{"as_of":"2026-08-18T03:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5723f12412b6d0044859cead454741ea3785c54b09c80678b666ca68aa9413e3","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:52:50.892565Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2505.23304/citation-record","integrity":"/paper/2505.23304/integrity","json":"/paper/2505.23304/citation-record.json","paper":"/paper/2505.23304"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:52:58.279346Z","title":"Generalized category discovery","venue":null,"work_id":"583875ac-2fda-44e1-ae3f-6fd8e64d3153","year":2022},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.004910Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:f4f3e8cd49768d252426f81e65b31ca4d826b0fd108df6940ca284dab8375099","observation_id":"7ede1b92-8e88-484a-ba25-be31a161c63f","resolution":{"observed_at":"2026-08-07T12:52:58.403934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:57.889428Z","title":"Dynamic conceptional contrastive learning for generalized category discovery","venue":null,"work_id":"5adc8c46-33de-40a3-bfc9-3bd75e01188d","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.190258Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:59e5589b82b688d0f5a6fb4411b011f16f06c641bd827c4cbf3d69a92f386fbf","observation_id":"45a1bc72-2fae-47ca-bc15-ca6aaa9a9e47","resolution":{"observed_at":"2026-08-07T12:52:58.054535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:57.538230Z","title":"Happy: A debiased learning framework for continual generalized category discovery","venue":null,"work_id":"a187e82d-9dfb-4d51-818b-8e1053d44ef0","year":2024},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.290944Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:0c84bf1c708b951ede24ab11b464ce3081d7ac7e3e00e1e85e941db7fc5d3ce8","observation_id":"043b7ac4-d0d4-49a1-b392-f2fb31d1738c","resolution":{"observed_at":"2026-08-07T12:52:57.705346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:57.238088Z","title":null,"venue":null,"work_id":"6c68e332-aa7e-46e1-a4e2-cce46bf821a0","year":2022},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.423059Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:0cd52828da3599e43e8bf2cb6fe63bff720f21a8a853e0488f888c1163829f41","observation_id":"da95427b-8e03-49f4-89d4-079e79c4c25c","resolution":{"observed_at":"2026-08-07T12:52:57.397710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:56.933435Z","title":"Gen- eralized category discovery with decoupled prototypical network","venue":null,"work_id":"0206140a-8abc-4fb6-8be8-b2752208e447","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.549992Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:e983948bca4332c723f3d5c02fa4d00c79d1d893463d481b7a17522b90e9c33f","observation_id":"7ba0fd39-6f04-4afc-a79e-18cd8e8f9433","resolution":{"observed_at":"2026-08-07T12:52:57.078153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:56.656254Z","title":"Generalized category discovery with large language models in the loop","venue":null,"work_id":"4eaab5e4-c436-4b0d-8847-b833df07f739","year":2024},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.665486Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:f3181735f9c4ba5bb5273bd4da79cc4c37034121001c439621ad89575de67c7b","observation_id":"3970ba61-ab54-49d6-aa3c-9d116fb09348","resolution":{"observed_at":"2026-08-07T12:52:56.773845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:56.349458Z","title":"Transfer and alignment network for generalized category discovery","venue":null,"work_id":"b05fa078-6418-48c2-a370-d53392bff2ce","year":2024},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.807198Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:ee493980d85c43863240f8250bfd97b56056c0dba3fd5a04faa9470c2aacf6cf","observation_id":"00a5ba54-24a1-44f8-8f33-c1c660bbbe40","resolution":{"observed_at":"2026-08-07T12:52:56.473770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:56.067075Z","title":"Actively learn from llms with uncertainty propagation for generalized category discovery","venue":null,"work_id":"a0813352-2a4a-4fe4-bd73-265822862d55","year":2024},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:47.934088Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:461a9a229fafc9c4c99a88c73f1af7b7766d60e2dc04974c152fccd4bc824bd3","observation_id":"577d847b-1661-47fa-8fd5-906cb237b2e5","resolution":{"observed_at":"2026-08-07T12:52:56.216761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18414","last_updated":"2026-05-05T08:03:04Z","snapshot_observed_at":"2026-08-15T12:58:17.457821Z","submitted_at":"2025-02-25T18:11:37Z","title":"GLEAN: Active Generalized Category Discovery with Diverse LLM Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18414","snapshot_observed_at":"2026-08-07T12:52:48.008433Z","title":"GLEAN: generalized category discovery with diverse and quality-enhanced LLM