{"as_of":"2026-08-09T15:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ef2ab91d36a0278a8bdd979d9b99eeeadfe3504f8bbfd47588507e377f3f8731","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:28:54.354405Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T04:26:08.100591Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-12T06:16:28.410983Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"cited_work":{"arxiv_id":"2507.01038","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.01038","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cross- attention message-passing transformers for code-agnostic decoding in 6g networks","venue":null,"work_id":"335f561c-a74a-46f7-b696-0b3e9f576306","year":2025},"citing_paper":{"arxiv_id":"2605.10681","last_updated":"2026-05-11T14:57:41Z","snapshot_observed_at":"2026-07-06T23:22:37.355450Z","submitted_at":"2026-05-11T14:57:41Z","title":"Scalable Mamba-Based Message-Passing Neural Decoder for Error-Correcting Codes","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-12T04:26:08.100591Z"},"links":{"cited_paper":"/paper/2507.01038","citing_paper":"/paper/2605.10681"},"observation_digest":"sha256:525976e40686829ac0cf8066d6c68ea2e09645b772cd18c6beb8c3bbe0a48e5d","observation_id":"d46eca61-7f11-47a3-b23d-71296ad26c4a","resolution":{"observed_at":"2026-05-12T06:16:28.414249Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.01038/citation-record","integrity":"/paper/2507.01038/integrity","json":"/paper/2507.01038/citation-record.json","paper":"/paper/2507.01038"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:06.873035Z","title":"CrossMPT: Cross-attention message-passing transformer for error correcting codes,","venue":null,"work_id":"24e52411-1969-4ee0-aa46-b69eeb8d0b37","year":2025},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:47.981606Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:4509680a330a14b432707945a46f13647e64e0f12aee64226910cc0659abe347","observation_id":"99fa8f4e-d92f-4945-90c9-9588087e52b5","resolution":{"observed_at":"2026-08-06T23:29:07.024742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:06.622918Z","title":"A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,","venue":null,"work_id":"efd66ede-0720-419f-9bf6-03daaae8ff13","year":2020},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:48.102787Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:dae675918a6aa63c6b9ed05640122ff610260073158fafdc8067094a0d76875f","observation_id":"9d401ff0-5baa-4e33-86d4-9854586fe62c","resolution":{"observed_at":"2026-08-06T23:29:06.721206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:48.243109Z","title":"The road towards 6G: A comprehensive survey,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:48.243109Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:2ff18fafaf34ef4e7a336dc3051a50f1251850124e52526aeb24bf875d2d6c22","observation_id":"0dc412dc-e62f-4210-b86d-2d9bcba02ed9","resolution":{"observed_at":"2026-08-06T23:28:48.243109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:06.204766Z","title":"Trends in channel coding for 6G,","venue":null,"work_id":"93b812cb-9774-4d14-a9a1-b5d11ab74185","year":2024},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:48.339604Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:8a0ea22584ab56e5fe40c816bd7c026ab93b9c035fe849cf28e83a012b23afa5","observation_id":"69ee98ba-5735-48f8-9dad-249566704fa0","resolution":{"observed_at":"2026-08-06T23:29:06.344824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:05.854749Z","title":"6G: A welcome chance to unify channel coding?","venue":null,"work_id":"a9e7bda2-1248-446a-b419-8ded2e48688c","year":2023},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:48.486103Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:9041da4f8e0b5bec1d3efd264e797b2b097cd7840ba93a406513faaa0a204ca7","observation_id":"c5d439d7-5ed1-45eb-84ba-cb9daba312ca","resolution":{"observed_at":"2026-08-06T23:29:05.998499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:05.546277Z","title":"Channel coding for 6g extreme connectivity- requirements, capabilities and fundamental tradeoffs,","venue":null,"work_id":"2db51467-45b6-4229-a7fb-3af90d3b09f8","year":2023},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:48.626689Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:b81aee05e98c74e7f85f225cd285df96ae789184772dc66355c481908a4dc5a8","observation_id":"77e717d5-e5a1-493d-bab4-ba3874f30a62","resolution":{"observed_at":"2026-08-06T23:29:05.704808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:05.272123Z","title":"BERT: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":"f6d700de-166f-40fd-8bf8-fed1966d55a8","year":2019},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:48.817920Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:41e4d2369075b42775f4e0548374094d0047f8457d933781d3d446804c1ab25a","observation_id":"4f88ea34-8c5b-4d8b-9219-4bdcba5b9aeb","resolution":{"observed_at":"2026-08-06T23:29:05.359843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:04.963277Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":"4180525a-7535-4e7d-80fa-48fe8f80ab19","year":2016},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:49.083168Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:e481d2a918d93b5813e068e6aa6b5cfe9f201400e39b29661b0bd8e3a0878d58","observation_id":"cb1eb04b-06e6-4cfa-bcaa-fa0a76c2b5e2","resolution":{"observed_at":"2026-08-06T23:29:05.092082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:04.643690Z","title":"Rich