{"as_of":"2026-08-14T10:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d5c7d9cd04d1d87b14614cae0e96eb7e86661bfa707386b70bc431a1ac2e8b78","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:09:53.466523Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T10:44:31.842696Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T10:46:17.159232Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"cited_work":{"arxiv_id":"2505.22517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22517","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f60a7b4d-067e-4288-8199-c5b2de33d6c8","year":2025},"citing_paper":{"arxiv_id":"2510.04142","last_updated":"2026-05-11T11:36:03Z","snapshot_observed_at":"2026-08-11T09:22:30.020908Z","submitted_at":"2025-10-05T10:42:21Z","title":"Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments","version":3},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-05-18T10:44:31.842696Z"},"links":{"cited_paper":"/paper/2505.22517","citing_paper":"/paper/2510.04142"},"observation_digest":"sha256:21be2a2e48d54e944271a01b78783c70af4174bffae2cff88efde8ba244f51c4","observation_id":"127221cc-89f2-48fb-8ca4-e93acfebbaf8","resolution":{"observed_at":"2026-05-18T10:46:17.161825Z","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/2505.22517/citation-record","integrity":"/paper/2505.22517/integrity","json":"/paper/2505.22517/citation-record.json","paper":"/paper/2505.22517"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:59.189833Z","title":null,"venue":null,"work_id":"875ebd3e-d978-4620-aaaf-9e657aa029db","year":2022},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:49.111996Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:b8313843045034ac3d567eb6bd3c5c1acdd70f5b0c21c4728fcd355a9d735791","observation_id":"f7fb6ace-d2de-469c-ae45-7e41705fc17c","resolution":{"observed_at":"2026-08-07T13:09:59.347028Z","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":"2026-08-07T13:09:49.203906Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:49.203906Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:bf8a405186b7acf855d2b6c022d756e43e756d1a47d22ae9de35414e48f87041","observation_id":"c4b86d71-5386-4fee-bffb-cbcb70912aab","resolution":{"observed_at":"2026-08-07T13:09:49.203906Z","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":"2026-08-07T13:09:58.976726Z","title":null,"venue":null,"work_id":"09a27a6e-0be7-41bb-b708-db22000a2696","year":2022},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:49.315599Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:72f4fafc88fb79979abd132914e99a7682e25e8ee5e1963a48a560c40706b657","observation_id":"cf288b40-a513-4793-b10b-5a94307ea5d0","resolution":{"observed_at":"2026-08-07T13:09:59.097807Z","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":"2026-08-07T13:09:58.792126Z","title":null,"venue":null,"work_id":"8750d437-45f0-4ac4-858b-30aeca76eb33","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:49.445955Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:53742fef38563b594df6bc4729405a067a0ecfd96b93a29cdf925866d8788e76","observation_id":"3cc2cd3e-4952-4fcb-a58d-1a68d41ed1bd","resolution":{"observed_at":"2026-08-07T13:09:58.886364Z","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":"2026-08-07T13:09:49.586028Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:49.586028Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:59dfacd7e4b66921966ea9375ce2e2cd7bb9d250ac15f1c5318fa868e551af94","observation_id":"74b8fcaa-c5c7-4b4e-87f8-dae27689ea75","resolution":{"observed_at":"2026-08-07T13:09:49.586028Z","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":"2026-08-07T13:09:58.361968Z","title":null,"venue":null,"work_id":"e7d6875d-7cde-4b7e-ba74-36b02c71c53f","year":2020},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:49.718808Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:334bc4889d8edd7fb5fc066722ddb27ba6a7b5d82db9571bef0076bbaf48f05c","observation_id":"18a54cc6-0a77-4981-81ff-3c10798cd4f6","resolution":{"observed_at":"2026-08-07T13:09:58.535309Z","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":"2026-08-07T13:09:58.114609Z","title":"Detect web entities and