{"as_of":"2026-08-14T23:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a9024fd7042f7bd0c322c172207d37e751d16caaa6fda451902e8bf8e59f5f1f","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:48:12.192818Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:39:22.782837Z","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":"2026-07-03T10:27:56.767611Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-08-06T16:39:22.782837Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.12952","last_updated":"2025-07-17T09:46:43Z","snapshot_observed_at":"2026-08-13T22:32:46.335712Z","submitted_at":"2025-07-17T09:46:43Z","title":"LoViC: Efficient Long Video Generation with Context Compression","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T16:39:22.782837Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2507.12952"},"observation_digest":"sha256:ded53eb9cd7c144e61e5e2c44909dd2621a2b4e897781cce2be5afe2528b5e70","observation_id":"4bd4bfc5-c69f-40ec-bfd0-22be3e54ff57","resolution":{"observed_at":"2026-08-06T16:39:22.782837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":"2505.17574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-07-03T10:27:56.767611Z","title":"Inflvg: Reinforce inference-time consistent long video generation with grpo","venue":null,"work_id":"55a25473-20b7-4c79-909c-e009be843831","year":2025},"citing_paper":{"arxiv_id":"2509.08827","last_updated":"2025-10-09T17:08:52Z","snapshot_observed_at":"2026-08-06T15:38:05.011922Z","submitted_at":"2025-09-10T17:59:43Z","title":"A Survey of Reinforcement Learning for Large Reasoning Models","version":3},"reference_index":136,"source":"arxiv_source","source_observed_at":"2026-05-18T00:02:24.352947Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2509.08827"},"observation_digest":"sha256:df7c642dbc8cf7bc66bdfa677842fbcd02807d489f829b86a345d23ff90d5e61","observation_id":"d904a7ee-70fa-4323-97c0-50bd7753bb7a","resolution":{"observed_at":"2026-05-18T00:02:25.364460Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":"2505.17574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-07-03T10:27:56.767611Z","title":"Inflvg: Reinforce inference-time consistent long video generation with grpo","venue":null,"work_id":"55a25473-20b7-4c79-909c-e009be843831","year":2025},"citing_paper":{"arxiv_id":"2510.02283","last_updated":"2025-10-02T17:55:42Z","snapshot_observed_at":"2026-08-13T04:00:21.942422Z","submitted_at":"2025-10-02T17:55:42Z","title":"Self-Forcing++: Towards Minute-Scale High-Quality Video Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-15T22:39:53.995700Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2510.02283"},"observation_digest":"sha256:b15bf16f917a0e08c25d5873121601ac996e2a228f4ab14bff810f8d8a77b905","observation_id":"e192608e-ab3e-4979-8331-d0842264beab","resolution":{"observed_at":"2026-05-15T22:39:54.338782Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-08-03T20:36:05.640778Z","title":"Inflvg: Reinforce inference-time con- sistent long video generation with grpo.arXiv preprint arXiv:2505.17574, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.19356","last_updated":"2026-07-17T04:00:04Z","snapshot_observed_at":"2026-08-08T13:36:41.910465Z","submitted_at":"2025-11-24T17:56:03Z","title":"Rethinking Reward Signals in Video GRPO: When Scores Become Targets","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T20:36:05.640778Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2511.19356"},"observation_digest":"sha256:1354815bb2690a5ee75c47b273c9dae32d87c1fa2aa03fad6db1708d4ffcf3a3","observation_id":"c372b29d-e85b-44d5-88db-1a97d8c7edca","resolution":{"observed_at":"2026-08-03T20:36:05.640778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":"2505.17574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-07-03T10:27:56.767611Z","title":"Inflvg: Reinforce inference-time consistent long video generation with grpo","venue":null,"work_id":"55a25473-20b7-4c79-909c-e009be843831","year":2025},"citing_paper":{"arxiv_id":"2512.04678","last_updated":"2025-12-28T11:15:39Z","snapshot_observed_at":"2026-08-04T14:52:25.854038Z","submitted_at":"2025-12-04T11:12:13Z","title":"Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T18:17:54.943863Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2512.04678"},"observation_digest":"sha256:b4dd36fd58792d9c16af31401fb78c48886e3af22982f8b64082cea1569b728e","observation_id":"50b465a4-ea62-4fcb-a01c-2c9c5c6f5c2f","resolution":{"observed_at":"2026-05-16T18:17:55.131993Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":"2505.17574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-07-03T10:27:56.767611Z","title":"Inflvg: Reinforce inference-time consistent long video generation with grpo","venue":null,"work_id":"55a25473-20b7-4c79-909c-e009be843831","year":2025},"citing_paper":{"arxiv_id":"2605.18733","last_updated":"2026-05-18T17:54:34Z","snapshot_observed_at":"2026-08-01T05:47:01.861403Z","submitted_at":"2026-05-18T17:54:34Z","title":"Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-20T11:22:27.209556Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2605.18733"},"observation_digest":"sha256:c25872a7fdc7260b0867797c8ec75ee1e7d9924238e69ba8d4a18939fc4c07e9","observation_id":"e2c97f44-c015-465b-ae07-4894159cffb1","resolution":{"observed_at":"2026-05-20T11:23:13.993536Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":"2505.17574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-07-03T10:27:56.767611Z","title":"Inflvg: Reinforce inference-time consistent long video generation with grpo","venue":null,"work_id":"55a25473-20b7-4c79-909c-e009be843831","year":2025},"citing_paper":{"arxiv_id":"2606.10671","last_updated":"2026-08-04T12:43:00Z","snapshot_observed_at":"2026-08-07T23:11:38.667750Z","submitted_at":"2026-06-09T10:22:18Z","title":"FadeMem: Distance-Aware Memory Consolidation for Autoregressive Video Diffusion","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-27T13:44:44.550033Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2606.10671"},"observation_digest":"sha256:15c7fe5dfaef75588131595aeec1a84ed87e5e651a30d580a5e895c56afa9b05","observation_id":"43914257-b9b6-4d58-bb64-c065bb7ba83b","resolution":{"observed_at":"2026-07-03T04:37:37.472066Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"cited_work":{"arxiv_id":"2505.17574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17574","snapshot_observed_at":"2026-07-03T10:27:56.767611Z","title":"Inflvg: Reinforce inference-time consistent long video generation with grpo","venue":null,"work_id":"55a25473-20b7-4c79-909c-e009be843831","year":2025},"citing_paper":{"arxiv_id":"2606.11969","last_updated":"2026-06-10T11:49:54Z","snapshot_observed_at":"2026-07-06T23:50:58.297354Z","submitted_at":"2026-06-10T11:49:54Z","title":"SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T10:00:35.608696Z"},"links":{"cited_paper":"/paper/2505.17574","citing_paper":"/paper/2606.11969"},"observation_digest":"sha256:a493b427725c45c77147bfaad5edb0a50ddf9183d046e3860b1ea4ecb0124e6d","observation_id":"2dd8ae2e-f8fa-463f-bf94-8d419bcec98d","resolution":{"observed_at":"2026-07-03T10:27:56.769086Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.17574/citation-record","integrity":"/paper/2505.17574/integrity","json":"/paper/2505.17574/citation-record.json","paper":"/paper/2505.17574"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:16.554285Z","title":null,"venue":null,"work_id":"a8a853bd-05f8-4361-9302-d54a9f47c49c","year":2021},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:07.713652Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:c90c2b12be42955900d587b8449bc9060166b3fbc6a88bcbd80f2197162ec70d","observation_id":"2992c412-0e56-4cc7-8428-79442e4b75a0","resolution":{"observed_at":"2026-08-07T14:48:16.683802Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:16.397654Z","title":null,"venue":null,"work_id":"44fa160c-73bb-4985-8324-34d84bccb396","year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:07.788418Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:449a3ce626967a0459e03a9b40aa1ae7a351445aeb1167fa05831962d5f76bfa","observation_id":"96f1c571-8e5b-4b3e-9ff4-ed6b09f4f478","resolution":{"observed_at":"2026-08-07T14:48:16.471255Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-08-14T04:17:22.593941Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-07T14:48:07.902375Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:07.902375Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:7365e77698d73b6393656abe2e0d26da3c5ebe079655204de949f28e64f37d7e","observation_id":"97889c1a-b692-48e3-96d0-ca459a476688","resolution":{"observed_at":"2026-08-07T14:48:07.902375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13301","last_updated":"2024-01-04T19:11:25Z","snapshot_observed_at":"2026-08-09T16:20:23.732146Z","submitted_at":"2023-05-22T17:57:41Z","title":"Training Diffusion Models with Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13301","snapshot_observed_at":"2026-08-07T14:48:08.017797Z","title":"Black, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.017797Z"},"links":{"cited_paper":"/paper/2305.13301","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:2f2f80db1e4fb68b964c27b74b8dd505631e7022fe8ad6588d52309acdd4f692","observation_id":"621ef235-9fd3-4b01-8331-f094be001070","resolution":{"observed_at":"2026-08-07T14:48:08.017797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:16.237279Z","title":"Brooks, B","venue":null,"work_id":"4034a663-1e77-48ac-846b-d6a4dd361e8d","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.116957Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:d6214c082deb7927e18940a3a50b9ddb57cf13a0c24cd81bfcb5e7712e0e0995","observation_id":"ab706d1c-0034-4f3f-a3db-f6147e930f38","resolution":{"observed_at":"2026-08-07T14:48:16.309909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09019","last_updated":"2025-01-15T18:59:15Z","snapshot_observed_at":"2026-08-14T23:27:30.337362Z","submitted_at":"2025-01-15T18:59:15Z","title":"Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09019","snapshot_observed_at":"2026-08-07T14:48:08.228675Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.228675Z"},"links":{"cited_paper":"/paper/2501.09019","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:5bdf4ea4a38a5ee1f68e395563ac903a513973de21ae001c5b402ec32b159610","observation_id":"3a78380b-3aaf-4b65-b6c2-933af9e9b6c1","resolution":{"observed_at":"2026-08-07T14:48:08.228675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:16.033129Z","title":null,"venue":null,"work_id":"830dfcdc-42dc-4fac-b2b1-b4a548a83f7f","year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.311106Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:3332346b18677b54df32197eb648bb441913759a838439fe81f571a93cfb2509","observation_id":"fca0ef34-5ba9-4492-a411-3d5445e977e4","resolution":{"observed_at":"2026-08-07T14:48:16.114095Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:08.400395Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.400395Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:62c17b8bab45dd8b9aefe56483f74250a404112ecaf720d7155fffb566a5e575","observation_id":"ead5c5a5-776a-42ed-a1bd-e0bd3ee5221a","resolution":{"observed_at":"2026-08-07T14:48:08.400395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:15.834381Z","title":null,"venue":null,"work_id":"56e03de6-7011-409e-87a6-056ae98201b3","year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.499508Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:4039a35a0c937085a1099c881186b3b3e2337c13685d965daeff3af375c12e5f","observation_id":"30cb1b6f-bab8-4bb1-9d90-61dede182409","resolution":{"observed_at":"2026-08-07T14:48:15.972892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:15.705052Z","title":null,"venue":null,"work_id":"e8b06c7b-cb47-43f2-ba8b-0ddde9449761","year":2019},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.565827Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:a555fe90254e3604bac32599bbeedd300a39ce94e7062455badd6fd1da37f42e","observation_id":"6fecfc33-e873-4d60-b223-b3fdd97ec7df","resolution":{"observed_at":"2026-08-07T14:48:15.759191Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:15.511891Z","title":"Esser, S","venue":null,"work_id":"c092576b-b743-4827-9072-53f201aecd68","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.668229Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:782df0a5f265e6c8bef32e9573abdcba1ac4fee08d38cec152bea08e7114ae05","observation_id":"3eb389c5-2960-403f-9cba-98ea14271106","resolution":{"observed_at":"2026-08-07T14:48:15.616534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:15.438578Z","title":null,"venue":null,"work_id":"12efd35e-d801-49a5-a681-6b5011b4aa12","year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.722181Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:c521718d1aaf42472f9b06a29e1e7b0c2ad70d70ba2497eaeaecc83c029c2e95","observation_id":"09774fdc-628d-4b7e-ae16-000c60b47843","resolution":{"observed_at":"2026-08-07T14:48:15.477144Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11633","last_updated":"2024-09-09T02:17:12Z","snapshot_observed_at":"2026-08-12T23:21:10.918169Z","submitted_at":"2024-07-16T11:55:23Z","title":"Scaling Diffusion Transformers to 16 Billion