Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:59:10.513434Z
Paper Citation Record · LEDGER
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries?
As of 15 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2508.09631.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
75 of 75 outbound references displayed
- verified exact1
- verified fuzzy51
- unresolved23
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bd607dec-8547-48f4-b0dd-35ede7778fdd · outbound
This paper cites GPT-4 Technical Report.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:02.735673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 181a4154-1188-441c-b0b9-f6dc148e94ea · outbound
This paper cites A multi-agent deep reinforcement learning ap- proach for enhancement of covid-19 ct image segmentation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? A multi-agent deep reinforcement learning ap- proach for enhancement of covid-19 ct image segmentation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.686946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 966e747f-ad34-45d8-af67-d9a61c83606b · outbound
This paper cites Prompt augmentation for self-supervised text-guided image manipulation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Prompt augmentation for self-supervised text-guided image manipulation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.671449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3135d801-d900-4f9c-8e10-33c70d3e9cec · outbound
This paper cites Video abstracts are associ- ated with an increase in research reports citations, views and social attention: a cross-sectional study.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Video abstracts are associ- ated with an increase in research reports citations, views and social attention: a cross-sectional study
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.656857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a357561-df9d-4761-8658-9c749cd0368f · outbound
This paper cites A reinforced lunar dynamo recorded by chang’e-6 farside basalt.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? A reinforced lunar dynamo recorded by chang’e-6 farside basalt
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.640428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5a0c50d7-c2db-416c-86c5-367190e50394 · outbound
This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.624731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 46f63307-f076-434f-bf9f-f48a8a94d3b3 · outbound
This paper cites Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:03.295020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 199d7580-e496-420b-9cff-f2ef2d910461 · outbound
This paper cites Collaborating with language models for embodied reason- ing.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Collaborating with language models for embodied reason- ing
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.609264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f84f7e33-0701-43c3-9dd4-5b3433fd0d0b · outbound
This paper cites Deepseek-r1: Incentivizing reasoning capa- bility in llms via reinforcement learning, 2025.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Deepseek-r1: Incentivizing reasoning capa- bility in llms via reinforcement learning, 2025
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.594637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 66538412-dfbb-438c-b52a-3c242bf2df58 · outbound
This paper cites Lon- grope: extending llm context window beyond 2 million to- kens.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Lon- grope: extending llm context window beyond 2 million to- kens
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.578390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 69783143-aa2a-4d13-8c1f-1e325ebd2a10 · outbound
This paper cites Self- collaboration code generation via chatgpt.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Self- collaboration code generation via chatgpt
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.561366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 216ee991-b97f-4c47-b14f-4a0d28960b75 · outbound
This paper cites Cosyvoice 2: Scalable streaming speech synthe- sis with large language models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Cosyvoice 2: Scalable streaming speech synthe- sis with large language models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.544392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 04b945f9-6623-4ff2-875d-6d7bf316680d · outbound
This paper cites The Llama 3 Herd of Models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? The Llama 3 Herd of Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:04.066882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d344fde-804b-4056-9242-111ab948f51c · outbound
This paper cites Audio-visual tools in science communication: the video abstract in ecology and environ- mental sciences.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Audio-visual tools in science communication: the video abstract in ecology and environ- mental sciences
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.527114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c80ef098-ae34-4e4f-b5d3-3f1473e2129c · outbound
This paper cites ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:04.407169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe34ccfe-fae5-4d78-9899-f7342dd0d126 · outbound
This paper cites High-fidelity and freely controllable talking head video generation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? High-fidelity and freely controllable talking head video generation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.510429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8f4f9bd7-f922-4eb5-9ea8-b2e18a7635b4 · outbound
This paper cites Large language model based multi- agents: A survey of progress and challenges.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Large language model based multi- agents: A survey of progress and challenges
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.494726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bdc08d0b-710c-4f5f-8b13-a2591a832f9e · outbound
This paper cites An integrated guide for designing video abstracts using freeware and their emerging role in academic research advancement.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? An integrated guide for designing video abstracts using freeware and their emerging role in academic research advancement
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.479299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eaef8c30-fd0c-47ea-8b0a-b24477495482 · outbound
This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:04.909859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 718092d0-fba9-4d7d-bcce-2e47aa00c640 · outbound
This paper cites Video dif- fusion models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Video dif- fusion models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:05.058383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ade0a0f1-11e9-4d97-8c5e-97362c7bb3df · outbound
This paper cites Metagpt: Meta pro- gramming for a multi-agent collaborative framework.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Metagpt: Meta pro- gramming for a multi-agent collaborative framework
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.453300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5281388e-4b5f-4289-b47e-7c37e5633705 · outbound
This paper cites Inner monologue: Em- bodied reasoning through planning with language models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Inner monologue: Em- bodied reasoning through planning with language models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.437378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a78616ec-a85c-422c-95de-7d617d4c9a73 · outbound
This paper cites OpenAI o1 System Card.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? OpenAI o1 System Card
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:05.459446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91ce7756-a91a-4318-b381-6a81314b433e · outbound
