{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KODX7ZH5GC3KYHA5I3J6SFVNDT","short_pith_number":"pith:KODX7ZH5","canonical_record":{"source":{"id":"2108.02023","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2021-08-04T12:49:37Z","cross_cats_sorted":["cs.AR","cs.ET"],"title_canon_sha256":"2d2b7135f80ae1df5df162b221d464db9064cc40156b936557f3cee2b1c5d7c2","abstract_canon_sha256":"159dc22b548dc562dd159b08ee08887acf0fe38cf1d8a22f4fe794cbf9d91738"},"schema_version":"1.0"},"canonical_sha256":"53877fe4fd30b6ac1c1d46d3e916ad1cfdc34dd31135cef88b548d6667accea8","source":{"kind":"arxiv","id":"2108.02023","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02023","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02023v1","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02023","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"pith_short_12","alias_value":"KODX7ZH5GC3K","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"pith_short_16","alias_value":"KODX7ZH5GC3KYHA5","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"pith_short_8","alias_value":"KODX7ZH5","created_at":"2026-07-05T03:03:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KODX7ZH5GC3KYHA5I3J6SFVNDT","target":"record","payload":{"canonical_record":{"source":{"id":"2108.02023","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2021-08-04T12:49:37Z","cross_cats_sorted":["cs.AR","cs.ET"],"title_canon_sha256":"2d2b7135f80ae1df5df162b221d464db9064cc40156b936557f3cee2b1c5d7c2","abstract_canon_sha256":"159dc22b548dc562dd159b08ee08887acf0fe38cf1d8a22f4fe794cbf9d91738"},"schema_version":"1.0"},"canonical_sha256":"53877fe4fd30b6ac1c1d46d3e916ad1cfdc34dd31135cef88b548d6667accea8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:03:20.787086Z","signature_b64":"llfWXD7Lo8oMMP2bBHE8rOhZFcpXG1WnItbOdAUNcax2QD9WtaSSMRYs38sCQFCeQyoUMykhT9YHJks2m7ShBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53877fe4fd30b6ac1c1d46d3e916ad1cfdc34dd31135cef88b548d6667accea8","last_reissued_at":"2026-07-05T03:03:20.786723Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:03:20.786723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.02023","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":"2026-07-05T03:03:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RT9TlIWQPtzxHhu5WtxJynMnY5xlpsNPddhl9eBjyrxu4maqkVk3Fnebdv69TDlSA3UteigBoxnnAA4PSdhmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:09:13.945524Z"},"content_sha256":"ea78b8215267acaf24ae2e2e58d0980d2f01f9e068bff4261a961e12b4b9026f","schema_version":"1.0","event_id":"sha256:ea78b8215267acaf24ae2e2e58d0980d2f01f9e068bff4261a961e12b4b9026f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KODX7ZH5GC3KYHA5I3J6SFVNDT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR","cs.ET"],"primary_cat":"cs.NE","authors_text":"Adarsha Balaji, Anup Das, Harry Chong, James Shackleford, Nagarajan Kandasamy, Shihao Song","submitted_at":"2021-08-04T12:49:37Z","abstract_excerpt":"Spiking Neural Networks (SNN) are an emerging computation model, which uses event-driven activation and bio-inspired learning algorithms. SNN-based machine-learning programs are typically executed on tile- based neuromorphic hardware platforms, where each tile consists of a computation unit called crossbar, which maps neurons and synapses of the program. However, synthesizing such programs on an off-the-shelf neuromorphic hardware is challenging. This is because of the inherent resource and latency limitations of the hardware, which impact both model performance, e.g., accuracy, and hardware p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02023","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/2108.02023/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":"2026-07-05T03:03:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PM13LGCOIu/9Dnru7eFcQV6YDQ/fg3TGruCiNltD25SJle9ztcv4WvP9KJUxYr18rDcsS1aMCPwFSY3WKXSwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:09:13.946037Z"},"content_sha256":"d9bb45edb97bd82ab2496345cab73bb6bd66d7c7371a81f8983f85c1516cde39","schema_version":"1.0","event_id":"sha256:d9bb45edb97bd82ab2496345cab73bb6bd66d7c7371a81f8983f85c1516cde39"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KODX7ZH5GC3KYHA5I3J6SFVNDT/bundle.json","state_url":"https://pith.science/pith/KODX7ZH5GC3KYHA5