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Paper Citation Record · LEDGER

Is Semantic Chunking Worth the Computational Cost?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:22.586011Z

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 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.

source=pdf_text observed=2026-08-07T14:37:22.586011Z digest=sha256:1dc780bcc256901cd769fd2f2b00d3673826dc029c4d12732e3af6a1d2a478fa

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.

source=pdf_text observed=2026-08-06T23:10:13.972177Z digest=sha256:af0f891238322354803ba6c8f913a5d62b3228aa29afad3f75b88234ab30b18d

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.

source=pdf_text observed=2026-08-05T14:39:43.037717Z digest=sha256:b0bfde37d461a04247bfc23abb928141f40f3e18ef55499c1564b0b93dcd2c09

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.

source=arxiv_source observed=2026-08-04T20:03:51.821344Z digest=sha256:ed0a89676176b355f5f9b079e63c2b9729a11dbfec98d0f2d1b49f08c4d6bad6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T06:17:15.637915Z digest=sha256:7b0cbd34a8ea3f390bb72288e2652bf7db89b5fc2610d7636b48430bcbf86411

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:10:05.604537Z digest=sha256:a42db4604875f01065b029b96337002bf011fdc0e7d486693357eb51e2fd58cc