{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:U6RI7YUJIUH4ETCDM3ELCPMVS2","short_pith_number":"pith:U6RI7YUJ","canonical_record":{"source":{"id":"2403.09616","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:52:31Z","cross_cats_sorted":[],"title_canon_sha256":"8aa70773a349a44f014a8eeb0b2115fe697d3eb37d84cb3f94cdd1e0e1aa285a","abstract_canon_sha256":"5e256f0a22cc01b5cbcdc136aaa7ae8541bc638b6b996d069cc87e24544f0c42"},"schema_version":"1.0"},"canonical_sha256":"a7a28fe289450fc24c4366c8b13d9596bf4d7626762fde65203ca674589878f0","source":{"kind":"arxiv","id":"2403.09616","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09616","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09616v2","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09616","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"pith_short_12","alias_value":"U6RI7YUJIUH4","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"pith_short_16","alias_value":"U6RI7YUJIUH4ETCD","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"pith_short_8","alias_value":"U6RI7YUJ","created_at":"2026-07-05T10:27:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:U6RI7YUJIUH4ETCDM3ELCPMVS2","target":"record","payload":{"canonical_record":{"source":{"id":"2403.09616","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:52:31Z","cross_cats_sorted":[],"title_canon_sha256":"8aa70773a349a44f014a8eeb0b2115fe697d3eb37d84cb3f94cdd1e0e1aa285a","abstract_canon_sha256":"5e256f0a22cc01b5cbcdc136aaa7ae8541bc638b6b996d069cc87e24544f0c42"},"schema_version":"1.0"},"canonical_sha256":"a7a28fe289450fc24c4366c8b13d9596bf4d7626762fde65203ca674589878f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:08.612542Z","signature_b64":"EIdFnfvomdB4NO4drwcFkJwrYXxIQJoDpxbBn6RNxxuKrqLCaMtAkBCJPsyR6yC2te/p1woMv/TL2QubscMjCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7a28fe289450fc24c4366c8b13d9596bf4d7626762fde65203ca674589878f0","last_reissued_at":"2026-07-05T10:27:08.612041Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:08.612041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.09616","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:27:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cCX/b6XDcj3OOjBRAupaCncO+izKU1qVqTAjmNvrgPqRK6vWxtZbA4eagyc05KcjqnOIG30jX3ec5FCy14i8BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:57:02.495943Z"},"content_sha256":"1cd852c05a9e978e966bd1bdbacb5e0d7485ef1405b7404562b5aad94d7eb546","schema_version":"1.0","event_id":"sha256:1cd852c05a9e978e966bd1bdbacb5e0d7485ef1405b7404562b5aad94d7eb546"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:U6RI7YUJIUH4ETCDM3ELCPMVS2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explore In-Context Segmentation via Latent Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaoyang Wang, Chen Change Loy, Henghui Ding, Jiangning Zhang, Lu Qi, Shuicheng Yan, Xiangtai Li, Yunhai Tong","submitted_at":"2024-03-14T17:52:31Z","abstract_excerpt":"In-context segmentation has drawn increasing attention with the advent of vision foundation models. Its goal is to segment objects using given reference images. Most existing approaches adopt metric learning or masked image modeling to build the correlation between visual prompts and input image queries. This work approaches the problem from a fresh perspective - unlocking the capability of the latent diffusion model (LDM) for in-context segmentation and investigating different design choices. Specifically, we examine the problem from three angles: instruction extraction, output alignment, and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09616","kind":"arxiv","version":2},"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/2403.09616/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":"2026-07-05T10:27:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CDDOlEIA16AYFuesz2FjN+/OKTX0q13n/iS60lEs1sX+wrceqzxfUGF0AakBBeomuumC8I28YGzPgzoLvbksDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:57:02.496450Z"},"content_sha256":"b21c32177cbe08c02bb19879778ebd99c7c4948a58b68c2b18a2557d1611bf4f","schema_version":"1.0","event_id":"sha256:b21c32177cbe08c02bb19879778ebd99c7c4948a58b68c2b18a2557d1611bf4f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U6RI7YUJIUH4ETCDM3ELCPMVS2/bundle.json","state_url":"https://pith.science