This paper cites A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:05.592491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b3abde2-4ef6-4fde-baff-7fb616bf7a2e · outbound
This paper cites Agentreview: Explor- ing peer review dynamics with llm agents.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Agentreview: Explor- ing peer review dynamics with llm agents
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.421997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bbd03354-40b4-4244-81be-f43f6ff917a8 · outbound
This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Text2video-zero: Text- to-image diffusion models are zero-shot video generators
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:05.865067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f7818f5-d1a7-4ac2-a237-4cbd8515414a · outbound
This paper cites �����������������������������.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? �����������������������������
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.396207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c2ee3abd-2882-48a1-b8c4-ee5a8ea20915 · outbound
This paper cites A human-inspired reading agent with gist memory of very long contexts.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? A human-inspired reading agent with gist memory of very long contexts
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.382951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 80548bb0-0241-4358-9ae5-f0ad80d3b8ba · outbound
This paper cites Literature reviews with llm-based tools.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Literature reviews with llm-based tools
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.369545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d4de2705-9de8-4dbf-a9e3-baf1f1153087 · outbound
This paper cites Camel: Communicative agents for” mind” exploration of large language model society.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Camel: Communicative agents for” mind” exploration of large language model society
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.354116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ee0b6822-1159-40f1-aa9d-b4e9329baff4 · outbound
This paper cites an unresolved cited work.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T20:59:14.339768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b529b061-7937-4e4d-8dab-809fb88315a2 · outbound
This paper cites Long-context llms struggle with long in-context learn- ing.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Long-context llms struggle with long in-context learn- ing
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.326098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8ce3db84-1715-420f-8bb6-b4966485d396 · outbound
This paper cites ���������������������������������.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? ���������������������������������
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.311703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4f8543bb-6364-47b8-bc70-dadeb349ee1c · outbound
This paper cites �������������������������������.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? �������������������������������
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.298239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cdea6d74-196f-4a0c-9f36-b3e7098bfa17 · outbound
This paper cites Sora: Creating video from text.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Sora: Creating video from text
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.283394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 675ecbb2-3768-4bea-ac37-133ad5f94acd · outbound
This paper cites ������������������������� ���������������.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? ������������������������� ���������������
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.268148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 36bc5b4f-a87f-4d91-83a6-cf50b588a89b · outbound
This paper cites ���������������������.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? ���������������������
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.253984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b95066d2-853b-4ed3-bda8-05310409df13 · outbound
This paper cites Commu- nicative agents for software development.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Commu- nicative agents for software development
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.239715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation df772ebf-16c8-4335-9cf7-212a12b876e8 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Learning transferable visual models from natural language supervi- sion
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.224845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8ba469c0-f546-4338-8ea7-ae62ec411099 · outbound
This paper cites Hierarchical text-conditional image gener- ation with clip latents.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Hierarchical text-conditional image gener- ation with clip latents
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.208764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cf4d7d98-e1f8-44db-9cc3-ee9879a7d4e9 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? High-resolution image synthesis with latent diffusion models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:07.490409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a7d03e6-ab0d-45a2-b3ac-d338537790cc · outbound
This paper cites U- net: Convolutional networks for biomedical image segmen- tation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? U- net: Convolutional networks for biomedical image segmen- tation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:07.643324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d5c261a-ba97-4928-819e-30bfbb34506d · outbound
This paper cites The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:07.760848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e63ce154-6c21-4b1a-8759-4ce339fbf499 · outbound
This paper cites Laion- 400m: Open dataset of clip-filtered 400 million image-text pairs.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Laion- 400m: Open dataset of clip-filtered 400 million image-text pairs
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.061830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f26a784b-8600-46a9-bdb1-f95f848a721e · outbound
This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.046135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 018a5949-2663-40ac-ae79-17b7ed0c6dc7 · outbound
This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Llm-planner: Few-shot grounded planning for embodied agents with large language models
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.029876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 69fa7caa-086f-4a4a-9ca7-792b14fc5556 · outbound
This paper cites �����������������������������.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? �����������������������������
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:14.013184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 64591026-cfb8-4a07-8a53-436b4d6d3fa1 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Gemini: A Family of Highly Capable Multimodal Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:08.158182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce1a136e-9015-4c84-aac6-4decf542c6d5 · outbound
This paper cites Overview of the nlpcc2024 shared task 6: Scientific literature survey generation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Overview of the nlpcc2024 shared task 6: Scientific literature survey generation
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:13.858227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4dbe650d-73c3-488c-95e2-43c6b9b3ed71 · outbound
This paper cites Videotetris: Towards compositional text-to- video generation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Videotetris: Towards compositional text-to- video generation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:13.675738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bb6bfd49-5c7c-409b-8dcf-22d6ce01cc56 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? LLaMA: Open and Efficient Foundation Language Models
