Paper Citation Record · LEDGER

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2505.02130.

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

pith.paper-citation-record.v1
2505.02130 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:07:10.368948Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:56:36.466105Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:56:27.450565Z

Reference resolution

28 of 28 outbound references displayed

verified exact2
verified fuzzy10
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38c6e429-e0e5-4138-951d-fbd762d539dd · outbound

This paper cites Star Attention: Efficient LLM Inference over Long Sequences.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Star Attention: Efficient LLM Inference over Long Sequences

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.282629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f020808a-65e9-45b4-b619-6dc541d13d4e · outbound

This paper cites LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.293978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cabf37b1-cbc5-4c02-9a7f-0f602df09d0b · outbound

This paper cites UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.297478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e828cd4c-48fc-4fbf-ae27-56cafc75fb33 · outbound

This paper cites Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.300881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cd8ecea-4a12-43ef-86b2-2fd10f43c5c2 · outbound

This paper cites Can gnn be good adapter for llms? In Proceedings of the ACM on Web Conference 2024 , pp.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Can gnn be good adapter for llms? In Proceedings of the ACM on Web Conference 2024 , pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.616269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a09081e-288d-4618-8c36-ead4b9c38b6d · outbound

This paper cites Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.310830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e2f2b71-6811-4391-8e88-b1cf8ef3d1c7 · outbound

This paper cites V ., Bondaschi, M., Nagle, A., Girish, A., Kim, H., Jaggi, M., and Gastpar, M.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data V ., Bondaschi, M., Nagle, A., Girish, A., Kim, H., Jaggi, M., and Gastpar, M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.607392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33b68b1f-97ea-4a6b-816c-101443da3e8a · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.317053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48466793-5831-4671-8695-10b3d225e646 · outbound

This paper cites Towards understanding how attention mechanism works in deep learning.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Towards understanding how attention mechanism works in deep learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.323624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8f5272-6152-4d80-be3b-d22082a5b382 · outbound

This paper cites Prog- prompt: Generating situated robot task plans using large language models.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Prog- prompt: Generating situated robot task plans using large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.597835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18c4e83a-a94a-4f46-8a79-235de907c8c2 · outbound

This paper cites Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.329732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48022611-1092-4223-8bdd-fbf7ce39b31b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.332908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a459b328-50c2-45d6-863c-d30756b4087a · outbound

This paper cites Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.338919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1e386a-414d-4ea3-bed2-cf1ed26dd1eb · outbound

This paper cites Hierarchical Compression of Text-Rich Graphs via Large Language Models.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Hierarchical Compression of Text-Rich Graphs via Large Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-16T01:07:10.416233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a70e78e0-bfbb-4539-a518-db79a62eac3e · outbound

This paper cites A comprehensive survey of large language models in management: Applications, chal- lenges, and opportunities.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data A comprehensive survey of large language models in management: Applications, chal- lenges, and opportunities

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.588909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8286e667-3ff1-49f5-a04f-1afaf652b1cc · outbound

This paper cites Learning on Large-scale Text-attributed Graphs via Variational Inference.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Learning on Large-scale Text-attributed Graphs via Variational Inference

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.348251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0023d04-ad85-42ac-a01c-32b32905e45b · outbound

This paper cites Efficient Tuning and Inference for Large Language Models on Textual Graphs.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.351190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ecd06f4-7f54-4337-9020-a9e685f27342 · outbound

This paper cites The statistical metrics of each dataset are shown in the following Table.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data The statistical metrics of each dataset are shown in the following Table

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.579409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55a611e7-fc8d-4626-8216-330e1f0afeed · outbound

This paper cites Additional Related Work Recent advancements have delved into leveraging Large Language Models (LLMs) within graph structure domains.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Additional Related Work Recent advancements have delved into leveraging Large Language Models (LLMs) within graph structure domains

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.569247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f4968af-c865-464d-b229-0e08ff0edbb6 · outbound

This paper cites Meanwhile, Sun et al.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Meanwhile, Sun et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.559735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e0fa4f21-38b7-4c10-9037-1e7c00e45d4d · outbound

This paper cites An interactive fusion of LLMs and GNNs is also presented by (Qiao et al., 2024).

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data An interactive fusion of LLMs and GNNs is also presented by (Qiao et al., 2024)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.549814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d742878-e3fc-46b2-afe9-4524c4d0be78 · outbound

This paper cites Additionally, Kong et al.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Additionally, Kong et al

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.540622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22afb757-9662-4a6b-b79c-772b49661b0c · outbound

This paper cites Moreover, recent efforts have increasingly focused on designing modules from a more comprehensive perspective to achieve better performance.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Moreover, recent efforts have increasingly focused on designing modules from a more comprehensive perspective to achieve better performance

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:10.530793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f48e32c-76d9-4b25-ae77-6901210758ad · outbound

This paper cites LLaGA: Large Language and Graph Assistant.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data LLaGA: Large Language and Graph Assistant

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.290271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 689d0da9-d8bf-4e03-bf25-702601e86b67 · outbound

This paper cites Language is All a Graph Needs.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Language is All a Graph Needs

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.335956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d93c3fcc-1b8a-49f4-9dbd-663d52b3b772 · outbound

This paper cites GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.307507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ee3e85-0fd9-44c9-808b-632d8b58b297 · outbound

This paper cites LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-16T01:07:10.463846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 144d6aea-d462-4798-9484-36f49ffdf860 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:10.286911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0ebc5e8d-5336-45c2-94a7-a47661b3c5dc · inbound

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors cites this paper.

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data

Reference 298

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:21:04.543957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ab78c8f-b6d0-462b-bc92-3b3da78f7578 · inbound

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models cites this paper.

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:56:27.453652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8309efb0-f4f9-47b8-836a-872046a9dd67 · inbound

From Trajectories to Prefixes: Reusing Teacher Trajectories via Replayed Prefixes and Online Continuation cites this paper.

From Trajectories to Prefixes: Reusing Teacher Trajectories via Replayed Prefixes and Online Continuation Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T08:56:36.466105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.