{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3WWOVCME5ICFHTWRNRTASIHFOM","short_pith_number":"pith:3WWOVCME","schema_version":"1.0","canonical_sha256":"ddacea8984ea0453ced16c660920e5733147195183706deda471432eaa3fd2d2","source":{"kind":"arxiv","id":"2606.03739","version":1},"attestation_state":"computed","paper":{"title":"Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"cs.CL","authors_text":"Francisca Adoma Acheampong, James Dzisi Gadze, Jerry John Kponyo, Justice Owusu Agyemang, Kwame Agyeman-Prempeh Agyekum, Kwame Opuni-Boachie Obour Agyekum","submitted_at":"2026-06-02T14:55:02Z","abstract_excerpt":"LLM pipelines waste substantial token budgets on low-information content: repeated context, verbose responses, and redundant boilerplate. We introduce Entropy Gate, a token compression framework applying entropy quenching $-$ a thermodynamic process that progressively freezes out low-energy tokens while preserving semantic fidelity. Each token receives a multi-factor information energy $E(t)$ combining statistical, structural, and positional components. An adaptive quenching schedule $T(\\tau) = T_0 / (1 + \\alpha \\tau)$ removes tokens whose Boltzmann survival probability $p_i = \\exp(-E_i / kT)$"},"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":"2606.03739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-02T14:55:02Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"3a1848f86eafa7634c0f368f915df9a1263b37b623d064842e526eec090b2f3f","abstract_canon_sha256":"8c418ec8bac75020fe58f454297f66c51e08672fd4825c3b9a3a269fcbfd8145"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:06:05.948063Z","signature_b64":"Y2S5qDOs+JkfhnXVhg+DMfz3ho8R+AI4wkyKNIBqV2LPzgZKa465v9FiGJBvKKb6a/BAPRq50d3roPaNnaG7AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ddacea8984ea0453ced16c660920e5733147195183706deda471432eaa3fd2d2","last_reissued_at":"2026-06-03T01:06:05.947485Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:06:05.947485Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"cs.CL","authors_text":"Francisca Adoma Acheampong, James Dzisi Gadze, Jerry John Kponyo, Justice Owusu Agyemang, Kwame Agyeman-Prempeh Agyekum, Kwame Opuni-Boachie Obour Agyekum","submitted_at":"2026-06-02T14:55:02Z","abstract_excerpt":"LLM pipelines waste substantial token budgets on low-information content: repeated context, verbose responses, and redundant boilerplate. We introduce Entropy Gate, a token compression framework applying entropy quenching $-$ a thermodynamic process that progressively freezes out low-energy tokens while preserving semantic fidelity. Each token receives a multi-factor information energy $E(t)$ combining statistical, structural, and positional components. An adaptive quenching schedule $T(\\tau) = T_0 / (1 + \\alpha \\tau)$ removes tokens whose Boltzmann survival probability $p_i = \\exp(-E_i / kT)$"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03739","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/2606.03739/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.03739","created_at":"2026-06-03T01:06:05.947560+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.03739v1","created_at":"2026-06-03T01:06:05.947560+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03739","created_at":"2026-06-03T01:06:05.947560+00:00"},{"alias_kind":"pith_short_12","alias_value":"3WWOVCME5ICF","created_at":"2026-06-03T01:06:05.947560+00:00"},{"alias_kind":"pith_short_16","alias_value":"3WWOVCME5ICFHTWR","created_at":"2026-06-03T01:06:05.947560+00:00"},{"alias_kind":"pith_short_8","alias_value":"3WWOVCME","created_at":"2026-06-03T01:06:05.947560+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/3WWOVCME5ICFHTWRNRTASIHFOM","json":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM.json","graph_json":"https://pith.science/api/pith-number/3WWOVCME5ICFHTWRNRTASIHFOM/graph.json","events_json":"https://pith.science/api/pith-number/3WWOVCME5ICFHTWRNRTASIHFOM/events.json","paper":"https://pith.science/paper/3WWOVCME"},"agent_actions":{"view_html":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM","download_json":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM.json","view_paper":"https://pith.science/paper/3WWOVCME","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.03739&json=true","fetch_graph":"https://pith.science/api/pith-number/3WWOVCME5ICFHTWRNRTASIHFOM/graph.json","fetch_events":"https://pith.science/api/pith-number/3WWOVCME5ICFHTWRNRTASIHFOM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM/action/storage_attestation","attest_author":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM/action/author_attestation","sign_citation":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM/action/citation_signature","submit_replication":"https://pith.science/pith/3WWOVCME5ICFHTWRNRTASIHFOM/action/replication_record"}},"created_at":"2026-06-03T01:06:05.947560+00:00","updated_at":"2026-06-03T01:06:05.947560+00:00"}