{"as_of":"2026-08-13T03:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:215a8425608b18ea10ee51b64ef18fbd6d48f995a355eff703b5f586f24957b0","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:58:25.312915Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2507.12126/citation-record","integrity":"/paper/2507.12126/integrity","json":"/paper/2507.12126/citation-record.json","paper":"/paper/2507.12126"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:34.828193Z","title":null,"venue":null,"work_id":"76bffa96-fe6d-47b0-96d7-19c54736d8b3","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:19.931610Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:e8d7dc3a774d751afd9caecb4ffc9373aa23aa1fd9d96b539428dcf2a596585d","observation_id":"0dd2406b-f1eb-4d8d-a437-18444fc9792b","resolution":{"observed_at":"2026-08-06T16:58:34.911400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:34.563710Z","title":null,"venue":null,"work_id":"160e1ddf-f2ba-4a96-bc3c-eea238186b49","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.001086Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:d7d5659cc64fcafe84571a72cbd14958a6e77daef08f981c234da60713519906","observation_id":"bbeb9cdd-b2cf-480e-9d04-39f3cf40537d","resolution":{"observed_at":"2026-08-06T16:58:34.684483Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:34.244354Z","title":"hot” and “cold","venue":null,"work_id":"6187473d-8a88-4df7-b2b7-507bbb51680d","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.106296Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:ef81a2dc5405d3216a484542def66cce2070db8b9eaea7a20002e86fc4e66eed","observation_id":"7d83607f-cbc3-4691-9000-14a29942345d","resolution":{"observed_at":"2026-08-06T16:58:34.388993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:33.490578Z","title":"Topic models","venue":null,"work_id":"01f51474-34dd-4490-bbce-cd814a70d722","year":2009},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.514554Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:d82613c2dc6af40397c0dd8ddbca0be4a257bd7821fc28a39197b705608a2337","observation_id":"d322a2aa-a877-4f1b-8cd6-d59842f1d06a","resolution":{"observed_at":"2026-08-06T16:58:33.593582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:33.224634Z","title":"Enhancing BERTopic with Pre-Clustered Knowledge: Reducing Feature Sparsity in Short Text Topic Modeling,","venue":null,"work_id":"b7696601-6552-4d8d-aa56-a5fa3c2c943d","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.588328Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:3a8a9dc48dd0445f638f524b6770c0cfafbb5757800dd553a4a01a14fcb48208","observation_id":"b8c357eb-8ed0-49c6-a4f1-734e96ab3555","resolution":{"observed_at":"2026-08-06T16:58:33.340117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11042-022-13428-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"Natural language processing: state of the art, current trends and challenges,","venue":"Multimedia Tools and Applications","work_id":"5960b660-e6d0-4bb0-8d13-e14a9a23169a","year":2023},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.274771Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:a1a927c216dc9cc487d22ba3eafe91ca9da991b37b864fc0bf99c8cf2aa08f49","observation_id":"41dd7e58-5a71-4d7c-9597-317aecf8a851","resolution":{"observed_at":"2026-08-06T16:58:25.844950Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:20.364455Z","title":"A survey on sentiment analysis methods, applications, and challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.364455Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:a7aadcf075dd30070c4942dc1d59e6e45f817ae5a9a34bc2376e39d0ff7f9c59","observation_id":"39a23df3-eb7b-4bd6-b31d-39f2afa91da6","resolution":{"observed_at":"2026-08-06T16:58:20.364455Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:33.721957Z","title":"A complete process of text classification system using state‐of‐the‐art NLP models","venue":null,"work_id":"195a22f2-13db-4db8-8274-5f254a570f89","year":2022},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.446827Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:8f61a8bda643174a7df11d7a30a3f47d4a43ebe1ac78379a2f1fed9003f2ae5a","observation_id":"1ffa23f0-9255-4884-ac1f-e20c9d17079a","resolution":{"observed_at":"2026-08-06T16:58:33.856875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:32.589053Z","title":"Topic Modeling for Small