Parameters","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.11633","snapshot_observed_at":"2026-08-07T14:48:08.836252Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.836252Z"},"links":{"cited_paper":"/paper/2407.11633","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:f80f655aadba9a84315aab1e1c0c71b64b69ca0cb848b61beabda25ba7c125b5","observation_id":"0457c2e9-8435-4c79-a35c-a4b93868fea5","resolution":{"observed_at":"2026-08-07T14:48:08.836252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15252","last_updated":"2024-10-14T04:08:53Z","snapshot_observed_at":"2026-08-12T23:37:24.872455Z","submitted_at":"2024-06-21T15:43:46Z","title":"VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15252","snapshot_observed_at":"2026-08-07T14:48:08.914750Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.914750Z"},"links":{"cited_paper":"/paper/2406.15252","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:fb7f1deaeaa84f5d71027387aea0db408b0c67be1ab42fba9496b4cd1c51d3f2","observation_id":"97a87251-19a4-4abb-a3fb-36b2e4e20e9d","resolution":{"observed_at":"2026-08-07T14:48:08.914750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:08.984898Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:08.984898Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:d612437f72092fc05ce588068743c881d9b25e041ffb3aaceaa406f42adb2b9f","observation_id":"1f3901a1-7746-4351-9374-9b33f55ea4a4","resolution":{"observed_at":"2026-08-07T14:48:08.984898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06749","last_updated":"2026-02-28T21:10:52Z","snapshot_observed_at":"2026-08-07T18:44:26.813869Z","submitted_at":"2025-03-09T20:06:45Z","title":"Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06749","snapshot_observed_at":"2026-08-07T14:48:09.054578Z","title":"Huang, B","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.054578Z"},"links":{"cited_paper":"/paper/2503.06749","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:067acd38b771a82fda5903f4effcd0d5bb86a05e5742cbeb509a21581a265871","observation_id":"b2bbd1a9-c822-4367-9aed-12c1c2bc1f1a","resolution":{"observed_at":"2026-08-07T14:48:09.054578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11473","last_updated":"2024-11-03T12:40:41Z","snapshot_observed_at":"2026-08-13T00:04:24.814743Z","submitted_at":"2024-05-19T07:48:41Z","title":"FIFO-Diffusion: Generating Infinite Videos from Text without Training","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11473","snapshot_observed_at":"2026-08-07T14:48:09.125642Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.125642Z"},"links":{"cited_paper":"/paper/2405.11473","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:2e07c68766ced8929282208563bf8d1b56ee644e5e684191b58d1156730b580e","observation_id":"9bcd3e67-01fa-4122-853a-305b21dd47d4","resolution":{"observed_at":"2026-08-07T14:48:09.125642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:15.281462Z","title":"Kirstain, A","venue":null,"work_id":"b95d1b98-6754-431a-8543-bf2bb541155d","year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.179474Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:95f866317805e2c23579a6fdc4cff19bf9c960bca4a7ab80f39cf0c93680fc0f","observation_id":"f0458846-a0b0-409c-b449-63c5623281ba","resolution":{"observed_at":"2026-08-07T14:48:15.360303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:15.152494Z","title":"Lab and T","venue":null,"work_id":"be8a9471-507e-4f37-bee8-ac38a634308d","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.231383Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:e86dd42d7b8d286a165374b7305cc737e790a141021015b5751fbf737c1a9b8a","observation_id":"78e3ad1d-f551-494c-a43b-fc366df97e5b","resolution":{"observed_at":"2026-08-07T14:48:15.210865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:14.963602Z","title":null,"venue":null,"work_id":"1449b5c2-6974-4ef8-93ae-70c3c543da03","year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.289317Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:ac2ebe128702684b51ddd3a30dfa04075834372a98bb127a25fc7f86ace5632d","observation_id":"184b5dd9-5cee-454e-b0c8-b3381abe06ad","resolution":{"observed_at":"2026-08-07T14:48:15.037502Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:14.879483Z","title":null,"venue":null,"work_id":"f268b941-659b-449d-8774-de73ef686fff","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.356220Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:1757adafc72cb90e1e3a44b30b85f1983e0652c9984435f55374f1d040dcae43","observation_id":"dd6f215c-1488-44ef-a370-6c90e915e096","resolution":{"observed_at":"2026-08-07T14:48:14.919427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-02T18:24:58.914589Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-07T14:48:09.400739Z","title":"Lipman, R","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.400739Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:1f6aee6cfeec3aacfdb1af096a52006bd4c84141d402a7596cd85ea4e4dfe262","observation_id":"899196bb-15bf-4b92-aa6e-8ab91ff44705","resolution":{"observed_at":"2026-08-07T14:48:09.400739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13918","last_updated":"2025-10-27T08:22:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-23T18:55:41Z","title":"Improving