Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:20.164955Z
Paper Citation Record · LEDGER
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.11600.
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 2026-08-07T06:34:17.273281+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
54 of 54 outbound references displayed
- verified exact11
- verified fuzzy24
- unresolved17
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 95ea8c9d-9e4c-416d-8065-69decd5ec69d · outbound
This paper cites MLModeler5@ Causal News Corpus 2023: Us- ing RoBERTa for Casual Event Classification.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news MLModeler5@ Causal News Corpus 2023: Us- ing RoBERTa for Casual Event Classification
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.157022Z
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.
Observation 9bffe9cf-ee3b-4a63-9c48-ae6e15bde72d · outbound
This paper cites Investigating Causal Reasoning in Large Language Models.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Investigating Causal Reasoning in Large Language Models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.146794Z
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.
Observation 44844602-0398-4b65-9b5f-954ac92e6069 · outbound
This paper cites The role of causality in explainable artificial intelligence.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news The role of causality in explainable artificial intelligence
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:19.992573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72796c67-8960-4cae-b5e9-6ae88d33bf21 · outbound
This paper cites Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:19.996254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 508c399c-ace8-4152-bba3-520155b2b6d7 · outbound
This paper cites CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.136108Z
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.
Observation 4d5a354a-6488-461a-9f54-c20d33929579 · outbound
This paper cites Using Natural Language Processing to Extract Health-Related Causality from Twitter Messages.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Using Natural Language Processing to Extract Health-Related Causality from Twitter Messages
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.004152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e43c0a74-479d-4df7-9fc9-b5ecb12fefce · outbound
This paper cites HeadlineCause: A Dataset of News Headlines for Detecting Causalities.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news HeadlineCause: A Dataset of News Headlines for Detecting Causalities
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:07:20.702081Z
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.
Observation 6a4c1a58-1b4a-4edc-9b07-f06b07d97c0e · outbound
This paper cites Causality for Trustworthy Artificial Intelligence: Status, Challenges, and Opportu- nities.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causality for Trustworthy Artificial Intelligence: Status, Challenges, and Opportu- nities
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-07T04:07:20.294993Z
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.
Observation 9bb276d8-356c-43b1-bbfa-7d10a89405f8 · outbound
This paper cites ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.125521Z
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.
Observation 859a16d5-2375-4c28-831d-f4cde1bd2380 · outbound
This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.021125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a140c81e-c2de-44e2-9aff-1d91d0ea16b5 · outbound
This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Retrieval-Augmented Generation with Graphs (GraphRAG)
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.025264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03165f89-5fb4-415e-aa46-ded501cdeebb · outbound
This paper cites Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:07:20.666661Z
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.
Observation 3b13c7b3-0b45-481f-8c0d-bf82f8fbe7ca · outbound
This paper cites Causal Inference and Natural Language Processing.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Inference and Natural Language Processing
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-07T04:07:20.283675Z
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.
Observation 05949f2b-a634-4ed5-a1b6-4013f79f0b15 · outbound
This paper cites CSECU-DSG @ Causal News Corpus 2022: Fusion of RoBERTa Transformers Variants for Causal Event Classification.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news CSECU-DSG @ Causal News Corpus 2022: Fusion of RoBERTa Transformers Variants for Causal Event Classification
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.101970Z
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.
Observation a4ceaf70-db15-4fd5-ac96-4d48ab1355c4 · outbound
This paper cites Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.039249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e64fe035-bc18-478b-9bba-507447bf6b1f · outbound
This paper cites NLP4ITF @ Causal News Corpus 2022: Leveraging Linguistic Infor- mation for Event Causality Classification.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news NLP4ITF @ Causal News Corpus 2022: Leveraging Linguistic Infor- mation for Event Causality Classification
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.091585Z
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.
Observation 660cf45d-683b-4aef-9edd-fe21ed1503c9 · outbound
This paper cites Causal graph extraction from news: a comparative study of time-series causality learning techniques.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal graph extraction from news: a comparative study of time-series causality learning techniques
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-07T04:07:20.272981Z
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.