pages","venue":null,"work_id":"2f68362c-c7cd-4cf9-b238-bc0b7dc5a17b","year":null},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:49.871041Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:60989aa052c881eb93b25784184f7b4b35834b0058fcf2fe7ed41e5243657152","observation_id":"2f8f43a4-07aa-4f68-853d-7cbf41564919","resolution":{"observed_at":"2026-08-07T13:09:58.250477Z","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":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-08-13T20:44:28.824685Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-07T13:09:50.013576Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.013576Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:b547a2a15608e18340b3247877cfe067c81aac9d00ace74d826c5468d37fe5c8","observation_id":"c7b3dfda-2abe-431a-b895-6ab3c6e8092a","resolution":{"observed_at":"2026-08-07T13:09:50.013576Z","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":"2026-08-07T13:09:50.158725Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.158725Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:7ea35860a691ebec219b8f56f156883365ead434b830414820a8738fe47333bd","observation_id":"44ae6606-0218-421f-b0ff-08d15d14cb5b","resolution":{"observed_at":"2026-08-07T13:09:50.158725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-07T13:09:50.226185Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.226185Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:5eafb380117a6cb58915528e32592e1a5c126bc2a5157077bf704196bb341cd3","observation_id":"b79edc06-d244-48cf-b344-8c010ca46c94","resolution":{"observed_at":"2026-08-07T13:09:50.226185Z","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":"2026-08-07T13:09:50.395164Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.395164Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:b219e607f1e0daf76ffaee49dbb68f27af38fc08da9b3e90b0483f8076636996","observation_id":"2f2a019a-d86d-449c-ace8-89c0256bf221","resolution":{"observed_at":"2026-08-07T13:09:50.395164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14050","last_updated":"2024-04-15T21:58:27Z","snapshot_observed_at":"2026-08-13T11:10:03.254684Z","submitted_at":"2023-06-24T20:15:07Z","title":"Symbolic Chain-of-Thought Distillation: Small Models Can Also \"Think\" Step-by-Step","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14050","snapshot_observed_at":"2026-08-07T13:09:50.561934Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.561934Z"},"links":{"cited_paper":"/paper/2306.14050","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:515fed1d425fb69a19500d69600f0b0a3d5008c36ac6d9915b3e1bc9694f2f51","observation_id":"03f60794-e42d-4c6d-bb29-e70ccfec69bb","resolution":{"observed_at":"2026-08-07T13:09:50.561934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.03557","last_updated":"2019-08-09T17:57:13Z","snapshot_observed_at":"2026-08-07T01:39:40.489262Z","submitted_at":"2019-08-09T17:57:13Z","title":"VisualBERT: A Simple and Performant Baseline for Vision and Language","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.03557","snapshot_observed_at":"2026-08-07T13:09:50.677351Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.677351Z"},"links":{"cited_paper":"/paper/1908.03557","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:1f38a65d5ff080dbbe629d500ccab57ab7b9beac96f94d0dcd2b96760de09bfa","observation_id":"5d97d492-eeef-4a7b-a2ae-eecc98074541","resolution":{"observed_at":"2026-08-07T13:09:50.677351Z","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":"2026-08-07T13:09:57.918163Z","title":null,"venue":null,"work_id":"dfbe2674-e36a-4b66-9a31-1dc196b6eecc","year":2021},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.822464Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:504162062a02dfe7bb8bb37f4cbdf4e798aa023583a8543effb4911987a67aa0","observation_id":"272cc4b8-f0e3-4af4-bb07-c8dd35b298d8","resolution":{"observed_at":"2026-08-07T13:09:57.980016Z","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":"2026-08-07T13:09:57.566752Z","title":null,"venue":null,"work_id":"00573631-d5da-4c91-a0f3-75a5352cfaf3","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:50.966347Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:c31986d42c3a80873d6a110e71da66cee287401f11d006ed24ad46f41ea96080","observation_id":"7e5b00da-a469-4c59-a236-99ed4627d770","resolution":{"observed_at":"2026-08-07T13:09:57.725777Z","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":"2026-08-07T13:09:57.304295Z","title":null,"venue":null,"work_id":"5390e180-5989-4729-a774-c2aacd41a08c","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.123815Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:80c7611907749c05810913fc16b8eac8f58005b5a1db2b65f04fe7b39f3ff04e","observation_id":"56650d27-1552-402b-8d63-18f0669367e3","resolution":{"observed_at":"2026-08-07T13:09:57.433640Z","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":"2026-08-07T13:09:57.002185Z","title":null,"venue":null,"work_id":"fd3ea75c-6960-4a17-946c-b14e21e0ece5","year":2021},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.318556Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:2d9ab15684ac16b741d5cfc9524f5c2b911e07ca82791aa2a84031d9b4bfe317","observation_id":"c1bc27df-89f2-4bb8-86e9-96987db14a3b","resolution":{"observed_at":"2026-08-07T13:09:57.106876Z","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":"2026-08-07T13:09:56.732355Z","title":null,"venue":null,"work_id":"b2ef69b4-1ea4-4492-9597-0c266e0ecbf9","