{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RSDVFN3JE4HV53JN3G43KOKZME","short_pith_number":"pith:RSDVFN3J","canonical_record":{"source":{"id":"2605.25651","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T09:57:46Z","cross_cats_sorted":[],"title_canon_sha256":"d0e49af1503b0e806e1ff360813a32ce1cddde65f2e95ed3b11ca6dab4947fd4","abstract_canon_sha256":"eaa6d88d02481d5c2371da1f85a208f7f374a1e20d5b486c738421480ba5aa02"},"schema_version":"1.0"},"canonical_sha256":"8c8752b769270f5eed2dd9b9b53959610f0c6ff0b79a253628a0a1d98325861e","source":{"kind":"arxiv","id":"2605.25651","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25651","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25651v1","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25651","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"RSDVFN3JE4HV","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"RSDVFN3JE4HV53JN","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"RSDVFN3J","created_at":"2026-05-26T02:04:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RSDVFN3JE4HV53JN3G43KOKZME","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25651","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T09:57:46Z","cross_cats_sorted":[],"title_canon_sha256":"d0e49af1503b0e806e1ff360813a32ce1cddde65f2e95ed3b11ca6dab4947fd4","abstract_canon_sha256":"eaa6d88d02481d5c2371da1f85a208f7f374a1e20d5b486c738421480ba5aa02"},"schema_version":"1.0"},"canonical_sha256":"8c8752b769270f5eed2dd9b9b53959610f0c6ff0b79a253628a0a1d98325861e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:48.302586Z","signature_b64":"VEBXwxYDfNsYQvjYghdEI97vO1gK06vbJDOs+slPZX5a5lBURtNnyoPbuwteC8k6C15x2tPU7a1cCadRzeEPCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c8752b769270f5eed2dd9b9b53959610f0c6ff0b79a253628a0a1d98325861e","last_reissued_at":"2026-05-26T02:04:48.301440Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:48.301440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25651","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-26T02:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hXce+30K+Tj8tp/fg0l0RXQLGM4aXXojwh2yX7PmHGaFJ1S0Ejub1gYwbZ9NLtM0jrSR+bWp6GGXIWw96CiZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T10:46:51.766299Z"},"content_sha256":"5929e211340a3f35357538361359053a3f81f1abc001a9abb969c6215b4f39dd","schema_version":"1.0","event_id":"sha256:5929e211340a3f35357538361359053a3f81f1abc001a9abb969c6215b4f39dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RSDVFN3JE4HV53JN3G43KOKZME","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaofan Qiao, Guoqing Wang, Heng Tao Shen, Jiening Zhang, Mingfeng Zha, Tianyu Li, Yang Yang, Yunqiang Pei","submitted_at":"2026-05-25T09:57:46Z","abstract_excerpt":"Camouflaged object detection (COD) aims to localize targets that exhibit minimal perceptual differences from backgrounds through physical attributes. Existing methods, constrained by the static train-then-freeze paradigm, suffer from domain rigidity and annotation dependency, limiting their adaptability to scene variations and unseen camouflage patterns. To overcome these, we propose the hierarchical consistency learning (HCL) framework, which integrates test-time adaptation for dynamic representation recalibration. Specifically, we design the hierarchical representation reconstruction (HRR) t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25651","kind":"arxiv","version":1},"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/2605.25651/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":"2026-05-26T02:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WDw04ifEk3JHcRuKnuAsNKLIF5+x4JS0l4qm6uETYruAo8PdxiN6NQ2Fa9/qszT+jy538jxeYlQCNZx/CouSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T10:46:51.766688Z"},"content_sha256":"575d5e36bfa34be3a20a7dec2e9c2a666953f15e0f80e6cf5b5d6e76ab22263d","schema_version":"1.0","event_id":"sha256:575d5e36bfa34be3a20a7dec2e9c2a666953f15e0f80e6cf5b5d6e76ab22263d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RSDVFN3JE4HV53JN3G43KOKZME/bundle.json","state_url":"https://pith.science/pith/RSDVFN3JE4HV53JN3G43KOKZME/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RSDVFN3JE4HV53JN3G43KOKZME/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":"2026-05-30T10:46:51Z","links":{"resolver":"https://pith.science/pith/RSDVFN3JE4HV53JN3G43KOKZME","bundle":"https://pith.science/pith/RSDVFN3JE4HV53JN3G43KOKZME/bundle.json","state":"https://pith.science/pith/RSDVFN3JE4HV53JN3G43KOKZME/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RSDVFN3JE4HV53JN3G43KOKZME/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RSDVFN3JE4HV53JN3G43KOKZME","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":"eaa6d88d02481d5c2371da1f85a208f7f374a1e20d5b486c738421480ba5aa02","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T09:57:46Z","title_canon_sha256":"d0e49af1503b0e806e1ff360813a32ce1cddde65f2e95ed3b11ca6dab4947fd4"},"schema_version":"1.0","source":{"id":"2605.25651","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25651","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25651v1","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25651","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"RSDVFN3JE4HV","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"RSDVFN3JE4HV53JN","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"RSDVFN3J","created_at":"2026-05-26T02:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:575d5e36bfa34be3a20a7dec2e9c2a666953f15e0f80e6cf5b5d6e76ab22263d","target":"graph","created_at":"2026-05-26T02:04:48Z","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/2605.25651/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Camouflaged object detection (COD) aims to localize targets that exhibit minimal perceptual differences from backgrounds through physical attributes. Existing methods, constrained by the static train-then-freeze paradigm, suffer from domain rigidity and annotation dependency, limiting their adaptability to scene variations and unseen camouflage patterns. To overcome these, we propose the hierarchical consistency learning (HCL) framework, which integrates test-time adaptation for dynamic representation recalibration. Specifically, we design the hierarchical representation reconstruction (HRR) t","authors_text":"Chaofan Qiao, Guoqing Wang, Heng Tao Shen, Jiening Zhang, Mingfeng Zha, Tianyu Li, Yang Yang, Yunqiang Pei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T09:57:46Z","title":"Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25651","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":"sha256:5929e211340a3f35357538361359053a3f81f1abc001a9abb969c6215b4f39dd","target":"record","created_at":"2026-05-26T02:04:48Z","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":"eaa6d88d02481d5c2371da1f85a208f7f374a1e20d5b486c738421480ba5aa02","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T09:57:46Z","title_canon_sha256":"d0e49af1503b0e806e1ff360813a32ce1cddde65f2e95ed3b11ca6dab4947fd4"},"schema_version":"1.0","source":{"id":"2605.25651","kind":"arxiv","version":1}},"canonical_sha256":"8c8752b769270f5eed2dd9b9b53959610f0c6ff0b79a253628a0a1d98325861e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c8752b769270f5eed2dd9b9b53959610f0c6ff0b79a253628a0a1d98325861e","first_computed_at":"2026-05-26T02:04:48.301440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:48.301440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VEBXwxYDfNsYQvjYghdEI97vO1gK06vbJDOs+slPZX5a5lBURtNnyoPbuwteC8k6C15x2tPU7a1cCadRzeEPCQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:48.302586Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25651","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5929e211340a3f35357538361359053a3f81f1abc001a9abb969c6215b4f39dd","sha256:575d5e36bfa34be3a20a7dec2e9c2a666953f15e0f80e6cf5b5d6e76ab22263d"],"state_sha256":"b1e4512c77c7df62c282054ca00f63af65dfc4c71cecc7b26d20dd51f29d6f55"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YF/Rp4hdRMKzoF34hQHVPANOR8w2Yp/WSvNC5bGtKS2VmsHf2w69pxQrhSrQGUK696Sa1klnZXt+c9otKIm2Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T10:46:51.768718Z","bundle_sha256":"8a16ffc0593eeb8ed47147f7cf4ea95e8581e2d3d3b8e70090f0326ece583842"}}