{"as_of":"2026-08-08T18:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36bd052274b217d0e8ef9a6be52821064ba9d20f7385fac8862e1d7e612977ea","coverage":[{"denominator":89,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":89,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:17:52.468810Z","state":"measured"},{"denominator":89,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":89,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.03415/citation-record","integrity":"/paper/2507.03415/integrity","json":"/paper/2507.03415/citation-record.json","paper":"/paper/2507.03415"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:17:51.867365Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:51.867365Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:402e1f8a8e550337d746f8ce03f64a873774411d9d2022830ad2b88e6d23027b","observation_id":"bcbc895c-7913-4d53-888a-6825801034f0","resolution":{"observed_at":"2026-08-06T20:17:51.867365Z","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":"2026-08-06T20:17:52.010066Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.010066Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:87cf080fdaadfe479e5512a60e7f5141b63139ba0f1fb4f79865bec471386a4f","observation_id":"7c3c4794-3703-45fe-b089-648d68c653ef","resolution":{"observed_at":"2026-08-06T20:17:52.010066Z","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":"2026-08-06T20:17:52.020974Z","title":"Barancíková and A","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.020974Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:5ce32df95fc28ee0b157d218dc1b246063d158370383d98621a92137570868af","observation_id":"7514b678-768d-4105-a1dd-45e1f558f53d","resolution":{"observed_at":"2026-08-06T20:17:52.020974Z","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":"2026-08-06T20:17:52.026383Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.026383Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:3d73d343c52e557a5d330313e543cfd570155e984cb8453a25fd28d6326ee7b1","observation_id":"557e660d-44e5-4acf-9ad9-fb33263b47cf","resolution":{"observed_at":"2026-08-06T20:17:52.026383Z","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":"2026-08-06T20:17:52.033275Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.033275Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:0089765e8cac39e16a1d7d2a1e64c9ebb6c4780f714fa76b1112c713ce282c78","observation_id":"df047d6d-33c4-43af-a481-c67fd91220d2","resolution":{"observed_at":"2026-08-06T20:17:52.033275Z","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":"2026-08-06T20:17:52.041206Z","title":"Zhou and S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.041206Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:4b50c8743cf98c99878c9ca3866ca4c0dce62e2eefedfd44bdfc5d55f605e47b","observation_id":"c2b57233-28bb-4a33-9794-d7ea2ef20dfa","resolution":{"observed_at":"2026-08-06T20:17:52.041206Z","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":"2026-08-06T20:17:52.049170Z","title":"Madnani and B","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.049170Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:abd9dbd33df9e258fb1e98a74d523fa0396b8819436a2e2632db85a4986dca67","observation_id":"8f629ab6-25e9-404e-a04e-f590c4ba2821","resolution":{"observed_at":"2026-08-06T20:17:52.049170Z","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":"2026-08-06T20:17:52.059132Z","title":null,"venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.059132Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:5f4b4511431c29a36cc925a67f6a5cf5ff466d6ea4503b0066f7b8089640a674","observation_id":"a3b2007d-0fe3-4045-af57-fe8f4f9cba25","resolution":{"observed_at":"2026-08-06T20:17:52.059132Z","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":"2026-08-06T20:17:52.065243Z","title":"Lin and P","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.065243Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:4e6ab9010342600a4f8a91e2286e31655b593f214b3620bf3bd1ec6ad1c322f4","observation_id":"fdff87d1-449f-4b8f-a7dc-7ed55de44329","resolution":{"observed_at":"2026-08-06T20:17:52.065243Z","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":"2026-08-06T20:17:53.948713Z","title":"Barzilay and L","venue":null,"work_id":"4cbcc658-02c4-4085-87ae-3d061cec195d","year":2003},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.070466Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:03c5ba08096d6702e71a5998fb3f1d25d2bdee33752e47b96c9420378fefaa75","observation_id":"a57e0999-5b5c-45e1-b458-3b231a7f6d5f","resolution":{"observed_at":"2026-08-06T20:17:53.956908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.926138Z","title":"Koehn, H","venue":null,"work_id":"faf4c69b-28e1-4d90-90cc-513e3f9e086a","year":2007},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.075023Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:55373caf3f638c02d86f181c39984048f4768d169d04c788745cadd426321ce1","observation_id":"128b3731-6446-426c-822f-fde4ee94c034","resolution":{"observed_at":"2026-08-06T20:17:53.932920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.900300Z","title":"Prakash, S","venue":null,"work_id":"71a2a523-feb6-4392-b9d9-711ea3a7726e","year":2016},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.079387Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:11d617a6bf75d66b635054631c855933c5d152407de85e7260306be8921ab151","observation_id":"d16c68a4-484c-47ed-b2e