{"as_of":"2026-08-11T05:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa7013802174bad54cd0e46c7d4b32e20e91a76ef9129e36278628f3ede6e172","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-14T18:16:49.148303Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T01:43:03.263619Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.13521","snapshot_observed_at":"2026-08-01T03:15:58.781356Z","title":"Granite embedding multilingual R2 models","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25180","last_updated":"2026-07-28T01:13:37Z","snapshot_observed_at":"2026-08-09T22:54:53.239034Z","submitted_at":"2026-07-28T01:13:37Z","title":"Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-01T03:15:58.781356Z"},"links":{"cited_paper":"/paper/2605.13521","citing_paper":"/paper/2607.25180"},"observation_digest":"sha256:40a8d1de5cb218f2a33c16a6f61a7c12d9463074df193dad70f2b3a55477c756","observation_id":"29307677-4996-4aff-a8af-5ebffe4a03ce","resolution":{"observed_at":"2026-08-01T03:15:58.781356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.13521","snapshot_observed_at":"2026-07-30T11:17:16.665774Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.27178","last_updated":"2026-07-31T14:35:24Z","snapshot_observed_at":"2026-08-05T23:14:53.018277Z","submitted_at":"2026-07-29T17:50:51Z","title":"DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-07-30T11:17:16.665774Z"},"links":{"cited_paper":"/paper/2605.13521","citing_paper":"/paper/2607.27178"},"observation_digest":"sha256:d0f0be180dd056edf8ec6076c1cb24b590536f6930eb1ca41a6026790fe3a33d","observation_id":"829bab1e-a6b9-4b96-bb45-010708b57601","resolution":{"observed_at":"2026-07-30T11:17:16.665774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.13521","snapshot_observed_at":"2026-08-03T01:43:03.263619Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.27178","last_updated":"2026-07-31T14:35:24Z","snapshot_observed_at":"2026-08-05T23:14:53.018277Z","submitted_at":"2026-07-29T17:50:51Z","title":"DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-03T01:43:03.263619Z"},"links":{"cited_paper":"/paper/2605.13521","citing_paper":"/paper/2607.27178"},"observation_digest":"sha256:1846d3511cd1865d28bfd3e7bc6911cb79910c503f0e656ce5d2b2e9a878aa56","observation_id":"664e7e03-4b31-47e9-9322-d9105a52fc96","resolution":{"observed_at":"2026-08-03T01:43:03.263619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.13521/citation-record","integrity":"/paper/2605.13521/integrity","json":"/paper/2605.13521/citation-record.json","paper":"/paper/2605.13521"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.08905","last_updated":"2024-12-12T03:37:41Z","snapshot_observed_at":"2026-08-05T04:04:21.846023Z","submitted_at":"2024-12-12T03:37:41Z","title":"Phi-4 Technical Report","version":1},"cited_work":{"arxiv_id":"2412.08905","doi":"10.48550/arxiv.2412.08905","metadata_source":"pith","pith_arxiv_id":"2412.08905","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Phi-4 Technical Report","venue":"cs.CL","work_id":"b6274271-7af9-4ee8-993b-ba1ba4205ba8","year":2024},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2412.08905","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:295fad7631e93c49b79842cbecf45ae5e3e19da5b83804cf5184da83eae5a5d1","observation_id":"ff314ada-f850-43b1-b763-3248ed73e6eb","resolution":{"observed_at":"2026-05-14T18:17:34.912340Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-02T03:08:11.323957+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-02T03:08:11.323957+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.15547","last_updated":"2026-04-28T15:18:23Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-17T12:50:50Z","title":"jina-embeddings-v5-text: Task-Targeted Embedding Distillation","version":2},"cited_work":{"arxiv_id":"2602.15547","doi":"10.48550/arxiv.2602.15547","metadata_source":"pith","pith_arxiv_id":"2602.15547","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"jina-embeddings-v5-text: Task-Targeted Embedding Distillation","venue":"cs.CL","work_id":"528e100c-d9f0-4c57-b2f7-b7f63dd5f83e","year":2026},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2602.15547","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:89b76015a492ae693f51ef51acf7b3fef744c61562bb5d288fa3ded276133478","observation_id":"8dada3f2-6aac-44ec-a6a7-584712d71867","resolution":{"observed_at":"2026-05-14T18:17:34.918699Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.09470","last_updated":"2020-08-19T20:58:27Z","snapshot_observed_at":"2026-08-09T04:56:01.069547Z","submitted_at":"2020-08-19T20:58:27Z","title":"Top2Vec: Distributed Representations of