Paper Citation Record · LEDGER

Aligning Knowledge Graphs and Language Models for Factual Accuracy

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2507.13411.

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

pith.paper-citation-record.v1
2507.13411 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:43:04.173820Z

measured 48 of 48 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:00:19.246229Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T08:49:41.740971Z

Reference resolution

47 of 47 outbound references displayed

verified exact6
verified fuzzy20
unresolved19
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53095e84-3986-45e3-8827-899d8143518f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Gemini: A Family of Highly Capable Multimodal Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:00.086349Z

Source-reported events for the cited work

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Observation 1cf03d07-c91e-4e19-ba00-945b48e5ec30 · outbound

This paper cites Claude: An AI Assistant.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Claude: An AI Assistant

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:10.394102Z

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 e768cc65-e2ac-46d7-92f5-320a5488bd8b · outbound

This paper cites URL: https://www.anthropic.com/product.

Aligning Knowledge Graphs and Language Models for Factual Accuracy URL: https://www.anthropic.com/product

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:10.171735Z

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 9b1b4e92-d282-4b28-a25a-b4d79d8b0faf · outbound

This paper cites Knowledge-Augmented Language Model Verification.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Knowledge-Augmented Language Model Verification

Reference 4

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Source-reported events for the cited work

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Observation ed8d968b-4e78-4af7-b928-206212b7bb30 · outbound

This paper cites Fine-Tuning Large Enter- prise Language Models via Ontological Reasoning.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Fine-Tuning Large Enter- prise Language Models via Ontological Reasoning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:09.975791Z

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 8a8ef933-0888-4a57-8afd-67e8b81c183b · outbound

This paper cites Softening Ontological Rea- soning with Large Language Models.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Softening Ontological Rea- soning with Large Language Models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:09.818593Z

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 1e491916-5ce8-4d86-8e9e-dc35823e8c74 · outbound

This paper cites Gett-qa: Graph embedding based t2t transformer for knowledge graph question answering.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Gett-qa: Graph embedding based t2t transformer for knowledge graph question answering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:09.585095Z

Source-reported events for the cited work

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Observation b115293d-b11a-431f-9eb8-2b186d888ad8 · outbound

This paper cites LLMs Will Always Hallucinate, and We Need to Live With This.

Aligning Knowledge Graphs and Language Models for Factual Accuracy LLMs Will Always Hallucinate, and We Need to Live With This

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:00.975012Z

Source-reported events for the cited work

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Observation a76bce3a-4f04-41c5-820e-0f88806379cc · outbound

This paper cites Besold et al., eds.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Besold et al., eds

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:09.409351Z

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 a527243e-4edd-4add-9768-833e9d93f498 · outbound

This paper cites Translating embeddings for modeling multi-relational data.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Translating embeddings for modeling multi-relational data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:09.205103Z

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 b5772bac-b562-4337-85fc-0b849b32b970 · outbound

This paper cites Language Models are Few-Shot Learners.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Language Models are Few-Shot Learners

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:08.988964Z

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 a10af255-633e-4ab4-b262-f11deca51d5f · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 12

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Source-reported events for the cited work

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Observation b27404ab-2dfa-4828-801c-3b436de2376c · outbound

This paper cites Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:43:05.499894Z

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 a6995607-6d1f-4c5c-9410-c1de42a5bcc1 · outbound

This paper cites REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation.

Aligning Knowledge Graphs and Language Models for Factual Accuracy REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:08.765110Z

Source-reported events for the cited work

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Observation 0e0ef871-faa4-4ed9-889e-82bdb3e5c99c · outbound

This paper cites Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:08.555630Z

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 9bc50d16-e901-4fb8-a085-f551cfd068f3 · outbound

This paper cites Distributed Company Control in Company Shareholding Graphs.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Distributed Company Control in Company Shareholding Graphs

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:08.370586Z

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 a1c0a9ad-4885-4894-b8b6-cb14c3146f39 · outbound

This paper cites Knowledgenavigator: Leveraging large language models for enhanced reasoning over knowledge graph.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Knowledgenavigator: Leveraging large language models for enhanced reasoning over knowledge graph

Reference 17

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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 90cd5b4d-e72a-4f02-95b8-e49a30b97829 · outbound

This paper cites A Survey on Knowledge Graphs: Representation, Acquisition, and Applications.

Aligning Knowledge Graphs and Language Models for Factual Accuracy A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:07.970788Z

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 002c96c1-7f6b-4c59-93ef-36661f2f4d15 · outbound

This paper cites Survey of hallucination in natural lan- guage generation.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Survey of hallucination in natural lan- guage generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:07.812515Z

Source-reported events for the cited work

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Observation 1fa39611-77fd-419d-be14-b360e5faf2dc · outbound

This paper cites Mistral 7B.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Mistral 7B

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2da48c9-e840-443b-a07a-f88c5e2d2783 · outbound

This paper cites Efficient Knowledge Infusion via KG-LLM Alignment.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Efficient Knowledge Infusion via KG-LLM Alignment

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:43:05.309669Z

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 98dc1232-ecbf-48b3-bc42-4a097e5183f0 · outbound

This paper cites KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning.

