{"as_of":"2026-08-16T09:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:298aa50d6f9b0321b38a6ee2060ca964907e924620584588d1f04a03350aee78","coverage":[{"denominator":81,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":81,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:21:13.898406Z","state":"measured"},{"denominator":81,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":81,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2505.07857/citation-record","integrity":"/paper/2505.07857/integrity","json":"/paper/2505.07857/citation-record.json","paper":"/paper/2505.07857"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:21:13.484367Z","title":"Con- trastive multi-graph learning with neighbor hierarchical sifting for semi- supervised text classification","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.484367Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:72fe98924c8268ac8ecea30ab70ea24fed5bdcf85993956c770d387b6deacc08","observation_id":"bd259553-ec6c-4801-8901-deddb53fd699","resolution":{"observed_at":"2026-08-15T23:21:13.484367Z","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":"2026-08-15T23:21:15.145021Z","title":"Survey on self-supervised learning: Auxiliary pretext tasks and contrastive learning methods in imaging","venue":null,"work_id":"f104bf7d-d129-4c67-b43b-69e04ab595d8","year":2022},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.489472Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:21be75cb48f17d386a64e0d850384991b85cc92c9521fad3a65d8fb7295364ff","observation_id":"fc9ba0a4-e3a7-4c3f-b436-652cc848d83d","resolution":{"observed_at":"2026-08-15T23:21:15.149482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.128754Z","title":"Access structures for angular similarity queries","venue":null,"work_id":"1ef0ba2a-02e6-4a7f-8a03-9d3b1a9dff1b","year":2006},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.494454Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:660740683cd4e314da8a90216a5cc1f7e6ee1e7b2f31a61dd2214604c2e67c16","observation_id":"f76fdf7b-0b87-459c-825a-6ee453bc6f33","resolution":{"observed_at":"2026-08-15T23:21:15.135263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.114218Z","title":"Benchmarking performance of machine and deep learning-based methodologies for urdu text document classifica- tion","venue":null,"work_id":"09f66031-474b-4f09-8229-71d0a53249fc","year":2021},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.499994Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d55595ffa706f0c3bdbe1a59cf32775c6acb24f7ad818e4f20e1e49ba3d1fee6","observation_id":"9cf998bd-e1d2-4e52-9c9e-3734527b97d1","resolution":{"observed_at":"2026-08-15T23:21:15.119012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.098957Z","title":"Adh-ppi: An attention-based deep hybrid model for protein-protein in- teraction prediction","venue":null,"work_id":"1a5047d0-4d84-4590-9a66-dda089091057","year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.505310Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:3415e4082eb7286f28eadb50a2c5e15d1c826f0a80a5cdb8913f3ff42f2dccb0","observation_id":"78992cce-8a1e-4b9f-a62d-cba48e897a6d","resolution":{"observed_at":"2026-08-15T23:21:15.104248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.083389Z","title":"El-rmlocnet: An explainable lstm network for rna-associated multi-compartment localization prediction","venue":null,"work_id":"3084babd-7062-4859-b470-ae7b8d2cb515","year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.510537Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d8077a1f31ab895e3e13cf1ea266777483c787eea39c751f00117d3b8f6bce92","observation_id":"49f5a233-e6a5-4436-8387-2c4f41cf802d","resolution":{"observed_at":"2026-08-15T23:21:15.088799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.070075Z","title":"Effect of pruning on feature ranking metrics in highly skewed datasets in text classification","venue":null,"work_id":"5b499f9b-af4d-44c2-82de-c9465ebe0a8f","year":2017},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.516208Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:1a49a66785b9de1b52d6377a57a5024178e1eb869ec500b1cac102dd6a4793de","observation_id":"5ab10d9d-7c0a-4f0c-832b-4f1ef568c886","resolution":{"observed_at":"2026-08-15T23:21:15.074429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.056200Z","title":"Zero-shot retrieval of user intent in human-robot interaction with large language models","venue":null,"work_id":"65b528d6-3b7f-4626-a639-f44cac3275bc","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.521073Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:17ebc9715c6ade0769904d7b7a6597b0ef1cc25c69b3893f6d5ccd3a2f46abf1","observation_id":"0de82d41-d146-4ad4-8d3f-580d13f90ac6","resolution":{"observed_at":"2026-08-15T23:21:15.060998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.040922Z","title":"Implementation of a virtual assistant system based on deep multi-modal data integration","venue":null,"work_id":"d46bbb96-8a25-4d71-b9eb-74f508b3ccaf","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.526251Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:894ddd970cb1e1bdca5af2fddc0dfc9a6f2359f27b64040b3f6db8d626d69ee0","observation_id":"b9813d26-c2c5-4ae9-9b3d-4b086b4fe2f7","resolution":{"observed_at":"2026-08-15T23:21:15.046547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:15.024847Z","title":"Neural multi-task learning for end-to-end arabic aspect-based sentiment