{"as_of":"2026-08-08T07:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69be8d10d4524f767e1a372807fbbcdeaa268736474ec5299e08d3a0c0ff9f70","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T23:09:04.743205Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"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/2607.20556/citation-record","integrity":"/paper/2607.20556/integrity","json":"/paper/2607.20556/citation-record.json","paper":"/paper/2607.20556"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:08:56.722986Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:56.722986Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:d4d9498bc2dd557017e3c56001f3b8ee645048c4adfb6d143563cede4b02453f","observation_id":"133138f1-607f-4852-94be-58be53b5973d","resolution":{"observed_at":"2026-08-01T23:08:56.722986Z","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":"2026-08-01T23:08:56.826766Z","title":"Bekkerman, H","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:56.826766Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:0ba56d2d19ae5d2f051a8c943e5b78d841adb90175d928eb7fc7b5c22edf0ce1","observation_id":"66c979f9-6238-4a8a-84d0-2ed82b04ab0a","resolution":{"observed_at":"2026-08-01T23:08:56.826766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17178","last_updated":"2024-02-27T03:32:04Z","snapshot_observed_at":"2026-08-04T16:29:43.964629Z","submitted_at":"2024-02-27T03:32:04Z","title":"NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17178","snapshot_observed_at":"2026-08-01T23:08:56.979186Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:56.979186Z"},"links":{"cited_paper":"/paper/2402.17178","citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:0fbfc19077bc0bcdf80f60f2a8b23bbdca133cde782d992b2b945fdcd0cef02b","observation_id":"a945a621-b4f1-4088-8c9d-2914fdf92c67","resolution":{"observed_at":"2026-08-01T23:08:56.979186Z","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":"2026-08-01T23:08:57.336723Z","title":"Bian and C","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:57.336723Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:b10ef8eeb3e4ea199f91eb3e4721f952f037fa37d4e863b092d401167eca4295","observation_id":"ae0473f5-026c-40df-97b9-ff399285b29c","resolution":{"observed_at":"2026-08-01T23:08:57.336723Z","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":"2026-08-01T23:08:57.477095Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:57.477095Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:f8b23b0b7b37f656fd310e6e817c90997c2d01b427b384aa0f0ff7f069c2f341","observation_id":"52e7b0ad-7db4-4531-a190-5d26609988f2","resolution":{"observed_at":"2026-08-01T23:08:57.477095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3115/1225403","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"df8eafed-8c33-4881-a163-4b627f17397f","year":2006},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:57.636091Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:9c3a3c1a8e162b8a6737c104ba73a9a5a7a57c7d7406f948b9dc1bb7b6a91e1b","observation_id":"2b252b7d-0225-47d6-a697-ce18095ed6e0","resolution":{"observed_at":"2026-08-01T23:13:48.976596Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:08:57.723359Z","title":"Bradel, N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:57.723359Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:16ac0af41ba11282b29dfeb942b46e0ad40fa3bfdc5057f5c7fbee3af05eadb7","observation_id":"216976e1-3160-4a9a-a995-061ef7cd28e7","resolution":{"observed_at":"2026-08-01T23:08:57.723359Z","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":"2026-08-01T23:08:57.925731Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:57.925731Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:cd48de6d8db29d711b8af04beecf08b4998231aa819a86d145939b7ef9d0cf70","observation_id":"b37325cb-5531-4899-b7e7-5f2680587197","resolution":{"observed_at":"2026-08-01T23:08:57.925731Z","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":"2026-08-01T23:08:58.055348Z","title":null,"venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:58.055348Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:423c8fcf20be541470513c2e744649a0b5101f692376361139ae1b78eed7290f","observation_id":"b763b255-b92d-48fa-84ca-574d5a4ccaac","resolution":{"observed_at":"2026-08-01T23:08:58.055348Z","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":"2026-08-01T23:08:58.327907Z","title":"Dowling, N","