{"as_of":"2026-08-11T00:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de338dfbf2246bb26f6647765668a9298152f7354c19534fc25b08e269bf438b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:54:45.832794Z","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":"2026-06-29T13:23:28.275291Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.08580","last_updated":"2024-12-13T03:13:47Z","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08580","snapshot_observed_at":"2026-08-06T17:54:45.832794Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11554","last_updated":"2025-08-03T03:07:39Z","snapshot_observed_at":"2026-08-10T12:57:12.016781Z","submitted_at":"2025-07-14T02:59:28Z","title":"Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:54:45.832794Z"},"links":{"cited_paper":"/paper/2412.08580","citing_paper":"/paper/2507.11554"},"observation_digest":"sha256:d67c04e10d3d28afbd049da77d4848a2065482e73d349209b87f42a71e7f9f87","observation_id":"df7408fd-27c2-4457-b7f9-ae574b7f88db","resolution":{"observed_at":"2026-08-06T17:54:45.832794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08580","last_updated":"2024-12-13T03:13:47Z","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08580","snapshot_observed_at":"2026-08-05T10:24:55.277570Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04126","last_updated":"2025-09-14T00:18:40Z","snapshot_observed_at":"2026-08-05T10:24:49.011461Z","submitted_at":"2025-09-04T11:44:28Z","title":"MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T10:24:55.277570Z"},"links":{"cited_paper":"/paper/2412.08580","citing_paper":"/paper/2509.04126"},"observation_digest":"sha256:e9c0d7102fd0d1e3a5090e6f1e0fc223ac3858f0642ec723fe33b1f36edc4f77","observation_id":"135ff03e-3a46-452c-a20b-1f67065b097e","resolution":{"observed_at":"2026-08-05T10:24:55.277570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08580","last_updated":"2024-12-13T03:13:47Z","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08580","snapshot_observed_at":"2026-08-04T16:37:26.605131Z","title":"LAION-SG: an enhanced large-scale dataset for training complex image-text models with structural annota- tions.CoRR, abs/2412.08580, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.12752","last_updated":"2026-06-10T12:19:54Z","snapshot_observed_at":"2026-08-09T17:37:01.795198Z","submitted_at":"2025-09-16T07:14:22Z","title":"Participatory AI: A Scandinavian Approach to Human-Centered AI","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-04T16:37:26.605131Z"},"links":{"cited_paper":"/paper/2412.08580","citing_paper":"/paper/2509.12752"},"observation_digest":"sha256:ab733545f34bf059716fe6adeefb05da17b6b058665e13d89328d5bd5a3db75e","observation_id":"102b8abe-38c3-4de5-9840-006b802b1dd5","resolution":{"observed_at":"2026-08-04T16:37:26.605131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08580","last_updated":"2024-12-13T03:13:47Z","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations","version":2},"cited_work":{"arxiv_id":"2412.08580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.08580","snapshot_observed_at":"2026-06-29T13:23:28.275291Z","title":"Available: https://arxiv.org/abs/2412.08580","venue":null,"work_id":"4c404b6a-4320-4c88-8e83-7d6f1f5c00b3","year":2024},"citing_paper":{"arxiv_id":"2601.09896","last_updated":"2026-04-30T21:54:22Z","snapshot_observed_at":"2026-08-02T09:07:48.354814Z","submitted_at":"2026-01-14T21:59:44Z","title":"The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-16T14:03:00.513248Z"},"links":{"cited_paper":"/paper/2412.08580","citing_paper":"/paper/2601.09896"},"observation_digest":"sha256:4fb3390f4160b7666fa70a7a01523fdaf10200ad08e2bd3ffd4d887af8397fbf","observation_id":"962b1cdd-4de4-4d1c-ad6b-b28f0bc8b750","resolution":{"observed_at":"2026-05-16T14:07:58.844481Z","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":"2412.08580","last_updated":"2024-12-13T03:13:47Z","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations","version":2},"cited_work":{"arxiv_id":"2412.08580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.08580","snapshot_observed_at":"2026-06-29T13:23:28.275291Z","title":"Available: https://arxiv.org/abs/2412.08580","venue":null,"work_id":"4c404b6a-4320-4c88-8e83-7d6f1f5c00b3","year":2024},"citing_paper":{"arxiv_id":"2602.07064","last_updated":"2026-04-07T13:49:35Z","snapshot_observed_at":"2026-08-03T13:22:02.057620Z","submitted_at":"2026-02-05T14:04:51Z","title":"OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-16T07:09:46.254851Z"},"links":{"cited_paper":"/paper/2412.08580","citing_paper":"/paper/2602.07064"},"observation_digest":"sha256:de1f8cfe33ce003bfc2557ff230634b7cfb1aa9eeee5349452308c617f3722c7","observation_id":"70f53f70-cb46-4cfd-85d9-90725dd80a60","resolution":{"observed_at":"2026-05-16T07:10:43.064327Z","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":"2412.08580","last_updated":"2024-12-13T03:13:47Z","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations","version":2},"cited_work":{"arxiv_id":"2412.08580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.08580","snapshot_observed_at":"2026-06-29T13:23:28.275291Z","title":"Available: https://arxiv.org/abs/2412.08580","venue":null,"work_id":"4c404b6a-4320-4c88-8e83-7d6f1f5c00b3","year":2024},"citing_paper":{"arxiv_id":"2602.19974","last_updated":"2026-05-07T22:11:37Z","snapshot_observed_at":"2026-07-06T22:46:45.213871Z","submitted_at":"2026-02-23T15:39:53Z","title":"RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-15T20:33:09.627731Z"},"links":{"cited_paper":"/paper/2412.08580","citing_paper":"/paper/2602.19974"},"observation_digest":"sha256:ac5930655a1c118848db307cb5935c7a7ae224bde50e0a14f8bfa7a5716c2cb8","observation_id":"2e607d0c-e40b-40a8-9b30-5d03d300f12f","resolution":{"observed_at":"2026-05-15T20:36:35.282252Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2412.08580","last_updated":"2024-12-13T03:13:47Z","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations","version":2},"cited_work":{"arxiv_id":"2412.08580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.08580","snapshot_observed_at":"2026-06-29T13:23:28.275291Z","title":"Available: https://arxiv.org/abs/2412.08580","venue":null,"work_id":"4c404b6a-4320-4c88-8e83-7d6f1f5c00b3","year":2024},"citing_paper":{"arxiv_id":"2605.28615","last_updated":"2026-05-27T15:27:13Z","snapshot_observed_at":"2026-08-05T15:04:02.464901Z","submitted_at":"2026-05-27T15:27:13Z","title":"Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T13:15:24.299457Z"},"links":{"cited_paper":"/paper/2412.08580","citing_paper":"/paper/2605.28615"},"observation_digest":"sha256:8f878dfd5acc7540cf3819e562e0f3fc94dcd5f2f571dc7913346570e567c075","observation_id":"557264fc-ffe9-48f0-ab1f-15a838f98369","resolution":{"observed_at":"2026-06-29T13:23:28.277687Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2412.08580/citation-record","integrity":"/paper/2412.08580/integrity","json":"/paper/2412.08580/citation-record.json","paper":"/paper/2412.08580"},"outbound":[],"paper":{"arxiv_id":"2412.08580","last_updated":"2024-12-13T03:13:47Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:05:23.685854Z","submitted_at":"2024-12-11T17:57:10Z","title":"LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.08580."}