{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:PJM3WWMLGM7H37WEEYUAXEZHYO","short_pith_number":"pith:PJM3WWML","canonical_record":{"source":{"id":"2305.01279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-02T09:29:12Z","cross_cats_sorted":[],"title_canon_sha256":"de684606f5699b087f1adb37eeee9c9f5defe846cfde72dda98c1aeefd22fb27","abstract_canon_sha256":"544d3d57a9ef5446ec358d8abc4f245d5c251d92ec6f5990f57ca1265a3135cf"},"schema_version":"1.0"},"canonical_sha256":"7a59bb598b333e7dfec426280b9327c3a6ab0f0712d5e415d9ce731830e074cb","source":{"kind":"arxiv","id":"2305.01279","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.01279","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"arxiv_version","alias_value":"2305.01279v1","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.01279","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_12","alias_value":"PJM3WWMLGM7H","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_16","alias_value":"PJM3WWMLGM7H37WE","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_8","alias_value":"PJM3WWML","created_at":"2026-07-05T06:08:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:PJM3WWMLGM7H37WEEYUAXEZHYO","target":"record","payload":{"canonical_record":{"source":{"id":"2305.01279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-02T09:29:12Z","cross_cats_sorted":[],"title_canon_sha256":"de684606f5699b087f1adb37eeee9c9f5defe846cfde72dda98c1aeefd22fb27","abstract_canon_sha256":"544d3d57a9ef5446ec358d8abc4f245d5c251d92ec6f5990f57ca1265a3135cf"},"schema_version":"1.0"},"canonical_sha256":"7a59bb598b333e7dfec426280b9327c3a6ab0f0712d5e415d9ce731830e074cb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:08:28.012495Z","signature_b64":"0pM71XGFEGo/3QbEDXPQcrDOhD1mbKjS7YFM9y37UGsR8rW1czPSqT80ieiXa2XlMHGV2cpwf64EfoPLkpwZAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a59bb598b333e7dfec426280b9327c3a6ab0f0712d5e415d9ce731830e074cb","last_reissued_at":"2026-07-05T06:08:28.011805Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:08:28.011805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.01279","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":"2026-07-05T06:08:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nn/5IvLvzcJjw+gcJBhMQIjedrqaVkNQ19WzbCauDNx1Rs0DfmZo6IoS0FS8aEbupEfEnrjvXfkzGlYwfPCqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:16:22.332695Z"},"content_sha256":"205e071e052a4f02569e4242e5e2d0d591c8e6ba0a6066a4dde3b6012fdbbda6","schema_version":"1.0","event_id":"sha256:205e071e052a4f02569e4242e5e2d0d591c8e6ba0a6066a4dde3b6012fdbbda6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:PJM3WWMLGM7H37WEEYUAXEZHYO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring vision transformer layer choosing for semantic segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangjian Lin, Shengwei Tian, Yizhe Ma","submitted_at":"2023-05-02T09:29:12Z","abstract_excerpt":"Extensive work has demonstrated the effectiveness of Vision Transformers. The plain Vision Transformer tends to obtain multi-scale features by selecting fixed layers, or the last layer of features aiming to achieve higher performance in dense prediction tasks. However, this selection is often based on manual operation. And different samples often exhibit different features at different layers (e.g., edge, structure, texture, detail, etc.). This requires us to seek a dynamic adaptive fusion method to filter different layer features. In this paper, unlike previous encoder and decoder work, we de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.01279","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/2305.01279/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":"2026-07-05T06:08:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Egw9srZsFCuGqIZhKqNmPbQ7jfcVNgzNIs4MYBMqvUQIgsS2/hAEuml5eR4ZWlyp9/SiAfMvXlm3yMUOTM3+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:16:22.339082Z"},"content_sha256":"8fe44cb7781645da7b828d01f806812953b01c6706b85cda7df8d7560fbaf88b","schema_version":"1.0","event_id":"sha256:8fe44cb7781645da7b828d01f806812953b01c6706b85cda7df8d7560fbaf88b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PJM3WWMLGM7H37WEEYUAXEZHYO/bundle.json","state_url":"https://pith.science/pith/PJM3WWMLGM7H37WEEYUAXEZHYO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PJM3WWMLGM7H37WEEYUAXEZHYO/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":"2026-08-03T16:16:22Z","links":{"resolver":"https://pith.science/pith/PJM3WWMLGM7H37WEEYUAXEZHYO","bundle":"https://pith.science/pith/PJM3WWMLGM7H37WEEYUAXEZHYO/bundle.json","state":"https://pith.science/pith/PJM3WWMLGM7H37WEEYUAXEZHYO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PJM3WWMLGM7H37WEEYUAXEZHYO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PJM3WWMLGM7H37WEEYUAXEZHYO","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":"544d3d57a9ef5446ec358d8abc4f245d5c251d92ec6f5990f57ca1265a3135cf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-02T09:29:12Z","title_canon_sha256":"de684606f5699b087f1adb37eeee9c9f5defe846cfde72dda98c1aeefd22fb27"},"schema_version":"1.0","source":{"id":"2305.01279","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.01279","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"arxiv_version","alias_value":"2305.01279v1","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.01279","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_12","alias_value":"PJM3WWMLGM7H","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_16","alias_value":"PJM3WWMLGM7H37WE","created_at":"2026-07-05T06:08:28Z"},{"alias_kind":"pith_short_8","alias_value":"PJM3WWML","created_at":"2026-07-05T06:08:28Z"}],"graph_snapshots":[{"event_id":"sha256:8fe44cb7781645da7b828d01f806812953b01c6706b85cda7df8d7560fbaf88b","target":"graph","created_at":"2026-07-05T06:08:28Z","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/2305.01279/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extensive work has demonstrated the effectiveness of Vision Transformers. The plain Vision Transformer tends to obtain multi-scale features by selecting fixed layers, or the last layer of features aiming to achieve higher performance in dense prediction tasks. However, this selection is often based on manual operation. And different samples often exhibit different features at different layers (e.g., edge, structure, texture, detail, etc.). This requires us to seek a dynamic adaptive fusion method to filter different layer features. In this paper, unlike previous encoder and decoder work, we de","authors_text":"Fangjian Lin, Shengwei Tian, Yizhe Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-02T09:29:12Z","title":"Exploring vision transformer layer choosing for semantic segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.01279","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":"sha256:205e071e052a4f02569e4242e5e2d0d591c8e6ba0a6066a4dde3b6012fdbbda6","target":"record","created_at":"2026-07-05T06:08:28Z","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":"544d3d57a9ef5446ec358d8abc4f245d5c251d92ec6f5990f57ca1265a3135cf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-02T09:29:12Z","title_canon_sha256":"de684606f5699b087f1adb37eeee9c9f5defe846cfde72dda98c1aeefd22fb27"},"schema_version":"1.0","source":{"id":"2305.01279","kind":"arxiv","version":1}},"canonical_sha256":"7a59bb598b333e7dfec426280b9327c3a6ab0f0712d5e415d9ce731830e074cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a59bb598b333e7dfec426280b9327c3a6ab0f0712d5e415d9ce731830e074cb","first_computed_at":"2026-07-05T06:08:28.011805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:08:28.011805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0pM71XGFEGo/3QbEDXPQcrDOhD1mbKjS7YFM9y37UGsR8rW1czPSqT80ieiXa2XlMHGV2cpwf64EfoPLkpwZAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:08:28.012495Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.01279","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:205e071e052a4f02569e4242e5e2d0d591c8e6ba0a6066a4dde3b6012fdbbda6","sha256:8fe44cb7781645da7b828d01f806812953b01c6706b85cda7df8d7560fbaf88b"],"state_sha256":"6ea9b573bb050b88d03d1ba4566e8c831254b5b29a149a18c2ec08445aa5f887"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A810UQ6dwpcddami74XKOFz45q3KOhNEmEpAuFiHP0BLD9gjgkTJg5CvND4CT7rwpHauAVQmF9X5YznOlLn+BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:16:22.346141Z","bundle_sha256":"0f8ac549c5cdbcfea703ca69abe6a91ff8e0273a60d598f559e5e8fcf9f6fef9"}}