analysis","venue":null,"work_id":"cb7d4e9d-b2a4-45c5-b6b4-66e2c0c5f16b","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.531318Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:375fa5f91df02ff5bcba6fa268a4ac1d1fa1004772f20ba012e1bafad6530130","observation_id":"04a73965-cf03-4cd5-b949-a3c821c30d2a","resolution":{"observed_at":"2026-08-15T23:21:15.030934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12923","last_updated":"2025-03-21T08:23:56Z","snapshot_observed_at":"2026-08-10T22:52:33.013241Z","submitted_at":"2025-02-18T15:03:17Z","title":"On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12923","snapshot_observed_at":"2026-08-15T23:21:13.536576Z","title":"On-device llms for home assistant: Dual role in intent detection and response generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.536576Z"},"links":{"cited_paper":"/paper/2502.12923","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:ddd7209c8acaf7b5d06b88d65033518ee8e182aff2691bae2e0d7ce8eee5bff1","observation_id":"044d7603-5262-4eae-924d-559765df5778","resolution":{"observed_at":"2026-08-15T23:21:13.536576Z","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":"2026-08-15T23:21:15.008645Z","title":"Generalized hamming distance","venue":null,"work_id":"1dbbde36-332d-447a-a1a4-b4ca7d7dc7f1","year":2002},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.541293Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:34729c6ab8054fa21fee09546d4acf4b25d5e4bde0eb9b5366105e6f4376e8a5","observation_id":"e7e86ec8-8fc1-4a48-a20a-53d45770923f","resolution":{"observed_at":"2026-08-15T23:21:15.014866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04807","last_updated":"2020-03-10T15:33:54Z","snapshot_observed_at":"2026-08-09T23:05:47.868289Z","submitted_at":"2020-03-10T15:33:54Z","title":"Efficient Intent Detection with Dual Sentence Encoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.04807","snapshot_observed_at":"2026-08-15T23:21:13.547591Z","title":"Efficient intent detection with dual sentence encoders","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.547591Z"},"links":{"cited_paper":"/paper/2003.04807","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:ae3a2cdc6b16ea04b1174cb1aac7734c9c7ecc5ab2b8e0cb78be30b316547865","observation_id":"21ebea2d-cf4d-40a2-adff-3b2f61a56525","resolution":{"observed_at":"2026-08-15T23:21:13.547591Z","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":"2026-08-15T23:21:14.994175Z","title":"An intent recogni- tion pipeline for conversational ai","venue":null,"work_id":"e8959ff8-0d3a-40e2-8e74-de9e5d38c7b1","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.553391Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:4295594b81a9fae8e822b4eea87899a40ee0869d4d774a4cd0657e1e49e8c5c5","observation_id":"72986249-e5a4-4497-9c7d-17a5ad308f8f","resolution":{"observed_at":"2026-08-15T23:21:14.998906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.979573Z","title":null,"venue":null,"work_id":"8c2d907e-5aa8-4165-9f80-65926314aa47","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.558237Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:19feda3bebb0ce07efd16a6eb6e7eacd318950984045ae13d465ccc0f01547f3","observation_id":"2da24054-d53a-4213-aa59-420f2fa50b38","resolution":{"observed_at":"2026-08-15T23:21:14.984150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.964791Z","title":"Debiased contrastive learning","venue":null,"work_id":"9bf7ec44-ef63-41be-98b5-d1f0d1f374a0","year":2020},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.563288Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:bb8a258166b4bcf60a1250de7df713b792e2c07672e7deafb1c27fa9d20bbc14","observation_id":"6c9089fd-325e-4d4d-b95d-28acd2311ba2","resolution":{"observed_at":"2026-08-15T23:21:14.969109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.949651Z","title":"Chebyshev distance","venue":null,"work_id":"a1e9f5f0-629e-4682-89f7-e47d6bfc4c39","year":2016},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.567813Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:dcfa2d424fb4dcc5466ad1be35f8fd75a3e21935f059de730dfdc8d66303b99f","observation_id":"cb070366-adab-4fb6-a192-42c467b0ceef","resolution":{"observed_at":"2026-08-15T23:21:14.954275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.933935Z","title":"Pearson correlation coefficient","venue":null,"work_id":"2fc3fff5-7b59-42b5-bae6-7e6cd9ea2cab","year":2009},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.573233Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:c88a5fb59a4c813832d3c205ad7dd976bc1ba63e30f1aa1246ef4f156edee1f7","observation_id":"ba7b03a1-2b43-481e-ab82-e20f9f6263c3","resolution":{"observed_at":"2026-08-15T23:21:14.938921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.916789Z","title":"Zero-shot- bert-adapters: A zero-shot pipeline for unknown intent detection, in: 34 Findings of the Association for Computational Linguistics: EMNLP 2023, pp","venue":null,"work_id":"6afa340b-603c-45e5-a6f5-10aed1cae55c","year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.577978Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:a168fe6fbb983ef3d05a985496a2dfa38b766023cb1650e9777b6ed437fe5dd7","observation_id":"d5d8e772-b2b6-4272-acec-089dbb947692","resolution":{"observed_at":"2026-08-15T23:21:14.921942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.902468Z","title":"Euclidean distance