{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GTSEMOHPXDCJODYVLCOI5POWKT","short_pith_number":"pith:GTSEMOHP","canonical_record":{"source":{"id":"2205.13267","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-26T10:49:43Z","cross_cats_sorted":[],"title_canon_sha256":"c446f72b187c7d63a38bb0db3c76d602615b8cadac60bd38b2c997728e2b5bbf","abstract_canon_sha256":"ac03e24dc987a88e4e52b118e25af6604a378d46c0857aece13c39c4a51d5ebb"},"schema_version":"1.0"},"canonical_sha256":"34e44638efb8c4970f15589c8ebdd654cb862845081733a4e91a0ad7d9236e76","source":{"kind":"arxiv","id":"2205.13267","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.13267","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"arxiv_version","alias_value":"2205.13267v1","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.13267","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"pith_short_12","alias_value":"GTSEMOHPXDCJ","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"GTSEMOHPXDCJODYV","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"GTSEMOHP","created_at":"2026-07-05T04:26:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GTSEMOHPXDCJODYVLCOI5POWKT","target":"record","payload":{"canonical_record":{"source":{"id":"2205.13267","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-26T10:49:43Z","cross_cats_sorted":[],"title_canon_sha256":"c446f72b187c7d63a38bb0db3c76d602615b8cadac60bd38b2c997728e2b5bbf","abstract_canon_sha256":"ac03e24dc987a88e4e52b118e25af6604a378d46c0857aece13c39c4a51d5ebb"},"schema_version":"1.0"},"canonical_sha256":"34e44638efb8c4970f15589c8ebdd654cb862845081733a4e91a0ad7d9236e76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:26:41.414389Z","signature_b64":"fUsif/qVaJONlm1Rm5efXnJEJ/3zdwFJXqDdc5rVx9pDPNszpipE1V265+VT0zZ1q4bBgCeVGEiKZZUdDF/nDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34e44638efb8c4970f15589c8ebdd654cb862845081733a4e91a0ad7d9236e76","last_reissued_at":"2026-07-05T04:26:41.413896Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:26:41.413896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.13267","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":"2026-07-05T04:26:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wZV9l2r6aJxvTyIegm9hQvy1xXCYxZl3/3PCPfw5RI8ttGppl/mAdb15g0eHX87LHnPG37e4VzQQMLEb48nvCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:02:39.130312Z"},"content_sha256":"1486addf8471fb74430abe3cbc6e3052a89dd6fc1b27f24cb63d6c322c8ebf39","schema_version":"1.0","event_id":"sha256:1486addf8471fb74430abe3cbc6e3052a89dd6fc1b27f24cb63d6c322c8ebf39"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GTSEMOHPXDCJODYVLCOI5POWKT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chunjing Xu, Hang Xu, Jianhua Han, Kai Chen, Lanqing Hong, Zhenguo Li, Zhili Liu","submitted_at":"2022-05-26T10:49:43Z","abstract_excerpt":"Self-supervised learning (SSL), especially contrastive methods, has raised attraction recently as it learns effective transferable representations without semantic annotations. A common practice for self-supervised pre-training is to use as much data as possible. For a specific downstream task, however, involving irrelevant data in pre-training may degenerate the downstream performance, observed from our extensive experiments. On the other hand, for existing SSL methods, it is burdensome and infeasible to use different downstream-task-customized datasets in pre-training for different tasks. To"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.13267","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/2205.13267/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":"2026-07-05T04:26:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tfZsAL8OALuSnQTDdB8D4MTOC/ARVnXOLQSa8CYDc/596sQa+IE9vSPtT1hIEfYbG5NxH7XCnH+W8eIgJNp5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:02:39.130819Z"},"content_sha256":"e15bdfbf5cd87f7bedf89444ced8dca44da6fa38a1f90820a8c67cc3da98f9af","schema_version":"1.0","event_id":"sha256:e15bdfbf5cd87f7bedf89444ced8dca44da6fa38a1f90820a8c67cc3da98f9af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GTSEMOHPXDCJODYVLCOI5POWKT/bundle.json","state_url":"https://pith.science/pith/GTSEMOHPXDCJODYVLCOI5POWKT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GTSEMOHPXDCJODYVLCOI5POWKT/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":"2026-08-07T08:02:39Z","links":{"resolver":"https://pith.science/pith/GTSEMOHPXDCJODYVLCOI5POWKT","bundle":"https://pith.science/pith/GTSEMOHPXDCJODYVLCOI5POWKT/bundle.json","state":"https://pith.science/pith/GTSEMOHPXDCJODYVLCOI5POWKT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GTSEMOHPXDCJODYVLCOI5POWKT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GTSEMOHPXDCJODYVLCOI5POWKT","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":"ac03e24dc987a88e4e52b118e25af6604a378d46c0857aece13c39c4a51d5ebb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-26T10:49:43Z","title_canon_sha256":"c446f72b187c7d63a38bb0db3c76d602615b8cadac60bd38b2c997728e2b5bbf"},"schema_version":"1.0","source":{"id":"2205.13267","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.13267","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"arxiv_version","alias_value":"2205.13267v1","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.13267","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"pith_short_12","alias_value":"GTSEMOHPXDCJ","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"GTSEMOHPXDCJODYV","created_at":"2026-07-05T04:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"GTSEMOHP","created_at":"2026-07-05T04:26:41Z"}],"graph_snapshots":[{"event_id":"sha256:e15bdfbf5cd87f7bedf89444ced8dca44da6fa38a1f90820a8c67cc3da98f9af","target":"graph","created_at":"2026-07-05T04:26:41Z","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/2205.13267/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning (SSL), especially contrastive methods, has raised attraction recently as it learns effective transferable representations without semantic annotations. A common practice for self-supervised pre-training is to use as much data as possible. For a specific downstream task, however, involving irrelevant data in pre-training may degenerate the downstream performance, observed from our extensive experiments. On the other hand, for existing SSL methods, it is burdensome and infeasible to use different downstream-task-customized datasets in pre-training for different tasks. To","authors_text":"Chunjing Xu, Hang Xu, Jianhua Han, Kai Chen, Lanqing Hong, Zhenguo Li, Zhili Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-26T10:49:43Z","title":"Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.13267","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":"sha256:1486addf8471fb74430abe3cbc6e3052a89dd6fc1b27f24cb63d6c322c8ebf39","target":"record","created_at":"2026-07-05T04:26:41Z","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":"ac03e24dc987a88e4e52b118e25af6604a378d46c0857aece13c39c4a51d5ebb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-26T10:49:43Z","title_canon_sha256":"c446f72b187c7d63a38bb0db3c76d602615b8cadac60bd38b2c997728e2b5bbf"},"schema_version":"1.0","source":{"id":"2205.13267","kind":"arxiv","version":1}},"canonical_sha256":"34e44638efb8c4970f15589c8ebdd654cb862845081733a4e91a0ad7d9236e76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34e44638efb8c4970f15589c8ebdd654cb862845081733a4e91a0ad7d9236e76","first_computed_at":"2026-07-05T04:26:41.413896Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:26:41.413896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fUsif/qVaJONlm1Rm5efXnJEJ/3zdwFJXqDdc5rVx9pDPNszpipE1V265+VT0zZ1q4bBgCeVGEiKZZUdDF/nDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:26:41.414389Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.13267","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1486addf8471fb74430abe3cbc6e3052a89dd6fc1b27f24cb63d6c322c8ebf39","sha256:e15bdfbf5cd87f7bedf89444ced8dca44da6fa38a1f90820a8c67cc3da98f9af"],"state_sha256":"d1f3be0dead5967787ef95f63c1a73d32a8ef928f47a8b197751212631d363c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"98S8Fhz6WuQ/AyoqBxe51kh2XtvZo0gzMhiBtIhLXH+4QJyfyIvAiFLGZuVlt9b/RZQEEkhgJMSbgMTTP3vrBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:02:39.136171Z","bundle_sha256":"1b039e26905afbe0be8cdaf81d8c3e5956570697acdcc726515d723b9231c6ca"}}