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.381171Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:ff26fd42d1068c6224777e45b7c3c0303574a75b4b96d0f73b5b9570323fc0ec","observation_id":"1aa8d7f5-e4eb-414b-a284-9b800dd498cd","resolution":{"observed_at":"2026-08-07T13:09:56.862305Z","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":"2026-08-07T13:09:56.379378Z","title":null,"venue":null,"work_id":"4f87e969-0894-4027-a0fe-5a4a6c0018fb","year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.548620Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:7be04b2039a111c1b5515b1f43db38af708b2e79a93f2c840fdd15e6f58c222d","observation_id":"7b7d799f-f7ea-43e2-8168-ba6477a84f79","resolution":{"observed_at":"2026-08-07T13:09:56.555069Z","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":"2026-08-07T13:09:56.155043Z","title":null,"venue":null,"work_id":"e9e5bfcf-ce92-496a-828b-b511f70380eb","year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.655762Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:8b38687aff5da28c637d768de3d0f7e8ef34e8436cc5947d909024e3f62a470f","observation_id":"f25d627d-620c-4913-9c60-4717037431e7","resolution":{"observed_at":"2026-08-07T13:09:56.229008Z","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":"2403.03170","last_updated":"2024-03-05T18:04:59Z","snapshot_observed_at":"2026-08-13T04:02:49.607464Z","submitted_at":"2024-03-05T18:04:59Z","title":"SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection","version":1},"cited_work":{"arxiv_id":"2403.03170","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.03170","snapshot_observed_at":"2026-08-07T13:09:53.892142Z","title":"SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection","venue":"cs.MM","work_id":"2af49881-c46f-44ed-a26f-5ec69788b68e","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.743300Z"},"links":{"cited_paper":"/paper/2403.03170","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:e76ea9eee597247843a23df94152a4c929b3714b77603f7cf15dfd066a13605b","observation_id":"2b0d3cf0-ee22-4798-b3dc-79be2e5d506f","resolution":{"observed_at":"2026-08-07T13:09:54.030325Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:51.880250Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.880250Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:79290b1317d6e7eca4eb9d0c3245ba78e170baf317f834185c664622cc4b0da5","observation_id":"8fddc9a8-9077-4826-b779-78b4153d9d73","resolution":{"observed_at":"2026-08-07T13:09:51.880250Z","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":"2026-08-07T13:09:51.946494Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:51.946494Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:fa83419fd87edbd6c3e1b10664b007a499c194c7e9a84f1b5b0f74a67a7a7daf","observation_id":"69f59aa9-43e6-4d2c-a2f1-134e49ca065a","resolution":{"observed_at":"2026-08-07T13:09:51.946494Z","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":"2026-08-07T13:09:55.858711Z","title":null,"venue":null,"work_id":"701a3b5a-f9e9-4b3c-b8a2-e0effd1dad1d","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.008900Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:2f23798da3fd6f1477f53e14079fc3fcf71e23e32161b09925037236f9408881","observation_id":"c94dcc66-61f3-4f62-a65a-3a6264573821","resolution":{"observed_at":"2026-08-07T13:09:56.015841Z","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":"2026-08-07T13:09:55.515428Z","title":null,"venue":null,"work_id":"d0782b6e-95f9-41e4-a3c8-5811459d9c7d","year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.254763Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:f88299d827a43a34745ecfbbbce6d53623b7c25bd07fa30b4a4911b985550c62","observation_id":"14483ae8-050b-4f03-ba79-4fe61a5a7d49","resolution":{"observed_at":"2026-08-07T13:09:55.646810Z","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":"2026-08-07T13:09:55.227946Z","title":null,"venue":null,"work_id":"021de195-671e-4cf6-8aa8-f43ca2c4138f","year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.322833Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:d2733501d363dd1ed34c1d8d7e0c0c637953bb0665a9015edb29c4c6be27a7a2","observation_id":"3f75d6b2-3119-4aae-af1b-f4ab4c52fe25","resolution":{"observed_at":"2026-08-07T13:09:55.360832Z","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":"2504.06269","last_updated":"2025-03-01T06:32:27Z","snapshot_observed_at":"2026-08-13T09:24:48.148078Z","submitted_at":"2025-03-01T06:32:27Z","title":"EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval","version":1},"cited_work":{"arxiv_id":"2504.06269","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.06269","snapshot_observed_at":"2026-08-07T13:09:53.615472Z","title":"EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval","venue":"cs.IR","work_id":"fb0d8a78-a0a3-430e-8b0b-e5e26c8f63e5","year":2025},