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:58.327907Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:8ac7548cf685898daa93810a5fc1bfed11240fccad273055494284a9f3762beb","observation_id":"7bd4f835-3f2a-4408-9ffd-e8dc4e51a477","resolution":{"observed_at":"2026-08-01T23:08:58.327907Z","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":"2026-08-01T23:08:58.517621Z","title":"El-Assady, R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:58.517621Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:11ef285bd166beaa045116ff12b898d26f70905972cbb7c189549111112ec580","observation_id":"5a795a3c-0acb-4d84-a8da-51bdd568f273","resolution":{"observed_at":"2026-08-01T23:08:58.517621Z","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":"2026-08-01T23:08:58.603565Z","title":"Endert, P","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:58.603565Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:4d4bfcab3354a280cef3f4ea8152cebef427ef05d3ca2daacb756e52f4d10049","observation_id":"335666fa-8d29-4cb3-9ee7-07632473a3f1","resolution":{"observed_at":"2026-08-01T23:08:58.603565Z","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":"2026-08-01T23:08:58.742698Z","title":"Faruqui, J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:58.742698Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:5e2555364d388b6942e4f522f2bb4b18c4cac582ee4a5d6b76f7dac589e5432e","observation_id":"d48b0fe0-7cc7-47c3-9ee2-2737affbfa6f","resolution":{"observed_at":"2026-08-01T23:08:58.742698Z","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":"2026-08-01T23:08:58.890695Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:58.890695Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:a45f2d03e4a1534cdb8d0cafc86b013346c942e9dc4b5b2aa921350557152e64","observation_id":"08f95553-29e8-4851-bf46-9130ed6cf7af","resolution":{"observed_at":"2026-08-01T23:08:58.890695Z","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":"2026-08-01T23:08:59.034246Z","title":"Grootendorst","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:59.034246Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:3382bcca94a5a25ac49dde0cd60fb7da0920667ef7ba110acaa345f7f15c08d1","observation_id":"84a382a9-5565-45b4-bc56-1ef31dbc4205","resolution":{"observed_at":"2026-08-01T23:08:59.034246Z","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":"2026-08-01T23:08:59.215671Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:59.215671Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:5072313b5fe483d7334ee52a75fcc33f8ebc3a04cd8b8fef5c33b67481df69ab","observation_id":"0d6ae041-f0d4-4568-bd6f-d67b5b0b66ac","resolution":{"observed_at":"2026-08-01T23:08:59.215671Z","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":"2026-08-01T23:08:59.557997Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:59.557997Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:84b170027b4d7fbb60b16953595b4728bcffefdf72f619542050b9ea0a9f5589","observation_id":"54704ca3-7d15-4f14-adff-fec15ae52f2a","resolution":{"observed_at":"2026-08-01T23:08:59.557997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03952","last_updated":"2026-04-20T06:05:54Z","snapshot_observed_at":"2026-08-03T00:56:47.399756Z","submitted_at":"2024-03-06T18:56:36Z","title":"Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03952","snapshot_observed_at":"2026-08-01T23:08:59.878871Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:59.878871Z"},"links":{"cited_paper":"/paper/2403.03952","citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:b1ef44c41f5f0819c3fc4e1d42e047f608a9fc8e380586a46c8aaaa7ce1333f8","observation_id":"ff1ff695-9391-4bb8-90d4-acc9b231c45b","resolution":{"observed_at":"2026-08-01T23:08:59.878871Z","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":"2026-08-01T23:08:59.995518Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:59.995518Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:cc6351052138cf4d285886b08fcaa1d55b2ff380b6afbba68f162ff64064ff1a","observation_id":"57843335-fb53-475b-b833-2839e66fc407","resolution":{"observed_at":"2026-08-01T23:08:59.995518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3233/ida-140658","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Intelligent Data