{"as_of":"2026-08-08T09:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:74f8e2f23c35367b832d4bef840e3060ee9ac9f8d633a0e99e19ed6f7044971b","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:41.561351Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-19T06:31:37.201344Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-19T06:32:07.564911Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"cited_work":{"arxiv_id":"2505.24782","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24782","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Context is gold to find the gold passage: Evaluating and training contextual document embeddings","venue":null,"work_id":"99f0c3da-9851-4b52-a5e2-74be1f2b6a69","year":2025},"citing_paper":{"arxiv_id":"2507.00994","last_updated":"2026-05-05T08:00:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-01T17:45:48Z","title":"Should We Still Pretrain Encoders with Masked Language Modeling?","version":4},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-19T06:31:37.201344Z"},"links":{"cited_paper":"/paper/2505.24782","citing_paper":"/paper/2507.00994"},"observation_digest":"sha256:7cec215e115a33de52b507c1c4859e2ce147abfc389e1dfad8adee716946eac7","observation_id":"6bd3fa9f-96a3-4298-b9ad-2218d14e9d8d","resolution":{"observed_at":"2026-05-19T06:32:07.568043Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"cited_work":{"arxiv_id":"2505.24782","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24782","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Context is gold to find the gold passage: Evaluating and training contextual document embeddings","venue":null,"work_id":"99f0c3da-9851-4b52-a5e2-74be1f2b6a69","year":2025},"citing_paper":{"arxiv_id":"2604.10167","last_updated":"2026-04-11T11:31:11Z","snapshot_observed_at":"2026-07-06T22:58:51.931478Z","submitted_at":"2026-04-11T11:31:11Z","title":"Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T15:26:44.498777Z"},"links":{"cited_paper":"/paper/2505.24782","citing_paper":"/paper/2604.10167"},"observation_digest":"sha256:59e2e51bacf8f71b2bd189d67507df783cd3720eb49cdf59df2077f2ff1ecf0a","observation_id":"951eee55-96e3-4a73-9b98-e9c3615384da","resolution":{"observed_at":"2026-05-11T10:31:04.450710Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.24782/citation-record","integrity":"/paper/2505.24782/integrity","json":"/paper/2505.24782/citation-record.json","paper":"/paper/2505.24782"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:35.090979Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.090979Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:e5dc693a85ce038856b58fed1cffa622ce4bb535c41b5ace251137edbf05bff0","observation_id":"6e0125e6-fdfa-4e68-b16f-94020effc594","resolution":{"observed_at":"2026-08-07T12:35:35.090979Z","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":"2026-08-07T12:35:35.259050Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.259050Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:d1bcd80067ddf7ddd46966477054ae7c29a05e7866b2978e9af76b028b832c2e","observation_id":"45e6eb54-bdbf-46a3-8095-8e1544bf0f8e","resolution":{"observed_at":"2026-08-07T12:35:35.259050Z","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":"2026-08-07T12:35:43.711541Z","title":null,"venue":null,"work_id":"0974d0f4-b7ba-4005-a581-bbc7e1510393","year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.409282Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:bb55c748a30a5c1a5fa6c96aa41dc5730a6d8c7d8493e605afc3db505daac03d","observation_id":"0b539695-fa96-4546-a766-f6a4b6143483","resolution":{"observed_at":"2026-08-07T12:35:43.794170Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:43.521880Z","title":null,"venue":null,"work_id":"2882bf4b-d5d5-409b-b421-0738d7362ea9","year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.569173Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:0a8c19cb07f2978af51cda5e9b753318216e96367d814e57c98a242b293a9c7f","observation_id":"933443f1-96d4-40e7-a535-bfe8a36284f3","resolution":{"observed_at":"2026-08-07T12:35:43.587233Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11511","last_updated":"2023-10-17T18:18:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-17T18:18:32Z","title":"Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11511","snapshot_observed_at":"2026-08-07T12:35:35.831907Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.831907Z"},"links":{"cited_paper":"/paper/2310.11511","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:2b631664480577f619f6b50fdd207c8b38ba8ae9ab4496b75e183a8e925c0f14","observation_id":"48ad719a-41ae-4183-940b-6b06b6bcec88","resolution":{"observed_at":"2026-08-07T12:35:35.831907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05500","last_updated":"2026-06-01T09:22:31Z","snapshot_observed_at":"2026-08-07T17:21:54.080497Z","submitted_at":"2025-03-07T15:13:58Z","title":"EuroBERT: Scaling Multilingual Encoders for European Languages","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05500","snapshot_observed_at":"2026-08-07T12:35:35.991876Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.991876Z"},"links":{"cited_paper":"/paper/2503.05500","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:dcd2bd00d91670633eee7cd72707987f0f8b1f9abc2564bb635e17f5470f41f3","observation_id":"0cbe95c5-4a0d-4823-83be-f70f04488fa1","resolution":{"observed_at":"2026-08-07T12:35:35.991876Z","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":"2026-08-07T12:35:43.364309Z","title":null,"venue":null,"work_id":"4e93d1f1-e147-4b89-bdb2-caff23e16ee1","year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.204555Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:9b7f3f40b205facf0dac79a3d61b95bfacc313e26b74896c47154ccd7a200d76","observation_id":"878a4fa3-cb1e-4189-b9e1-2f6b4b5f1779","resolution":{"observed_at":"2026-08-07T12:35:43.432768Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:43.165537Z","title":null,"venue":null,"work_id":"5eb8fe1c-1cd5-47d9-99cf-35b29df3f36c","year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.351585Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:bb233e40e5786f0675ed47e4d441ed56e119bd1da3ea9f0596b6442c3d15256e","observation_id":"6d7922ce-524f-4a90-a3c6-8ba7177cbdd1","resolution":{"observed_at":"2026-08-07T12:35:43.244482Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:36.417209Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.417209Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:dbb9d9a87a5312ea6cb2fb6c10dfacdb2ce8245aba17b7a4a0eccd496cb7d43b","observation_id":"6dd4677b-02d6-49cf-b549-1bb599c4948f","resolution":{"observed_at":"2026-08-07T12:35:36.417209Z","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":"2026-08-07T12:35:36.557147Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.557147Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:b9b532f93cde56f4c251324c609a82b0b686759b482a2684d0da1da66ada7e25","observation_id":"3787ed86-7be8-4500-af1c-48f381d8dcd4","resolution":{"observed_at":"2026-08-07T12:35:36.557147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03216","last_updated":"2025-12-12T11:26:32Z","snapshot_observed_at":"2026-07-06T17:25:35.493362Z","submitted_at":"2024-02-05T17:26:49Z","title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03216","snapshot_observed_at":"2026-08-07T12:35:36.636972Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.636972Z"},"links":{"cited_paper":"/paper/2402.03216","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:000fb20a100594193e839957aebee66444ad760226f0317922c42875d8916ba0","observation_id":"bd97c605-210b-4735-9b55-f094265c0ea1","resolution":{"observed_at":"2026-08-07T12:35:36.636972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-07-06T18:05:11.700127Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-08-07T12:35:36.737456Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.737456Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:3d75163c8e61e67b8af37c1599bf09810fa393fea8c2ccc43e38d01117b1fbaa","observation_id":"db539bec-880a-4ff5-811e-cb9fb0e5de00","resolution":{"observed_at":"2026-08-07T12:35:36.737456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01449","last_updated":"2025-02-28T08:51:57Z","snapshot_observed_at":"2026-07-06T18:39:43.472708Z","submitted_at":"2024-06-27T15:45:29Z","title":"ColPali: Efficient Document Retrieval with