7-7d7047737711","resolution":{"observed_at":"2026-08-06T20:17:53.909679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.877762Z","title":"Gupta, A","venue":null,"work_id":"5fa3c884-65d8-4d4c-a407-1d018f4a5422","year":2017},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.083934Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:633d75b5236247ca1fd7f64a0b260e78b2fa1b351ea4b32d1bfbe860733d69cd","observation_id":"7487c4b7-abec-4732-9776-9b388eefb645","resolution":{"observed_at":"2026-08-06T20:17:53.885300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.856560Z","title":"Kumar, S","venue":null,"work_id":"6da3906d-4a1f-4815-9b9f-80a21a2eb7fa","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.088576Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6d35e3779df0154cdd68af48c905db177583be10a0f8c8ba599ae4b25fc69bf3","observation_id":"e76c9003-d465-466c-9f94-faea77fa413f","resolution":{"observed_at":"2026-08-06T20:17:53.864602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.838442Z","title":"Hosking, H","venue":null,"work_id":"e04e5179-e677-46d9-ba93-a48ca694af10","year":2022},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.093211Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:bef9375c14c02ad99c57e7cc0398868ee7673ee175c8a9e5f4f4f442abbb1e4f","observation_id":"d46de245-445f-452d-a8b2-0a7759d16339","resolution":{"observed_at":"2026-08-06T20:17:53.843948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.822248Z","title":"Huang and K.-W","venue":null,"work_id":"257b5c42-4d85-42cb-9c91-79cd7c1c3f2d","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.098510Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:83bcf4729da646a6899a0f1ef5d1edf44633b4b6130e200fe70a8e7c899ef3ec","observation_id":"0986b807-5ca2-42bb-8eb9-2b49154b219b","resolution":{"observed_at":"2026-08-06T20:17:53.827104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.803439Z","title":"Iyyer, J","venue":null,"work_id":"f67dd181-2073-48e1-a027-e4554d74e051","year":2018},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.103439Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:d1cc39fd2e34b4c4ac9c70b58bbcf33eab0d42513c85ddd923b25294deeb04a0","observation_id":"5b54d93f-69ef-428e-8f29-cb9a0f70c75c","resolution":{"observed_at":"2026-08-06T20:17:53.809691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.785197Z","title":"Goyal and G","venue":null,"work_id":"7a559e94-ab4b-473f-9177-9f042a6225fb","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.108873Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:8bd8203d59f63f5f1a5726c0fdda1c6032b8f552848b07db4d71f39276cb2d9f","observation_id":"4a36cbab-9ba8-4cd8-9366-cc9fa1c644c6","resolution":{"observed_at":"2026-08-06T20:17:53.790922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.747396Z","title":null,"venue":null,"work_id":"01b8c60b-9126-4305-b04e-137287e4bf38","year":2018},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.119588Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:5bbd4004768f3ec8a5ceeee9a0a03f332b6d41a9038503787f477a55c26ea617","observation_id":"7d10714b-bd10-4149-8d9c-0da28fa1b09a","resolution":{"observed_at":"2026-08-06T20:17:53.752793Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.729810Z","title":"Y ang, Z","venue":null,"work_id":"40c447ea-c687-47de-acba-79900faa469d","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.124656Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6db4f395df49163e84b390ca190f7e53b1e89afe4fc5d2d4480e190debe1e6b7","observation_id":"5d7009cc-2b41-4e78-8fba-de26e6dd6e47","resolution":{"observed_at":"2026-08-06T20:17:53.735958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.713006Z","title":null,"venue":null,"work_id":"a7fe5193-6ea2-4561-9aec-85f856e47179","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.129047Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:56881d2d368a0b7d9e0d5f14e52a49d4789e2b7dac6977730fb8ea7e2a6b7a13","observation_id":"629fdf70-be44-4b61-957c-43e89a88c107","resolution":{"observed_at":"2026-08-06T20:17:53.718567Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.694501Z","title":"Xianggen, M","venue":null,"work_id":"f9592512-4912-4912-bb7d-f41b2ed40f74","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.134440Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:a8b12e44d2a75ba3656398eac2184892e7dc8fc1a82ef9b565e5649e5123a943","observation_id":"8cab9f80-526b-4f0b-8e05-c719b3d5e514","resolution":{"observed_at":"2026-08-06T20:17:53.700152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.676803Z","title":"Lewis, Y","venue":null,"work_id":"5633db29-4dd3-4200-b72b-a71fadb05cc2","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.139198Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:daa57c04a6de6294d1ad96e89615d9c815c3537d9b50d9f8c498767c29001a61","observation_id":"bf2578e2-cdb9-42f9-a89a-7b64f33cee04","resolution":{"observed_at":"2026-08-06T20:17:53.682324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.660027Z","title":"Raffel, N","venue":null,"work_id":"8a7d9b60-bc6d-4257-9e61-ee6e73a70739","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.144309Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:60f86be4c6360c77e7e43ba6da2616b71ab859c15d0e751debd54304b182fbac","observation_id":"211b48df-ddde-4390-b69b-4bebdf3e8f02","resolution":{"observed_at":"2026-08-06T20:17:53.664736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