{"as_of":"2026-08-08T01:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f5dfc864b05e2a7d5780ccf7e59968390cbf5c866b2a2331fc74afae992fe63","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:50:12.927665Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2509.00276/citation-record","integrity":"/paper/2509.00276/integrity","json":"/paper/2509.00276/citation-record.json","paper":"/paper/2509.00276"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-05T13:50:09.469646Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:09.469646Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:c56beb156a0c2c40c4bab9864e1cc48e322e17f3336381d32ebd51adfc3150d4","observation_id":"0cf111cd-36df-49c2-81ec-4ee7d6cf67b0","resolution":{"observed_at":"2026-08-05T13:50:09.469646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05961","last_updated":"2024-08-21T22:46:05Z","snapshot_observed_at":"2026-07-06T17:57:31.912970Z","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":"2026-08-05T13:50:09.579096Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:09.579096Z"},"links":{"cited_paper":"/paper/2404.05961","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:f9a80a96fea9f9161dd627b879d804f2848f83cbb5697b66461699ccf458f72f","observation_id":"f98fc966-2678-4c02-83fa-25460abe227f","resolution":{"observed_at":"2026-08-05T13:50:09.579096Z","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":"2026-08-05T13:50:09.724574Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:09.724574Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:92f52b6b6e081e9ef68193163f7a95ba1aef1052a03fe7a4e762d4de964d9c81","observation_id":"fe704685-2bfd-4c02-b29c-a698b066f4a2","resolution":{"observed_at":"2026-08-05T13:50:09.724574Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:50:15.725966Z","title":null,"venue":null,"work_id":"582ecc3a-cb9c-494c-b7e5-143606cd0648","year":2015},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:09.852351Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:f66bdb3c84d00be1741c4d340b7ea504f0198f2a43a6bd0fcfd9ee7a18fc6f75","observation_id":"f992355c-7f8f-44a2-a4b2-bee1154f12e9","resolution":{"observed_at":"2026-08-05T13:50:15.800463Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:50:15.561850Z","title":null,"venue":null,"work_id":"36874e0d-30cc-4432-955c-48c511793f03","year":2025},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:09.995786Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:6b4c8dc092858799b0b1ebf355b3671c121c9ad324f346f208e3228e795c268b","observation_id":"014ee825-0e83-46a5-87dd-d28020b1374f","resolution":{"observed_at":"2026-08-05T13:50:15.637904Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-05T13:50:10.108709Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.108709Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:71f1a1dcab13305fb9d62574bd5509dd130073523df9661c00833263ba248fb8","observation_id":"2743c581-0223-469b-bd0b-9bf9cffa9c25","resolution":{"observed_at":"2026-08-05T13:50:10.108709Z","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":"2026-08-05T13:50:10.182108Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.182108Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:7f127f368d498e1563b0cce28d437d26cd40e478e52c9c039b58db9206164718","observation_id":"ed452e8e-72c6-4a05-9669-f026c02eec76","resolution":{"observed_at":"2026-08-05T13:50:10.182108Z","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":"4916.2025","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:50:13.705016Z","title":null,"venue":null,"work_id":"c673ef9e-5b63-4fca-a6fc-d5410b477784","year":2025},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.336418Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:50e09d4a4eadfb63361660cbcd1a030e2c5b7a1d8039e75b6daf9f2bbbb43404","observation_id":"9b0f0a3b-0383-4daf-a227-5ec09e2cb3d7","resolution":{"observed_at":"2026-08-05T13:50:13.782502Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:50:15.392857Z","title":null,"venue":null,"work_id":"182c99e9-39be-4327-b930-2cd00dedb17b","year":2000},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.447353Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:284897edde145d59bf29c33b96826191631801d6629a91d993b5996bd6fbb793","observation_id":"e3310c23-321a-480a-85c9-b8182d8dbee7","resolution":{"observed_at":"2026-08-05T13:50:15.467185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.20327","last_updated":"2024-03-29T17:56:40Z","snapshot_observed_at":"2026-07-06T17:53:11.000124Z","submitted_at":"2024-03-29T17:56:40Z","title":"Gecko: Versatile Text Embeddings Distilled from Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.20327","snapshot_observed_at":"2026-08-05T13:50:10.522553Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.522553Z"},"links":{"cited_paper":"/paper/2403.20327","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:a547d71c802f44f163a5dda5570214043ba68b2d03a8a7f83628dc0723981d99","observation_id":"ebad721d-ff64-47ba-b0ef-c877c573551a","resolution":{"observed_at":"2026-08-05T13:50:10.522553Z","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":"2026-08-05T13:50:15.168950Z","title":null,"venue":null,"work_id":"1e75ead9-3ee4-4e98-a8ea-cdec7af91808","year":2025},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.638390Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:fc77462ab83b753741945cf8eb94398326aa6bd1991184f6b64b6aed86c7f75b","observation_id":"ab099aec-d5a8-439c-b777-bc8f9ac48fdc","resolution":{"observed_at":"2026-08-05T13:50:15.298821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:50:14.990521Z","title":null,"venue":null,"work_id":"ecd02868-24cf-4b20-b337-e979e136f17c","year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.733009Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:5469dfe65ceb3a4890b43f9bff6a8d231cc7935b89a8ac614c7ce39cbbb40ae9","observation_id":"ed54ba3f-360c-4bb8-9845-2ed2f759d134","resolution":{"observed_at":"2026-08-05T13:50:15.076572Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13292","last_updated":"2025-05-19T16:14:27Z","snapshot_observed_at":"2026-08-07T15:43:05.525872Z","submitted_at":"2025-05-19T16:14:27Z","title":"Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13292","snapshot_observed_at":"2026-08-05T13:50:10.829405Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.829405Z"},"links":{"cited_paper":"/paper/2505.13292","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:fa55771ff6a05bb82260f4ecbad9800800deba7221e59dac174189b4a4a10c94","observation_id":"15e22a90-d25b-4eb3-b9c4-fab2f2900340","resolution":{"observed_at":"2026-08-05T13:50:10.829405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18087","last_updated":"2025-06-22T16:23:45Z","snapshot_observed_at":"2026-08-06T23:20:47.353154Z","submitted_at":"2025-06-22T16:23:45Z","title":"Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models","version":1},"cited_work":{"arxiv_id":"2506.18087","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.18087","snapshot_observed_at":"2026-08-05T13:50:13.449584Z","title":"Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models","venue":"cs.CR","work_id":"c1c8f386-9152-470e-8e7b-8d96cf0408ed","year":2025},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.942048Z"},"links":{"cited_paper":"/paper/2506.18087","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:4f51705e8de3475c420516f619ecca1053bf3e6a83de4e3a49ebe3b70ec45ed8","observation_id":"96ca99b8-4b89-48d3-9f5e-49d688cc6ff5","resolution":{"observed_at":"2026-08-05T13:50:13.544044Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:50:11.058073Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.058073Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:9a84131448f738093afa850cd1be15a9a4a0670b36f3dc6e84a1f857cd442884","observation_id":"f1ddd91d-8079-44bf-bd46-7610ccb8103a","resolution":{"observed_at":"2026-08-05T13:50:11.058073Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08319","last_updated":"2023-10-12T13:32:35Z","snapshot_observed_at":"2026-07-06T16:31:52.204065Z","submitted_at":"2023-10-12T13:32:35Z","title":"Fine-Tuning LLaMA for Multi-Stage Text Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08319","snapshot_observed_at":"2026-08-05T13:50:11.171846Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.171846Z"},"links":{"cited_paper":"/paper/2310.08319","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:480eb82f6fd5567601bb44c0d6da95cacf94a585497fcb0a7e42f91ab29d439f","observation_id":"0591b75a-9e2d-4f29-86dc-4ab4308f8216","resolution":{"observed_at":"2026-08-05T13:50:11.171846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09906","last_updated":"2025-03-03T04:28:49Z","snapshot_observed_at":"2026-07-06T17:30:34.153488Z","submitted_at":"2024-02-15T12:12:19Z","title":"Generative Representational Instruction Tuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09906","snapshot_observed_at":"2026-08-05T13:50:11.309759Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.309759Z"},"links":{"cited_paper":"/paper/2402.09906","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:5fe1affbd17d6dc7d247f3a9b41bdf6a02b687006a7613222d71353997c012b1","observation_id":"4c219a0b-4db4-48aa-83bd-7164b7c11cc0","resolution":{"observed_at":"2026-08-05T13:50:11.309759Z","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":"2026-08-05T13:50:14.843128Z","title":null,"venue":null,"work_id":"e5995510-c47f-4a8b-81e0-2b8475debd03","year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.421620Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:5460b44a75d3e275c327c08cb9c3e7d75f2adda53c84ae83aa7dfbdc0b34c00e","observation_id":"c937a479-73d6-41d7-8e98-5a64840e8cfd","resolution":{"observed_at":"2026-08-05T13:50:14.908338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15449","last_updated":"2025-09-07T18:50:16Z","snapshot_observed_at":"2026-08-06T20:29:23.392459Z","submitted_at":"2024-02-23T17:25:10Z","title":"Repetition