feature hierarchies for accurate object detection and semantic segmentation,","venue":null,"work_id":"38f5e35a-ab9c-45e6-b077-7959645d88c6","year":2014},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:49.231432Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:a598bc182b0b8ceff2f978f9db329c91cc963936a371926e5f5a8db393f8672d","observation_id":"f17da101-b8a6-400b-a8e2-899db34af386","resolution":{"observed_at":"2026-08-06T23:29:04.773165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:04.294744Z","title":"End-to-end object detection with transformers,","venue":null,"work_id":"51a68c3b-b694-42e0-8253-c0f0092dcd5d","year":2020},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:49.384749Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:3f2fb68d42d73d924b01bdc646e02d739beaf3c90c6376da2d59b7001b456448","observation_id":"7b16bf60-c530-493f-a0c5-c9fad8703ae5","resolution":{"observed_at":"2026-08-06T23:29:04.464746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:03.904759Z","title":"The capacity of low-density parity check codes under message-passing decoding,","venue":null,"work_id":"a1fae18c-008b-4b7c-9043-bccbdecb2299","year":2001},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:49.552756Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:87518031f79d5ebab1e6d85e1e037e66b8e4339ef8f3b515f33c15d6be28c7db","observation_id":"5d8285a4-3d92-4feb-80a5-a5df20583331","resolution":{"observed_at":"2026-08-06T23:29:04.002493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:03.294744Z","title":"Reduced complexity iterative decoding of low-density parity check codes based on belief propagation,","venue":null,"work_id":"02f98197-f165-4077-a593-73b242042855","year":1999},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:49.694830Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:b7b6373ae0064f67496e9721baa4e4d1ba600685247a0235c5215e6e1bb8602d","observation_id":"1f234f79-d0d1-4582-a93d-6fb4db6c5725","resolution":{"observed_at":"2026-08-06T23:29:03.555415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:02.847591Z","title":"Soft-decision decoding of linear block codes based on ordered statistics,","venue":null,"work_id":"ddae1ca2-131b-4afc-8e65-db7f7441c146","year":1995},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:49.807077Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:8aac779adb845c436741dfa308b1323dd3eff620a9886b1ad9e12c21b852331f","observation_id":"e8ff24a8-ddf8-4cb7-b36e-780babe95612","resolution":{"observed_at":"2026-08-06T23:29:03.029876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:50.048020Z","title":"Capacity-achieving guessing random additive noise decoding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:50.048020Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:c9e1943b9124a3719f9b82d64b4a4540cca953eae6ed53eb8e790504848b3baa","observation_id":"cf17589e-3898-48aa-93c5-0111dbd8edf1","resolution":{"observed_at":"2026-08-06T23:28:50.048020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:02.373298Z","title":"Deep learning methods for improved decoding of linear codes,","venue":null,"work_id":"8c6046a3-7e04-4cad-aeb0-6830ffb10348","year":2018},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:50.213782Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:8b29357f6e78b1f85f77578258dbbe52472b38105547a6037584e9cf2d044fff","observation_id":"4bcfb3a2-4ea8-4da4-8d11-698f59f7cb84","resolution":{"observed_at":"2026-08-06T23:29:02.569710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:01.973075Z","title":"Learning to decode protograph LDPC codes,","venue":null,"work_id":"00eabc21-f0c7-487e-b0ef-555544cc2f97","year":1983},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:50.462555Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:494d902447dacf8f14b7ea9cd9e784ee1d537aa7f678b45fde3857f01e6ab7e0","observation_id":"75e06539-a3b4-4725-8fd6-bf8e7ccce9e8","resolution":{"observed_at":"2026-08-06T23:29:02.140198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:01.524824Z","title":"Hyper-graph-network decoders for block