mapping","venue":null,"work_id":"51626ac2-9967-4fcf-8a47-7ffd666d6618","year":1980},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.583048Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d2246e6d675070967f5129a825d680be63fca7e9553c718254d5cd2614cb829c","observation_id":"883fcac5-7905-4af9-be6e-04755a0aa401","resolution":{"observed_at":"2026-08-15T23:21:14.906977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.887268Z","title":null,"venue":null,"work_id":"9f7d1d48-d677-4a23-bd9c-9918a7092449","year":2019},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.587257Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:9331b77c8dd62374065ac81db5ca16d8b1bffac7359259df941cc5df565fc06f","observation_id":"bba70b57-a067-4038-b886-8d69d8e1a085","resolution":{"observed_at":"2026-08-15T23:21:14.892233Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.872584Z","title":"An emotion role min- ing approach based on multiview ensemble learning in social networks","venue":null,"work_id":"c9c34df8-c868-4475-a1d9-50b76d77fc7b","year":2022},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.591499Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:272539ec0e22f565bfd05ca12b4e8ef63f5948ea49ac6ac7bdfaa24403eae427","observation_id":"b6611642-4178-47b3-8b84-ad8ec89b85bd","resolution":{"observed_at":"2026-08-15T23:21:14.877646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.857762Z","title":"A linguistics-based ap- proach to refining automatic intent detection in conversational agent design","venue":null,"work_id":"3d3c391b-40ec-474b-be3f-be98427d59e9","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.596869Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:9d06f13f1041a4fc75194f22144575d6860ec32f42923c39aa4999f8a8c01831","observation_id":"f1e98ecc-ee18-414e-a76d-45ef03e9248e","resolution":{"observed_at":"2026-08-15T23:21:14.863442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:13.601449Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.601449Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:149b9362dd8fc74609e14889746223c69dc6f62b67f009363a3f61b1521116b0","observation_id":"e9f703d1-f8d7-4e3d-82ed-e74934d1052f","resolution":{"observed_at":"2026-08-15T23:21:13.601449Z","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":"2026-08-15T23:21:14.833732Z","title":"Exploring large language mod- els for the generation of synthetic training samples for aspect-based sen- timent analysis in low resource settings","venue":null,"work_id":"f824762e-46f9-48a2-986d-8ba5c1991980","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.611504Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:f531a3f9716bd5ad718ca6addaa4ae8be27da41ae890f605fa2493eba936ea5e","observation_id":"0c006d83-c433-41c6-822d-19308dd9827e","resolution":{"observed_at":"2026-08-15T23:21:14.838691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.819231Z","title":"Ghs-net a generic hybridized shallow neural network for multi- label biomedical text classification","venue":null,"work_id":"a211c4ff-a268-400e-a9c9-89fe2014b089","year":2021},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.616083Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:2696413e0ed2c1dde5e7fdcac03f7f3ae507a54070c4c7a21ce5c38a2be2af4a","observation_id":"93996318-83d9-4473-945c-79d717c8d824","resolution":{"observed_at":"2026-08-15T23:21:14.823924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.804636Z","title":"On the jaccard similarity test","venue":null,"work_id":"4f8b9803-f998-46af-a487-00cc7d78beba","year":1998},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.621106Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:cb7dc5325204147ab5c94d37ce8b2fd2be1a85644115f1bdacb6896a775bb093","observation_id":"8706fabc-9759-4694-afe2-4b573db7b020","resolution":{"observed_at":"2026-08-15T23:21:14.809226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.790216Z","title":"A survey on contrastive self-supervised learning","venue":null,"work_id":"044f19c9-7d33-4e37-867b-bdb776564ff4","year":2020},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.626372Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:c42ef4d145208a1065b53a9f3753bfca507f2d019af730dfabcfc8498fad8882","observation_id":"8d0c4d08-8841-48cc-b9cf-50fba4f5bafb","resolution":{"observed_at":"2026-08-15T23:21:14.794862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.775345Z","title":"Intent detection for task-oriented conversational agents: A comparative study of recurrent neural networks and transformer models","venue":null,"work_id":"c0cbe7bb-346a-491b-b48b-8cfee743d2f5","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.631369Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:a92419ef79aacfce8721b6afc9f03db2dbdabdcb46ab99cb6ef3eaec867a6bc4","observation_id":"dcbafb1d-a295-4524-824d-68c32a6fe2c9","resolution":{"observed_at":"2026-08-15T23:21:14.780457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.762069Z","title":null,"venue":null,"work_id":"97c73530-09bf-4fb9-873c-98524832a484","year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.637773Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:66e68dc1268f98784ba9baff1431d69eb542dcca0a113aaea68a1f4843df9048","observation_id":"52203006-e74b-4874-8d0e-9422d97cc56d","resolution":{"observed_at":"2026-08-15T23:21:14.766332Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.746554Z","title":"The bhattacharyya distance and detection between markov