{"as_of":"2026-08-15T15:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6f2984f25d71d8f465ac0bd6bd4329726cf4d07cd7865897d3cfc1f3e2f23c0c","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:03:04.808799Z","state":"measured"},{"denominator":62,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":62,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T12:01:38.366531Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T06:26:27.729398Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07220","snapshot_observed_at":"2026-08-05T12:01:38.366531Z","title":"Comateformer: Combined attention transformer for semantic sentence matching,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02033","last_updated":"2025-09-02T07:21:36Z","snapshot_observed_at":"2026-08-13T07:06:08.220951Z","submitted_at":"2025-09-02T07:21:36Z","title":"StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T12:01:38.366531Z"},"links":{"cited_paper":"/paper/2412.07220","citing_paper":"/paper/2509.02033"},"observation_digest":"sha256:a6163ac3fa6e7a29bd3cf9e43ecb8a8bafd70695191eac3503ec8265654aeb0a","observation_id":"e1aff55d-d17c-43be-b2cc-fe553b54c77b","resolution":{"observed_at":"2026-08-05T12:01:38.366531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"cited_work":{"arxiv_id":"2412.07220","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07220","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Comateformer: Combined atten- tion transformer for semantic sentence matching","venue":null,"work_id":"59bb4d1d-e16d-4588-bf19-491a303e0c5f","year":2024},"citing_paper":{"arxiv_id":"2604.17051","last_updated":"2026-04-18T16:13:49Z","snapshot_observed_at":"2026-08-15T15:26:54.136949Z","submitted_at":"2026-04-18T16:13:49Z","title":"Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T06:21:59.735341Z"},"links":{"cited_paper":"/paper/2412.07220","citing_paper":"/paper/2604.17051"},"observation_digest":"sha256:a66a3fc4e4ddee07a385b134b62214ccbddceb07a6b5bd841afc622c0bca8403","observation_id":"b4fce557-4107-4034-98bf-89808fd7de9a","resolution":{"observed_at":"2026-05-10T06:26:27.730677Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07220","snapshot_observed_at":"2026-07-12T19:07:54.710156Z","title":"Comateformer: Combined at- tention transformer for semantic sentence matching.arXiv preprint arXiv:2412.07220, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05181","last_updated":"2026-06-22T08:05:27Z","snapshot_observed_at":"2026-08-15T07:26:14.604876Z","submitted_at":"2026-04-18T16:19:32Z","title":"Multi-Granularity Reasoning for Natural Language Inference","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-12T19:07:54.710156Z"},"links":{"cited_paper":"/paper/2412.07220","citing_paper":"/paper/2606.05181"},"observation_digest":"sha256:82068761ba282d950b9506758f3b952b61877ca7970c45e3714930e0878c9580","observation_id":"7e252795-b67a-47b6-8388-b87cb06276d1","resolution":{"observed_at":"2026-07-12T19:07:54.710156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.07220/citation-record","integrity":"/paper/2412.07220/integrity","json":"/paper/2412.07220/citation-record.json","paper":"/paper/2412.07220"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:03:04.297943Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.297943Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:61f05632fbf8ea868577c3aa6898f2627b6fca464132154637f35611aa67a5f3","observation_id":"d8c698cf-0e7c-4fa8-83df-aa9e2d0692b2","resolution":{"observed_at":"2026-08-11T19:03:04.297943Z","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":"2026-08-11T19:03:04.305427Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.305427Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:231467c892c15a69fd11b77ea35e9c0869351c5cf3d669c05b54c565d4373173","observation_id":"40471e95-be32-44b9-afda-6eb189ff8272","resolution":{"observed_at":"2026-08-11T19:03:04.305427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.04350","last_updated":"2021-03-07T13:11:31Z","snapshot_observed_at":"2026-08-13T20:02:55.174292Z","submitted_at":"2021-03-07T13:11:31Z","title":"Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.04350","snapshot_observed_at":"2026-08-11T19:03:04.312443Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.312443Z"},"links":{"cited_paper":"/paper/2103.04350","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:6e877e9083e4bf2979e5fed6f15f6ee3e0b0cf214e8d04044a33f1b283667df0","observation_id":"946fc2e6-c820-47c1-be37-cf7badcd9d1a","resolution":{"observed_at":"2026-08-11T19:03:04.312443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1508.05326","last_updated":"2015-08-21T16:17:01Z","snapshot_observed_at":"2026-08-15T14:12:50.248453Z","submitted_at":"2015-08-21T16:17:01Z","title":"A