{"as_of":"2026-08-14T08:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82927c15b0aab561ddcfe3a1f88587dd564cc219afb1fae378e2c3f58fc4508a","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-07T21:11:24.867155Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.05259/citation-record","integrity":"/paper/2607.05259/integrity","json":"/paper/2607.05259/citation-record.json","paper":"/paper/2607.05259"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.499962Z","title":"Semeval-2014 task 4: Aspect based sentiment analysis,","venue":null,"work_id":"f07e45ad-008f-472a-b958-1e5732bebdab","year":2014},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:f2c1d4621d9dd04bede5b0e5c862e85c06253584b9d13b9c0223e176aad72859","observation_id":"cc7ca576-06fe-466b-b2d0-14743916ae3f","resolution":{"observed_at":"2026-07-07T21:14:08.501477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.464551Z","title":"Semeval-2015 task 12: Aspect based sentiment analysis,","venue":null,"work_id":"9bd3d7df-f253-46bb-a996-4b14c35c7a64","year":2015},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:b4d7fc5eba28d31d86da2d32535570f2ccc74810eac3b1f8363c32503d26e72e","observation_id":"ed0900d5-029c-476c-9303-1f8145b110e5","resolution":{"observed_at":"2026-07-07T21:14:08.466543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.469729Z","title":"Semeval-2016 task 5: Aspect based sentiment analysis,","venue":null,"work_id":"61071354-a509-48c8-9a87-e9a48a87e2bf","year":2016},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:081bcb88140ed5545f1509a6d350237a598caf756a82e5a086c4f9b21db6464a","observation_id":"7da1de22-2aea-4b4c-988d-56a2a6f829e4","resolution":{"observed_at":"2026-07-07T21:14:08.471571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.479400Z","title":"Aspect-based sentiment analysis on mobile application reviews,","venue":null,"work_id":"2c19aede-579e-4f6f-bc5f-17c015e2856b","year":2022},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:def00005b86e5bd9c74e2943c10dcb6398c04b6b9179055c6bc362f14010d024","observation_id":"a0af798e-05bd-455b-a19a-a4d0033b87d1","resolution":{"observed_at":"2026-07-07T21:14:08.480865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.461892Z","title":"Uzabsa: Aspect-based sentiment analysis for the uzbek language,","venue":null,"work_id":"929e842f-0a13-4a80-8e96-25d81af2ba21","year":2024},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:28ca7e23d9632847cb05afc9ca3eb7ec130871e8694bcff440cd820903b14095","observation_id":"ba6e5d62-7a88-43e2-9fa5-3f7e5d3e1d39","resolution":{"observed_at":"2026-07-07T21:14:08.463818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13545","last_updated":"2025-04-18T08:21:12Z","snapshot_observed_at":"2026-08-09T04:42:37.340906Z","submitted_at":"2025-04-18T08:21:12Z","title":"Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content","version":1},"cited_work":{"arxiv_id":"2504.13545","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.13545","snapshot_observed_at":"2026-07-07T21:14:08.443285Z","title":"Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content","venue":"cs.CL","work_id":"e3563697-f2eb-43cf-b0ae-a849d894d0a9","year":2025},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2504.13545","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:7a9f45bc6e8326923c3eebc0f7b45dbadb119e1705c1ec31780560002448583c","observation_id":"3b1edf83-1c54-457c-9c28-1cc7cd07ae5c","resolution":{"observed_at":"2026-07-07T21:14:08.445196Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1906.02358","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.427503Z","title":"Survey on Publicly Available Sinhala Natural Language Processing Tools and Research,","venue":null,"work_id":"98f429a7-ab2d-4a4b-a910-002b5b063bfd","year":1906},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:656e75760431e24ffbc36879a8ea4bf803a922b3410d9a8192f451f47ac0d3c4","observation_id":"4a75e3e1-c3ee-4ce3-9f58-1753a31e106f","resolution":{"observed_at":"2026-07-07T21:14:08.431532Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.502381Z","title":"GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set,","venue":null,"work_id":"18db019f-0a8e-48db-a103-f4970325c8f7","year":2025},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:3514461dae658c1fa4536649bfdb8ec10a32a340acc25b57627a5735973bdcf2","observation_id":"5ba0f197-5279-4fba-a068-db5be5f22b81","resolution":{"observed_at":"2026-07-07T21:14:08.503974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.486168Z","title":"A