Video Generation with Human Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.13918","snapshot_observed_at":"2026-08-07T14:48:09.468521Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.468521Z"},"links":{"cited_paper":"/paper/2501.13918","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:5cdc895457bd963ddddedfd92e4e07d182166a846e19d12b72fecc11d41ef6dc","observation_id":"8a6987fb-f55f-4716-8817-5528a26b9ecd","resolution":{"observed_at":"2026-08-07T14:48:09.468521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.02341","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:12.838425Z","title":null,"venue":null,"work_id":"8e2258a2-2487-4463-bb10-eed6fadb48b1","year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.533379Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:531e44712b21ba09e21d4a2416704810cf608659df7cdd0a62f358b6153b526c","observation_id":"150d50bd-5080-4220-ae67-f398c950237d","resolution":{"observed_at":"2026-08-07T14:48:12.927713Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:09.599373Z","title":"Muennighoff, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.599373Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:0497b7f706204e4ce3aeb3d32f730444fd90816e20de9851e8533b3bc9b1cc5b","observation_id":"65f08d13-fbc6-43f3-9c00-aa4a43101651","resolution":{"observed_at":"2026-08-07T14:48:09.599373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:14.722510Z","title":"Paraperas Papantoniou, A","venue":null,"work_id":"30084bf0-5e9b-44e1-a7b6-48028222e1cd","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.670896Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:b6653beb235cbc9b6f0621e25cb96296e89a1f96c38ebaef6ae696f81df93bf8","observation_id":"22fa4ec9-b844-4ea5-8ac3-7aa408a6c908","resolution":{"observed_at":"2026-08-07T14:48:14.776016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:09.745341Z","title":"Peebles and S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.745341Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:5cd3947c9c370632c13f4de972642ab90aa7c2faa47f813f28a9e4d23abf8da4","observation_id":"9e18586d-a29b-4841-b071-91970e2a0a77","resolution":{"observed_at":"2026-08-07T14:48:09.745341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15169","last_updated":"2024-01-30T16:44:20Z","snapshot_observed_at":"2026-08-13T05:42:52.392821Z","submitted_at":"2023-10-23T17:59:58Z","title":"FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15169","snapshot_observed_at":"2026-08-07T14:48:09.802522Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.802522Z"},"links":{"cited_paper":"/paper/2310.15169","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:7f182e0abe3ce1049f88d097a446da5d4cb8073e48abc33d63e66a9676f4bd44","observation_id":"26353fbc-7a4c-45d5-ba7f-a4fc98b9fa01","resolution":{"observed_at":"2026-08-07T14:48:09.802522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:09.897310Z","title":"Rafailov, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.897310Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:ad14b710a71d2cbb505af858180fa95e3cf0866075671f6fbf078670c8064b64","observation_id":"a853100f-bded-479c-84d2-07dca94b145f","resolution":{"observed_at":"2026-08-07T14:48:09.897310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.05139","last_updated":"2019-01-28T05:15:30Z","snapshot_observed_at":"2026-08-14T18:28:40.496406Z","submitted_at":"2018-09-13T18:43:55Z","title":"Choosing to Rank","version":2},"cited_work":{"arxiv_id":"1809.05139","doi":null,"metadata_source":"pith","pith_arxiv_id":"1809.05139","snapshot_observed_at":"2026-08-07T14:48:12.509185Z","title":"Choosing to Rank","venue":"cs.LG","work_id":"ec3e5c1e-64d0-43d4-8b51-e64cbaf23542","year":2018},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:09.986844Z"},"links":{"cited_paper":"/paper/1809.05139","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:f8ceb2ddd011fdfde80c925caada43c1c8e59c2e0fd29de44a8cce69f694acfb","observation_id":"812c22c1-8f3f-420d-9e25-78ac3b6b5219","resolution":{"observed_at":"2026-08-07T14:48:12.660074Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:14.621234Z","title":"Schuhmann, R","venue":null,"work_id":"af010f70-a890-481d-a4ff-28ab88d5529f","year":2022},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.062645Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:3bb6f2e4059b3f72b975ab15a1b1eabf1760b7910576a