{"as_of":"2026-08-09T02:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a155c36caac3f0c9f5e1ef73c9b259a63db11816dd30221e10ccc60baa040b56","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":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:57:36.555008Z","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":"2026-08-05T13:28:06.601120Z","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":"sha256:0a3ad733d35a96f695c017b1eef317704d1e62d94da9b64fe6b9d01b09467bdb","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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:f39b52ae12c1bfe85327f749b90d31b813608345b14681a38deb801b687b7ef9","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"2026-08-07T16:01:39.307745Z","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":"sha256:2f1e8720636dda3917e8dd90b558c2571786c3824587289093ec5e59c0a4eb10","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"2026-08-07T14:57:36.555008Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16832","last_updated":"2025-05-27T23:23:45Z","snapshot_observed_at":"2026-08-07T14:52:08.936212Z","submitted_at":"2025-05-22T16:02:18Z","title":"From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T14:57:36.555008Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2505.16832"},"observation_digest":"sha256:97c8a67fa6b8c487922cb26bc76465afda2335a814f40da538a29a44d66d390d","observation_id":"bfcb0820-83cd-45c5-bc4f-5da7845f3778","resolution":{"observed_at":"2026-08-07T14:57:36.555008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"2026-08-07T12:45:12.627945Z","title":"Mj-bench: Is your multimodal reward model really a good judge for text-to-image generation?arXiv preprint arXiv:2407.04842, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23713","last_updated":"2025-05-29T17:47:36Z","snapshot_observed_at":"2026-08-07T22:01:03.677076Z","submitted_at":"2025-05-29T17:47:36Z","title":"SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:12.627945Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2505.23713"},"observation_digest":"sha256:fa131c4a03a26225eede182c5e6d5f5f243d6fa68d42a9fb9c7e34a769169fa4","observation_id":"1861385d-1771-442f-b1f7-b6ffd1243484","resolution":{"observed_at":"2026-08-07T12:45:12.627945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"sha256:2eed8d9b60d587e4880c2f6a314cc67c51bcfd6c8346b34ed965910c6819f24b","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"2026-08-07T10:17:46.342016Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10019","last_updated":"2025-06-06T11:09:46Z","snapshot_observed_at":"2026-08-08T16:55:23.964977Z","submitted_at":"2025-06-06T11:09:46Z","title":"A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:17:46.342016Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2506.10019"},"observation_digest":"sha256:9b0a9deafa2f1bb57c3df667f7de12074cd4263b31d52af99f9b4cbc5fb53a83","observation_id":"6673c4ca-9495-462a-a299-bfdd10bfcd46","resolution":{"observed_at":"2026-08-07T10:17:46.342016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"2026-08-06T12:54:33.346700Z","title":"Mj-bench: Is your multimodal reward model really a good judge for text-to- image generation? arXiv preprint arXiv:2407.04842, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21391","last_updated":"2025-07-30T04:49:38Z","snapshot_observed_at":"2026-08-07T17:28:45.754374Z","submitted_at":"2025-07-28T23:52:53Z","title":"Multimodal LLMs as Customized Reward Models for Text-to-Image Generation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:54:33.346700Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2507.21391"},"observation_digest":"sha256:1c52795f70038c2d7941c315f8fda5b205310439d310f7dc9ebe7fbd58b5470e","observation_id":"02c55c24-4378-4579-8a74-f34efdfec3c2","resolution":{"observed_at":"2026-08-06T12:54:33.346700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"2026-08-06T12:08:01.666768Z","title":"Mj-bench: Is your multi- modal reward model really a good judge for text-to-image generation? arXiv preprint arXiv:2407.04842, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22100","last_updated":"2025-07-29T17:59:16Z","snapshot_observed_at":"2026-08-08T04:32:22.203390Z","submitted_at":"2025-07-29T17:59:16Z","title":"Trade-offs in Image Generation: How Do Different Dimensions Interact?","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:08:01.666768Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2507.22100"},"observation_digest":"sha256:0021f580ec128e62979a3301596dc214b55eb8bcd09ee74512b302992d284785","observation_id":"8884ae45-466b-46b8-a368-d32753831caf","resolution":{"observed_at":"2026-08-06T12:08:01.666768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"2026-08-05T22:32:51.751433Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06905","last_updated":"2025-08-26T12:18:14Z","snapshot_observed_at":"2026-08-07T03:28:03.679250Z","submitted_at":"2025-08-09T09:36:21Z","title":"MultiRef: Controllable Image Generation with Multiple Visual References","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:32:51.751433Z"},"links":{"cited_paper":"/paper/2407.04842","citing_paper":"/paper/2508.06905"},"observation_digest":"sha256:53e7158297e00ba0155454d4d008807d6642de7fb5f6584c3dcd16972da9b94d","observation_id":"0d15fd82-8b90-4ed5-9d8a-3037cd81a9c2","resolution":{"observed_at":"2026-08-05T22:32:51.751433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"sha256:15db5937de156e4dd6fc9367339fd269717e6dc3e7261e074e89813b5a97db96","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"sha256:95ced52950a27fa4e2045422cf71d4de6b08506cbdc39d2952db894d143787ab","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"sha256:4822f64e159aeefda48fd5fdb6b0faa4b16262c94e9663368eae91f03de52114","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04842","last_updated":"2024-07-05T20:03:16Z","snapshot_observed_at":"2026-08-05T13:28:06.601120Z","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":"sha256:15b870d08a96575aa4d83e923a77dea558c9edf0dbad03ce00395776b5179469","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":"2026-08-05T13:28:06.601120Z","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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2407.04842."}