unified generative framework for aspect-based sentiment analysis,","venue":null,"work_id":"85e43ff5-11b1-4466-90cc-c6ff90ce1716","year":2021},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:00655e5c0d96a9344d0cadeef60d630ce49bd65e842fdded4b926ac34f743c3f","observation_id":"7d5251d3-a12d-42c2-b428-1df729b724f7","resolution":{"observed_at":"2026-07-07T21:14:08.487688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.481577Z","title":"Aspect based sentiment analysis for service industry,","venue":null,"work_id":"943556f6-64fc-426d-aa3e-74370bf985e8","year":2024},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:d4220e5dcc062b5193679bd3a1851306f979eb9bc7e1c153f7a39264090462ee","observation_id":"927fb28d-cec7-4605-8e19-5f69572ce37c","resolution":{"observed_at":"2026-07-07T21:14:08.483050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.00171","last_updated":"2021-10-01T02:03:43Z","snapshot_observed_at":"2026-08-13T18:01:06.097594Z","submitted_at":"2021-10-01T02:03:43Z","title":"BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification","version":1},"cited_work":{"arxiv_id":"2110.00171","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.00171","snapshot_observed_at":"2026-07-07T21:14:08.446647Z","title":"BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification","venue":"cs.CL","work_id":"7a910ba2-f779-47b2-bf3b-97fc1b48d7d6","year":2021},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2110.00171","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:ec90e6015bddf64632740b3d325c30e73c2e70ce79c5ba70f4640dda568ef7b2","observation_id":"9846b299-536f-491c-b042-668792faeec8","resolution":{"observed_at":"2026-07-07T21:14:08.449354Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.483775Z","title":"Target-aspect-sentiment joint detection for aspect-based sentiment analysis,","venue":null,"work_id":"ece97e87-dc8d-443e-bf2b-a697afb1b88a","year":2020},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:06a15516da0bbb6dcaf01ca83734deb4677d73522cf3d3162354102dbd2570fa","observation_id":"e159bfb1-9706-4111-862c-8f3d2d334f14","resolution":{"observed_at":"2026-07-07T21:14:08.485445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.07280","last_updated":"2020-11-14T12:02:30Z","snapshot_observed_at":"2026-08-04T05:43:26.592257Z","submitted_at":"2020-11-14T12:02:30Z","title":"Sentiment Analysis for Sinhala Language using Deep Learning Techniques","version":1},"cited_work":{"arxiv_id":"2011.07280","doi":null,"metadata_source":"pith","pith_arxiv_id":"2011.07280","snapshot_observed_at":"2026-07-07T21:14:08.453818Z","title":"Sentiment Analysis for Sinhala Language using Deep Learning Techniques","venue":"cs.CL","work_id":"a6d805aa-d7bb-4e1b-90bd-fbbdb645590f","year":2020},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2011.07280","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:e6008077a2a16c57cb061ad9e7f24393245c1d620645bfca34346dd0f26901c0","observation_id":"e1e234da-5e23-4505-ae5b-dd0c1ab81773","resolution":{"observed_at":"2026-07-07T21:14:08.455718Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10679","last_updated":"2025-04-14T20:01:34Z","snapshot_observed_at":"2026-08-10T08:08:04.738923Z","submitted_at":"2025-04-14T20:01:34Z","title":"Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content","version":1},"cited_work":{"arxiv_id":"2504.10679","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10679","snapshot_observed_at":"2026-07-07T21:14:08.438712Z","title":"Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content","venue":"cs.CL","work_id":"7aca2732-ebce-479d-bb1a-70170087bea1","year":2025},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2504.10679","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:8b0e9c4adaef880c2cb51b01e119dedcc074527d4f09bfa0dac003877621d396","observation_id":"a90fde91-cfdb-4896-96bd-08d843d3fedc","resolution":{"observed_at":"2026-07-07T21:14:08.441403Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.00796","last_updated":"2021-10-02T12:57:27Z","snapshot_observed_at":"2026-08-14T02:14:25.689407Z","submitted_at":"2021-10-02T12:57:27Z","title":"Aspect