Topics","version":1},"cited_work":{"arxiv_id":"2008.09470","doi":"10.48550/arxiv.2008.09470","metadata_source":"arxiv_reference","pith_arxiv_id":"2008.09470","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spectral","venue":"arXiv (Cornell University)","work_id":"f59bbab6-3618-4a3e-8d06-bebc6918a16c","year":2008},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2008.09470","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:c72cd3109157d5c276be540b6a7a5218ebe2220dc3ea046c1085b54b958225fb","observation_id":"c7db43ae-2dce-4421-b25a-cc3c7599898b","resolution":{"observed_at":"2026-05-14T18:17:34.946021Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-25T15:24:06.887681+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T15:24:06.887681+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2502.13595","doi":"10.48550/arxiv.2502.13595","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2502.13595 , year=","venue":"ArXiv.org","work_id":"774aa5f1-35ad-4b36-b6cc-5f461cfab347","year":2025},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:42e44515abd2a94e134ea0bfb5871bde780023c5a7246b406ef4ef2bbcd868d1","observation_id":"dd16797d-cd2c-4f26-be0f-a475ff5e5754","resolution":{"observed_at":"2026-05-14T18:17:34.939437Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-12T01:21:22.576282+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T01:21:22.576282+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2502.13595","doi":"10.48550/arxiv.2502.13595","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2502.13595 , year=","venue":"ArXiv.org","work_id":"774aa5f1-35ad-4b36-b6cc-5f461cfab347","year":2025},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:bf73d4b5c673bd2dc1e3572e407aeb9b2fdba125d1cc202d1a949c80378325ce","observation_id":"7696c656-95e1-4d2b-bcfa-2d241e057775","resolution":{"observed_at":"2026-05-14T18:17:32.805463Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-12T01:21:22.576282+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T01:21:22.576282+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.emnlp-main.552","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"S im CSE : Simple Contrastive Learning of Sentence Embeddings","venue":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","work_id":"f9c0d9b5-c569-4f54-bdc7-6ff3cdd316db","year":2021},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:005c22d8454b2e3a76e895039607d1bc5fb44c6461e36432f1f82d916db50b5b","observation_id":"646c1f3e-59f0-43df-84cd-ce4d5469a864","resolution":{"observed_at":"2026-05-14T18:17:32.810343Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-01T13:38:16.221421+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T13:38:16.221421+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.emnlp-industry.36","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Arcee ' s M erge K it: A Toolkit for Merging Large Language Models","venue":null,"work_id":"b1e8fb20-341f-42be-9bd5-14c580692b80","year":2024},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:6e3b10252256877c3835958ab86ec56f8011c6f98e2553e918caed742d5140a2","observation_id":"8cdd0322-8dd8-4666-a9a2-361763de1509","resolution":{"observed_at":"2026-05-14T18:17:32.817037Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-20T11:54:20.032218+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T11:54:20.032218+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13147","last_updated":"2024-02-08T03:21:26Z","snapshot_observed_at":"2026-08-09T09:31:29.895012Z","submitted_at":"2022-05-26T04:33:56Z","title":"Matryoshka Representation Learning","version":4},"cited_work":{"arxiv_id":"2205.13147","doi":"10.48550/arxiv.2205.13147","metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, and Wei Ping","venue":"arXiv (Cornell University)","work_id":"c625db53-88b0-47bb-b5b6-bea56457525e","year":2022},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2205.13147","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:127bad3f37df826a5b24a55f381d88b7b943b960ddd3519bcb6a81f2af6e2fe0","observation_id":"bc93c0c5-561a-4b0b-8311-67c7f164439b","resolution":{"observed_at":"2026-05-14T18:17:34.979362Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T15:38:30.825736+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T15:38:30.825736+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-10T15:38:30.825736+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02883","last_updated":"2025-06-06T03:39:22Z","snapshot_observed_at":"2026-08-06T01:13:28.038577Z","submitted_at":"2024-07-03T07:58:20Z","title":"CoIR: A Comprehensive Benchmark for Code Information Retrieval Models","version":3},"cited_work":{"arxiv_id":"2407.02883","doi":"10.48550/arxiv.2407.02883","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.02883","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Tianyang