codes,","venue":null,"work_id":"1f0c70c2-0c38-4625-9178-1b6a76e05b35","year":2019},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:50.644869Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:cf9241978be13d07746c406a3c8f2bbb4563bd1fae4d45566bac4dea579d2a33","observation_id":"b60856e0-28b1-422f-9db1-960d0eb91014","resolution":{"observed_at":"2026-08-06T23:29:01.665698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.11780","last_updated":"2021-01-23T17:14:55Z","snapshot_observed_at":"2026-07-06T10:52:05.785855Z","submitted_at":"2021-01-23T17:14:55Z","title":"Autoregressive Belief Propagation for Decoding Block Codes","version":1},"cited_work":{"arxiv_id":"2103.11780","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.11780","snapshot_observed_at":"2026-08-06T23:28:54.834918Z","title":"Autoregressive Belief Propagation for Decoding Block Codes","venue":"cs.IT","work_id":"6da80bfc-a1cd-4f91-a36d-3f62b1e9fe94","year":2021},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:50.811950Z"},"links":{"cited_paper":"/paper/2103.11780","citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:fd55b8cef9faacd56e5f9c623cf78ed7baa5a4d27edb735df6c4a6212a26b712","observation_id":"317435f6-87b7-40bf-bb4f-3e55eed6b272","resolution":{"observed_at":"2026-08-06T23:28:55.056653Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:01.284751Z","title":"Boosting learning for LDPC codes to improve the error-floor performance,","venue":null,"work_id":"c9150eb2-715f-4b02-a80a-d2a104e4a5ac","year":2023},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:50.980331Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:72372f2d78ad65e4d3e5ed5223a9becb1155ac5aba94cf13ef25bb04bf33143c","observation_id":"807ea82c-62a6-464b-893a-61a15727621c","resolution":{"observed_at":"2026-08-06T23:29:01.350411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:00.904732Z","title":"Neural min-sum decoding for generalized LDPC codes,","venue":null,"work_id":"44ecd164-c7bd-4bb5-9d4d-52ed40b92a27","year":2022},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:51.164870Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:51f3a05efd52fb0194ffc35ec79a5123ad7df793f409fc82294443a6e4d0af18","observation_id":"596fde76-c18a-44d0-8867-31813d9496bf","resolution":{"observed_at":"2026-08-06T23:29:01.056172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:29:00.564735Z","title":"Boosted neural decoders: Achieving extreme reliability of ldpc codes for 6G networks,","venue":null,"work_id":"2329b7e5-bc6b-45f6-a627-72700c484cc8","year":2025},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:51.355167Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:f2101545585e0f67c6700c9ca66f8b00afb9e06c3e1f69fe75a21ee71c5cc905","observation_id":"fbfcc6f9-e243-4772-a1e3-3249fb3ea247","resolution":{"observed_at":"2026-08-06T23:29:00.752893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:59.984741Z","title":"Pruning and quantizing neural belief propagation decoders,","venue":null,"work_id":"714223ab-198b-48e3-b64c-44b5459c5e8b","year":1957},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:51.564940Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:b53e76c1d0559541256a1fec6ed2ea2e8846db90137f8ed56c9e7af72a1df491","observation_id":"a5880c23-89f3-4b75-8858-2cd3276b90fe","resolution":{"observed_at":"2026-08-06T23:29:00.316142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:59.584733Z","title":"On deep learning- based channel decoding,","venue":null,"work_id":"b28c7660-13a9-48e4-b790-809a4e05f2e4","year":2017},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:51.830227Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:dc9a93fe7882b790d436613cf23d9a2bd67d4f456ebeaf5c36f19b887b089c17","observation_id":"9ea12826-3019-46b0-94b9-2275c6948afe","resolution":{"observed_at":"2026-08-06T23:28:59.775898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:59.211023Z","title":"Scaling deep learning-based decoding of polar codes via partitioning,","venue":null,"work_id":"e38fabd7-1190-4770-8f66-2f9678eefb29","year":2017},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:52.044743Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:3ac72e27de95d8661bdc921e66f63583d30174f092c1e1c2fe552b17a43fbef7","observation_id":"656948cc-6f10-4cef-b0e6-9c2df22d7b6d","resolution":{"observed_at":"2026-08-06T23:28:59.364738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:58.869570Z","title":"Deep learning for decoding of linear codes - A syndrome-based approach,","venue":null,"work_id":"4efc116c-f7d4-48ec-8b4d-26d5aa25513e","year":2018},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:52.236486Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:7835f744a0a18e615ce7cf3c1723340a988acd9e157a33f52964294ed1a1dd2b","observation_id":"bc34c726-0917-4f50-bfe1-fb245ce86a96","resolution":{"observed_at":"2026-08-06T23:28:59.002958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:58.555183Z","title":"Error correction code transformer,","venue":null,"work_id":"7f6e9494-788d-477f-9170-569a9a512d30","year":2022},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:52.439290Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:a3ef33603ffc93e74f4b1036253bbd5e51633684fee1e55f0cc9e8db2d484cd6","observation_id":"ae11198e-d435-4331-ab02-0901490ade03","resolution":{"observed_at":"2026-08-06T23:28:58.661178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:58.254747Z","title":"Denoising