Vision Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01449","snapshot_observed_at":"2026-08-07T12:35:36.862401Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.862401Z"},"links":{"cited_paper":"/paper/2407.01449","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:f8d0c6cc103caa33cf55955bbabeedc9ca38a0cef4019821b35ea090d97de489","observation_id":"46cbeff5-fb80-4fa5-a926-92b0e5707d0a","resolution":{"observed_at":"2026-08-07T12:35:36.862401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-07-06T17:41:42.995949Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-07T12:35:36.956843Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.956843Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:7580c9a46675332107c960bb311c27104da71f8e4bc15e672d006110bb6cf142","observation_id":"9162ed4e-03f1-444f-b11e-7b1123c872ba","resolution":{"observed_at":"2026-08-07T12:35:36.956843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12997","last_updated":"2024-09-25T14:37:39Z","snapshot_observed_at":"2026-07-06T17:32:52.500465Z","submitted_at":"2024-02-20T13:25:16Z","title":"Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism","version":5},"cited_work":{"arxiv_id":"2402.12997","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.12997","snapshot_observed_at":"2026-08-07T12:35:42.431488Z","title":"Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism","venue":"cs.IR","work_id":"e5483d89-75c8-4535-a152-b7faa4f0cf6a","year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.055205Z"},"links":{"cited_paper":"/paper/2402.12997","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:9b5fd7efe49550454f6323f885dbd08bdae070a5376010c25ad93f7197e8adb4","observation_id":"a9546f77-4c23-418a-aa52-c3c0309dff17","resolution":{"observed_at":"2026-08-07T12:35:42.551776Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.04701","last_updated":"2025-07-07T17:49:51Z","snapshot_observed_at":"2026-08-08T08:39:08.267633Z","submitted_at":"2024-09-07T03:54:46Z","title":"Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.04701","snapshot_observed_at":"2026-08-07T12:35:37.173417Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.173417Z"},"links":{"cited_paper":"/paper/2409.04701","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:6c9a9e80fabf29dc5b0a7ea1298ce2d7ae9dc03c0a502d510222a01c18e1716e","observation_id":"5bae5789-f7e9-4879-ad2f-7be9bb0ecaac","resolution":{"observed_at":"2026-08-07T12:35:37.173417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.09118","last_updated":"2022-08-29T12:17:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-12-16T18:57:37Z","title":"Unsupervised Dense Information Retrieval with Contrastive Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.09118","snapshot_observed_at":"2026-08-07T12:35:37.236285Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.236285Z"},"links":{"cited_paper":"/paper/2112.09118","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:d2eec9b5251db8b087f6c4b6b19130f1f85ec14c2c3f753790d3f9765a8f3b6b","observation_id":"d4c5345e-9fa8-48de-8852-286ae79d6512","resolution":{"observed_at":"2026-08-07T12:35:37.236285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15319","last_updated":"2024-09-01T17:21:18Z","snapshot_observed_at":"2026-08-06T21:07:15.533962Z","submitted_at":"2024-06-21T17:23:21Z","title":"LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15319","snapshot_observed_at":"2026-08-07T12:35:37.310372Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.310372Z"},"links":{"cited_paper":"/paper/2406.15319","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:b14280e8c9b9c681024135bd948db8772c45a7db85be942e230122dd7ef43de4","observation_id":"e640e5d4-b9fe-4f74-896e-2ea002dd0792","resolution":{"observed_at":"2026-08-07T12:35:37.310372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.04906","last_updated":"2020-09-30T21:27:13Z","snapshot_observed_at":"2026-07-06T09:11:26.109763Z","submitted_at":"2020-04-10T04:53:17Z","title":"Dense Passage Retrieval for Open-Domain Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.04906","snapshot_observed_at":"2026-08-07T12:35:37.411316Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.411316Z"},"links":{"cited_paper":"/paper/2004.04906","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:023536401308428a6b32495c7a57cebdcc950798aee8b6d0ea0f144109cdb02b","observation_id":"aae5b47c-7a72-46e4-ae37-84362ffaadb7","resolution":{"observed_at":"2026-08-07T12:35:37.411316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.12832","last_updated":"2020-06-04T05:28:21Z","snapshot_observed_at":"2026-08-04T09:38:32.896372Z","submitted_at":"2020-04-27T14:21:03Z","title":"ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.12832","snapshot_observed_at":"2026-08-07T12:35:37.501961Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.501961Z"},"links":{"cited_paper":"/paper/2004.12832","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:fe66c7cebd33a7428fffbfdbcf4bcbc839914908c8257503b048ba577fab24e9","observation_id":"b9132ddf-7f39-4c42-94ef-7e412db3e276","resolution":{"observed_at":"2026-08-07T12:35:37.501961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.07040","last_updated":"2017-12-19T16:48:05Z","snapshot_observed_at":"2026-07-31T01:20:29.856066Z","submitted_at":"2017-12-19T16:48:05Z","title":"The