Liu, Canwen Xu, and Julian McAuley","venue":"arXiv (Cornell University)","work_id":"962bdf9a-d746-425a-8285-7097e3d3ade9","year":2024},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2407.02883","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:d8ef4f96f5e7a7b9c4c2e6825eb9dc99968aff7bb91bfe56a9311ccf9eb0df50","observation_id":"77f9caf4-4d91-414f-a7ba-cf706899f6bb","resolution":{"observed_at":"2026-05-14T18:17:34.951933Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-21T21:53:09.80985+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T21:53:09.80985+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2308.03281","doi":"10.48550/arxiv.2308.03281","metadata_source":"pith","pith_arxiv_id":"2308.03281","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards General Text Embeddings with Multi-stage Contrastive Learning","venue":"cs.CL","work_id":"861a61de-66fe-49d1-b1ab-11f8b082a4cc","year":2023},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2308.03281","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:7f4c713f75ae7d226b139045e1e88c84ba3e1b0f938ea2d872c43f849c628a47","observation_id":"febd7f50-c7b3-475f-959e-fbe32348d39b","resolution":{"observed_at":"2026-05-14T18:17:35.027623Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-01T13:38:14.033899+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T13:38:14.033899+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.08584","last_updated":"2026-01-13T14:06:03Z","snapshot_observed_at":"2026-08-04T17:10:53.354037Z","submitted_at":"2026-01-13T14:06:03Z","title":"Ministral 3","version":1},"cited_work":{"arxiv_id":"2601.08584","doi":"10.48550/arxiv.2601.08584","metadata_source":"pith","pith_arxiv_id":"2601.08584","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ministral 3","venue":"cs.CL","work_id":"6f314463-0f42-4eea-a5c3-607e733d6afe","year":2026},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2601.08584","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:3a535b29e3b3f639887cadd27ca88912c0f7ed124d2e3a031d785bf1b322d761","observation_id":"4e41af24-7c66-45b9-bc64-8eda99a2583f","resolution":{"observed_at":"2026-05-14T19:12:24.826958Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T05:19:23.713861+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T05:19:23.713861+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.06888","last_updated":"2025-09-08T17:08:42Z","snapshot_observed_at":"2026-08-07T16:06:21.130449Z","submitted_at":"2025-09-08T17:08:42Z","title":"mmBERT: A Modern Multilingual Encoder with Annealed Language Learning","version":1},"cited_work":{"arxiv_id":"2509.06888","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.06888","snapshot_observed_at":"2026-07-02T13:36:59.108858Z","title":"arXiv preprint arXiv:2509.06888 , year=","venue":null,"work_id":"a4af1942-6773-4b72-afdc-d0963c88f9a6","year":2025},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2509.06888","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:18934346325d97383d45646c2bc5f67741b8a891bd07056a5001f43ca5a94d6c","observation_id":"423a8068-0293-495b-be2e-e801095d9a33","resolution":{"observed_at":"2026-05-14T18:17:34.999588Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.10005","last_updated":"2022-01-24T23:36:20Z","snapshot_observed_at":"2026-07-06T12:30:51.934079Z","submitted_at":"2022-01-24T23:36:20Z","title":"Text and Code Embeddings by Contrastive Pre-Training","version":1},"cited_work":{"arxiv_id":"2201.10005","doi":"10.48550/arxiv.2201.10005","metadata_source":"pith","pith_arxiv_id":"2201.10005","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Text and Code Embeddings by Contrastive Pre-Training","venue":"cs.CL","work_id":"b5a7ebcc-85b7-4a3f-8495-8d4b5220f949","year":2022},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2201.10005","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:a6d05c51430b20723bdb4c98106a7b1b585d03ee3467e082e43b255fde2bab11","observation_id":"79eb47bb-08ef-4a77-b351-36fe32b8e0a5","resolution":{"observed_at":"2026-05-15T19:24:12.120554Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.20920","last_updated":"2025-06-26T01:01:47Z","snapshot_observed_at":"2026-08-07T23:54:52.849436Z","submitted_at":"2025-06-26T01:01:47Z","title":"FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language","version":1},"cited_work":{"arxiv_id":"2506.20920","doi":"10.48550/arxiv.2506.20920","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.20920","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Fineweb2: One pipeline to scale them all -- adapting pre-training data processing to every