Analysis","work_id":"2805bf34-4c42-468a-88cb-5bda7d68d6a7","year":2014},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.117545Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:8377bcd64fb8ce56e4486d8e5ad66ab226f79016b6ef18f5b68887d5b8a05736","observation_id":"7bdb4486-86b6-4a14-aca5-e20905607972","resolution":{"observed_at":"2026-08-01T23:13:48.633111Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:09:00.273339Z","title":"Huang, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.273339Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:b85b23c0e1f8f0f0f88b6fffda51e90eaa31cf5db214779eb7f3dd9ef48f2aca","observation_id":"0098aa7e-dc12-49e6-b06a-5b8be0676534","resolution":{"observed_at":"2026-08-01T23:09:00.273339Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17824","last_updated":"2024-01-31T13:35:07Z","snapshot_observed_at":"2026-08-06T03:28:27.449885Z","submitted_at":"2024-01-31T13:35:07Z","title":"A Survey of Pre-trained Language Models for Processing Scientific Text","version":1},"cited_work":{"arxiv_id":"2401.17824","doi":"10.48550/arxiv.2401.17824","metadata_source":"pith","pith_arxiv_id":"2401.17824","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"A Survey of Pre-trained Language Models for Processing Scientific Text","venue":"cs.CL","work_id":"7b667a17-b07a-4fb9-aaec-8af1b7a8c5ce","year":2024},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:59.696485Z"},"links":{"cited_paper":"/paper/2401.17824","citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:ed95b856f3331c764e12eac01defc73aa8f1791699da0b5e102709fc234d744e","observation_id":"86afb162-086c-405b-8b3b-df229134a3e2","resolution":{"observed_at":"2026-08-01T23:13:48.743983Z","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":"10.3390/make4040050","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kiefer, M","venue":"Machine Learning and Knowledge Extraction","work_id":"b49f8b6d-2560-4c97-83b1-863716b1313d","year":2022},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.521111Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:549f5c50ca4535514c40db6a9db20023a67b8e25cdf25a043123f5b1c6b253d7","observation_id":"6fb5f038-e9dd-41ca-b06f-11ed8eaac4ee","resolution":{"observed_at":"2026-08-01T23:13:48.451248Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:09:00.609410Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.609410Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:58a8629991b240c8843f2b85abfb70099673dbf71756ece6020f4f2cef999ff0","observation_id":"51f42585-b71f-481a-bd61-cedb873ceacc","resolution":{"observed_at":"2026-08-01T23:09:00.609410Z","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":"2026-08-01T23:09:00.734476Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.734476Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:a6c01e67940d57ac35bae47a6f02ce9cf3a96f4e63cead9e37d7cdc57719bb6b","observation_id":"07292135-89e7-4ad5-83ec-47aab3a4cd82","resolution":{"observed_at":"2026-08-01T23:09:00.734476Z","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":"2026-08-01T23:09:00.848365Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.848365Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:ac8e0a82ca5ef979163144f4ace68af788b19cdc3f2123c3e2ab9f95b4c9a1e7","observation_id":"e0b8ef78-4879-4867-9db1-7e4d76dedd09","resolution":{"observed_at":"2026-08-01T23:09:00.848365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tvcg.2012.224","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kang and J","venue":"IEEE Transactions on Visualization and Computer Graphics","work_id":"64d033f7-22e5-480d-a4e6-7a20327366bd","year":2012},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.407632Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:be99ed675f7ee4163e472b47e0823bb11c1e08862f2e3e1a289d3cdac8a0430e","observation_id":"134b4bf7-31f7-4730-88da-79420f0b5a61","resolution":{"observed_at":"2026-08-01T23:13:48.541414Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:09:01.118013Z","title":"Meinecke, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.118013Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:982c91661f242ba94d1ecbd7a69c703838a82ed4417a0d097d45cb2d78f4c790","observation_id":"d9fb5fa2-ccbf-4722-919f-b6cbf2542bd5","resolution":{"observed_at":"2026-08-01T23:09:01.118013Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T23:09:01.236601Z","title":"Mishra and