NarrativeQA Reading Comprehension Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.07040","snapshot_observed_at":"2026-08-07T12:35:37.597515Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.597515Z"},"links":{"cited_paper":"/paper/1712.07040","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:761c88b20fa4eae55a56e7d5d8677bb44a473787e11cf57bc6b8e8beed7fc6f8","observation_id":"abb1e945-06d6-40d0-b7b6-8fbaaaab7dda","resolution":{"observed_at":"2026-08-07T12:35:37.597515Z","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":"2026-07-06T02:11:23.670680Z","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":"2026-08-07T12:35:37.669424Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.669424Z"},"links":{"cited_paper":"/paper/2405.17428","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:988aecabf3d3ac5a785d1a5b84f2f7fd9e3cb534ef76654fd80b326f22f57ccc","observation_id":"35fd1d5d-8c7d-402f-a043-d20bd569ade8","resolution":{"observed_at":"2026-08-07T12:35:37.669424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-07T12:35:37.755459Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.755459Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:25a4bef2f7abecf65324431f42d6bf914f9de8f05c4f34096e6f78898cb32526","observation_id":"0f04928c-6650-4bdb-a612-03e25b100a1f","resolution":{"observed_at":"2026-08-07T12:35:37.755459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03281","last_updated":"2023-08-07T03:52:59Z","snapshot_observed_at":"2026-08-04T23:10:23.964516Z","submitted_at":"2023-08-07T03:52:59Z","title":"Towards General Text Embeddings with Multi-stage Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03281","snapshot_observed_at":"2026-08-07T12:35:37.872311Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.872311Z"},"links":{"cited_paper":"/paper/2308.03281","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:fa56e3b6cb13045a4c84c06c78a841fe2145a1946ff9c2ad8ae24f7b6064fb71","observation_id":"3497bda0-3d56-4b3f-841f-71ba4561057c","resolution":{"observed_at":"2026-08-07T12:35:37.872311Z","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":"2026-08-07T12:35:37.974636Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.974636Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:9501cfa75f3c262bc694ad3a7a22e38105fdffecc2e9966dee2970b158319972","observation_id":"a327fc0d-c424-43b4-b994-3fddf6dc932b","resolution":{"observed_at":"2026-08-07T12:35:37.974636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11251","last_updated":"2024-12-02T13:26:14Z","snapshot_observed_at":"2026-08-05T00:28:25.127698Z","submitted_at":"2024-06-17T06:27:35Z","title":"Unifying Multimodal Retrieval via Document Screenshot Embedding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11251","snapshot_observed_at":"2026-08-07T12:35:38.087216Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.087216Z"},"links":{"cited_paper":"/paper/2406.11251","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:cc218d697caf9cdb8d851c78b72492166be90e3db8c43c78d8a9aa8e9ed81b2e","observation_id":"c9498298-07a1-4917-9acb-0a3c6fc677da","resolution":{"observed_at":"2026-08-07T12:35:38.087216Z","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":"2026-08-07T12:35:38.172619Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.172619Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:0500fd1caa647db6c748ba8fb86b08215d561ee2920a85d1b75a34ecf993dac3","observation_id":"8074480a-de70-4633-bfbc-9ab64e538542","resolution":{"observed_at":"2026-08-07T12:35:38.172619Z","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":"2026-08-07T12:35:42.935911Z","title":null,"venue":null,"work_id":"4b952554-7946-4c7f-bb1e-44ede291924d","year":2020},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.271369Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:62ae962e3252acd16a3869f720d281333f3bea1a21c6010850dbcbcef05882cb","observation_id":"251184c4-8b22-49dc-81d7-3194339f32c3","resolution":{"observed_at":"2026-08-07T12:35:43.031925Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02525","last_updated":"2024-11-08T16:26:22Z","snapshot_observed_at":"2026-07-06T19:27:03.209340Z","submitted_at":"2024-10-03T14:33:34Z","title":"Contextual