{"as_of":"2026-08-10T19:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:79dac948febb56db5c5a549b33d136380f1015cbffb29ffe8f6da71acbd78b25","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T01:56:34.395472Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.08254/citation-record","integrity":"/paper/2605.08254/integrity","json":"/paper/2605.08254/citation-record.json","paper":"/paper/2605.08254"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.00653","last_updated":"2025-06-04T19:24:26Z","snapshot_observed_at":"2026-08-08T10:11:59.833732Z","submitted_at":"2025-05-31T17:45:18Z","title":"Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models","version":3},"cited_work":{"arxiv_id":"2506.00653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.00653","snapshot_observed_at":"2026-07-02T08:16:47.723815Z","title":"Bello, A","venue":null,"work_id":"f3a0c2cd-a15d-41c2-a12a-3969d7662c54","year":2025},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"cited_paper":"/paper/2506.00653","citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:43d1bcce5c118ee59770391f7140540d999f4638491456c1f1c4ed777826e6af","observation_id":"4162988a-02e1-4a80-8dd0-8f0f308515bf","resolution":{"observed_at":"2026-05-12T07:46:38.048741Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Brown, B","venue":null,"work_id":"8e180b3a-a506-460e-b38b-5d27a2fb6ab2","year":1901},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:99a7d63b252c687e33bc7f7aff6f0f792e024d4bc2400e12b4bd115b819fbdda","observation_id":"8c393461-2d7d-4d6d-ae7e-5adb36b9e2dd","resolution":{"observed_at":"2026-05-13T00:36:59.821779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.05637","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"075db3b0-712d-4de9-8dc7-ed3b7e433cfc","year":null},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:18797a72d9cef35a056653b6f003f96a8fb23b463afaf52f5dcbc8f0cc8fc4ea","observation_id":"00c1e247-3084-4ea5-8856-7825f7963f2f","resolution":{"observed_at":"2026-05-12T07:46:38.158243Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Hessel, A","venue":null,"work_id":"6ab0fd14-f293-4463-acca-ed2abb50bf5d","year":2021},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:512027cf88bd51b7b79237bf8b52b8767738990330bddf483a6a1200eb98a25e","observation_id":"0672c04b-73f3-41a7-a17b-451dac0a10b8","resolution":{"observed_at":"2026-05-13T00:36:59.817423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2025.acl-long.185","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ISBN 979-8-89176-251-0","venue":null,"work_id":"cc0c9248-c4d8-4223-9a07-c1f10e374f8e","year":2025},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:302ead822f8e4d1e5533565625ce6d7b0bad71de0f99d05a6648126ff2dd7339","observation_id":"536162ca-1b4f-468d-a000-df8fc2fe829a","resolution":{"observed_at":"2026-05-12T02:01:14.682983Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.04429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Oozeer, D","venue":null,"work_id":"ed2dc0f3-3d0c-4287-9098-ae025585b379","year":2025},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:bbde994e472b6e9490c8972130073047da14760830e452b453702087ea7f3840","observation_id":"7fb47a77-14f7-4403-ba49-e4feaa60ab7f","resolution":{"observed_at":"2026-05-12T07:46:38.701032Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.10679","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T06:56:44.344190Z","title":"Rodriguez, A","venue":null,"work_id":"724a4c23-9384-40af-bca4-03d5aa79d91e","year":2025},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:89396897c2531241e4df7c681f2f2dbfe11918d343523eceac9bd4d0f55d7e7b","observation_id":"90a4b900-7ced-4fc4-bd5e-773feca1d2b0","resolution":{"observed_at":"2026-05-12T07:46:38.506775Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03292","last_updated":"2025-06-03T18:32:01Z","snapshot_observed_at":"2026-08-07T21:57:37.609091Z","submitted_at":"2025-06-03T18:32:01Z","title":"HyperSteer: Activation Steering at Scale with Hypernetworks","version":1},"cited_work":{"arxiv_id":"2506.03292","doi":"10.48550/arxiv.2506.03292","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.03292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hypersteer: Activation steering at scale with