{"as_of":"2026-08-20T15:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:96c4af09006d044df0468a64d6625b22abb9153f885f442a78ccc75ad2a85dc8","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T17:26:11.910714Z","state":"measured"},{"denominator":73,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":73,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2608.06972/citation-record","integrity":"/paper/2608.06972/integrity","json":"/paper/2608.06972/citation-record.json","paper":"/paper/2608.06972"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:26:13.087214Z","title":"Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) , year=","venue":null,"work_id":"2b290e6f-8645-4c76-9492-9389c7c6ae7c","year":2018},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.586213Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:5e3bc2c3d3d16c766f34e9b983e638b2246c739a02e814cca1d226481441e5c5","observation_id":"3d437431-681e-492c-b760-186839dfed9c","resolution":{"observed_at":"2026-08-10T17:26:13.091088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:13.076440Z","title":"Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=","venue":null,"work_id":"08a9a3da-b186-4d57-bf0c-2b907be17a27","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.593432Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:817f3fdaa2319b3f2dd508d29e5da7eb847a1f26a8384c393dbd906c649604f9","observation_id":"dc5e2627-0b39-4858-a3c6-b3f1935944d5","resolution":{"observed_at":"2026-08-10T17:26:13.079764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:13.066676Z","title":"2025 , eprint=","venue":null,"work_id":"3e8f2eab-0566-49e4-abcb-6e9de4942d51","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.598313Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:67f14f73c6cc84eb3d62aecd0bae3c7f0a4abd2a2fd5a74e20c5d1cf6b51f24e","observation_id":"b37ec440-13c5-4fb0-8656-09ddc400d975","resolution":{"observed_at":"2026-08-10T17:26:13.069900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05160","last_updated":"2025-01-02T05:26:47Z","snapshot_observed_at":"2026-08-17T02:26:12.770175Z","submitted_at":"2024-10-07T16:14:05Z","title":"VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05160","snapshot_observed_at":"2026-08-10T17:26:11.602519Z","title":"2410.05160 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.602519Z"},"links":{"cited_paper":"/paper/2410.05160","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:185c13ed1c9489953e6503682b5321ceb3092a72e86de18fb94fa9eae482df31","observation_id":"ae260262-65ba-47e6-9437-c485fa9fb3cf","resolution":{"observed_at":"2026-08-10T17:26:11.602519Z","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":"2026-08-10T17:26:13.056186Z","title":"2025 , eprint=","venue":null,"work_id":"08c33fbf-2704-41ce-8abb-3623a7be29d8","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.607804Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:4e55d19fac52814b39f5f22cdb3f83c554bb74f178d8311d83ad7bf8114478dc","observation_id":"d6a95a4d-b402-454d-bdad-a7f2135d10ff","resolution":{"observed_at":"2026-08-10T17:26:13.059589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.04590","last_updated":"2025-07-07T00:51:57Z","snapshot_observed_at":"2026-08-08T15:48:31.665148Z","submitted_at":"2025-07-07T00:51:57Z","title":"VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.04590","snapshot_observed_at":"2026-08-10T17:26:11.612452Z","title":"2507.04590 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.612452Z"},"links":{"cited_paper":"/paper/2507.04590","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:3422c4134b4f4d2ecb98b7f03084f3ec82a4c7ac773f6520055145930515c31f","observation_id":"dc2d5340-985e-46b7-92ae-b9100cfa2224","resolution":{"observed_at":"2026-08-10T17:26:11.612452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12883","last_updated":"2025-03-26T07:37:26Z","snapshot_observed_at":"2026-08-18T10:29:29.816909Z","submitted_at":"2024-07-16T17:58:27Z","title":"BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12883","snapshot_observed_at":"2026-08-10T17:26:11.617640Z","title":"and Tang, Michael and others , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.617640Z"},"links":{"cited_paper":"/paper/2407.12883","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:099fb195ac7471b9ee876dd7ba4edc8ffcaaf74613e4bd0172e4e87cd36a1dd8","observation_id":"7fb3e493-60ff-4384-be79-69702d6bc62a","resolution":{"observed_at":"2026-08-10T17:26:11.617640Z","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":"2026-08-10T17:26:13.045678Z","title":"2024 , address=","venue":null,"work_id":"28db6fa7-9a46-470a-bddb-97e654c9d529","year":2024},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.623107Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:7fc58e4c4c67d9440514cb4145c4cee3365e400c9fea049c91d6cd4f415f967d","observation_id":"7fbc9656-8c91-437f-9585-05dabd74a26d","resolution":{"observed_at":"2026-08-10T17:26:13.049150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05176","last_updated":"2025-06-11T02:54:49Z","snapshot_observed_at":"2026-08-20T02:29:37.867282Z","submitted_at":"2025-06-05T15:49:48Z","title":"Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.05176","snapshot_observed_at":"2026-08-10T17:26:11.628335Z","title":"2506.05176 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.628335Z"},"links":{"cited_paper":"/paper/2506.05176","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:0e6b1ab449ae8bd6acd09a57cd566c90138bdcaae7e7d2cfeb51b908b973a477","observation_id":"d61ddcb1-e4cc-498d-88a0-eae3e4089fee","resolution":{"observed_at":"2026-08-10T17:26:11.628335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.04720","last_updated":"2026-01-19T09:03:26Z","snapshot_observed_at":"2026-08-14T12:22:57.900954Z","submitted_at":"2026-01-08T08:36:06Z","title":"Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.04720","snapshot_observed_at":"2026-08-10T17:26:11.634399Z","title":"2601.04720 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.634399Z"},"links":{"cited_paper":"/paper/2601.04720","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:03a11d7ab2be6b2501f3f0b65f3851b3199242d02d9d65e49179693ec4915efc","observation_id":"9233f4c7-295d-4faa-b330-bbc4e5186548","resolution":{"observed_at":"2026-08-10T17:26:11.634399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-10T17:26:11.640176Z","title":"2505.09388 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.640176Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:4484727f2446549a20849bc413ea29448fe9681cf0e74cf2d2c6487e452e8d85","observation_id":"dcfc8665-751d-4737-b4a7-ca2bc7fc8aa8","resolution":{"observed_at":"2026-08-10T17:26:11.640176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-08-17T13:26:10.378579Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-10T17:26:11.646578Z","title":"2511.21631 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.646578Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:f922afa7c34af5754287242eead48769a11af99082ecd9d62a6a3c3037feabff","observation_id":"2b132907-f8d2-410c-b7d6-7653b4b96f4d","resolution":{"observed_at":"2026-08-10T17:26:11.646578Z","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":"2026-08-10T17:26:11.651192Z","title":"2511.00405 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.651192Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:a1d07484f19ddc80b9d9cbc578f77073d2084144b4752bbe85cf1e9c3ebd1bef","observation_id":"6c28d092-43b4-4f94-91c2-228d81914677","resolution":{"observed_at":"2026-08-10T17:26:11.651192Z","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":"2026-08-10T17:26:11.655250Z","title":"2602.13823 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.655250Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:dd1756069ff7a03d9e09b91dd150282f9fa2e635d7604c4e4702134e4801a2b6","observation_id":"0be5e604-3c19-47b2-960a-382f4d9527a2","resolution":{"observed_at":"2026-08-10T17:26:11.655250Z","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":"2026-08-10T17:26:13.032536Z","title":"What you can cram into a single","venue":null,"work_id":"71270edb-c0d7-4ee0-aa2a-92e8b1351a5f","year":2018},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.659053Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:f0f22d3f01ed2beb4ba4510a72d9ee20ff1360080296b6c7f94b87a3fb82e079","observation_id":"7fffc8c3-df8b-4815-becf-641267b98427","resolution":{"observed_at":"2026-08-10T17:26:13.037206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:13.020414Z","title":null,"venue":null,"work_id":"6b483031-5bca-4238-91cb-82d0300a6428","year":2019},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.663168Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:53bf89f1bbef976c74b4dbeced9a09165a4c7c7a90f23b320c3bbc335cb93328","observation_id":"e18b30c2-c425-496b-8c04-3959e16f3888","resolution":{"observed_at":"2026-08-10T17:26:13.024372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:13.006954Z","title":null,"venue":null,"work_id":"452c2e21-26a7-415f-af58-7797fcc18b65","year":2019},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.667001Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:edf0e5d266b10974165c43a9d2c763e914721532372b821bf80ea9d68062f09c","observation_id":"a69a715d-f547-4f78-9a3b-b29ac74547ad","resolution":{"observed_at":"2026-08-10T17:26:13.011236Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.990760Z","title":"Transactions