{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BSMSHSVDD5IA765XDLNM7HB2VA","short_pith_number":"pith:BSMSHSVD","canonical_record":{"source":{"id":"2305.11481","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T07:17:27Z","cross_cats_sorted":[],"title_canon_sha256":"df60f70c721a90f7f7045656bcd9d00619b5a8afd0a2a5cd6489396a6513da8d","abstract_canon_sha256":"baa0621b0efa10d9f05c1a0941e24ba6e6f597469ad819c837d0d153db458c51"},"schema_version":"1.0"},"canonical_sha256":"0c9923caa31f500ffbb71adacf9c3aa81a9acfcd54f1790b903c67b727527b1a","source":{"kind":"arxiv","id":"2305.11481","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11481","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11481v3","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11481","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"pith_short_12","alias_value":"BSMSHSVDD5IA","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"pith_short_16","alias_value":"BSMSHSVDD5IA765X","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"pith_short_8","alias_value":"BSMSHSVD","created_at":"2026-07-05T07:44:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BSMSHSVDD5IA765XDLNM7HB2VA","target":"record","payload":{"canonical_record":{"source":{"id":"2305.11481","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T07:17:27Z","cross_cats_sorted":[],"title_canon_sha256":"df60f70c721a90f7f7045656bcd9d00619b5a8afd0a2a5cd6489396a6513da8d","abstract_canon_sha256":"baa0621b0efa10d9f05c1a0941e24ba6e6f597469ad819c837d0d153db458c51"},"schema_version":"1.0"},"canonical_sha256":"0c9923caa31f500ffbb71adacf9c3aa81a9acfcd54f1790b903c67b727527b1a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:44:54.067460Z","signature_b64":"ugDXXi1TW+PHf2tiNrQYZAjIqPJBs6l1hJdSXkr7ODYwvN+RHaDlisUsb86kFyoti80Oy7Kx0IOYpmKej9DMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c9923caa31f500ffbb71adacf9c3aa81a9acfcd54f1790b903c67b727527b1a","last_reissued_at":"2026-07-05T07:44:54.066948Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:44:54.066948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.11481","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:44:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XmdRZhfdvU+DwchhwRgs2cKII895wPjvbYmPLc5794vwoj6tCtn9t4VU1CWdI6pcTXRHpsBriKok/zhY27MoCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:01:58.755992Z"},"content_sha256":"23cff96d5bc6b6be397d80561263d8f4fd12fa1c1f264cc8165e9ae9c0142b91","schema_version":"1.0","event_id":"sha256:23cff96d5bc6b6be397d80561263d8f4fd12fa1c1f264cc8165e9ae9c0142b91"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BSMSHSVDD5IA765XDLNM7HB2VA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chen Chen, Jiachen Shen, Jiangyun Li, Jing Liu, Wenxuan Wang, Xingjian He, Yan Zhang, Yisi Zhang","submitted_at":"2023-05-19T07:17:27Z","abstract_excerpt":"Referring image segmentation (RIS) is a fundamental vision-language task that intends to segment a desired object from an image based on a given natural language expression. Due to the essentially distinct data properties between image and text, most of existing methods either introduce complex designs towards fine-grained vision-language alignment or lack required dense alignment, resulting in scalability issues or mis-segmentation problems such as over- or under-segmentation. To achieve effective and efficient fine-grained feature alignment in the RIS task, we explore the potential of masked"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11481","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2305.11481/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:44:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N90TCXGeKW628wlCZyQlM5/Z4PZpY0deaAiNd+vm8VOflVOGzy1BTy+2IkEj0jcvbkEv6zPVNucVVuo7/slXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:01:58.756492Z"},"content_sha256":"f8c2bcf0f07e046c03b1c1fa22521979d7b111975ecf7c0ee09eb722cfebfcb0","schema_version":"1.0","event_id":"sha256:f8c2bcf0f07e046c03b1c1fa22521979d7b111975ecf7c0ee09eb722cfebfcb0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BSMSHSVDD5IA765XDLNM7HB2VA/bundle.json","state_url":"https://pith.science/pith/BSMSHSVDD5IA765XDLNM7HB2VA