hypernetworks","venue":"ArXiv.org","work_id":"41ca83ab-a2cd-4872-b715-cfa1616e93f7","year":2025},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"cited_paper":"/paper/2506.03292","citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:91f0bbad663e1018d9853fb166d2a93cd6e9f140a6944eab3a52234691b132f6","observation_id":"b2575903-2c06-4029-8bf9-ed2df4f98e31","resolution":{"observed_at":"2026-05-12T07:46:38.351706Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.18167","doi":"10.48550/arxiv.2506.18167","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding reasoning in thinking language models via steering vectors.arXiv preprint arXiv:2506.18167","venue":"arXiv (Cornell University)","work_id":"cf70c153-854b-4572-a6bb-96bcbbe896da","year":2025},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:b811fd08bf2d5d540c9fb9de4ccb910ec6b3b7d33a7a0fb677b71a8df5a50620","observation_id":"2ab238bd-7fcc-48e7-97de-5e841b48a17a","resolution":{"observed_at":"2026-05-12T07:46:37.975682Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13663","last_updated":"2024-12-19T06:32:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-18T09:39:44Z","title":"Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference","version":2},"cited_work":{"arxiv_id":"2412.13663","doi":"10.48550/arxiv.2412.13663","metadata_source":"pith","pith_arxiv_id":"2412.13663","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference","venue":"cs.CL","work_id":"7fa3fba6-ef2d-4e2f-adbe-a7236ebb4009","year":2024},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"cited_paper":"/paper/2412.13663","citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:81c4944f9d7aded18652b688cd742955292269fa9da82ae919e3a03a8065aa37","observation_id":"dea73a9e-4448-4684-8514-d82342991366","resolution":{"observed_at":"2026-05-20T17:46:47.428650Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:55:00.127757+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:55:00.127757+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01405","last_updated":"2025-03-03T06:14:14Z","snapshot_observed_at":"2026-07-06T16:26:38.284922Z","submitted_at":"2023-10-02T17:59:07Z","title":"Representation Engineering: A Top-Down Approach to AI Transparency","version":4},"cited_work":{"arxiv_id":"2310.01405","doi":"10.1609/aaai.v36i9.21196","metadata_source":"pith","pith_arxiv_id":"2310.01405","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Representation Engineering: A Top-Down Approach to AI Transparency","venue":"cs.LG","work_id":"45b326e2-e962-41a5-a542-2559e103a19b","year":2023},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"cited_paper":"/paper/2310.01405","citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:0269a70dcec8a64ff85367995a0c7d25a43ee81f1180d6d9326a0d665c7287b2","observation_id":"4bdf8311-efbb-4045-81fa-3c865b4e1a27","resolution":{"observed_at":"2026-05-12T07:46:37.796306Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"The singleton “Generic” category serves as the general source one; min/max counts cited in the main body refer to the ten thematic categories","venue":null,"work_id":"5e82b458-8e66-4716-9368-5d32600b9dd8","year":2000},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:2e425619bb71a4b3633975bf3039de3d12daadae3b8da2d51a06e012d3ece38f","observation_id":"21f5f56c-3947-49cc-b710-f4387d929bf4","resolution":{"observed_at":"2026-05-13T00:36:59.806055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e9dfbdda-5cc6-4c9c-9976-6c398f1fde9a","year":2024},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:c0f7d18b9681609644a6f034ecbb9d6d99d26b5ae18cd461ef366385d4db5f9a","observation_id":"afddc832-6f0f-4290-abda-0d4232e3338b","resolution":{"observed_at":"2026-05-13T00:36:59.802431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"more” or “less","venue":null,"work_id":"9e6334ff-b7bf-42de-815c-6da71bbae3c2","year":2026},"citing_paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:34.395472Z"},"links":{"citing_paper":"/paper/2605.08254"},"observation_digest":"sha256:902251614db74a5064d24dde3534b292838608cdb360d329d544690ed1fcb45c","observation_id":"b4e9d12b-d91e-483b-a9e7-2d5e5c76084b","resolution":{"observed_at":"2026-05-13T00:36:59.810308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.08254","last_updated":"2026-05-07T19:38:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-07T19:38:12Z","title":"HyperTransport: Amortized Conditioning of T2I Generative Models"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":9,"verified_fuzzy":4},"total_outbound_references":14},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2605.08254."}