{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VNWXVILVH6SRGJYXD3IOX23Y3A","merge_version":"pith-open-graph-merge-v1","event_count":8,"valid_event_count":8,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8c3f36555b2de0a4eee202befd475910b8ee8031e6fa74a21537865d52717113","cross_cats_sorted":["cs.LG","cs.MM","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T15:59:39Z","title_canon_sha256":"1cfc425f2305bd242d3ffdef8dbb7baa1f9fe8d7bd1ec608cfe918239c37256d"},"schema_version":"1.0","source":{"id":"2605.22658","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22658","created_at":"2026-05-22T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22658v1","created_at":"2026-05-22T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22658","created_at":"2026-05-22T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"VNWXVILVH6SR","created_at":"2026-05-22T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"VNWXVILVH6SRGJYX","created_at":"2026-05-22T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"VNWXVILV","created_at":"2026-05-22T02:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:da6c65a037a74d34d0dbfb4fef3892be22129833dc303114321bfbf423270ef1","target":"graph","created_at":"2026-05-22T02:04:48Z","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/2605.22658/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While large language models provide strong compositional reasoning, existing reasoning segmentation pipelines fail to transparently connect this reasoning to visual perception. Current methods, such as latent query alignment, are end-to-end yet opaque \"black boxes\". Conversely, textual localization readout is merely readable, not truly interpretable, often functioning as an unconstrained post-hoc step. To bridge this interpretability gap, we propose SegCompass, an end-to-end model that leverages a Sparse Autoencoder (SAE) to forge an explicit, interpretable, and differentiable alignment pathwa","authors_text":"Haoqian Kang, Jinpeng Wang, Ke Chen, Liupeng Li, Yan Feng, Yaowei Wang, Zhenyu Lu","cross_cats":["cs.LG","cs.MM","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T15:59:39Z","title":"SegCompass: Exploring Interpretable Alignment with Sparse Autoencoders for Enhanced Reasoning Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22658","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":"sha256:22a6ce696893d9f60c90c45b0c298fefde9702c26e139a9844b24e4d4103e604","target":"record","created_at":"2026-05-22T02:04:48Z","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":"8c3f36555b2de0a4eee202befd475910b8ee8031e6fa74a21537865d52717113","cross_cats_sorted":["cs.LG","cs.MM","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T15:59:39Z","title_canon_sha256":"1cfc425f2305bd242d3ffdef8dbb7baa1f9fe8d7bd1ec608cfe918239c37256d"},"schema_version":"1.0","source":{"id":"2605.22658","kind":"arxiv","version":1}},"canonical_sha256":"ab6d7aa1753fa51327171ed0ebeb78d8255426ce16dd3da77de55bb13fbf6019","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab6d7aa1753fa51327171ed0ebeb78d8255426ce16dd3da77de55bb13fbf6019","first_computed_at":"2026-05-22T02:04:48.646711Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T02:04:48.646711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bagR6XAtZH+T5twVv0W3Z1x+PXn9Zr7rYOuiu2PQbaD9FZ3dGGxwFuztfO4BW/mNFutcNpXG7xCUh3PSGU4ABQ==","signature_status":"signed_v1","signed_at":"2026-05-22T02:04:48.647494Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22658","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:1be7a843b9c3b213db106d71aa3c0cc0c302c3767532d5b06395fff065ef9c0a","sha256:3e13d6c7efbd4178a02cc9106156caf9f16a02e2dc3f7070859a69753d9b821b","sha256:7e2c58070decb74e04f928a82006c314f24c56044f0b55aef3c372603acefc5d","sha256:9884bb77387a7c4de998cce48e2f88942db9064334003aa24e60d3316fc59611","sha256:df7de33177d2ff3ca251ec7cdc0bae5debb0622a97aa943ddc3f78a0cad2baaa","sha256:fa7ce3a87f8d1fa68519fdbe403d64038b3821a81c8c961d08c81c2ca94b93e1"]}],"invalid_events":[],"applied_event_ids":["sha256:22a6ce696893d9f60c90c45b0c298fefde9702c26e139a9844b24e4d4103e604","sha256:da6c65a037a74d34d0dbfb4fef3892be22129833dc303114321bfbf423270ef1"],"state_sha256":"ab94faa6886d9932ba9ea63e109990b6a37c57f6a88ddb71f57c31bbc23e4201"}