Observation 7260ceae-7eed-475d-bbc0-68e6a414d342 · outbound
This paper cites Causality: Models, Reasoning, and Inference.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causality: Models, Reasoning, and Inference
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.050457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 824cd6e8-f8a9-49d0-a63d-30fcf760be7b · outbound
This paper cites Iden- tifying Predictive Causal Factors from News Streams.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Iden- tifying Predictive Causal Factors from News Streams
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.082346Z
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.
Observation 276b8c6a-d9ed-4db5-aeb5-3108df691965 · outbound
This paper cites Causal Understanding of Fake News Dissemination on Social Media.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Understanding of Fake News Dissemination on Social Media
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.057457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5897dc4a-725c-4632-824f-01caf03d3507 · outbound
This paper cites NoisyAnnot@ Causal News Corpus 2022: Causality Detection using Multiple Annotation Decisions.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news NoisyAnnot@ Causal News Corpus 2022: Causality Detection using Multiple Annotation Decisions
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.072572Z
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.
Observation 69995901-247b-4b1d-874a-5b62000125dc · outbound
This paper cites A survey on extraction of causal relations from nat- ural language text.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news A survey on extraction of causal relations from nat- ural language text
Reference 22
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T04:07:21.062875Z
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.
Observation 79c8a754-5016-4914-a109-49a41574a1aa · outbound
This paper cites Text to causal knowledge graph: A framework to synthesize knowledge from unstructured business texts into causal graphs.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Text to causal knowledge graph: A framework to synthesize knowledge from unstructured business texts into causal graphs
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.052772Z
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.
Observation 903aa6e4-037a-4cdc-926e-33cc7a5593dc · outbound
This paper cites Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.070948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25ee4723-56a3-41be-8631-5c3f4251ee55 · outbound
This paper cites The Causal News Corpus: Annotating Causal Relations in Event Sentences from News.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:07:20.555895Z
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.
Observation 8b8f71da-f290-4b8d-ae0e-594ae75df5c7 · outbound
This paper cites Causality for Machine Learning.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causality for Machine Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.078617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d87fbb81-1094-43b9-b6a5-374a127306d0 · outbound
This paper cites Constructing and interpreting causal knowledge graphs from news.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Constructing and interpreting causal knowledge graphs from news
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.041057Z
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.
Observation 3f87f16e-2595-4b6d-bfb6-3864ab78235f · outbound
This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.085171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de3a2a76-e665-4fc4-a154-a764469a45bf · outbound
This paper cites Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.029712Z
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.
Observation 723a1cb7-8492-4a96-bd02-016eaf5937d3 · outbound
This paper cites Groq - Accelerating AI Workloads.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Groq - Accelerating AI Workloads
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.019628Z
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.
Observation d21ffb0a-4519-4456-8723-8b54db2f50f1 · outbound
This paper cites A Survey of Learning Causality with Data: Problems and Methods.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news A Survey of Learning Causality with Data: Problems and Methods
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.094571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e282807-9de9-4904-b4f4-17472497fe95 · outbound
This paper cites Learning Causality for News Events Prediction.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Learning Causality for News Events Prediction
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.097917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45df3571-7097-4ec7-83c6-0a3ca218e874 · outbound
This paper cites Investigating causal understanding in LLMs.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Investigating causal understanding in LLMs
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:21.009099Z
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.
Observation 80a82777-1dd4-4ce9-8418-3c4584ffafd7 · outbound
This paper cites Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.998313Z
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.
Observation 70817d11-065a-4c1f-ac24-6574ff050489 · outbound
This paper cites The explanation of a complex problem: A content analysis of causality in cancer news.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news The explanation of a complex problem: A content analysis of causality in cancer news
Reference 35
- Resolution
- verified exact
- doi, observed 2026-08-07T04:07:20.248961Z
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.
Observation c7359645-d786-45f4-8d5f-ae5f04d4644c · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Chain-of-thought prompting elicits reasoning in large language models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.975109Z
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.
Observation 821e719b-6e79-4401-b4f3-062a6d316a76 · outbound
This paper cites Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.115884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24b2bb8a-0dc9-4bc0-b729-58dca40a4514 · outbound
This paper cites Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:07:20.374730Z
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.