chains","venue":null,"work_id":"0ebce64b-def2-4c94-828f-389a3e39f389","year":1978},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.643296Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:aa4859ab034048d971b0c620fe6e96c1f6e1bdbcc9b32d7d37b2d250a90e56b2","observation_id":"9e956345-680d-4035-9265-a8be3c89432f","resolution":{"observed_at":"2026-08-15T23:21:14.752435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.10730","last_updated":"2021-04-02T13:23:48Z","snapshot_observed_at":"2026-08-14T11:13:26.307343Z","submitted_at":"2021-03-19T11:06:37Z","title":"MuRIL: Multilingual Representations for Indian Languages","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.10730","snapshot_observed_at":"2026-08-15T23:21:13.648512Z","title":"Muril: Multilingual representations for indian languages","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.648512Z"},"links":{"cited_paper":"/paper/2103.10730","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:6d8cde753d2da55544f9eaed242e5c609c56f6d5185f8f41d80206d56aec204c","observation_id":"531b7cc8-3421-410d-81e6-e41f4764e838","resolution":{"observed_at":"2026-08-15T23:21:13.648512Z","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":"2026-08-15T23:21:14.731848Z","title":"Adversarial self-supervised con- trastive learning","venue":null,"work_id":"d7134556-3b2f-480c-aa56-962b63b84241","year":2020},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.655221Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d29d3b22246dbc870251f183f8f1457475a5ece1908f49925c3ad533bc8d6f50","observation_id":"31bea443-2b9c-4f27-ad53-c2fe968cc67b","resolution":{"observed_at":"2026-08-15T23:21:14.736524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.716399Z","title":null,"venue":null,"work_id":"c4f1c6ad-cac5-4f1b-b8bf-bb1feed5081b","year":2014},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.661086Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:0d0c6c264a85e01a1743beb466cfffa29a65e321da838396ba88b55b4c0a0d2b","observation_id":"6396737f-a334-45bd-b0bf-5e4cdb190820","resolution":{"observed_at":"2026-08-15T23:21:14.721315Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.701578Z","title":"Con- versational agents in healthcare: A systematic review","venue":null,"work_id":"8932a34a-eab7-45ef-8de3-a577464f8fbc","year":2018},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.666043Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:740a0078e1e37225b641122d494b1e97a0faf74988558a9d349ee12155f800be","observation_id":"6a5acd96-1588-4653-93ec-ad6e08cc2efb","resolution":{"observed_at":"2026-08-15T23:21:14.706211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.687371Z","title":"Conversational agents","venue":null,"work_id":"dd6ee2e9-96ce-4a93-b161-753b341c65ec","year":2004},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.670826Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:fb77228b494cc1a7f3624cd61a2b8ecd0eac30435b46e6910233c2edb5d0d4ac","observation_id":"5a551b89-3334-4c45-8eae-a69297f66e05","resolution":{"observed_at":"2026-08-15T23:21:14.692079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.673178Z","title":"Logistic regression matching pursuit algorithm for text classification","venue":null,"work_id":"ab42d1d0-746d-4fc2-87a0-d7ac43c230e9","year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.676516Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d1b8b78406e963993a88ce2c9c0021af77a4aeaa0b9e04b0d157c8a05b70e81a","observation_id":"049bf8f3-ee5b-4789-8c04-9c7d17535b75","resolution":{"observed_at":"2026-08-15T23:21:14.677933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.657800Z","title":"Ud bbc: Named entity recognition in social network combined bert-bilstm-crf with active learning","venue":null,"work_id":"b9c02d7b-5861-4ed5-bb77-9ece42576bb5","year":2022},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.681526Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:128d26ee7132746614704aae18bc94946398366370a1c7354e283a8449748d0d","observation_id":"d3ef3fcb-158c-42e2-8ca5-dc22ff656e75","resolution":{"observed_at":"2026-08-15T23:21:14.663521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.641669Z","title":"Named entity recognition for smart city data streams: Enhancing visualization and interaction","venue":null,"work_id":"844d0aa8-51ee-4000-b8a1-88d85224b636","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.687521Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:83b0314cebce83b7e19131ed2d94e425f006b80898c668ac06cef3ceee0997e5","observation_id":"b4a234c7-0ad4-4c3e-bbb5-e88f3053e4d2","resolution":{"observed_at":"2026-08-15T23:21:14.647237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-15T23:21:13.692739Z","title":"Roberta: A robustly optimized bert pretraining approach","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.692739Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:dcc6d8c9b176443e10ca53d9d88d7b6c79c060c10960126feb566f56c0a1bc57","observation_id":"d08f4d70-0f1e-4353-99c2-93c8150410da","resolution":{"observed_at":"2026-08-15T23:21:13.692739Z","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":"2026-08-15T23:21:14.626131Z","title":null,"venue":null,"work_id":"0b9414c7-029e-4d6e-a441-5dd8fbce2076","year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.698326Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:2161be3220d384a25437f3dbd986f20902dacfe920ffde55622ae53a351d7a0c","observation_id":"6499d7cf-0476-4b2c-869e-cbc6f07776a4","resolution":{"observed_at":"2026-08-15T23:21:14.631034Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07264","last_updated":"2020-06-12T15:21:57Z","snapshot_observed_at":"2026-08-13T05:37:12.453613Z","submitted_at":"2020-06-12T15:21:57Z","title":"Low-resource Languages: A Review of Past Work