{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ITZQX3MADIMPTQ6FE6EO22WWY5","short_pith_number":"pith:ITZQX3MA","canonical_record":{"source":{"id":"2404.18801","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T15:40:40Z","cross_cats_sorted":["cs.LG","cs.SE"],"title_canon_sha256":"d486e884c3d482447d4f8fb69cae8c98b854b6fce23ee285ed266f575480ca09","abstract_canon_sha256":"b9fb0e22a858df3a39707b339fdc938f8ecf131fa6dfbe55ec297e61000f35d4"},"schema_version":"1.0"},"canonical_sha256":"44f30bed801a18f9c3c52788ed6ad6c7515c5de5e8f7006cf60248621f041ce8","source":{"kind":"arxiv","id":"2404.18801","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18801","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18801v1","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18801","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"ITZQX3MADIMP","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"ITZQX3MADIMPTQ6F","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"ITZQX3MA","created_at":"2026-07-05T08:13:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ITZQX3MADIMPTQ6FE6EO22WWY5","target":"record","payload":{"canonical_record":{"source":{"id":"2404.18801","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T15:40:40Z","cross_cats_sorted":["cs.LG","cs.SE"],"title_canon_sha256":"d486e884c3d482447d4f8fb69cae8c98b854b6fce23ee285ed266f575480ca09","abstract_canon_sha256":"b9fb0e22a858df3a39707b339fdc938f8ecf131fa6dfbe55ec297e61000f35d4"},"schema_version":"1.0"},"canonical_sha256":"44f30bed801a18f9c3c52788ed6ad6c7515c5de5e8f7006cf60248621f041ce8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:21.002288Z","signature_b64":"d7EquDH157J4WKnkhks6PvqQkzzhGOX15iiZRfyrUIs2GPb2ORMNuyA+aXRK9dgMGKi4YXWYBEevazO9WdRJCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44f30bed801a18f9c3c52788ed6ad6c7515c5de5e8f7006cf60248621f041ce8","last_reissued_at":"2026-07-05T08:13:21.001824Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:21.001824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.18801","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":"2026-07-05T08:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"US0aZv2yZAcnbXHwtYJijHOOm1bN147jAmmxtreWepg97BmD+MMFaUfDH7BdZDUEdXC044VkybJ8CtQa9mY/Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:19:17.634740Z"},"content_sha256":"4ebc4f0083a0db72654ba068cdb49340b0f2dd0da086fb8208c3167e2c8bc6cb","schema_version":"1.0","event_id":"sha256:4ebc4f0083a0db72654ba068cdb49340b0f2dd0da086fb8208c3167e2c8bc6cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ITZQX3MADIMPTQ6FE6EO22WWY5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SE"],"primary_cat":"cs.CV","authors_text":"Akshath R. Ravikiran, James C. Davis, Vishal Purohit, Wenxin Jiang","submitted_at":"2024-04-29T15:40:40Z","abstract_excerpt":"This paper undertakes the task of replicating the MaskFormer model a universal image segmentation model originally developed using the PyTorch framework, within the TensorFlow ecosystem, specifically optimized for execution on Tensor Processing Units (TPUs). Our implementation exploits the modular constructs available within the TensorFlow Model Garden (TFMG), encompassing elements such as the data loader, training orchestrator, and various architectural components, tailored and adapted to meet the specifications of the MaskFormer model. We address key challenges encountered during the replica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18801","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/2404.18801/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":"2026-07-05T08:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"np37YU7IadLkU32Tnf9xsxGRZumKPvX/ZiilSZmxdcH/9cj2mWpbRVNhhDNMzDh3Bm8LsQYvPZJE3ZRqaeuEDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:19:17.635441Z"},"content_sha256":"65028ec8f77f4e24bcb5d53ea16c91ae5090af85da34d2dc318c9efd4761d1d0","schema_version":"1.0","event_id":"sha256:65028ec8f77f4e24bcb5d53ea16c91ae5090af85da34d2dc318c9efd4761d1d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ITZQX3MADIMPTQ6FE6EO22WWY5/bundle.json","state_url":"https://pith.science/pith/ITZQX3MADIMPTQ6FE6EO22WWY5