{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:R3ZVZLGMPCASE4OEK3BGDE4TJJ","short_pith_number":"pith:R3ZVZLGM","canonical_record":{"source":{"id":"2501.12988","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-22T16:20:47Z","cross_cats_sorted":[],"title_canon_sha256":"acc2c68afff00f87a0840cd257812fd098100a7c4b34741d468256dd2f77f65f","abstract_canon_sha256":"2c233fe9e839c321ef9c9d4f355caf64cac4f7cfb129f89b98929b3d7515f497"},"schema_version":"1.0"},"canonical_sha256":"8ef35caccc78812271c456c26193934a76fa9e846351c37030a81aeb46fa4c7d","source":{"kind":"arxiv","id":"2501.12988","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12988","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12988v1","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12988","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"R3ZVZLGMPCAS","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"R3ZVZLGMPCASE4OE","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"R3ZVZLGM","created_at":"2026-07-05T10:04:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:R3ZVZLGMPCASE4OEK3BGDE4TJJ","target":"record","payload":{"canonical_record":{"source":{"id":"2501.12988","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-22T16:20:47Z","cross_cats_sorted":[],"title_canon_sha256":"acc2c68afff00f87a0840cd257812fd098100a7c4b34741d468256dd2f77f65f","abstract_canon_sha256":"2c233fe9e839c321ef9c9d4f355caf64cac4f7cfb129f89b98929b3d7515f497"},"schema_version":"1.0"},"canonical_sha256":"8ef35caccc78812271c456c26193934a76fa9e846351c37030a81aeb46fa4c7d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:04:01.368115Z","signature_b64":"nFSA+iJmyNct8oZBTPXV8JQy83jmu4MD9FUv8NlzU1BSdiXKIkNa8tQonzZl6CEypQlLYNjuSQTMUrVI1LB/DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ef35caccc78812271c456c26193934a76fa9e846351c37030a81aeb46fa4c7d","last_reissued_at":"2026-07-05T10:04:01.367661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:04:01.367661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.12988","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":"2026-07-05T10:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JA0z/q6CAzR0rp/Y3E5JOdDyv86aNvR7AH5gIPd8ONfkPOUnMb9KrrpRN+cyD7MYQiNGUOPevppuQ3viYIiiBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:01:40.284890Z"},"content_sha256":"dbcec39a3361ab0569b04340824ebc146db674ac7d7c0cd0c30a650b05a0a5c0","schema_version":"1.0","event_id":"sha256:dbcec39a3361ab0569b04340824ebc146db674ac7d7c0cd0c30a650b05a0a5c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:R3ZVZLGMPCASE4OEK3BGDE4TJJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Model-Based Semantic Communication System for Image Transmission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Osama Saleem, Soheyb Ribouh","submitted_at":"2025-01-22T16:20:47Z","abstract_excerpt":"The remarkable success of Large Language Models (LLMs) in understanding and generating various data types, such as images and text, has demonstrated their ability to process and extract semantic information across diverse domains. This transformative capability lays the foundation for semantic communications, enabling highly efficient and intelligent communication systems. In this work, we present a novel OFDM-based semantic communication framework for image transmission. We propose an innovative semantic encoder design that leverages the ability of LLMs to extract the meaning of transmitted d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12988","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/2501.12988/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":"2026-07-05T10:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NF4XDyFEvslLzJmspYCYkDWgBoUrbE37JQQ1e7HXcO2wM4+/Rxk3kNLcKK+aWgJfUwZR5/ggW9Y+1g4jsNhYCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:01:40.285421Z"},"content_sha256":"44840e62b16176f98dc99355ff4565056ba50ee2dc9103b328b7d018f91f1986","schema_version":"1.0","event_id":"sha256:44840e62b16176f98dc99355ff4565056ba50ee2dc9103b328b7d018f91f1986"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R3ZVZLGMPCASE4OEK3BGDE4TJJ/bundle.json","state_url":"https://pith.science/pith/R3ZVZLGMPCASE4OEK3BGDE4TJJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R3ZVZLGMPCASE4OEK3BGDE4TJJ/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":"2026-08-09T18:01:40Z","links":{"resolver":"https://pith.science/pith/R3ZVZLGMPCASE4OEK3BGDE4TJJ","bundle":"https://pith.science/pith/R3ZVZLGMPCASE4OEK3BGDE4TJJ/bundle.json","state":"https://pith.science/pith/R3ZVZLGMPCASE4OEK3BGDE4TJJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R3ZVZLGMPCASE4OEK3BGDE4TJJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:R3ZVZLGMPCASE4OEK3BGDE4TJJ","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":"2c233fe9e839c321ef9c9d4f355caf64cac4f7cfb129f89b98929b3d7515f497","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-22T16:20:47Z","title_canon_sha256":"acc2c68afff00f87a0840cd257812fd098100a7c4b34741d468256dd2f77f65f"},"schema_version":"1.0","source":{"id":"2501.12988","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12988","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12988v1","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12988","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"R3ZVZLGMPCAS","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"R3ZVZLGMPCASE4OE","created_at":"2026-07-05T10:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"R3ZVZLGM","created_at":"2026-07-05T10:04:01Z"}],"graph_snapshots":[{"event_id":"sha256:44840e62b16176f98dc99355ff4565056ba50ee2dc9103b328b7d018f91f1986","target":"graph","created_at":"2026-07-05T10:04:01Z","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/2501.12988/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The remarkable success of Large Language Models (LLMs) in understanding and generating various data types, such as images and text, has demonstrated their ability to process and extract semantic information across diverse domains. This transformative capability lays the foundation for semantic communications, enabling highly efficient and intelligent communication systems. In this work, we present a novel OFDM-based semantic communication framework for image transmission. We propose an innovative semantic encoder design that leverages the ability of LLMs to extract the meaning of transmitted d","authors_text":"Osama Saleem, Soheyb Ribouh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-22T16:20:47Z","title":"Large Language Model-Based Semantic Communication System for Image Transmission"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12988","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:dbcec39a3361ab0569b04340824ebc146db674ac7d7c0cd0c30a650b05a0a5c0","target":"record","created_at":"2026-07-05T10:04:01Z","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":"2c233fe9e839c321ef9c9d4f355caf64cac4f7cfb129f89b98929b3d7515f497","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-22T16:20:47Z","title_canon_sha256":"acc2c68afff00f87a0840cd257812fd098100a7c4b34741d468256dd2f77f65f"},"schema_version":"1.0","source":{"id":"2501.12988","kind":"arxiv","version":1}},"canonical_sha256":"8ef35caccc78812271c456c26193934a76fa9e846351c37030a81aeb46fa4c7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ef35caccc78812271c456c26193934a76fa9e846351c37030a81aeb46fa4c7d","first_computed_at":"2026-07-05T10:04:01.367661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:04:01.367661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nFSA+iJmyNct8oZBTPXV8JQy83jmu4MD9FUv8NlzU1BSdiXKIkNa8tQonzZl6CEypQlLYNjuSQTMUrVI1LB/DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:04:01.368115Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.12988","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dbcec39a3361ab0569b04340824ebc146db674ac7d7c0cd0c30a650b05a0a5c0","sha256:44840e62b16176f98dc99355ff4565056ba50ee2dc9103b328b7d018f91f1986"],"state_sha256":"c7ceaa8baf58123e499c088039e2f7f274e0e3d1de902fa5c54e7702e5532acd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"35/6Zvyw4H3qyfLgRq0FJ2CjOjwKUYzpel34JqFJdSrvbZdwmYGH40Qkr1gf9OFzd/cJhYvkquBscNa3RdzhDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T18:01:40.290347Z","bundle_sha256":"c7ae6d0932b1f2577b18bea12ff80dc951fbb8e8b5ab32f4805a6819cd336fa5"}}