{"as_of":"2026-08-11T07:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8eaa5a758a44f35171d9f970ffa2cb569fe42e3f5673d7bd2563c339a63a0a0e","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T20:20:25.564162Z","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":"2026-05-22T23:07:14.534600Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.03708","last_updated":"2025-03-27T11:46:22Z","snapshot_observed_at":"2026-08-10T14:44:54.834009Z","submitted_at":"2025-03-05T17:59:19Z","title":"Rethinking Video Tokenization: A Conditioned Diffusion-based Approach","version":3},"cited_work":{"arxiv_id":"2503.03708","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03708","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Rethinking video tokenization: A conditioned diffusion-based approach","venue":null,"work_id":"54b3efee-582f-44f2-884e-5fd079ed34b3","year":2025},"citing_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-22T23:05:32.595632Z"},"links":{"cited_paper":"/paper/2503.03708","citing_paper":"/paper/2503.20314"},"observation_digest":"sha256:19da093856636809ccbf2545191cf57d18148a19e7dbfc8bb839bd918d37bee5","observation_id":"c322bc3c-cacc-48a8-bdfd-b688fa8d8527","resolution":{"observed_at":"2026-05-22T23:07:14.537697Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03708","last_updated":"2025-03-27T11:46:22Z","snapshot_observed_at":"2026-08-10T14:44:54.834009Z","submitted_at":"2025-03-05T17:59:19Z","title":"Rethinking Video Tokenization: A Conditioned Diffusion-based Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03708","snapshot_observed_at":"2026-08-05T20:20:25.564162Z","title":"Rethinking video tokenization: A conditioned diffusion-based approach.arXiv preprint arXiv:2503.03708, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10858","last_updated":"2025-08-14T17:30:37Z","snapshot_observed_at":"2026-08-07T07:22:47.570469Z","submitted_at":"2025-08-14T17:30:37Z","title":"Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T20:20:25.564162Z"},"links":{"cited_paper":"/paper/2503.03708","citing_paper":"/paper/2508.10858"},"observation_digest":"sha256:8e6be6371bc082e61537bcada9d7e666c91b86bf5e15ca7d08da338bef39cfc2","observation_id":"4ef4f03a-0d38-4567-9a85-67f46d7ba348","resolution":{"observed_at":"2026-08-05T20:20:25.564162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03708","last_updated":"2025-03-27T11:46:22Z","snapshot_observed_at":"2026-08-10T14:44:54.834009Z","submitted_at":"2025-03-05T17:59:19Z","title":"Rethinking Video Tokenization: A Conditioned Diffusion-based Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03708","snapshot_observed_at":"2026-08-05T20:17:51.896432Z","title":"Rethinking video tokenization: A conditioned diffusion-based approach.arXiv preprint arXiv:2503.03708, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10860","last_updated":"2025-08-14T17:31:18Z","snapshot_observed_at":"2026-08-07T19:46:00.567985Z","submitted_at":"2025-08-14T17:31:18Z","title":"From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T20:17:51.896432Z"},"links":{"cited_paper":"/paper/2503.03708","citing_paper":"/paper/2508.10860"},"observation_digest":"sha256:656fa719f5b83766210893ba304393d0d483460db6d4f16323290d0e6d8e8dc2","observation_id":"5bef51d8-dbe6-4c59-81ff-b323adc40ab1","resolution":{"observed_at":"2026-08-05T20:17:51.896432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03708","last_updated":"2025-03-27T11:46:22Z","snapshot_observed_at":"2026-08-10T14:44:54.834009Z","submitted_at":"2025-03-05T17:59:19Z","title":"Rethinking Video Tokenization: A Conditioned Diffusion-based Approach","version":3},"cited_work":{"arxiv_id":"2503.03708","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03708","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Rethinking video tokenization: A conditioned diffusion-based approach","venue":null,"work_id":"54b3efee-582f-44f2-884e-5fd079ed34b3","year":2025},"citing_paper":{"arxiv_id":"2602.13669","last_updated":"2026-04-22T07:41:44Z","snapshot_observed_at":"2026-08-11T04:55:53.338738Z","submitted_at":"2026-02-14T08:32:38Z","title":"EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation","version":5},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-15T22:20:16.320171Z"},"links":{"cited_paper":"/paper/2503.03708","citing_paper":"/paper/2602.13669"},"observation_digest":"sha256:a8216e468a47821e6fc5683a50a0ab9544d026cfcc2e7a66b918c16db974b29a","observation_id":"a55b76f0-0800-4cd2-913b-cb4f0f07a835","resolution":{"observed_at":"2026-05-15T22:20:22.418773Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03708","last_updated":"2025-03-27T11:46:22Z","snapshot_observed_at":"2026-08-10T14:44:54.834009Z","submitted_at":"2025-03-05T17:59:19Z","title":"Rethinking Video Tokenization: A Conditioned Diffusion-based Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03708","snapshot_observed_at":"2026-07-31T01:50:30.707295Z","title":"Rethinking video tokenization: A conditioned diffusion-based approach","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28624","last_updated":"2026-07-30T17:59:46Z","snapshot_observed_at":"2026-08-06T18:18:01.456837Z","submitted_at":"2026-07-30T17:59:46Z","title":"PhiZero: A World Model Built Around Physical Language","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-31T01:50:30.707295Z"},"links":{"cited_paper":"/paper/2503.03708","citing_paper":"/paper/2607.28624"},"observation_digest":"sha256:ab2057a9c66f34eaced13b86adfb573235a55aa93ad7d2aa77a7dc6404248c10","observation_id":"b2bbb2d6-e945-4f6b-8c1c-ea56966c8084","resolution":{"observed_at":"2026-07-31T01:50:30.707295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.03708/citation-record","integrity":"/paper/2503.03708/integrity","json":"/paper/2503.03708/citation-record.json","paper":"/paper/2503.03708"},"outbound":[],"paper":{"arxiv_id":"2503.03708","last_updated":"2025-03-27T11:46:22Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T14:44:54.834009Z","submitted_at":"2025-03-05T17:59:19Z","title":"Rethinking Video Tokenization: A Conditioned Diffusion-based Approach"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.03708."}