.643963Z","title":"Radford, J","venue":null,"work_id":"54dddbe9-5d0c-4a13-99de-e1404083ec54","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.148960Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6ac59dfcd976bfbffe0ac7363066abe157ce710a20c17f520e4ca49aa68af8e0","observation_id":"28e99386-161d-4c81-86c5-907d9f2efba8","resolution":{"observed_at":"2026-08-06T20:17:53.649408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.627764Z","title":null,"venue":null,"work_id":"75b2dcd8-79b5-4aef-b0e3-59a9dcd02f8b","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.153577Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:1b32dc4170064f2bc6dd53bdcaa33c542c31aea6bdd36c5a13d3720b9a906e68","observation_id":"54e205c7-f48b-4b7a-b243-d5842f29b33f","resolution":{"observed_at":"2026-08-06T20:17:53.633556Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.612502Z","title":"Kiros, Y","venue":null,"work_id":"ad9d1424-1ba7-40b6-890a-17cacc9e6986","year":2015},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.157928Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:ee401ebedea122e38e3f7019b155c1a2d91b7937ff3e9ecb6d915083541ed15d","observation_id":"2a99f656-3bdd-4b6c-811d-b4d6a80d238a","resolution":{"observed_at":"2026-08-06T20:17:53.617321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.595785Z","title":"Pagliardini, P","venue":null,"work_id":"5ffa4ce7-2093-4dc1-89a0-79c524a773fe","year":2018},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.162288Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:bfdd7272bc323a3152843bd36e39fab567d59397ed85f66fd51278f0a7cd34d4","observation_id":"1940a621-8731-4926-9f0c-3cc98077faf9","resolution":{"observed_at":"2026-08-06T20:17:53.601272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.578707Z","title":"Conneau, D","venue":null,"work_id":"68b777aa-444c-47ab-b041-cee99e908e7d","year":2017},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.166893Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:eae1bb9844940c9f730faec06d48b1fe095093117f91169b8baf310f82fb19d2","observation_id":"099cb0c1-ef25-4f23-ac85-dd996de2ef9b","resolution":{"observed_at":"2026-08-06T20:17:53.584496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.559704Z","title":null,"venue":null,"work_id":"aaa4f6d8-6e02-4a8e-9632-80412df907ef","year":2018},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.171348Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:4b5c5ec57c721b52b21acc2b3bd4d9f3b69e3f4bd4bd21883916a93b22fe2d84","observation_id":"bcff1fb3-7854-42c2-bf00-afc139de91b9","resolution":{"observed_at":"2026-08-06T20:17:53.564481Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.541638Z","title":"Reimers and I","venue":null,"work_id":"c7d1840a-f75a-4d72-8654-248464359b37","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.175865Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:a8db428931768a722693547ecffb78e676c81e26d14d7584c3ae82ef77083771","observation_id":"23fa119b-2ef4-4287-87cf-f560adef467b","resolution":{"observed_at":"2026-08-06T20:17:53.547043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.525001Z","title":null,"venue":null,"work_id":"ea430259-f558-449e-8470-4ca830e2ca56","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.181066Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:b19092acf7d2b75ea9d3a493fcce3c6bd961b0393caf0ef9932f12eb30c3af97","observation_id":"1922e7c4-a27e-45ca-9b51-2dfb7e70dd96","resolution":{"observed_at":"2026-08-06T20:17:53.530026Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.193772Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.193772Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:94aecb99adefe535713215e8e67384b6e665ebd281fbd8baa5141478da08b88a","observation_id":"07411cbd-b7fa-46fc-8d57-b56b966a98ae","resolution":{"observed_at":"2026-08-06T20:17:52.193772Z","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":"2026-08-06T20:17:53.491998Z","title":null,"venue":null,"work_id":"bb11d497-a61b-4146-957d-5c47a632b525","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.198715Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:1142446d87fac474259c7963c10e7687a374bce9aecb0e5682f25984081ae1fb","observation_id":"7ab68ea6-ff65-4a18-8c6a-8b5d500a793e","resolution":{"observed_at":"2026-08-06T20:17:53.497579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.474882Z","title":null,"venue":null,"work_id":"b1a027f0-afe9-4a6c-9871-c841a0eb3810","year":2022},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.203081Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:2474c0d256b2991d8d47393ba58cae72e46655367811300e78aa050cbafd0920","observation_id":"262fb07e-d622-4399-8b79-bdd5d083943c","resolution":{"observed_at":"2026-08-06T20:17:53.480872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.456106Z","title":null,"venue":null,"work_id":"98d94ec4-9f95-4ea2-8e01-6e2905f7dfee","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.207668Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:c92c25474fb8cea5d820d8946e23d78684b502da818355ad676d39ea05fe315c","observation_id":"e4e64703-d757-450a-94a3-9ee4bd0af742","resolution":{"observed_at":"2026-08-06T20:17:53.461204Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.09813","last_updated":"2020-10-05T06:30:56Z","snapshot_observed_at":"2026-08-06T22:52:30.854160Z","submitted_at":"2020-04-21T08:20:25Z","title":"Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.09813","snapshot_observed_at":"2026-08-06T20:17:52.212063Z","title":"Reimers