large annotated corpus for learning natural language inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.05326","snapshot_observed_at":"2026-08-11T19:03:04.320263Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.320263Z"},"links":{"cited_paper":"/paper/1508.05326","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:c5d0eca6f2ac3bbec20508925eca6bf2e32fb99eb15f25a5b6633aa2c9d5b773","observation_id":"fc62fd92-17d2-4e13-8bd2-55beccc6a165","resolution":{"observed_at":"2026-08-11T19:03:04.320263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.06038","last_updated":"2017-04-26T17:37:13Z","snapshot_observed_at":"2026-08-14T21:39:05.632809Z","submitted_at":"2016-09-20T06:59:31Z","title":"Enhanced LSTM for Natural Language Inference","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.06038","snapshot_observed_at":"2026-08-11T19:03:04.326631Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.326631Z"},"links":{"cited_paper":"/paper/1609.06038","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:674199d71f0641ecc491949942f2a240bfaccdbfa83d5f2f041097ee4c1de12a","observation_id":"10cb47c8-876b-47aa-ba28-1fd991a26e69","resolution":{"observed_at":"2026-08-11T19:03:04.326631Z","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":"2026-08-11T19:03:06.676522Z","title":null,"venue":null,"work_id":"44add307-8f88-48e5-9d94-fc317a9e1443","year":2015},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.334213Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:6b74f557343b0e8cae3f034537eb7a6709bc4b0aed6e066e674a3ace35aaf704","observation_id":"aaeec251-0a67-4e22-ad90-51cf7202914d","resolution":{"observed_at":"2026-08-11T19:03:06.681715Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.657785Z","title":null,"venue":null,"work_id":"09c6c5fa-73a7-4101-8ea9-8185f80bfc3a","year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.341362Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:5d04bc367455cff6dc0525128d9e3ea60b562f84ec7b166c6546af48411ef8db","observation_id":"8bdd001c-69b3-4d01-86b1-db53ed55b45c","resolution":{"observed_at":"2026-08-11T19:03:06.663520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.02364","last_updated":"2018-07-08T21:22:11Z","snapshot_observed_at":"2026-08-14T21:02:30.609266Z","submitted_at":"2017-05-05T18:54:39Z","title":"Supervised Learning of Universal Sentence Representations from Natural Language Inference Data","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.02364","snapshot_observed_at":"2026-08-11T19:03:04.349186Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.349186Z"},"links":{"cited_paper":"/paper/1705.02364","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:2d5823983f2c67340c58567fcddca4f659e5d44524d5d1a3ee77c91fd042a4ff","observation_id":"b1caaad1-26d1-4d18-bed2-131eb0fe88bd","resolution":{"observed_at":"2026-08-11T19:03:04.349186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-11T19:03:04.357755Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.357755Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:cda5cbab18c9545e8b836cdbcf9e81059512cc4dce41a925d5df157f69805f9a","observation_id":"aea492b5-c4f8-44f3-87e8-17b0e556aa0c","resolution":{"observed_at":"2026-08-11T19:03:04.357755Z","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":"2026-08-11T19:03:06.632317Z","title":null,"venue":null,"work_id":"02eef98f-6026-49f6-9d44-838178bf004a","year":2020},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.368369Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:9c2ee1ddb5c7ff0fa8c5c5ac6967ba5ac0376d154fbc34ce780b385ba0d481cd","observation_id":"5f78d30e-199a-4112-afa1-d9e2ecf98103","resolution":{"observed_at":"2026-08-11T19:03:06.638453Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.612454Z","title":null,"venue":null,"work_id":"ff8794ac-67ca-47b4-81a9-c5e1441f51d1","year":2022},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.375858Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:1b6196c1cdffdb1f7c7394b1406a98754a59af3b5c363f1a5beb407b8b62b604","observation_id":"25a5cca9-eba8-4237-8fce-4c156473307d","resolution":{"observed_at":"2026-08-11T19:03:06.618629Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1709.04348","last_updated":"2018-05-26T20:55:39Z","snapshot_observed_at":"2026-08-14T20:33:32.749950Z","submitted_at":"2017-09-13T14:22:14Z","title":"Natural