of the Association for Computational Linguistics , volume=","venue":null,"work_id":"5aa99043-e57d-41b2-b555-9fe62ba16010","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.670220Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:d6b8bf9ac62b44966fb05a239ec0b05738a4a869def682c91685436f206e5e29","observation_id":"9c36ae24-a589-4f48-a3d7-b78cc8eb7075","resolution":{"observed_at":"2026-08-10T17:26:12.996047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.977197Z","title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":"6ee90185-052c-42ee-82ea-44bf3b75ff55","year":2020},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.673582Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:fd00ca326e7b78f698cf9522ef5abbeba81a70486a138594b6a613643b99fde7","observation_id":"d3c8dab3-7942-4b50-9896-a2441cdae73d","resolution":{"observed_at":"2026-08-10T17:26:12.981579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.965218Z","title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":"15f80a39-b4df-4388-a061-52c61712d953","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.677004Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:7bac576bf89ebad25e037abbec9b2f928b7e09d3a52bdaf297d868d7c12ff273","observation_id":"6cfe000f-4db2-437f-b3f6-6caf4a16f5df","resolution":{"observed_at":"2026-08-10T17:26:12.969644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.952871Z","title":"Findings of the Association for Computational Linguistics: ACL 2023 , pages=","venue":null,"work_id":"157c39bd-72cc-48ac-8a42-082dde644a7b","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.680634Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:9334225324700cf377cd215d7ff15fdaa02fc9495b3da4457bd1d0b6d020ed2f","observation_id":"f3ac8587-aa1b-4080-a022-a10195ad9ae6","resolution":{"observed_at":"2026-08-10T17:26:12.957067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.940878Z","title":"2025 , address=","venue":null,"work_id":"760e95e6-1c89-448a-8250-775254daf728","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.684890Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:8ab2a388a74ee1526a8867e6b5e2ddabfd4fd96e867b7ea2fc0a2fa508d0db7f","observation_id":"c30a6537-63fd-45e5-876a-433c95725e4f","resolution":{"observed_at":"2026-08-10T17:26:12.944789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.929186Z","title":"2025 , eprint=","venue":null,"work_id":"024af69a-d1cc-4b21-bf37-417e0688d649","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.688517Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:e5450f5d96977ddf7ba84a3855a3683dcbce0930082dbfcd4fb1e0dcd8462e47","observation_id":"609421b7-c284-47ce-b064-67403a35355e","resolution":{"observed_at":"2026-08-10T17:26:12.933523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.917136Z","title":"2026 , eprint=","venue":null,"work_id":"50488671-a7ba-4893-97a4-c899781224d8","year":2026},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.692190Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:95d4d59bcbdc8fbb4ab18c7cc7c152a655f61bee30e7fe994d4e05327ee979c2","observation_id":"d903e2b6-b610-41d6-a05e-bafa2589746b","resolution":{"observed_at":"2026-08-10T17:26:12.921173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.904643Z","title":"Proceedings of the First Workshop on Large Language Model Memorization (L2M2) , pages=","venue":null,"work_id":"cf6c1bdc-822b-402c-9bba-03dfc9afe33f","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.695891Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:51fff91bee5e3e884dd23774be6c45148a931aa9634e431000c5672379957114","observation_id":"a7ec1f13-22af-4e95-8d85-7bbbb3b7164c","resolution":{"observed_at":"2026-08-10T17:26:12.909102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.890217Z","title":"Training","venue":null,"work_id":"5c76105b-b004-45b0-8e46-22ca291058f8","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.699748Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:ba8faaa28f33236a9c80a7a1b8cbebd6f21e6872ba6a344afff4a09b839be0d0","observation_id":"66a32cd7-29d8-4508-97d4-814d36ae4349","resolution":{"observed_at":"2026-08-10T17:26:12.894345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.878321Z","title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":"871a13df-1255-42e1-8504-de465619b206","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.703749Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:eb3e78c1a56f84a915c4441c0b1c9823f6176ddd60069bb317eba1f1f2f7a3b3","observation_id":"f9e05479-c3ac-4b9e-b8dc-c826dda9c493","resolution":{"observed_at":"2026-08-10T17:26:12.882307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.866730Z","title":"2024 , eprint=","venue":null,"work_id":"6e99d833-de56-4380-b1ee-a9bc6d385b6e","year":2024},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.708512Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:1443152d700e2dc73317fdeb31566d07675054b0a962e14f156efd5a682915d2","observation_id":"b0ad1d23-64de-4637-bcb1-3d146cf6e6c8","resolution":{"observed_at":"2026-08-10T17:26:12.870256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.854928Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":"00a7ad06-d555-4808-8715-83a7d48a4120","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.712789Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:ab451fe3149439f719ccf70118ad609dc6db0553c16da8e392a4257f2b52f09b","observation_id":"16135dec-6647-4216-ae5e-a9f618e1a9d2","resolution":{"observed_at":"2026-08-10T17:26:12.858835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13792","last_updated":"2024-12-09T06:07:03Z","snapshot_observed_at":"2026-08-18T11:15:05.407687Z","submitted_at":"2024-05-22T16:15:17Z","title":"xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13792","snapshot_observed_at":"2026-08-10T17:26:11.717175Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.717175Z"},"links":{"cited_paper":"/paper/2405.13792","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:28c9e6253c60819399e7643d5cec0f2521f2012226664497d9fa5caf77eef250","observation_id":"ba16f95c-9db8-42b1-af5e-a45d3db61009","resolution":{"observed_at":"2026-08-10T17:26:11.717175Z","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":"2026-08-10T17:26:12.841321Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":"673eb85b-1a3e-4e66-8716-674fa4cebe4b","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.724668Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:e700f935091c3c409d480c051bdb9b9f6dd4cf5961f0f0e75d7543eac5e4abc9","observation_id":"66884b74-5c5b-4a5d-bf49-d0bb536dfee7","resolution":{"observed_at":"2026-08-10T17:26:12.846701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.827994Z","title":"2023 , eprint=","venue":null,"work_id":"00d43275-2678-4214-abbd-516e853b834f","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.729834Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:ae17606fac65592c5d3f0d448338b4222e500afcd22cd3e2221f819c08d38eec","observation_id":"cd5f9abd-40ee-44d2-8356-853af701fe9b","resolution":{"observed_at":"2026-08-10T17:26:12.832405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15841","last_updated":"2025-07-17T08:53:48Z","snapshot_observed_at":"2026-08-13T07:45:46.918603Z","submitted_at":"2025-06-18T19:44:46Z","title":"MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.15841","snapshot_observed_at":"2026-08-10T17:26:11.735151Z","title":"2506.15841 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.735151Z"},"links":{"cited_paper":"/paper/2506.15841","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:09212de5909db20d941732df8a03f3eafdeeee2a00bbd748fcddd8c69ec1899f","observation_id":"2826901a-c46f-4c4c-a848-e2324f2b8bcd","resolution":{"observed_at":"2026-08-10T17:26:11.735151Z","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":"2026-08-10T17:26:11.739757Z","title":"2509.24704 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.739757Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:a2bc2a4fc440af9d47ace615033489591beaa3f85f5076642d1200fbc74373de","observation_id":"4fdd20af-b46f-4f7c-aa4b-2490d0434b51","resolution":{"observed_at":"2026-08-10T17:26:11.739757Z","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":"2026-08-10T17:26:12.815694Z","title":"2026 , eprint=","venue":null,"work_id":"0fbdeb5b-8648-491c-a613-d222b6a26ca5","year":2026},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.744157Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:ee0905189df8bc2fe9c6821baa6e58eff7145410a242f0186bb4b086584d1b35","observation_id":"ed38b128-f319-4acc-9d8f-363c10505e3c","resolution":{"observed_at":"2026-08-10T17:26:12.819860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.802552Z","title":"2023 , address=","venue":null,"work_id":"983da7a2-44ad-45b5-88f2-22a4700019c3","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.748417Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:0ff04d41094cc66ebb626bda013c30d90bb61ecf424ae8dd7ad818a0c765972a","observation_id":"7f38d49f-5725-4321-82af-599e51f73c8d","resolution":{"observed_at":"2026-08-10T17:26:12.806775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.789420Z","title":"Findings