and Future Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07264","snapshot_observed_at":"2026-08-15T23:21:13.710805Z","title":"Low-resource lan- guages: A review of past work and future challenges","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.710805Z"},"links":{"cited_paper":"/paper/2006.07264","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:34c29557a771121dcf1b622750b60aac822be494dfe5027969de9a75fa2a57bd","observation_id":"75fe774a-f568-43c2-bb75-783de862ea5d","resolution":{"observed_at":"2026-08-15T23:21:13.710805Z","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":"2026-08-15T23:21:14.592186Z","title":"A parameter-free text classification method based on dual compressors","venue":null,"work_id":"24e94186-702c-4b4f-9ab3-ad899795e8c0","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.716767Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:176bd457db01045873450c06e3429634327caa04349fe4744781ccb1b4f87d76","observation_id":"3ff3e383-b13e-44cd-8034-8342feb91c34","resolution":{"observed_at":"2026-08-15T23:21:14.597923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.577298Z","title":"Passion-net: A robust precise and explainable predic- tor for hate speech detection in roman urdu text","venue":null,"work_id":"b047f321-ba8e-4a43-bb39-76b78d495c3e","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.724124Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:e662344218bc6e5b11a86c0762601b523b3e272f631eefaaa8d0c5c12b8e67c0","observation_id":"cdea5123-d765-46c3-9cb6-e725daa3b10c","resolution":{"observed_at":"2026-08-15T23:21:14.582065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.562072Z","title":"A precisely xtreme-multi channel hybrid ap- proach for roman urdu sentiment analysis","venue":null,"work_id":"a25ed8f3-a72b-4bf7-8d07-fd0f8fc93216","year":2020},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.729299Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d83497b8c55b4e23de97eab16904204275a3efa8d20ad2ab1ffe865c006f4d21","observation_id":"8f0fe1d1-e2de-487b-a685-8c10e9c10bf0","resolution":{"observed_at":"2026-08-15T23:21:14.567190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.547217Z","title":"Enml: multi-label ensemble learn- ing for urdu text classification","venue":null,"work_id":"46dabb6d-73c8-4630-b922-b71f199cb943","year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.734857Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:0a4515697b0ef2e41351ae61e1113dbc8b82e93c8600a2090dcf2a33d2d78ce5","observation_id":"dd9802ff-5719-4fb4-abdf-3e402d04c6c5","resolution":{"observed_at":"2026-08-15T23:21:14.552113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.531241Z","title":"Recent advances in natural language processing via large pre-trained language models: A survey","venue":null,"work_id":"a9b454f8-52d9-4dcf-b89d-e99cc548cb88","year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.741392Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d69ab922e8c6476969e3b39245a23040a2f803a3107cd4132562a3ccfedc1917","observation_id":"707ef84a-d74f-47a2-ab4c-361778a43742","resolution":{"observed_at":"2026-08-15T23:21:14.536466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.515196Z","title":"Aspect-based sentiment analysis: A dual-task learning architecture using imbalanced maximized-area under the curve proximate support vector machine and reinforcement learning","venue":null,"work_id":"f8b17c2f-1ae7-4790-8197-1bf957e353d7","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.746905Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:a23ec8ce094d7bf5937a4112786894a03775c2913db692bbcda546ac2187aba2","observation_id":"1e5f3b08-38a1-4700-ab69-fda95d427a5a","resolution":{"observed_at":"2026-08-15T23:21:14.520622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.499073Z","title":null,"venue":null,"work_id":"eaabbb3e-a971-4602-a8b8-8809b6857f74","year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.752052Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:05abd3bfb8723161ffc49f4abdf394d07fa14f3e11752923f8101ec1076130d8","observation_id":"7f7f3cf7-0c00-412c-a912-b963a46975f2","resolution":{"observed_at":"2026-08-15T23:21:14.503950Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.480878Z","title":"Dsl-driven approaches and metamodels for chat- bot development: A systematic literature review","venue":null,"work_id":"6283b6f5-299a-40e0-a0d7-a35f5dc36bee","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.762727Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:a3e86911e10dd5cf14aebf583707dd0792eb7342247ce4b75a5f73ccf3e4b10f","observation_id":"853cdaba-d167-4d4d-b5a9-27d917e05d82","resolution":{"observed_at":"2026-08-15T23:21:14.486079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.466476Z","title":"Divide-aggregate heterogeneous hypergraph for large-scale user intention detection","venue":null,"work_id":"a9bbda35-2f81-4a19-92a6-c855a1d0c313","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.768030Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:9ba566ad89df39d7f56d496872cf5f1a3318208b843ebf175c202908ad6627ee","observation_id":"04f540a7-135c-4cdb-b6da-a2398f24e104","resolution":{"observed_at":"2026-08-15T23:21:14.471078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:13.773184Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.773184Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:23c0ddba9e4580156172a09695f071a351fb9ebc3803d6c330477adf14ce27a2","observation_id":"867568dd-b17c-481b-98a4-54217e5ae8ca","resolution":{"observed_at":"2026-08-15T23:21:13.773184Z","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":"2026-08-15T23:21:14.442605Z","title":"Semantic