Document Embeddings","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02525","snapshot_observed_at":"2026-08-07T12:35:38.362337Z","title":"Morris and Alexander M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.362337Z"},"links":{"cited_paper":"/paper/2410.02525","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:3b72ebdf99187e7219181689176dda9bc324c045075747bfc353423f64c6bb49","observation_id":"461054fd-392b-4fb1-bdd9-7285558d2165","resolution":{"observed_at":"2026-08-07T12:35:38.362337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07316","last_updated":"2023-03-19T13:37:01Z","snapshot_observed_at":"2026-07-06T14:04:58.943383Z","submitted_at":"2022-10-13T19:42:08Z","title":"MTEB: Massive Text Embedding Benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07316","snapshot_observed_at":"2026-08-07T12:35:38.435116Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.435116Z"},"links":{"cited_paper":"/paper/2210.07316","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:e27f8cccdb8e18edfd0c2969894affdc0932f868fc1540043ae0838075d5a486","observation_id":"c9830f65-2d6f-47ca-a927-afd4ab2bf914","resolution":{"observed_at":"2026-08-07T12:35:38.435116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.07899","last_updated":"2021-12-15T05:33:27Z","snapshot_observed_at":"2026-07-06T12:18:53.315820Z","submitted_at":"2021-12-15T05:33:27Z","title":"Large Dual Encoders Are Generalizable Retrievers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.07899","snapshot_observed_at":"2026-08-07T12:35:38.568382Z","title":"Zhao, Yi Luan, Keith B","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.568382Z"},"links":{"cited_paper":"/paper/2112.07899","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:4d4de27c99f057da0cd5aa486e292f567e5df2eabdea2d48f02dcce3905e9d7f","observation_id":"41a7b8d1-f28e-4264-8630-29a8c5495534","resolution":{"observed_at":"2026-08-07T12:35:38.568382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01613","last_updated":"2025-02-03T22:26:56Z","snapshot_observed_at":"2026-07-06T17:24:29.001170Z","submitted_at":"2024-02-02T18:23:18Z","title":"Nomic Embed: Training a Reproducible Long Context Text Embedder","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01613","snapshot_observed_at":"2026-08-07T12:35:38.750679Z","title":"Morris, Brandon Duderstadt, and Andriy Mulyar","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.750679Z"},"links":{"cited_paper":"/paper/2402.01613","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:6cde3ca6e6137414b15f8ef2697c556891463ad9e57b95d6b385200d0ebdf22f","observation_id":"6d46216c-ebb0-4f07-93c5-735c10480da5","resolution":{"observed_at":"2026-08-07T12:35:38.750679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-07T12:35:38.841556Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.841556Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:16e2464d4a6f4674ad940da4a479762e93d9ecfacfa163ac700d6ac600c1e9b3","observation_id":"aa2ddcac-9a64-47b2-ba25-0f590c1ae8a1","resolution":{"observed_at":"2026-08-07T12:35:38.841556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13213","snapshot_observed_at":"2026-08-07T12:35:38.942407Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.942407Z"},"links":{"cited_paper":"/paper/2406.13213","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:f4150f115f0abe709423098e5e2ba2d693a0acb1d6cb6abb7c0979e1d428891d","observation_id":"9bf29cc9-9e31-4c8d-b8e3-03d7d764118c","resolution":{"observed_at":"2026-08-07T12:35:38.942407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09760","last_updated":"2024-02-15T07:22:04Z","snapshot_observed_at":"2026-07-06T17:30:29.731830Z","submitted_at":"2024-02-15T07:22:04Z","title":"Grounding Language Model with Chunking-Free