8d4caeb08f95a909de5","observation_id":"c43682f4-cfc9-4e70-af30-af2362e3b219","resolution":{"observed_at":"2026-08-07T14:48:14.648634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-07T14:48:10.096904Z","title":"Schulman, F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.096904Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:18cd83e2a267ca1e819d2ec7c5b08e27c96a381fd5d985fdc1f306190f5d2019","observation_id":"2d5c1b40-9005-495f-809f-22c0f9e08882","resolution":{"observed_at":"2026-08-07T14:48:10.096904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-07T14:48:10.102328Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.102328Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:13f53a0864aed8bbb7fa87a96c94315a56e83a869a63f167a97b87f3f410ec92","observation_id":"ba3e49e7-1c75-4bd2-a1bd-af145a297abd","resolution":{"observed_at":"2026-08-07T14:48:10.102328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-07T14:48:10.228208Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.228208Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:a0b5b60e011519b5d188756b89eb56b39e21cdf30b2369bcfb5066f2b1ba6f72","observation_id":"b88011b1-b026-4799-b9c4-b8be48b79379","resolution":{"observed_at":"2026-08-07T14:48:10.228208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:14.394526Z","title":null,"venue":null,"work_id":"8f917bf7-5fda-49fa-b474-490faebf0849","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.447228Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:250538916812c8cceb0a22d421cf1b968baf4c5925c02254ab6f099053f66b99","observation_id":"86c71567-5b05-43cc-94ff-19e770ab81ff","resolution":{"observed_at":"2026-08-07T14:48:14.511431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-07T14:48:10.608279Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.608279Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:30fac2d1a68623675334139b765ed1ca74bf6d4c948100c09f3d2ed865bd7724","observation_id":"ddee057c-3dab-4ba8-ac8f-ccd6586bd4be","resolution":{"observed_at":"2026-08-07T14:48:10.608279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:14.274739Z","title":null,"venue":null,"work_id":"0ab5e3df-ca8b-4929-ad83-d75943200bf5","year":2020},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.745040Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:3372f339aab22fbddd01edb26e1cbdd724128f8eae9c4876e044be9b66dfbe09","observation_id":"b3e9d90c-d218-4e68-98d8-e4a58ffe102b","resolution":{"observed_at":"2026-08-07T14:48:14.309158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:10.845617Z","title":"Wallace, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.845617Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:a0670b1f5bd17826a99974a5b7af3241a41067345a748c7be281c7bf6ae7c516","observation_id":"df2f5743-a8b5-418a-abfa-4d0cc9cf6359","resolution":{"observed_at":"2026-08-07T14:48:10.845617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:14.119318Z","title":null,"venue":null,"work_id":"abdb5289-3a0d-4f88-aa46-f9c195e3f8ad","year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:10.955945Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:6220db995054c1adc9b5dc1f00763e33df9d9f3b81f6bcbc4bb3c29f7a079b53","observation_id":"9359997c-d1eb-46fc-bc36-e785a175ab94","resolution":{"observed_at":"2026-08-07T14:48:14.183903Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06942","last_updated":"2024-01-04T05:00:34Z","snapshot_observed_at":"2026-07-06T15:53:46.393481Z","submitted_at":"2023-07-13T17:58:32Z","title":"InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06942","snapshot_observed_at":"2026-08-07T14:48:11.064681Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.064681Z"},"links":{"cited_paper":"/paper/2307.06942","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:23ddb38c70df58446b6fe3182ea474e87fb6a638f5235eef769da240047490e1","observation_id":"fde07f22-2d32-4440-ba1c-660bc9eb2124","resolution":{"observed_at":"2026-08-07T14:48:11.064681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:13.976937Z","title":null,"venue":null,"work_id":"dc97e6c2-bd8e-42bf-b8a5-dfcefb3a909d","year":2025},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.195060Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:0543840db634a43045fb14674c7be40d53fe48f355bf82e68dba9145044c0e90","observation_id":"2fbd7f9c-8dfb-47f9-88a2-83c1a88b7c19","resolution":{"observed_at":"2026-08-07T14:48:14.011788Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09341","last_updated":"2023-09-25T08:19:23Z","snapshot_observed_at":"2026-08-14T02:46:25.655503Z","submitted_at":"2023-06