co- sine similarity, in: Proceedings of the 7th International Student Con- ference on Advanced Science and Technology (ICAST), University of Seoul, Seoul, South Korea","venue":null,"work_id":"80a2932f-470b-4c90-aac8-720601faf446","year":2012},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.777573Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:cbb5168669bdd3420d38924a54eced1f32169f9eddfa33bc5c6195852a4290bc","observation_id":"74fde9b4-6baf-461c-aaf9-87ea1baac36a","resolution":{"observed_at":"2026-08-15T23:21:14.447232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.428036Z","title":"Benchmark- ing with a language model initial selection for text classification tasks","venue":null,"work_id":"27b5a639-d037-4d16-bc28-8356a3dfb59c","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.782057Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:c5a89b867b1cfd7c5180a4cf6bac2e633e00bb57de1c35231dc1492822bbca03","observation_id":"14ec969b-f10a-464c-bd75-063876a5b32d","resolution":{"observed_at":"2026-08-15T23:21:14.433042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.413102Z","title":"A characterization of random variables with minimum l2-distance","venue":null,"work_id":"f0790fe7-4c93-4fc4-9914-ba3a128d6b2a","year":1990},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.787031Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:0c3cf3e3818a275a6fe029951f08f1842423af56879e029d4f0d163b68f1687c","observation_id":"f4efcdbc-0165-4af2-8cf3-11bebff7a6f2","resolution":{"observed_at":"2026-08-15T23:21:14.418246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.397573Z","title":"Fnreq-net: A hybrid computational framework for functional and non-functional requirements classification","venue":null,"work_id":"5dd69873-82c4-40f2-969c-49103a11b11b","year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.792367Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:46d62cb23e9e37f717071a8f9ebbde0785c9b49d7bb7283c0c97c2edb87ea605","observation_id":"be1c37e6-0b87-410a-b370-26f21b4611f0","resolution":{"observed_at":"2026-08-15T23:21:14.402666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.382498Z","title":"Mlr- predictor: a versatile and efficient computational framework for multi- label requirements classification","venue":null,"work_id":"d596ae87-a348-46d4-8841-5f32644ae35f","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.797909Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:86242d179cae9487934d6e3d022677419b63f5ae2664a7d6f4ddef7ab5852ebc","observation_id":"e0f21a5d-f6ea-495f-89c9-31a877c732ef","resolution":{"observed_at":"2026-08-15T23:21:14.387343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.367352Z","title":"Improving user intent detection in urdu web queries with capsule net architectures","venue":null,"work_id":"9611cfbf-8310-495d-84cd-e87623343b9f","year":2022},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.802608Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:35a594d3fe8bfa6ff635a84ae057d96aa6fe7078003724c7b91ac306ca6a13df","observation_id":"fac67fad-6e68-422c-ae46-bd331b8f60a6","resolution":{"observed_at":"2026-08-15T23:21:14.371876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.352547Z","title":null,"venue":null,"work_id":"d39c0d79-f9e8-4f21-8edc-c7245af85c00","year":2019},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.807295Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:0775c3f46ba9cf9036dda929577100f3482809e4b30af90cb58db2d4ca02a7ab","observation_id":"2f889802-ade6-4c62-a4b4-03fc9b5c2c7b","resolution":{"observed_at":"2026-08-15T23:21:14.357237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.335809Z","title":"Regularization with dot- product kernels","venue":null,"work_id":"d1ba019f-f06c-4bc5-918f-09a7e0e760bc","year":2000},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.812254Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:8e73a53421d007e4aa13b580b04df6379fb9a88c33083c0dadd1cf178597d09a","observation_id":"998a02e9-3dc9-4485-a393-3f1321dbd6da","resolution":{"observed_at":"2026-08-15T23:21:14.342277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.317547Z","title":"Prototypical networks for few- shot learning, in: Proceedings of the 31st International Conference on Neural Information Processing Systems, Red Hook, NY, USA","venue":null,"work_id":"77612e77-097d-4e09-8dfc-98d59c67f2ae","year":2017},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.816586Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:0f10109d9402159d8253b1fe64ae66264258c4c5864d214629db1bb48032ef3b","observation_id":"e9e4b508-2ac7-43f1-b393-4c65279b88ea","resolution":{"observed_at":"2026-08-15T23:21:14.323793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.299637Z","title":"Circnet: An encoder-decoder-based convolution neural network (cnn) for circular rna