Observation bf77b822-8fe9-4e6c-942e-48df428068df · outbound
This paper cites Cause and Effect: Can Large Language Models Truly Understand Causality?.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Cause and Effect: Can Large Language Models Truly Understand Causality?
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-07T04:07:20.237248Z
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.
Observation 1a14294c-b0ac-4893-8fcd-c376c450b306 · outbound
This paper cites Evaluation Methods and Measures for Causal Learning Algorithms.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Evaluation Methods and Measures for Causal Learning Algorithms
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.125166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8fc6854-e4d5-48f3-ba0f-1a4d6761909e · outbound
This paper cites Pairwise Causality Guided Transformers for Event Sequences.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Pairwise Causality Guided Transformers for Event Sequences
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.964289Z
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.
Observation 2d97e2a7-0a28-473b-9340-7402b5d320c3 · outbound
This paper cites all-MiniLM-L6-v2 - Sentence Transformers.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news all-MiniLM-L6-v2 - Sentence Transformers
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.928172Z
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.
Observation 5a87e7e4-4f44-4561-b34c-b62358549950 · outbound
This paper cites A survey on extraction of causal relations from natural language text.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news A survey on extraction of causal relations from natural language text
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.891592Z
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.
Observation b126aeff-3f4a-4886-8400-7310ed04ee02 · outbound
This paper cites Causal knowledge extraction from long text maintenance documents.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal knowledge extraction from long text maintenance documents
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.862197Z
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.
Observation 457151bc-9f4f-42f4-a353-1c2949230479 · outbound
This paper cites Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.849973Z
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.
Observation bca616a4-ffbc-4c5e-837d-82be89ddc07e · outbound
This paper cites CHEER: Centrality-aware high-order event reasoning network for document-level event causality identification.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news CHEER: Centrality-aware high-order event reasoning network for document-level event causality identification
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.837534Z
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.
Observation 78568b44-fdff-489e-b615-645be74dc1af · outbound
This paper cites Root Cause Analysis in Microservice Using Neural Granger Causal Discovery.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Root Cause Analysis in Microservice Using Neural Granger Causal Discovery
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:20.147938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 925256d2-79b5-42c4-96ed-f6aee437f461 · outbound
This paper cites Financial Causal Sentence Recognition Based on BERT-CNN Text Classification.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Financial Causal Sentence Recognition Based on BERT-CNN Text Classification
Reference 48
- Resolution
- verified exact
- doi, observed 2026-08-07T04:07:20.218866Z
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.
Observation f179c511-4db5-49e9-95e0-01c5f86f47fe · outbound
This paper cites The Financial Document Causality Detection Shared Task (FinCausal 2023).
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news The Financial Document Causality Detection Shared Task (FinCausal 2023)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.826000Z
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.
Observation 58d33168-ed8f-4e02-aa62-b1f5a414016c · outbound
This paper cites Event Causality Extraction via Implicit Cause-Effect Interactions.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Event Causality Extraction via Implicit Cause-Effect Interactions
Reference 50
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T04:07:20.158032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62c05f01-da2b-463b-8284-ffd09db7da07 · outbound
This paper cites End-to-end multi-granulation causality extraction model.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news End-to-end multi-granulation causality extraction model
Reference 51
- Resolution
- verified exact
- doi, observed 2026-08-07T04:07:20.199782Z
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.
Observation abd5fba2-d5c1-47f5-b746-5c2b7a88192a · outbound
This paper cites Neo4j Resources.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Neo4j Resources
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.814217Z
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.
Observation de32066b-9cec-488e-a7ad-3259da379634 · outbound
This paper cites an unresolved cited work.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news Unresolved cited work
Reference 2022
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:07:21.114897Z
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.
Observation 093cab93-b1ba-44b3-94bb-506c4408a0a8 · outbound
This paper cites 17 A PREPRINT - AUGUST 28, 2025.
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news 17 A PREPRINT - AUGUST 28, 2025
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:07:20.986179Z
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.
Pith citing papers
No inbound Pith citation observations are available.