Data using Generative LLMs","venue":null,"work_id":"c788b659-bf2a-440d-a1f5-bf7b00a2cbc9","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.907378Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:750d5824378e81c807a45a8419168f2f21fd2f1abc0cec91b04aeef6a2ae970a","observation_id":"7bf00176-e150-4f8c-8a5a-e052792c83ce","resolution":{"observed_at":"2026-08-06T16:58:32.694026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:32.400856Z","title":"An empirical survey of data augmentation for limited data learning in NLP,","venue":null,"work_id":"ff6522b3-fb50-42d7-8552-7d316cad9b40","year":2023},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.960970Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:d225c77235bb486191917087d051a42bf4646b5489e04f1bf220b614bec07134","observation_id":"2f201c8c-f826-4f3f-a992-f2a5afe63dab","resolution":{"observed_at":"2026-08-06T16:58:32.491249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:20.666645Z","title":"Building the Bridge: Topic Modeling for Comparative Research,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.666645Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:aae860a5d85311a624b0b3b281b58511a84026f04724ab12c00c9f0e2220e4c4","observation_id":"4b70ffac-6a89-4b12-85cd-43683124c16a","resolution":{"observed_at":"2026-08-06T16:58:20.666645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:33.004852Z","title":"Latent dirichlet allocation,","venue":null,"work_id":"40eb98f0-ea75-4770-a83f-ea997ffbc6b4","year":2003},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.744656Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:4c5c3425848cff366cb0c5d367d63c3e97d17b340c0c859b19e1712f94c091d3","observation_id":"58df5a73-9e4a-4b19-9003-54b5067935ac","resolution":{"observed_at":"2026-08-06T16:58:33.122509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:32.806518Z","title":"Topic modeling for the social sciences,","venue":null,"work_id":"eedda224-4411-426b-a5d5-cb4dfc91abbb","year":2009},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.844991Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:9d255d7f9e72f3b7aa6bdcc2736d16146ea17497eb88e78a845d497dfd295d79","observation_id":"c8ed2da4-2584-4ff9-9522-057c349c5de9","resolution":{"observed_at":"2026-08-06T16:58:32.896601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1612.03651","last_updated":"2016-12-12T12:51:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-12-12T12:51:03Z","title":"FastText.zip: Compressing text classification models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1612.03651","snapshot_observed_at":"2026-08-06T16:58:21.213581Z","title":"Fasttext. zip: Compressing text classification models,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.213581Z"},"links":{"cited_paper":"/paper/1612.03651","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:e1bce6f03b97a4abfe501ece82c3488a500d0da5ffceead30e4a29765d670b04","observation_id":"b78db2d6-54c0-4aaf-b9c5-45afa382e57b","resolution":{"observed_at":"2026-08-06T16:58:21.213581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:31.994305Z","title":"Glove: Global vectors for word representation,","venue":null,"work_id":"9c5c3db2-9db8-4ea6-8d94-71ef6872fb04","year":2014},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.321967Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:87f69fa2ca9dc5a79b57cf6dffe8f656a7caf8288b387d1b7e27058db6f2e3b0","observation_id":"8252fe15-5140-4f27-8581-a6670bb11252","resolution":{"observed_at":"2026-08-06T16:58:32.098366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:32.207070Z","title":"Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages,","venue":null,"work_id":"6b059218-5aa5-4b7c-9cae-54ccbf9f69de","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.015167Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:ce5bd86d05dcd83db97286dadabc869e0d997aed5aa2aafdf4887633f218d177","observation_id":"088ca9e4-5222-4f57-966c-25c3488a7d90","resolution":{"observed_at":"2026-08-06T16:58:32.296399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.10015","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:26.969145Z","title":"Data expansion using back translation and paraphrasing for hate speech