/pith/U6RI7YUJIUH4ETCDM3ELCPMVS2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U6RI7YUJIUH4ETCDM3ELCPMVS2/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":"2026-08-12T13:57:02Z","links":{"resolver":"https://pith.science/pith/U6RI7YUJIUH4ETCDM3ELCPMVS2","bundle":"https://pith.science/pith/U6RI7YUJIUH4ETCDM3ELCPMVS2/bundle.json","state":"https://pith.science/pith/U6RI7YUJIUH4ETCDM3ELCPMVS2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U6RI7YUJIUH4ETCDM3ELCPMVS2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U6RI7YUJIUH4ETCDM3ELCPMVS2","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":"5e256f0a22cc01b5cbcdc136aaa7ae8541bc638b6b996d069cc87e24544f0c42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:52:31Z","title_canon_sha256":"8aa70773a349a44f014a8eeb0b2115fe697d3eb37d84cb3f94cdd1e0e1aa285a"},"schema_version":"1.0","source":{"id":"2403.09616","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09616","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09616v2","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09616","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"pith_short_12","alias_value":"U6RI7YUJIUH4","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"pith_short_16","alias_value":"U6RI7YUJIUH4ETCD","created_at":"2026-07-05T10:27:08Z"},{"alias_kind":"pith_short_8","alias_value":"U6RI7YUJ","created_at":"2026-07-05T10:27:08Z"}],"graph_snapshots":[{"event_id":"sha256:b21c32177cbe08c02bb19879778ebd99c7c4948a58b68c2b18a2557d1611bf4f","target":"graph","created_at":"2026-07-05T10:27:08Z","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/2403.09616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-context segmentation has drawn increasing attention with the advent of vision foundation models. Its goal is to segment objects using given reference images. Most existing approaches adopt metric learning or masked image modeling to build the correlation between visual prompts and input image queries. This work approaches the problem from a fresh perspective - unlocking the capability of the latent diffusion model (LDM) for in-context segmentation and investigating different design choices. Specifically, we examine the problem from three angles: instruction extraction, output alignment, and","authors_text":"Chaoyang Wang, Chen Change Loy, Henghui Ding, Jiangning Zhang, Lu Qi, Shuicheng Yan, Xiangtai Li, Yunhai Tong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:52:31Z","title":"Explore In-Context Segmentation via Latent Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09616","kind":"arxiv","version":2},"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":"sha256:1cd852c05a9e978e966bd1bdbacb5e0d7485ef1405b7404562b5aad94d7eb546","target":"record","created_at":"2026-07-05T10:27:08Z","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":"5e256f0a22cc01b5cbcdc136aaa7ae8541bc638b6b996d069cc87e24544f0c42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T17:52:31Z","title_canon_sha256":"8aa70773a349a44f014a8eeb0b2115fe697d3eb37d84cb3f94cdd1e0e1aa285a"},"schema_version":"1.0","source":{"id":"2403.09616","kind":"arxiv","version":2}},"canonical_sha256":"a7a28fe289450fc24c4366c8b13d9596bf4d7626762fde65203ca674589878f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7a28fe289450fc24c4366c8b13d9596bf4d7626762fde65203ca674589878f0","first_computed_at":"2026-07-05T10:27:08.612041Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:08.612041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EIdFnfvomdB4NO4drwcFkJwrYXxIQJoDpxbBn6RNxxuKrqLCaMtAkBCJPsyR6yC2te/p1woMv/TL2QubscMjCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:08.612542Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.09616","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cd852c05a9e978e966bd1bdbacb5e0d7485ef1405b7404562b5aad94d7eb546","sha256:b21c32177cbe08c02bb19879778ebd99c7c4948a58b68c2b18a2557d1611bf4f"],"state_sha256":"b6115434c7d805936e896f908fac6b747fb537ab586f4246e675256a0246fba7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jQaAyCgau6PCbL/1FarqDtZGpcSCPtmg63USW262S9r8iFW6Q8MtCf6obPjdFVy7bJzJDkj3FGSoM6O/5ZK2BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T13:57:02.500400Z","bundle_sha256":"ab80c039d9059ebe1fde7d33ceadfb78835afc319f623fb609813739726cd98e"}}