Paper Citation Record · LEDGER

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2412.10654.

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

pith.paper-citation-record.v1
2412.10654 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:47:29.518697Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:43:03.737130Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:43:04.524595Z

Reference resolution

45 of 45 outbound references displayed

verified exact3
verified fuzzy1
unresolved39
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81586baa-3cf6-431b-b5f5-c82a87224b5e · outbound

This paper cites The Llama 3 Herd of Models.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data The Llama 3 Herd of Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.339285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e60b66-1a62-4bda-9ecb-7a845ce2c1f0 · outbound

This paper cites To Code, or Not To Code? Exploring Impact of Code in Pre-training.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data To Code, or Not To Code? Exploring Impact of Code in Pre-training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.344175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9342ad11-1008-4566-b698-aae020047ee3 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:47:30.074693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6284b273-bb70-46e9-bea4-1cbda00e946c · outbound

This paper cites Bollacker, Colin Evans, Praveen K.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Bollacker, Colin Evans, Praveen K

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.356808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa27c476-6620-4fc3-8502-cf8aab523654 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:47:30.045313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4132f6b4-bb34-43d6-ae62-bf574ac6bee0 · outbound

This paper cites Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.368543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44ef474-300c-4d3a-bfe1-860c20c266be · outbound

This paper cites Language Models are Few-Shot Learners.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.373139Z

Source-reported events for the cited work

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Observation e932cb4f-2ae5-4cce-ba35-5ff790e7776b · outbound

This paper cites SPARQL Generation with Entity Pre-trained GPT for KG Question Answering.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data SPARQL Generation with Entity Pre-trained GPT for KG Question Answering

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:47:29.849471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9593398c-ee6c-4acd-87b0-53c6acef6f26 · outbound

This paper cites GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.382744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bfb0513-988d-4162-8a91-83436ad61c68 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:47:30.033531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a4569025-f58f-4c49-a16f-682c727c8a6b · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data PaLM: Scaling Language Modeling with Pathways

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.391263Z

Source-reported events for the cited work

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Observation f0f4e2d7-1c45-45fd-b1af-c6f8fa5e1079 · outbound

This paper cites GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:47:29.807102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb22a9f6-2fc9-41e9-9e0c-87595796d5f4 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.399102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 770d679b-75dc-4775-a761-c4cc46b4f7d9 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:47:30.021457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc129b13-b042-4f4d-b61e-1807dd9b250a · outbound

This paper cites GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.407178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e14fcbae-c778-41f2-8fd2-0e9ab872ead3 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.411236Z

Source-reported events for the cited work

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Observation 4b98d488-310c-4f4f-b82c-176756a6528b · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:47:30.001831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e40aac98-f3f9-41e9-9981-f039250f70b3 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.418708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1fb6030-8428-470b-8f18-2fa3c53d3c28 · outbound

This paper cites The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.423340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6897121-43c2-41c1-b128-7b1fa1d1c935 · outbound

This paper cites Internet-augmented language models through few-shot prompting for open-domain question answering.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.427669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84dff882-fddc-40e9-b612-83e32781ae82 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.432131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b33ea17-926d-4aca-8383-c5f01d16971b · outbound

This paper cites Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.436774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b20a69a-4f83-4e42-9f5e-2c0b911cd21c · outbound

This paper cites At Which Training Stage Does Code Data Help LLMs Reasoning?.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data At Which Training Stage Does Code Data Help LLMs Reasoning?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.441363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9838b13-2480-4a90-a189-781651a6c92e · outbound

This paper cites Code-Style In-Context Learning for Knowledge-Based Question Answering.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Code-Style In-Context Learning for Knowledge-Based Question Answering

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.445351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff67cb1b-bea7-4742-b026-7231268a89eb · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 25

Resolution: malformed identifier; no resolver link, observed 2026-08-11T15:47:29.449100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97cd9397-3fa3-4713-ad5f-5a3833e5bc0a · outbound

This paper cites SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.452873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09a911a4-a270-4511-bbfa-cdc64c265e19 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:47:29.989427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c1680942-f8dd-4a56-a50e-8efe234397cc · outbound

This paper cites Can Language Models Solve Graph Problems in Natural Language?.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Can Language Models Solve Graph Problems in Natural Language?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.460351Z

Source-reported events for the cited work

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Observation 5746df9b-2a0a-4de0-a4b3-e43b55a47736 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:47:29.975046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f33819b0-b1ef-4d40-8e91-de95603a5ee8 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.472317Z

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Observation f34ec7aa-c2d8-4f2e-bed0-694f4388027b · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.476145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8479344a-43ed-4927-8c81-20a19b6de701 · outbound

This paper cites InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.468083Z

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Unavailable: canonical work link unavailable.

Observation 445e11a2-3870-4894-b582-6eded798a2c4 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.483789Z

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Unavailable: canonical work link unavailable.

Observation af5a3e06-1494-4219-b452-1a4048e1b15b · outbound

This paper cites Griffiths, Yuan Cao, and Karthik R Narasimhan.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Griffiths, Yuan Cao, and Karthik R Narasimhan

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.491487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3b25523-3a71-4862-a707-bb4bbe13a730 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 35

Resolution: malformed identifier; no resolver link, observed 2026-08-11T15:47:29.479957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e154189-99fe-4ff6-87a0-4c299e7a34ab · outbound

This paper cites Deep Bidirectional Language-Knowledge Graph Pretraining.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Deep Bidirectional Language-Knowledge Graph Pretraining

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.499106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e34d16a9-0177-49be-bd1c-c088f981cff1 · outbound

This paper cites Do Large Language Models Latently Perform Multi-Hop Reasoning?.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Do Large Language Models Latently Perform Multi-Hop Reasoning?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.487763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 126b7346-ee67-4045-801b-32a1e05f1aa1 · outbound

This paper cites Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.510691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ba426bc-dcd7-4deb-a20b-065c52111ea5 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.495609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976dbdc5-ae88-4661-a2a9-a7760d7eba1e · outbound

This paper cites Investigating Instruction Tuning Large Language Models on Graphs.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Investigating Instruction Tuning Large Language Models on Graphs

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:47:29.592069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3b095324-a5fa-43e9-9744-270664a0cf38 · outbound

This paper cites an unresolved cited work.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.503098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f00062e-27bc-4487-a503-0d9f8b761104 · outbound

This paper cites Language is All a Graph Needs.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Language is All a Graph Needs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.506752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3c44315-31ba-43e3-9786-20f66532fe40 · outbound

This paper cites Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.514625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c210b80-5153-4b97-be1d-c3503f535264 · outbound

This paper cites In SIGMOD Conference.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data In SIGMOD Conference

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:47:30.056551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d0308ae-452a-42bf-a7cc-7555ebe7e062 · outbound

This paper cites Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries.

Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T15:47:29.352274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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

Aligning Knowledge Graphs and Language Models for Factual Accuracy cites this paper.

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 2026-08-13T06:32:02.005865+00:00.

Observation 5af52615-0920-42f8-a121-a7dc5195f0e2 · inbound

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams cites this paper.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T21:02:28.282609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.