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.452628Z"},"links":{"cited_paper":"/paper/2504.06269","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:3a7b50f76ed52ad08f2d01045dadc7f4a79b666ada8446f6e0b124b08394a6f9","observation_id":"e8ceb83f-b9a3-4b2b-b968-603c0e682775","resolution":{"observed_at":"2026-08-07T13:09:53.732500Z","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":"2026-08-07T13:09:54.857679Z","title":null,"venue":null,"work_id":"6f57d39f-b0c8-4eb0-a2f7-8c8f19263e5c","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.566673Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:55e54e39b2b59d6914d19b2fd253b83faf952d976a796d32fd49f555e4f7d815","observation_id":"f099fb9a-3fda-4c06-802f-4c45315a6987","resolution":{"observed_at":"2026-08-07T13:09:55.053812Z","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":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-10T17:26:33.432994Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-07T13:09:52.708144Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.708144Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:7c4cd25647d379f70b4f38a25246ff77c43c27fe067bfc9a885c962ba60330a9","observation_id":"13a331f0-b30a-4c44-aa42-71ead0bb9e35","resolution":{"observed_at":"2026-08-07T13:09:52.708144Z","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":"2026-08-07T13:09:54.618664Z","title":null,"venue":null,"work_id":"f44069a9-fd8a-4d5e-b690-902c0cebe10a","year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.818066Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:fadb5f0e3425fcc9ddfa2204f3622afe859ff5ef75d8fab5c59dafcdc602248f","observation_id":"d8c1ab80-c9d4-4bb7-8fc6-56163b45dfc1","resolution":{"observed_at":"2026-08-07T13:09:54.720239Z","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":"2502.19557","last_updated":"2025-02-26T20:50:11Z","snapshot_observed_at":"2026-08-09T06:45:38.273472Z","submitted_at":"2025-02-26T20:50:11Z","title":"Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19557","snapshot_observed_at":"2026-08-07T13:09:52.943988Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:52.943988Z"},"links":{"cited_paper":"/paper/2502.19557","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:7b0657f47dd9d2fe8ebdfdfa92b7ac29fd965cff9750b8153fa396c5977473d7","observation_id":"b5d40556-8047-41ac-99e0-367bec02ec7e","resolution":{"observed_at":"2026-08-07T13:09:52.943988Z","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":"2026-08-07T13:09:54.349371Z","title":null,"venue":null,"work_id":"aa0008d3-a5a1-423b-b918-b49d239220b4","year":2024},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:53.143713Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:0a5a35e6f2bf5f9901ef8b8c439e2325fe0d191b1fa2d0949b7171fa916ed8ef","observation_id":"63cad578-1ebf-4614-bd10-99b2b452127d","resolution":{"observed_at":"2026-08-07T13:09:54.476312Z","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":"2304.10592","last_updated":"2023-10-02T16:38:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-20T18:25:35Z","title":"MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10592","snapshot_observed_at":"2026-08-07T13:09:53.278174Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:53.278174Z"},"links":{"cited_paper":"/paper/2304.10592","citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:7e5593f76ee57b557873b47f5387956e8feff5b59f8701f21b69a6a39fe69e6a","observation_id":"0139111e-c2cf-417c-9e1d-3905abac89ec","resolution":{"observed_at":"2026-08-07T13:09:53.278174Z","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":"2026-08-07T13:09:53.383716Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:53.383716Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:00a49802f656e2713db7ee2d30e92e20fa7f2d7b9df04de69cd0b3b148c68b1b","observation_id":"12860600-9619-4020-ae6f-d9e2f205491d","resolution":{"observed_at":"2026-08-07T13:09:53.383716Z","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":"2026-08-07T13:09:53.466523Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T13:09:53.466523Z"},"links":{"citing_paper":"/paper/2505.22517"},"observation_digest":"sha256:284d375df8b9942d3feaa4c87c9987ff9ab2bb0173182a6f21e7cfc8e9deaf48","observation_id":"ad8157cb-af7d-466f-83c8-ae444413c775","resolution":{"observed_at":"2026-08-07T13:09:53.466523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.22517","last_updated":"2025-05-28T16:03:41Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T21:59:37.221673Z","submitted_at":"2025-05-28T16:03:41Z","title":"Multi-MLLM Knowledge Distillation for Out-of-Context News Detection"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":2,"verified_fuzzy":1},"total_outbound_references":35},"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 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2505.22517."}