{"as_of":"2026-08-07T10:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a07d8bfd69d3f20e466f8ab957255fbb4b63ef1139421bf7b99ba61c1b2816d","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:00:02.738182Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.12283/citation-record","integrity":"/paper/2507.12283/integrity","json":"/paper/2507.12283/citation-record.json","paper":"/paper/2507.12283"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.12359","last_updated":"2025-01-07T15:36:54Z","snapshot_observed_at":"2026-07-06T20:08:12.033767Z","submitted_at":"2024-12-16T21:14:11Z","title":"LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.12359","snapshot_observed_at":"2026-08-06T16:59:59.766279Z","title":"Visual instruction tuning with 500x fewer pa- rameters through modality linear representation-steering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:59.766279Z"},"links":{"cited_paper":"/paper/2412.12359","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:9984262b40d0a9c4f41fe9b2a5d121362d14503f570adf598f454eacd4e0d972","observation_id":"2198b2d6-9d3e-49e9-b06c-fe5cbdaba49a","resolution":{"observed_at":"2026-08-06T16:59:59.766279Z","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":"2026-08-06T17:00:00.164367Z","title":"Offset: Segmentation-based focus shift revision for composed image retrieval, 2025c","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.164367Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:bae660538c3436fe9faca5c5d3c0ad1ca3f1fe60fb06f35ce7c307dd00f332e8","observation_id":"e9a70933-1cd2-4249-8808-cd238a82d037","resolution":{"observed_at":"2026-08-06T17:00:00.164367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20413","last_updated":"2025-01-02T13:26:55Z","snapshot_observed_at":"2026-07-06T20:14:17.514140Z","submitted_at":"2024-12-29T09:42:53Z","title":"EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20413","snapshot_observed_at":"2026-08-06T17:00:00.230836Z","title":"Eraseanything: Enabling concept erasure in rectified flow transformers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.230836Z"},"links":{"cited_paper":"/paper/2412.20413","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:3d1283dcaf684c097e974fe083f7b18f35c12b407b51e9433c074efc84ddfa0c","observation_id":"2493d78d-c7f2-4afd-86ac-59ab8b905118","resolution":{"observed_at":"2026-08-06T17:00:00.230836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01626","last_updated":"2022-08-02T17:55:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-08-02T17:55:41Z","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01626","snapshot_observed_at":"2026-08-06T17:00:00.597542Z","title":"Prompt-to-prompt im- age editing with cross-attention control","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.597542Z"},"links":{"cited_paper":"/paper/2208.01626","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:385f112990f6cc1089b69a1c7c514417333c25135ce38605d2a803d92493f05e","observation_id":"cd4eb0da-2b15-45c4-b937-e2b3ec43884f","resolution":{"observed_at":"2026-08-06T17:00:00.597542Z","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":"2026-08-06T17:00:05.246199Z","title":"and Salimans, T","venue":null,"work_id":"2468689e-64ed-4083-871e-7b2ce2e823f8","year":2022},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.721958Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:8903392aeadd65245173f3db78841d529cb189b331363be1b762a0240c3e1403","observation_id":"b810385d-51e8-443c-9cd4-f0574e33ee7c","resolution":{"observed_at":"2026-08-06T17:00:05.361766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:00:04.990198Z","title":"Mvctrack: Boost- ing 3d point cloud tracking via multimodal-guided virtual cues","venue":null,"work_id":"4fede8ce-5806-4b63-9533-f732abb11058","year":2025},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.916152Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:9a831e7c63cd8a4996c2b0f92cc5346d9ccdb916c4ea81e21ab3dd19870c2135","observation_id":"b6294a47-fc88-496e-b6de-afad40dd83bd","resolution":{"observed_at":"2026-08-06T17:00:05.110389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00416","last_updated":"2025-05-01T09:27:13Z","snapshot_observed_at":"2026-07-06T21:17:28.488862Z","submitted_at":"2025-05-01T09:27:13Z","title":"ScaleTrack: Scaling and back-tracking Automated GUI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00416","snapshot_observed_at":"2026-08-06T17:00:01.005902Z","title":"Scaletrack: Scaling and back-tracking automated gui agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.005902Z"},"links":{"cited_paper":"/paper/2505.00416","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:c3ca2acaebbed4b35e059b969a454207f77426fdac0f5fd64967f15b9439b20b","observation_id":"906c5e9f-6e40-405e-b59a-373fc58f03b0","resolution":{"observed_at":"2026-08-06T17:00:01.005902Z","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":"2026-08-06T17:00:04.777868Z","title":"Overview of the nlpcc 2023 shared task: Chinese medical instructional video question answering","venue":null,"work_id":"f0b5e1df-b438-473e-953c-aa7a2501d8a7","year":2023},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.136294Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:47ed6a4e6378d9c14940b7a5753065c4aa0377ef01b38117f5b88aa9bf1e219b","observation_id":"425946b3-d84e-4802-97db-63df93333eb8","resolution":{"observed_at":"2026-08-06T17:00:04.875702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12782","last_updated":"2025-04-17T09:29:30Z","snapshot_observed_at":"2026-08-06T17:05:45.060547Z","submitted_at":"2025-04-17T09:29:30Z","title":"Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.12782","snapshot_observed_at":"2026-08-06T17:00:01.247350Z","title":"Distinct but correct: generating diversi- fied and entity-revised medical response","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.247350Z"},"links":{"cited_paper":"/paper/2504.12782","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:5170156d69d2087ed22e6d6ff505f1374aa0eaa2f40ac723af92a05ac19d6fc3","observation_id":"ef5a32f0-503f-4c46-a13d-00637a6f7afb","resolution":{"observed_at":"2026-08-06T17:00:01.247350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07179","last_updated":"2024-09-11T10:41:46Z","snapshot_observed_at":"2026-08-01T17:06:28.377301Z","submitted_at":"2024-09-11T10:41:46Z","title":"Phy124: Fast Physics-Driven 4D Content Generation from a Single Image","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07179","snapshot_observed_at":"2026-08-06T17:00:01.367416Z","title":"Phy124: Fast physics-driven 4d content generation from a single image","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.367416Z"},"links":{"cited_paper":"/paper/2409.07179","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:549f370f42fd6d8c62b2d1deea4a346884451a7a908abcef3b1ff6c83733bcbe","observation_id":"4e9852a4-2624-4dc1-ab59-e422146fb9e7","resolution":{"observed_at":"2026-08-06T17:00:01.367416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18775","last_updated":"2025-03-15T02:23:29Z","snapshot_observed_at":"2026-08-04T04:52:39.936866Z","submitted_at":"2024-10-24T14:28:32Z","title":"Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18775","snapshot_observed_at":"2026-08-06T17:00:01.472792Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.472792Z"},"links":{"cited_paper":"/paper/2410.18775","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:c6a3eed209d93ec1c5210a42f9c34583a5300fbcce6048e68a850badcf6b4877","observation_id":"f528ad52-4321-47b1-9856-6b8df93eec75","resolution":{"observed_at":"2026-08-06T17:00:01.472792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03047","last_updated":"2024-11-18T15:39:00Z","snapshot_observed_at":"2026-07-06T16:57:21.997777Z","submitted_at":"2023-12-05T17:58:06Z","title":"MagicStick: Controllable Video Editing via Control Handle Transformations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03047","snapshot_observed_at":"2026-08-06T17:00:01.608530Z","title":"Magicstick: Controllable video edit- ing via control handle