Paper Citation Record · LEDGER

Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.12788.

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

pith.paper-citation-record.v1
2410.12788 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:54.803455Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.504628Z

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 c7280389-d228-43a8-b559-b5f1f469eaba · inbound

DiscoSum: Discourse-aware News Summarization cites this paper.

DiscoSum: Discourse-aware News Summarization Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:54.803455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e0cc46-9762-43fc-b8da-fcad8785a51a · inbound

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning cites this paper.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.619551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57238bcb-4a46-4818-b45e-24b003eaf827 · inbound

Can LLMs Replace Humans During Code Chunking? cites this paper.

Can LLMs Replace Humans During Code Chunking? Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:14.102192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cdf6b6c-1bb7-43a1-9b65-cc71cf0ce349 · inbound

Semantic Source Code Segmentation using Small and Large Language Models cites this paper.

Semantic Source Code Segmentation using Small and Large Language Models Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.404839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44c2a86e-5461-4906-a86b-f0b4462f7f81 · inbound

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs cites this paper.

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T14:39:45.035787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5003e3-dacc-410b-8c07-942c0a907c8b · inbound

HiPS: Hierarchical PDF Segmentation of Doctrinal Legal Books cites this paper.

HiPS: Hierarchical PDF Segmentation of Doctrinal Legal Books Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T13:09:39.191970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f69cf65d-9f2c-4a4f-b5bf-bdc5317894cd · inbound

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations cites this paper.

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.506676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 110e66ea-ab16-48b8-8054-5d753449db44 · inbound

CTRAG: An In-Context Retrieval-based Framework for Automated Compliance Checking using LLMs cites this paper.

CTRAG: An In-Context Retrieval-based Framework for Automated Compliance Checking using LLMs Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T06:46:44.407318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.