detection,","venue":null,"work_id":"96147779-5d9d-4350-8c47-72486ec70f6c","year":2021},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.081789Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:df0bf0586bf1a0e648d058c9376c69d45b34594b5f655ced9a733a67ce3601e0","observation_id":"5c445b69-a5ff-472c-ad3e-0527e5df4ad1","resolution":{"observed_at":"2026-08-06T16:58:27.043145Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.11196","last_updated":"2019-08-25T23:11:07Z","snapshot_observed_at":"2026-08-10T16:55:05.317569Z","submitted_at":"2019-01-31T03:20:52Z","title":"EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.11196","snapshot_observed_at":"2026-08-06T16:58:21.151937Z","title":"Eda: Easy data augmentation techniques for boosting performance on text classification tasks,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.151937Z"},"links":{"cited_paper":"/paper/1901.11196","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:07fca694f3d63f6998648d3e2e8c294b588baee75380ac58ed03fb100b1cf907","observation_id":"7ec3effb-2a4d-493b-9ab5-d78adffcce4d","resolution":{"observed_at":"2026-08-06T16:58:21.151937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:21.613265Z","title":"ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.613265Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:754f16e7c04203aa0ffc18b186738a79b81dc542467e04359a7c56c1bd1c77bb","observation_id":"46ad9e76-77b0-4645-a7c6-f965071b8d0b","resolution":{"observed_at":"2026-08-06T16:58:21.613265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:21.381913Z","title":"Semantic Drift in Multilingual Representations,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.381913Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:4c3563ead6cb12afe7bfb718d8be408d8308abb26480576b3376f576807aee09","observation_id":"55d66b7b-8e08-46ea-89fc-28e8394a6b02","resolution":{"observed_at":"2026-08-06T16:58:21.381913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:31.797322Z","title":"GPT-4o mini: advancing cost -efficient intelligence","venue":null,"work_id":"95013015-2298-49bd-99f9-d2caf5da13aa","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.457980Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:51769f44b39ef7402b981445c10bd724fc4d4d77ec00d69e3c287e66109365c8","observation_id":"3599e7c1-2232-46d5-8c5e-f72da139b266","resolution":{"observed_at":"2026-08-06T16:58:31.911134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:31.604256Z","title":"Claude 3.5 Sonnet","venue":null,"work_id":"c85d1564-6ed7-42fc-bad0-be70ba32f3bb","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.530789Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:72b795da324793bf07244c05a1ee1c443bb42d91109bc9ff557a44c741a6b598","observation_id":"22aa39a8-2d24-47a2-a32f-98309f386c6f","resolution":{"observed_at":"2026-08-06T16:58:31.683865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:31.212009Z","title":"Identifying Citizen-Related Issues from Social Media Using LLM -Based Data Augmentation,","venue":null,"work_id":"7b1c265f-196b-4d07-90b1-57540213f312","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.883707Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:9801ecbbcb2cc4f50e17cdfa4cefbccbee2c8725372708c7f62ee168e3484d4a","observation_id":"df47457d-58e2-4940-b307-e39be03e336e","resolution":{"observed_at":"2026-08-06T16:58:31.308134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.35084","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:26.487552Z","title":"Exploring ChatGPT- Based Augmentation Strategies for Contrastive Aspect- Based Sentiment Analysis,","venue":null,"work_id":"4f4ddaf7-64d2-4a84-85fd-d1deae6c0a3d","year":2025},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.932765Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:a7013e4ae00f49d741b3e546a8e64ed33ec69cc4eab150800572b1dbe260d30c","observation_id":"7f2ef618-90d0-492c-b61d-9a25b4b8b58b","resolution":{"observed_at":"2026-08-06T16:58:26.558982Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/jamia/ocae210","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Evaluating large language models for health -related text classification tasks with public social media data,","venue":"Journal of the American Medical Informatics Association","work_id":"5440b8cf-5eb0-4ec1-99a7-e14b69596227","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.694932Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:2c335f2a8e11060d26e2f1c6599df3885233442e28e09ead266128941a0edb71","observation_id":"010ebd2f-edfa-4245-b088-fe5b80ee6ac2","resolution":{"observed_at":"2026-08-06T16:58:25.611650Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:21.749954Z","title":"ChatGPT