Sentiment Quad Prediction as Paraphrase Generation","version":1},"cited_work":{"arxiv_id":"2110.00796","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.00796","snapshot_observed_at":"2026-07-07T21:14:08.450774Z","title":"Aspect Sentiment Quad Prediction as Paraphrase Generation","venue":"cs.CL","work_id":"30082d89-2563-4e40-bb5b-5cb6e85e0424","year":2021},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2110.00796","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:07c09de8d719e868ab37d5ac817e8d19819ff0fdda79ced61826309051fff6d6","observation_id":"c057f02a-3173-49a7-b21b-d530190cd832","resolution":{"observed_at":"2026-07-07T21:14:08.452255Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18633","last_updated":"2025-01-28T09:46:45Z","snapshot_observed_at":"2026-08-14T08:20:59.490388Z","submitted_at":"2025-01-28T09:46:45Z","title":"Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study","version":1},"cited_work":{"arxiv_id":"2501.18633","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.18633","snapshot_observed_at":"2026-07-07T21:14:08.423533Z","title":"Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study","venue":"cs.CL","work_id":"010e9a73-cb0a-4588-8401-bc386c373e32","year":2025},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2501.18633","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:b924e098301d3f9004a83754e4a038b1ccd03ffcb7c99df872f16d9c6aeeedd7","observation_id":"5ae081c1-d2c5-468f-933e-6fea53540f26","resolution":{"observed_at":"2026-07-07T21:14:08.426052Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.476850Z","title":"Aspect-based sentiment analysis advance- ments and applications in code-mixed text and gujarati language process- ing,","venue":null,"work_id":"25165f86-3cca-427d-ac69-6d343b637e5c","year":2025},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:9bbb879aa2b861cfbd9de71c38657eb10637ef1f14f0cb7116d1f29fe8eb50ed","observation_id":"a416e53e-c7fc-4f07-81a3-ef991460e4ec","resolution":{"observed_at":"2026-07-07T21:14:08.478749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.17008","last_updated":"2026-04-18T00:00:58Z","snapshot_observed_at":"2026-08-09T02:53:51.659952Z","submitted_at":"2025-08-23T12:38:40Z","title":"EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks","version":2},"cited_work":{"arxiv_id":"2508.17008","doi":"10.48550/arxiv.2508.17008","metadata_source":"pith","pith_arxiv_id":"2508.17008","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks","venue":"cs.CL","work_id":"ec9ad377-5309-4c5b-baf8-723dff0024d3","year":2025},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2508.17008","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:76f07c7ee9ae82ca6fb576357772c6299c7844bc88b091f2b27fa305e73856fd","observation_id":"840799e5-6b12-488b-8383-802a973f789f","resolution":{"observed_at":"2026-07-07T21:14:08.436492Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.472503Z","title":"Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods,","venue":null,"work_id":"ba70816d-d049-4c7e-ab46-e4c82119bee6","year":2016},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:4190f33f87dec4c154c625968514177bcd7dd0585ececd8ed9279230037ef625","observation_id":"339b9328-b7d7-461b-89d3-6fe73739e0a3","resolution":{"observed_at":"2026-07-07T21:14:08.475433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.491067Z","title":"A coefficient of agreement for nominal scales","venue":null,"work_id":"99edbfae-ecfd-439f-89aa-14a3b4d013c5","year":1960},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:a674b0eb38bb989675624413be81c94367dbfea7fdccc335cb46f388858c1bd5","observation_id":"0311237d-9b00-438a-a450-8b56e7177267","resolution":{"observed_at":"2026-07-07T21:14:08.492562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.495567Z","title":"The