and I","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.212063Z"},"links":{"cited_paper":"/paper/2004.09813","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:3f85bfa5a6628fe5b1e22b0af99e12cd59b8bdd4bfe31aa964ff6c4c1ddbfaf5","observation_id":"4e6ec77c-03f4-4938-920a-ff869c820e38","resolution":{"observed_at":"2026-08-06T20:17:52.212063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03216","last_updated":"2025-12-12T11:26:32Z","snapshot_observed_at":"2026-07-06T17:25:35.493362Z","submitted_at":"2024-02-05T17:26:49Z","title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03216","snapshot_observed_at":"2026-08-06T20:17:52.217026Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.217026Z"},"links":{"cited_paper":"/paper/2402.03216","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:76a25f328d69f25fe60796f06f0b7dc6a747d45ad3c1e38024a503e3ebd21858","observation_id":"ac8f58a7-0471-466c-94f8-eca884eb1338","resolution":{"observed_at":"2026-08-06T20:17:52.217026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19923","last_updated":"2024-02-04T11:11:53Z","snapshot_observed_at":"2026-07-06T16:40:43.536565Z","submitted_at":"2023-10-30T18:35:30Z","title":"Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19923","snapshot_observed_at":"2026-08-06T20:17:52.222628Z","title":"Günther, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.222628Z"},"links":{"cited_paper":"/paper/2310.19923","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:5dcb83bbbc34a2c63ff468defc3a7e564b5c30cafcfcd0ac3ccc881f968a7335","observation_id":"f92e1271-dceb-4179-9c85-3e373ccd9157","resolution":{"observed_at":"2026-08-06T20:17:52.222628Z","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":"2026-08-06T20:17:53.440526Z","title":null,"venue":null,"work_id":"bc042608-4632-455e-9284-2cffca1ca215","year":2025},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.227876Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6a2480affcdf4c3a572e225bb9a4f2f62c757dca5893e666e2cf80d68c39a93f","observation_id":"6de8a126-1b6a-4898-bcd8-b43e0ec850de","resolution":{"observed_at":"2026-08-06T20:17:53.445363Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.422414Z","title":"Trinquier, G","venue":null,"work_id":"1c1b6777-9783-434d-95b7-75fa7569396c","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.232730Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:978a9dd88094ef6980bc8160dc73838a4bfa563596cc7ae4e4d7827e0d0de682","observation_id":"a6cff9b5-0911-4822-92a8-45a8b48a7253","resolution":{"observed_at":"2026-08-06T20:17:53.428756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.405868Z","title":null,"venue":null,"work_id":"0254bb39-0ef2-4ee8-94a5-d7ef40fbdcab","year":2004},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.237711Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:cd6a4b53289d0060a3e7eecd1e3e26993dd7ca21854b9557d6cec9c51b20625d","observation_id":"c88c2e47-34ce-4f93-87c4-6f065870e932","resolution":{"observed_at":"2026-08-06T20:17:53.411316Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.389092Z","title":"Kauchak and R","venue":null,"work_id":"a6a2318b-2a4d-4fb9-a778-a9173ef36276","year":2006},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.242174Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6023bf4931b7994bcf433ff10220ba7b22c9e41759dcd46b0f46af349e74c2c9","observation_id":"7db2cb8a-b82a-430f-8fff-df9ff244bb99","resolution":{"observed_at":"2026-08-06T20:17:53.394251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.374204Z","title":"Wubben, A","venue":null,"work_id":"ae5b4445-5f8f-4386-b0d4-b4dfe20f2b82","year":2010},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.246590Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:07914456e8bd7fae9bb11ba38956ec665fdb9e8c80f3420ca6871a31b1f463fc","observation_id":"2f0a1e40-143c-4304-996f-e6bd9e9a3fef","resolution":{"observed_at":"2026-08-06T20:17:53.378856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.358960Z","title":"Bowman, L","venue":null,"work_id":"f5c1d2fc-b535-4c62-9904-dd5989673101","year":2016},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.250652Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:2e8dc43881c1f09827a6876c0df25fefc06dda592916dc2ca5565d449e5b27f7","observation_id":"7924caa6-d75f-4a04-9811-0de3f4fd844d","resolution":{"observed_at":"2026-08-06T20:17:53.364064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.344801Z","title":null,"venue":null,"work_id":"2a8f6e44-95e1-495d-bed0-b061ba53df7f","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.254880Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:7a844c82d8d77ce63f305475b248afbe04222866017669c2747e2ca0291f436c","observation_id":"d6d9e913-0848-49b7-b689-76f35c1aef4a","resolution":{"observed_at":"2026-08-06T20:17:53.349078Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.12777","last_updated":"2021-03-23T18:22:03Z","snapshot_observed_at":"2026-08-07T01:32:31.493245Z","submitted_at":"2021-03-23T18:22:03Z","title":"Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2103.12777","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.12777","snapshot_observed_at":"2026-08-06T20:17:52.745546Z","title":"Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning","venue":"cs.CL","work_id":"37c29ebd-fb57-4406-a982-290e96d0365a","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.259614Z"},"links":{"cited_paper":"/paper/2103.12777","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:92c84f2917ad0fb730b41de1917446f264888bcc14951621ca057356078db4e7","observation_id":"cf32637b-715c-4bfd-97e5-4dd200fa51dc","resolution":{"observed_at":"2026-08-06T20:17:52.750484Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.330349Z","title":"Cao