Paper Citation Record · LEDGER

Semantic Source Code Segmentation using Small and Large Language Models

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2507.08992.

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

pith.paper-citation-record.v1
2507.08992 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:14:06.430966Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T18:24:14.848351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:26:43.754522Z

Reference resolution

42 of 42 outbound references displayed

verified exact4
verified fuzzy13
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09e7a8ff-09eb-4a86-b91b-d71589d4abad · outbound

This paper cites GPT-4 Technical Report.

Semantic Source Code Segmentation using Small and Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:05.182319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5719370e-5cb1-4101-8a1d-b4b47eb5c381 · outbound

This paper cites Monitor-guided decoding of code lms with static analysis of repository context.

Semantic Source Code Segmentation using Small and Large Language Models Monitor-guided decoding of code lms with static analysis of repository context

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.237557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 47fd636d-a19f-4f9b-9245-3daf2fa244a3 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Semantic Source Code Segmentation using Small and Large Language Models The claude 3 model family: Opus, sonnet, haiku

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:05.351496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77ce6ce-952f-488b-8fff-afac19e35d8e · outbound

This paper cites Experience with GitHub Copilot for Developer Productivity at Zoominfo.

Semantic Source Code Segmentation using Small and Large Language Models Experience with GitHub Copilot for Developer Productivity at Zoominfo

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:05.433827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f681f682-2876-4242-98f0-cce72ee09cda · outbound

This paper cites Improving Segmentation for Technical Support Problems.

Semantic Source Code Segmentation using Small and Large Language Models Improving Segmentation for Technical Support Problems

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:14:06.896220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d344381-90d3-47cb-a53b-1997c2d5306f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Semantic Source Code Segmentation using Small and Large Language Models Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:05.637926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f62be24-d7e4-44c3-8127-3ea61553da72 · outbound

This paper cites Advances in domain independent linear text segmentation.

Semantic Source Code Segmentation using Small and Large Language Models Advances in domain independent linear text segmentation

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:14:06.853162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a0a3d9d-4c04-4352-87be-812b6f3b9494 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Semantic Source Code Segmentation using Small and Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:05.781656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93da85aa-9701-4565-be52-baa7871d0497 · outbound

This paper cites GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding.

Semantic Source Code Segmentation using Small and Large Language Models GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:05.849772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9982aa18-6f5e-4434-9f6e-3631ae910107 · outbound

This paper cites Logical Segmentation of Source Code.

Semantic Source Code Segmentation using Small and Large Language Models Logical Segmentation of Source Code

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:14:06.792889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

This paper cites LumberChunker: Long-Form Narrative Document Segmentation.

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 38e6c7cd-620f-44ae-86b4-592c41901aaf · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Semantic Source Code Segmentation using Small and Large Language Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:06.126279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6b7f47-6a3f-4ab7-aeda-5037c4ffe9e7 · outbound

This paper cites The limits of the identifiable: Challenges in python version identification with deep learning.

Semantic Source Code Segmentation using Small and Large Language Models The limits of the identifiable: Challenges in python version identification with deep learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.197133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a6c2fbe-9d23-4453-b8f0-1fe3d9bafab6 · outbound

This paper cites Topic segmentation of semi-structured and unstructured conversational datasets using language models.

Semantic Source Code Segmentation using Small and Large Language Models Topic segmentation of semi-structured and unstructured conversational datasets using language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.180963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 338c9c17-c485-4cd9-a1a2-3da721b00ed3 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Semantic Source Code Segmentation using Small and Large Language Models DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:06.408039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41fd656c-0d31-4d14-84cf-b553a7db0da9 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Semantic Source Code Segmentation using Small and Large Language Models Qwen2.5-Coder Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:13:06.480669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 816731af-b5ba-4564-b9d7-a77b4c9f4893 · outbound

This paper cites Topic segmentation and labeling in asynchronous conversations.

Semantic Source Code Segmentation using Small and Large Language Models Topic segmentation and labeling in asynchronous conversations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.163912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff1c3f9b-44bf-472c-86a8-7a39ce3bcd9e · outbound

This paper cites Text Segmentation as a Supervised Learning Task.

Semantic Source Code Segmentation using Small and Large Language Models Text Segmentation as a Supervised Learning Task

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.166674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750001ce-a999-4303-abf3-a3de6e30c3e5 · outbound

This paper cites The measurement of observer agreement for categorical data.

Semantic Source Code Segmentation using Small and Large Language Models The measurement of observer agreement for categorical data

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.147986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b03177cc-6cc8-4886-8257-fd83b128e5ed · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Semantic Source Code Segmentation using Small and Large Language Models StarCoder 2 and The Stack v2: The Next Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.257855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b114f65-c8b6-44fd-8faf-bf13eb0c2acc · outbound

This paper cites Text Segmentation by Cross Segment Attention.

