Paper Citation Record · LEDGER

Is Semantic Chunking Worth the Computational Cost?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.13070.

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

pith.paper-citation-record.v1
2410.13070 v1

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 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:13:21.156712Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:19:33.775084Z

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 b83be906-8b2a-45a5-8e1c-ddcc9ad508a9 · inbound

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

Advanced ingestion process powered by LLM parsing for RAG system Is Semantic Chunking Worth the Computational Cost?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:13:21.156712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a319fce-317d-4f9c-b7df-d4830383de03 · inbound

S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis cites this paper.

S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis Is Semantic Chunking Worth the Computational Cost?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:37:54.466862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f165762f-70e8-47dd-b9fc-372ce9921bd6 · inbound

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP cites this paper.

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP Is Semantic Chunking Worth the Computational Cost?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:22.586011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1594dc-30ba-4a4c-bb5e-dad75efd2451 · inbound

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

Can LLMs Replace Humans During Code Chunking? Is Semantic Chunking Worth the Computational Cost?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:13.972177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167dc2b7-f77b-4fcd-a8e5-617acafc1c31 · 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 Is Semantic Chunking Worth the Computational Cost?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T14:39:43.037717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f49813-2636-47b1-bfc6-525b26a53f55 · inbound

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach cites this paper.

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach Is Semantic Chunking Worth the Computational Cost?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:51.821344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c55f7e-229c-4a58-987a-a4e466ab2032 · inbound

Evaluation of Chunking Strategies for Effective Text Embedding in Low-Resource Language on Agricultural Documents cites this paper.

Evaluation of Chunking Strategies for Effective Text Embedding in Low-Resource Language on Agricultural Documents Is Semantic Chunking Worth the Computational Cost?

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:21:10.767666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fce1686a-ca2a-4fff-9b00-2b2ec48fe738 · inbound

Storyline Trees: Hierarchical Representations for Long-Form Narratives cites this paper.

Storyline Trees: Hierarchical Representations for Long-Form Narratives Is Semantic Chunking Worth the Computational Cost?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:19:33.776899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.