Label: Comparing the Quality of Human-Generated and LLM -Generated Annotations in Low -Resource Language NLP Tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.749954Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:3ba8bf7f9800f468fa774b5519d325e98f01c91367303eb701128d8f025a11dd","observation_id":"144d0ea5-9add-4f42-93e5-f51afd9745ba","resolution":{"observed_at":"2026-08-06T16:58:21.749954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:21.821973Z","title":"Leveraging Large Language Models for Code -Mixed Data Augmentation in Sentiment Analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:21.821973Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:6c117c65adf7d5ebc24850a74a0686200adb81f6fd353178802e4796822e10e3","observation_id":"c2e561aa-47c9-4c10-8631-33ab108e6307","resolution":{"observed_at":"2026-08-06T16:58:21.821973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:35.007397Z","title":null,"venue":null,"work_id":"e285aaec-0ae0-4688-9913-7d008326405c","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:19.858584Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:aa5e68ef9d491637e6290ec70e9babd53e98edad83c958450d3b3f8c0653d18a","observation_id":"da150587-6bac-4528-8c46-63e7147b0145","resolution":{"observed_at":"2026-08-06T16:58:35.112962Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-06T16:58:22.180336Z","title":"Sentence- bert: Sentence embeddings using siamese bert-networks,","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.180336Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:3000979de5cd8554e209ffe923349c5794fa6d7c08687960b3d2ea800b2c24ac","observation_id":"2ccc0a5d-178b-4881-ba6e-36395bdacc3e","resolution":{"observed_at":"2026-08-06T16:58:22.180336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:31.403509Z","title":"Auggpt: Leveraging chatgpt for text data augmentation","venue":null,"work_id":"8226508e-df1b-4bca-af3d-30f3ec9882d5","year":2025},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.011182Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:0c2575f1a1b78ead3ebca657828183cbf012c13be9d5449698640a88a59a70e9","observation_id":"f4f7253a-9c32-4096-9f6a-e761323ed0c6","resolution":{"observed_at":"2026-08-06T16:58:31.506677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14288","last_updated":"2023-10-22T22:57:00Z","snapshot_observed_at":"2026-07-06T15:31:41.985646Z","submitted_at":"2023-05-23T17:33:27Z","title":"LLM-powered Data Augmentation for Enhanced Cross-lingual Performance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14288","snapshot_observed_at":"2026-08-06T16:58:22.074104Z","title":"LLM -powered data augmentation for enhanced cross -lingual performance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.074104Z"},"links":{"cited_paper":"/paper/2305.14288","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:215532aaf22cbd1c96f8b8a31107d28576b146f2b7bd2652831c9b41dd0421c9","observation_id":"076175c7-0c3f-4d4a-96fd-1c6853bdae45","resolution":{"observed_at":"2026-08-06T16:58:22.074104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:31.032432Z","title":"Bleu: a method for automatic evaluation of machine translation,","venue":null,"work_id":"455aa24c-ad35-451c-a82c-37cfe03f933d","year":2002},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.154844Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:1c1229db1972858ebd04a71ad79902456d193609f72a19eca88e1617b719a64c","observation_id":"e7757ed1-b1e8-4b07-af58-9baf6f08c7c0","resolution":{"observed_at":"2026-08-06T16:58:31.107524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:30.849857Z","title":"Rouge: A package for automatic evaluation of summaries,","venue":null,"work_id":"afb0f4b9-8836-4f64-9e34-928ae19396fb","year":2004},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.175359Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:2d0ff81122571b4f526244b371c3c4f0a4c10cdf708c8ad25ff385db6f96f766","observation_id":"87d7fdc4-b423-41dd-9ba8-e33f61ba7d17","resolution":{"observed_at":"2026-08-06T16:58:30.934350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.02173","last_updated":"2018-02-24T19:44:38Z","snapshot_observed_at":"2026-07-06T06:08:03.192267Z","submitted_at":"2017-11-06T20:59:58Z","title":"Synthetic