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ITZQX3MADIMPTQ6FE6EO22WWY5/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":"2026-08-18T22:19:17Z","links":{"resolver":"https://pith.science/pith/ITZQX3MADIMPTQ6FE6EO22WWY5","bundle":"https://pith.science/pith/ITZQX3MADIMPTQ6FE6EO22WWY5/bundle.json","state":"https://pith.science/pith/ITZQX3MADIMPTQ6FE6EO22WWY5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ITZQX3MADIMPTQ6FE6EO22WWY5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ITZQX3MADIMPTQ6FE6EO22WWY5","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":"b9fb0e22a858df3a39707b339fdc938f8ecf131fa6dfbe55ec297e61000f35d4","cross_cats_sorted":["cs.LG","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T15:40:40Z","title_canon_sha256":"d486e884c3d482447d4f8fb69cae8c98b854b6fce23ee285ed266f575480ca09"},"schema_version":"1.0","source":{"id":"2404.18801","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18801","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18801v1","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18801","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"ITZQX3MADIMP","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"ITZQX3MADIMPTQ6F","created_at":"2026-07-05T08:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"ITZQX3MA","created_at":"2026-07-05T08:13:21Z"}],"graph_snapshots":[{"event_id":"sha256:65028ec8f77f4e24bcb5d53ea16c91ae5090af85da34d2dc318c9efd4761d1d0","target":"graph","created_at":"2026-07-05T08:13:21Z","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/2404.18801/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper undertakes the task of replicating the MaskFormer model a universal image segmentation model originally developed using the PyTorch framework, within the TensorFlow ecosystem, specifically optimized for execution on Tensor Processing Units (TPUs). Our implementation exploits the modular constructs available within the TensorFlow Model Garden (TFMG), encompassing elements such as the data loader, training orchestrator, and various architectural components, tailored and adapted to meet the specifications of the MaskFormer model. We address key challenges encountered during the replica","authors_text":"Akshath R. Ravikiran, James C. Davis, Vishal Purohit, Wenxin Jiang","cross_cats":["cs.LG","cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T15:40:40Z","title":"A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18801","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":"sha256:4ebc4f0083a0db72654ba068cdb49340b0f2dd0da086fb8208c3167e2c8bc6cb","target":"record","created_at":"2026-07-05T08:13:21Z","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":"b9fb0e22a858df3a39707b339fdc938f8ecf131fa6dfbe55ec297e61000f35d4","cross_cats_sorted":["cs.LG","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-29T15:40:40Z","title_canon_sha256":"d486e884c3d482447d4f8fb69cae8c98b854b6fce23ee285ed266f575480ca09"},"schema_version":"1.0","source":{"id":"2404.18801","kind":"arxiv","version":1}},"canonical_sha256":"44f30bed801a18f9c3c52788ed6ad6c7515c5de5e8f7006cf60248621f041ce8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44f30bed801a18f9c3c52788ed6ad6c7515c5de5e8f7006cf60248621f041ce8","first_computed_at":"2026-07-05T08:13:21.001824Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:21.001824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d7EquDH157J4WKnkhks6PvqQkzzhGOX15iiZRfyrUIs2GPb2ORMNuyA+aXRK9dgMGKi4YXWYBEevazO9WdRJCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:21.002288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.18801","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ebc4f0083a0db72654ba068cdb49340b0f2dd0da086fb8208c3167e2c8bc6cb","sha256:65028ec8f77f4e24bcb5d53ea16c91ae5090af85da34d2dc318c9efd4761d1d0"],"state_sha256":"fe45e3991cfae4ccaf35d2d5a814a66dc9d2629118161bcecd90088e2f96199d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J42DVuCVPTempJn5g6KZEYhcVZXjZWKOLDELHNUlIQNvxQWlIb1/nyJnUKqxsgDexAjBG6q5lviiGNwzOd/dDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:19:17.639613Z","bundle_sha256":"83085048856fb2af733e8036f3a6c1e9d6f324abb657c11f601858e86c66fd9f"}}