of the Association for Computational Linguistics: ACL 2024 , pages=","venue":null,"work_id":"76ebd01b-4e40-457e-84d8-9d410e268550","year":2024},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.754838Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:f0f9c59774982f12c2ec715a6e578a526055e7dada40464291097c87bdecc0ea","observation_id":"0994c461-38ba-44a3-bafe-42d328486982","resolution":{"observed_at":"2026-08-10T17:26:12.793764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.776560Z","title":"2025 , eprint=","venue":null,"work_id":"9502e909-2dc0-47a8-8c0d-139d9d121a65","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.759624Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:dde8d9e3b896ef333687b8665a4998d6e9eff0cc5bab8a26cae0a93b98054e65","observation_id":"03308778-b5d2-4b33-ab7d-86e2c2751cef","resolution":{"observed_at":"2026-08-10T17:26:12.781211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05961","last_updated":"2024-08-21T22:46:05Z","snapshot_observed_at":"2026-08-20T00:24:39.214064Z","submitted_at":"2024-04-09T02:51:05Z","title":"LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05961","snapshot_observed_at":"2026-08-10T17:26:11.764483Z","title":"2404.05961 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.764483Z"},"links":{"cited_paper":"/paper/2404.05961","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:bca6d2050c32135b667a16882f6b1e3146959cc19a62a9079cd30a02613f7a14","observation_id":"81450917-1643-4620-9c26-7ed8a7763726","resolution":{"observed_at":"2026-08-10T17:26:11.764483Z","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":"2026-08-10T17:26:11.769038Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.769038Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:b5fd07371b3f7c5ef8e90fb66237632408ed77c48d081d89b44f500e5dbfad1a","observation_id":"2bff9aef-661a-4f59-a739-bb04839d09e0","resolution":{"observed_at":"2026-08-10T17:26:11.769038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17428","last_updated":"2025-02-25T00:35:18Z","snapshot_observed_at":"2026-08-19T08:30:32.631359Z","submitted_at":"2024-05-27T17:59:45Z","title":"NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17428","snapshot_observed_at":"2026-08-10T17:26:11.773084Z","title":"2405.17428 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.773084Z"},"links":{"cited_paper":"/paper/2405.17428","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:70165685478abece0d7ccb56c25b2564337653e99ee17490dadb26fb6ebd9c93","observation_id":"df769c9a-1ced-4d63-970b-3e382c1630a6","resolution":{"observed_at":"2026-08-10T17:26:11.773084Z","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":"2026-08-10T17:26:12.756378Z","title":"2026 , eprint=","venue":null,"work_id":"d49b87a5-16fb-4a82-8df2-29646dfef76d","year":2026},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.777338Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:2abc88894c3c0a5542c77fd9c5e8316b908ff6004a84db033431dcb5773730a2","observation_id":"affff6c1-e348-46b9-81c2-e4cff0d294ec","resolution":{"observed_at":"2026-08-10T17:26:12.761181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.743822Z","title":"2024 , eprint=","venue":null,"work_id":"0eff3d10-ace6-46d8-b0cb-b06ac5ab2757","year":2024},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.782025Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:14928318682f5576c582de5f97862e8f5eeb958294025aafd948f6f9aab1e1c2","observation_id":"fabe7f36-f330-4887-b6b4-24d5a6ccbc7d","resolution":{"observed_at":"2026-08-10T17:26:12.748166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.730431Z","title":"Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=","venue":null,"work_id":"5e171512-e788-4e0e-a065-343295d0bed2","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.786546Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:84a2b7ca208a835998bcd776a04b147bb79474289b4b84d71c1a440b6c62a6b4","observation_id":"4143face-03f4-4deb-ab87-f5c588fc523f","resolution":{"observed_at":"2026-08-10T17:26:12.734981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.716364Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":"98552491-16cc-454d-b0b7-529d309784ed","year":2022},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.791380Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:522bcda77a1809bbf6041d1f6ffe4d96ac5b5a8c4023ba2602f7c80367945ec6","observation_id":"234d1c92-518f-4fd0-bf63-d59946a5e0df","resolution":{"observed_at":"2026-08-10T17:26:12.720461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.00020","last_updated":"2021-02-26T19:04:58Z","snapshot_observed_at":"2026-07-06T10:45:03.059688Z","submitted_at":"2021-02-26T19:04:58Z","title":"Learning