and X","venue":null,"work_id":"786477a5-95c0-4901-b14d-12fedc3e893d","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.264344Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:5298b6f3f03217e91382d8588138548401e11480c4c03ce09d7cbc766baafb8a","observation_id":"4694242a-8572-47ad-a850-9e91095896e2","resolution":{"observed_at":"2026-08-06T20:17:53.334855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.315854Z","title":null,"venue":null,"work_id":"179a2785-88d5-4fbb-8434-b9b2c54ca5cc","year":2017},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.268790Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6a440ccdd29c433cafa3da670082abde33489d44c8cf0db61743bb0a6296ebda","observation_id":"f1221370-af9f-4dd4-8b20-c09228fe3f9d","resolution":{"observed_at":"2026-08-06T20:17:53.320108Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-06T20:17:52.273721Z","title":"V aswani, N","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.273721Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6d525a8351ce62bf4a9156c563765fb4f13811008950c4def71df76ccf04ec24","observation_id":"5885efcd-4c79-4f0d-a1cd-1c1ba410b045","resolution":{"observed_at":"2026-08-06T20:17:52.273721Z","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":"2026-08-06T20:17:53.301844Z","title":null,"venue":null,"work_id":"bd785fb8-4551-4946-8f0a-f9a755478101","year":2018},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.278786Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:0cc4847db44c045c36754d2ec6b7e62feeee99e518fd199eafa3fd7101678465","observation_id":"d8edfc51-6831-44de-a0e0-b20ccb546249","resolution":{"observed_at":"2026-08-06T20:17:53.306354Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.285962Z","title":"Roy and D","venue":null,"work_id":"05bc5e33-76a2-4b6a-a51d-8a7bc93fcee2","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.283262Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:5d8dc3b931329ef4095ffcdf86174054ed22b2b1a66e291f2e7f9f1f828d93ee","observation_id":"30cc5ec8-d691-41c7-a6ee-d997ebd77598","resolution":{"observed_at":"2026-08-06T20:17:53.290514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.271068Z","title":"van den Oord, O","venue":null,"work_id":"ca93c275-6687-47d1-9fec-b1a62758312f","year":2017},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.288046Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:cbb8681f999fdb646acd28b428ef75350a1227a71d098862b1edc5ff7d62cf7d","observation_id":"c74f28f2-db49-49af-9fa4-4dfc3f4b9bae","resolution":{"observed_at":"2026-08-06T20:17:53.275993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.257077Z","title":"Bandel, R","venue":null,"work_id":"5055691a-825a-4034-8e3c-83205c70ab7f","year":2022},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.292824Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:a2ab8c90f791adb63fd60a9f8e66bd61c950174f69eb8e0262295b27e97ab6b4","observation_id":"1f325d92-42a9-4596-9f91-4e044d594b2b","resolution":{"observed_at":"2026-08-06T20:17:53.261172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.242240Z","title":null,"venue":null,"work_id":"bcdc7a00-e2c1-4dfe-b2ba-fa8c9ead5cb2","year":2022},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.297801Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:3e25e58098c072bb7d25896e07f3ed8765296dd4e0df8f61960528ba68eb2c39","observation_id":"c99fad9a-3e36-4def-bb5a-c8c3ebe548f6","resolution":{"observed_at":"2026-08-06T20:17:53.247243Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.227657Z","title":null,"venue":null,"work_id":"caf367a9-0448-4d82-9845-6cfc94b9082b","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.302767Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:f57a4224f0a5623a9758865c08d763e82701bee74d49f9c4084837ddbad7b5e9","observation_id":"2f6e51bc-07e6-41f8-a174-47dc2f425f39","resolution":{"observed_at":"2026-08-06T20:17:53.231893Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.196258Z","title":"Radford and K","venue":null,"work_id":"2032b703-be60-47a8-ab8d-6d57595b63db","year":2018},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.312692Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:14f092792fb5c6b6ccb75bf9dd3edf3b08ba2c4795121a171541eeba307bc959","observation_id":"be24f391-c0fc-467a-9522-e05eeb9e3f7e","resolution":{"observed_at":"2026-08-06T20:17:53.201053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.181114Z","title":"Brown, B","venue":null,"work_id":"97bb3673-195a-47ca-9480-893588192872","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.317058Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:7ba59a9b4b39603a188a78be3bd11da40eec96da1c975634bb6b26db8672dafc","observation_id":"a01fd648-4b83-495b-87d8-ce55fc289b49","resolution":{"observed_at":"2026-08-06T20:17:53.185638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.165280Z","title":"Witteveen and