{"as_of":"2026-08-09T17:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b4a92ccd408c1d03e0ee5f72a8af143e7d5ec94b1da8918632189ba0a00d4197","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T12:50:14.710201Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.06213","last_updated":"2024-03-10T13:26:24Z","snapshot_observed_at":"2026-07-06T17:42:16.039458Z","submitted_at":"2024-03-10T13:26:24Z","title":"$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06213","snapshot_observed_at":"2026-08-08T12:50:14.710201Z","title":"Mirzadeh, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07436","last_updated":"2025-02-11T10:24:57Z","snapshot_observed_at":"2026-08-09T12:51:16.416704Z","submitted_at":"2025-02-11T10:24:57Z","title":"Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-08T12:50:14.710201Z"},"links":{"cited_paper":"/paper/2403.06213","citing_paper":"/paper/2502.07436"},"observation_digest":"sha256:93da68ad6063756d68e05c78063655a19419abae3486c45111ec430ea5d16c71","observation_id":"8af8114e-bc56-40e5-9dba-d72d80ca3b10","resolution":{"observed_at":"2026-08-08T12:50:14.710201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06213","last_updated":"2024-03-10T13:26:24Z","snapshot_observed_at":"2026-07-06T17:42:16.039458Z","submitted_at":"2024-03-10T13:26:24Z","title":"$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections","version":1},"cited_work":{"arxiv_id":"2403.06213","doi":"10.48550/arxiv.2403.06213","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2024 , eprint =","venue":"arXiv (Cornell University)","work_id":"9dec13ae-1ae6-4899-b7eb-6a48c3717cf0","year":2024},"citing_paper":{"arxiv_id":"2605.01205","last_updated":"2026-06-02T04:37:07Z","snapshot_observed_at":"2026-08-01T09:43:25.643391Z","submitted_at":"2026-05-02T02:44:12Z","title":"SRA: Span Representation Alignment for Large Language Model Distillation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-09T15:22:14.289423Z"},"links":{"cited_paper":"/paper/2403.06213","citing_paper":"/paper/2605.01205"},"observation_digest":"sha256:1b3525cf096bc1d151f8eb964cf3e78dba51d127cf6215dbc199085869fc6713","observation_id":"5d6a1548-27ab-4af5-8820-cb05e0c6830f","resolution":{"observed_at":"2026-05-09T22:08:57.565204Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06213","last_updated":"2024-03-10T13:26:24Z","snapshot_observed_at":"2026-07-06T17:42:16.039458Z","submitted_at":"2024-03-10T13:26:24Z","title":"$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections","version":1},"cited_work":{"arxiv_id":"2403.06213","doi":"10.48550/arxiv.2403.06213","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2024 , eprint =","venue":"arXiv (Cornell University)","work_id":"9dec13ae-1ae6-4899-b7eb-6a48c3717cf0","year":2024},"citing_paper":{"arxiv_id":"2605.01374","last_updated":"2026-06-02T09:16:00Z","snapshot_observed_at":"2026-07-06T23:14:38.379875Z","submitted_at":"2026-05-02T10:52:49Z","title":"MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-09T14:55:26.285575Z"},"links":{"cited_paper":"/paper/2403.06213","citing_paper":"/paper/2605.01374"},"observation_digest":"sha256:cb5589549b832541cafc53f8644a101e8206a8753839cab4fd9d81e50ec1bf9f","observation_id":"abe62a61-1494-4091-bf1d-16ac24ef60cf","resolution":{"observed_at":"2026-05-09T22:18:58.306019Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06213","last_updated":"2024-03-10T13:26:24Z","snapshot_observed_at":"2026-07-06T17:42:16.039458Z","submitted_at":"2024-03-10T13:26:24Z","title":"$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections","version":1},"cited_work":{"arxiv_id":"2403.06213","doi":"10.48550/arxiv.2403.06213","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2024 , eprint =","venue":"arXiv (Cornell University)","work_id":"9dec13ae-1ae6-4899-b7eb-6a48c3717cf0","year":2024},"citing_paper":{"arxiv_id":"2606.21851","last_updated":"2026-06-20T03:17:29Z","snapshot_observed_at":"2026-08-08T12:39:19.298375Z","submitted_at":"2026-06-20T03:17:29Z","title":"TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-06-26T12:18:01.779039Z"},"links":{"cited_paper":"/paper/2403.06213","citing_paper":"/paper/2606.21851"},"observation_digest":"sha256:ad1cb593a5b0aa5a07b497c48aba9713d6fa2368c77d85fc24eac2bd5790b33b","observation_id":"8a47f023-cb75-4f70-bb45-ceb001163f41","resolution":{"observed_at":"2026-06-26T12:19:27.666495Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.06213/citation-record","integrity":"/paper/2403.06213/integrity","json":"/paper/2403.06213/citation-record.json","paper":"/paper/2403.06213"},"outbound":[],"paper":{"arxiv_id":"2403.06213","last_updated":"2024-03-10T13:26:24Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:42:16.039458Z","submitted_at":"2024-03-10T13:26:24Z","title":"$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.06213."}