In-Context Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09760","snapshot_observed_at":"2026-08-07T12:35:39.013312Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.013312Z"},"links":{"cited_paper":"/paper/2402.09760","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:93b29c65a17f9484b985fef30a4c66348d807e3a7cf81a7b1917d316d3ede556","observation_id":"39466cfe-09cb-4a20-8f41-284d15d037c5","resolution":{"observed_at":"2026-08-07T12:35:39.013312Z","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":"2026-08-07T12:35:39.087282Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.087282Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:58dd52e4d8d979c70697b279a08f44b87a8a1d09f7a2fcafb2ac9f98daf7eb7c","observation_id":"0cee9502-6127-4fee-9aa4-03847cf047de","resolution":{"observed_at":"2026-08-07T12:35:39.087282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-07T12:35:39.164467Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.164467Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:d39eb9fe997cc0ed7111f10dc18b359c289889a613b1fd3633160b2852e5f99a","observation_id":"2f9eafcf-3e5c-4184-9450-e413823bfbcc","resolution":{"observed_at":"2026-08-07T12:35:39.164467Z","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":"2026-08-07T12:35:42.716099Z","title":"Robertson, Steve Walker, Susan Jones, Micheline Hancock-Beaulieu, and Mike Gatford","venue":null,"work_id":"cba35e40-1030-437d-8b4e-16dddcb14b68","year":1994},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.241732Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:f8cf0aee5fedcf567c76761385333c3a672e332453bc4847ef3dd04aed497435","observation_id":"13ff1823-3cde-41f9-b8c2-eec5a672f14b","resolution":{"observed_at":"2026-08-07T12:35:42.846289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07440","last_updated":"2024-11-18T01:52:49Z","snapshot_observed_at":"2026-07-06T17:28:43.842260Z","submitted_at":"2024-02-12T06:43:52Z","title":"Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07440","snapshot_observed_at":"2026-08-07T12:35:39.320076Z","title":"Fu, Simran Arora, Neel Guha, and Christopher Ré","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.320076Z"},"links":{"cited_paper":"/paper/2402.07440","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:7d310e290081d4c61a4707a4b4c706dd7a4829f95cf633b9c656792b689a3aae","observation_id":"3727f3be-0115-482f-9cd9-63c33c6ee6dd","resolution":{"observed_at":"2026-08-07T12:35:39.320076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.18059","last_updated":"2024-01-31T18:30:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-31T18:30:21Z","title":"RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.18059","snapshot_observed_at":"2026-08-07T12:35:39.417189Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.417189Z"},"links":{"cited_paper":"/paper/2401.18059","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:3f821030ba1926900fd479400668240a7ee191c5e7072694ffef5ba68ca64253","observation_id":"b97503f3-22e2-4991-8ed5-0b6d835db39c","resolution":{"observed_at":"2026-08-07T12:35:39.417189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.03832","last_updated":"2015-06-17T23:35:47Z","snapshot_observed_at":"2026-08-04T06:45:15.566952Z","submitted_at":"2015-03-12T18:10:53Z","title":"FaceNet: A Unified Embedding for Face Recognition and Clustering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.03832","snapshot_observed_at":"2026-08-07T12:35:39.494432Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.494432Z"},"links":{"cited_paper":"/paper/1503.03832","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:b2b8789b8368e332f8fdb95f0280b243d53900c608f8a0c4929ac98516e297a8","observation_id":"2dda3bf5-eaf2-46a5-a068-21c73f56e54f","resolution":{"observed_at":"2026-08-07T12:35:39.494432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13128","last_updated":"2025-06-13T00:25:54Z","snapshot_observed_at":"2026-08-07T16:01:22.022358Z","submitted_at":"2025-04-17T17:44:06Z","title":"FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents","version":2},"cited_work":{"arxiv_id":"2504.13128","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.13128","snapshot_observed_at":"2026-08-07T12:35:41.987869Z","title":"FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents","venue":"cs.IR","work_id":"c77f1dac-edbe-4022-831a-6bc186d66b2d","year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.602583Z"},"links":{"cited_paper":"/paper/2504.13128","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:1a48a8b22dd27ac165f9cf640cfa604e305