{"as_of":"2026-08-12T22:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1375e5d4bfc53070f4c9f4d258f1a93030e57848e7de32c3f8593cd686093e90","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":"2026-08-12T06:34:41.77262+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":"2026-08-12T10:35:22.698742Z","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":"2026-05-22T14:51:42.636472Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10798","snapshot_observed_at":"2026-08-12T10:35:22.698742Z","title":"Mmar: Towards lossless multi-modal auto-regressive prababilistic modeling","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00127","last_updated":"2025-04-16T10:04:24Z","snapshot_observed_at":"2026-08-12T16:02:32.102388Z","submitted_at":"2024-11-28T13:00:38Z","title":"Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T10:35:22.698742Z"},"links":{"cited_paper":"/paper/2410.10798","citing_paper":"/paper/2412.00127"},"observation_digest":"sha256:3a419790d2bb2a8d9ffcea306a2e617a4f216747001e75e2fa4a9a4d2cc569d8","observation_id":"4100c0a2-6b2b-4069-86af-f268553dee02","resolution":{"observed_at":"2026-08-12T10:35:22.698742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10798","snapshot_observed_at":"2026-08-11T21:30:08.588482Z","title":"Mmar: Towards lossless multi-modal auto-regressive prababilistic modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04432","last_updated":"2024-12-05T18:53:04Z","snapshot_observed_at":"2026-08-12T17:25:56.105513Z","submitted_at":"2024-12-05T18:53:04Z","title":"Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-11T21:30:08.588482Z"},"links":{"cited_paper":"/paper/2410.10798","citing_paper":"/paper/2412.04432"},"observation_digest":"sha256:6531f0393aa76e5c9201923a2ee0ff07cb75e3c5d7666e3a0cd3cfbca45a3aaf","observation_id":"fa14b4d0-9b7e-4349-8337-a3f88209eff9","resolution":{"observed_at":"2026-08-11T21:30:08.588482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","version":3},"cited_work":{"arxiv_id":"2410.10798","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10798","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmar: Towards lossless multi-modal auto-regressive probabilistic modeling","venue":null,"work_id":"2c0ab3db-7a62-4cfb-8bb0-8e1f5de84e7e","year":2024},"citing_paper":{"arxiv_id":"2505.05472","last_updated":"2025-05-11T18:47:18Z","snapshot_observed_at":"2026-08-12T22:02:52.918587Z","submitted_at":"2025-05-08T17:58:57Z","title":"Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-17T07:24:04.460276Z"},"links":{"cited_paper":"/paper/2410.10798","citing_paper":"/paper/2505.05472"},"observation_digest":"sha256:c55c471fbaac4e82fd76a2ae7c5c026d6c71ae1a822aec7f235ebfffa9d2090b","observation_id":"ac00cf8d-1bb4-4fa5-9290-9ac8ae7d5007","resolution":{"observed_at":"2026-05-17T07:24:04.724489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","version":3},"cited_work":{"arxiv_id":"2410.10798","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10798","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmar: Towards lossless multi-modal auto-regressive probabilistic modeling","venue":null,"work_id":"2c0ab3db-7a62-4cfb-8bb0-8e1f5de84e7e","year":2024},"citing_paper":{"arxiv_id":"2505.11334","last_updated":"2026-04-27T08:32:51Z","snapshot_observed_at":"2026-08-08T01:02:46.528586Z","submitted_at":"2025-05-16T15:00:46Z","title":"MARRS: Masked Autoregressive Unit-based Reaction Synthesis","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-22T14:48:35.211157Z"},"links":{"cited_paper":"/paper/2410.10798","citing_paper":"/paper/2505.11334"},"observation_digest":"sha256:c2b26502aba33d38a63499fa19820bc8b35bedb1570b2f98bbb1de44d84f1eff","observation_id":"be933c6a-47d1-4879-9002-ecf916ce5d11","resolution":{"observed_at":"2026-05-22T14:51:42.639065Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10798","snapshot_observed_at":"2026-08-07T15:34:55.868975Z","title":"Mmar: Towards lossless multi-modal auto-regressive probabilistic modeling.arXiv:2410.10798, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14682","last_updated":"2025-05-20T17:59:26Z","snapshot_observed_at":"2026-08-07T20:35:28.075030Z","submitted_at":"2025-05-20T17:59:26Z","title":"UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T15:34:55.868975Z"},"links":{"cited_paper":"/paper/2410.10798","citing_paper":"/paper/2505.14682"},"observation_digest":"sha256:60a26657cb6970990a03970cc335d45b09f958a2fd1aefcedbee37707a1a9d90","observation_id":"5292e68c-835e-4792-9d06-564ade5c221a","resolution":{"observed_at":"2026-08-07T15:34:55.868975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","version":3},"cited_work":{"arxiv_id":"2410.10798","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10798","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmar: Towards lossless multi-modal auto-regressive probabilistic modeling","venue":null,"work_id":"2c0ab3db-7a62-4cfb-8bb0-8e1f5de84e7e","year":2024},"citing_paper":{"arxiv_id":"2506.15564","last_updated":"2025-09-22T01:24:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-18T15:39:15Z","title":"Show-o2: Improved Native Unified Multimodal Models","version":3},"reference_index":134,"source":"pdf_text","source_observed_at":"2026-05-12T18:51:15.428692Z"},"links":{"cited_paper":"/paper/2410.10798","citing_paper":"/paper/2506.15564"},"observation_digest":"sha256:2ee5c92818bc55056bdae6bc5f0c62a50dbb766f2387bfaa2c2d45e359d4882a","observation_id":"6e38e7f0-cdbd-49ab-9002-d78ef7322068","resolution":{"observed_at":"2026-05-12T18:51:15.899710Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10798","snapshot_observed_at":"2026-08-04T22:36:08.280450Z","title":"MMAR: towards lossless multi-modal auto-regressive probabilistic modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07295","last_updated":"2026-06-25T06:17:40Z","snapshot_observed_at":"2026-08-04T22:36:03.033298Z","submitted_at":"2025-09-08T23:59:32Z","title":"Reconstruction Alignment Improves Unified Multimodal Models","version":4},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-04T22:36:08.280450Z"},"links":{"cited_paper":"/paper/2410.10798","citing_paper":"/paper/2509.07295"},"observation_digest":"sha256:4c48a89444473369aa245b599e24877ba4bd9fc0e8cfd1287b1fe322d73ad9d2","observation_id":"4a2ab2a2-136d-4092-9e3e-14cbde22ff86","resolution":{"observed_at":"2026-08-04T22:36:08.280450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.10798/citation-record","integrity":"/paper/2410.10798/integrity","json":"/paper/2410.10798/citation-record.json","paper":"/paper/2410.10798"},"outbound":[],"paper":{"arxiv_id":"2410.10798","last_updated":"2025-06-04T07:35:31Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T22:23:27.107761Z","submitted_at":"2024-10-14T17:57:18Z","title":"MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.10798."}