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BSMSHSVDD5IA765XDLNM7HB2VA/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-12T11:01:58Z","links":{"resolver":"https://pith.science/pith/BSMSHSVDD5IA765XDLNM7HB2VA","bundle":"https://pith.science/pith/BSMSHSVDD5IA765XDLNM7HB2VA/bundle.json","state":"https://pith.science/pith/BSMSHSVDD5IA765XDLNM7HB2VA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BSMSHSVDD5IA765XDLNM7HB2VA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BSMSHSVDD5IA765XDLNM7HB2VA","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":"baa0621b0efa10d9f05c1a0941e24ba6e6f597469ad819c837d0d153db458c51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T07:17:27Z","title_canon_sha256":"df60f70c721a90f7f7045656bcd9d00619b5a8afd0a2a5cd6489396a6513da8d"},"schema_version":"1.0","source":{"id":"2305.11481","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11481","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11481v3","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11481","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"pith_short_12","alias_value":"BSMSHSVDD5IA","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"pith_short_16","alias_value":"BSMSHSVDD5IA765X","created_at":"2026-07-05T07:44:54Z"},{"alias_kind":"pith_short_8","alias_value":"BSMSHSVD","created_at":"2026-07-05T07:44:54Z"}],"graph_snapshots":[{"event_id":"sha256:f8c2bcf0f07e046c03b1c1fa22521979d7b111975ecf7c0ee09eb722cfebfcb0","target":"graph","created_at":"2026-07-05T07:44:54Z","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/2305.11481/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Referring image segmentation (RIS) is a fundamental vision-language task that intends to segment a desired object from an image based on a given natural language expression. Due to the essentially distinct data properties between image and text, most of existing methods either introduce complex designs towards fine-grained vision-language alignment or lack required dense alignment, resulting in scalability issues or mis-segmentation problems such as over- or under-segmentation. To achieve effective and efficient fine-grained feature alignment in the RIS task, we explore the potential of masked","authors_text":"Chen Chen, Jiachen Shen, Jiangyun Li, Jing Liu, Wenxuan Wang, Xingjian He, Yan Zhang, Yisi Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T07:17:27Z","title":"CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11481","kind":"arxiv","version":3},"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":"sha256:23cff96d5bc6b6be397d80561263d8f4fd12fa1c1f264cc8165e9ae9c0142b91","target":"record","created_at":"2026-07-05T07:44:54Z","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":"baa0621b0efa10d9f05c1a0941e24ba6e6f597469ad819c837d0d153db458c51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-19T07:17:27Z","title_canon_sha256":"df60f70c721a90f7f7045656bcd9d00619b5a8afd0a2a5cd6489396a6513da8d"},"schema_version":"1.0","source":{"id":"2305.11481","kind":"arxiv","version":3}},"canonical_sha256":"0c9923caa31f500ffbb71adacf9c3aa81a9acfcd54f1790b903c67b727527b1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c9923caa31f500ffbb71adacf9c3aa81a9acfcd54f1790b903c67b727527b1a","first_computed_at":"2026-07-05T07:44:54.066948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:44:54.066948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ugDXXi1TW+PHf2tiNrQYZAjIqPJBs6l1hJdSXkr7ODYwvN+RHaDlisUsb86kFyoti80Oy7Kx0IOYpmKej9DMCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:44:54.067460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11481","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23cff96d5bc6b6be397d80561263d8f4fd12fa1c1f264cc8165e9ae9c0142b91","sha256:f8c2bcf0f07e046c03b1c1fa22521979d7b111975ecf7c0ee09eb722cfebfcb0"],"state_sha256":"fd6c5e23b9e3ec5296f20cc12d7c3db39c31a30da706e08850fbfe0598a9026a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zcnCk15W0L/sHapnF21/FVAEbZT7twjyEGxWdB0hqVyXnf2VQK93LAIa/whhD/cU5xJS2dliBTo+Ykw4ooEYCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T11:01:58.760278Z","bundle_sha256":"9fd3dd28588f43c9d93ab3d0d91eb9de28e105fa52139a91c75942dff28714dd"}}