{"as_of":"2026-08-04T04:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b0196a8725affbd19500d20624759cc06a3426ae2853d79a3d62e2cc8ca01f68","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-03T06:30:56.289259+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T01:32:11.741310Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-08-03T21:42:48.831568Z","title":"Reducing the footprint of multi- vector retrieval with minimal performance impact via token pooling,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.14143","last_updated":"2026-06-08T00:19:12Z","snapshot_observed_at":"2026-08-03T21:42:43.699429Z","submitted_at":"2025-11-18T05:03:17Z","title":"SMART: Shot-Aware Multimodal Video Moment Retrieval with Audio-Enhanced MLLM","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T21:42:48.831568Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2511.14143"},"observation_digest":"sha256:a26a42d10b5eb2460ff35125e4aba64040f8091caa77276066a4d3f963c917c0","observation_id":"408c962f-e50e-4014-be89-ac75cb19f4f4","resolution":{"observed_at":"2026-08-03T21:42:48.831568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":"2409.14683","doi":"10.48550/arxiv.2409.14683","metadata_source":"pith","pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683","venue":"cs.IR","work_id":"c67f47d9-b9f5-4e7f-9b40-0e076fa61c4a","year":2024},"citing_paper":{"arxiv_id":"2601.21853","last_updated":"2026-05-21T17:20:12Z","snapshot_observed_at":"2026-08-02T05:54:02.251964Z","submitted_at":"2026-01-29T15:26:32Z","title":"LEMUR: Learned Multi-Vector Retrieval","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-22T11:56:41.934325Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2601.21853"},"observation_digest":"sha256:ba1764edf5520cfc0bba22fbc8517fc58c5848f024aa39f07bd12a7a4d596734","observation_id":"7d71833a-abf5-4734-a422-a968d7482b58","resolution":{"observed_at":"2026-05-22T12:01:30.298205Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-08-03T05:21:47.310010Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02827","last_updated":"2026-06-02T15:26:45Z","snapshot_observed_at":"2026-08-03T05:21:43.980159Z","submitted_at":"2026-02-02T21:27:01Z","title":"Col-Bandit: Query-Time Top-$K$ Estimation for Late-Interaction Retrieval","version":2},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-03T05:21:47.310010Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2602.02827"},"observation_digest":"sha256:745c44b94fb1b8ddd88bddc792e95d76b8aded024b9b54c3636b76651c651d00","observation_id":"21382b26-3c7b-4175-a41b-f7af92aeee5e","resolution":{"observed_at":"2026-08-03T05:21:47.310010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":"2409.14683","doi":"10.48550/arxiv.2409.14683","metadata_source":"pith","pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683","venue":"cs.IR","work_id":"c67f47d9-b9f5-4e7f-9b40-0e076fa61c4a","year":2024},"citing_paper":{"arxiv_id":"2602.19549","last_updated":"2026-04-20T01:43:08Z","snapshot_observed_at":"2026-07-06T22:46:45.213871Z","submitted_at":"2026-02-23T06:45:19Z","title":"Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T20:56:06.005832Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2602.19549"},"observation_digest":"sha256:6ee123d4e60c9c935a7e4a7bca5aac9c5a13e557a6876e369d9c202bef13535e","observation_id":"3c1b6432-73f9-401c-802b-7b16d1f21eb3","resolution":{"observed_at":"2026-05-15T20:56:37.052208Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":"2409.14683","doi":"10.48550/arxiv.2409.14683","metadata_source":"pith","pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683","venue":"cs.IR","work_id":"c67f47d9-b9f5-4e7f-9b40-0e076fa61c4a","year":2024},"citing_paper":{"arxiv_id":"2603.09933","last_updated":"2026-05-09T17:39:23Z","snapshot_observed_at":"2026-08-03T01:46:35.227744Z","submitted_at":"2026-03-10T17:28:25Z","title":"A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-15T13:09:26.984905Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2603.09933"},"observation_digest":"sha256:a182ecbbbc43dff204c657b6d1df16734660263d7767db5a0c376abee2c685fb","observation_id":"4629f4ab-9395-4688-9aa2-84aa6f85e993","resolution":{"observed_at":"2026-05-15T13:10:00.748083Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":"2409.14683","doi":"10.48550/arxiv.2409.14683","metadata_source":"pith","pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683","venue":"cs.IR","work_id":"c67f47d9-b9f5-4e7f-9b40-0e076fa61c4a","year":2024},"citing_paper":{"arxiv_id":"2604.10167","last_