{"as_of":"2026-08-08T12:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c30e6e8b33b19c6e2662c53042d7e0248be4ff60f3dedf1e061a2b6133b0b9ef","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T22:16:58.500777Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"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/2608.05857/citation-record","integrity":"/paper/2608.05857/integrity","json":"/paper/2608.05857/citation-record.json","paper":"/paper/2608.05857"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:16:58.862247Z","title":"In: Petroni, F., Siciliano, F., Silvestri, F., Trappolini, G","venue":null,"work_id":"c4b11707-65ef-4102-bc7a-e9b043e70e78","year":2024},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.438508Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:683eb02ee2fd6cc80f318ce3a5d2c964549816eb58beda79c10c50939a3446f0","observation_id":"cd00e8f3-bdd1-4b35-8c73-118979046801","resolution":{"observed_at":"2026-08-07T22:16:58.866047Z","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":"2026-08-07T22:16:58.850575Z","title":"(eds.) Machine Learning and Principles and Practice of Knowledge Discovery in Databases","venue":null,"work_id":"afda510d-6bb4-40f0-99f2-f13e370c2ac8","year":2026},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.443125Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:6c790e3de8e66b8ba6748b66b22b22158ef72e7fdb838826710812d54564a072","observation_id":"1ad23051-c0bb-4877-963d-9e3465155f73","resolution":{"observed_at":"2026-08-07T22:16:58.854769Z","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":"2026-08-07T22:16:58.839308Z","title":"In: Yue, Y., Garg, A., Peng, N., Sha, F., Yu, R","venue":null,"work_id":"710fdc88-1394-420c-98ff-deadffdf9a64","year":2025},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.447153Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:56fb2f0f3b56231f5b6105e1d18ad6799dcdaf773fe196e72337db28fecba5ee","observation_id":"2dbd2608-bcca-4111-bb3a-e423432ccfa2","resolution":{"observed_at":"2026-08-07T22:16:58.843062Z","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":"2026-08-07T22:16:58.828003Z","title":"In: Demberg, V., Inui, K., Mar- quez, L","venue":null,"work_id":"4a3552eb-ca3c-4074-ad80-db67286a23c9","year":null},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.451416Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:2082ebb9feaf7d48657b385c8caf7b26aa172f556f22579ba7a39122dbbd09fd","observation_id":"a5679651-692c-4a1e-98e8-903fdb092efd","resolution":{"observed_at":"2026-08-07T22:16:58.831760Z","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":"2605.28190","last_updated":"2026-05-27T09:11:13Z","snapshot_observed_at":"2026-08-06T13:04:16.055052Z","submitted_at":"2026-05-27T09:11:13Z","title":"The Harder Text Embedding Benchmark (HTEB): Beyond One-dimensional Static Robustness","version":1},"cited_work":{"arxiv_id":"2605.28190","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.28190","snapshot_observed_at":"2026-08-07T22:16:58.782611Z","title":"The Harder Text Embedding Benchmark (HTEB): Beyond One-dimensional Static Robustness","venue":"cs.CL","work_id":"722e5eba-62f3-42a5-ba60-a586de0fbca7","year":2026},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.459606Z"},"links":{"cited_paper":"/paper/2605.28190","citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:32c1d9d0007c1f0c186ffad65ed6280089e723acda4f383b202dc3f0d5500548","observation_id":"3160a551-34c2-4b45-8bd3-ad4b1e659809","resolution":{"observed_at":"2026-08-07T22:16:58.787642Z","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":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-07T22:16:58.463811Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.463811Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:220c6775c8c28a7fac1d64d06d9355ecf306c80b0fa6abae9895f5d25bfc0042","observation_id":"995c03c9-9e27-4299-a3c8-0c9b3572031d","resolution":{"observed_at":"2026-08-07T22:16:58.463811Z","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":"2026-08-07T22:16:58.467874Z","title":"In: Webber, B., Cohn, T., He, Y., Liu, Y","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.467874Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:c25be771752bc7905fcd382852b2258a6d0b8f340fa73061f3da4fb6b1fd406c","observation_id":"01f7306e-6c38-404c-a590-f3266618c6aa","resolution":{"observed_at":"2026-08-07T22:16:58.467874Z","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":"2026-08-07T22:16:58.471544Z","title":"In: Chaudhuri, K., Salakhutdinov, R","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.471544Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:ab6266c5653cc6fe98bacffcb6cf832128b79d0ce8a15fbe2e48f697b8edda3a","observation_id":"d8f4a60d-bd69-41a0-befb-5032a4adca48","resolution":{"observed_at":"2026-08-07T22:16:58.471544Z","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":"2026-08-07T22:16:58.808336Z","title":"In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H","venue":null,"work_id":"159d926f-dba8-48ec-b5a6-cee1b714fbee","year":2020},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.475155Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:b05e9e26683d77d3387caf82c4038e81f398537f665d3b07b16ecd1ef9c8b113","observation_id":"28ad01bf-0702-46a0-a372-dd04eb13127c","resolution":{"observed_at":"2026-08-07T22:16:58.812055Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:16:58.478587Z","title":"In: Vlachos, A., Augenstein, I","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.478587Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:9dfd92f12f014b3b0dcd535b3706bcedf076a2bda226b18369e6f5c39082b247","observation_id":"c5c0b0ec-f008-4539-8bfe-dbc7e07ec6fb","resolution":{"observed_at":"2026-08-07T22:16:58.478587Z","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":"2026-08-07T22:16:58.482653Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.482653Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:29e0e83c11df1788e50a5691d1a6d47b403e5518e524c4ecda6b2d6c2da5673d","observation_id":"0384e88a-8871-420e-8c67-bc227bd9753e","resolution":{"observed_at":"2026-08-07T22:16:58.482653Z","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":"2026-08-07T22:16:58.486410Z","title":"In: Inui, K., Jiang, J., Ng, V., Wan, X","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.486410Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:d07376ffc59c90281b552c49a5bc531c0fcdd50953269db127b81dc883309659","observation_id":"9d6928d5-b167-494a-a27f-ffab36f51f68","resolution":{"observed_at":"2026-08-07T22:16:58.486410Z","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":"2601.16907","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:16:58.750695Z","title":null,"venue":null,"work_id":"2de6284c-e617-498b-b38e-4d1d5dd0f42e","year":2026},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.489993Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:5a533c623b7632a405a09fbc786b21317482f458281114887039488653c9bd07","observation_id":"fffe6788-9c94-4b69-b5ed-984123461995","resolution":{"observed_at":"2026-08-07T22:16:58.759097Z","resolver_source":"arxiv_id","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":"2026-08-07T22:16:58.796511Z","title":"In: Thirty-ﬁfth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021)","venue":null,"work_id":"f79c392a-b469-4b65-b252-55496c09f5a1","year":2021},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.493645Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:a943639e85c5b5ae844d8caf1140db5de57f7c298b63731341bfd46bfc1b8efe","observation_id":"5954ffe5-2f1a-4c43-afe0-136e09e599ff","resolution":{"observed_at":"2026-08-07T22:16:58.800721Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:16:58.497186Z","title":"In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.497186Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:ed4356097a2d24933408f6b1e3153a40983d58eff67e9b4f0f24239360ab0d5a","observation_id":"f32f9fa6-4a56-4a97-9721-8de1b297c469","resolution":{"observed_at":"2026-08-07T22:16:58.497186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.16318","last_updated":"2026-07-23T16:54:01Z","snapshot_observed_at":"2026-08-07T16:00:04.358517Z","submitted_at":"2025-04-22T23:31:32Z","title":"Semantics at an Angle: When Cosine Similarity Works Until It Doesn't","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.16318","snapshot_observed_at":"2026-08-07T22:16:58.500777Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.500777Z"},"links":{"cited_paper":"/paper/2504.16318","citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:f36353c8b6d8f0ec5c187493c1c482d4cf3ecf4c4bccb646f22c6aa241edce97","observation_id":"3a63939c-8236-4c3b-9a70-196c8eb6700d","resolution":{"observed_at":"2026-08-07T22:16:58.500777Z","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":"2026-08-07T22:16:58.455675Z","title":"https://doi.org/10.18653/v1/2026.eacl-long.130 Mapping Similarity Spaces across Embedding Models with SQP 15","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing","version":1},"reference_index":2851,"source":"pdf_text","source_observed_at":"2026-08-07T22:16:58.455675Z"},"links":{"citing_paper":"/paper/2608.05857"},"observation_digest":"sha256:5dfc45e43d896d1a9e2643322643c7d179d5baedadf975583dd32a507ceb4e58","observation_id":"9bc35c81-d188-405c-ba31-331b4d5037ff","resolution":{"observed_at":"2026-08-07T22:16:58.455675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.05857","last_updated":"2026-08-06T10:38:13Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T11:15:16.831829Z","submitted_at":"2026-08-06T10:38:13Z","title":"Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":6},"total_outbound_references":17},"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 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.05857."}