Aligning Knowledge Graphs and Language Models for Factual Accuracy KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:43:05.141772Z

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 35d169d7-a94d-4950-97e0-00e490c01f09 · outbound

This paper cites Visual instruction tuning.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Visual instruction tuning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:07.607605Z

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 2c581131-879f-4fd0-810f-0840f22cf13a · outbound

This paper cites ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.

Aligning Knowledge Graphs and Language Models for Factual Accuracy ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:02.448836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1ed65c-2b34-4186-97e9-11a0962fb7fd · outbound

This paper cites KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation.

Aligning Knowledge Graphs and Language Models for Factual Accuracy KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:02.533706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b30cf25-51e9-4e5e-8fab-9c599d08b591 · outbound

This paper cites Dataset: YAGO3-10 (Yet Another Great Ontology 3-10).

Aligning Knowledge Graphs and Language Models for Factual Accuracy Dataset: YAGO3-10 (Yet Another Great Ontology 3-10)

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T16:43:04.340172Z

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 f1697019-9135-4278-95ce-70540cdeb8d1 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Aligning Knowledge Graphs and Language Models for Factual Accuracy When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3ed5f1-5ef7-428a-939b-de7c26005ac9 · outbound

This paper cites GPT-4 Technical Report.

Aligning Knowledge Graphs and Language Models for Factual Accuracy GPT-4 Technical Report

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db92d39a-a9fc-48b2-9dcc-ede12b5753f1 · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Unifying large language models and knowledge graphs: A roadmap

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:07.364172Z

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 75f289ba-1fb5-4884-add7-227c90e20470 · outbound

This paper cites Relation-aware language-graph transformer for question answering.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Relation-aware language-graph transformer for question answering

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:06.621622Z

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 d8d4458a-5d90-4c8d-a99e-834d0bb22abf · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 31

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Source-reported events for the cited work

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Observation 93889104-d673-49d8-a6f8-b49d2bd42ce4 · outbound

This paper cites Knowledge Enhanced Contextual Word Representations.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Knowledge Enhanced Contextual Word Representations

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabe7ffb-3628-4978-a9b8-7e684ec291c5 · outbound

This paper cites Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:43:04.847746Z

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 7957e8bf-2ee5-4c86-adf7-7e2570252790 · outbound

This paper cites JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering.

Aligning Knowledge Graphs and Language Models for Factual Accuracy JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:03.270616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a194d394-c22a-4816-b8ec-d69001f3e8f9 · outbound

This paper cites RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

Aligning Knowledge Graphs and Language Models for Factual Accuracy RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43bacf55-381c-40aa-ac26-29ecea43e77d · outbound

This paper cites KG-adapter: Enabling knowledge graph integration in large language models through parameter-efficient fine-tuning.

Aligning Knowledge Graphs and Language Models for Factual Accuracy KG-adapter: Enabling knowledge graph integration in large language models through parameter-efficient fine-tuning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:06.410018Z

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 56e94a66-6d19-49cf-bec3-66738ef3affe · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Aligning Knowledge Graphs and Language Models for Factual Accuracy LLaMA: Open and Efficient Foundation Language Models

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6169aba4-5c1b-495a-a60b-3df6492a21d0 · outbound

This paper cites Knowledge graph embedding: A sur- vey of approaches and applications.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Knowledge graph embedding: A sur- vey of approaches and applications

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:06.217303Z

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 84ddb62f-db2f-4454-9072-1d18a4e01215 · outbound

This paper cites KEPLER: A unified model for knowledge embedding and pre-trained language repre- sentation.

Aligning Knowledge Graphs and Language Models for Factual Accuracy KEPLER: A unified model for knowledge embedding and pre-trained language repre- sentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:06.030441Z

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 e5194e2a-ff7c-4a98-bd03-a804ae96d6a7 · outbound

This paper cites Resolving Knowledge Conflicts in Large Language Models.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Resolving Knowledge Conflicts in Large Language Models

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90b1f78-6182-4a96-bab0-6ba8771b8603 · outbound

This paper cites Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:43:04.618127Z

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 b3072061-8fb7-4ffa-939e-f3788c27afb2 · outbound

This paper cites QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering.

Aligning Knowledge Graphs and Language Models for Factual Accuracy QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:03.821845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dcbdf75-c70e-454d-ab72-62a521be7880 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Aligning Knowledge Graphs and Language Models for Factual Accuracy TinyLlama: An Open-Source Small Language Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:03.900387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c50a23f-c3d1-4759-8f37-61e212ee8db6 · outbound

This paper cites ERNIE: Enhanced Language Representation with Informative Entities.

Aligning Knowledge Graphs and Language Models for Factual Accuracy ERNIE: Enhanced Language Representation with Informative Entities

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:03.964398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431966e1-2254-43f7-9be6-0be579e36df2 · outbound

This paper cites Fine-tuning Large Language Models for Domain-specific Machine Translation.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da7fbf18-8925-411e-a4d1-c6396ab24410 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:05.868215Z

Source-reported events for the cited work

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Observation eef126e1-b972-421f-b97a-643d1b5ba44c · outbound

This paper cites GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding.

Aligning Knowledge Graphs and Language Models for Factual Accuracy GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:43:05.708901Z

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.

Pith citing papers

Observation 2b515138-29ae-4835-b4c4-4f6d42a1bb33 · inbound

VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows cites this paper.

VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows Aligning Knowledge Graphs and Language Models for Factual Accuracy

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:49:41.742495Z

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.