identification","venue":null,"work_id":"2713f63a-6c9e-4f86-8284-022ffac0070a","year":2022},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.822287Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:eb6bf01c8fc33ec641b4586eb374009efcde87ddf0960e4dd242fcfb13bf9852","observation_id":"43a7f55a-9a16-415d-acd9-79f3ff4ddbd1","resolution":{"observed_at":"2026-08-15T23:21:14.305874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.282919Z","title":null,"venue":null,"work_id":"977768c8-4041-44ad-b2fd-629ba06b1422","year":2021},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.827480Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:d35650a81a40d88b7ac6f27795291ef18a4e29c7fe0da2599e211abdda90a635","observation_id":"f04969d4-ea1b-45a6-83d4-32f38a30a258","resolution":{"observed_at":"2026-08-15T23:21:14.288536Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15453","last_updated":"2024-12-31T09:13:06Z","snapshot_observed_at":"2026-08-12T23:58:53.930267Z","submitted_at":"2024-05-24T11:30:37Z","title":"Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks","version":2},"cited_work":{"arxiv_id":"2405.15453","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.15453","snapshot_observed_at":"2026-08-15T23:21:13.981670Z","title":"Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks","venue":"cs.CL","work_id":"aefe03b5-6632-4198-8058-074612a25967","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.832335Z"},"links":{"cited_paper":"/paper/2405.15453","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:283feec01cca6880419c311ff9b54b1e4a2ce1c55ab12de3598c5de7b26b417c","observation_id":"5d1d5262-fb98-444f-92a2-833e007865cc","resolution":{"observed_at":"2026-08-15T23:21:13.989136Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.268108Z","title":"Un ministral, des ministraux","venue":null,"work_id":"77a474c0-ff42-4e6e-bfdc-82fe9843f764","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.837975Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:2e62119bdac2beeda996dc14c4ed3661e1e04e2c1b63ee32c80ad011513ecfb2","observation_id":"5fb135e7-b0cc-4d4c-bf9f-bbaea161c007","resolution":{"observed_at":"2026-08-15T23:21:14.272622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-15T23:21:13.842505Z","title":"Llama 2: Open foundation and fine-tuned chat models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.842505Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:bbd69dc6fec5f25f02d11d2ff93768854eba752529d368fc6198a3b8860e2304","observation_id":"8d6096ec-9a4d-48e3-9d99-25969482cca5","resolution":{"observed_at":"2026-08-15T23:21:13.842505Z","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":"2026-08-15T23:21:14.252250Z","title":"R´ enyi divergence and kullback- leibler divergence","venue":null,"work_id":"006bd47f-c0cb-41fd-93a5-a4db9155eaa2","year":2014},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.847530Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:8b72d3cd348bba1ee4a1f6c34759452915b27bab6081c31190bf2106e029589f","observation_id":"112c565d-3ba1-420c-8a72-0ce6a7c5ee81","resolution":{"observed_at":"2026-08-15T23:21:14.258057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.236175Z","title":"Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval","venue":null,"work_id":"7ae35020-beb5-4964-b17e-3e2a00e8f54d","year":2019},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.851481Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:296c9c478da6934a90b6900414f45e9c6130a95a1a8ff0891c39681b4e74c6e0","observation_id":"7836a439-d56b-4134-ab24-251004586336","resolution":{"observed_at":"2026-08-15T23:21:14.241201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.220786Z","title":null,"venue":null,"work_id":"72168fb9-a57b-459b-9550-f183380d6190","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.855706Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:b49166b05eaf6aa6aa15ea6812055d61d6ecbd66ae474e2b906c0d97fa2321cb","observation_id":"d9482b25-4a55-4f78-8aea-40d83bb0999a","resolution":{"observed_at":"2026-08-15T23:21:14.225286Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.09093","last_updated":"2020-10-01T02:46:15Z","snapshot_observed_at":"2026-07-06T09:21:27.787247Z","submitted_at":"2020-05-18T21:15:39Z","title":"Are All Languages Created Equal in Multilingual BERT?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.09093","snapshot_observed_at":"2026-08-15T23:21:13.860141Z","title":"Are all languages created equal in multilingual bert? arXiv preprint arXiv:2005.09093","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.860141Z"},"links":{"cited_paper":"/paper/2005.09093","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:0e7d5180fe1499e55e36c04beab9f5af090baec13ad27f249b17fc4730b19400","observation_id":"7c4631b9-0188-43fd-b9d3-328760ffb093","resolution":{"observed_at":"2026-08-15T23:21:13.860141Z","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":"2026-08-15T23:21:14.206201Z","title":null,"venue":null,"work_id":"ec354327-2d6d-413b-8d04-598998a9057b","year":2024},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.865785Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:0281d9419162c0b06be64a32f7202f7aedf51b3323d068ebbbe8b46a3e1f8510","observation_id":"d7eccddc-041a-481f-9347-32c9fe763dd9","resolution":{"observed_at":"2026-08-15T23:21:14.210832Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.188699Z","title":"Intent-enhanced attentive bert capsule network for zero-shot intention detection","venue":null,"work_id":"ddaeb518-8bc0-4871-abfd-335ce08fe83d","year":2021},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.870354Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:afeba55b1b130963088e4f86813f970cf126a6d158ad9970b0abb2779a46e3c4","observation_id":"ce981437-5ae5-4f77-b329-19c0ff3984c6","resolution":{"observed_at":"2026-08-15T23:21:14.195102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.172862Z","title":"Ltner: Large language model tagging for named entity recognition with contextualized entity marking, in: International Conference on Pattern