J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.236601Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:45c5fea3ec05b5f060b5bae6a03cf00dffd0f4ba23b48c2b8026ec50af7ce8ed","observation_id":"64696476-585f-493e-87c0-17c029511e19","resolution":{"observed_at":"2026-08-01T23:09:01.236601Z","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":"2026-08-01T23:09:01.373400Z","title":"Mitchell","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.373400Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:413024d02b87e0554e4910544afc35bac56e9954261c3dd6b0284c89da58ba02","observation_id":"3de2b583-732c-4086-a406-d88f322e814b","resolution":{"observed_at":"2026-08-01T23:09:01.373400Z","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":"2026-08-01T23:09:01.466219Z","title":"Nourashrafeddin, E","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.466219Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:8c8325bfbdd47f8b056d875045ce4b5ccf57744f295064ed17fb109a4d5f1d73","observation_id":"2fb43bdc-f2ce-4cd0-83d3-e6c079b86881","resolution":{"observed_at":"2026-08-01T23:09:01.466219Z","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":"2026-08-01T23:09:00.966565Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:00.966565Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:31d3d23005248c1ba2d78a2296213b080895b55ec6e83f77b2712377486d782a","observation_id":"da8384d6-411b-4366-9b65-5afb7e1f1ff3","resolution":{"observed_at":"2026-08-01T23:09:00.966565Z","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":"2026-08-01T23:09:01.645730Z","title":"Rezaeipourfarsangi, N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.645730Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:e440f654e56f815f2ad691c56674766e72451b33c3f19bf2bc4e969a12e2ea33","observation_id":"f76e4ca5-1fc0-4cd0-8f90-b340bc578908","resolution":{"observed_at":"2026-08-01T23:09:01.645730Z","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":"2026-08-01T23:09:02.011267Z","title":null,"venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:02.011267Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:2d4b2130da0f7432257ad44bd94b7a7fc35919c778573d655bed35869c97531d","observation_id":"d1924898-1450-4abf-b42e-bff7637be46e","resolution":{"observed_at":"2026-08-01T23:09:02.011267Z","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":"2026-08-01T23:09:02.236314Z","title":"Ruppert, M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:02.236314Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:365f7c4fba025c9bdc9aab1cc38cd569b20213b378a3dcc93d785f706f2f23ac","observation_id":"20285bbf-6530-4284-a77d-ec3d80674350","resolution":{"observed_at":"2026-08-01T23:09:02.236314Z","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":"2026-08-01T23:09:02.371135Z","title":"Sakai and S","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:02.371135Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:1e339e978536341451b6f69b0c5c6f40297c18ece49594e2f70be9c2a85c0766","observation_id":"4a7daeee-e782-4b4f-bcb6-d7bd827edd8d","resolution":{"observed_at":"2026-08-01T23:09:02.371135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/p19-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"3f4f5ec2-42ac-406f-b5d9-3f3aeae2f59e","year":2026},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:02.501581Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:84efac3b4e4722494dbaf224b53ea863e89bc1e6840928676821b77f2904516b","observation_id":"db4a4fa2-cc35-4eb1-8ce4-f80eabf1480b","resolution":{"observed_at":"2026-08-01T23:13:48.376885Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:09:01.509965Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.509965Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:d48ffb111ac25d3273f1fced2470c0865abe5afa2fd262411aa2981877859cdc","observation_id":"4cb0b6c3-6ab0-401d-8a5e-27da2a724180","resolution":{"observed_at":"2026-08-01T23:09:01.509965Z","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":"2026-08-01T23:09:02.784797Z","title":"Sherkat, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:02.784797Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:e8fb615cab3360aa790526201771d6d8d4f69703b934235b4ee6058c0d171aa0","observation_id":"ed48e710-6d7b-4984-b5a1-0e9504ad0fa2","resolution":{"observed_at":"2026-08-01T23:09:02.784797Z","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":"2026-08-01T23:09:03.104783Z","title":"Stasko, C","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:03.104783Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:b0aa4e9712c5402b87ccf43879540b5bfe5ef2ce350929a2fb0ad1ae7eef54dc","observation_id":"bec54ea2-bf94-401e-a5e5-777a4d359a12","resolution":{"observed_at":"2026-08-01T23:09:03.104783Z","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":"2026-08-01T23:09:03.289247Z","title":"van