{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:BLCK6J75QNUUTCU27G7CVFDYCU","short_pith_number":"pith:BLCK6J75","canonical_record":{"source":{"id":"2010.14543","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T18:22:43Z","cross_cats_sorted":["cs.CV","cs.RO"],"title_canon_sha256":"5f6acb2e4794dac3c24a31a376c5a0447568c4f127b314ec817c24aefb721f89","abstract_canon_sha256":"81930a24e485814de320b71934d1de0ae833990c5422f45ce4e5607c3d13aab1"},"schema_version":"1.0"},"canonical_sha256":"0ac4af27fd8369498a9af9be2a9478153c9aced6806a1c7a06dc01e6fb43719e","source":{"kind":"arxiv","id":"2010.14543","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.14543","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2010.14543v2","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14543","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"BLCK6J75QNUU","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"BLCK6J75QNUUTCU2","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"BLCK6J75","created_at":"2026-07-05T01:51:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:BLCK6J75QNUUTCU27G7CVFDYCU","target":"record","payload":{"canonical_record":{"source":{"id":"2010.14543","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T18:22:43Z","cross_cats_sorted":["cs.CV","cs.RO"],"title_canon_sha256":"5f6acb2e4794dac3c24a31a376c5a0447568c4f127b314ec817c24aefb721f89","abstract_canon_sha256":"81930a24e485814de320b71934d1de0ae833990c5422f45ce4e5607c3d13aab1"},"schema_version":"1.0"},"canonical_sha256":"0ac4af27fd8369498a9af9be2a9478153c9aced6806a1c7a06dc01e6fb43719e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:51:09.784341Z","signature_b64":"gWeoM20GBlK6J/vab3+eUd35AdILatXDjySWZgObx6vP9wvolG0IGxT1My7oaCtfU2mRpJqRrANDK1GMLBlOAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ac4af27fd8369498a9af9be2a9478153c9aced6806a1c7a06dc01e6fb43719e","last_reissued_at":"2026-07-05T01:51:09.783919Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:51:09.783919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.14543","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:51:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qaNK2y6bJhoFvAdx5Zns4Um+kaLxvyM5p/kZwzeKqzSZBRGwof417BAqx6q/WRvgWYo7iao5z09YudqKIqkRAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T16:31:39.977192Z"},"content_sha256":"b158960550698c564cd6c42cb4bbe9c119fe62c48bd4e5a2a043b2b1e6128065","schema_version":"1.0","event_id":"sha256:b158960550698c564cd6c42cb4bbe9c119fe62c48bd4e5a2a043b2b1e6128065"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:BLCK6J75QNUUTCU27G7CVFDYCU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unsupervised Domain Adaptation for Visual Navigation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.RO"],"primary_cat":"cs.LG","authors_text":"Devendra Singh Chaplot, Louis-Philippe Morency, Ruslan Salakhutdinov, Shangda Li, Yao-Hung Hubert Tsai, Yue Wu","submitted_at":"2020-10-27T18:22:43Z","abstract_excerpt":"Advances in visual navigation methods have led to intelligent embodied navigation agents capable of learning meaningful representations from raw RGB images and perform a wide variety of tasks involving structural and semantic reasoning. However, most learning-based navigation policies are trained and tested in simulation environments. In order for these policies to be practically useful, they need to be transferred to the real-world. In this paper, we propose an unsupervised domain adaptation method for visual navigation. Our method translates the images in the target domain to the source doma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14543","kind":"arxiv","version":2},"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/2010.14543/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":"2026-07-05T01:51:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fdPhJD0kwknUGcyEUjuEmkqq0E73vu0Kt8skRwHNfR2mouw5zTVj6MnNtszAq46Dcsy0bosASIbqukOCtD90AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T16:31:39.978047Z"},"content_sha256":"508e091934a510c059c53508b852a167ebd1c335aa397e8c988141b5cfa79d56","schema_version":"1.0","event_id":"sha256:508e091934a510c059c53508b852a167ebd1c335aa397e8c988141b5cfa79d56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BLCK6J75QNUUTCU27G7CVFDYCU/bundle.json","state_url":"https://pith.science/pith