language","venue":"ArXiv.org","work_id":"8c1a96bf-50f6-4e4a-b724-e61bee88277d","year":2025},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2506.20920","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:16f245a03838f05521e6f5da4445c036285664ee5678a85f6fd2c588ac608e39","observation_id":"009b4acd-a370-4dba-a981-20466c2442fe","resolution":{"observed_at":"2026-05-14T18:17:34.932496Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20595","last_updated":"2025-04-29T09:49:28Z","snapshot_observed_at":"2026-08-07T15:58:18.063496Z","submitted_at":"2025-04-29T09:49:28Z","title":"ReasonIR: Training Retrievers for Reasoning Tasks","version":1},"cited_work":{"arxiv_id":"2504.20595","doi":"10.48550/arxiv.2504.20595","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasonir: Training retrievers for reasoning tasks.arXiv preprint arXiv:2504.20595","venue":"ArXiv.org","work_id":"de4953a9-6af8-42eb-a437-4957de31adcf","year":2025},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2504.20595","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:e351a7a58376ba145f114cce15514dfded2fcb03a04cb5bbb011e24413dd4e36","observation_id":"21332589-0ddd-4d4e-ab10-f891a520e4df","resolution":{"observed_at":"2026-05-14T18:17:34.925637Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-01T13:38:14.865076+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T13:38:14.865076+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19786","last_updated":"2025-03-25T15:52:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T15:52:34Z","title":"Gemma 3 Technical Report","version":1},"cited_work":{"arxiv_id":"2503.19786","doi":"10.1007/978-3-540-48085-3_36","metadata_source":"pith","pith_arxiv_id":"2503.19786","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma 3 Technical Report","venue":"cs.CL","work_id":"f93e08bf-9e96-409b-8ac6-b8385fd17fd7","year":2025},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2503.19786","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:8486a1b2744db50d72e973f7e8ae3c900736169c5a599aae28c075caded996e3","observation_id":"d1b4a592-fab8-4200-8444-9c84ebb56e63","resolution":{"observed_at":"2026-05-14T18:17:34.956911Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.20354","last_updated":"2025-11-01T23:38:27Z","snapshot_observed_at":"2026-08-01T16:32:32.583858Z","submitted_at":"2025-09-24T17:56:51Z","title":"EmbeddingGemma: Powerful and Lightweight Text Representations","version":3},"cited_work":{"arxiv_id":"2509.20354","doi":"10.48550/arxiv.2509.20354","metadata_source":"pith","pith_arxiv_id":"2509.20354","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"EmbeddingGemma: Powerful and Lightweight Text Representations","venue":"cs.CL","work_id":"e83995d5-78dc-4a7b-8d9a-1776d004351d","year":2025},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2509.20354","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:03bea6f6060f607c6be2e8f1044193bd6ea195f6de72da36f4bacc32192745a8","observation_id":"5c6b07f0-651c-4f92-af22-b8738f38d3bd","resolution":{"observed_at":"2026-05-15T12:07:21.094991Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05672","last_updated":"2024-02-08T13:47:50Z","snapshot_observed_at":"2026-07-30T09:46:51.062184Z","submitted_at":"2024-02-08T13:47:50Z","title":"Multilingual E5 Text Embeddings: A Technical Report","version":1},"cited_work":{"arxiv_id":"2402.05672","doi":"10.48550/arxiv.2402.05672","metadata_source":"pith","pith_arxiv_id":"2402.05672","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Multilingual E5 Text Embeddings: A Technical Report","venue":"cs.CL","work_id":"b2004e20-1b24-4c37-9fad-dfdd9a7a8fee","year":2024},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2402.05672","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:22648ac8f4494692a6269c05df0311d5410ccb34024f2a340d65f74aacb9634e","observation_id":"4210b735-8e89-4036-b9a3-f2582b32d966","resolution":{"observed_at":"2026-05-14T18:17:34.967691Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06347","last_updated":"2024-05-12T18:23:41Z","snapshot_observed_at":"2026-08-10T12:06:57.751839Z","submitted_at":"2024-04-09T14:34:48Z","title":"RAR-b: Reasoning as Retrieval Benchmark","version":2},"cited_work":{"arxiv_id":"2404.06347","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.06347","snapshot_observed_at":"2026-07-04T11:59:51.157261Z","title":"Rar-b: Reasoning as retrieval