der Maaten and G","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:03.289247Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:9bc36dae0ca2346812c8068b8cb3fb038d042861c5784716be931d9e7ea3f053","observation_id":"cb6ca09a-6d23-495a-8186-84726a38ad30","resolution":{"observed_at":"2026-08-01T23:09:03.289247Z","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":"2026-08-01T23:09:03.454429Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:03.454429Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:5e867779ac2a2bf62803e79c236dc47acf59c84d7b5b423b29b7711c313655e6","observation_id":"e0794d2d-4dd4-4cbb-b794-d9665d9bf3d5","resolution":{"observed_at":"2026-08-01T23:09:03.454429Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T23:09:03.619786Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:03.619786Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:167d134199fd528796fdb0b808854d20f14f79e734395e771ad3bea467eab343","observation_id":"d72edbcf-688c-4c1a-825b-cf9a4865fa63","resolution":{"observed_at":"2026-08-01T23:09:03.619786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3241380","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sherkat, E","venue":"ACM Transactions on Interactive Intelligent Systems","work_id":"0a3a5e48-7e04-450e-9656-75d61020f9b1","year":2019},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:02.652759Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:e329c665caccaa3cdd0dcc1efe97585487ac0b8bbadce0d73ada18e3bb3cde73","observation_id":"5572fa80-c7bc-4c32-9720-7784292c023a","resolution":{"observed_at":"2026-08-01T23:13:48.292235Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:09:03.744434Z","title":"Avoid common words that appear across multiple topics","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:03.744434Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:da58c50d3cef4b402f9d279721557861bc820bc3c00caae643381b261c3632d1","observation_id":"49ba0db3-7ab7-40b6-a482-5c854b50ef8b","resolution":{"observed_at":"2026-08-01T23:09:03.744434Z","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":"2026-08-01T23:09:03.885750Z","title":"Terms such as player, student, or motorcycle may correspond to multiple topics and lead to mixed candidates","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:03.885750Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:5e6276cd17530a21db0f0e569d3938b32b11b6e4037c1c67fc26fa9f2ddd8ef3","observation_id":"edf36f0d-2578-4154-8f7b-52e7526a1587","resolution":{"observed_at":"2026-08-01T23:09:03.885750Z","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":"2026-08-01T23:09:04.050299Z","title":"Avoid adding many near-synonyms that provide little additional infor- mation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:04.050299Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:b025e0b70ef5bad68d3f775e08ff801e1c9277ad23168ebfaf4cb5b94e90aae9","observation_id":"9c4b9d2f-3380-48cc-8f92-601f4179881c","resolution":{"observed_at":"2026-08-01T23:09:04.050299Z","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":"2026-08-01T23:09:04.255761Z","title":"Practical selection workflow.We recommend an iterative work- flow:","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:04.255761Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:78da7b358fc5d802cd4f7e4cd1342dbff74d802195d8a9905154cc6fe48d7a43","observation_id":"9521fdf7-ddb3-4858-ada8-bcb43076cefc","resolution":{"observed_at":"2026-08-01T23:09:04.255761Z","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":"2026-08-01T23:09:04.370906Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:04.370906Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:f30dd3814e5cf0feb53e84aacce3f9f753d0e5968794f00f501a443b94cd6fff","observation_id":"37e33293-ac57-4564-8618-463f326ba050","resolution":{"observed_at":"2026-08-01T23:09:04.370906Z","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":"2026-08-01T23:09:04.542060Z","title":"If candi- dates clearly span multiple themes or the keyword meaning shifts across contexts, replace that