transformations","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.608530Z"},"links":{"cited_paper":"/paper/2312.03047","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:009fe399052a348784240e150dcd3d42a0f7401fcfc6c052f2e79dc62aa547a8","observation_id":"687cee47-9462-404d-9d46-4def708ba3af","resolution":{"observed_at":"2026-08-06T17:00:01.608530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04590","last_updated":"2025-06-05T03:11:48Z","snapshot_observed_at":"2026-08-07T10:36:04.209889Z","submitted_at":"2025-06-05T03:11:48Z","title":"Follow-Your-Creation: Empowering 4D Creation through Video Inpainting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04590","snapshot_observed_at":"2026-08-06T17:00:01.684985Z","title":"Follow your pose: Pose-guided text-to-video generation using pose-free videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.684985Z"},"links":{"cited_paper":"/paper/2506.04590","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:e580991d4d3866eef476135cb3312e50e30ae3fee0dc645bca88422045770aeb","observation_id":"4cccb2e5-7ed6-49fc-8147-8ffe024a01b0","resolution":{"observed_at":"2026-08-06T17:00:01.684985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08271","last_updated":"2025-07-01T14:52:33Z","snapshot_observed_at":"2026-08-06T05:58:24.827046Z","submitted_at":"2025-03-11T10:40:39Z","title":"LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.08271","snapshot_observed_at":"2026-08-06T17:00:01.797557Z","title":"Langtime: A language-guided unified model for time se- ries forecasting with proximal policy optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.797557Z"},"links":{"cited_paper":"/paper/2503.08271","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:bbca4517302acd687cacfaaec454d52a4aef8893c30eb95661c25bf053db0216","observation_id":"3fb8345d-aa1c-4499-9eb3-17549a49b13b","resolution":{"observed_at":"2026-08-06T17:00:01.797557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07255","last_updated":"2025-02-05T08:53:27Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T13:34:57Z","title":"Towards Realistic Data Generation for Real-World Super-Resolution","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07255","snapshot_observed_at":"2026-08-06T17:00:01.877701Z","title":"Lightweight adap- tive feature de-drifting for compressed image classifica- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:01.877701Z"},"links":{"cited_paper":"/paper/2406.07255","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:2eab80f9ad65e6a799f129062cb0fc61dd0962b9afd38be33a524fd59c892509","observation_id":"e13720f0-03a2-4403-ab71-21c6459ae704","resolution":{"observed_at":"2026-08-06T17:00:01.877701Z","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":"2026-08-06T17:00:02.010235Z","title":"A com- prehensive survey of deep learning for multivariate time series forecasting: A channel strategy perspective","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.010235Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:fe59f24956101e31c19616c92e8e96ca2dff561c8352d0523fd031aa89f1bde0","observation_id":"55802682-479b-495f-b20f-49981af4200c","resolution":{"observed_at":"2026-08-06T17:00:02.010235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16916","last_updated":"2025-05-22T17:11:58Z","snapshot_observed_at":"2026-07-06T21:28:43.610849Z","submitted_at":"2025-05-22T17:11:58Z","title":"Backdoor Cleaning without External Guidance in MLLM Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16916","snapshot_observed_at":"2026-08-06T17:00:02.139452Z","title":"Backdoor cleaning without ex- ternal guidance in mllm fine-tuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.139452Z"},"links":{"cited_paper":"/paper/2505.16916","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:af00a368ea0fc2d6d79f75cfa33fd91773206f24090a5a23604b752eb8582dc9","observation_id":"d4320cd2-d333-4387-993e-719d95e61424","resolution":{"observed_at":"2026-08-06T17:00:02.139452Z","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":"2026-08-06T17:00:04.584841Z","title":"Ptt: Point-track- transformer module for 3d single object tracking in point