{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:IW5N7WNH47OPONAFIYJWV65YFA","short_pith_number":"pith:IW5N7WNH","schema_version":"1.0","canonical_sha256":"45badfd9a7e7dcf7340546136afbb8283d6455a03fedf6173a7cc30a79dd2a5f","source":{"kind":"arxiv","id":"1901.08119","version":1},"attestation_state":"computed","paper":{"title":"Stress Fluctuations in Transient Active Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.soft","authors_text":"Bulbul Chakraborty, Daniel Goldstein, Sriram Ramaswamy","submitted_at":"2019-01-23T20:19:47Z","abstract_excerpt":"Inspired by experiments on dynamic extensile gels of biofilaments and motors, we propose a model of a network of linear springs with a kinetics consisting of growth at a prescribed rate, death after a lifetime drawn from a distribution, and birth at a randomly chosen node. The model captures features such as the build-up of self-stress, that are not easily incorporated into hydrodynamic theories. We study the model numerically and show that our observations can largely be understood through a stochastic effective-medium model. The resulting dynamically extending force-dipole network displays m"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1901.08119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.soft","submitted_at":"2019-01-23T20:19:47Z","cross_cats_sorted":[],"title_canon_sha256":"87f5ea889d3afac5ac172882cdce0781f6e2ab8eff15001a3a6fd8546f2a1695","abstract_canon_sha256":"2d3f87f42dcc143bf2dbb1126cd047b2ae54be665d05b3c6bd22f8a848b9813f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:37.875527Z","signature_b64":"+No59B2loIf/1AxWawdrEq/ULz5U3yZYgQsOUU99XuBknKSaTYIJ9fHWQI802PAOZE5ksLWzK5wBlkH3zRNQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"45badfd9a7e7dcf7340546136afbb8283d6455a03fedf6173a7cc30a79dd2a5f","last_reissued_at":"2026-05-17T23:55:37.875151Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:37.875151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stress Fluctuations in Transient Active Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.soft","authors_text":"Bulbul Chakraborty, Daniel Goldstein, Sriram Ramaswamy","submitted_at":"2019-01-23T20:19:47Z","abstract_excerpt":"Inspired by experiments on dynamic extensile gels of biofilaments and motors, we propose a model of a network of linear springs with a kinetics consisting of growth at a prescribed rate, death after a lifetime drawn from a distribution, and birth at a randomly chosen node. The model captures features such as the build-up of self-stress, that are not easily incorporated into hydrodynamic theories. We study the model numerically and show that our observations can largely be understood through a stochastic effective-medium model. The resulting dynamically extending force-dipole network displays m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08119","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1901.08119","created_at":"2026-05-17T23:55:37.875210+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.08119v1","created_at":"2026-05-17T23:55:37.875210+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08119","created_at":"2026-05-17T23:55:37.875210+00:00"},{"alias_kind":"pith_short_12","alias_value":"IW5N7WNH47OP","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"IW5N7WNH47OPONAF","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"IW5N7WNH","created_at":"2026-05-18T12:33:18.533446+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA","json":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA.json","graph_json":"https://pith.science/api/pith-number/IW5N7WNH47OPONAFIYJWV65YFA/graph.json","events_json":"https://pith.science/api/pith-number/IW5N7WNH47OPONAFIYJWV65YFA/events.json","paper":"https://pith.science/paper/IW5N7WNH"},"agent_actions":{"view_html":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA","download_json":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA.json","view_paper":"https://pith.science/paper/IW5N7WNH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.08119&json=true","fetch_graph":"https://pith.science/api/pith-number/IW5N7WNH47OPONAFIYJWV65YFA/graph.json","fetch_events":"https://pith.science/api/pith-number/IW5N7WNH47OPONAFIYJWV65YFA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA/action/storage_attestation","attest_author":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA/action/author_attestation","sign_citation":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA/action/citation_signature","submit_replication":"https://pith.science/pith/IW5N7WNH47OPONAFIYJWV65YFA/action/replication_record"}},"created_at":"2026-05-17T23:55:37.875210+00:00","updated_at":"2026-05-17T23:55:37.875210+00:00"}