distribution of the flora in the alpine zone. 1,","venue":null,"work_id":"ca678437-3c00-4042-9e13-a9f76978f9a9","year":1912},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:a62a99ebd8dc6587e3107a538bb6a894d9c9876c7a9dba842bda1f5bf9886071","observation_id":"c2ad55c7-c95b-4bad-8819-d45503b06511","resolution":{"observed_at":"2026-07-07T21:14:08.496834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.23022","last_updated":"2026-04-24T11:39:16Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-30T14:30:35Z","title":"DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis","version":3},"cited_work":{"arxiv_id":"2601.23022","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.23022","snapshot_observed_at":"2026-07-07T21:14:08.457248Z","title":"DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis","venue":"cs.CL","work_id":"62ec8d06-a0f5-4f66-8b2c-b08a2503478c","year":2026},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"cited_paper":"/paper/2601.23022","citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:5be69f3211aae2b5834e464e166739f88c9a879f1c2c9ba3dc51b4cad60d7c90","observation_id":"1b020076-d3ba-4211-9664-ef9e0178fa73","resolution":{"observed_at":"2026-07-07T21:14:08.458769Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.497480Z","title":"Language-agnostic BERT sentence embedding,","venue":null,"work_id":"99ad98ed-962e-4813-9620-402b8f7bfe04","year":2022},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:81057416e74c26d4ae1fd660cfb2108dd1863f155a0f4fedd5f0ba1d1410f0d6","observation_id":"f0903ec1-c03f-4755-827d-f89dc4fcba84","resolution":{"observed_at":"2026-07-07T21:14:08.498837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.467206Z","title":"Synthesis and evaluation of a domain-specific large data set for dungeons & dragons,","venue":null,"work_id":"084d267a-fdb7-4631-9828-8bd65b42a8a5","year":2022},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:579d9ca9fc909687cfa2ffa073ffd88a48f1b8f2f8d3b966d6a41d81c4a67e49","observation_id":"9dfe45b6-0215-4a05-975d-4bc85ca47ee5","resolution":{"observed_at":"2026-07-07T21:14:08.469157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.488892Z","title":"Text classification using machine learning methods,","venue":null,"work_id":"cab0b6e8-0a4b-4a12-baa2-bb4436e707bd","year":2023},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:2d41f370b6fb58e17e5723e3730507a88ac23a919eb31e7d53b3d56f0fd4548a","observation_id":"d0f4d4f7-03e8-4cf5-9340-0838635e65e6","resolution":{"observed_at":"2026-07-07T21:14:08.490341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.459588Z","title":"Enriching Word Vectors with Subword Information,","venue":null,"work_id":"5ac2c282-b558-421a-a69d-8d819c84cda1","year":2017},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:1158d1b94b78d0f235600539751e7a99d6f931b696e6462817a382b90a6c1628","observation_id":"c8b3ffd3-0395-46b5-b7bb-9b47ce9e783a","resolution":{"observed_at":"2026-07-07T21:14:08.461257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T21:14:08.493398Z","title":"Instructabsa: Instruction learning for aspect based sentiment analysis,","venue":null,"work_id":"f146ce88-c8c9-42ba-b17c-08ceef2ff0c3","year":2024},"citing_paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-07T21:11:24.867155Z"},"links":{"citing_paper":"/paper/2607.05259"},"observation_digest":"sha256:533be5ba43a0a4d1e1d097c25f24a3138babc76c69afa7b5c3de724c9deae8d2","observation_id":"259483a0-e81f-4935-825b-22b094da5290","resolution":{"observed_at":"2026-07-07T21:14:08.494782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05259","last_updated":"2026-07-06T16:05:26Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T04:42:11.173831Z","submitted_at":"2026-07-06T16:05:26Z","title":"SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":9,"verified_fuzzy":18},"total_outbound_references":27},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"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."}