Semantic Source Code Segmentation using Small and Large Language Models Text Segmentation by Cross Segment Attention

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:14:06.656030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64cda335-2d9e-4266-b79c-8d2d921c8338 · outbound

This paper cites Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs.

Semantic Source Code Segmentation using Small and Large Language Models Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.271650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a13d50-1815-45b6-82c6-0335e3099149 · outbound

This paper cites Evaluating ai-based code segmentation for abap programs in an industrial use case.

Semantic Source Code Segmentation using Small and Large Language Models Evaluating ai-based code segmentation for abap programs in an industrial use case

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.128464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 19c379a7-d2f1-47df-8d60-8a847da3f1cb · outbound

This paper cites Beamseg: A joint model for multi-document segmentation and topic identification.

Semantic Source Code Segmentation using Small and Large Language Models Beamseg: A joint model for multi-document segmentation and topic identification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.112755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db4aa14f-a804-4390-b5cb-a432b82360ed · outbound

This paper cites CodeGen2: Lessons for Training LLMs on Programming and Natural Languages.

Semantic Source Code Segmentation using Small and Large Language Models CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.296411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec221f42-1d6e-4195-932f-3858574aecde · outbound

This paper cites Automated support for legacy code understanding.

Semantic Source Code Segmentation using Small and Large Language Models Automated support for legacy code understanding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.093788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44efb3c7-5187-4871-8314-6c8a6e217047 · outbound

This paper cites Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space.

Semantic Source Code Segmentation using Small and Large Language Models Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.329912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281a68cb-8419-486f-a3ea-cd5d1008d3da · outbound

This paper cites Topictiling: a text segmentation algorithm based on lda.

Semantic Source Code Segmentation using Small and Large Language Models Topictiling: a text segmentation algorithm based on lda

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.074454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4460500b-3e5a-4c88-9cee-8eca6994d519 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Semantic Source Code Segmentation using Small and Large Language Models Code Llama: Open Foundation Models for Code

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.343323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de14e9b-3e7a-4019-b5d9-9aa5fbcb355b · outbound

This paper cites Unsupervised Topic Segmentation of Meetings with BERT Embeddings.

Semantic Source Code Segmentation using Small and Large Language Models Unsupervised Topic Segmentation of Meetings with BERT Embeddings

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.349554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2188a8eb-b8b7-4f7f-b0dc-3b1d103f4f19 · outbound

This paper cites Chaos to clarity with semantic inferencing for python source code snippets.

Semantic Source Code Segmentation using Small and Large Language Models Chaos to clarity with semantic inferencing for python source code snippets

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.057429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cbf3f1ee-b036-42ce-b29c-62457aaec833 · outbound

This paper cites Linguistic approach to segmenting source code.

Semantic Source Code Segmentation using Small and Large Language Models Linguistic approach to segmenting source code

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.034546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45b2d580-965c-44f0-834c-c603bc2f61b0 · outbound

This paper cites Text Classification via Large Language Models.

Semantic Source Code Segmentation using Small and Large Language Models Text Classification via Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.368007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ecd070-83dc-4f30-aa50-6c063fae7f68 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Semantic Source Code Segmentation using Small and Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.374612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19806ad2-d762-4ed0-9838-1e3f8ff1f20b · outbound

This paper cites Automatic segmentation of method code into meaningful blocks to improve readability.

Semantic Source Code Segmentation using Small and Large Language Models Automatic segmentation of method code into meaningful blocks to improve readability

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:07.015842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a7c71e1-4a5b-41e7-9338-149820dd4c53 · outbound

This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Semantic Source Code Segmentation using Small and Large Language Models CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.388934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ca5300-8a9c-4980-bd76-bf664ce9b666 · outbound

This paper cites Coral: Code representation learning with weakly-supervised transformers for analyzing data analysis.

Semantic Source Code Segmentation using Small and Large Language Models Coral: Code representation learning with weakly-supervised transformers for analyzing data analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.998957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

This paper cites Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception.

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 324b123f-c5c9-4750-b15c-607fd731f963 · outbound

This paper cites write newline.

Semantic Source Code Segmentation using Small and Large Language Models write newline

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.410607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0189ae8c-8df2-4df3-9598-e7f34c913c89 · outbound

This paper cites @esa (Ref.

Semantic Source Code Segmentation using Small and Large Language Models @esa (Ref

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.416782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1023cd00-cd09-4871-8dee-c3645815b728 · outbound

This paper cites an unresolved cited work.

Semantic Source Code Segmentation using Small and Large Language Models Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.424572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d90398-316e-447f-ade9-e6f252e2c762 · outbound

This paper cites an unresolved cited work.

Semantic Source Code Segmentation using Small and Large Language Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:06.430966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a11549c5-5733-4f7e-9e45-71aebebbecb7 · inbound

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? cites this paper.

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction? Semantic Source Code Segmentation using Small and Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:26:43.757215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.