Language Inference over Interaction Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.04348","snapshot_observed_at":"2026-08-11T19:03:04.381830Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.381830Z"},"links":{"cited_paper":"/paper/1709.04348","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:b925f0e098b1d70c7cce98aaa9be9f13fca507e0d57deca23165c4cbdeb51050","observation_id":"befddf11-8f5f-415c-8864-c5a01e1bf6a9","resolution":{"observed_at":"2026-08-11T19:03:04.381830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.11441","last_updated":"2021-05-05T09:31:54Z","snapshot_observed_at":"2026-08-13T19:54:34.231162Z","submitted_at":"2021-03-21T17:20:38Z","title":"TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.11441","snapshot_observed_at":"2026-08-11T19:03:04.388319Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.388319Z"},"links":{"cited_paper":"/paper/2103.11441","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:8533f3a82319800d40421d111dbe273b42044d02276ba8cf0738b78e598e715f","observation_id":"f8c9c143-a74e-4c9a-b8cf-3d9c52fd7454","resolution":{"observed_at":"2026-08-11T19:03:04.388319Z","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":"2026-08-11T19:03:06.589602Z","title":null,"venue":null,"work_id":"a4989856-4699-42cc-924b-8ff53680edcd","year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.394629Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:b6d60169454ecdc4802e913cba87bc4d24101928d021bfc43ab7032236e12cd7","observation_id":"427716e9-b90c-4f3e-9836-cab2eb8281b2","resolution":{"observed_at":"2026-08-11T19:03:06.595572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:04.404072Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.404072Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:2467c72f00b5442d8696ec4c84bb23b377a9f32668999a875bb230ae5eb31d21","observation_id":"438bb669-bc81-46bc-8f00-d5e58df55b36","resolution":{"observed_at":"2026-08-11T19:03:04.404072Z","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":"2026-08-11T19:03:06.555368Z","title":null,"venue":null,"work_id":"30a65f4b-ef5a-4433-8f04-8d1f5a727c5e","year":1997},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.412491Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:fb52740010a89e4321e4342af72a2b54ce77b39232e4d05a6761502076b3683c","observation_id":"af30dde9-1e37-4e90-9d78-f00478dc4103","resolution":{"observed_at":"2026-08-11T19:03:06.561474Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.501371Z","title":null,"venue":null,"work_id":"dc6eb212-6ed2-47b4-97f2-cc52c367d845","year":2017},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.417907Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:96c0815b529c729c73363a65eb7c7c683c399d38203bef1d43b74af83412f11c","observation_id":"260ed5ab-67d6-490f-b68c-4d12d0713cf0","resolution":{"observed_at":"2026-08-11T19:03:06.528547Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:04.422859Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.422859Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:134829cf3941d9c393ae09a6113913bdeb5820251080405ea6493dc8968ccdfb","observation_id":"07952428-5f29-412e-8e9c-502d0af457b4","resolution":{"observed_at":"2026-08-11T19:03:04.422859Z","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":"2026-08-11T19:03:06.460598Z","title":null,"venue":null,"work_id":"56df5f05-330f-498b-83bb-474121cf2574","year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.429304Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:216ba10cab7f03a72894453f733476cdd693c1ac0f0244fab4c6a17ab42ec0eb","observation_id":"c423aed8-c37c-4aec-98e9-f3ede6f71362","resolution":{"observed_at":"2026-08-11T19:03:06.466560Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.430153Z","title":null,"venue":null,"work_id":"6bcc2c7b-8c76-4a4f-80a6-d1f8fddbec1a","year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.435726Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:b89ec90db85c887191e789cfafb0b6f32fe95e8158ff4bdb0b8aaf24ed96f384","observation_id":"d89f825a-a637-4b7e-aad8-446e43d2c151","resolution":{"observed_at":"2026-08-11T19:03:06.440947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.00391","last_updated":"2017-08-01T15:41:51Z","snapshot_observed_at":"2026-08-14T20:43:54.071360Z","submitted_at":"2017-08-01T15:41:51Z","title":"A