{"as_of":"2026-08-04T23:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:719c861065346123edf1e1e15c534a391dfc2a748eeb828b94cf1c47a65f4379","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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":"2026-07-15T10:53:37.186361Z","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":"2026-07-03T00:07:27.937133Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":"2407.04842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-03T00:07:27.937133Z","title":"MJ-bench: Is your multimodal reward model really a good judge for text-to-image generation?","venue":null,"work_id":"8e8d1854-f811-4ebd-ab77-c86df9f7d991","year":2024},"citing_paper":{"arxiv_id":"2412.21059","last_updated":"2026-01-05T02:39:01Z","snapshot_observed_at":"2026-08-03T02:30:08.318253Z","submitted_at":"2024-12-30T16:24:09Z","title":"VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation","version":4},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-05-16T11:49:14.698249Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2412.21059"},"observation_digest":"sha256:fce3c2dca7bb0c560a75cf8ca933119cf10d7ba90b415034e8e569bcec2f4b69","observation_id":"422360ce-b320-4f61-8a50-cb2578cd8c47","resolution":{"observed_at":"2026-05-16T11:49:14.792229Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":"2407.04842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-03T00:07:27.937133Z","title":"MJ-bench: Is your multimodal reward model really a good judge for text-to-image generation?","venue":null,"work_id":"8e8d1854-f811-4ebd-ab77-c86df9f7d991","year":2024},"citing_paper":{"arxiv_id":"2501.09732","last_updated":"2025-01-16T18:30:37Z","snapshot_observed_at":"2026-07-06T20:22:04.328179Z","submitted_at":"2025-01-16T18:30:37Z","title":"Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-20T11:45:17.473970Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2501.09732"},"observation_digest":"sha256:86f3a89286aabfce8ae349a0b71a4774b29ddc704140bf3edc7479a7c9aa0f4d","observation_id":"1cd0ca29-4f88-4a29-bcf7-8ba7cd73054d","resolution":{"observed_at":"2026-05-20T11:45:17.593871Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":"2407.04842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-03T00:07:27.937133Z","title":"MJ-bench: Is your multimodal reward model really a good judge for text-to-image generation?","venue":null,"work_id":"8e8d1854-f811-4ebd-ab77-c86df9f7d991","year":2024},"citing_paper":{"arxiv_id":"2504.12501","last_updated":"2026-08-03T01:47:58Z","snapshot_observed_at":"2026-08-04T22:26:55.426587Z","submitted_at":"2025-04-16T21:36:46Z","title":"Reinforcement Learning from Human Feedback","version":9},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-05-22T19:27:40.991325Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2504.12501"},"observation_digest":"sha256:658ffba2a4d8b0d363c17c5d8b983420cb6e2b684c5dce4d206bb0e3599a27ec","observation_id":"68e66e48-0613-478a-ab79-280991e26280","resolution":{"observed_at":"2026-05-22T19:32:01.150395Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":"2407.04842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-03T00:07:27.937133Z","title":"MJ-bench: Is your multimodal reward model really a good judge for text-to-image generation?","venue":null,"work_id":"8e8d1854-f811-4ebd-ab77-c86df9f7d991","year":2024},"citing_paper":{"arxiv_id":"2506.01937","last_updated":"2026-04-23T14:42:19Z","snapshot_observed_at":"2026-07-06T21:35:12.872021Z","submitted_at":"2025-06-02T17:54:04Z","title":"RewardBench 2: Advancing Reward Model Evaluation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-19T11:18:03.965711Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2506.01937"},"observation_digest":"sha256:229cc690ae1774d62c8cce9e4902e574fc03c7164906c3afd273a0d9843d9171","observation_id":"7c3b14c0-f7b6-4319-aa47-153678ae4b91","resolution":{"observed_at":"2026-05-19T11:22:16.823783Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":"2407.04842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-03T00:07:27.937133Z","title":"MJ-bench: Is your multimodal reward model really a good judge for text-to-image generation?","venue":null,"work_id":"8e8d1854-f811-4ebd-ab77-c86df9f7d991","year":2024},"citing_paper":{"arxiv_id":"2603.11665","last_updated":"2026-04-21T11:59:18Z","snapshot_observed_at":"2026-08-03T00:46:37.430083Z","submitted_at":"2026-03-12T08:32:38Z","title":"Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T12:34:53.596478Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2603.11665"},"observation_digest":"sha256:edb9530ae8abd99b99dcd0cd294f3d23365c0ac9fd6e12f6785427232aed7bb6","observation_id":"5106c447-06e7-4cfb-9866-e4e4c29874e0","resolution":{"observed_at":"2026-05-15T12:35:35.323919Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":"2407.04842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-03T00:07:27.937133Z","title":"MJ-bench: Is your multimodal reward model really a good judge for text-to-image generation?","venue":null,"work_id":"8e8d1854-f811-4ebd-ab77-c86df9f7d991","year":2024},"citing_paper":{"arxiv_id":"2605.16732","last_updated":"2026-05-16T00:52:00Z","snapshot_observed_at":"2026-07-31T16:38:42.574868Z","submitted_at":"2026-05-16T00:52:00Z","title":"DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-19T21:48:35.203469Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2605.16732"},"observation_digest":"sha256:5363f1422ad05aacf847efda417888f921d7958bf778fd95fe31757e02d0e2e7","observation_id":"6a6c4687-972e-4f6b-abfd-193033b37da0","resolution":{"observed_at":"2026-05-19T21:52:48.368610Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":"2407.04842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-03T00:07:27.937133Z","title":"MJ-bench: Is your multimodal reward model really a good judge for text-to-image generation?","venue":null,"work_id":"8e8d1854-f811-4ebd-ab77-c86df9f7d991","year":2024},"citing_paper":{"arxiv_id":"2606.09076","last_updated":"2026-07-14T12:46:55Z","snapshot_observed_at":"2026-07-17T23:19:03.633221Z","submitted_at":"2026-06-08T06:20:12Z","title":"Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T17:30:57.001021Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2606.09076"},"observation_digest":"sha256:e6888974a197070adf6aa4d815415fd023c30733f7d0f59e08c68e7d824fa6fc","observation_id":"b811cc51-f632-4011-8265-6657b843cd20","resolution":{"observed_at":"2026-07-03T00:07:27.938581Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04842","snapshot_observed_at":"2026-07-15T10:53:37.186361Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.09076","last_updated":"2026-07-14T12:46:55Z","snapshot_observed_at":"2026-07-17T23:19:03.633221Z","submitted_at":"2026-06-08T06:20:12Z","title":"Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-15T10:53:37.186361Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2606.09076"},"observation_digest":"sha256:f96149cfeaafa5b3f539d22e7de46200f203ff0822f4aa271fbdd928cff6f23c","observation_id":"daca3c02-df54-4be6-b155-235eda149602","resolution":{"observed_at":"2026-07-15T10:53:37.186361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.04842/citation-record","integrity":"/paper/2407.04842/integrity","json":"/paper/2407.04842/citation-record.json","paper":"/paper/2407.04842"},"outbound":[],"paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:42:14.020553Z","submitted_at":"2024-07-05T20:03:16Z","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.04842."}