M","venue":null,"work_id":"bb8080e0-37e8-4f6e-86c9-852f252d3868","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.321281Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:e1d3dd262d0d0edafb53d2f9e33aec1fe4aa774003d0d5fb134f9e31d6dae87a","observation_id":"549e7c73-7234-4520-8bb7-b5295525d492","resolution":{"observed_at":"2026-08-06T20:17:53.169895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.147811Z","title":"Mikolov, K","venue":null,"work_id":"54da73a6-5325-4d2a-87ab-4c107e91aaaa","year":2013},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.326013Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:b64be639bd809ff1eeaea1571bfeb25f04a425c16160fbf51ece17260bd6aa43","observation_id":"dffd96e5-7fbd-4305-aaad-46b7a737dbf2","resolution":{"observed_at":"2026-08-06T20:17:53.152619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.131152Z","title":"Iyyer, V","venue":null,"work_id":"19af53c7-c316-4fe8-bf20-eb15c1089064","year":2015},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.330954Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:dd6ab3e38ab54f29c9e66c4d622d64e441fdd62fd2c7476e17c4578d6b15d45a","observation_id":"fcf09ace-c552-4605-8a59-28d52c66ae28","resolution":{"observed_at":"2026-08-06T20:17:53.136160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.114935Z","title":null,"venue":null,"work_id":"85a7e6e1-ab68-4a09-b8e8-ffaa11bd778a","year":2022},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.336448Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:d745e3cd66ff4155ea328a453c42261f8b652cafc8bfcecfe827b6ff4f415877","observation_id":"029a6159-5fd8-40d2-a490-96b7112bdad7","resolution":{"observed_at":"2026-08-06T20:17:53.120392Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3593590","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:17:52.531366Z","title":null,"venue":null,"work_id":"59a9a87f-9a46-4f77-ac62-6ba1bbe5e0bb","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.341361Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:b16aa21514d17ab9e9d589d8b95bd8ed440ecba30caf4dfd52d1bdc08c615232","observation_id":"f9aac054-4a23-4b6a-8669-98be2a873b54","resolution":{"observed_at":"2026-08-06T20:17:52.537392Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.097620Z","title":"Muennighoff, N","venue":null,"work_id":"baed30ad-ae73-4f70-b043-52402570d881","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.345925Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:0eee1d068393ca13469b57fd91b1129d6f5ede60861642afaa1fde2ddda65dd7","observation_id":"41f989f1-0e11-4943-9ac9-eb17ef1d1a8b","resolution":{"observed_at":"2026-08-06T20:17:53.102900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10506-024-09408-8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:17:52.514015Z","title":"Dadas, M","venue":null,"work_id":"7d430cb0-0dd7-4c64-b246-514b904b0dc1","year":2024},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.350466Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:5464c5e92a49ab97544f1510aa1f35eaed0a3596d111fe280bb8453dbc404b42","observation_id":"94c4f6b2-ba05-49bf-b94c-eadebcede1da","resolution":{"observed_at":"2026-08-06T20:17:52.519942Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-07T06:19:11.477065+00:00","source":"paper_reference_links","state":"open"},"event_date":"2024-07-24","event_type":"correction","notice_doi":"10.1007/s10506-024-09413-x","provenance":{"observed_at":"2026-07-11T03:00:36.501587+00:00","source":"crossref","source_record_id":"10.1007/s10506-024-09413-x->10.1007/s10506-024-09408-8:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12140","last_updated":"2023-01-28T09:28:55Z","snapshot_observed_at":"2026-07-06T14:45:33.278327Z","submitted_at":"2023-01-28T09:28:55Z","title":"Multilingual Sentence Transformer as A Multilingual Word Aligner","version":1},"cited_work":{"arxiv_id":"2301.12140","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.12140","snapshot_observed_at":"2026-08-06T20:17:52.704743Z","title":"Multilingual Sentence Transformer as A Multilingual Word Aligner","venue":"cs.CL","work_id":"976ef626-0b46-4cb9-8056-6f9b717181a9","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.355696Z"},"links":{"cited_paper":"/paper/2301.12140","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:a6a1d6e0052e1ea4e5af95925966d14341c591a59723a72c858e0a6f38063ddf","observation_id":"6fa39c8f-79a6-4fa7-9013-e5d39cca4bcf","resolution":{"observed_at":"2026-08-06T20:17:52.710059Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.079067Z","title":null,"venue":null,"work_id":"79cdc0c8-fd5d-4801-8725-509c4094dfb3","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.361241Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:62a428bcd70d24bdce78ac470825a9fd6817f1c216beabc3e7f19e794a6d8f26","observation_id":"74c650a0-8561-4aa7-bc8c-56b1b1bc5d6f","resolution":{"observed_at":"2026-08-06T20:17:53.084126Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.063004Z","title":null,"venue":null,"work_id":"699c2477-ff83-487e-b62b-4fa81c29cc8f","year":2025},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.365553Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:798bfbf1500f1c68b38fc9fc968eb877846aaac1f923dd2e91f3ac8301118c91","observation_id":"1041569e-fb24-40ba-a3db-d88a62bed397","resolution":{"observed_at":"2026-08-06T20:17:53.067576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.047044Z","title":null,"venue":null,"work_id":"31b3b92d-8ed9-49e1-af1e-a9f952a41293","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.370106Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:39ee777a9292a6b5be17defe9f12789610af0d06318be760d91f9f7ea1ef7363","observation_id":"d05304fe-8fc7-40af-8b29-1dc45b641874","resolution":{"observed_at":"2026-08-06T20:17:53.052191Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.030297Z","title":"Lee, ‘‘A