-15T17:59:31Z","title":"Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09341","snapshot_observed_at":"2026-08-07T14:48:11.265337Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.265337Z"},"links":{"cited_paper":"/paper/2306.09341","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:7ad052a1f7ba51e8fc682a4c3466e347c11a8b21dc85e38577798be826c73121","observation_id":"7beafc03-b777-4e38-82fd-e1bb283cbe7d","resolution":{"observed_at":"2026-08-07T14:48:11.265337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:13.854201Z","title":null,"venue":null,"work_id":"942b42f8-4e5d-4cad-a44c-644152fc7613","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.441109Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:ae2a2ba649ca24b08b9a8ee7ef31911ee98bf3e372b7f60897e31e7db5cbb5c4","observation_id":"886739a5-3975-41d5-93f7-d8c47e3315a0","resolution":{"observed_at":"2026-08-07T14:48:13.924388Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:13.688399Z","title":null,"venue":null,"work_id":"cdb8d5b3-27e8-4b8b-a8cd-0e0a33713b79","year":2023},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.512155Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:3e2135367e48ea469c2ee2ceb454a4d51bc951e6d57aac834cf73437e7ad7c34","observation_id":"ac4cb9f8-3eaa-4ef7-90c2-52db47e0607b","resolution":{"observed_at":"2026-08-07T14:48:13.750860Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:13.530431Z","title":null,"venue":null,"work_id":"22501001-f6a2-4871-b089-2d7bcb9f5f7d","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.616839Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:b36ec571c0fd908f5bfc26b250675deb75ab90a9c51b2a9531bf0f393b0b46b6","observation_id":"2d41310e-8f23-422a-a11d-44069b4fcd02","resolution":{"observed_at":"2026-08-07T14:48:13.617243Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06072","last_updated":"2025-03-26T08:33:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-12T11:47:11Z","title":"CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06072","snapshot_observed_at":"2026-08-07T14:48:11.771982Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.771982Z"},"links":{"cited_paper":"/paper/2408.06072","citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:455850a97e67aabba08adcbc2a0046dec74d7d833e2fe9245c5d11626617140b","observation_id":"ad697f24-67e4-4c1e-a048-bb72d45e9ee7","resolution":{"observed_at":"2026-08-07T14:48:11.771982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:11.847385Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.847385Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:88499af3df0a81177026d146aabac65ea06995d97a4a8ac9fa31e8cf5c789d38","observation_id":"865c3e96-02af-4f7a-b154-6e62e342f77a","resolution":{"observed_at":"2026-08-07T14:48:11.847385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:13.380600Z","title":null,"venue":null,"work_id":"96646e9c-5f61-49f7-b2de-7ce498f64ad7","year":2024},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:11.954265Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:1681ce23397d89209b7a8efa4ab84652a1bbf7dd3478c932df58e0d36c5646d6","observation_id":"2b6f7aaa-7179-4fd9-ba5c-0a94ea65d3e0","resolution":{"observed_at":"2026-08-07T14:48:13.435586Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:12.105659Z","title":"Zaheer, G","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:12.105659Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:89f4157abd008cca95004c5f3d28c5d6935b56efc870745cdf49a80deff54d6e","observation_id":"de53c261-ec8c-4fae-be3e-4ac28314ed14","resolution":{"observed_at":"2026-08-07T14:48:12.105659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:48:13.162250Z","title":"0 \" : \" A man play with a dog at the train platform","venue":null,"work_id":"1ab81fce-0e5a-42b3-a2d0-7eb197ce7d00","year":2021},"citing_paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:12.192818Z"},"links":{"citing_paper":"/paper/2505.17574"},"observation_digest":"sha256:de592f91020c5484b9df505d78ceaf11d3301bf090853aa3599e01844b384f2a","observation_id":"e4e291a3-3167-475e-a604-751ac6c0dfac","resolution":{"observed_at":"2026-08-07T14:48:13.264291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.17574","last_updated":"2025-05-23T07:33:25Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T09:20:14.075021Z","submitted_at":"2025-05-23T07:33:25Z","title":"InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":2,"verified_fuzzy":7},"total_outbound_references":50},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 8 inbound Pith citation observations for arXiv:2505.17574."}