{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:P2JL2GZLE2NRGWWCIAU4IZW7KR","short_pith_number":"pith:P2JL2GZL","canonical_record":{"source":{"id":"2507.00054","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T20:07:47Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"8a8e41b3a1cd29f848dff8f0241f6f5cfd26867094658287ec444ab4cd3e455a","abstract_canon_sha256":"c41042b88815deef7cebd11124c39d5787de6c57979810765185d42b21754fe7"},"schema_version":"1.0"},"canonical_sha256":"7e92bd1b2b269b135ac24029c466df546851fe5b764994449bd197599ce29ba6","source":{"kind":"arxiv","id":"2507.00054","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00054","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00054v1","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00054","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"pith_short_12","alias_value":"P2JL2GZLE2NR","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"P2JL2GZLE2NRGWWC","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"P2JL2GZL","created_at":"2026-07-05T11:30:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:P2JL2GZLE2NRGWWCIAU4IZW7KR","target":"record","payload":{"canonical_record":{"source":{"id":"2507.00054","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T20:07:47Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"8a8e41b3a1cd29f848dff8f0241f6f5cfd26867094658287ec444ab4cd3e455a","abstract_canon_sha256":"c41042b88815deef7cebd11124c39d5787de6c57979810765185d42b21754fe7"},"schema_version":"1.0"},"canonical_sha256":"7e92bd1b2b269b135ac24029c466df546851fe5b764994449bd197599ce29ba6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:30:04.576059Z","signature_b64":"1aTm0TSkSS3PTJfNdWfPAdA2UGpk5HMFBrIuepQTKxpwVl6PXRSYobZ2TKy13fWrxnlahpLkKXzgB+DL6q/rBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e92bd1b2b269b135ac24029c466df546851fe5b764994449bd197599ce29ba6","last_reissued_at":"2026-07-05T11:30:04.575572Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:30:04.575572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.00054","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":"2026-07-05T11:30:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rPcs7ef1h3X/91FL3RcKkjgcyV67Mg/OZ0U+LPZdWNScnJyod3ldVYpNwInFmLumTYPksfbmN5d/p1tXsWqkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:57:54.320418Z"},"content_sha256":"0d5c8f317753d61a86c49ef875b614496287885c3000d5584e5604992ea46e31","schema_version":"1.0","event_id":"sha256:0d5c8f317753d61a86c49ef875b614496287885c3000d5584e5604992ea46e31"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:P2JL2GZLE2NRGWWCIAU4IZW7KR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Shreyansh Padarha","submitted_at":"2025-06-25T20:07:47Z","abstract_excerpt":"The push to compress and impart the proficiency of Large Language Models (LLMs) into more deployable and efficient Small Language Models (SLMs) has benefited from improvements in knowledge distillation (KD) techniques. These techniques allow a smaller student model to learn from a more capable and larger teacher model's responses. However, distillation often revolves around the student model merely copying the teacher's in-distribution responses, limiting its generalisability. This limitation is amplified on reasoning tasks and can be computationally expensive. In this study, we propose AdvDis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00054","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/2507.00054/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":"2026-07-05T11:30:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i//Msim4dC4Hh9KK5zDE6oBeIP+5XuP1O5Rpz6byQryC2LbLOtNVGZFIJfDTlxmO4xwB88f5g4c/iATOeGExBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:57:54.320901Z"},"content_sha256":"e5e676d5ae34599d6811e699867bbcd9bf1a7974357d011e439918ac814711ed","schema_version":"1.0","event_id":"sha256:e5e676d5ae34599d6811e699867bbcd9bf1a7974357d011e439918ac814711ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P2JL2GZLE2NRGWWCIAU4IZW7KR/bundle.json","state_url":"https://pith.science/pith/P2JL2GZLE2NRGWWCIAU4IZW7KR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P2JL2GZLE2NRGWWCIAU4IZW7KR/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":"2026-08-07T10:57:54Z","links":{"resolver":"https://pith.science/pith/P2JL2GZLE2NRGWWCIAU4IZW7KR","bundle":"https://pith.science/pith/P2JL2GZLE2NRGWWCIAU4IZW7KR/bundle.json","state":"https://pith.science/pith/P2JL2GZLE2NRGWWCIAU4IZW7KR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P2JL2GZLE2NRGWWCIAU4IZW7KR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P2JL2GZLE2NRGWWCIAU4IZW7KR","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":"c41042b88815deef7cebd11124c39d5787de6c57979810765185d42b21754fe7","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T20:07:47Z","title_canon_sha256":"8a8e41b3a1cd29f848dff8f0241f6f5cfd26867094658287ec444ab4cd3e455a"},"schema_version":"1.0","source":{"id":"2507.00054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00054","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00054v1","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00054","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"pith_short_12","alias_value":"P2JL2GZLE2NR","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"P2JL2GZLE2NRGWWC","created_at":"2026-07-05T11:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"P2JL2GZL","created_at":"2026-07-05T11:30:04Z"}],"graph_snapshots":[{"event_id":"sha256:e5e676d5ae34599d6811e699867bbcd9bf1a7974357d011e439918ac814711ed","target":"graph","created_at":"2026-07-05T11:30:04Z","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/2507.00054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The push to compress and impart the proficiency of Large Language Models (LLMs) into more deployable and efficient Small Language Models (SLMs) has benefited from improvements in knowledge distillation (KD) techniques. These techniques allow a smaller student model to learn from a more capable and larger teacher model's responses. However, distillation often revolves around the student model merely copying the teacher's in-distribution responses, limiting its generalisability. This limitation is amplified on reasoning tasks and can be computationally expensive. In this study, we propose AdvDis","authors_text":"Shreyansh Padarha","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T20:07:47Z","title":"Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00054","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":"sha256:0d5c8f317753d61a86c49ef875b614496287885c3000d5584e5604992ea46e31","target":"record","created_at":"2026-07-05T11:30:04Z","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":"c41042b88815deef7cebd11124c39d5787de6c57979810765185d42b21754fe7","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T20:07:47Z","title_canon_sha256":"8a8e41b3a1cd29f848dff8f0241f6f5cfd26867094658287ec444ab4cd3e455a"},"schema_version":"1.0","source":{"id":"2507.00054","kind":"arxiv","version":1}},"canonical_sha256":"7e92bd1b2b269b135ac24029c466df546851fe5b764994449bd197599ce29ba6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e92bd1b2b269b135ac24029c466df546851fe5b764994449bd197599ce29ba6","first_computed_at":"2026-07-05T11:30:04.575572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:30:04.575572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1aTm0TSkSS3PTJfNdWfPAdA2UGpk5HMFBrIuepQTKxpwVl6PXRSYobZ2TKy13fWrxnlahpLkKXzgB+DL6q/rBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:30:04.576059Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.00054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d5c8f317753d61a86c49ef875b614496287885c3000d5584e5604992ea46e31","sha256:e5e676d5ae34599d6811e699867bbcd9bf1a7974357d011e439918ac814711ed"],"state_sha256":"109a5fbe0f8a1d2645064cf4fd7112db4097f5240c17394c9c2ff0edb62ba326"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3JflcgLz0/hpaaS49Ez83W0YFuks0nhJRk8DGk+7mBHjgyEWdCalk8S3P+kNUfVeV2H/al//xtBkJEmNbw4hCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:57:54.326607Z","bundle_sha256":"9b731b2589df8af69659f0c35578bc59c46023dd3e6d4f1177251cf7d87e1e2b"}}