and Natural Noise Both Break Neural Machine Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.02173","snapshot_observed_at":"2026-08-06T16:58:22.680940Z","title":"Synthetic and natural noise both break neural machine translation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.680940Z"},"links":{"cited_paper":"/paper/1711.02173","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:0e44b4ca4d14c0b61e14b54cb1552f1033e668b07dd8dcbf06a647bb92d5dd93","observation_id":"e2f41cdf-65c5-4222-af76-629810f80911","resolution":{"observed_at":"2026-08-06T16:58:22.680940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:22.279906Z","title":"Statistical Uncertainty in Word Embeddings: GloVe- V,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.279906Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:f0e65cc0d8517863bc2115982c5311746af71d9dabb7f9d430b842ecadb8f117","observation_id":"2557f974-8337-4a23-b7e0-12c99ff7e9cd","resolution":{"observed_at":"2026-08-06T16:58:22.279906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14835","last_updated":"2023-10-09T07:26:40Z","snapshot_observed_at":"2026-08-11T20:08:21.231063Z","submitted_at":"2023-05-24T07:40:06Z","title":"SummIt: Iterative Text Summarization via ChatGPT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14835","snapshot_observed_at":"2026-08-06T16:58:22.356870Z","title":"Summit: Iterative text summarization via chatgpt,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.356870Z"},"links":{"cited_paper":"/paper/2305.14835","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:8a0bedb502b31a5ec9ea3916dfb874eb6a1abe51ef2686985f21a86ce6bcb835","observation_id":"ffd5bd72-2ac2-46cc-aaf2-0a7683f567a0","resolution":{"observed_at":"2026-08-06T16:58:22.356870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:30.662116Z","title":"Prompt chaining or stepwise prompt? refinement in text summarization,","venue":null,"work_id":"9b0e45be-b769-4757-a5ac-df662bd1fcb7","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.501208Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:e0c7587274cbd2433faa5856e35588d9413303080af1bfdc0ae7ac0b9bfcd727","observation_id":"2f98a0ab-29a6-4f0e-8347-a7be6bfb2dd5","resolution":{"observed_at":"2026-08-06T16:58:30.762321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:30.480734Z","title":"Text data augmentation for deep learning,","venue":null,"work_id":"b82e6bce-f4a9-4e90-bb30-4d505eec87d4","year":2021},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.580520Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:ff974e4b0d3b95fa187120aa6af223fef2c188e56dc5fa297b5c19f8d57a52fe","observation_id":"d88a17f0-eee4-49ad-acc6-aad0409e10be","resolution":{"observed_at":"2026-08-06T16:58:30.585577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:29.863393Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":"07d069b2-9bc8-4f96-a54c-d3cd93d69306","year":2019},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.127835Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:8d1905059d700f8373383cd43c86bd9f621c65080ed6eb4ffa550fdbf1f54484","observation_id":"d0c2d682-1940-4e89-a86b-466370836cb0","resolution":{"observed_at":"2026-08-06T16:58:29.967632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:30.309046Z","title":"WordNet: a lexical database for English,","venue":null,"work_id":"0b175b91-5bfe-4d98-b20b-55257d4aef5b","year":1995},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.769524Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:00e9ff46e3b7e0cc325568f5733fc198415662ffd8c5d5c486ae37234dd1377e","observation_id":"f82e5c7c-d475-4dae-8f92-26bc7bad0804","resolution":{"observed_at":"2026-08-06T16:58:30.396350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1301.3781","last_updated":"2013-09-07T00:30:40Z","snapshot_observed_at":"2026-07-06T03:04:11.148340Z","submitted_at":"2013-01-16T18:24:43Z","title":"Efficient Estimation of Word Representations in Vector Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1301.3781","snapshot_observed_at":"2026-08-06T16:58:22.860523Z","title":"Efficient estimation of word representations in vector space,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.860523Z"},"links":{"cited_paper":"/paper/1301.3781","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:c140075a30b8f261f46c61b5073ee5957839a43ac18acdd5e5814bc416a40830","observation_id":"aade6d69-5d88-408d-a894-7f703970bd68","resolution":{"observed_at":"2026-08-06T16:58:22.860523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:30.076836Z","title":"From