{"as_of":"2026-08-13T08:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8eda10524528e0ce08228f100061a846aebe585960e79ae76222e9602f447d64","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:35:19.884958Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T12:39:49.187189Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02466","snapshot_observed_at":"2026-08-07T14:35:19.884958Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18405","last_updated":"2025-05-27T04:20:31Z","snapshot_observed_at":"2026-08-09T09:27:17.241700Z","submitted_at":"2025-05-23T22:18:32Z","title":"RaDeR: Reasoning-aware Dense Retrieval Models","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T14:35:19.884958Z"},"links":{"cited_paper":"/paper/2505.02466","citing_paper":"/paper/2505.18405"},"observation_digest":"sha256:2a7882d279a4bd3edbbc3ad71deed18e71b08689c06a7709f1176765892106c8","observation_id":"d5eb6ee4-b5c2-4fa9-8381-bfdcde86cff8","resolution":{"observed_at":"2026-08-07T14:35:19.884958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02466","snapshot_observed_at":"2026-08-07T04:53:43.760061Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.09409","last_updated":"2025-06-11T05:40:26Z","snapshot_observed_at":"2026-08-13T06:36:58.788788Z","submitted_at":"2025-06-11T05:40:26Z","title":"MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T04:53:43.760061Z"},"links":{"cited_paper":"/paper/2505.02466","citing_paper":"/paper/2506.09409"},"observation_digest":"sha256:453bbc51eb4eb0168c0a74a653e601c3444368a83d084dfca7750e35ff9f20b9","observation_id":"63620c65-f3aa-4bca-a327-c4dcc8db71aa","resolution":{"observed_at":"2026-08-07T04:53:43.760061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02466","snapshot_observed_at":"2026-08-06T19:30:16.777926Z","title":"Tevatron 2.0: Uniﬁed document retrieval toolkit across scale, language, and modality","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.05513","last_updated":"2025-07-07T22:20:04Z","snapshot_observed_at":"2026-08-09T00:55:25.952612Z","submitted_at":"2025-07-07T22:20:04Z","title":"Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:16.777926Z"},"links":{"cited_paper":"/paper/2505.02466","citing_paper":"/paper/2507.05513"},"observation_digest":"sha256:508dcb276ee864dd8d25d61d5d46bd65ec12701b1a6c4ba9fb0f570eda93974c","observation_id":"82c44e7f-d6b2-4b51-b68e-0ffd5524c382","resolution":{"observed_at":"2026-08-06T19:30:16.777926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality","version":1},"cited_work":{"arxiv_id":"2505.02466","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.02466","snapshot_observed_at":"2026-07-04T12:39:49.187189Z","title":"Tevatron 2.0: Unified document retrieval toolkit across scale, language, and modality","venue":null,"work_id":"aa0f04f6-f78d-485d-be21-b56ed0604605","year":2022},"citing_paper":{"arxiv_id":"2508.01959","last_updated":"2026-04-21T12:01:19Z","snapshot_observed_at":"2026-08-08T22:33:09.827204Z","submitted_at":"2025-08-03T23:59:31Z","title":"SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T00:44:07.893905Z"},"links":{"cited_paper":"/paper/2505.02466","citing_paper":"/paper/2508.01959"},"observation_digest":"sha256:bf8be1db480962a2400a8732dde9ce4f7cf204dd946f9e96cb9d12d6c8c90a74","observation_id":"f3bd9cac-0349-4008-a3fd-d01f5305fdc4","resolution":{"observed_at":"2026-05-19T00:46:56.298207Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality","version":1},"cited_work":{"arxiv_id":"2505.02466","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.02466","snapshot_observed_at":"2026-07-04T12:39:49.187189Z","title":"Tevatron 2.0: Unified document retrieval toolkit across scale, language, and modality","venue":null,"work_id":"aa0f04f6-f78d-485d-be21-b56ed0604605","year":2022},"citing_paper":{"arxiv_id":"2603.08819","last_updated":"2026-06-20T21:46:17Z","snapshot_observed_at":"2026-08-10T00:08:38.383483Z","submitted_at":"2026-03-09T18:20:20Z","title":"Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-15T13:10:06.367994Z"},"links":{"cited_paper":"/paper/2505.02466","citing_paper":"/paper/2603.08819"},"observation_digest":"sha256:286a81337f4d23ea6ad616ed1fb320a7b33e30057c3a1e872772a7b11d03e393","observation_id":"ed727603-47b9-4c52-b487-e836cf844156","resolution":{"observed_at":"2026-05-15T13:10:49.481275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality","version":1},"cited_work":{"arxiv_id":"2505.02466","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.02466","snapshot_observed_at":"2026-07-04T12:39:49.187189Z","title":"Tevatron 2.0: Unified document retrieval toolkit across scale, language, and modality","venue":null,"work_id":"aa0f04f6-f78d-485d-be21-b56ed0604605","year":2022},"citing_paper":{"arxiv_id":"2606.02814","last_updated":"2026-06-01T19:31:28Z","snapshot_observed_at":"2026-08-10T19:19:57.997349Z","submitted_at":"2026-06-01T19:31:28Z","title":"Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T12:20:52.807293Z"},"links":{"cited_paper":"/paper/2505.02466","citing_paper":"/paper/2606.02814"},"observation_digest":"sha256:ba45fc4bb4c4b509a0d2c7001d318107e3d6d3a720b3381770967e6bf62f9e62","observation_id":"ca18c83d-c1b2-402d-99db-607a6d923e33","resolution":{"observed_at":"2026-07-02T01:16:24.624359Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality","version":1},"cited_work":{"arxiv_id":"2505.02466","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.02466","snapshot_observed_at":"2026-07-04T12:39:49.187189Z","title":"Tevatron 2.0: Unified document retrieval toolkit across scale, language, and modality","venue":null,"work_id":"aa0f04f6-f78d-485d-be21-b56ed0604605","year":2022},"citing_paper":{"arxiv_id":"2606.23642","last_updated":"2026-06-22T17:31:02Z","snapshot_observed_at":"2026-08-12T22:18:06.885830Z","submitted_at":"2026-06-22T17:31:02Z","title":"Improving Long-Context Retrieval with Multi-Prefix Embedding","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-26T06:28:03.449379Z"},"links":{"cited_paper":"/paper/2505.02466","citing_paper":"/paper/2606.23642"},"observation_digest":"sha256:d7f5273d8b1009a4ff6efb17b9b5bd03b25e366d03d8b7f69c49924a4429df5b","observation_id":"0ad42076-50a4-48ff-abae-a6bf6e2c4f48","resolution":{"observed_at":"2026-07-04T12:39:49.188850Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.02466/citation-record","integrity":"/paper/2505.02466/integrity","json":"/paper/2505.02466/citation-record.json","paper":"/paper/2505.02466"},"outbound":[],"paper":{"arxiv_id":"2505.02466","last_updated":"2025-05-05T08:52:49Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-09T22:52:04.536767Z","submitted_at":"2025-05-05T08:52:49Z","title":"Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.02466."}