Continuously Growing Dataset of Sentential Paraphrases","version":1},"cited_work":{"arxiv_id":"1708.00391","doi":null,"metadata_source":"pith","pith_arxiv_id":"1708.00391","snapshot_observed_at":"2026-08-11T19:03:05.491184Z","title":"A Continuously Growing Dataset of Sentential Paraphrases","venue":"cs.CL","work_id":"d423a916-c14f-41b4-8748-719ff95d374d","year":2017},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.441829Z"},"links":{"cited_paper":"/paper/1708.00391","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:8f786aa8e7a46581f0f5d9362e6fcd0a9ce89fe18a077960b970d229238b139a","observation_id":"2e51e813-45d5-4461-84de-2f06f3c45f05","resolution":{"observed_at":"2026-08-11T19:03:05.501490Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.408557Z","title":null,"venue":null,"work_id":"f4afe585-4698-495f-a17e-b933f67d0f9a","year":2024},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.448435Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:63dd77821cc2ace315e245edc92f1843584c9dfe130b170524c9f61f19fa1e9b","observation_id":"dbff8f65-1c36-48a4-b87a-39d7e7f9571c","resolution":{"observed_at":"2026-08-11T19:03:06.415734Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12777","last_updated":"2021-10-06T06:18:28Z","snapshot_observed_at":"2026-08-13T18:20:57.754319Z","submitted_at":"2021-08-29T08:11:36Z","title":"Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12777","snapshot_observed_at":"2026-08-11T19:03:04.456303Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.456303Z"},"links":{"cited_paper":"/paper/2108.12777","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:7778f3beda05a33684e7da00018cedcd13b97b47b04bb35b748f3132779f8d56","observation_id":"5f7d7702-085b-4220-afea-a2c4184e7e2f","resolution":{"observed_at":"2026-08-11T19:03:04.456303Z","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":"2026-08-11T19:03:06.382315Z","title":null,"venue":null,"work_id":"71f2854f-42ba-4328-89e7-3d2fe96dfc70","year":2019},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.465980Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:c4911261e92da12de7cf426169571d2fbb9f3d35721abdb05b00ffbc9a2b6ac1","observation_id":"c04eb7d1-9378-4ac7-98b3-6a4c4552fad4","resolution":{"observed_at":"2026-08-11T19:03:06.390247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.350215Z","title":null,"venue":null,"work_id":"cb4e1db9-1787-472b-82bf-8ad133742531","year":2019},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.480177Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:8bf52efd750e3f6f062e506d0e5d347d11590e22756d892c6316266fd1016a71","observation_id":"2ccd5651-119c-46b3-a675-3a9cad17eb8d","resolution":{"observed_at":"2026-08-11T19:03:06.361540Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.06387","last_updated":"2021-07-01T18:50:23Z","snapshot_observed_at":"2026-08-02T02:24:24.307632Z","submitted_at":"2021-04-13T17:45:50Z","title":"ExplainaBoard: An Explainable Leaderboard for NLP","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.06387","snapshot_observed_at":"2026-08-11T19:03:04.489160Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.489160Z"},"links":{"cited_paper":"/paper/2104.06387","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:cf92e5a8bf79163dfa598733d5cd9d4ec1982b17417ba696e9a26dd54789ca32","observation_id":"a8581b50-af95-414a-b618-56fd6cda3769","resolution":{"observed_at":"2026-08-11T19:03:04.489160Z","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":"2026-08-11T19:03:06.320411Z","title":null,"venue":null,"work_id":"0dacef24-9415-42cb-834b-83af2d22a335","year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.495087Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:fa4dc39a82722dcc0788a6364c82490da7f70ffb6f24992b67148938b7bdc92b","observation_id":"79fe74d2-26ca-4b61-9f56-128a92c3b041","resolution":{"observed_at":"2026-08-11T19:03:06.333052Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