{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:NK6PFTE4ALQ4C22D4DIVO3MZBM","short_pith_number":"pith:NK6PFTE4","canonical_record":{"source":{"id":"2109.02631","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-09-06T17:54:45Z","cross_cats_sorted":[],"title_canon_sha256":"ad216386cfa44e2f25c3a1936ab89aa5c4a77ce95f2e41925712cca31b8bae0b","abstract_canon_sha256":"073267d04969687cbbf4822befc3a21a7c1220c4681d9750ae87f3e1c44cb5e1"},"schema_version":"1.0"},"canonical_sha256":"6abcf2cc9c02e1c16b43e0d1576d990b11dea81ab3ba764a88775c70e979c418","source":{"kind":"arxiv","id":"2109.02631","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.02631","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2109.02631v1","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.02631","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"NK6PFTE4ALQ4","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"NK6PFTE4ALQ4C22D","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"NK6PFTE4","created_at":"2026-07-05T03:11:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:NK6PFTE4ALQ4C22D4DIVO3MZBM","target":"record","payload":{"canonical_record":{"source":{"id":"2109.02631","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-09-06T17:54:45Z","cross_cats_sorted":[],"title_canon_sha256":"ad216386cfa44e2f25c3a1936ab89aa5c4a77ce95f2e41925712cca31b8bae0b","abstract_canon_sha256":"073267d04969687cbbf4822befc3a21a7c1220c4681d9750ae87f3e1c44cb5e1"},"schema_version":"1.0"},"canonical_sha256":"6abcf2cc9c02e1c16b43e0d1576d990b11dea81ab3ba764a88775c70e979c418","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:11:50.502651Z","signature_b64":"EmL5v+uj98+7sISmx64fCyqu0Y9SVYyRtCc8Wa/I4WHXV1/grmYsGbc5VVFW4PJCbP8YuXh8Mza00qD31aeXCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6abcf2cc9c02e1c16b43e0d1576d990b11dea81ab3ba764a88775c70e979c418","last_reissued_at":"2026-07-05T03:11:50.502190Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:11:50.502190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.02631","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":"2026-07-05T03:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3H0Aqo1b5L3HZwnVLUXfbY98IJ1DUfcBdVX9nWmfDiJ8zEugCN0Gm30um8bqNmC/HtlpMKVbbCPA0U4rGFxHDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:21:19.665851Z"},"content_sha256":"eebecbe3ece0c63310d6ce91f0564cdcecbb40e4071090d3a1fe7f00bd17e2c6","schema_version":"1.0","event_id":"sha256:eebecbe3ece0c63310d6ce91f0564cdcecbb40e4071090d3a1fe7f00bd17e2c6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:NK6PFTE4ALQ4C22D4DIVO3MZBM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Guiding Global Placement With Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bryan Catanzaro, Kolby Nottingham, Rajarshi Roy, Robert Kirby, Saad Godil","submitted_at":"2021-09-06T17:54:45Z","abstract_excerpt":"Recent advances in GPU accelerated global and detail placement have reduced the time to solution by an order of magnitude. This advancement allows us to leverage data driven optimization (such as Reinforcement Learning) in an effort to improve the final quality of placement results. In this work we augment state-of-the-art, force-based global placement solvers with a reinforcement learning agent trained to improve the final detail placed Half Perimeter Wire Length (HPWL).\n  We propose novel control schemes with either global or localized control of the placement process. We then train reinforc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.02631","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/2109.02631/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":"2026-07-05T03:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WPSYoH3CqTZo5aggKsJyq5SLBWvGnciYyI62F0GbPbhBwdDq2tb8pShO8S28r7HOBr5dr2dP9UkqfoE+xZfyDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:21:19.669990Z"},"content_sha256":"624df92e34bfc3601fb9ee200bdc42eb963202d5f344491b1986930569110803","schema_version":"1.0","event_id":"sha256:624df92e34bfc3601fb9ee200bdc42eb963202d5f344491b1986930569110803"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NK6PFTE4ALQ4C22D4DIVO3MZBM/bundle.json","state_url":"https://pith.science