Improves Language Model Embeddings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15449","snapshot_observed_at":"2026-08-05T13:50:11.502258Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.502258Z"},"links":{"cited_paper":"/paper/2402.15449","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:9e11e473145ca82c37fabc1ad1715d5954316c5891126e2eabdab84ab444f157","observation_id":"04e4f75b-7c82-4fc7-8d66-f30ac71a057b","resolution":{"observed_at":"2026-08-05T13:50:11.502258Z","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":"2026-07-06T18:48:04.031944Z","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":"2026-08-05T13:50:11.584107Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.584107Z"},"links":{"cited_paper":"/paper/2407.12883","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:238a432a37cd3c37c50a2c8e8059f2395e71ec225117332153907e10520d94ec","observation_id":"db6bbbb3-4c4a-422a-af04-67596c8b7ca0","resolution":{"observed_at":"2026-08-05T13:50:11.584107Z","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":"2026-08-05T13:50:11.667753Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.667753Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:6e5acc5a493049aa72bc14c46ef73b9c216c89fbd6146d89810b6839210eed3e","observation_id":"94df3324-0824-4cfc-ac80-9cd30d3edab6","resolution":{"observed_at":"2026-08-05T13:50:11.667753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11129","last_updated":"2024-10-15T20:55:29Z","snapshot_observed_at":"2026-08-07T00:34:32.186298Z","submitted_at":"2024-02-16T23:28:02Z","title":"BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11129","snapshot_observed_at":"2026-08-05T13:50:11.862965Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.862965Z"},"links":{"cited_paper":"/paper/2402.11129","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:860c428942e92e3d68d95b4f1d090a7a456a632f88d8d7b67450eee921dbb586","observation_id":"d1319606-dde5-41d8-b12e-2f2801cec8d8","resolution":{"observed_at":"2026-08-05T13:50:11.862965Z","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":"2026-08-05T13:50:11.782256Z","title":"In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers), Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (Eds.)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.782256Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:26a62a2b478b0e71fb3fe2d9d7d9b821ddc334085a8382fc5889c710a2163bf3","observation_id":"eb36207c-bf1d-455c-b1fb-e155452d9dd6","resolution":{"observed_at":"2026-08-05T13:50:11.782256Z","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":"2026-08-05T13:50:12.043934Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.043934Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:63fdb666dce3269cd170914851a23be4d3956b2414e9da58385e7989d88835d4","observation_id":"83a315e8-b9b6-4868-b120-fc24e96b0e99","resolution":{"observed_at":"2026-08-05T13:50:12.043934Z","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":"2026-08-05T13:50:11.939820Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:11.939820Z"},"links":{"cited_paper":"/paper/2212.03533","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:70f9422b7728f316f6466b8e93fbcf84cc1ba47551bf66c4bbe4058ccbc818c9","observation_id":"58cc2b06-1390-4e16-a646-ba67acca4670","resolution":{"observed_at":"2026-08-05T13:50:11.939820Z","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":"2026-08-05T13:50:14.647551Z","title":null,"venue":null,"work_id":"5cf2c287-0b95-4786-9244-558e4fe73dab","year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.227546Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:226677c572888676c7ad7b1ec8b5b2623594a1e7192cd25552350e9695a2e910","observation_id":"8e2d0be4-70f4-4f0b-a1ea-f0401dc72ed0","resolution":{"observed_at":"2026-08-05T13:50:14.719651Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06347","last_updated":"2024-05-12T18:23:41Z","snapshot_observed_at":"2026-07-06T17:57:48.153936Z","submitted_at":"2024-04-09T14:34:48Z","title":"RAR-b: Reasoning as Retrieval Benchmark","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06347","snapshot_observed_at":"2026-08-05T13:50:12.144107Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.144107Z"},"links":{"cited_paper":"/paper/2404.06347","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:07527bc655b24ec6b0f08fed867da9eb0cd24aa3727b0307cbe6e3e601f87288","observation_id":"7e0adb7f-1563-4718-ad44-64664e447c9d","resolution":{"observed_at":"2026-08-05T13:50:12.144107Z","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":"2026-08-05T13:50:14.325063Z","title":null,"venue":null,"work_id":"fc32f6c9-51f7-4eb1-b409-6ada535360f7","year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.409425Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:ce3c8310a6d85aa29d7bf8eb135ee7dd6310d9c94db933bb186ef4ed092758fc","observation_id":"a1588486-a718-4cda-ade7-db80df0b4b6b","resolution":{"observed_