.09090","last_updated":"2016-05-30T02:47:35Z","snapshot_observed_at":"2026-08-14T21:55:12.420135Z","submitted_at":"2016-05-30T02:47:35Z","title":"Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention","version":1},"cited_work":{"arxiv_id":"1605.09090","doi":null,"metadata_source":"pith","pith_arxiv_id":"1605.09090","snapshot_observed_at":"2026-08-11T19:03:05.375280Z","title":"Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention","venue":"cs.CL","work_id":"8e175337-8ca1-49ab-8e47-d084e6ed7332","year":2016},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.500272Z"},"links":{"cited_paper":"/paper/1605.09090","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:b1efe1bdc5888dac1843f0dc0df20c863fe332416f1d5eedb2328bacb1cbb73a","observation_id":"0527f95f-30c3-4ea0-86bb-a57e9ff468f7","resolution":{"observed_at":"2026-08-11T19:03:05.383644Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:04.505286Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.505286Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:4430d3e3b257b0533061a1b2cf155343ddf1beeee427f84fa70580f77fff5f7b","observation_id":"a2852cad-2b45-4899-9d11-7713e46aec4e","resolution":{"observed_at":"2026-08-11T19:03:04.505286Z","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":"2026-08-11T19:03:06.277028Z","title":null,"venue":null,"work_id":"8fb6857c-9d20-4f49-a485-9979035d0994","year":2023},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.511422Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:185ef758d7ee01b905477e45769060e236bf5cb942e75fd8f47456ceac8edc75","observation_id":"0e2d7b65-9f27-41ab-ae88-a5502ffc8aee","resolution":{"observed_at":"2026-08-11T19:03:06.288338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12434","last_updated":"2024-05-21T01:19:52Z","snapshot_observed_at":"2026-08-13T00:03:23.816663Z","submitted_at":"2024-05-21T01:19:52Z","title":"Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12434","snapshot_observed_at":"2026-08-11T19:03:04.517192Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.517192Z"},"links":{"cited_paper":"/paper/2405.12434","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:0b874de9328a984df9cf61d842df1352648fef3a5181da797aa9e057ebd658ba","observation_id":"c3b4743e-a905-440c-b448-96c139a3e1ed","resolution":{"observed_at":"2026-08-11T19:03:04.517192Z","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":"2026-08-11T19:03:06.245591Z","title":null,"venue":null,"work_id":"e9377906-6689-4d0e-ae86-116ccb5a2f6b","year":2023},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.525544Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:2d09625049b68ed0eefa59a261869047b76534e24a9e7d3bc20c68fcaae791d9","observation_id":"a2be1c60-d522-42c3-9c69-b4a17365613d","resolution":{"observed_at":"2026-08-11T19:03:06.258002Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.03352","last_updated":"2022-06-07T14:39:31Z","snapshot_observed_at":"2026-08-13T15:28:39.678823Z","submitted_at":"2022-06-07T14:39:31Z","title":"Searching for Optimal Subword Tokenization in Cross-domain NER","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.03352","snapshot_observed_at":"2026-08-11T19:03:04.543366Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.543366Z"},"links":{"cited_paper":"/paper/2206.03352","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:529d7619b1c7011fc1e8cda2b115d5c0ecbef193c353bc9acd43b3bd30c16a5c","observation_id":"1afabfc6-d178-44f8-b325-aac978a39cb3","resolution":{"observed_at":"2026-08-11T19:03:04.543366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01513","last_updated":"2020-11-03T07:13:06Z","snapshot_observed_at":"2026-08-13T21:08:52.614815Z","submitted_at":"2020-11-03T07:13:06Z","title":"CharBERT: Character-aware