word to sense embeddings: A survey on vector representations of meaning,","venue":null,"work_id":"1bd9fadb-aac8-46ce-871e-9611afabe743","year":2018},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:22.943141Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:98ec468f5c161624370000f71f82cea428ec156e55687c003e0f844fd84cb7ae","observation_id":"db327b2c-cb25-49c8-adb7-0f770913a48e","resolution":{"observed_at":"2026-08-06T16:58:30.189788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07998","last_updated":"2018-09-24T20:29:35Z","snapshot_observed_at":"2026-07-06T06:34:41.441373Z","submitted_at":"2018-04-21T17:02:20Z","title":"Generating Natural Language Adversarial Examples","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07998","snapshot_observed_at":"2026-08-06T16:58:23.043556Z","title":"Generating natural language adversarial examples,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.043556Z"},"links":{"cited_paper":"/paper/1804.07998","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:b30b056e086d015d4946f8ead550de6c3c28a43fec7336e0572e73cb0a57f03d","observation_id":"2050ac50-cc1a-448a-a969-52d0b8931f8d","resolution":{"observed_at":"2026-08-06T16:58:23.043556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:29.263845Z","title":"Training language models to follow instructions with human feedback","venue":null,"work_id":"055854a3-b202-454e-8ba1-fa86553e31ca","year":2022},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.603737Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:008b91d369914cbc2362e764d9266e95e9a732753f4b85e5c06d1a0a98bb849e","observation_id":"235ea5ac-fdfc-4adf-8c26-73358e500085","resolution":{"observed_at":"2026-08-06T16:58:29.349566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06709","last_updated":"2016-06-03T15:09:54Z","snapshot_observed_at":"2026-08-13T02:12:00.503898Z","submitted_at":"2015-11-20T17:58:37Z","title":"Improving Neural Machine Translation Models with Monolingual Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06709","snapshot_observed_at":"2026-08-06T16:58:23.235611Z","title":"Improving neural machine translation models with monolingual data,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.235611Z"},"links":{"cited_paper":"/paper/1511.06709","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:65d9a2cac455724d4f794bdde39a1e10b5c21a77c2a28a5bc4fd4ae4fad4587a","observation_id":"e50dcecf-3e74-48ec-b456-141b2db97fbb","resolution":{"observed_at":"2026-08-06T16:58:23.235611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:29.636391Z","title":"Improving language understanding by generative pre-training,","venue":null,"work_id":"0c8883db-d484-4e52-ab89-35b838a1be2d","year":2018},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.354252Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:f3cfb7076b6cab425e8826edeb44aa54c0b45cc78f2987047214948b6ad6c5a6","observation_id":"af3640aa-2689-46a6-bf68-4fd95bf1d748","resolution":{"observed_at":"2026-08-06T16:58:29.752405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:29.441839Z","title":"Exploring the limits of transfer learning with a unified text- to-text transformer","venue":null,"work_id":"55fa4d07-9045-4a4a-8e40-07e00118c4b0","year":2020},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.407247Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:b259c42a4dbcd60d013703373277c42ce526ef25e850888718debd93f0a969b4","observation_id":"f17ce832-6b64-4cb8-a38a-b2e296536ba0","resolution":{"observed_at":"2026-08-06T16:58:29.525938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:33.963154Z","title":"Paraphrase the following text:","venue":null,"work_id":"e1f1a07b-0684-480b-a92b-a8ab66ff1562","year":null},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:20.185614Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:973a9e85f5114860ae96877e7367a980a0b23f6b45f28582d39fa43543101744","observation_id":"9fe9188e-9b4e-408c-b219-fb6edac63a35","resolution":{"observed_at":"2026-08-06T16:58:34.094952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.11755","last_updated":"2022-09-23T17:59:06Z","snapshot_observed_at":"2026-07-06T13:55:41.552052Z","submitted_at":"2022-09-23T17:59:06Z","title":"Promptagator: Few-shot Dense Retrieval From 8 Examples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.11755","snapshot_observed_at":"2026-08-06T16:58:23.526840Z","title":"Promptagator: Few- shot dense retrieval from 8 examples","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.526840Z"},"links":{"cited_paper":"/paper/2209.11755","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:4481fd7fe01d79d88991825d3fd9affd1e6612905bc3c8577c3b3398f12f509f","observation_id":"5a13a3a5-71f9-46f6-86bc-4acf18f5c5ed","resolution":{"observed_at":"2026-08-06T16:58:23.526840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:29.080982Z","title":"Data augmentation using llms: Data perspectives, learning paradigms and challenges","venue":null,"work_id":"c3a8d074-f9da-4d5c-88df-9ef1f7b10cd6","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.718401Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:a6dce7c766bf0807269b0d704403ad9cc01de7e895b2192450887d537d5d1155","observation_id":"d6910168-bf92-4339-8f68-1c26e06788c3","resolution":{"observed_at":"2026-08-06T16:58:29.159573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:28.894663Z","title":"Optimizing semantic coherence in topic models,","venue":null,"work_id":"3635f5b1-df7b-4227-80fc-a871936a247a","year":2011},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.817781Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:5fe4ffc7cf599d68f13dd67880d223c9ad2a20d0b8173bc6b3d5a0a487e6b6c4","observation_id":"aeee30b2-b896-4982-a987-f79117541545","resolution":{"observed_at":"2026-08-06T16:58:28.982467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05794","last_updated":"2022-03-11T08:35:15Z","snapshot_observed_at":"2026-07-06T12:46:41.057346Z","submitted_at":"2022-03-11T08:35:15Z","title":"BERTopic: Neural topic modeling with a class-based TF-IDF procedure","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05794","snapshot_observed_at":"2026-08-06T16:58:23.901467Z","title":"BERTopic: Neural topic modeling with a class -based TF-IDF procedure,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:23.901467Z"},"links":{"cited_paper":"/paper/2203.05794","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:58a766ea8045ec1e536419c202b7ad3639550a0a5acc8594794cd4c01a7a55a7","observation_id":"b6b94f72-776b-4fb3-b4a7-5ecaebbda0f4","resolution":{"observed_at":"2026-08-06T16:58:23.901467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:28.711105Z","title":"Full- text or abstract? examining topic coherence scores using latent dirichlet allocation,","venue":null,"work_id":"be20e1dc-2c62-4cb4-8a58-597a9c25b3c0","year":2017},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.057771Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:dab0cabd91c223967578b19ac5b0e288ae14203e6ba50fe0d5ea99f580b259ee","observation_id":"a8c21c48-2074-43a1-84d6-3a59f2c872c6","resolution":{"observed_at":"2026-08-06T16:58:28.803391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:28.554336Z","title":"A joint model of conversational discourse and latent topics on microblogs,","venue":null,"work_id":"c39c06a7-c320-4a0e-8d54-9a47b6e772e4","year":2018},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.208151Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:81a8c5c04573f6860b32af07724bdce66b574ab2429c97146738eadcd96b7220","observation_id":"d16087ec-d66f-4d1f-83bf-7f82dbb1d6df","resolution":{"observed_at":"2026-08-06T16:58:28.623193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13691","last_updated":"2024-02-12T20:25:32Z","snapshot_observed_at":"2026-07-06T15:31:09.320113Z","submitted_at":"2023-05-23T04:57:31Z","title":"Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13691","snapshot_observed_at":"2026-08-06T16:58:24.324238Z","title":"Few -Shot Data Synthesis for Open Domain Multi- Hop Question Answering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.324238Z"},"links":{"cited_paper":"/paper/2305.13691","citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:c34096e194c195556cb10c8ab5efe6e490c523d184b0f276c40c0d5ec4ae0912","observation_id":"432d5f91-8869-4875-ad4c-6daafbf932a3","resolution":{"observed_at":"2026-08-06T16:58:24.324238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:28.327804Z","title":"Minilm: Deep self-attention distillation for task -agnostic compression of pre -trained