Paper Citation Record · LEDGER

ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2410.19572.

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

pith.paper-citation-record.v1
2410.19572 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:41.573737Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:27:02.480358Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 81b6561d-7948-4aea-a0f9-b3febd1699d3 · inbound

Advanced ingestion process powered by LLM parsing for RAG system cites this paper.

Advanced ingestion process powered by LLM parsing for RAG system ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:13:21.235396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7fc15b6-85fd-4b46-834a-c41d12533b8c · inbound

MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation cites this paper.

MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:57:12.885727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1ba89b-ef85-44e7-8ada-f8beed1af99c · inbound

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos cites this paper.

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T15:04:36.839576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e4eea6-3a8e-4204-9991-7a9f08f56ad0 · inbound

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey cites this paper.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.573737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c1489f-de28-4e48-bb9f-3476e4f91174 · inbound

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation cites this paper.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.683176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00f0ed5-62b8-462c-aff0-d3ca2e617aee · inbound

Harmonia: End-to-End RAG Serving Optimization cites this paper.

Harmonia: End-to-End RAG Serving Optimization ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:04.670737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 661adba6-9890-4df4-8dc5-998a61a53909 · inbound

Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement cites this paper.

Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:58.357819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f332e495-a5e7-459f-b185-e37b3f13fa49 · inbound

System Prompt Extraction Attacks and Defenses in Large Language Models cites this paper.

System Prompt Extraction Attacks and Defenses in Large Language Models ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:18.325891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad87c92d-1a62-45b0-8399-c906d1cdd341 · inbound

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions cites this paper.

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T18:08:11.847401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca60ccf2-349a-469d-b468-c0000d244eaa · inbound

CHOP: Chunkwise Context-Preserving Framework for RAG on Multi Documents cites this paper.

CHOP: Chunkwise Context-Preserving Framework for RAG on Multi Documents ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.492893Z

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 7046080e-196a-4ad8-934f-cd8794e82c09 · inbound

Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.

Agents-K1: Towards Agent-native Knowledge Orchestration ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:18:33.960044Z

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 1ab9b9cf-53b0-4513-adde-8ec40391fa3c · inbound

Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.

Agents-K1: Towards Agent-native Knowledge Orchestration ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:24:38.418257Z

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 6a7027df-bdca-4dda-be4c-42a044126c21 · inbound

Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.

Agents-K1: Towards Agent-native Knowledge Orchestration ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T11:40:45.833523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8e1017-5860-4d28-b01a-0a581c9e15fe · inbound

PolyUQuest: Verifiable Structure-Aware Web RAG over Heterogeneous Graphs cites this paper.

PolyUQuest: Verifiable Structure-Aware Web RAG over Heterogeneous Graphs ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-10T10:27:02.481476Z

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 33279ab2-4f69-43d6-808b-9fd6efb85d8e · inbound

The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance cites this paper.

The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:59:51.042071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.