Pre-trained Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01513","snapshot_observed_at":"2026-08-11T19:03:04.554024Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.554024Z"},"links":{"cited_paper":"/paper/2011.01513","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:cd33cded534efcaa90927e8a8e1f141e8ac709955793e00f72f2a097e66f2ac3","observation_id":"bd3d6c25-937c-4452-b4cd-ba88fa2d38d2","resolution":{"observed_at":"2026-08-11T19:03:04.554024Z","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":"2026-08-11T19:03:06.213954Z","title":null,"venue":null,"work_id":"a1366d50-adab-4c7b-bc04-9f777ba8b919","year":2012},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.571626Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:a907165b0ae936ceae4098f996fb1ea924890a852d17ca4c0dff29b048795359","observation_id":"31bfcd13-44d7-4a11-9d4a-d1f7724b2a21","resolution":{"observed_at":"2026-08-11T19:03:06.221956Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.187244Z","title":null,"venue":null,"work_id":"b4899964-0877-4b72-a547-66399fc55116","year":2014},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.585277Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:5025f60bbc1188133711fe47492d454779e4848e921ff8ed0f48960ef519d125","observation_id":"9b3201f7-5340-47fd-bdd6-3f92020abe7f","resolution":{"observed_at":"2026-08-11T19:03:06.193293Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.167642Z","title":null,"venue":null,"work_id":"774a48d4-ad5c-46d6-b1e4-5feecc8cdb9f","year":2016},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.604239Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:bff2d06ffea8b8d92c753dde5d65ab1b8fb6b025ae1e8b48d13712b81dfca2e1","observation_id":"d8a335c9-bdd2-4491-b7a0-fed2de70cc0d","resolution":{"observed_at":"2026-08-11T19:03:06.174568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:04.617135Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.617135Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:c1b94c2da2f5707ac448ac3b750235d4e8fc0e6f390196b06564e542619000ea","observation_id":"4c90aea6-c353-4de9-beec-eab7828ca8a2","resolution":{"observed_at":"2026-08-11T19:03:04.617135Z","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":"2026-08-11T19:03:06.123667Z","title":null,"venue":null,"work_id":"047e7831-53b7-4ed7-a9c9-6de0e14fc81a","year":2020},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.627432Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:a9bd2f085c73d64b5072c708eeb176031f3e7e7545ca31898a9b698904d2c8d7","observation_id":"f86c277d-c9da-4b84-b00f-fdf2fc2ccec1","resolution":{"observed_at":"2026-08-11T19:03:06.131145Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-08-14T05:02:11.716316Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-11T19:03:04.645123Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.645123Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:43526485fa5779cbd042957af5558b95103a7f806c678600b1a4439e5d72ef33","observation_id":"6f98d985-3642-46b8-a6a8-a4cb33d25677","resolution":{"observed_at":"2026-08-11T19:03:04.645123Z","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":"2026-08-11T19:03:06.085616Z","title":null,"venue":null,"work_id":"c0a9fe80-f829-4e7e-a3e8-96867e4ae5be","year":2006},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.662504Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:2ba430208728a791c04d9c7fd565172dcf870a68849e7fbd0bf0af20e4b73438","observation_id":"91e4a9e4-e654-4842-b89d-daaa207505a8","resolution":{"observed_at":"2026-08-11T19:03:06.098026Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:06.032015Z","title":null,"venue":null,"work_id":"2bd2aae2-61b3-4807-8ed9-963f4f5c976f","year":2022},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.670323Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:923e3f881ae6c47c711d075ab1e560cb9537a83af9c6fffbbf159e5c11a62ab1","observation_id":"0607c419-d9cf-4e51-87c5-111fd1733e8b","resolution":{"observed_at":"2026-08-11T19:03:06.047547Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.00102","last_updated":"2018-09-10T14:38:47Z","snapshot_observed_at":"2026-08-14T19:59:07.026762Z","submitted_at":"2017-12-30T08:54:16Z","title":"Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference","version":2},"cited_work":{"arxiv_id":"1801.00102","doi":null,"metadata_source":"pith","pith_arxiv_id":"1801.00102","snapshot_observed_at":"2026-08-11T19:03:05.111839Z","title":"Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference","venue":"cs.CL","work_id":"70849289-8081-4723-bfe9-4c538990f73b","year":2017},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.678761Z"},"links":{"cited_paper":"/paper/1801.00102","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:3152d5c08770cef64e1128fc1a317f9198db441797ad498f02e144821c453135","observation_id":"46e9aee8-be8b-4b96-adbb-f6a77da912c3","resolution":{"observed_at":"