mathematical interpretation of autoregressive generative pre-trained transformer and self-supervised learning,’’ Mathematics, vol","venue":null,"work_id":"a03c7bd9-6c11-4803-a16e-9166b9d40b7b","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.374743Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:b82eda5aa003ad347bf4d1b3d510093f7f73d5f9226a3ff76d5852532d9c5c53","observation_id":"a085bcdd-30fb-4ca5-aeac-30678d2b36be","resolution":{"observed_at":"2026-08-06T20:17:53.034987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.015346Z","title":null,"venue":null,"work_id":"0c7e37fb-1608-40ed-85fd-60681fd09ffe","year":2014},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.380053Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:7072acf11eb20622fd64f7ac45e65a8bd430aacdfd81b7e5d600e3e884be77f1","observation_id":"98cf9bd7-2004-4e5e-a0a8-cb3209f8bfe4","resolution":{"observed_at":"2026-08-06T20:17:53.019855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.000064Z","title":"Karpathy and L","venue":null,"work_id":"2b2aa081-6c95-46fa-973e-f79ae894039e","year":2014},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.384875Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:a49788e231d51681b662e4d4cdc81961804c09dc7c53238b0d815cae61328b37","observation_id":"1ad04543-247d-4ee7-91f2-47ff431fa562","resolution":{"observed_at":"2026-08-06T20:17:53.004971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.984133Z","title":null,"venue":null,"work_id":"fc115586-801a-4e4d-be9d-255777d69b83","year":2023},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.390602Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:690ef75d0d554f5ccc58f9c03c0e81cba5c4e30151d08f4fda6c0b905221be8f","observation_id":"873a9d0f-504a-4467-a9f3-cf6f99944df0","resolution":{"observed_at":"2026-08-06T20:17:52.989062Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.968546Z","title":"Tiedemann and S","venue":null,"work_id":"e4baf2fb-fc86-4708-a929-ff0c56df2873","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.396633Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:b8a3e737d46a0e6ea6c96d76d3e7f52cee4338c76c93c638032ff983037aae13","observation_id":"3f50d82d-1e88-444d-828d-294438bb9421","resolution":{"observed_at":"2026-08-06T20:17:52.973096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.05477","last_updated":"2020-06-09T19:40:19Z","snapshot_observed_at":"2026-08-07T14:32:11.302763Z","submitted_at":"2020-06-09T19:40:19Z","title":"Unsupervised Paraphrase Generation using Pre-trained Language Models","version":1},"cited_work":{"arxiv_id":"2006.05477","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.05477","snapshot_observed_at":"2026-08-06T20:17:52.677967Z","title":"Unsupervised Paraphrase Generation using Pre-trained Language Models","venue":"cs.CL","work_id":"89624c5e-4357-4b6c-bbca-b5e5bb4a2132","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.401672Z"},"links":{"cited_paper":"/paper/2006.05477","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:11f107048a0aa8b69aab380d44e60a23c402c884e71e76ae6155cdf2f2e9a7d8","observation_id":"f54ac03a-3847-4067-bc37-2c8210496ea0","resolution":{"observed_at":"2026-08-06T20:17:52.684888Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02424","last_updated":"2018-10-22T13:48:32Z","snapshot_observed_at":"2026-07-06T05:13:49.420787Z","submitted_at":"2016-10-07T20:56:47Z","title":"Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02424","snapshot_observed_at":"2026-08-06T20:17:52.406569Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.406569Z"},"links":{"cited_paper":"/paper/1610.02424","citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:52669defae30d77f623b5f600ca04f532916e4f505db06239bece5af7f16454e","observation_id":"b78c66fe-72dc-4d3e-91a5-06b0ee048633","resolution":{"observed_at":"2026-08-06T20:17:52.406569Z","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":"2026-08-06T20:17:52.417452Z","title":"Papineni, S","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.417452Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:e22cc57b30cc6107c1c8495dd7fe43928c47fc9ac1f94fc1c66861859b0fc4e0","observation_id":"610a09ac-ab24-483b-9320-d19c73ae5b1d","resolution":{"observed_at":"2026-08-06T20:17:52.417452Z","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":"2026-08-06T20:17:52.937010Z","title":"Lin, ‘‘ROUGE: A package for automatic evaluation of summaries,’’ in Text Summarization Branches Out","venue":null,"work_id":"1d7e675f-136f-453c-b256-afeed162caa6","year":2004},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.426071Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:2ae25e0236547bc21fb64b14921353e5ec0444950ca6cde4f6865bdaf213eb8b","observation_id":"2bd260a1-1aa9-437a-8acb-6321a4f89f1b","resolution":{"observed_at":"2026-08-06T20:17:52.941734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.921794Z","title":"Ng and