a7e7-e4fda9f92728 · outbound

This paper cites Solving puzzles with an ensemble of chain-of-thought prompts.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Solving puzzles with an ensemble of chain-of-thought prompts

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:39.809420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c6c33d1c-dd97-4772-a09b-f2d3b93f99e8 · outbound

This paper cites Autoprompt: Eliciting knowl- edge from language models with automatically generated prompts.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Autoprompt: Eliciting knowl- edge from language models with automatically generated prompts

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:39.616174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e7485a5-97c6-4e0e-a6d5-c455d18d171b · outbound

This paper cites Molecularity: a fast and efficient criterion for probing superconductivity.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Molecularity: a fast and efficient criterion for probing superconductivity

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:22:38.254624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1db03cf4-b0ed-4ad3-bf56-03874186e5c9 · outbound

This paper cites Multi- modal llm as an agent for unified image generation and edit- ing.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Multi- modal llm as an agent for unified image generation and edit- ing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:39.453685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 256d0496-01e3-45a9-85f4-655e941dbce7 · outbound

This paper cites How do mul- timodal large language models handle complex multimodal reasoning? placing them in an extensible escape game, 2025.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles How do mul- timodal large language models handle complex multimodal reasoning? placing them in an extensible escape game, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:39.243063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 938217b0-e3cb-4b72-8a0f-6d2ee026fb95 · outbound

This paper cites Universal prompt optimizer for safe text- to-image generation.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Universal prompt optimizer for safe text- to-image generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:39.092792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89956f12-ef58-444e-8931-0061b6584a64 · outbound

This paper cites Planning with multi-constraints via collaborative language agents.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Planning with multi-constraints via collaborative language agents

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:38.932165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation de09dd1d-c85d-4b2f-ad64-3f8a49d63083 · outbound

This paper cites MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:37.779984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f709d8-3a45-402a-a049-1a51bc49f3f1 · outbound

This paper cites Long-CLIP: Unlocking the Long-Text Capability of CLIP.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Long-CLIP: Unlocking the Long-Text Capability of CLIP

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:37.804567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915030c8-9e92-4eae-ab4a-740437d99f3d · outbound

This paper cites Reflective multi- agent collaboration based on large language models.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Reflective multi- agent collaboration based on large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:38.732618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41218781-c19d-4ad5-b2aa-365c72b82a1b · outbound

This paper cites LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:37.891458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3fdd54-dd1b-4524-a283-3686e38e0ffd · outbound

This paper cites Migc: Multi-instance generation controller for text-to-image synthesis.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Migc: Multi-instance generation controller for text-to-image synthesis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:38.577181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 017079d2-b27c-443c-86be-8eb4d6569c44 · outbound

This paper cites Constrained Proximal Policy Optimization.

GenEscape: Hierarchical Multi-Agent Generation of Escape Room Puzzles Constrained Proximal Policy Optimization

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:22:38.095282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.