{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NLMXJA3KMYLFCC5UBFJYX5NJBH","short_pith_number":"pith:NLMXJA3K","canonical_record":{"source":{"id":"2309.06282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T14:42:22Z","cross_cats_sorted":[],"title_canon_sha256":"a3a7d4bd5ff331322f54b88897d473887a55fba0fa8afc1b18216c1dde1edd88","abstract_canon_sha256":"239de31c50063ee6d590d5a40e80b4ec013a0cc47692ca7aa284a6fb51d15abb"},"schema_version":"1.0"},"canonical_sha256":"6ad974836a6616510bb409538bf5a909d2717625d645037e7328a34eb2124f4b","source":{"kind":"arxiv","id":"2309.06282","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.06282","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"arxiv_version","alias_value":"2309.06282v1","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.06282","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"pith_short_12","alias_value":"NLMXJA3KMYLF","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"pith_short_16","alias_value":"NLMXJA3KMYLFCC5U","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"pith_short_8","alias_value":"NLMXJA3K","created_at":"2026-07-05T06:50:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NLMXJA3KMYLFCC5UBFJYX5NJBH","target":"record","payload":{"canonical_record":{"source":{"id":"2309.06282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T14:42:22Z","cross_cats_sorted":[],"title_canon_sha256":"a3a7d4bd5ff331322f54b88897d473887a55fba0fa8afc1b18216c1dde1edd88","abstract_canon_sha256":"239de31c50063ee6d590d5a40e80b4ec013a0cc47692ca7aa284a6fb51d15abb"},"schema_version":"1.0"},"canonical_sha256":"6ad974836a6616510bb409538bf5a909d2717625d645037e7328a34eb2124f4b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:50:05.968854Z","signature_b64":"6NsG9KMoe5/xDAeBzdgzA/9oKzwPgXcPaGIti0AbxlGrJFpN0cj6L8Eezb+91eq29LXBikyfGzWnyyHFrlVVDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ad974836a6616510bb409538bf5a909d2717625d645037e7328a34eb2124f4b","last_reissued_at":"2026-07-05T06:50:05.968469Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:50:05.968469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.06282","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":"2026-07-05T06:50:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Rd0zkjRBqBB0hUtSJe1++eQOGPt7XWNkKfdtJCYFXo0S9YkxvnrSfNk44aOSsTLFX7ArNv6zt8PfpoYNdCkBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:53:51.774600Z"},"content_sha256":"0633214203418a0d1a8854e75de013efa26793a0f70caeca05274bef03026fce","schema_version":"1.0","event_id":"sha256:0633214203418a0d1a8854e75de013efa26793a0f70caeca05274bef03026fce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NLMXJA3KMYLFCC5UBFJYX5NJBH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huilin Chen, Meng Zheng, Michael Felsberg, Qiyu Sun, Yang Tang, Ziyan Wu","submitted_at":"2023-09-12T14:42:22Z","abstract_excerpt":"Domain generalized semantic segmentation (DGSS) is a critical yet challenging task, where the model is trained only on source data without access to any target data. Despite the proposal of numerous DGSS strategies, the generalization capability remains limited in CNN architectures. Though some Transformer-based segmentation models show promising performance, they primarily focus on capturing intra-sample attentive relationships, disregarding inter-sample correlations which can potentially benefit DGSS. To this end, we enhance the attention modules in Transformer networks for improving DGSS by"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.06282","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/2309.06282/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":"2026-07-05T06:50:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pgTiE3oCUssjRZfuxDtAI7TTzl1fj6qCkAiFxf6xWcebhj+MO7FauJlsB051Q/LMthnNZCXnY5Dp5OqfYBRADg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:53:51.775189Z"},"content_sha256":"70c6745ba4387e2ad6241e8e31520c34d0475ef5e8e80d555afaff5096f2d401","schema_version":"1.0","event_id":"sha256:70c6745ba4387e2ad6241e8e31520c34d0475ef5e8e80d555afaff5096f2d401"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NLMXJA3KMYLFCC5UBFJYX5NJBH/bundle.json","state_url":"https://pith.science/pith/NLMXJA3KMYLFCC