{"as_of":"2026-08-09T18:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c4c4f51c50c01b148c5b05c176b5813a1ca856bfe661f3f6ae415ea45262983f","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:36:24.748024Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-08T13:36:24.748024Z","title":"Arik, and Tomas Pfister","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07184","last_updated":"2025-02-11T02:19:13Z","snapshot_observed_at":"2026-08-08T13:30:15.090136Z","submitted_at":"2025-02-11T02:19:13Z","title":"Refine Knowledge of Large Language Models via Adaptive Contrastive Learning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T13:36:24.748024Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2502.07184"},"observation_digest":"sha256:a5d4d0ea3d66662882021818804b462a0f7103e60367ae31454ed7819bb498d9","observation_id":"2653432f-ca20-4624-9834-f1d0a7e1a2a9","resolution":{"observed_at":"2026-08-08T13:36:24.748024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-07T15:03:26.186307Z","title":"Mitigating object hallucination via data augmented contrastive tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16652","last_updated":"2025-06-07T18:03:28Z","snapshot_observed_at":"2026-08-09T15:42:00.408302Z","submitted_at":"2025-05-22T13:19:57Z","title":"Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T15:03:26.186307Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2505.16652"},"observation_digest":"sha256:fcea115cfd057a21f0ba13b2b6713e75a4ccd0239d6909cbe8bdd61b1985fe41","observation_id":"13883887-e87a-4beb-b2e6-8d9f3efe0886","resolution":{"observed_at":"2026-08-07T15:03:26.186307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-07T14:49:59.789620Z","title":"Mitigating object hallucination via data augmented contrastive tuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17529","last_updated":"2025-05-23T06:35:43Z","snapshot_observed_at":"2026-08-08T23:49:46.077669Z","submitted_at":"2025-05-23T06:35:43Z","title":"Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T14:49:59.789620Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2505.17529"},"observation_digest":"sha256:324af35f492f7f652fc065e96aed199def3224ce5a0c1f4433e14833f926c3ac","observation_id":"b719166e-c3b6-4ab1-926f-4ae23bc1958d","resolution":{"observed_at":"2026-08-07T14:49:59.789620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-07T13:45:56.617261Z","title":"Arık, and Tomas Pfister","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21061","last_updated":"2025-05-27T11:47:28Z","snapshot_observed_at":"2026-08-08T23:47:58.987947Z","submitted_at":"2025-05-27T11:47:28Z","title":"LPOI: Listwise Preference Optimization for Vision Language Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T13:45:56.617261Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2505.21061"},"observation_digest":"sha256:aca2a17162d5f846065214cbbc8021588d0899d86fe04f8561e3feda0e1b4f87","observation_id":"18dca663-26bf-4c96-bafc-d22e2010a868","resolution":{"observed_at":"2026-08-07T13:45:56.617261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-07T00:53:25.018219Z","title":"\\\"O .; and Pfister, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12609","last_updated":"2025-08-18T08:18:50Z","snapshot_observed_at":"2026-08-08T12:21:50.848317Z","submitted_at":"2025-06-14T19:10:22Z","title":"Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T00:53:25.018219Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2506.12609"},"observation_digest":"sha256:ffeb331fdb3b10ae886f9ab31fcd21b48d7d5e70f3832112474315f8027dae27","observation_id":"5e45eba6-e621-422a-b528-4c4606d2adba","resolution":{"observed_at":"2026-08-07T00:53:25.018219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":"2405.18654","doi":"10.48550/arxiv.2405.18654","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data-augmented phrase-level alignment for mitigating object hallucination","venue":"arXiv (Cornell University)","work_id":"cddb7aac-e622-49b1-99eb-d2e184f3e750","year":2024},"citing_paper":{"arxiv_id":"2507.12455","last_updated":"2026-05-22T04:17:50Z","snapshot_observed_at":"2026-08-08T21:41:53.901114Z","submitted_at":"2025-07-16T17:55:43Z","title":"Mitigating Object Hallucinations via Sentence-Level Early Intervention","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-25T08:31:24.173135Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2507.12455"},"observation_digest":"sha256:b3776cd95086a22eab9bc74a945a9d952c940ee5012f1a6b108d77ec17084a71","observation_id":"7e82b76f-4b8f-448b-b2f6-df366353cf7f","resolution":{"observed_at":"2026-05-25T08:35:32.580740Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T23:43:04.605185Z","title":"\\\"O .; and Pfister, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.05011","last_updated":"2025-08-07T03:49:18Z","snapshot_observed_at":"2026-08-06T05:37:26.433479Z","submitted_at":"2025-08-07T03:49:18Z","title":"Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T23:43:04.605185Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2508.05011"},"observation_digest":"sha256:0afe0a1ba952a2e79b1374ebd68bc802275e29f7f1330ee6ddef2fac0363e5b6","observation_id":"8fdfbb6f-877d-42db-bb55-0a70084fbd81","resolution":{"observed_at":"2026-08-05T23:43:04.605185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T19:52:50.314209Z","title":"Mitigating object hallucination via data augmented contrastive tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.11616","last_updated":"2025-08-15T17:29:06Z","snapshot_observed_at":"2026-08-09T00:49:49.650768Z","submitted_at":"2025-08-15T17:29:06Z","title":"Controlling Multimodal LLMs via Reward-guided Decoding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T19:52:50.314209Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2508.11616"},"observation_digest":"sha256:37de6047de9850aad8a1c89c04698cfd1f9228529f5a2722ef9d81a05c43daf0","observation_id":"38a8d27a-7220-42b2-932b-d2eb8fd01b5d","resolution":{"observed_at":"2026-08-05T19:52:50.314209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":"2405.18654","doi":"10.48550/arxiv.2405.18654","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data-augmented phrase-level alignment for mitigating object hallucination","venue":"arXiv (Cornell University)","work_id":"cddb7aac-e622-49b1-99eb-d2e184f3e750","year":2024},"citing_paper":{"arxiv_id":"2604.21027","last_updated":"2026-08-02T16:15:42Z","snapshot_observed_at":"2026-08-06T23:24:26.820832Z","submitted_at":"2026-04-22T19:18:36Z","title":"HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering","version":1},"reference_index":253,"source":"arxiv_source","source_observed_at":"2026-05-09T23:51:47.724033Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2604.21027"},"observation_digest":"sha256:db23f150edf7c424bf57db3e1332481e0c3e50493e3159005ad044a64327d9f1","observation_id":"b903e761-0591-44b4-966b-7c3ba9b4c0cd","resolution":{"observed_at":"2026-05-09T23:54:45.438618Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":"2405.18654","doi":"10.48550/arxiv.2405.18654","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data-augmented phrase-level alignment for mitigating object hallucination","venue":"arXiv (Cornell University)","work_id":"cddb7aac-e622-49b1-99eb-d2e184f3e750","year":2024},"citing_paper":{"arxiv_id":"2605.04641","last_updated":"2026-07-29T07:14:27Z","snapshot_observed_at":"2026-08-02T23:57:54.502941Z","submitted_at":"2026-05-06T08:32:30Z","title":"CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-05-08T18:05:38.705480Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2605.04641"},"observation_digest":"sha256:0d658d86d465a7fd48e93257dc221ceb355c997f714cd7b274e083dbdba1870c","observation_id":"e9a5a2e6-ba6f-45a1-bdab-5df11fff8246","resolution":{"observed_at":"2026-05-09T06:50:40.192405Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":"2405.18654","doi":"10.48550/arxiv.2405.18654","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data-augmented phrase-level alignment for mitigating object hallucination","venue":"arXiv (Cornell University)","work_id":"cddb7aac-e622-49b1-99eb-d2e184f3e750","year":2024},"citing_paper":{"arxiv_id":"2605.04874","last_updated":"2026-05-06T13:08:12Z","snapshot_observed_at":"2026-07-06T23:17:33.252539Z","submitted_at":"2026-05-06T13:08:12Z","title":"Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-08T17:00:36.574362Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2605.04874"},"observation_digest":"sha256:233d37ff0488889b5563ec98e2493a2f04aad6d89f93e6433403791a32da8d52","observation_id":"6ff6e533-e49c-411b-bdd1-5f65047d153f","resolution":{"observed_at":"2026-05-11T17:51:09.413142Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":"2405.18654","doi":"10.48550/arxiv.2405.18654","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data-augmented phrase-level alignment for mitigating object hallucination","venue":"arXiv (Cornell University)","work_id":"cddb7aac-e622-49b1-99eb-d2e184f3e750","year":2024},"citing_paper":{"arxiv_id":"2606.29805","last_updated":"2026-06-30T14:53:46Z","snapshot_observed_at":"2026-07-07T00:03:45.783349Z","submitted_at":"2026-06-29T05:33:22Z","title":"Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-30T06:13:11.013395Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2606.29805"},"observation_digest":"sha256:9530b258bb0461c53a2ef7de1e5b4f0e966372a30b8c9bae9a8f30d2fcaea6f4","observation_id":"9aa7b84e-3d72-470c-8e7b-0bf109908ac1","resolution":{"observed_at":"2026-06-30T06:14:18.747094Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment","version":3},"cited_work":{"arxiv_id":"2405.18654","doi":"10.48550/arxiv.2405.18654","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.18654","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data-augmented phrase-level alignment for mitigating object hallucination","venue":"arXiv (Cornell University)","work_id":"cddb7aac-e622-49b1-99eb-d2e184f3e750","year":2024},"citing_paper":{"arxiv_id":"2606.29805","last_updated":"2026-06-30T14:53:46Z","snapshot_observed_at":"2026-07-07T00:03:45.783349Z","submitted_at":"2026-06-29T05:33:22Z","title":"Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-01T07:01:26.911110Z"},"links":{"cited_paper":"/paper/2405.18654","citing_paper":"/paper/2606.29805"},"observation_digest":"sha256:d20b4690663311b705baecad7f9335e8b8865d727b67ed6c70a6cc4d3f298bc9","observation_id":"9b655c4e-3021-4e0a-924c-497a5c86eaa6","resolution":{"observed_at":"2026-07-01T07:05:28.680529Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.18654/citation-record","integrity":"/paper/2405.18654/integrity","json":"/paper/2405.18654/citation-record.json","paper":"/paper/2405.18654"},"outbound":[],"paper":{"arxiv_id":"2405.18654","last_updated":"2025-02-28T00:26:42Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T21:04:25.264907Z","submitted_at":"2024-05-28T23:36:00Z","title":"Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2405.18654."}