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:08.380544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41f36e07-5938-46a3-8e58-d71ff2c3ee07 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:08.432000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96c46766-2cb5-40c7-bcac-53ab418d57f3 · outbound
This paper cites SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T20:59:10.771660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d76aa040-8b3c-4188-8178-c89ddeea4cd7 · outbound
This paper cites Uhlenbeck and S.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Uhlenbeck and S
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:13.480361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4df1337d-daf8-4387-a61d-e722f0e4e568 · outbound
This paper cites Rectified diffusion: Straightness is not your need in rectified flow.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Rectified diffusion: Straightness is not your need in rectified flow
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:13.311393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 401c8b56-8787-4f4d-8d51-98a4fff38f78 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:08.785967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0725b670-8b7e-4139-bb12-b87ac3609b10 · outbound
This paper cites Videocomposer: Compositional video synthesis with motion controllability.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Videocomposer: Compositional video synthesis with motion controllability
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:08.874390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 453233f5-152a-4958-a43b-e4a6c131ba96 · outbound
This paper cites Autosurvey: Large language models can automatically write surveys.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Autosurvey: Large language models can automatically write surveys
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:13.022445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6c86c74f-a012-499b-b2b3-f8e47f6344b1 · outbound
This paper cites Genartist: Multimodal llm as an agent for unified image gen- eration and editing.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Genartist: Multimodal llm as an agent for unified image gen- eration and editing
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:12.915812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a78268f3-3348-4e57-8225-909d14a5aa92 · outbound
This paper cites ����� � � � ������ � ��� � ��� � ������������.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? ����� � � � ������ � ��� � ��� � ������������
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:12.818208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0514b448-c3f2-4472-bf65-144d56492b25 · outbound
This paper cites Art-v: Auto-regressive text-to- video generation with diffusion models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Art-v: Auto-regressive text-to- video generation with diffusion models
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:12.667767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b792cbd0-43b1-49a6-bc6c-7dea03343f89 · outbound
This paper cites A survey on llm- generated text detection: Necessity, methods, and future di- rections.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? A survey on llm- generated text detection: Necessity, methods, and future di- rections
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:12.491862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 59afe758-44f3-4f6e-b573-3f48654a272c · outbound
This paper cites DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:09.468398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fbec8e1-6d0c-46f9-b9e9-8f2fa852184d · outbound
This paper cites Dynamicrafter: Animating open-domain images with video diffusion priors.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Dynamicrafter: Animating open-domain images with video diffusion priors
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:12.327560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation adb46fcd-a11d-4ad0-93b8-01fa5b065ce2 · outbound
This paper cites Improving diffusion-based image synthesis with context pre- diction.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Improving diffusion-based image synthesis with context pre- diction
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:12.170661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 83cba100-f016-431d-a25f-537e56c8ce6f · outbound
This paper cites Mastering text-to-image diffu- sion: Recaptioning, planning, and generating with multi- modal llms.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Mastering text-to-image diffu- sion: Recaptioning, planning, and generating with multi- modal llms
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:12.002526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2a0a7d6a-653a-4692-aeca-5910134ff8f7 · outbound
This paper cites MMaDA: Multimodal Large Diffusion Language Models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? MMaDA: Multimodal Large Diffusion Language Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:09.817438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f856a5c-6af4-4d3e-8d73-9442bfd21238 · outbound
This paper cites Mora: Enabling Generalist Video Generation via A Multi-Agent Framework.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Mora: Enabling Generalist Video Generation via A Multi-Agent Framework
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:09.911612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46cd90fe-0cc2-4c21-9215-6b161393b60a · outbound
This paper cites Make pixels dance: High- dynamic video generation.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Make pixels dance: High- dynamic video generation
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:11.846403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1b96f418-426a-4e91-80b4-a1d444153c92 · outbound
This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:10.056404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87a0569a-1f1b-4005-a1fe-c37ec06cceea · outbound
This paper cites PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:59:10.143664Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77f15047-6a28-4d7a-90da-541849c436d2 · outbound
This paper cites Chatgpt research group for optimizing the crystallinity of mofs and cofs.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Chatgpt research group for optimizing the crystallinity of mofs and cofs
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:11.706694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a08dc8f5-a417-4f3d-9422-8bde7995bfc5 · outbound
This paper cites Is llm a reliable re- viewer? a comprehensive evaluation of llm on automatic pa- per reviewing tasks.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? Is llm a reliable re- viewer? a comprehensive evaluation of llm on automatic pa- per reviewing tasks
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:11.526185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 23d7e805-660b-44cc-ad7a-89a991c68b59 · outbound
This paper cites An intelligent agentic system for complex image restoration problems.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? An intelligent agentic system for complex image restoration problems
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:11.382886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 20ea2ffd-24fd-4dda-8e77-5db6753a6820 · outbound
This paper cites The impact of video abstract on citation counts: evidence from a retrospective cohort study of new journal of physics.
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? The impact of video abstract on citation counts: evidence from a retrospective cohort study of new journal of physics
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:59:11.216277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.