{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HR22ZBWHPNESDVAQ5OQGK4SNWU","short_pith_number":"pith:HR22ZBWH","canonical_record":{"source":{"id":"2506.00585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T14:42:34Z","cross_cats_sorted":[],"title_canon_sha256":"f1d36602c7008013255237f56c2ea878b35457aa1e6836d51b695492eee39a5f","abstract_canon_sha256":"9337a1e098a8407829022fdf57f12939ce5817a4f7feef718baf6bde3db95c56"},"schema_version":"1.0"},"canonical_sha256":"3c75ac86c77b4921d410eba065724db501257f5793c3e4e23a08c0f327f22fde","source":{"kind":"arxiv","id":"2506.00585","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00585","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00585v1","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00585","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"pith_short_12","alias_value":"HR22ZBWHPNES","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"pith_short_16","alias_value":"HR22ZBWHPNESDVAQ","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"pith_short_8","alias_value":"HR22ZBWH","created_at":"2026-07-05T11:13:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HR22ZBWHPNESDVAQ5OQGK4SNWU","target":"record","payload":{"canonical_record":{"source":{"id":"2506.00585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T14:42:34Z","cross_cats_sorted":[],"title_canon_sha256":"f1d36602c7008013255237f56c2ea878b35457aa1e6836d51b695492eee39a5f","abstract_canon_sha256":"9337a1e098a8407829022fdf57f12939ce5817a4f7feef718baf6bde3db95c56"},"schema_version":"1.0"},"canonical_sha256":"3c75ac86c77b4921d410eba065724db501257f5793c3e4e23a08c0f327f22fde","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:37.405383Z","signature_b64":"CDQte7SDFselrH7j8cP97NZm7/cGov/T6cYpIJBcPVcW7El7lgdRSZ8TDXi1Iessn1icRM78jc1/4bCgnIT5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c75ac86c77b4921d410eba065724db501257f5793c3e4e23a08c0f327f22fde","last_reissued_at":"2026-07-05T11:13:37.404882Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:37.404882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.00585","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":"2026-07-05T11:13:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hj2PVxFQYN41d2KPYU+Ck3JCO7gFj5yoR3jn/ULa1ZfPOWDKvqBVuloTLQOwrXlyf2G2aF/qKGyzgLEVumj1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:16:23.555872Z"},"content_sha256":"f18d91009dbe25da28ab95385783e8b5934b64afdb064f9866d0160c8218603d","schema_version":"1.0","event_id":"sha256:f18d91009dbe25da28ab95385783e8b5934b64afdb064f9866d0160c8218603d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HR22ZBWHPNESDVAQ5OQGK4SNWU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Junlan Feng, Ke Li, Yi Huang, Yucheng Cai, Zhijian Ou","submitted_at":"2025-05-31T14:42:34Z","abstract_excerpt":"A retriever, which retrieves relevant knowledge pieces from a knowledge base given a context, is an important component in many natural language processing (NLP) tasks. Retrievers have been introduced in knowledge-grounded dialog systems to improve knowledge acquisition. In knowledge-grounded dialog systems, when conditioning on a given context, there may be multiple relevant and correlated knowledge pieces. However, knowledge pieces are usually assumed to be conditionally independent in current retriever models. To address this issue, we propose Entriever, an energy-based retriever. Entriever"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00585","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/2506.00585/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":"2026-07-05T11:13:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uxtKJSvGxgx4Wki+SWQVpw2ly36VXdXrNfYDnAnpdEixD3x0wQkvhtSvN961mqmCy49l7wWUxHjBYbS2Kn0ECA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:16:23.556857Z"},"content_sha256":"ae0cc4a7fcb44383492632230843e9f2d8cc23098c1a547c072320b9d8fde88d","schema_version":"1.0","event_id":"sha256:ae0cc4a7fcb44383492632230843e9f2d8cc23098c1a547c072320b9d8fde88d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HR22ZBWHPNESDVAQ5OQGK4SNWU/bundle.json","state_url":"https://pith.science/pith/HR22ZBWHPNESDVAQ5OQGK4SNWU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HR22ZBWHPNESDVAQ5OQGK4SNWU/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":"2026-08-10T17:16:23Z","links":{"resolver":"https://pith.science/pith/HR22ZBWHPNESDVAQ5OQGK4SNWU","bundle":"https://pith.science/pith/HR22ZBWHPNESDVAQ5OQGK4SNWU/bundle.json","state":"https://pith.science/pith/HR22ZBWHPNESDVAQ5OQGK4SNWU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HR22ZBWHPNESDVAQ5OQGK4SNWU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HR22ZBWHPNESDVAQ5OQGK4SNWU","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":"9337a1e098a8407829022fdf57f12939ce5817a4f7feef718baf6bde3db95c56","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T14:42:34Z","title_canon_sha256":"f1d36602c7008013255237f56c2ea878b35457aa1e6836d51b695492eee39a5f"},"schema_version":"1.0","source":{"id":"2506.00585","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00585","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00585v1","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00585","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"pith_short_12","alias_value":"HR22ZBWHPNES","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"pith_short_16","alias_value":"HR22ZBWHPNESDVAQ","created_at":"2026-07-05T11:13:37Z"},{"alias_kind":"pith_short_8","alias_value":"HR22ZBWH","created_at":"2026-07-05T11:13:37Z"}],"graph_snapshots":[{"event_id":"sha256:ae0cc4a7fcb44383492632230843e9f2d8cc23098c1a547c072320b9d8fde88d","target":"graph","created_at":"2026-07-05T11:13:37Z","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/2506.00585/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A retriever, which retrieves relevant knowledge pieces from a knowledge base given a context, is an important component in many natural language processing (NLP) tasks. Retrievers have been introduced in knowledge-grounded dialog systems to improve knowledge acquisition. In knowledge-grounded dialog systems, when conditioning on a given context, there may be multiple relevant and correlated knowledge pieces. However, knowledge pieces are usually assumed to be conditionally independent in current retriever models. To address this issue, we propose Entriever, an energy-based retriever. Entriever","authors_text":"Junlan Feng, Ke Li, Yi Huang, Yucheng Cai, Zhijian Ou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T14:42:34Z","title":"Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00585","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:f18d91009dbe25da28ab95385783e8b5934b64afdb064f9866d0160c8218603d","target":"record","created_at":"2026-07-05T11:13:37Z","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":"9337a1e098a8407829022fdf57f12939ce5817a4f7feef718baf6bde3db95c56","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-31T14:42:34Z","title_canon_sha256":"f1d36602c7008013255237f56c2ea878b35457aa1e6836d51b695492eee39a5f"},"schema_version":"1.0","source":{"id":"2506.00585","kind":"arxiv","version":1}},"canonical_sha256":"3c75ac86c77b4921d410eba065724db501257f5793c3e4e23a08c0f327f22fde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c75ac86c77b4921d410eba065724db501257f5793c3e4e23a08c0f327f22fde","first_computed_at":"2026-07-05T11:13:37.404882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:37.404882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CDQte7SDFselrH7j8cP97NZm7/cGov/T6cYpIJBcPVcW7El7lgdRSZ8TDXi1Iessn1icRM78jc1/4bCgnIT5CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:37.405383Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00585","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f18d91009dbe25da28ab95385783e8b5934b64afdb064f9866d0160c8218603d","sha256:ae0cc4a7fcb44383492632230843e9f2d8cc23098c1a547c072320b9d8fde88d"],"state_sha256":"a4a9a56f5fb26b6f16e4dcdba47bc4b6247735b8a203beab5d174bbb0c7b607e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zmx4o5iF5BDq3sLUv8Gwjihg45wZFKWZ5/IE44DjVHVHUKaxvtvSZQSUN7WCoaNWfXh2mUrmWz3y0oeuQTInCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T17:16:23.578729Z","bundle_sha256":"2a28c829a6f54c215bd17d16238a36345fbcfe8bb4e58759ca4dc6d7832100e8"}}