clouds","venue":null,"work_id":"4560e754-dfbe-4ee5-9b4a-98876797300f","year":2021},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.217451Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:abbae29c402ffd185ebeb5ee7175d27f2c4ef9a9386ac6971e25d27922ba392c","observation_id":"f7ee3b63-f739-4eaa-ac40-790837014c82","resolution":{"observed_at":"2026-08-06T17:00:04.682169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19474","last_updated":"2025-04-02T03:33:40Z","snapshot_observed_at":"2026-07-31T07:39:55.741672Z","submitted_at":"2025-03-25T09:09:30Z","title":"A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19474","snapshot_observed_at":"2026-08-06T17:00:02.277800Z","title":"URL https://arxiv.org/ pdf/2503.19474","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.277800Z"},"links":{"cited_paper":"/paper/2503.19474","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:9c3e3402b00ecdfe65be880846500dd15fdd058e87242070a27a0d605bc90414","observation_id":"37f3c9b8-384f-4e6c-a499-243f34d9b747","resolution":{"observed_at":"2026-08-06T17:00:02.277800Z","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":"2026-08-06T17:00:02.372509Z","title":"Text- toon: Real-time text toonify head avatar from single video","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.372509Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:a5bed0f59b00ddb3b706bed565f71f1a85034f7300fdf60198c00ebc6e0a7d70","observation_id":"05a39a86-ec1c-4222-afc9-0fdf31098dd6","resolution":{"observed_at":"2026-08-06T17:00:02.372509Z","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":"2026-08-06T17:00:04.339527Z","title":"Divide-and- conquer: Confluent triple-flow network for rgb-t salient object detection","venue":null,"work_id":"63e4ba29-32ec-480f-81c5-856de77a6fc3","year":1958},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.376469Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:f99832a4c6fc37b4a0cb859e6256af6661f31f823348f17a21ab8fda93a2d3de","observation_id":"31cac8ad-9e4d-4119-b9ac-d875f6424a50","resolution":{"observed_at":"2026-08-06T17:00:04.462535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:00:02.379971Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.379971Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:a5865d1223e82fb97d3a8e9b3a6709921b6dcd6199ffbb18dbcfc3b8a412d877","observation_id":"e5c16cab-537f-40ee-8fce-b92d5e5ce3cc","resolution":{"observed_at":"2026-08-06T17:00:02.379971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14766","last_updated":"2026-07-29T12:32:16Z","snapshot_observed_at":"2026-08-07T00:07:23.505609Z","submitted_at":"2025-06-17T17:58:11Z","title":"ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14766","snapshot_observed_at":"2026-08-06T17:00:02.383496Z","title":"Ascd: Attention- steerable contrastive decoding for reducing hallucination in mllm","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.383496Z"},"links":{"cited_paper":"/paper/2506.14766","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:d5a3a22d50dbb9915dce6bceb5f96016448df217eb28f733fd1c05675b1989d3","observation_id":"884d48da-c0f3-4bf1-a385-8356c96dbe51","resolution":{"observed_at":"2026-08-06T17:00:02.383496Z","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":"2026-08-06T17:00:02.388782Z","title":"Dynamic uncertainty learning with noisy correspondence for text-based person search","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.388782Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:32533a7f6a222cb5f6d7e12bf569046ab55b036cdd1b34042ec953854cbf03a9","observation_id":"756be99c-011d-4d07-aacc-389d558491bf","resolution":{"observed_at":"2026-08-06T17:00:02.388782Z","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":"2026-08-06T17:00:02.406161Z","title":"Eedit: Rethinking the spatial and temporal redundancy for efficient image editing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.406161Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:44e3d03e81f14b629ad711ee7dc78cf4255c5ee856e07728f76f7fcdfe3efa17","observation_id":"1e81a491-5499-4cfc-b8e2-caf27f2dc311","resolution":{"observed_at":"2026-08-06T17:00:02.406161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23121","last_updated":"2025-07-14T02:03:48Z","snapshot_observed_at":"2026-08-06T21:46:18.776144Z","submitted_at":"2025-06-29T07:05:27Z","title":"CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.23121","snapshot_observed_at":"2026-08-06T17:00:02.429731Z","title":"Ich-scnet: Intracerebral hemor- rhage segmentation and prognosis classification network using clip-guided sam mechanism","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.429731Z"},"links":{"cited_paper":"/paper/2506.23121","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:46792b69b9e4157f6ef7011e556c854b4115b1ae78cba441a9d9e182524ef467","observation_id":"a6dba4c8-6b65-4ca5-a70e-e5f6b754ac83","resolution":{"observed_at":"2026-08-06T17:00:02.429731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12919","last_updated":"2023-12-01T17:33:55Z","snapshot_observed_at":"2026-07-06T16:50:46.608196Z","submitted_at":"2023-11-21T18:43:07Z","title":"SPOT! Revisiting Video-Language Models for Event Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12919","snapshot_observed_at":"2026-08-06T17:00:02.453099Z","title":"Spot! revisiting video-language models for event understanding","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.453099Z"},"links":{"cited_paper":"/paper/2311.12919","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:3075857268f60eb4da36894476e1f09ab7bf3ce1f2402add21a814083f1f706a","observation_id":"55060043-7fa5-4dc2-806d-13c51cb30011","resolution":{"observed_at":"2026-08-06T17:00:02.453099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15472","last_updated":"2025-08-03T07:16:03Z","snapshot_observed_at":"2026-07-06T19:55:55.658760Z","submitted_at":"2024-11-23T06:50:11Z","title":"KinMo: Kinematic-aware Human Motion Understanding and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15472","snapshot_observed_at":"2026-08-06T17:00:02.477554Z","title":"Kinmo: Kinematic-aware human motion understanding and generation, 2025a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.477554Z"},"links":{"cited_paper":"/paper/2411.15472","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:7e08c2d2da48090a4ad1ea927730d9f771e01c0a976f3a926e746427d22c7766","observation_id":"605a504f-f334-48de-b474-b90eb7fc1c46","resolution":{"observed_at":"2026-08-06T17:00:02.477554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.02367","last_updated":"2023-12-13T08:55:27Z","snapshot_observed_at":"2026-08-04T16:11:17.626946Z","submitted_at":"2023-02-05T12:13:27Z","title":"FastPillars: A Deployment-friendly Pillar-based 3D Detector","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.02367","snapshot_observed_at":"2026-08-06T17:00:02.504483Z","title":"Y ., and Ma, L","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.504483Z"},"links":{"cited_paper":"/paper/2302.02367","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:412fe28708e73a0ca7d1ebfe930ce1defdddcdf88c0746afb6006812d4d7814d","observation_id":"87f22fa8-77c3-4875-bc22-b6e9385498ad","resolution":{"observed_at":"2026-08-06T17:00:02.504483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01197","last_updated":"2024-12-03T03:16:54Z","snapshot_observed_at":"2026-07-06T20:00:00.800207Z","submitted_at":"2024-12-02T06:59:52Z","title":"InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01197","snapshot_observed_at":"2026-08-06T17:00:02.550033Z","title":"Instantswap: Fast customized concept swapping across sharp shape differences","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.550033Z"},"links":{"cited_paper":"/paper/2412.01197","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:d2ec65525f300a1fc24eb99940c06c968124f20184dd34dab9fa7f1d973d6b22","observation_id":"1b466ac5-a235-416a-8ace-490c8022988f","resolution":{"observed_at":"2026-08-06T17:00:02.550033Z","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":"2026-08-06T17:00:04.037974Z","title":null,"venue":null,"work_id":"a94be05e-aa01-4bdb-a1ad-ecc418b90715","year":2024},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.664911Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:4a8a52cc107eb6b0c2b0df2c522834a2ce99c44d03e81b17fec06045fc7abcda","observation_id":"a131565a-8936-4422-8f01-810672d4c580","resolution":{"observed_at":"2026-08-06T17:00:04.171423Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:00:03.787384Z","title":"Multimodality (Shen et