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Paper Citation Record · LEDGER

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.06003.

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

pith.paper-citation-record.v1
2606.06003 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:19:33.405517Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90c5ec08-23ef-431f-b4f8-c2c04f287083 · outbound

This paper cites RAG meets temporal graphs: Time-sensitive modeling and retrieval for evolving knowledge.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs RAG meets temporal graphs: Time-sensitive modeling and retrieval for evolving knowledge

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:26:59.007839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cc135f59-8ae7-429b-99ec-a1c8c666f5c5 · outbound

This paper cites Incremental indexing: Design notes for graphrag.append,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Incremental indexing: Design notes for graphrag.append,

Reference 2

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no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6aeffa08-1e7d-45e7-89a8-7f499ebd5770 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 3

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no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:201e10af8868f915a5500a1af99389ec8e252ee64f7a97ae74bf2bed63ab7df4

Observation 1c1d7854-6a6e-4985-ae3b-6c3fd4e8f71b · outbound

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

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 4

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verified exact
local_arxiv, observed 2026-07-02T13:26:59.003341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 55394bdf-6f95-48f0-988d-4680e0c0b0ac · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:26:59.006032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:3558264e4e258b1a889607a7cd00e70410579d0b0d0ec01e178d7f3c451f4f20

Observation 6fc0113f-67a9-4224-98d3-b70807274f26 · outbound

This paper cites HippoRAG: Neurobiologically inspired long-term memory for large language mod- els,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs HippoRAG: Neurobiologically inspired long-term memory for large language mod- els,

Reference 6

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no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:052d84b48c7f7cde3f941f62233e54768c6cce8ec2ce5d0f79ee2a4f9a5e6121

Observation 040816fb-3e50-4202-9c26-f97c22852f75 · outbound

This paper cites From RAG to memory: Non-parametric continual learning for large language models,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs From RAG to memory: Non-parametric continual learning for large language models,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e77d037-6563-481c-8312-79f9ec009c7e · outbound

This paper cites Exploring network structure, dynamics, and function using NetworkX,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Exploring network structure, dynamics, and function using NetworkX,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:fc3866195fdc5b9316f832f82e80379a7113a7cb2b41e82ed3db9bc68a6fdbfb

Observation e913f401-7562-4edb-9f3d-5055faa3f954 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Scikit-learn: Machine learning in Python,

Reference 9

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unresolved
no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:321776c8e1c1e2e675d48e38a0b119bc32c57cde1316bb60eaa988fac6681dd3

Observation 0c053987-aa5c-4a71-88d4-d298287d169b · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs ReAct: Synergizing reasoning and acting in language models,

Reference 10

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no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:3a2f1c888fced0bad1da2b8466cff7b9ad9138bc6965ad3257f9eacf7aed20ca

Observation 811c8c0e-e412-41db-a065-83e70b041224 · outbound

This paper cites Corrective Retrieval Augmented Generation.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Corrective Retrieval Augmented Generation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:26:59.010809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:f145418b336160ba616889a5261a2e687f17169abcd7959213d7fea553801a43

Observation cafb9cfe-5f10-4053-af17-f20fe7dfad8d · outbound

This paper cites Self-RAG: Learning to retrieve, generate, and critique through self-reflection,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Self-RAG: Learning to retrieve, generate, and critique through self-reflection,

Reference 12

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no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:91bde5f28268ef211f229dbb6710148f160a5ef71b693d5a1298dfb40ee217b2

Observation 01a63814-2d90-4683-9adb-b3055e026c0c · outbound

This paper cites G-Retriever: Retrieval-augmented generation for textual graph understanding and question answering,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs G-Retriever: Retrieval-augmented generation for textual graph understanding and question answering,

Reference 13

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no resolver link, observed 2026-06-28T01:19:33.405517Z

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Unavailable: canonical work link unavailable.

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Observation 8125fe3d-a8c3-4148-9627-047bd2e1f033 · outbound

This paper cites Biomedical knowledge graph-optimized prompt generation for large language models.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Biomedical knowledge graph-optimized prompt generation for large language models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:26:59.002236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:a03cf546858ff822cfbda183c1947256bbcc5f2d89ece406d6a74fb77d17da79

Observation 02321d56-d125-4b61-8c77-21639cdf5816 · outbound

This paper cites Core techniques of question answering systems over knowledge bases: A survey,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Core techniques of question answering systems over knowledge bases: A survey,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:724c0462003cda29bae57a201563416f663f623e42028e7a01ffcb427b90e42c

Observation 10d508c7-359d-4b34-9b71-ae879973c05e · outbound

This paper cites KQA Pro: A dataset with explicit compositional programs for complex question answering over knowledge base,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs KQA Pro: A dataset with explicit compositional programs for complex question answering over knowledge base,

Reference 16

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no resolver link, observed 2026-06-28T01:19:33.405517Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:c3700c990d72d9f94ed575ed42a63713e886da630942f6dbfabfb7ab65754cd3

Observation 8da980ad-c946-4ba1-b1c0-ffc0fcd73525 · outbound

This paper cites Think-on-Graph: Deep and responsible reasoning of large language model on knowledge graph,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Think-on-Graph: Deep and responsible reasoning of large language model on knowledge graph,

Reference 17

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no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:b7f304a79cccaf00e92eafca59271e129f362cc7095a155536f3fc1bcace6327

Observation a0a41b16-6f92-4741-878c-06b57b44da39 · outbound

This paper cites RAGAS: Automated evaluation of retrieval augmented generation,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs RAGAS: Automated evaluation of retrieval augmented generation,

Reference 18

Resolution
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no resolver link, observed 2026-06-28T01:19:33.405517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b596f58a-2ae4-453e-8d0c-b1c459bebbf0 · outbound

This paper cites StructGPT: A general framework for large language model to reason over structured data,.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs StructGPT: A general framework for large language model to reason over structured data,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:a6f8d731d32a4a6698e16e43179bfb327fe221137be3fa37ff78871a135d107a

Observation 5a6a9b21-acd6-4290-9073-6c08f01d57e8 · outbound

This paper cites Seven Failure Points When Engineering a Retrieval Augmented Generation System.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:26:58.997540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:00225c74fc49b500afa744bdaff47292062b3e75ed9ac7d96c2eccfb1b9ec96e

Observation 0a171137-52bb-4098-94d8-d27fb34937b8 · outbound

This paper cites Fail — requires dual upstream traversal.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Fail — requires dual upstream traversal

Reference 21

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.