updated":"2026-04-11T11:31:11Z","snapshot_observed_at":"2026-07-06T22:58:51.931478Z","submitted_at":"2026-04-11T11:31:11Z","title":"Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T15:26:44.498777Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2604.10167"},"observation_digest":"sha256:a753d993f30a8e2510fab23a54baa0e2e5c4a6aaa6e201aa05ecacb85579c4c2","observation_id":"92cd8923-4b63-4e6a-86a2-df5d9ec90523","resolution":{"observed_at":"2026-05-11T10:31:04.456867Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":"2409.14683","doi":"10.48550/arxiv.2409.14683","metadata_source":"pith","pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683","venue":"cs.IR","work_id":"c67f47d9-b9f5-4e7f-9b40-0e076fa61c4a","year":2024},"citing_paper":{"arxiv_id":"2605.00646","last_updated":"2026-05-01T13:28:09Z","snapshot_observed_at":"2026-07-06T23:14:01.852096Z","submitted_at":"2026-05-01T13:28:09Z","title":"A Replicability Study of XTR","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-09T18:26:55.357047Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2605.00646"},"observation_digest":"sha256:5b2f0fba54a03f5345cdb98afa89c798a24478e4f919c8cd05dee28882118322","observation_id":"402650fa-6ac3-45cb-a941-f87287e3b7d6","resolution":{"observed_at":"2026-05-11T16:16:06.144429Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":"2409.14683","doi":"10.48550/arxiv.2409.14683","metadata_source":"pith","pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683","venue":"cs.IR","work_id":"c67f47d9-b9f5-4e7f-9b40-0e076fa61c4a","year":2024},"citing_paper":{"arxiv_id":"2607.05927","last_updated":"2026-07-07T07:31:05Z","snapshot_observed_at":"2026-07-31T15:56:18.127653Z","submitted_at":"2026-07-07T07:31:05Z","title":"CMDR: Contextual Multimodal Document Retrieval","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T20:30:59.126121Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2607.05927"},"observation_digest":"sha256:baa9091466e6887a7c4d1f8115e039758d7109b41f7fa2f9e1f8a55422fbaf04","observation_id":"ea8d1d5c-ae32-4ea3-a765-013bcb007140","resolution":{"observed_at":"2026-07-08T20:35:34.368334Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":"2409.14683","doi":"10.48550/arxiv.2409.14683","metadata_source":"pith","pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reducing the footprint of multi-vector retrieval with minimal per- formance impact via token pooling.arXiv preprint arXiv:2409.14683","venue":"cs.IR","work_id":"c67f47d9-b9f5-4e7f-9b40-0e076fa61c4a","year":2024},"citing_paper":{"arxiv_id":"2607.06036","last_updated":"2026-07-07T09:12:46Z","snapshot_observed_at":"2026-07-10T23:17:32.388682Z","submitted_at":"2026-07-07T09:12:46Z","title":"Learn to Pool: Lightweight Fine-Tuning for Flexible Multi-Vector Compression","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T18:45:34.929157Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2607.06036"},"observation_digest":"sha256:46a40eaa0fc16dfab6226e175e206b35b04cb93021f8eea68cc1ccafc3719b1b","observation_id":"78f05d26-a9e9-4da7-a40d-932d6e80f55a","resolution":{"observed_at":"2026-07-08T18:55:28.216337Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14683","snapshot_observed_at":"2026-08-04T01:32:11.741310Z","title":"Formal, T.; Piwowarski, B.; and Clinchant, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00065","last_updated":"2026-07-29T01:37:45Z","snapshot_observed_at":"2026-08-04T04:16:26.192664Z","submitted_at":"2026-07-29T01:37:45Z","title":"H+ Embedding: Harmonizing Global and Token-Level Retrieval with Context-Dependent Phrases","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T01:32:11.741310Z"},"links":{"cited_paper":"/paper/2409.14683","citing_paper":"/paper/2608.00065"},"observation_digest":"sha256:57e7024dedcc955b5d34f335089847ee5e55a09d9692f0ab651d0cb134f68131","observation_id":"e77672dd-9128-4977-a044-59d8adff7561","resolution":{"observed_at":"2026-08-04T01:32:11.741310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.14683/citation-record","integrity":"/paper/2409.14683/integrity","json":"/paper/2409.14683/citation-record.json","paper":"/paper/2409.14683"},"outbound":[],"paper":{"arxiv_id":"2409.14683","last_updated":"2024-09-23T03:12:43Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T19:19:37.350445Z","submitted_at":"2024-09-23T03:12:43Z","title":"Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling"},"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":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2409.14683."}