2026-08-11T19:03:05.121046Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-11T19:03:04.685029Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.685029Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:f860e2e15fa405d8696bb8cd4c97f4257add9c83f9dea9bf1286482f51d93872","observation_id":"743df93c-027d-4ecf-907b-0eece7277e85","resolution":{"observed_at":"2026-08-11T19:03:04.685029Z","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":"10.18653/v1/d18-1240","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:03:04.860181Z","title":null,"venue":null,"work_id":"0ba77ce0-969a-427c-93c7-41b9a302aa88","year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.702237Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:720be158a0e4c9167cfd66291a5cc7f3e77a54248a16ca67e0b390cb4dbdb666","observation_id":"f2a432ff-4922-4d16-86d9-13ce6b8fea3c","resolution":{"observed_at":"2026-08-11T19:03:04.868988Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:04.713899Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.713899Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:ad8f2d8eff7f235ade2b2ee7c4626e33dbdc1ed6239247ee16b694bbca2ddb03","observation_id":"e75a9cf5-0a96-49e4-8b24-aaf7a96dc75b","resolution":{"observed_at":"2026-08-11T19:03:04.713899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07461","last_updated":"2019-02-22T23:53:34Z","snapshot_observed_at":"2026-07-06T06:34:26.609892Z","submitted_at":"2018-04-20T06:35:04Z","title":"GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07461","snapshot_observed_at":"2026-08-11T19:03:04.723521Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.723521Z"},"links":{"cited_paper":"/paper/1804.07461","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:a36cbc194ea0941765080eec8da7011a421572f89a1f1ca2eaf0cdebc7df8985","observation_id":"c896bd2b-9730-4c4a-aa8b-9fa91384f418","resolution":{"observed_at":"2026-08-11T19:03:04.723521Z","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":"2026-08-11T19:03:05.990322Z","title":null,"venue":null,"work_id":"c410308f-d757-4889-8e31-5a1d60b0827b","year":2007},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.730057Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:4cec3ef4d486a20cd668804ab604479058b54cb2319535f906ab32bde07be19e","observation_id":"546bcdcf-ff23-4561-910d-5c30eac46e24","resolution":{"observed_at":"2026-08-11T19:03:05.996116Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:05.962875Z","title":null,"venue":null,"work_id":"0cea26af-b7c7-4fa5-bd27-5891c1f134ce","year":2020},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.735765Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:3e36590b6859d8913bd4dd1e61144a818c27fee7406aa89a9c2d3acfcd204630","observation_id":"581d1d40-7bf7-4df9-b57f-5c2e810580f7","resolution":{"observed_at":"2026-08-11T19:03:05.971318Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:05.936529Z","title":null,"venue":null,"work_id":"403c8b3b-9868-4209-a53c-104602dce0b8","year":2022},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.743243Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:b526708417c9561491bfa492b34b64d16d6366c1d9b4104cc8ab9d67a141f638","observation_id":"3a865c30-b382-4481-96d5-2886ee23b598","resolution":{"observed_at":"2026-08-11T19:03:05.944857Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.03814","last_updated":"2017-07-14T19:45:07Z","snapshot_observed_at":"2026-08-14T21:16:44.021835Z","submitted_at":"2017-02-13T15:26:27Z","title":"Bilateral Multi-Perspective Matching for Natural Language Sentences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.03814","snapshot_observed_at":"2026-08-11T19:03:04.750293Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.750293Z"},"links":{"cited_paper":"/paper/1702.03814","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:cf5bd57fbd3c945f4ac7365aba5fc7e1a9e41304f395a22da8bd1986d31c9c54","observation_id":"071b7758-05a1-4fe1-a616-ef12e69ee02d","resolution":{"observed_at":"2026-08-11T19:03:04.750293Z","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":"2026-08-11T19:03:05.911375Z","title":null,"venue":null,"work_id":"d6b09b44-7fe4-4a48-918b-0f0c983c134f","year":2021},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.756210Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:193dedad3e992c5c425a326739b5ce3e4d48377166