feedback","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.008433Z"},"links":{"cited_paper":"/paper/2502.18414","citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:ad55ed68c1b7ec35b40c9d8c1c09eaa865e7a6a31954619b1ec21cd08362e1b2","observation_id":"89b7aeb1-f1ae-4071-9b74-a65da7037885","resolution":{"observed_at":"2026-08-07T12:52:48.008433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04807","last_updated":"2020-03-10T15:33:54Z","snapshot_observed_at":"2026-08-17T23:59:15.683084Z","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":"2026-08-07T12:52:48.070424Z","title":"Efficient intent detection with dual sentence encoders","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.070424Z"},"links":{"cited_paper":"/paper/2003.04807","citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:8eee93f9f3777f9e5bc8fe6107f6e90cef7db1662702e7bdca75caa39a66b8b6","observation_id":"1fea9dc5-5e85-40ed-8431-08fe6985d2ee","resolution":{"observed_at":"2026-08-07T12:52:48.070424Z","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":"2026-08-07T12:52:55.734458Z","title":"Short text clustering via convolutional neural networks","venue":null,"work_id":"ccc9d7fe-0e34-4af7-8371-7d6f4607fea8","year":2015},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.149651Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:3c01fd405f6c3990a26f7ab4b5e56584ae7c6b295a4dd1f4f80f8afc2a91b705","observation_id":"3e60157e-85b2-4806-a227-55803eb008a3","resolution":{"observed_at":"2026-08-07T12:52:55.875600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:55.483087Z","title":"Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K","venue":null,"work_id":"c86fa14f-5852-44de-8cbb-14a590929bba","year":2019},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.314121Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:e0a80457206aff85bd691082f818c062f12b2469edf5da1eebc87927e42c93a4","observation_id":"eb9f4e15-a0c3-4f85-9167-4cbedb1ea773","resolution":{"observed_at":"2026-08-07T12:52:55.602319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:55.175871Z","title":"Event-centric natural language processing","venue":null,"work_id":"dfee321f-d3fd-4e9a-a932-ad910dd7de96","year":2021},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.398646Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:c529023c27ae74b1af15c2eb35429bba4226a60fecf2d8e600dd4a26325b639c","observation_id":"c4f25e4d-66f8-4640-9745-0e900f1ad33a","resolution":{"observed_at":"2026-08-07T12:52:55.353423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:54.861809Z","title":"Neighbor- hood contrastive learning for novel class discovery","venue":null,"work_id":"2c21459e-3095-49d5-9bfe-47eb4fa401dc","year":2021},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.501401Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:3d92f2c526b3c5bf18be33c799c868b81905bdc30ee3af5fbf5b4f86ae5bd9b0","observation_id":"b612f0ff-2421-4b24-84ce-6c8367326629","resolution":{"observed_at":"2026-08-07T12:52:55.015220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:54.633319Z","title":"DeCrisisMB: Debiased semi- supervised learning for crisis tweet classification via memory bank","venue":null,"work_id":"09cc97d8-f622-4a0a-82d0-034481a6cbff","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.658748Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:8c4c1fecf4441fbde1bccb035e1939f8130476bdc1359e29f73bffc42025ffb2","observation_id":"280484cb-2375-4ce0-8c74-32c52ffc5cfd","resolution":{"observed_at":"2026-08-07T12:52:54.736012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:54.454598Z","title":"Watch the neighbors: A unified k-nearest neighbor contrastive learning framework for OOD intent discovery","venue":null,"work_id":"28c95d45-4347-4f93-971e-c2967c2388ed","year":2022},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.772416Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:42c7f636b34fabc26408f19abc040d63f63ca28330baa532d2a3672001229b90","observation_id":"2ca6cf70-7749-4ba0-8c13-11f694dfed5d","resolution":{"observed_at":"2026-08-07T12:52:54.552076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:54.287437Z","title":"A unified knowledge transfer network for generalized category discovery","venue":null,"work_id":"ea337d60-3c6a-47da-b5bb-58825f6899c8","year":2024},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:48.899123Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:fb3ce68760ea9cde4f5b6a85570e2063e114745960da6e77c0e9d00634589d37","observation_id":"6ab5d019-bb4a-4049-9f1e-0369753e6ce2","resolution":{"observed_at":"2026-08-07T12:52:54.357246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:54.025418Z","title":"Parametric classification for generalized category discovery: A baseline study","venue":null,"work_id":"1eb29b16-5465-4114-b828-6f46be5ff21e","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.004085Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:00a7f11c06159fe127000708abd47baa403b7847ec2179399c82910c1040e260","observation_id":"f2f96f4c-0f81-459a-b399-372165d0ffe2","resolution":{"observed_at":"2026-08-07T12:52:54.189234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:53.834129Z","title":"Towards distribution-agnostic generalized category