248a4c6500da3fae9e501c1a61337","observation_id":"74b58663-305c-4305-aedd-d3b157c767df","resolution":{"observed_at":"2026-08-07T12:35:42.087570Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08663","last_updated":"2021-10-21T01:18:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-04-17T23:29:55Z","title":"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08663","snapshot_observed_at":"2026-08-07T12:35:39.686979Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.686979Z"},"links":{"cited_paper":"/paper/2104.08663","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:459a5bc36dc86d445bb8d21409d9f2dc3991d1f539efca2aef3aab12970c50ad","observation_id":"12980dec-912f-4cbe-acbf-579bf6250d4b","resolution":{"observed_at":"2026-08-07T12:35:39.686979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10509","last_updated":"2023-06-23T00:59:13Z","snapshot_observed_at":"2026-07-06T14:33:08.041820Z","submitted_at":"2022-12-20T18:26:34Z","title":"Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10509","snapshot_observed_at":"2026-08-07T12:35:39.783146Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.783146Z"},"links":{"cited_paper":"/paper/2212.10509","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:e1e40856b4ea3ed58296a44255b1760314fd4cf823659b0fa6dda07d85082f48","observation_id":"477dcfb1-2139-4930-bc2a-eba929bb92e6","resolution":{"observed_at":"2026-08-07T12:35:39.783146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17146","last_updated":"2025-02-28T10:53:12Z","snapshot_observed_at":"2026-08-02T18:59:33.544719Z","submitted_at":"2024-10-22T16:26:05Z","title":"LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17146","snapshot_observed_at":"2026-08-07T12:35:39.879972Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.879972Z"},"links":{"cited_paper":"/paper/2410.17146","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:83f3bb4a45bda02d63402ec1fbd7e7ec279b394db83e993252e974fcc0735c80","observation_id":"a6944cb1-85df-4405-82ff-c4ca880da7eb","resolution":{"observed_at":"2026-08-07T12:35:39.879972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.03533","last_updated":"2024-02-22T06:21:51Z","snapshot_observed_at":"2026-07-06T14:27:46.217000Z","submitted_at":"2022-12-07T09:25:54Z","title":"Text Embeddings by Weakly-Supervised Contrastive Pre-training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.03533","snapshot_observed_at":"2026-08-07T12:35:39.947606Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.947606Z"},"links":{"cited_paper":"/paper/2212.03533","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:9647d43de7a3cb336a05ff8208b195d132e7d2dd141998ad794a556ffa716403","observation_id":"9a341dee-c84b-4134-8fba-e5d267a6da4e","resolution":{"observed_at":"2026-08-07T12:35:39.947606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00368","last_updated":"2024-05-31T07:22:01Z","snapshot_observed_at":"2026-08-06T17:51:59.068535Z","submitted_at":"2023-12-31T02:13:18Z","title":"Improving Text Embeddings with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00368","snapshot_observed_at":"2026-08-07T12:35:40.097134Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.097134Z"},"links":{"cited_paper":"/paper/2401.00368","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:2377ea2bfab64214c78b9653df5b876b1ae025f709e2ff2400bfbaae25e23023","observation_id":"daede230-474e-4411-82d4-9d29a8a01e4a","resolution":{"observed_at":"2026-08-07T12:35:40.097134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13663","last_updated":"2024-12-19T06:32:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-18T09:39:44Z","title":"Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13663","snapshot_observed_at":"2026-08-07T12:35:40.425906Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.425906Z"},"links":{"cited_paper":"/paper/2412.13663","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:c2c31a9190174a0aa4c10c2a35ac086af4b23837d86a495c53f62fbd3900c206","observation_id":"0e69deab-fb11-46b0-b876-c18007b5be83","resolution":{"observed_at":"2026-08-07T12:35:40.425906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.12756","last_updated":"2021-02-19T22:15:03Z","snapshot_observed_at":"2026-08-08T07:45:46.022472Z","submitted_at":"2020-09-27T06:12:29Z","title":"Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.12756","snapshot_observed_at":"2026-08-07T12:35:40.557193Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.557193Z"},"links":{"cited_paper":"/paper/2009.12756","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:b94aec056fe9c3d498e975a3149596a1969558640a12d10cc9a7f035219e4205","observation_id":"8c5235dc-39e0-490d-b718-4d3546f5f625","resolution":{"observed_at":"2026-08-07T12:35:40.557193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03025","last_updated":"2024-01-23T07:49:13Z","snapshot_observed_at":"2026-08-06T04:59:02.070453Z","submitted_at":"2023-10-04T17:59:41Z","title":"Retrieval