{"as_of":"2026-08-04T09:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a1ff85a4b02a75f75cc84cd92b45d30f5180572e542a95fb0bd9cd9010dfc012","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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":"2026-05-17T00:04:13.707931Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-17T00:08:43.783077Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.02562","last_updated":"2025-02-04T18:37:17Z","snapshot_observed_at":"2026-08-02T18:33:53.297441Z","submitted_at":"2025-02-04T18:37:17Z","title":"Learning the RoPEs: Better 2D and 3D Position Encodings with STRING","version":1},"cited_work":{"arxiv_id":"2502.02562","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.02562","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning the ropes: Better 2d and 3d position encodings with string.arXiv preprint arXiv:2502.02562","venue":null,"work_id":"1e1e309f-439d-4d78-a5a4-345c1686c549","year":2026},"citing_paper":{"arxiv_id":"2512.07805","last_updated":"2026-05-13T18:33:36Z","snapshot_observed_at":"2026-07-06T22:38:08.821098Z","submitted_at":"2025-12-08T18:39:13Z","title":"Group Representational Position Encoding","version":6},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-17T00:04:13.707931Z"},"links":{"cited_paper":"/paper/2502.02562","citing_paper":"/paper/2512.07805"},"observation_digest":"sha256:5ef341114a2a216f2c50094511c566a165a09a23e69c304e1e5393945f5cd5f3","observation_id":"cc58e1d0-925c-4e5b-b85e-b14dff6834c3","resolution":{"observed_at":"2026-05-17T00:08:43.785650Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.02562","last_updated":"2025-02-04T18:37:17Z","snapshot_observed_at":"2026-08-02T18:33:53.297441Z","submitted_at":"2025-02-04T18:37:17Z","title":"Learning the RoPEs: Better 2D and 3D Position Encodings with STRING","version":1},"cited_work":{"arxiv_id":"2502.02562","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.02562","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning the ropes: Better 2d and 3d position encodings with string.arXiv preprint arXiv:2502.02562","venue":null,"work_id":"1e1e309f-439d-4d78-a5a4-345c1686c549","year":2026},"citing_paper":{"arxiv_id":"2602.00937","last_updated":"2026-05-06T16:54:58Z","snapshot_observed_at":"2026-08-02T08:57:24.060251Z","submitted_at":"2026-01-31T23:32:54Z","title":"CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-16T08:24:44.943709Z"},"links":{"cited_paper":"/paper/2502.02562","citing_paper":"/paper/2602.00937"},"observation_digest":"sha256:3320e333bd592a586ff04b908df73b6aad6ec3da50f2738e93f3fcd8a46a3d34","observation_id":"ee44d256-fdd5-4292-9a30-5b5d2139851e","resolution":{"observed_at":"2026-05-16T08:27:36.885411Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.02562","last_updated":"2025-02-04T18:37:17Z","snapshot_observed_at":"2026-08-02T18:33:53.297441Z","submitted_at":"2025-02-04T18:37:17Z","title":"Learning the RoPEs: Better 2D and 3D Position Encodings with STRING","version":1},"cited_work":{"arxiv_id":"2502.02562","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.02562","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning the ropes: Better 2d and 3d position encodings with string.arXiv preprint arXiv:2502.02562","venue":null,"work_id":"1e1e309f-439d-4d78-a5a4-345c1686c549","year":2026},"citing_paper":{"arxiv_id":"2605.12491","last_updated":"2026-05-12T17:59:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T17:59:26Z","title":"Elastic Attention Cores for Scalable Vision Transformers","version":1},"reference_index":157,"source":"pdf_text","source_observed_at":"2026-05-13T06:02:40.158866Z"},"links":{"cited_paper":"/paper/2502.02562","citing_paper":"/paper/2605.12491"},"observation_digest":"sha256:985bc9035b38e505755a198404454b58c1734ba3c96bf5f3f66b36adcbda291e","observation_id":"ee280d7c-7ee5-410c-984d-9481b1a87167","resolution":{"observed_at":"2026-05-13T06:07:22.586582Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.02562/citation-record","integrity":"/paper/2502.02562/integrity","json":"/paper/2502.02562/citation-record.json","paper":"/paper/2502.02562"},"outbound":[],"paper":{"arxiv_id":"2502.02562","last_updated":"2025-02-04T18:37:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T18:33:53.297441Z","submitted_at":"2025-02-04T18:37:17Z","title":"Learning the RoPEs: Better 2D and 3D Position Encodings with STRING"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.02562."}