Transferable Visual Models From Natural Language Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.00020","snapshot_observed_at":"2026-08-10T17:26:11.795985Z","title":"Proceedings of the 38th International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.795985Z"},"links":{"cited_paper":"/paper/2103.00020","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:1f551b5c703e6005d0263a8bfe1294d83de307bc2bbb197cfd6baf79f171e951","observation_id":"137c5645-4e00-44df-9f29-f9b8e9f3561f","resolution":{"observed_at":"2026-08-10T17:26:11.795985Z","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":"2026-08-10T17:26:12.703569Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":"e2ed862f-a6aa-4fb1-ba0c-24be6ca4ab22","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.800784Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:8f6f480af5e5a6aab1f406e1c5479f7a743f81e5fa01fd4adbc40046693c31c8","observation_id":"978bdfed-1be3-48ab-a286-847bc487ad93","resolution":{"observed_at":"2026-08-10T17:26:12.707862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.689774Z","title":"2024 , url=","venue":null,"work_id":"88127b41-a06e-4999-afa4-34e90696bfc1","year":2024},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.805543Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:693d87e2f767c490aa23afd918b1a167e96052a7ee44dd73a591ee00f4ad7ba9","observation_id":"ceea000a-919c-46c3-ba87-4f7de30548a3","resolution":{"observed_at":"2026-08-10T17:26:12.694694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.676519Z","title":null,"venue":null,"work_id":"55af6a12-dc35-4be6-8d9e-d0238b7e3fa6","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.811097Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:b9fc84e08a4580ef6e115fc161680901a8c1a930881099f694ca6199ac0ce633","observation_id":"6f170ba0-74ba-4f7a-a9c9-69ff0b17cfa5","resolution":{"observed_at":"2026-08-10T17:26:12.680859Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.665145Z","title":"Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=","venue":null,"work_id":"ed32af89-b807-469d-8cc1-378630299aae","year":2022},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.815596Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:63639e3259118a6427127fef7d59e145da3baf1541a838f8aa4dd0631e38842f","observation_id":"da33016a-e459-41a6-8b69-183fef5fead2","resolution":{"observed_at":"2026-08-10T17:26:12.669024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:11.820331Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.820331Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:74f4ab07ef2e037ec08d0afa82900e4cf256d80a9d6dd00171414cb5d2c567ef","observation_id":"5999e893-bb1b-42a9-8fb7-0041ae31177e","resolution":{"observed_at":"2026-08-10T17:26:11.820331Z","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":"2026-08-10T17:26:11.825107Z","title":"2025 , url=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.825107Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:306d0c1a8de9eba49f385586a964c6afbd0f755e7c0ae0db96ba7f033166aab6","observation_id":"059494a7-0ff3-476f-aaee-ec2f4f7c2b27","resolution":{"observed_at":"2026-08-10T17:26:11.825107Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-10T17:26:12.637220Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":"5828c688-3f2a-43ed-a5f7-220c73f35fd3","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.829396Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:7357e438811195f3ee51be528cbe67db496e520ab2aa51b78ff0ff1db7a90347","observation_id":"61b58fa3-f014-4f11-bf77-f711ab6a691e","resolution":{"observed_at":"2026-08-10T17:26:12.641433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13394","last_updated":"2025-10-24T02:45:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-23T09:22:36Z","title":"MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13394","snapshot_observed_at":"2026-08-10T17:26:11.833434Z","title":"2306.13394 