Paper Citation Record · LEDGER

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.05259.

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

pith.paper-citation-record.v1
2607.05259 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-07T21:11:24.867155Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact9
verified fuzzy18
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc7ca576-06fe-466b-b2d0-14743916ae3f · outbound

This paper cites Semeval-2014 task 4: Aspect based sentiment analysis,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Semeval-2014 task 4: Aspect based sentiment analysis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.501477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed0900d5-029c-476c-9303-1f8145b110e5 · outbound

This paper cites Semeval-2015 task 12: Aspect based sentiment analysis,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Semeval-2015 task 12: Aspect based sentiment analysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.466543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7da1de22-2aea-4b4c-988d-56a2a6f829e4 · outbound

This paper cites Semeval-2016 task 5: Aspect based sentiment analysis,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Semeval-2016 task 5: Aspect based sentiment analysis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.471571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a0af798e-05bd-455b-a19a-a4d0033b87d1 · outbound

This paper cites Aspect-based sentiment analysis on mobile application reviews,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Aspect-based sentiment analysis on mobile application reviews,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.480865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba6e5d62-7a88-43e2-9fa5-3f7e5d3e1d39 · outbound

This paper cites Uzabsa: Aspect-based sentiment analysis for the uzbek language,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Uzabsa: Aspect-based sentiment analysis for the uzbek language,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.463818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b1edf83-1c54-457c-9c28-1cc7cd07ae5c · outbound

This paper cites Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.445196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a75e3e1-c3ee-4ce3-9f58-1753a31e106f · outbound

This paper cites Survey on Publicly Available Sinhala Natural Language Processing Tools and Research,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Survey on Publicly Available Sinhala Natural Language Processing Tools and Research,

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-07T21:14:08.431532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ba0f197-5279-4fba-a068-db5be5f22b81 · outbound

This paper cites GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.503974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d5251d3-a12d-42c2-b428-1df729b724f7 · outbound

This paper cites A unified generative framework for aspect-based sentiment analysis,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis A unified generative framework for aspect-based sentiment analysis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.487688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 927fb28d-cec7-4605-8e19-5f69572ce37c · outbound

This paper cites Aspect based sentiment analysis for service industry,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Aspect based sentiment analysis for service industry,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.483050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9846b299-536f-491c-b042-668792faeec8 · outbound

This paper cites BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.449354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e159bfb1-9706-4111-862c-8f3d2d334f14 · outbound

This paper cites Target-aspect-sentiment joint detection for aspect-based sentiment analysis,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Target-aspect-sentiment joint detection for aspect-based sentiment analysis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.485445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1e234da-5e23-4505-ae5b-dd0c1ab81773 · outbound

This paper cites Sentiment Analysis for Sinhala Language using Deep Learning Techniques.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Sentiment Analysis for Sinhala Language using Deep Learning Techniques

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.455718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a90fde91-cfdb-4896-96bd-08d843d3fedc · outbound

This paper cites Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.441403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c057f02a-3173-49a7-b21b-d530190cd832 · outbound

This paper cites Aspect Sentiment Quad Prediction as Paraphrase Generation.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Aspect Sentiment Quad Prediction as Paraphrase Generation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.452255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ae081c1-d2c5-468f-933e-6fea53540f26 · outbound

This paper cites Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.426052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a416e53e-c7fc-4f07-81a3-ef991460e4ec · outbound

This paper cites Aspect-based sentiment analysis advance- ments and applications in code-mixed text and gujarati language process- ing,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Aspect-based sentiment analysis advance- ments and applications in code-mixed text and gujarati language process- ing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.478749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 840799e5-6b12-488b-8383-802a973f789f · outbound

This paper cites EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.436492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 339b9328-b7d7-461b-89d3-6fe73739e0a3 · outbound

This paper cites Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.475433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0311237d-9b00-438a-a450-8b56e7177267 · outbound

This paper cites A coefficient of agreement for nominal scales.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis A coefficient of agreement for nominal scales

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.492562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2ad55c7-c95b-4bad-8819-d45503b06511 · outbound

This paper cites The distribution of the flora in the alpine zone. 1,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis The distribution of the flora in the alpine zone. 1,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.496834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b020076-d3ba-4211-9664-ef9e0178fa73 · outbound

This paper cites DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-07T21:14:08.458769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0903ec1-c03f-4755-827d-f89dc4fcba84 · outbound

This paper cites Language-agnostic BERT sentence embedding,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Language-agnostic BERT sentence embedding,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.498837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9dfe45b6-0215-4a05-975d-4bc85ca47ee5 · outbound

This paper cites Synthesis and evaluation of a domain-specific large data set for dungeons & dragons,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Synthesis and evaluation of a domain-specific large data set for dungeons & dragons,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.469157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0f4d4f7-03e8-4cf5-9340-0838635e65e6 · outbound

This paper cites Text classification using machine learning methods,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Text classification using machine learning methods,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.490341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8b3ffd3-0395-46b5-b7bb-9b47ce9e783a · outbound

This paper cites Enriching Word Vectors with Subword Information,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Enriching Word Vectors with Subword Information,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.461257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 259483a0-e81f-4935-825b-22b094da5290 · outbound

This paper cites Instructabsa: Instruction learning for aspect based sentiment analysis,.

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Instructabsa: Instruction learning for aspect based sentiment analysis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:14:08.494782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.