5UBFJYX5NJBH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NLMXJA3KMYLFCC5UBFJYX5NJBH/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":"2026-07-07T03:53:51Z","links":{"resolver":"https://pith.science/pith/NLMXJA3KMYLFCC5UBFJYX5NJBH","bundle":"https://pith.science/pith/NLMXJA3KMYLFCC5UBFJYX5NJBH/bundle.json","state":"https://pith.science/pith/NLMXJA3KMYLFCC5UBFJYX5NJBH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NLMXJA3KMYLFCC5UBFJYX5NJBH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NLMXJA3KMYLFCC5UBFJYX5NJBH","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":"239de31c50063ee6d590d5a40e80b4ec013a0cc47692ca7aa284a6fb51d15abb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T14:42:22Z","title_canon_sha256":"a3a7d4bd5ff331322f54b88897d473887a55fba0fa8afc1b18216c1dde1edd88"},"schema_version":"1.0","source":{"id":"2309.06282","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.06282","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"arxiv_version","alias_value":"2309.06282v1","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.06282","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"pith_short_12","alias_value":"NLMXJA3KMYLF","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"pith_short_16","alias_value":"NLMXJA3KMYLFCC5U","created_at":"2026-07-05T06:50:05Z"},{"alias_kind":"pith_short_8","alias_value":"NLMXJA3K","created_at":"2026-07-05T06:50:05Z"}],"graph_snapshots":[{"event_id":"sha256:70c6745ba4387e2ad6241e8e31520c34d0475ef5e8e80d555afaff5096f2d401","target":"graph","created_at":"2026-07-05T06:50:05Z","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/2309.06282/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Domain generalized semantic segmentation (DGSS) is a critical yet challenging task, where the model is trained only on source data without access to any target data. Despite the proposal of numerous DGSS strategies, the generalization capability remains limited in CNN architectures. Though some Transformer-based segmentation models show promising performance, they primarily focus on capturing intra-sample attentive relationships, disregarding inter-sample correlations which can potentially benefit DGSS. To this end, we enhance the attention modules in Transformer networks for improving DGSS by","authors_text":"Huilin Chen, Meng Zheng, Michael Felsberg, Qiyu Sun, Yang Tang, Ziyan Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T14:42:22Z","title":"IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.06282","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":"sha256:0633214203418a0d1a8854e75de013efa26793a0f70caeca05274bef03026fce","target":"record","created_at":"2026-07-05T06:50:05Z","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":"239de31c50063ee6d590d5a40e80b4ec013a0cc47692ca7aa284a6fb51d15abb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-12T14:42:22Z","title_canon_sha256":"a3a7d4bd5ff331322f54b88897d473887a55fba0fa8afc1b18216c1dde1edd88"},"schema_version":"1.0","source":{"id":"2309.06282","kind":"arxiv","version":1}},"canonical_sha256":"6ad974836a6616510bb409538bf5a909d2717625d645037e7328a34eb2124f4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ad974836a6616510bb409538bf5a909d2717625d645037e7328a34eb2124f4b","first_computed_at":"2026-07-05T06:50:05.968469Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:50:05.968469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6NsG9KMoe5/xDAeBzdgzA/9oKzwPgXcPaGIti0AbxlGrJFpN0cj6L8Eezb+91eq29LXBikyfGzWnyyHFrlVVDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:50:05.968854Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.06282","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0633214203418a0d1a8854e75de013efa26793a0f70caeca05274bef03026fce","sha256:70c6745ba4387e2ad6241e8e31520c34d0475ef5e8e80d555afaff5096f2d401"],"state_sha256":"55780bc180e289cf51c2b91f3ad1529ff1473c63e871b72d5ebb837bfff698d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FtfxMlcEODjAlMkguq+aAaIJHk7Boa5Xb7w/K5b91tgJJYSSO7NCL+j82nBo4/o9Qg+2g0KtqQ6Z4mOCZ/HmAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T03:53:51.777952Z","bundle_sha256":"b5673b0eddd9377635d3202bff639fdc43bd4a220417e10679f5dd0e776e2845"}}