meets Long Context Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03025","snapshot_observed_at":"2026-08-07T12:35:40.744965Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.744965Z"},"links":{"cited_paper":"/paper/2310.03025","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:26da709fb924cb1d6ba25ae5e425c69c84f2e491f070b9a05a3732ed1c84fef8","observation_id":"32ecdd65-33a8-4424-9927-2ceaa5cd21da","resolution":{"observed_at":"2026-08-07T12:35:40.744965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15383","last_updated":"2025-01-26T03:47:25Z","snapshot_observed_at":"2026-07-31T01:49:29.562668Z","submitted_at":"2025-01-26T03:47:25Z","title":"Qwen2.5-1M Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15383","snapshot_observed_at":"2026-08-07T12:35:40.930281Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.930281Z"},"links":{"cited_paper":"/paper/2501.15383","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:2536f067e0894173816551091b82ceb9664232cb9bc017c4c9baf5778fbce3dc","observation_id":"eb2866fd-216e-4769-af7b-4f543dece219","resolution":{"observed_at":"2026-08-07T12:35:40.930281Z","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":"2026-08-07T12:35:41.083298Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.083298Z"},"links":{"citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:b490c92fe4a7b13ada9b0ae282a517af35fa9236cbe8ffdc266a74a992bc1626","observation_id":"74b5e41b-3903-4c2d-8ff0-63795698cfc3","resolution":{"observed_at":"2026-08-07T12:35:41.083298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00456","last_updated":"2025-01-26T06:52:41Z","snapshot_observed_at":"2026-07-06T18:23:48.473551Z","submitted_at":"2024-06-01T14:45:03Z","title":"Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00456","snapshot_observed_at":"2026-08-07T12:35:41.298206Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.298206Z"},"links":{"cited_paper":"/paper/2406.00456","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:dee864bfd520a7eed1e3143e9422036540d73315cbe52ef9ae21f53d13357f6e","observation_id":"3ba27247-7633-4a42-b260-9fe30bf18a82","resolution":{"observed_at":"2026-08-07T12:35:41.298206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05252","last_updated":"2025-02-07T17:05:25Z","snapshot_observed_at":"2026-08-05T22:39:45.894947Z","submitted_at":"2025-02-07T17:05:25Z","title":"GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05252","snapshot_observed_at":"2026-08-07T12:35:41.438347Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.438347Z"},"links":{"cited_paper":"/paper/2502.05252","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:a5ae2d2ae5d7c6cf1323abbff7d955cded2d1a17e972c4a2b39b6118e1a7d1ab","observation_id":"bfdbaa7f-bb57-45e9-a4bb-78d238f20d31","resolution":{"observed_at":"2026-08-07T12:35:41.438347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12096","last_updated":"2024-11-07T09:29:32Z","snapshot_observed_at":"2026-08-07T10:32:02.831043Z","submitted_at":"2024-04-18T11:29:23Z","title":"LongEmbed: Extending Embedding Models for Long Context Retrieval","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12096","snapshot_observed_at":"2026-08-07T12:35:41.561351Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.561351Z"},"links":{"cited_paper":"/paper/2404.12096","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:b7c986e9815f6299ba25aa4907913c69293bbb85b601296ad1a13cdbf8944401","observation_id":"2d576f3c-b7f1-45f7-9736-6a5458b8a13a","resolution":{"observed_at":"2026-08-07T12:35:41.561351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T12:11:05.144228Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":52,"verified_exact":2,"verified_fuzzy":1},"total_outbound_references":55},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2505.24782."}