transformers,","venue":null,"work_id":"3a18de68-1f6a-41b6-a5cc-9b6269f62e93","year":2020},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.419556Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:8069cec9c9fac97119851e1fc4a618a7eb226f2598f7c6cd2a3cc322dfe23f3a","observation_id":"5b7ea47e-050c-42ad-ab9d-1d7d32a7939c","resolution":{"observed_at":"2026-08-06T16:58:28.442059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:28.123574Z","title":"Claude 3.5 Sonnet vs GPT-4o,","venue":null,"work_id":"1e22cda4-a89d-4b33-8600-c3ff98dfff8e","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.562786Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:0ec662ff4c34350e8289cebdd2f1f6b672df38c05e7ae624aa7875f47e690de1","observation_id":"fd599765-a224-4385-896e-2824263486a6","resolution":{"observed_at":"2026-08-06T16:58:28.212448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:27.950436Z","title":"GPT-4o Mini vs. Claude 3.5 Sonnet: A Detailed Comparison for Developers,","venue":null,"work_id":"dc4cc9c9-69d7-4596-b0ed-e84addfe0cd4","year":2025},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.672413Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:a593947c49cfe1852362cef6cbf41547dd5e3f21ca24f47fe88edf0433e09879","observation_id":"b301b9aa-f57c-4ada-a590-ba9c40dedc26","resolution":{"observed_at":"2026-08-06T16:58:28.030209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:27.751000Z","title":"Claude 3.5 Sonnet vs. GPT -4o and GPT -4o mini — key differences,","venue":null,"work_id":"915e174e-9e6c-4d9b-bd27-c5780861b52f","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.765822Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:dc568ec84642db3c5b737dbb86e32a860c9299336a5dc1e4cb29a7ccb7401eb8","observation_id":"9e95c660-50e5-48b0-b6f4-f0ffa8a3b17b","resolution":{"observed_at":"2026-08-06T16:58:27.847046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:27.562273Z","title":"Cosine similarity and its applications in the domains of artificial intelligence,","venue":null,"work_id":"74a0254e-03c6-41dc-8de5-79058d4a569d","year":2020},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:24.887748Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:9ef554bdb156642ac09602d814461a39ff50b564656f40799848975143e167ae","observation_id":"11d5061c-d163-42de-bf9b-e8025dc0bdf3","resolution":{"observed_at":"2026-08-06T16:58:27.659993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.10066","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:58:26.061050Z","title":"A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights,","venue":null,"work_id":"6ebbbb0d-6a10-44d6-92e3-6041761eccd6","year":2024},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:25.047654Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:e147729bcac5cd61119586a1147a4b4776b7b83871ce11b49efb5c2cb03fc080","observation_id":"82f3154a-cea6-4f58-93db-d69c363d8cb8","resolution":{"observed_at":"2026-08-06T16:58:26.193176Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:27.396455Z","title":"Scaling up all pairs similarity search,","venue":null,"work_id":"3f56d31c-153c-4ba8-aa77-619e143a5630","year":2007},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:25.199771Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:e8ccd179e6e64eb1ce1b1602109d7aabd53de8981f06f5341bbad321513c1ef6","observation_id":"eec97009-5d9d-426a-95ca-ad8fd8c3c554","resolution":{"observed_at":"2026-08-06T16:58:27.481964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T16:58:27.220209Z","title":"Probabilistic topic models,","venue":null,"work_id":"c66992c5-a508-44ea-9562-3749c82dc5fc","year":2007},"citing_paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T16:58:25.312915Z"},"links":{"citing_paper":"/paper/2507.12126"},"observation_digest":"sha256:c9ed8b1f1051996a260c91ae4f74db2469ca9f564be91711775a4be2b6d45a3b","observation_id":"224a9d62-2032-4520-adb1-f9b29dc1ab29","resolution":{"observed_at":"2026-08-06T16:58:27.306466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.12126","last_updated":"2025-07-16T10:49:30Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T18:42:46.939111Z","submitted_at":"2025-07-16T10:49:30Z","title":"Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":21,"verified_exact":2,"verified_fuzzy":36},"total_outbound_references":63},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2507.12126."}