al.,","venue":null,"work_id":"51fc07cf-63bf-47b7-9ec7-d4ef83e182ac","year":2024},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:02.738182Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:7ca190a632dcdd45684a6f9b8b44b58568aea5c1fab711e19fe9167e2b70a7e1","observation_id":"d93ca757-eca8-43da-a702-9eca414db4d2","resolution":{"observed_at":"2026-08-06T17:00:03.868082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.15997","last_updated":"2024-10-21T13:28:28Z","snapshot_observed_at":"2026-07-06T19:37:07.379149Z","submitted_at":"2024-10-21T13:28:28Z","title":"MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.15997","snapshot_observed_at":"2026-08-06T17:00:00.815879Z","title":"MultiRC: Joint learning for time series anomaly prediction and detection with multi-scale reconstructive contrast","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.815879Z"},"links":{"cited_paper":"/paper/2410.15997","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:a9bc8bd299db4abf1a80441fc1927a9f6be7d912271f54338b9f32f494625460","observation_id":"6d8eb5a6-9a0a-4fc6-a493-2856fcf84648","resolution":{"observed_at":"2026-08-06T17:00:00.815879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02431","last_updated":"2024-09-04T04:18:25Z","snapshot_observed_at":"2026-07-06T19:10:12.721500Z","submitted_at":"2024-09-04T04:18:25Z","title":"Adversarial Learning for Neural PDE Solvers with Sparse Data","version":1},"cited_work":{"arxiv_id":"2409.02431","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.02431","snapshot_observed_at":"2026-08-06T17:00:03.388696Z","title":"Adversarial Learning for Neural PDE Solvers with Sparse Data","venue":"cs.LG","work_id":"67359385-1928-4012-8e73-d64c803681f2","year":2024},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.481391Z"},"links":{"cited_paper":"/paper/2409.02431","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:4ff93c4e078a3524e6c95019cb269cdb1f7d465965be6efe080b0258e0ebe573","observation_id":"3bcd8310-5726-4b88-a7b0-9f0ad4c3b511","resolution":{"observed_at":"2026-08-06T17:00:03.427058Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:00:00.059624Z","title":"Fedbip: Het- erogeneous one-shot federated learning with personalized latent diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.059624Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:5ae0efa09a24284c2e05bcff657dd0bdc377f10da996e0138ca7973f91ba3102","observation_id":"1d9dbdf2-3653-4313-b45e-e05479ca361e","resolution":{"observed_at":"2026-08-06T17:00:00.059624Z","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":"2026-08-06T16:59:59.893605Z","title":"Why reasoning mat- ters? a survey of advancements in multimodal reasoning (v1)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:59.893605Z"},"links":{"citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:a1df5d586296e7309862f303e2a458dc80bcef795b42463e71f95db2b59273db","observation_id":"e6fffb43-5602-4501-b420-49eda8e75b65","resolution":{"observed_at":"2026-08-06T16:59:59.893605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.08533","last_updated":"2022-06-13T14:16:14Z","snapshot_observed_at":"2026-07-06T10:34:19.340163Z","submitted_at":"2021-01-21T10:33:02Z","title":"Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.08533","snapshot_observed_at":"2026-08-06T17:00:00.346876Z","title":"Eliminate devia- tion with deviation for data augmentation and a gen- eral multi-modal data learning method","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T17:00:00.346876Z"},"links":{"cited_paper":"/paper/2101.08533","citing_paper":"/paper/2507.12283"},"observation_digest":"sha256:c8b62dfbb2aeedbc23f514c4f1a25312df9f7224776a99799c02107717b5f0ba","observation_id":"1e9c1c87-6de6-4054-8d2a-ff528d4fa347","resolution":{"observed_at":"2026-08-06T17:00:00.346876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.12283","last_updated":"2025-07-16T14:31:21Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T16:47:12.280146Z","submitted_at":"2025-07-16T14:31:21Z","title":"FADE: Adversarial Concept Erasure in Flow Models"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":1,"verified_fuzzy":6},"total_outbound_references":37},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.12283."}