847f0540921bf68701314c","observation_id":"200077fa-7ae2-4acf-b9f1-e5d868159f31","resolution":{"observed_at":"2026-08-11T19:03:05.916938Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:05.874655Z","title":null,"venue":null,"work_id":"72d18b0f-fd05-4e13-adf2-f54be2ae2d6b","year":2020},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.763483Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:a10bb00e7d184960f55c4b402032e95a019ea500f6102a09ca6a87cc27ebb3ae","observation_id":"68f333b5-914e-475d-9863-9281d90a8b21","resolution":{"observed_at":"2026-08-11T19:03:05.884954Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:05.845635Z","title":null,"venue":null,"work_id":"470e1d51-78dc-4297-9c61-ed8320cf783a","year":2024},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.769552Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:b1644d5d1260071b850fe8224679a237273bffcc66113e8724eae11110a7d157","observation_id":"d86ae976-f49a-457c-a10b-d964c9da5b8f","resolution":{"observed_at":"2026-08-11T19:03:05.858572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:05.819092Z","title":null,"venue":null,"work_id":"b15020fd-fa8a-45af-8acc-84c51a665be6","year":2023},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.778841Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:8948f83267a92f45bc6a2b7aa63cb4730f478516d27acba6140590094a76efdb","observation_id":"7b8aa1e3-c9c2-4777-b78f-e0e6de307a08","resolution":{"observed_at":"2026-08-11T19:03:05.825492Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.00300","last_updated":"2019-08-01T10:07:07Z","snapshot_observed_at":"2026-08-14T15:58:43.026452Z","submitted_at":"2019-08-01T10:07:07Z","title":"Simple and Effective Text Matching with Richer Alignment Features","version":1},"cited_work":{"arxiv_id":"1908.00300","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.00300","snapshot_observed_at":"2026-08-11T19:03:04.951338Z","title":"Simple and Effective Text Matching with Richer Alignment Features","venue":"cs.CL","work_id":"f94f838b-6766-41ac-8b1a-38a5279958f4","year":2019},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.788036Z"},"links":{"cited_paper":"/paper/1908.00300","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:470904b2556b80b633aaa02458c1b87aaeb73a2ce4c69835c07dee2a83af9fbc","observation_id":"4ff29d7e-e403-4894-a21a-a9af0f41bd41","resolution":{"observed_at":"2026-08-11T19:03:04.963592Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:05.790234Z","title":null,"venue":null,"work_id":"e5db8949-6553-4215-a541-e6838dddcfd3","year":2019},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.795885Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:e9738e9cb18aac58294d0b25bb46796de5726baa9deb5fbb2d23b0c26d5497ff","observation_id":"89192fdf-85be-49ab-8987-63bb591d4b3f","resolution":{"observed_at":"2026-08-11T19:03:05.795517Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T19:03:04.802314Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.802314Z"},"links":{"citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:c35a37a2964e8e55c56373c17f6b1f8496127cfe910ff2615acfb4402d0d8727","observation_id":"96bd7324-7a7a-464d-8191-1fd2518aa55b","resolution":{"observed_at":"2026-08-11T19:03:04.802314Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.03013","last_updated":"2022-11-06T02:59:27Z","snapshot_observed_at":"2026-08-13T13:48:47.701985Z","submitted_at":"2022-11-06T02:59:27Z","title":"Robust Lottery Tickets for Pre-trained Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.03013","snapshot_observed_at":"2026-08-11T19:03:04.808799Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-11T19:03:04.808799Z"},"links":{"cited_paper":"/paper/2211.03013","citing_paper":"/paper/2412.07220"},"observation_digest":"sha256:6be280cdb289be434d4485fcb4420f946f08699696c4fec301bd8b8ec9271c7e","observation_id":"c2f24ead-327c-4a41-b97f-7192fb4c62e5","resolution":{"observed_at":"2026-08-11T19:03:04.808799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.07220","last_updated":"2024-12-10T06:18:07Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T14:13:47.334596Z","submitted_at":"2024-12-10T06:18:07Z","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":54,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":59},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2412.07220."}