/pith/NK6PFTE4ALQ4C22D4DIVO3MZBM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NK6PFTE4ALQ4C22D4DIVO3MZBM/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":"2026-08-05T11:21:19Z","links":{"resolver":"https://pith.science/pith/NK6PFTE4ALQ4C22D4DIVO3MZBM","bundle":"https://pith.science/pith/NK6PFTE4ALQ4C22D4DIVO3MZBM/bundle.json","state":"https://pith.science/pith/NK6PFTE4ALQ4C22D4DIVO3MZBM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NK6PFTE4ALQ4C22D4DIVO3MZBM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:NK6PFTE4ALQ4C22D4DIVO3MZBM","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":"073267d04969687cbbf4822befc3a21a7c1220c4681d9750ae87f3e1c44cb5e1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-09-06T17:54:45Z","title_canon_sha256":"ad216386cfa44e2f25c3a1936ab89aa5c4a77ce95f2e41925712cca31b8bae0b"},"schema_version":"1.0","source":{"id":"2109.02631","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.02631","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2109.02631v1","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.02631","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"NK6PFTE4ALQ4","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"NK6PFTE4ALQ4C22D","created_at":"2026-07-05T03:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"NK6PFTE4","created_at":"2026-07-05T03:11:50Z"}],"graph_snapshots":[{"event_id":"sha256:624df92e34bfc3601fb9ee200bdc42eb963202d5f344491b1986930569110803","target":"graph","created_at":"2026-07-05T03:11:50Z","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/2109.02631/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in GPU accelerated global and detail placement have reduced the time to solution by an order of magnitude. This advancement allows us to leverage data driven optimization (such as Reinforcement Learning) in an effort to improve the final quality of placement results. In this work we augment state-of-the-art, force-based global placement solvers with a reinforcement learning agent trained to improve the final detail placed Half Perimeter Wire Length (HPWL).\n  We propose novel control schemes with either global or localized control of the placement process. We then train reinforc","authors_text":"Bryan Catanzaro, Kolby Nottingham, Rajarshi Roy, Robert Kirby, Saad Godil","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-09-06T17:54:45Z","title":"Guiding Global Placement With Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.02631","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:eebecbe3ece0c63310d6ce91f0564cdcecbb40e4071090d3a1fe7f00bd17e2c6","target":"record","created_at":"2026-07-05T03:11:50Z","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":"073267d04969687cbbf4822befc3a21a7c1220c4681d9750ae87f3e1c44cb5e1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-09-06T17:54:45Z","title_canon_sha256":"ad216386cfa44e2f25c3a1936ab89aa5c4a77ce95f2e41925712cca31b8bae0b"},"schema_version":"1.0","source":{"id":"2109.02631","kind":"arxiv","version":1}},"canonical_sha256":"6abcf2cc9c02e1c16b43e0d1576d990b11dea81ab3ba764a88775c70e979c418","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6abcf2cc9c02e1c16b43e0d1576d990b11dea81ab3ba764a88775c70e979c418","first_computed_at":"2026-07-05T03:11:50.502190Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:11:50.502190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EmL5v+uj98+7sISmx64fCyqu0Y9SVYyRtCc8Wa/I4WHXV1/grmYsGbc5VVFW4PJCbP8YuXh8Mza00qD31aeXCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:11:50.502651Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.02631","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eebecbe3ece0c63310d6ce91f0564cdcecbb40e4071090d3a1fe7f00bd17e2c6","sha256:624df92e34bfc3601fb9ee200bdc42eb963202d5f344491b1986930569110803"],"state_sha256":"35f5076d680a8174f5a345b95b872880b3f3653f5967479661aa8f180cf64515"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Syyfr/jyCwZfJoP7w0VMLqdn9SjdXp8Y0Br36n0g467UMSTadFBjvRnuWqOge95S/j9CDSEDAPTkSKE7kVj8CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:21:19.688170Z","bundle_sha256":"b013725dd041af0a30a4b6acb0f33ef20a664e98c85e75aaa6200844de9900c5"}}