Paper Citation Record · LEDGER

LumberChunker: Long-Form Narrative Document Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.17526.

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

pith.paper-citation-record.v1
2406.17526 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:44:38.348494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:25:00.139190Z

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 5d75f75f-17a6-47e4-af75-3e7278a999a9 · inbound

On Memory Construction and Retrieval for Personalized Conversational Agents cites this paper.

On Memory Construction and Retrieval for Personalized Conversational Agents LumberChunker: Long-Form Narrative Document Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T18:46:28.003695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd775c2c-a8de-4899-82cd-46079b765f40 · 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 LumberChunker: Long-Form Narrative Document Segmentation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:45.952568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e258654-2f81-4f3b-aa2a-86371125e089 · inbound

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

Can LLMs Replace Humans During Code Chunking? LumberChunker: Long-Form Narrative Document Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:14.191814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60530762-2a9c-476b-8542-5c47402c88cb · inbound

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

Semantic Source Code Segmentation using Small and Large Language Models LumberChunker: Long-Form Narrative Document Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:05.999683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea548bb4-4358-4d34-b351-1b0a23036f6a · inbound

MultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents cites this paper.

MultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents LumberChunker: Long-Form Narrative Document Segmentation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:45:39.476842Z

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.

Observation fd865570-bbb8-4fda-a228-93f7e73a70f4 · inbound

M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models cites this paper.

M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models LumberChunker: Long-Form Narrative Document Segmentation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:09:20.507915Z

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.

Observation ff500ad8-f92c-47fc-a0b8-3a165e3103e4 · inbound

Chunking German Legal Code cites this paper.

Chunking German Legal Code LumberChunker: Long-Form Narrative Document Segmentation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:33:05.589805Z

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.

Observation eb20c57d-6d8d-4359-a789-97f5ee7c45e2 · inbound

Chunking German Legal Code cites this paper.

Chunking German Legal Code LumberChunker: Long-Form Narrative Document Segmentation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:25:00.140691Z

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.

Observation e097b52f-ecdb-4e3a-8550-225d4d4f3605 · inbound

Right Reset: Chunking by Prefix Removal cites this paper.

Right Reset: Chunking by Prefix Removal LumberChunker: Long-Form Narrative Document Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T19:44:38.348494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.