I3J6SFVNDT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KODX7ZH5GC3KYHA5I3J6SFVNDT/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":"2026-08-09T20:09:13Z","links":{"resolver":"https://pith.science/pith/KODX7ZH5GC3KYHA5I3J6SFVNDT","bundle":"https://pith.science/pith/KODX7ZH5GC3KYHA5I3J6SFVNDT/bundle.json","state":"https://pith.science/pith/KODX7ZH5GC3KYHA5I3J6SFVNDT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KODX7ZH5GC3KYHA5I3J6SFVNDT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KODX7ZH5GC3KYHA5I3J6SFVNDT","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":"159dc22b548dc562dd159b08ee08887acf0fe38cf1d8a22f4fe794cbf9d91738","cross_cats_sorted":["cs.AR","cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2021-08-04T12:49:37Z","title_canon_sha256":"2d2b7135f80ae1df5df162b221d464db9064cc40156b936557f3cee2b1c5d7c2"},"schema_version":"1.0","source":{"id":"2108.02023","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02023","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02023v1","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02023","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"pith_short_12","alias_value":"KODX7ZH5GC3K","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"pith_short_16","alias_value":"KODX7ZH5GC3KYHA5","created_at":"2026-07-05T03:03:20Z"},{"alias_kind":"pith_short_8","alias_value":"KODX7ZH5","created_at":"2026-07-05T03:03:20Z"}],"graph_snapshots":[{"event_id":"sha256:d9bb45edb97bd82ab2496345cab73bb6bd66d7c7371a81f8983f85c1516cde39","target":"graph","created_at":"2026-07-05T03:03:20Z","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/2108.02023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spiking Neural Networks (SNN) are an emerging computation model, which uses event-driven activation and bio-inspired learning algorithms. SNN-based machine-learning programs are typically executed on tile- based neuromorphic hardware platforms, where each tile consists of a computation unit called crossbar, which maps neurons and synapses of the program. However, synthesizing such programs on an off-the-shelf neuromorphic hardware is challenging. This is because of the inherent resource and latency limitations of the hardware, which impact both model performance, e.g., accuracy, and hardware p","authors_text":"Adarsha Balaji, Anup Das, Harry Chong, James Shackleford, Nagarajan Kandasamy, Shihao Song","cross_cats":["cs.AR","cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2021-08-04T12:49:37Z","title":"DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02023","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:ea78b8215267acaf24ae2e2e58d0980d2f01f9e068bff4261a961e12b4b9026f","target":"record","created_at":"2026-07-05T03:03:20Z","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":"159dc22b548dc562dd159b08ee08887acf0fe38cf1d8a22f4fe794cbf9d91738","cross_cats_sorted":["cs.AR","cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2021-08-04T12:49:37Z","title_canon_sha256":"2d2b7135f80ae1df5df162b221d464db9064cc40156b936557f3cee2b1c5d7c2"},"schema_version":"1.0","source":{"id":"2108.02023","kind":"arxiv","version":1}},"canonical_sha256":"53877fe4fd30b6ac1c1d46d3e916ad1cfdc34dd31135cef88b548d6667accea8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53877fe4fd30b6ac1c1d46d3e916ad1cfdc34dd31135cef88b548d6667accea8","first_computed_at":"2026-07-05T03:03:20.786723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:20.786723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"llfWXD7Lo8oMMP2bBHE8rOhZFcpXG1WnItbOdAUNcax2QD9WtaSSMRYs38sCQFCeQyoUMykhT9YHJks2m7ShBA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:20.787086Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.02023","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea78b8215267acaf24ae2e2e58d0980d2f01f9e068bff4261a961e12b4b9026f","sha256:d9bb45edb97bd82ab2496345cab73bb6bd66d7c7371a81f8983f85c1516cde39"],"state_sha256":"480a3427346751b8aec96bb047afac641b30c839cdbcff34c6d45d561b77e974"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y0Ik4G+5O7mERfacsaZgHdKrdh8S/3nLwa8Ff92VcgF7SAlmoVT4cSrmwvhTh1UTVqRNHURdC15PZjqgcjXaAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:09:13.951428Z","bundle_sha256":"a19e05061ec315d775d381a7fb0c3e87ebba4409b6858fe7f9f792f2083cbbae"}}