/BLCK6J75QNUUTCU27G7CVFDYCU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BLCK6J75QNUUTCU27G7CVFDYCU/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":"2026-08-12T16:31:39Z","links":{"resolver":"https://pith.science/pith/BLCK6J75QNUUTCU27G7CVFDYCU","bundle":"https://pith.science/pith/BLCK6J75QNUUTCU27G7CVFDYCU/bundle.json","state":"https://pith.science/pith/BLCK6J75QNUUTCU27G7CVFDYCU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BLCK6J75QNUUTCU27G7CVFDYCU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:BLCK6J75QNUUTCU27G7CVFDYCU","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":"81930a24e485814de320b71934d1de0ae833990c5422f45ce4e5607c3d13aab1","cross_cats_sorted":["cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T18:22:43Z","title_canon_sha256":"5f6acb2e4794dac3c24a31a376c5a0447568c4f127b314ec817c24aefb721f89"},"schema_version":"1.0","source":{"id":"2010.14543","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.14543","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2010.14543v2","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14543","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"BLCK6J75QNUU","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"BLCK6J75QNUUTCU2","created_at":"2026-07-05T01:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"BLCK6J75","created_at":"2026-07-05T01:51:09Z"}],"graph_snapshots":[{"event_id":"sha256:508e091934a510c059c53508b852a167ebd1c335aa397e8c988141b5cfa79d56","target":"graph","created_at":"2026-07-05T01:51:09Z","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/2010.14543/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Advances in visual navigation methods have led to intelligent embodied navigation agents capable of learning meaningful representations from raw RGB images and perform a wide variety of tasks involving structural and semantic reasoning. However, most learning-based navigation policies are trained and tested in simulation environments. In order for these policies to be practically useful, they need to be transferred to the real-world. In this paper, we propose an unsupervised domain adaptation method for visual navigation. Our method translates the images in the target domain to the source doma","authors_text":"Devendra Singh Chaplot, Louis-Philippe Morency, Ruslan Salakhutdinov, Shangda Li, Yao-Hung Hubert Tsai, Yue Wu","cross_cats":["cs.CV","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T18:22:43Z","title":"Unsupervised Domain Adaptation for Visual Navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14543","kind":"arxiv","version":2},"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:b158960550698c564cd6c42cb4bbe9c119fe62c48bd4e5a2a043b2b1e6128065","target":"record","created_at":"2026-07-05T01:51:09Z","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":"81930a24e485814de320b71934d1de0ae833990c5422f45ce4e5607c3d13aab1","cross_cats_sorted":["cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T18:22:43Z","title_canon_sha256":"5f6acb2e4794dac3c24a31a376c5a0447568c4f127b314ec817c24aefb721f89"},"schema_version":"1.0","source":{"id":"2010.14543","kind":"arxiv","version":2}},"canonical_sha256":"0ac4af27fd8369498a9af9be2a9478153c9aced6806a1c7a06dc01e6fb43719e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ac4af27fd8369498a9af9be2a9478153c9aced6806a1c7a06dc01e6fb43719e","first_computed_at":"2026-07-05T01:51:09.783919Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:51:09.783919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gWeoM20GBlK6J/vab3+eUd35AdILatXDjySWZgObx6vP9wvolG0IGxT1My7oaCtfU2mRpJqRrANDK1GMLBlOAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:51:09.784341Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.14543","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b158960550698c564cd6c42cb4bbe9c119fe62c48bd4e5a2a043b2b1e6128065","sha256:508e091934a510c059c53508b852a167ebd1c335aa397e8c988141b5cfa79d56"],"state_sha256":"cbc9d17a267078a0f672013e6a58ac84d80462e7eef0f133074f927820289fae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CJEnh9fZx5of5I35qU1ApegDWMdQHH4oD0E8Li8dLZInl+MpVSw2x8M65I46d5Ww9vP/MNpuT8GUVNPR+yEkBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T16:31:39.982533Z","bundle_sha256":"0bfd3257e6a1ac5362976a2321020bc23e3f4854c6b27e5b39425da5423fc936"}}