Pith. sign in

Paper Citation Record · LEDGER

S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis

As of 19 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 3 inbound Pith citation observations for arXiv:2501.05485.

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

pith.paper-citation-record.v1
2501.05485 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:37:54.477646Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:05:56.740055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.510758Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc7eb4dd-a280-4aa1-abdd-a1ffcc1a30eb · outbound

This paper cites Fixed-size chunking for efficient text processing.

S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis Fixed-size chunking for efficient text processing

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:37:54.572037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:37:54.460491Z digest=sha256:b1be4b72d4ccab40a432ce5e260e663fe42b016d92806a776ac5b4556fa4ef3a

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

This paper cites Is Semantic Chunking Worth the Computational Cost?.

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.

source=pdf_text observed=2026-08-10T21:37:54.466862Z digest=sha256:8e173b22f91f93944696d3e16f9cbfbcf787c955ce90ae3a6ae08126a12ac51c

Observation 96d006e0-3ca1-499a-af52-2b75829febde · outbound

This paper cites Recursive chunking for hierarchical document anal- ysis.

S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis Recursive chunking for hierarchical document anal- ysis

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:37:54.555398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:37:54.472466Z digest=sha256:e3740891e3b55ab86ee419b792348d814ebbad4b39f499f4e12fda6be7e8b0b2

Observation 76cdf907-86a3-4a15-b28b-46f28f94934e · outbound

This paper cites Challenges in semantic chunking of scientific documents.

S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis Challenges in semantic chunking of scientific documents

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:37:54.537232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:37:54.477646Z digest=sha256:b888fc421710d0b0bee4276af58534d88e8df2cf284210b591b0efd7b731c30b

Pith citing papers

Observation 0297e686-d812-48c6-825e-4c482486bd6f · inbound

Enhancing Document VQA Models via Retrieval-Augmented Generation cites this paper.

Enhancing Document VQA Models via Retrieval-Augmented Generation S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T16:05:56.740055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:05:56.740055Z digest=sha256:4f7a92056ab0481831ea03bb1fa98157bd64055cea4661b2849ccf7865b3f87f

Observation 34f6a67d-bc85-406e-8822-7d73198246fa · 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 S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-05T14:39:45.173113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:39:45.173113Z digest=sha256:fef268259301db59ba4ac60f6389d8688ab636765538eaf2f4a205e7c0dcb00b

Observation 33059fb7-12d8-46a6-8cdb-679e48de8af7 · 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 S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.512394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T18:39:29.196528Z digest=sha256:eb827ab8271e409c0eac32a6ce0fc5114a0d8a86b2117c7ed8c2f5e10d8e4b69