keyword","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:04.542060Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:8e7053f726af810a41a80119dbdfc47e090053bde231b52c95578fb549aa9e4a","observation_id":"b7f2b8bd-5368-49e5-add9-83a5665ea1b0","resolution":{"observed_at":"2026-08-01T23:09:04.542060Z","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":"2026-08-01T23:09:04.660570Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:04.660570Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:dbf5149f4ec8a7afb94eecb7ff8ee54b0ccebd34256800688975ad07148ddabb","observation_id":"c43b7f5a-933b-425a-b8f9-d04ccab85208","resolution":{"observed_at":"2026-08-01T23:09:04.660570Z","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":"2026-08-01T23:09:04.743205Z","title":"hard to tune","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:04.743205Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:8e490813f1b67f0751b44839b7e8e4050d1eee400a164ffc4f47518dd3d1c6d2","observation_id":"c97d80da-5c92-4b98-b76c-dafb7c32638b","resolution":{"observed_at":"2026-08-01T23:09:04.743205Z","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":"2026-08-01T23:08:59.339016Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":1988,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:59.339016Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:295ef3fc45caf619982755055b0955d2b8b54d83065e303ce1478ea5afa76c7c","observation_id":"422ed890-dbab-40ee-89a6-f1e4e8070ca5","resolution":{"observed_at":"2026-08-01T23:08:59.339016Z","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":"2026-08-01T23:09:01.023066Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.023066Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:fe378dfae673d052ff652f8e0898eeb7c3afc8068d07b9063b1ad12674327a67","observation_id":"1e97ecca-c500-440c-ad2e-294d4f463a29","resolution":{"observed_at":"2026-08-01T23:09:01.023066Z","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":"2026-08-01T23:08:58.190836Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:58.190836Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:12aa596953805e210a7d172a41634d4ad643dd65f0409464ca44e05205e335f8","observation_id":"a5badbc6-758b-4da6-a759-85f39d851fba","resolution":{"observed_at":"2026-08-01T23:08:58.190836Z","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":"2026-08-01T23:08:57.811341Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:57.811341Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:ab583ad35fab9fe7a0e29a50e6fc0673774ecc8bfc70c371f608ea1b4d5fca03","observation_id":"a30c587e-223d-4668-aa54-0319e16caf3e","resolution":{"observed_at":"2026-08-01T23:08:57.811341Z","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":"2026-08-01T23:09:02.941599Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:02.941599Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:5b69b1377bee84a063b4820567bde8b9d34110e01cadab0b43068e78e05f8337","observation_id":"8673fc0e-293b-494a-a654-2e141b5bee89","resolution":{"observed_at":"2026-08-01T23:09:02.941599Z","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":"2026-08-01T23:09:01.832599Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:01.832599Z"},"links":{"citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:f8a6c33b736598ceb683717557026b6ef1efceff3268318dfdbf50fc45489490","observation_id":"71fa963a-fe38-4b3f-bab3-734fa469de80","resolution":{"observed_at":"2026-08-01T23:09:01.832599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17178","last_updated":"2024-02-27T03:32:04Z","snapshot_observed_at":"2026-08-04T16:29:43.964629Z","submitted_at":"2024-02-27T03:32:04Z","title":"NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17178","snapshot_observed_at":"2026-08-01T23:08:57.126196Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:57.126196Z"},"links":{"cited_paper":"/paper/2402.17178","citing_paper":"/paper/2607.20556"},"observation_digest":"sha256:f33fad0100fd992c2c3da6fed814bbfafbe2c3e30cc70dfff2c8698bfc4b686b","observation_id":"e3608723-8f11-4cdb-86f7-38d40cb3b123","resolution":{"observed_at":"2026-08-01T23:08:57.126196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.20556","last_updated":"2026-07-24T07:57:52Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-05T23:48:32.365794Z","submitted_at":"2026-07-17T00:25:36Z","title":"KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":49,"verified_exact":7,"verified_fuzzy":0},"total_outbound_references":59},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+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 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.20556."}