V","venue":null,"work_id":"2df1d75d-ecaa-42eb-8170-8ca025c1f6fe","year":2015},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.433672Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:bc849d4f261483e26780bf6d247152a499f82c30139c0a15d44fed7994581b1c","observation_id":"b7476fb4-33ce-4ed0-be29-97637dc65e1a","resolution":{"observed_at":"2026-08-06T20:17:52.926048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.906033Z","title":"Novikova, O","venue":null,"work_id":"4e9c8983-1377-4820-9c8c-ef94da183e42","year":2017},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.439898Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:d6b2218724935c299dd4f52b67a666d83f32af400430447a04dcd274ca045805","observation_id":"1a901aa7-2381-4d74-8d96-a69b074063bd","resolution":{"observed_at":"2026-08-06T20:17:52.910882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.889649Z","title":null,"venue":null,"work_id":"7c69bbab-cec0-474d-8fdc-e5bb8002f9ca","year":2019},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.444806Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:95d5ecdc4091a7793ebe3e2051aa2caa0fe432f18c907243133ac22dd66c85a3","observation_id":"49ec8a28-aee6-4a50-b9ae-bf5e27eecd3b","resolution":{"observed_at":"2026-08-06T20:17:52.894538Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.873849Z","title":null,"venue":null,"work_id":"528e5eee-6bbc-44a7-ac3b-39ec7bbf55d3","year":2018},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.449680Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:f434e96f4ee2cbd7eb16adb1e3549524f56cd13977f8a58dc543dc0e0aae8c52","observation_id":"cded953f-26bf-4b4a-b6d8-06ce83c8dcde","resolution":{"observed_at":"2026-08-06T20:17:52.878496Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.857297Z","title":"Zhang, V","venue":null,"work_id":"a47c39f3-46c5-40ec-bcca-6b30c402327e","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.456233Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:6192cfa8d5abb4a5d9b6a1bb8b3614131961eb22afb85b4d1e096198e8296a12","observation_id":"2e2357a1-97ef-45da-a6e1-f0f9547d1f3e","resolution":{"observed_at":"2026-08-06T20:17:52.862343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.842567Z","title":null,"venue":null,"work_id":"8c6a2bd9-6069-4a79-8243-d4051fcfea9b","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.463292Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:d0bc7bc7e9a0c4c3386c86689f83d22bacfdda0cb14dbe6cab66722ad38a4924","observation_id":"af06eb5c-1047-47ee-b71a-898fe473b8f3","resolution":{"observed_at":"2026-08-06T20:17:52.847003Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.827172Z","title":null,"venue":null,"work_id":"4b91e8fd-e5b2-43f2-8c29-8b9f2f05298c","year":2016},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.468810Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:fc3c7ca5874c3e2d9e7f9b4a1a6dc4dfa0e3ac2fef0792ed6eaaff16f8de21ee","observation_id":"99e3b007-834a-4aa5-9739-304d87c379b4","resolution":{"observed_at":"2026-08-06T20:17:52.832208Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.764926Z","title":"Available: https://aclanthology.org/2020","venue":null,"work_id":"d274cb87-af88-4377-8976-dccf39a517cb","year":2020},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":252,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.114599Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:cd41dc6c7be870f21d5e5e43a1d9075e8aa0a0b513c8838ab67f483e15d634ce","observation_id":"a9dec4a9-2a60-41da-8305-e13cc3629162","resolution":{"observed_at":"2026-08-06T20:17:53.771064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:52.953279Z","title":"Available: https://api.semanticscholar","venue":null,"work_id":"0dc823ae-4a9b-484d-b98c-44dbbf7fd226","year":null},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.412074Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:e59514120de3b956bf4e98c6cceecf1e5954b9390aa05284e0d1cd63c37dfa1e","observation_id":"1e646d70-9ec5-426b-a40a-a6808cf97aab","resolution":{"observed_at":"2026-08-06T20:17:52.958067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.212119Z","title":"Available: https://www.sciencedirect","venue":null,"work_id":"f49ed138-c616-4fce-9e4d-488692d6a95a","year":null},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.307959Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:4e2fdda6f9eaf874641b1383e6659b02b3b6e5340b0b65244a95ea587aa05aec","observation_id":"cd276abe-7dd9-4411-a859-4ac042aecefc","resolution":{"observed_at":"2026-08-06T20:17:53.217285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:17:53.508523Z","title":"Available: https://aclanthology.org/2021","venue":null,"work_id":"35a6db1e-6ce4-4969-8e0e-bbeab3c1b4c5","year":2021},"citing_paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation","version":1},"reference_index":6910,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:52.186042Z"},"links":{"citing_paper":"/paper/2507.03415"},"observation_digest":"sha256:30fc8a5f5789f5c54126ca5253464b02dcfde8ba6ae51eabec3b149482052699","observation_id":"67f5893b-f4a2-4aef-a6ad-5a5a72a47fd6","resolution":{"observed_at":"2026-08-06T20:17:53.514237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.03415","last_updated":"2025-07-04T09:23:13Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T18:10:05.336776Z","submitted_at":"2025-07-04T09:23:13Z","title":"SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation"},"reference_resolution":{"displayed":89,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":5,"verified_fuzzy":43},"total_outbound_references":89},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2507.03415."}