{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:F2H6KLY7TDMSO747Q4DME3MOA4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"91cecd31a6d62f092a32383b25aae213fb3b53e9a13f983e9e2ef580883e1637","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-05T07:02:25Z","title_canon_sha256":"8236b15e03efe823505ca3ee11636fd50c04fd43e588765077f04383a5df8803"},"schema_version":"1.0","source":{"id":"2411.02858","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.02858","created_at":"2026-07-05T09:31:19Z"},{"alias_kind":"arxiv_version","alias_value":"2411.02858v1","created_at":"2026-07-05T09:31:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.02858","created_at":"2026-07-05T09:31:19Z"},{"alias_kind":"pith_short_12","alias_value":"F2H6KLY7TDMS","created_at":"2026-07-05T09:31:19Z"},{"alias_kind":"pith_short_16","alias_value":"F2H6KLY7TDMSO747","created_at":"2026-07-05T09:31:19Z"},{"alias_kind":"pith_short_8","alias_value":"F2H6KLY7","created_at":"2026-07-05T09:31:19Z"}],"graph_snapshots":[{"event_id":"sha256:255cda5305595baa23976eb9307abb8efdafa082839ba3c3d5a0be5c780ea323","target":"graph","created_at":"2026-07-05T09:31:19Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2411.02858/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-object multi-part scene segmentation is a challenging task whose complexity scales exponentially with part granularity and number of scene objects. To address the task, we propose a plug-and-play approach termed OLAF. First, we augment the input (RGB) with channels containing object-based structural cues (fg/bg mask, boundary edge mask). We propose a weight adaptation technique which enables regular (RGB) pre-trained models to process the augmented (5-channel) input in a stable manner during optimization. In addition, we introduce an encoder module termed LDF to provide low-level dense f","authors_text":"Pradeep Shenoy, Pranav Gupta, Ravikiran Sarvadevabhatla, Rishubh Singh","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-05T07:02:25Z","title":"OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.02858","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b961812d14a01cf506e07e681ff201609a658f1cb053695ac22614b936c7555d","target":"record","created_at":"2026-07-05T09:31:19Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"91cecd31a6d62f092a32383b25aae213fb3b53e9a13f983e9e2ef580883e1637","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-05T07:02:25Z","title_canon_sha256":"8236b15e03efe823505ca3ee11636fd50c04fd43e588765077f04383a5df8803"},"schema_version":"1.0","source":{"id":"2411.02858","kind":"arxiv","version":1}},"canonical_sha256":"2e8fe52f1f98d9277f9f8706c26d8e071577560d88c07966ed86698da8075f92","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e8fe52f1f98d9277f9f8706c26d8e071577560d88c07966ed86698da8075f92","first_computed_at":"2026-07-05T09:31:19.216389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:19.216389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iY5wFFrX6lGddM1bJriKOmcELz3PMrYSvWarnpCyCuF6taFzWfamO6N0T/rmBfCIMnODFvNDRSM91t1nIKoACg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:19.216853Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.02858","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b961812d14a01cf506e07e681ff201609a658f1cb053695ac22614b936c7555d","sha256:255cda5305595baa23976eb9307abb8efdafa082839ba3c3d5a0be5c780ea323"],"state_sha256":"3f67c86d31e8996f4dfb0e1f518f4481a8f0b764dff7633d3027afb4bffcffe9"}