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Paper Citation Record · LEDGER

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.00456.

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

pith.paper-citation-record.v1
2406.00456 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:15:59.538075Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e694dc79-6543-41c4-a410-b13896cf7f47 · inbound

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems cites this paper.

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:59.538075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:59.538075Z digest=sha256:dc906afda8649787f55c6de5a693eb8303df390976ff93a9f57669dee6219816

Observation 309181dd-a395-4dfb-8b9a-fade1a9f3f48 · inbound

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

Advanced ingestion process powered by LLM parsing for RAG system Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T14:13:21.240956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:13:21.240956Z digest=sha256:2436f46c75ff02f7f58b9c04222b73e07a5398b3a3262dbf2dab5eedcc58833b

Observation f3d701e6-6864-4a24-bb5c-c993591e3e4b · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T05:33:52.528776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:33:52.528776Z digest=sha256:c36620ed5f4cbc45e9ec7279d153417dfc5a0a6fd3065d27384de634fce657b5

Observation aa53f1df-798e-4896-a18b-8627c40e75e0 · inbound

Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis cites this paper.

Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:27:56.246790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:27:56.246790Z digest=sha256:d5766205ea761cf6a19c56f3c837baa5cec1d4f5d3be221850a9f770639b37c3

Observation 3ba27247-7633-4a42-b260-9fe30bf18a82 · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:41.298206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:41.298206Z digest=sha256:3fa299147c9c8506632a3f7081bca77cbab488eb439b55594c70cce856054cb6

Observation 80fd6948-8993-457c-af0a-4243680473ba · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 240

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.531483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:76fe71fd3e4d74a5cc21234535adf7d73541ec7ae93735e08ca21d0668faa47c

Observation 16440290-b57e-4467-9add-09fb134421f0 · inbound

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts cites this paper.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:57:42.199775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-03T06:57:26.465300Z digest=sha256:2c5b0bb849deae8818fd8b8d5da0d13c3e9f36b1d2150c144cb7f721d324980e