{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NLRDWX3LA4UB7AA6OYE7RXFGKQ","short_pith_number":"pith:NLRDWX3L","canonical_record":{"source":{"id":"2507.07422","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-10T04:31:45Z","cross_cats_sorted":[],"title_canon_sha256":"3529ec00497d8e53b180899f7d214ec393f622211bed9519ef75afa49e8dabb4","abstract_canon_sha256":"87082d4b047923938bc4c4a7a4a8ae07997e97c8e33cc8f24200561cf715bfe8"},"schema_version":"1.0"},"canonical_sha256":"6ae23b5f6b07281f801e7609f8dca6540b0b7871791f33dc85746ae63956bd93","source":{"kind":"arxiv","id":"2507.07422","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07422","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07422v1","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07422","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"NLRDWX3LA4UB","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"pith_short_16","alias_value":"NLRDWX3LA4UB7AA6","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"pith_short_8","alias_value":"NLRDWX3L","created_at":"2026-07-05T11:34:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NLRDWX3LA4UB7AA6OYE7RXFGKQ","target":"record","payload":{"canonical_record":{"source":{"id":"2507.07422","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-10T04:31:45Z","cross_cats_sorted":[],"title_canon_sha256":"3529ec00497d8e53b180899f7d214ec393f622211bed9519ef75afa49e8dabb4","abstract_canon_sha256":"87082d4b047923938bc4c4a7a4a8ae07997e97c8e33cc8f24200561cf715bfe8"},"schema_version":"1.0"},"canonical_sha256":"6ae23b5f6b07281f801e7609f8dca6540b0b7871791f33dc85746ae63956bd93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:57.653769Z","signature_b64":"1y+LTyWBRERTAJxqqfSOcy6BVesQLyQ2q73rF2Ct8QCql9yKte/jov8EfByJ/q24o1K9XzTxtSmdMqoGruIfAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ae23b5f6b07281f801e7609f8dca6540b0b7871791f33dc85746ae63956bd93","last_reissued_at":"2026-07-05T11:34:57.653251Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:57.653251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.07422","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":"2026-07-05T11:34:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3T+FlRW3ST7sewtY6XZMLBpvAVfqBPxzHWptK3EU3i8BoFOYd9DvtnW2XDDl5MIBUqImDTB4twdIjuuU5FLVAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T17:14:53.935619Z"},"content_sha256":"9ab679ed83dc82984e00d5a4f5996cec9d4e56d9cc04543cd27486a1619030d4","schema_version":"1.0","event_id":"sha256:9ab679ed83dc82984e00d5a4f5996cec9d4e56d9cc04543cd27486a1619030d4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NLRDWX3LA4UB7AA6OYE7RXFGKQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Computation-resource-efficient Task-oriented Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Chao Ren, Jingwen Fu, Mikael Skoglund, Ming Xiao","submitted_at":"2025-07-10T04:31:45Z","abstract_excerpt":"The rapid development of deep-learning enabled task-oriented communications (TOC) significantly shifts the paradigm of wireless communications. However, the high computation demands, particularly in resource-constrained systems e.g., mobile phones and UAVs, make TOC challenging for many tasks. To address the problem, we propose a novel TOC method with two models: a static and a dynamic model. In the static model, we apply a neural network (NN) as a task-oriented encoder (TOE) when there is no computation budget constraint. The dynamic model is used when device computation resources are limited"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07422","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/2507.07422/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":"2026-07-05T11:34:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lEux782u+tJpnSsBXjMP20uIYZ0Ddjdk3ZD/qy1gPwT1KeKptXSGUo3/A11YGbPqIPnlsmdOGGfKifQ2J12UCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T17:14:53.936116Z"},"content_sha256":"f553e6f2487c84235c4cfe91f2c2c7320da80918917e3d0a6460ce11c0fa8b5b","schema_version":"1.0","event_id":"sha256:f553e6f2487c84235c4cfe91f2c2c7320da80918917e3d0a6460ce11c0fa8b5b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NLRDWX3LA4UB7AA6OYE7RXFGKQ/bundle.json","state_url":"https://pith