at":"2026-08-05T13:50:14.411236Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:50:14.491824Z","title":null,"venue":null,"work_id":"e3a41150-9227-4aab-90fd-3940bafc1dbb","year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.334962Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:e6675d68b72c9ce17a68a2f272eee4138654a8940cd9af8011708df8dbaf0087","observation_id":"b8e80ade-b316-47af-8b59-8e22b14f6d1a","resolution":{"observed_at":"2026-08-05T13:50:14.566695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19925","last_updated":"2025-01-13T04:33:01Z","snapshot_observed_at":"2026-07-06T20:13:54.305272Z","submitted_at":"2024-12-27T21:19:01Z","title":"HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19925","snapshot_observed_at":"2026-08-05T13:50:12.599954Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.599954Z"},"links":{"cited_paper":"/paper/2412.19925","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:20589f4d6a16c439611c21997d3aa67303b686ce0a4a8ef983919d629e4265d1","observation_id":"b00a62a7-f3ec-4464-b22d-87011625fccb","resolution":{"observed_at":"2026-08-05T13:50:12.599954Z","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":"5916.2025","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:50:13.172942Z","title":null,"venue":null,"work_id":"abc9b553-4955-4daf-8550-35dea36ee737","year":2025},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.522582Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:dd2d0b921cc07cb871935f09eb688f405ce69120c2b91ce306c956dee127b843","observation_id":"ce0cae26-71cc-4a2b-9a97-8fc5c87f8c19","resolution":{"observed_at":"2026-08-05T13:50:13.293235Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:50:14.075116Z","title":null,"venue":null,"work_id":"6010aeb3-9a66-4db1-b98e-235dcd6e0b85","year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.771148Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:18e8ec580c32e0ad0fb0a4004bb026cc8b3f0c3ba1fbefe96c6dc83a0ee8c7e0","observation_id":"13bacc29-7ccd-431e-a312-6c9565b7cc26","resolution":{"observed_at":"2026-08-05T13:50:14.148527Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09210","last_updated":"2024-10-03T04:35:39Z","snapshot_observed_at":"2026-07-06T16:48:05.271182Z","submitted_at":"2023-11-15T18:54:53Z","title":"Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09210","snapshot_observed_at":"2026-08-05T13:50:12.676229Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.676229Z"},"links":{"cited_paper":"/paper/2311.09210","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:2fd95507da383afb3b81846c3ffba90fa888254a1e023d7108c181eb4162ca34","observation_id":"6d074e98-2a0f-4866-896c-076688f21114","resolution":{"observed_at":"2026-08-05T13:50:12.676229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18424","last_updated":"2024-10-19T01:07:37Z","snapshot_observed_at":"2026-07-31T15:56:38.933623Z","submitted_at":"2024-04-29T04:51:30Z","title":"PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18424","snapshot_observed_at":"2026-08-05T13:50:12.927665Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.927665Z"},"links":{"cited_paper":"/paper/2404.18424","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:8bc700c0c25f71c217798d1b5b7c0fdbffb21aa254c84b70367549c16ffe3af3","observation_id":"90319cfa-ef12-4e51-8dfd-3f65f01500aa","resolution":{"observed_at":"2026-08-05T13:50:12.927665Z","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":"2026-08-05T13:50:13.919264Z","title":null,"venue":null,"work_id":"d5999aae-6aef-4108-ae3c-41fcf2eba269","year":2024},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:12.854520Z"},"links":{"citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:ddcd26cf1f27bcf00daac573e078054831ccc49bbd321af8e8db771a4f573595","observation_id":"68fb4ef2-3c73-4b38-9e0c-ff496ec7f28b","resolution":{"observed_at":"2026-08-05T13:50:13.995358Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.16645","last_updated":"2023-07-31T13:26:03Z","snapshot_observed_at":"2026-08-01T09:03:35.501236Z","submitted_at":"2023-07-31T13:26:03Z","title":"Scaling Sentence Embeddings with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.16645","snapshot_observed_at":"2026-08-05T13:50:10.236047Z","title":"arXiv preprint arXiv:2307.16645 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T13:50:10.236047Z"},"links":{"cited_paper":"/paper/2307.16645","citing_paper":"/paper/2509.00276"},"observation_digest":"sha256:7aaede4b2f7611344928c015b53e7d06059162fe34a855e60faeb8c7b72ca11d","observation_id":"b6f13da3-be39-4e45-b6e3-517c3e57ee37","resolution":{"observed_at":"2026-08-05T13:50:10.236047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.00276","last_updated":"2025-08-29T23:22:34Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T13:50:09.112723Z","submitted_at":"2025-08-29T23:22:34Z","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":36},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2509.00276."}