discovery","venue":null,"work_id":"bb3a2322-c5a6-4c79-8947-916ad51fc342","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.087972Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:8a9c14f6de1a2a224cf5df477285a1ad28db30d624b0fa7f525882ee56615945","observation_id":"1b1a7011-b7f5-4ecb-99bc-dd8373640a39","resolution":{"observed_at":"2026-08-07T12:52:53.939718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:53.592309Z","title":"Mind your outliers! investigating the negative impact of outliers on active learning for visual question answering","venue":null,"work_id":"895819f3-c0fc-4a27-8a67-8195a6626bb7","year":2021},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.179095Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:02461d897f2fc8a651ad2b578dfd4d595a1f223e6913453dddca8441678112fb","observation_id":"691a5cf7-4270-40f1-81d6-16e7bd2fc60d","resolution":{"observed_at":"2026-08-07T12:52:53.718740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:53.431399Z","title":"Mhpl: Minimum happy points learning for active source free domain adaptation","venue":null,"work_id":"84287170-b74e-431b-84f8-f8e1c8e4c81f","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.311173Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:f0c6658df491d89a547905b6feadb3fd3c14384b3ec16e657aa842711f7869c2","observation_id":"f3bbaa47-76c7-4fd1-9997-f1617dc0f903","resolution":{"observed_at":"2026-08-07T12:52:53.500822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:53.186471Z","title":"Deep Bayesian active learning with image data","venue":null,"work_id":"455b8643-2322-41d0-a6a8-ed0c458ec3fe","year":2017},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.429500Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:3242bdb00a81d6bd3e80e5254eda0d513cf428caaa18afccd15507ca35bc3bd8","observation_id":"1364e5a1-c7a2-4636-9089-edb240cb0ae5","resolution":{"observed_at":"2026-08-07T12:52:53.308282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08320","last_updated":"2022-03-02T14:24:17Z","snapshot_observed_at":"2026-08-16T18:31:00.143984Z","submitted_at":"2021-04-16T19:07:31Z","title":"On the Importance of Effectively Adapting Pretrained Language Models for Active Learning","version":2},"cited_work":{"arxiv_id":"2104.08320","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.08320","snapshot_observed_at":"2026-08-07T12:52:51.075208Z","title":"On the Importance of Effectively Adapting Pretrained Language Models for Active Learning","venue":"cs.CL","work_id":"1c6bfa63-3a2b-4240-8ffa-d79bf76d4403","year":2021},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.519316Z"},"links":{"cited_paper":"/paper/2104.08320","citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:ebbc5345b213b8b1b2d81b342385f4b1f0ae8577d4e095e5032c4eb749483679","observation_id":"3cc9572b-7226-4ef7-9f0e-eea721046bd6","resolution":{"observed_at":"2026-08-07T12:52:51.143493Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:53.022518Z","title":"Batch active learning at scale","venue":null,"work_id":"f9371a9f-8ce7-48eb-b66a-9deefcb96187","year":2021},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.668416Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:54b3c1f199e16d6251879aeb180d0dcb8a4b8f6fd2b232a3ad6d63234c326333","observation_id":"a3d10d9b-faef-41db-9379-6f1740ada301","resolution":{"observed_at":"2026-08-07T12:52:53.118107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:52.814436Z","title":"Active sentence learning by adversarial uncertainty sampling in discrete space","venue":null,"work_id":"708260d6-3096-406b-a326-8faf078043d6","year":2020},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.759822Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:7d7fa7a6a50617a3064ce18237ddb73f24ba73214779800860012947ae2a485c","observation_id":"e4f0ff47-49c8-42c3-8a3e-e9770c48bd56","resolution":{"observed_at":"2026-08-07T12:52:52.872947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.13450","last_updated":"2022-07-19T15:31:09Z","snapshot_observed_at":"2026-08-17T06:54:45.516980Z","submitted_at":"2022-03-25T05:17:24Z","title":"A Comparative Survey of Deep Active Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.13450","snapshot_observed_at":"2026-08-07T12:52:49.853983Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.853983Z"},"links":{"cited_paper":"/paper/2203.13450","citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:f6dd97ff63a829ec191322ce3a2a8133cf0724456a5d4243b8b5afb7833d1eff","observation_id":"ec65dc95-e49e-4e92-8c58-73412ad08dc0","resolution":{"observed_at":"2026-08-07T12:52:49.853983Z","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":"2026-08-07T12:52:52.615695Z","title":"A probabilistic framework for discovering new intents","venue":null,"work_id":"7310704a-3ea1-409f-b5c3-34d48de4273c","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:49.940265Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:3bb52a1f80f423253c3e3f6e48527fd7a2bae306367b75a9432cad890c56bc39","observation_id":"a2fe6902-1642-435f-8108-cd69d836e047","resolution":{"observed_at":"2026-08-07T12:52:52.726120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:52.432129Z","title":"ClusterPrompt: Cluster semantic enhanced prompt learning for new intent discovery","venue":null,"work_id":"df3b598d-4e6c-41a0-8107-2440a8c3e8e1","year":2023},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.053421Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:8496dbe6f446151b9e6372c921caf7dfb2f06cf64711f6c85b58ec38ebf6bc9b","observation_id":"da59301d-5c56-4380-8346-eb43e06170e6","resolution":{"observed_at":"2026-08-07T12:52:52.516324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:52.218668Z","title":null,"venue":null,"work_id":"71b445de-23ea-47b6-a6fe-5398878142c8","year":1958},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.146066Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:5164626822320bd53d97a76668ab5f7a5f7789629d259de3224eec61cca4f0f5","observation_id":"563bc2a0-d143-48da-978d-6396ca1dc251","resolution":{"observed_at":"2026-08-07T12:52:52.328529Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:52.028802Z","title":"Girshick, and Ali Farhadi","venue":null,"work_id":"6b7b49c5-e88d-47df-9acc-276c89204f4a","year":2016},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.262856Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:fb0b22a708d5b26d8dfc4883d3a33094894e99be49b92f1204d23b778e0165d2","observation_id":"07512f0c-bf00-4606-acf4-8bbcbeb0a345","resolution":{"observed_at":"2026-08-07T12:52:52.113455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-08-14T18:53:38.574749Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-07T12:52:50.360520Z","title":"Representation learning with contrastive predictive coding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.360520Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:583890be7a4f683691ca4db01ec87f7c44581b057ebda2fd42e65c10e01f3092","observation_id":"37648738-5461-4e97-8ff2-474bf96c9090","resolution":{"observed_at":"2026-08-07T12:52:50.360520Z","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":"2026-08-07T12:52:51.791237Z","title":null,"venue":null,"work_id":"a3c7a43a-957a-41b8-be23-25c7c7703acf","year":2017},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.446688Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:978c9c5dd8eb47bbfc80ab33ea82a97808846dd1825d9aca7d68332d2583ad7a","observation_id":"1c9beeb0-26b2-4659-9ec9-d017c780e525","resolution":{"observed_at":"2026-08-07T12:52:51.880680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:51.598954Z","title":"Overview of CCL23-eval task 6: Telecom network fraud case classification","venue":null,"work_id":"708044aa-6c85-47ef-a6b3-aece98ed1ccb","year":null},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.527315Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:400cd8f7c8631b59d96446b0e5dd1e3af1a13a5ddbaf2ffd961f9f98afddba46","observation_id":"38598377-b8f9-41cd-9626-f04e6cf1e71a","resolution":{"observed_at":"2026-08-07T12:52:51.717580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:51.397841Z","title":"Ovanet: One-vs-all network for universal domain adaptation","venue":null,"work_id":"805a41f6-8e3b-41ce-bd3a-7b8aee248773","year":2021},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.733344Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:b9ace6f0df1c660270165266c3b4dccf62784ee80b4e7fcfb1c6617ae190cea7","observation_id":"c93954d2-09cc-4ebf-81cc-d8e8222b63e4","resolution":{"observed_at":"2026-08-07T12:52:51.485893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T12:52:51.227544Z","title":"BERT: pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"9be38d66-8c92-4081-a894-08411c0fb0b1","year":2019},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.813135Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:ac6fb3bc30512ffd7e3a438c29f1922765b96cb1a51dafa8669e49ef43bc1654","observation_id":"4a09aa88-f31e-4d5e-8799-20efc68016d8","resolution":{"observed_at":"2026-08-07T12:52:51.296352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-08-17T18:50:07.059564Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-07T12:52:50.892565Z","title":"New Category","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.892565Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:b7ead7bf2c3425b5f233439ff3327dfca72d2d8ba45f54dab1e6b847e98fcfd2","observation_id":"1491f4a1-52e1-49b1-b092-44c04ecaa806","resolution":{"observed_at":"2026-08-07T12:52:50.892565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:52:50.643048Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T12:52:50.643048Z"},"links":{"citing_paper":"/paper/2505.23304"},"observation_digest":"sha256:b553f87eff0d0383b7c0e0e72eae2a0e994203393d234f70343267c28045da48","observation_id":"45d6e82f-afa5-46a0-b8a6-21d63dbf19ce","resolution":{"observed_at":"2026-08-07T12:52:50.643048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.23304","last_updated":"2025-05-29T10:02:04Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T23:06:12.444387Z","submitted_at":"2025-05-29T10:02:04Z","title":"Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":27},"total_outbound_references":37},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.23304."}