.science/pith/NLRDWX3LA4UB7AA6OYE7RXFGKQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NLRDWX3LA4UB7AA6OYE7RXFGKQ/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":"2026-08-22T17:14:53Z","links":{"resolver":"https://pith.science/pith/NLRDWX3LA4UB7AA6OYE7RXFGKQ","bundle":"https://pith.science/pith/NLRDWX3LA4UB7AA6OYE7RXFGKQ/bundle.json","state":"https://pith.science/pith/NLRDWX3LA4UB7AA6OYE7RXFGKQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NLRDWX3LA4UB7AA6OYE7RXFGKQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NLRDWX3LA4UB7AA6OYE7RXFGKQ","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":"87082d4b047923938bc4c4a7a4a8ae07997e97c8e33cc8f24200561cf715bfe8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-10T04:31:45Z","title_canon_sha256":"3529ec00497d8e53b180899f7d214ec393f622211bed9519ef75afa49e8dabb4"},"schema_version":"1.0","source":{"id":"2507.07422","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07422","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07422v1","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07422","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"NLRDWX3LA4UB","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"pith_short_16","alias_value":"NLRDWX3LA4UB7AA6","created_at":"2026-07-05T11:34:57Z"},{"alias_kind":"pith_short_8","alias_value":"NLRDWX3L","created_at":"2026-07-05T11:34:57Z"}],"graph_snapshots":[{"event_id":"sha256:f553e6f2487c84235c4cfe91f2c2c7320da80918917e3d0a6460ce11c0fa8b5b","target":"graph","created_at":"2026-07-05T11:34:57Z","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/2507.07422/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid development of deep-learning enabled task-oriented communications (TOC) significantly shifts the paradigm of wireless communications. However, the high computation demands, particularly in resource-constrained systems e.g., mobile phones and UAVs, make TOC challenging for many tasks. To address the problem, we propose a novel TOC method with two models: a static and a dynamic model. In the static model, we apply a neural network (NN) as a task-oriented encoder (TOE) when there is no computation budget constraint. The dynamic model is used when device computation resources are limited","authors_text":"Chao Ren, Jingwen Fu, Mikael Skoglund, Ming Xiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-10T04:31:45Z","title":"Computation-resource-efficient Task-oriented Communications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07422","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":"sha256:9ab679ed83dc82984e00d5a4f5996cec9d4e56d9cc04543cd27486a1619030d4","target":"record","created_at":"2026-07-05T11:34:57Z","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":"87082d4b047923938bc4c4a7a4a8ae07997e97c8e33cc8f24200561cf715bfe8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-10T04:31:45Z","title_canon_sha256":"3529ec00497d8e53b180899f7d214ec393f622211bed9519ef75afa49e8dabb4"},"schema_version":"1.0","source":{"id":"2507.07422","kind":"arxiv","version":1}},"canonical_sha256":"6ae23b5f6b07281f801e7609f8dca6540b0b7871791f33dc85746ae63956bd93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ae23b5f6b07281f801e7609f8dca6540b0b7871791f33dc85746ae63956bd93","first_computed_at":"2026-07-05T11:34:57.653251Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:57.653251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1y+LTyWBRERTAJxqqfSOcy6BVesQLyQ2q73rF2Ct8QCql9yKte/jov8EfByJ/q24o1K9XzTxtSmdMqoGruIfAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:57.653769Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07422","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ab679ed83dc82984e00d5a4f5996cec9d4e56d9cc04543cd27486a1619030d4","sha256:f553e6f2487c84235c4cfe91f2c2c7320da80918917e3d0a6460ce11c0fa8b5b"],"state_sha256":"c2530fefc3409ad93ca6e9ab20693c0a0084a70451febab61cc1c5cad4547f41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dCaqASTqaE58naMzE4nh0hA6jXWtwI2pjs4z2NasbjZoesJ3RhZS4eDr2ccbba9XnTQ710PKXgdcDtlhfSTOBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T17:14:53.940921Z","bundle_sha256":"2f34d314bb25359d4ac4965529b108a4e6e383564d180c33066284519e74a4a4"}}