diffusion error correction codes,","venue":null,"work_id":"5557b084-62b0-447e-baec-9a9e89e3aacc","year":2023},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:52.610819Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:cbfa4fb9e54225fec67eb9cd2dadd346181a7b07bd9efb80e62296a708cec320","observation_id":"57ac2d8a-9007-4d8d-b077-16cfce7baaaa","resolution":{"observed_at":"2026-08-06T23:28:58.415192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:57.775031Z","title":"Multiple- masks error correction code transformer for short block codes,","venue":null,"work_id":"e24ed032-e195-4dad-8e11-8212ce4075af","year":2025},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:52.794926Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:bbf9bfd21e2b09ccf490333c4eaa1cba283e95f01a413b15450d4b59ce422cfe","observation_id":"816c27e4-c536-47fc-a4f2-6e5818e4ca3a","resolution":{"observed_at":"2026-08-06T23:28:58.036501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:57.444297Z","title":"A foundation model for error correction codes,","venue":null,"work_id":"e85d1d07-9a1c-47e4-a458-64529dfafeda","year":2024},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:52.995032Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:a7f926ee212e28478090cbadd22d3068cabf0ce85e3800310ee2cc49e64ae896","observation_id":"b9df3688-e7ec-4c62-bce6-fe1ee6acdfa8","resolution":{"observed_at":"2026-08-06T23:28:57.576555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:57.146561Z","title":"Attention is all you need,","venue":null,"work_id":"4aee1877-10ad-412a-af73-491513127087","year":2017},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:53.235446Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:fb93720a961badb7ae5b2ce2f4c0fe50683b9c79a5391e018b29da8ed9e9b72b","observation_id":"72c53df8-cd76-4890-875b-44b59c1e1cc4","resolution":{"observed_at":"2026-08-06T23:28:57.321598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:56.844738Z","title":"An image is worth16×16words: Transformers for image recognition at scale,","venue":null,"work_id":"56e72cb3-ed3b-4fb7-8ef3-257a7fff39d0","year":2021},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:53.464757Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:7021e3a2aab87fcbf531ed1c4dc8a0f36ccdd05368acf15ca602fc9d1fa20fb0","observation_id":"8ba1bc75-371f-4d7c-955a-61c51ae7e848","resolution":{"observed_at":"2026-08-06T23:28:56.977037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:56.294499Z","title":"Speech-transformer: A no-recurrence sequence-to-sequence model for speech recognition,","venue":null,"work_id":"df4afc7b-158b-404d-8189-2e638ce93278","year":2018},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:53.713047Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:6a6a073faead26fb31ea3bc18f232de5f54581fd591b6e58f598d19c0be906de","observation_id":"0bb3e07f-f8d8-4b94-b20d-db661711f491","resolution":{"observed_at":"2026-08-06T23:28:56.504768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:55.894742Z","title":"Highly accurate protein structure prediction with AlphaFold,","venue":null,"work_id":"fce62a46-6b68-46c0-b3b5-356cccf5baa1","year":2021},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:53.904864Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:18a1522d48b4a6b4d91ef42bcef17d3c9393611bc02a8d9116052cc7c397afe2","observation_id":"dad840fc-d1de-4db4-a687-678afebe5097","resolution":{"observed_at":"2026-08-06T23:28:56.071546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T23:28:54.164817Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:54.164817Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:3a6f5fa94942646e26f1e0c329a45b7a7a6f33e72465b95703c41890158307bc","observation_id":"546fde33-02ab-41a1-8ee9-e15e09929f49","resolution":{"observed_at":"2026-08-06T23:28:54.164817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:28:55.494745Z","title":"Database of channel codes and ML simulation results,","venue":null,"work_id":"eaea531b-b16c-41b5-80c3-157cb7fa4fe3","year":2019},"citing_paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:28:54.354405Z"},"links":{"citing_paper":"/paper/2507.01038"},"observation_digest":"sha256:946e03edc1c3baceebd35848c4368b4af6e577851070db9fb8059a45e42b63d4","observation_id":"2dfdf764-3736-4197-a239-12cdc4e4499b","resolution":{"observed_at":"2026-08-06T23:28:55.659457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01038","last_updated":"2025-06-22T16:08:42Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-06T23:20:47.805852Z","submitted_at":"2025-06-22T16:08:42Z","title":"Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":31},"total_outbound_references":35},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2507.01038."}