Recognition, Springer","venue":null,"work_id":"1ac07951-2ff8-4e05-a0b0-505148756c49","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.874692Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:547e4f6d921fb7259cb194adf648bee51fa5a81a319839dd9945d9e25e192af5","observation_id":"16668b86-a30c-4f27-a277-8b898a1b0e66","resolution":{"observed_at":"2026-08-15T23:21:14.178007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.156637Z","title":"Gfidf: gradual fusion intent detection framework","venue":null,"work_id":"ee234a4f-b321-4c24-9376-a6e23b4c6505","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.878687Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:6f01350e73736e2dd7ea4463c513bebbf6840a27165924bf423e344d945be4ef","observation_id":"0fecf051-f44e-4a09-91d3-c4f404cab55c","resolution":{"observed_at":"2026-08-15T23:21:14.162831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10420","last_updated":"2023-12-23T12:53:02Z","snapshot_observed_at":"2026-08-13T18:45:11.939291Z","submitted_at":"2023-03-18T14:02:04Z","title":"A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10420","snapshot_observed_at":"2026-08-15T23:21:13.882749Z","title":"A comprehensive capability analysis of gpt-3 and gpt-3.5 series models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.882749Z"},"links":{"cited_paper":"/paper/2303.10420","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:8330bbc864c3a2e77badade6cfbe281afe7c0874a95d9ccdc38fdb2202f2a402","observation_id":"39d0ba05-1b6b-43c9-b6f5-8948c2c50172","resolution":{"observed_at":"2026-08-15T23:21:13.882749Z","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":"2026-08-15T23:21:14.140508Z","title":"Dice similarity measure between single valued neutrosophic multisets and its application in medical diagnosis","venue":null,"work_id":"5f992086-b241-46a5-bfaf-7ade3f4a5ec2","year":2014},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.888466Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:38fbc8e60c9d3ab28cc63048a8569bc9e6f8b8bd5b51a07fc4632482c8217a23","observation_id":"1b5b04ac-0b74-4db8-8f0a-30cabbefc4dd","resolution":{"observed_at":"2026-08-15T23:21:14.145781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.124518Z","title":"Midlm: Multi-intent detection with bidirectional large language models, in: Proceedings of the 31st Inter- national Conference on Computational Linguistics, pp","venue":null,"work_id":"1016fcce-3adf-4afc-b9ef-c2984c5eac21","year":2025},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.892825Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:a248c6d39b57a655823da82a8d8a3009a289fa4d6f446ee908e386fa3dbce81a","observation_id":"372d407f-e173-410b-a5a4-11e4789f025f","resolution":{"observed_at":"2026-08-15T23:21:14.129734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T23:21:14.108854Z","title":"New intent dis- covery with pretraining and contrastive learning, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland","venue":null,"work_id":"18e8def4-1c99-4e46-a176-bcac28b2acf0","year":2022},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.898406Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:42f031401c977978334997b7a9cec42d378fc8a0fb8488ae43dff9d1b285ea9e","observation_id":"9d17d8d9-ad60-4781-b472-af97a94389bf","resolution":{"observed_at":"2026-08-15T23:21:14.113571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01786","last_updated":"2023-05-29T16:40:37Z","snapshot_observed_at":"2026-08-14T23:23:23.284660Z","submitted_at":"2022-11-03T13:19:32Z","title":"Crosslingual Generalization through Multitask Finetuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01786","snapshot_observed_at":"2026-08-15T23:21:13.757346Z","title":"arXiv preprint arXiv:2211.01786","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.757346Z"},"links":{"cited_paper":"/paper/2211.01786","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:06862213801027b24da791689af2f11beca83e45c18bd62287bfaa34e3fb1a33","observation_id":"ee19a84b-9e73-4c76-8057-4b2d80ff019b","resolution":{"observed_at":"2026-08-15T23:21:13.757346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-15T23:21:13.606122Z","title":"arXiv preprint arXiv:2407.21783","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.606122Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:936dfbbfec296ddfdcfcd8fab34ab5da081dde1a96f4d3b6a748651db6b6bd33","observation_id":"c41f4aba-56f6-44fb-86a7-7b159e73cb95","resolution":{"observed_at":"2026-08-15T23:21:13.606122Z","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":"2026-08-15T23:21:14.608772Z","title":"Neurocomputing , 129554","venue":null,"work_id":"7154c8e8-5ecd-480d-9cf3-a1634d05ffc6","year":null},"citing_paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-15T23:21:13.703749Z"},"links":{"citing_paper":"/paper/2505.07857"},"observation_digest":"sha256:c64d754d58b490bdb60602b2e4e4092aba582f3934d01ef1528a300c058f035f","observation_id":"6d2fa153-6a1d-4a19-9acb-51382cf8c352","resolution":{"observed_at":"2026-08-15T23:21:14.614932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.07857","last_updated":"2025-05-08T08:38:40Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T23:12:25.003128Z","submitted_at":"2025-05-08T08:38:40Z","title":"Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines"},"reference_resolution":{"displayed":81,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":1,"verified_fuzzy":57},"total_outbound_references":81},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2505.07857."}