{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AQ332N5UX7JJQYOPXW7CMGJWYM","short_pith_number":"pith:AQ332N5U","canonical_record":{"source":{"id":"2403.06267","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-03-10T17:07:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"42f3a21a64ee990a80bc61e9f5e8e5d446e30517b4ba43b74e2e1e83666c6fbb","abstract_canon_sha256":"e7cbacddef37a067908dccca57e804407a7fc9ce6da6f0623bc2d62c22f63e35"},"schema_version":"1.0"},"canonical_sha256":"0437bd37b4bfd29861cfbdbe261936c30c1a13f316dd8ed6acb78aaa8db2a844","source":{"kind":"arxiv","id":"2403.06267","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06267","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06267v1","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06267","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"AQ332N5UX7JJ","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_16","alias_value":"AQ332N5UX7JJQYOP","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_8","alias_value":"AQ332N5U","created_at":"2026-07-05T07:54:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AQ332N5UX7JJQYOPXW7CMGJWYM","target":"record","payload":{"canonical_record":{"source":{"id":"2403.06267","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-03-10T17:07:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"42f3a21a64ee990a80bc61e9f5e8e5d446e30517b4ba43b74e2e1e83666c6fbb","abstract_canon_sha256":"e7cbacddef37a067908dccca57e804407a7fc9ce6da6f0623bc2d62c22f63e35"},"schema_version":"1.0"},"canonical_sha256":"0437bd37b4bfd29861cfbdbe261936c30c1a13f316dd8ed6acb78aaa8db2a844","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:54:21.326615Z","signature_b64":"9nkGAJUErWe2FXKBw3Gc4YUsveruNfoYum/YJ+/X9HrkYe1CGxDcukUMwMq+Wx0TnK2jUK/GX+/RgD7F0EBMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0437bd37b4bfd29861cfbdbe261936c30c1a13f316dd8ed6acb78aaa8db2a844","last_reissued_at":"2026-07-05T07:54:21.326133Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:54:21.326133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.06267","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":"2026-07-05T07:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kCOGnXv38MwYqECnaflId+GduQMJA6M7l/ijCz/tssu4hv3C+5ZGmpfX911Iol5Yhi0whHTAkjA5bWg9TNcmBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T04:06:41.753685Z"},"content_sha256":"e8e5809520611da49f8c57ac084bc5ad91cc20660cc97263d6d95b7ad369925a","schema_version":"1.0","event_id":"sha256:e8e5809520611da49f8c57ac084bc5ad91cc20660cc97263d6d95b7ad369925a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AQ332N5UX7JJQYOPXW7CMGJWYM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Chuhan Shi, Hanfang Lyu, Leiliang Gong, Mingfei Sun, Ming Ge, Ujaan Das, Xiaojuan Ma, Xin Liang, Yingchi Li, Yuanchen Bai","submitted_at":"2024-03-10T17:07:20Z","abstract_excerpt":"Preference-based learning aims to align robot task objectives with human values. One of the most common methods to infer human preferences is by pairwise comparisons of robot task trajectories. Traditional comparison-based preference labeling systems seldom support labelers to digest and identify critical differences between complex trajectories recorded in videos. Our formative study (N = 12) suggests that individuals may overlook non-salient task features and establish biased preference criteria during their preference elicitation process because of partial observations. In addition, they ma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06267","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/2403.06267/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":"2026-07-05T07:54:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UMDRodIqlBZxMBDtDj4OxusWVIVpDuS1ir4XoyQDsVW+UqSGMDrywYBVu3cBTPKgeV0nB7pzz8K7WaCo0XJKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T04:06:41.754224Z"},"content_sha256":"74f1da61c0a25ed6f59e098e27aa064f5a02237199ffc03136e15a2d8dd1ff9d","schema_version":"1.0","event_id":"sha256:74f1da61c0a25ed6f59e098e27aa064f5a02237199ffc03136e15a2d8dd1ff9d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AQ332N5UX7JJQYOPXW7CMGJWYM/bundle.json","state_url":"https://pith.science/pith/AQ332N5UX7JJQYOPXW7CMGJWYM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AQ332N5UX7JJQYOPXW7CMGJWYM/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":"2026-08-22T04:06:41Z","links":{"resolver":"https://pith.science/pith/AQ332N5UX7JJQYOPXW7CMGJWYM","bundle":"https://pith.science/pith/AQ332N5UX7JJQYOPXW7CMGJWYM/bundle.json","state":"https://pith.science/pith/AQ332N5UX7JJQYOPXW7CMGJWYM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AQ332N5UX7JJQYOPXW7CMGJWYM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AQ332N5UX7JJQYOPXW7CMGJWYM","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":"e7cbacddef37a067908dccca57e804407a7fc9ce6da6f0623bc2d62c22f63e35","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-03-10T17:07:20Z","title_canon_sha256":"42f3a21a64ee990a80bc61e9f5e8e5d446e30517b4ba43b74e2e1e83666c6fbb"},"schema_version":"1.0","source":{"id":"2403.06267","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06267","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06267v1","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06267","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_12","alias_value":"AQ332N5UX7JJ","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_16","alias_value":"AQ332N5UX7JJQYOP","created_at":"2026-07-05T07:54:21Z"},{"alias_kind":"pith_short_8","alias_value":"AQ332N5U","created_at":"2026-07-05T07:54:21Z"}],"graph_snapshots":[{"event_id":"sha256:74f1da61c0a25ed6f59e098e27aa064f5a02237199ffc03136e15a2d8dd1ff9d","target":"graph","created_at":"2026-07-05T07:54:21Z","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/2403.06267/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Preference-based learning aims to align robot task objectives with human values. One of the most common methods to infer human preferences is by pairwise comparisons of robot task trajectories. Traditional comparison-based preference labeling systems seldom support labelers to digest and identify critical differences between complex trajectories recorded in videos. Our formative study (N = 12) suggests that individuals may overlook non-salient task features and establish biased preference criteria during their preference elicitation process because of partial observations. In addition, they ma","authors_text":"Chuhan Shi, Hanfang Lyu, Leiliang Gong, Mingfei Sun, Ming Ge, Ujaan Das, Xiaojuan Ma, Xin Liang, Yingchi Li, Yuanchen Bai","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-03-10T17:07:20Z","title":"FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06267","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:e8e5809520611da49f8c57ac084bc5ad91cc20660cc97263d6d95b7ad369925a","target":"record","created_at":"2026-07-05T07:54:21Z","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":"e7cbacddef37a067908dccca57e804407a7fc9ce6da6f0623bc2d62c22f63e35","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-03-10T17:07:20Z","title_canon_sha256":"42f3a21a64ee990a80bc61e9f5e8e5d446e30517b4ba43b74e2e1e83666c6fbb"},"schema_version":"1.0","source":{"id":"2403.06267","kind":"arxiv","version":1}},"canonical_sha256":"0437bd37b4bfd29861cfbdbe261936c30c1a13f316dd8ed6acb78aaa8db2a844","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0437bd37b4bfd29861cfbdbe261936c30c1a13f316dd8ed6acb78aaa8db2a844","first_computed_at":"2026-07-05T07:54:21.326133Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:21.326133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9nkGAJUErWe2FXKBw3Gc4YUsveruNfoYum/YJ+/X9HrkYe1CGxDcukUMwMq+Wx0TnK2jUK/GX+/RgD7F0EBMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:21.326615Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.06267","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8e5809520611da49f8c57ac084bc5ad91cc20660cc97263d6d95b7ad369925a","sha256:74f1da61c0a25ed6f59e098e27aa064f5a02237199ffc03136e15a2d8dd1ff9d"],"state_sha256":"2f216e88490be6e1f87d3e667cb134c84c8acaa4e4cbe0aae363081faf9e058d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oGXvPCRPR7P7cSSJZzcEe+sC3dEwk4AlGtWWNcdOqP8gRy2CnLYXJ4RzDQAwkQuc+fEF8PqeFjRSOOtT+4DwCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T04:06:41.758759Z","bundle_sha256":"97df56099c2087e441423c6cc3709c23418e87ee08fe4731bcd2c318c5a31a64"}}