benchmark","venue":null,"work_id":"68afd1ff-1bb8-4bcb-a609-1e94c0274e8a","year":2024},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2404.06347","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:1bdaff6f87c48248cbd836232e667a190137bfad19605f38b9fdc51a3351ab1f","observation_id":"832c4c3c-156a-47f6-82b6-66c12b36c53e","resolution":{"observed_at":"2026-05-14T18:17:34.992485Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00808","last_updated":"2020-10-20T22:17:19Z","snapshot_observed_at":"2026-08-06T15:45:53.027828Z","submitted_at":"2020-07-01T23:15:56Z","title":"Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval","version":2},"cited_work":{"arxiv_id":"2007.00808","doi":"10.48550/arxiv.2007.00808","metadata_source":"pith","pith_arxiv_id":"2007.00808","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Approximate nearest neighbor negative contrastive learning for dense text retrieval","venue":"cs.IR","work_id":"1d9d04ff-6387-4626-9aec-ecd178b3c821","year":2020},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2007.00808","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:df5dc1538de7f3950ae79cfb51f3f3938f020c71c76fa43a5bcbbde8d9c4cbda","observation_id":"cbfa7732-3fce-421d-ab58-a9896fc1e62a","resolution":{"observed_at":"2026-05-14T18:17:34.962468Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9206.327180","doi":"10.1145/3269206.3271800","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ISBN 9781450360142","venue":null,"work_id":"e2ed4667-ab45-47e3-a02f-a874e6fcebf0","year":2018},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:750b66bb92162ecb310084bd27798f4cb4a8e91a79803154ceb1c049811d9e76","observation_id":"51265e9c-ab07-4a7f-8538-1961a43d5dc9","resolution":{"observed_at":"2026-05-14T18:17:32.827887Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T08:49:07.660123+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T08:49:07.660123+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19669","last_updated":"2024-10-14T12:19:44Z","snapshot_observed_at":"2026-08-11T02:40:42.406259Z","submitted_at":"2024-07-29T03:12:28Z","title":"mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval","version":2},"cited_work":{"arxiv_id":"2407.19669","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19669","snapshot_observed_at":"2026-07-04T11:59:51.208547Z","title":"Zhang, Y","venue":null,"work_id":"a6a3838d-cd4c-47af-9ccf-922b7a77fb2b","year":2024},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2407.19669","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:62b6fd3e8b3bb635f58abe13570981448923fcf8f0110bbc96a1b363a60b42a5","observation_id":"c3444c08-370a-42c1-a0a5-15ece15b2ee8","resolution":{"observed_at":"2026-05-14T18:17:35.014306Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.13013","last_updated":"2020-09-28T02:11:02Z","snapshot_observed_at":"2026-07-06T09:59:13.502662Z","submitted_at":"2020-09-28T02:11:02Z","title":"SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval","version":1},"cited_work":{"arxiv_id":"2009.13013","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.13013","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2009.13013 , year=","venue":null,"work_id":"25cfbcb7-f9c5-4b52-9047-238d01a635f2","year":2009},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"cited_paper":"/paper/2009.13013","citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:bca8b0749107d8524474910d03732322a229a33bfbe7073ee7849327640e44df","observation_id":"007424db-072e-451b-b029-e543744b7cd5","resolution":{"observed_at":"2026-05-14T18:17:34.985742Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Parul Awasthy was the challenge lead on the project overall, calling from WRL, with Jaydeep Sen coordinating the work from IRL","venue":null,"work_id":"0ea4b802-358d-408e-87cf-5cd2ec7ed344","year":2024},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:1bca6c861122735d745bd4f18833fa3598e96c93e4d03cbdcda30887c8f59c1b","observation_id":"2aaae39a-2ecf-490b-82e6-9b0401c46e52","resolution":{"observed_at":"2026-05-15T23:21:52.403628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"11fbd423-0002-4358-ae56-dcdad2430869","year":2026},"citing_paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-14T18:16:49.148303Z"},"links":{"citing_paper":"/paper/2605.13521"},"observation_digest":"sha256:6fc8a86730f21f8c41472d874174bb989aceef9f6f059950874cd39bdde224ce","observation_id":"1229f320-a190-4c36-9fea-985c1709e98f","resolution":{"observed_at":"2026-05-15T23:21:52.399178Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.13521","last_updated":"2026-05-13T13:37:45Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-02T12:25:38.200224Z","submitted_at":"2026-05-13T13:37:45Z","title":"Granite Embedding Multilingual R2 Models"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":12,"parse_uncertain":0,"unresolved":1,"verified_exact":11,"verified_fuzzy":1},"total_outbound_references":25},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2605.13521."}