{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QG2SAPON27JVEYC43WF7D6FBVW","short_pith_number":"pith:QG2SAPON","canonical_record":{"source":{"id":"2410.13339","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T08:48:54Z","cross_cats_sorted":[],"title_canon_sha256":"3d74f14d04562321d09a69d3c1e309aaf993d25682430edaf20d9177094a7354","abstract_canon_sha256":"16771fa379988565e282acc32e44a67d108d7092cec07f5cd5e6b1163e881956"},"schema_version":"1.0"},"canonical_sha256":"81b5203dcdd7d352605cdd8bf1f8a1adb638c84af569e52efa7c6342a98a1d36","source":{"kind":"arxiv","id":"2410.13339","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.13339","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"arxiv_version","alias_value":"2410.13339v2","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.13339","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"pith_short_12","alias_value":"QG2SAPON27JV","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"pith_short_16","alias_value":"QG2SAPON27JVEYC4","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"pith_short_8","alias_value":"QG2SAPON","created_at":"2026-07-05T10:21:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QG2SAPON27JVEYC43WF7D6FBVW","target":"record","payload":{"canonical_record":{"source":{"id":"2410.13339","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T08:48:54Z","cross_cats_sorted":[],"title_canon_sha256":"3d74f14d04562321d09a69d3c1e309aaf993d25682430edaf20d9177094a7354","abstract_canon_sha256":"16771fa379988565e282acc32e44a67d108d7092cec07f5cd5e6b1163e881956"},"schema_version":"1.0"},"canonical_sha256":"81b5203dcdd7d352605cdd8bf1f8a1adb638c84af569e52efa7c6342a98a1d36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:04.944472Z","signature_b64":"He9IhcWqzeYaRvt+tVad4K2IwE9II4AK9hSUfN+3dvgIveE0nZzdWL9PPyqcHfL0HzgdxED64CHQhuu0F7L/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81b5203dcdd7d352605cdd8bf1f8a1adb638c84af569e52efa7c6342a98a1d36","last_reissued_at":"2026-07-05T10:21:04.943861Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:04.943861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.13339","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":"2026-07-05T10:21:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lwV5xNaa9s9oej40PzWcE1BpQoYqjeUILnoHAX3TbvuzgWxF+rq5ti0JL8OcN7iC+iP1Du2dJnf81bBtiN4RCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:12:13.756632Z"},"content_sha256":"99e22bf2297140a5b35fb6defd8599cc9bd03673289d0bea699d0ee81588a239","schema_version":"1.0","event_id":"sha256:99e22bf2297140a5b35fb6defd8599cc9bd03673289d0bea699d0ee81588a239"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QG2SAPON27JVEYC43WF7D6FBVW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Byeongjeong Kim, Hwan Chang, Hwanhee Lee, Ingeol Baek, Jimin Lee","submitted_at":"2024-10-17T08:48:54Z","abstract_excerpt":"Retrieval-Augmented Generation (RAG) enhances language models by retrieving and incorporating relevant external knowledge. However, traditional retrieve-and-generate processes may not be optimized for real-world scenarios, where queries might require multiple retrieval steps or none at all. In this paper, we propose a Probing-RAG, which utilizes the hidden state representations from the intermediate layers of language models to adaptively determine the necessity of additional retrievals for a given query. By employing a pre-trained prober, Probing-RAG effectively captures the model's internal "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.13339","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/2410.13339/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":"2026-07-05T10:21:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w9WYHPlVox5q5D4RqKqjQy4/e90RjepsdnxXdLKg78mcugV1cHRAsEYStoDYPG6WFtEGB0RCkDXC+AwHO40SCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:12:13.757143Z"},"content_sha256":"42efe8434c956af85062c677b0d388db94a978583dd4ed0d324dcd6497b853b5","schema_version":"1.0","event_id":"sha256:42efe8434c956af85062c677b0d388db94a978583dd4ed0d324dcd6497b853b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QG2SAPON27JVEYC43WF7D6FBVW/bundle.json","state_url":"https://pith.science/pith/QG2SAPON27JVEYC43WF7D6FBVW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QG2SAPON27JVEYC43WF7D6FBVW/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":"2026-08-07T00:12:13Z","links":{"resolver":"https://pith.science/pith/QG2SAPON27JVEYC43WF7D6FBVW","bundle":"https://pith.science/pith/QG2SAPON27JVEYC43WF7D6FBVW/bundle.json","state":"https://pith.science/pith/QG2SAPON27JVEYC43WF7D6FBVW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QG2SAPON27JVEYC43WF7D6FBVW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QG2SAPON27JVEYC43WF7D6FBVW","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":"16771fa379988565e282acc32e44a67d108d7092cec07f5cd5e6b1163e881956","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T08:48:54Z","title_canon_sha256":"3d74f14d04562321d09a69d3c1e309aaf993d25682430edaf20d9177094a7354"},"schema_version":"1.0","source":{"id":"2410.13339","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.13339","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"arxiv_version","alias_value":"2410.13339v2","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.13339","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"pith_short_12","alias_value":"QG2SAPON27JV","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"pith_short_16","alias_value":"QG2SAPON27JVEYC4","created_at":"2026-07-05T10:21:04Z"},{"alias_kind":"pith_short_8","alias_value":"QG2SAPON","created_at":"2026-07-05T10:21:04Z"}],"graph_snapshots":[{"event_id":"sha256:42efe8434c956af85062c677b0d388db94a978583dd4ed0d324dcd6497b853b5","target":"graph","created_at":"2026-07-05T10:21:04Z","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/2410.13339/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval-Augmented Generation (RAG) enhances language models by retrieving and incorporating relevant external knowledge. However, traditional retrieve-and-generate processes may not be optimized for real-world scenarios, where queries might require multiple retrieval steps or none at all. In this paper, we propose a Probing-RAG, which utilizes the hidden state representations from the intermediate layers of language models to adaptively determine the necessity of additional retrievals for a given query. By employing a pre-trained prober, Probing-RAG effectively captures the model's internal ","authors_text":"Byeongjeong Kim, Hwan Chang, Hwanhee Lee, Ingeol Baek, Jimin Lee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T08:48:54Z","title":"Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.13339","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":"sha256:99e22bf2297140a5b35fb6defd8599cc9bd03673289d0bea699d0ee81588a239","target":"record","created_at":"2026-07-05T10:21:04Z","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":"16771fa379988565e282acc32e44a67d108d7092cec07f5cd5e6b1163e881956","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T08:48:54Z","title_canon_sha256":"3d74f14d04562321d09a69d3c1e309aaf993d25682430edaf20d9177094a7354"},"schema_version":"1.0","source":{"id":"2410.13339","kind":"arxiv","version":2}},"canonical_sha256":"81b5203dcdd7d352605cdd8bf1f8a1adb638c84af569e52efa7c6342a98a1d36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81b5203dcdd7d352605cdd8bf1f8a1adb638c84af569e52efa7c6342a98a1d36","first_computed_at":"2026-07-05T10:21:04.943861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:04.943861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"He9IhcWqzeYaRvt+tVad4K2IwE9II4AK9hSUfN+3dvgIveE0nZzdWL9PPyqcHfL0HzgdxED64CHQhuu0F7L/Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:04.944472Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.13339","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99e22bf2297140a5b35fb6defd8599cc9bd03673289d0bea699d0ee81588a239","sha256:42efe8434c956af85062c677b0d388db94a978583dd4ed0d324dcd6497b853b5"],"state_sha256":"3e68d83250b703a69083ecc28afb77960589d761f7602c02c90943f6368e0c91"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yhY0uj9730FJJwUBzQ2FKdwgKfGGvzz234FtrjL+j9fYdsrRUwhUZeSjYv3n+CUxWhIiWmL5Gn9+aCgRJTPUBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T00:12:13.761552Z","bundle_sha256":"7fcecd2fb1fa8cd09cab88edf0b216155bd4d35e7d61bad88158ac3117edeec1"}}