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.833434Z"},"links":{"cited_paper":"/paper/2306.13394","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:d4297e607c1302cb3ae46083536045df08d8b803dc2b33590da15d0898ca1ba3","observation_id":"735a8cf2-57f3-4e9c-a3f0-108c3b5287e1","resolution":{"observed_at":"2026-08-10T17:26:11.833434Z","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":"2026-08-10T17:26:12.625567Z","title":null,"venue":null,"work_id":"3c36b0b1-6fb1-423a-9334-1ecedb83d45f","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.837301Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:c8bac80114a57b5daea439497b02b07ab18e0e53b895796ceea5dbc56744683e","observation_id":"f34c628c-af02-435c-a0e3-ba64a62f7f5f","resolution":{"observed_at":"2026-08-10T17:26:12.629311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:11.841114Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.841114Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:a0debd72dc79778f19760e80f12d5fe921051c5ac2d6ea607b9d71098ce69549","observation_id":"79e3672e-ba22-492f-9cc2-e65722866235","resolution":{"observed_at":"2026-08-10T17:26:11.841114Z","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":"2026-08-10T17:26:12.606308Z","title":null,"venue":null,"work_id":"52f32f65-d8fe-4650-8ef7-0e44588dbb22","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.845078Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:307192d48aa65aabedf1ca9049196d1a72130e491d201042908f51b3497d4bd8","observation_id":"6dd0eda9-5e0e-4681-bfdd-4649f5e87b23","resolution":{"observed_at":"2026-08-10T17:26:12.610238Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.593585Z","title":"2022 , address=","venue":null,"work_id":"af85346b-e8bb-466b-8299-6e9d6f1d8d0d","year":2022},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.848396Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:9c6437f8b228463a640b6b77c36bf41e046a1f45652a9073f2cf2b3f5205e6b9","observation_id":"106c122e-551d-4572-ba7d-4f1e56cd096e","resolution":{"observed_at":"2026-08-10T17:26:12.597736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:11.851836Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.851836Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:7b44c22aed8a8b974bfb17ba8acca4234f476900e71c55198e02ec8bdc41142e","observation_id":"877c1200-1088-404c-8e25-59c51994a809","resolution":{"observed_at":"2026-08-10T17:26:11.851836Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-10T17:26:12.571770Z","title":"2025 , address=","venue":null,"work_id":"e1736a92-e69b-4ed7-93c4-4240e7397a81","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.855167Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:8d48007a574db566cb9f1c7f7d005d8e7b7d3702d00dfa56048a80ee07efa0e2","observation_id":"6edebeb6-960f-4a1d-8278-055105ddce6c","resolution":{"observed_at":"2026-08-10T17:26:12.576176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.558444Z","title":"2002 , address=","venue":null,"work_id":"d4f91c69-5184-4949-b12e-c6be63c7bf02","year":2002},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.859175Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:76d075dc31565fbef9a96b544dd6e2f6fc1216bc871e2b5a3dd8a0933963fc50","observation_id":"b00c98df-2240-4acb-9f83-0752b7689a61","resolution":{"observed_at":"2026-08-10T17:26:12.563064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.546383Z","title":"Lawrence and Parikh, Devi , booktitle=","venue":null,"work_id":"c1ad789f-d7c3-4a04-b730-5ed5f49d2f29","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.862705Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:a2815ec2aac830d88d6e830c9b4569713d8c960ccdaf6f50eec2b64e29f42c8d","observation_id":"c5fcfc5b-3fda-4b07-95a9-9c13ba348f95","resolution":{"observed_at":"2026-08-10T17:26:12.550709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.532569Z","title":"Microsoft","venue":null,"work_id":"14862745-1e31-4e76-87d9-9d86f1d1743f","year":2015},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.866259Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:494dc30370a9d5a7bc46a4423a5837d2c4c20de0ea5d305e959139430af31445","observation_id":"49521f3e-89e4-405b-84a6-d3e1d6d71b29","resolution":{"observed_at":"2026-08-10T17:26:12.537867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.518509Z","title":"Proceedings of the Sixth Workshop on Statistical Machine Translation , pages=","venue":null,"work_id":"5888b653-6cca-4826-83fb-bab27f69339e","year":2011},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.870187Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:fe347aa6c8506ea499f00a3d7d72a545a8269c40eb62726f6620b3e08c4e4654","observation_id":"978fc593-a293-462e-a8ed-41e1336d453c","resolution":{"observed_at":"2026-08-10T17:26:12.523179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:11.875039Z","title":"2004 , address=","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.875039Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:f4fe1c41a3e83b67622260467dc278e4d61c4a083daa254a278112658a94768b","observation_id":"929a9e97-e7d0-4d3d-b1c6-270ebc044393","resolution":{"observed_at":"2026-08-10T17:26:11.875039Z","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":"2026-08-10T17:26:12.497157Z","title":"Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=","venue":null,"work_id":"99b7d0c9-953c-486a-95d0-51768e8d8417","year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.880054Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:420664aa9029f65e3cce2c105a12d423483adce9c09994e85f93f0461deafc88","observation_id":"185aae7f-be0f-4726-960d-7da0107e1e6e","resolution":{"observed_at":"2026-08-10T17:26:12.501617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03032","last_updated":"2023-03-06T11:02:47Z","snapshot_observed_at":"2026-08-16T15:50:32.073431Z","submitted_at":"2023-03-06T11:02:47Z","title":"DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.03032","snapshot_observed_at":"2026-08-10T17:26:11.883749Z","title":"2023 , url=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.883749Z"},"links":{"cited_paper":"/paper/2303.03032","citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:65b66c8f1561b74b457b0514684902f7e1301fe5c711f5b5dd0b7c4305db3e46","observation_id":"de6dcdb4-4bb6-4e7d-a7c0-1c0228e18b38","resolution":{"observed_at":"2026-08-10T17:26:11.883749Z","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":"2026-08-10T17:26:12.482761Z","title":"Implicit Inversion turns","venue":null,"work_id":"4595ec89-efa5-4f8f-941d-8b5a69a37495","year":2025},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.888041Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:5bc2227e8c22d9f892e814697f5950a2ff4b72da0e6feeb8ad8ebc4237e6176a","observation_id":"23c01663-730c-4f84-901e-25dcf7df9ed9","resolution":{"observed_at":"2026-08-10T17:26:12.488128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:11.892259Z","title":"Proceedings of the 37th Annual Allerton Conference on Communication, Control, and Computing , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.892259Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:f3a8a95efeb644319487dd0c38e03f9272ff4bc6cbc88831294799fb4e77d660","observation_id":"40e85c06-1a8c-4b62-aa53-4485b6b4ebca","resolution":{"observed_at":"2026-08-10T17:26:11.892259Z","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":"2026-08-10T17:26:12.462464Z","title":null,"venue":null,"work_id":"6583ac53-45dc-48ba-88d1-60364a9a7fa2","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.897281Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:7e71945c6e698c6e53de8a529677a75960a8c3fd6b117f01ec33c0fefb6b32ef","observation_id":"54d82c16-9aa3-41b1-ab42-830c78f7a030","resolution":{"observed_at":"2026-08-10T17:26:12.466716Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:11.902242Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.902242Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:a64cc159ca0c8a0bfe12bfc16b6f18edfc7414f7f0131c6982989d9da93cbab6","observation_id":"acfe559d-d714-4ffa-ba50-b1f8b2d2e4af","resolution":{"observed_at":"2026-08-10T17:26:11.902242Z","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":"2026-08-10T17:26:12.439934Z","title":", journal=","venue":null,"work_id":"d392ea26-afa4-4e1e-a392-6dbcc06bb378","year":null},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.906255Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:871367e1d8c252180896955eb63902050053f4a51d6308a7315d8acab0d440c1","observation_id":"fbfd33d4-60bf-425f-9738-8f7d67c90582","resolution":{"observed_at":"2026-08-10T17:26:12.444222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T17:26:12.423878Z","title":"Text-Only Training for Image Captioning using Noise-Injected","venue":null,"work_id":"46210d72-59d1-4738-bce1-9f96e825aa17","year":2022},"citing_paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-10T17:26:11.910714Z"},"links":{"citing_paper":"/paper/2608.06972"},"observation_digest":"sha256:214523c72bccd19d7da82749487371419553f14530f973033e4739948436902f","observation_id":"360ab4e9-2cef-4673-9bf0-e96ca78c0626","resolution":{"observed_at":"2026-08-10T17:26:12.430218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.06972","last_updated":"2026-08-07T08:46:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T14:26:04.794792Z","submitted_at":"2026-08-07T08:46:16Z","title":"Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":2,"unresolved":29,"verified_exact":0,"verified_fuzzy":42},"total_outbound_references":73},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2608.06972."}