Paper Citation Record · LEDGER

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.10151.

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

pith.paper-citation-record.v1
2607.10151 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:55:16.160002Z

measured 20 of 20 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 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

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81d09d2e-3f57-4580-840c-fa4dc1dd213d · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Improving language models by retrieving from trillions of tokens

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40439415-dd10-40e0-968b-4cb33e1fc707 · outbound

This paper cites Cordella, Pasquale Foggia, Carlo Sansone, and Mario Vento.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Cordella, Pasquale Foggia, Carlo Sansone, and Mario Vento

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca664ec5-8728-45d4-95c8-995786450573 · outbound

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

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 645825ed-95f7-425c-ba7b-5f258b33326c · outbound

This paper cites A survey on RAG meeting llms: Towards retrieval-augmented large language models.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries A survey on RAG meeting llms: Towards retrieval-augmented large language models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165b6956-381f-48e2-af8d-8df16725fb9e · outbound

This paper cites Lightrag: Simple and fast retrieval-augmented generation.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Lightrag: Simple and fast retrieval-augmented generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82377efa-a3cd-445e-9a45-f3f6aeaaf319 · outbound

This paper cites Turboiso: towards ultrafast and robust sub- graph isomorphism search in large graph databases.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Turboiso: towards ultrafast and robust sub- graph isomorphism search in large graph databases

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b509c4d1-40da-4768-aa7b-13bf61cd82da · outbound

This paper cites G-retriever: Retrieval-augmented gener- ation for textual graph understanding and question answer- ing.Advances in Neural Information Processing Systems, 37:132876–132907,.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries G-retriever: Retrieval-augmented gener- ation for textual graph understanding and question answer- ing.Advances in Neural Information Processing Systems, 37:132876–132907,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 520b4c8c-0b15-4e92-903a-3626c93cf995 · outbound

This paper cites Leveraging passage retrieval with generative mod- els for open domain question answering.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Leveraging passage retrieval with generative mod- els for open domain question answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e476eae-5bc4-46b2-8744-0955dbe67f70 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Dense passage retrieval for open-domain question answering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72011e19-cdf4-4422-8770-bb2d06acc225 · outbound

This paper cites Colbert: Efficient and effective passage search via contextualized late interaction over bert.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Colbert: Efficient and effective passage search via contextualized late interaction over bert

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4100946e-f2c2-45d7-9e6d-242a4d07b15d · outbound

This paper cites Turboflux: A fast continuous subgraph matching system for streaming graph data.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Turboflux: A fast continuous subgraph matching system for streaming graph data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00da0432-05f7-448f-9a7a-8a983d34618e · outbound

This paper cites Natural questions: A benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453– 466,.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Natural questions: A benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453– 466,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b88e152-b62b-4ee3-9333-f3e94c63dd25 · outbound

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

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37b827d7-c06c-47ce-91ca-806691d1bf87 · outbound

This paper cites KAG: boosting llms in professional do- mains via knowledge augmented generation.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries KAG: boosting llms in professional do- mains via knowledge augmented generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036d5a91-4433-427f-ba69-5c2e5246088e · outbound

This paper cites Bhowmick, Gao Cong, and Qing Wang.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Bhowmick, Gao Cong, and Qing Wang

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fff23aeb-3157-483b-9ec5-4d3450a7d0ab · outbound

This paper cites Panda: a system for par- tial topology-based search on large networks.Proc.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Panda: a system for par- tial topology-based search on large networks.Proc

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5d6bc4-4236-4e1f-ab37-123fc67b10a7 · outbound

This paper cites Structure guided retrieval-augmented generation for factual queries,.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Structure guided retrieval-augmented generation for factual queries,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7eefbed-9a03-46dc-a234-443b776d8010 · outbound

This paper cites Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fbb397c-a7f4-46fb-9658-ef424546a741 · outbound

This paper cites Efficient exact subgraph matching via gnn- based path dominance embedding.Proc.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Efficient exact subgraph matching via gnn- based path dominance embedding.Proc

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f43bfee7-ef3c-4b10-8d71-f98bc5bc7efa · outbound

This paper cites A comprehensive survey and experimen- tal study of subgraph matching: trends, unbiasedness, and interaction.Proceedings of the ACM on Management of Data, 2(1):1–29, 2024.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries A comprehensive survey and experimen- tal study of subgraph matching: trends, unbiasedness, and interaction.Proceedings of the ACM on Management of Data, 2(1):1–29, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.