{"as_of":"2026-08-10T12:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94d7e28c6cf0b83e781da7e8be5b23789f0f796af1a0b43568450748113bcc7b","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":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":27,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T22:31:17.338956Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":4,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-09T22:31:17.338956Z","title":"and Ganguli, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18797","last_updated":"2025-05-24T05:47:34Z","snapshot_observed_at":"2026-08-10T09:43:00.372250Z","submitted_at":"2025-01-30T23:20:41Z","title":"Compositional Generalization via Forced Rendering of Disentangled Latents","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-09T22:31:17.338956Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2501.18797"},"observation_digest":"sha256:fa9b62708d9c07ce1ed23676ccd6208785d69d804f2838025591d73351228dde","observation_id":"9d9f4834-2223-4443-9168-885dc41fa3d7","resolution":{"observed_at":"2026-08-09T22:31:17.338956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-09T12:44:17.858075Z","title":"and Ganguli, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02300","last_updated":"2025-06-12T11:56:50Z","snapshot_observed_at":"2026-08-09T12:34:50.707740Z","submitted_at":"2025-02-04T13:13:35Z","title":"Density Ratio Estimation with Conditional Probability Paths","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-09T12:44:17.858075Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2502.02300"},"observation_digest":"sha256:6df281bd021439c1894ec98c28189d6558406aa2708e3612f31e0552d61d0f64","observation_id":"be4f4c54-aec5-40c0-b47d-a851605d7c30","resolution":{"observed_at":"2026-08-09T12:44:17.858075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-08T11:44:44.240401Z","title":"and Ganguli, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07753","last_updated":"2025-02-11T18:27:27Z","snapshot_observed_at":"2026-08-08T14:51:46.857146Z","submitted_at":"2025-02-11T18:27:27Z","title":"Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T11:44:44.240401Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2502.07753"},"observation_digest":"sha256:02b200b374930cc908f1f386554b25b1f868606a98acabcac84f88b365cfee80","observation_id":"6e38b28e-3355-4706-8e41-43a02467ccd0","resolution":{"observed_at":"2026-08-08T11:44:44.240401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2503.03206","last_updated":"2026-04-05T03:35:40Z","snapshot_observed_at":"2026-08-01T14:26:26.507861Z","submitted_at":"2025-03-05T05:50:38Z","title":"An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-23T01:41:55.632680Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2503.03206"},"observation_digest":"sha256:7b40654ec19926ad7fe83ad62c6de29c3eda3112a927716471921c18f3540d4b","observation_id":"7cb4090e-7043-41eb-84a0-01d5e43a324c","resolution":{"observed_at":"2026-05-23T01:42:23.074888Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-07T14:57:51.559529Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16959","last_updated":"2025-09-01T20:18:07Z","snapshot_observed_at":"2026-08-07T14:50:14.651913Z","submitted_at":"2025-05-22T17:40:08Z","title":"Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T14:57:51.559529Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2505.16959"},"observation_digest":"sha256:245a984c370daf6086507308f25bae6a77736c0678fedd0ed7fb8135baeb9140","observation_id":"346fd06d-57f1-48df-a048-332ef855b60e","resolution":{"observed_at":"2026-08-07T14:57:51.559529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-07T12:01:41.769245Z","title":"An analytic theory of creativity in convolutional diffusion models.arXiv preprint arXiv:2412.20292, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00814","last_updated":"2025-06-06T02:23:52Z","snapshot_observed_at":"2026-08-07T11:55:08.867153Z","submitted_at":"2025-06-01T03:32:36Z","title":"GuessBench: Sensemaking Multimodal Creativity in the Wild","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:01:41.769245Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2506.00814"},"observation_digest":"sha256:f7a8ef5f9ec5114416d793d6580be72e7bf9ddd8343a08374032aca6c5e7e12b","observation_id":"263fe1e0-4dc0-44d6-bbae-5a84bc271634","resolution":{"observed_at":"2026-08-07T12:01:41.769245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-07T05:01:14.266952Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10038","last_updated":"2025-06-10T22:37:39Z","snapshot_observed_at":"2026-08-09T04:36:51.228004Z","submitted_at":"2025-06-10T22:37:39Z","title":"Ambient Diffusion Omni: Training Good Models with Bad Data","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:14.266952Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2506.10038"},"observation_digest":"sha256:6f8c9d482069d05d7293032dd77cb32153e630b1b6293be8a082c7117803a2f7","observation_id":"4950ea7c-ef66-402a-827a-8630bfa62772","resolution":{"observed_at":"2026-08-07T05:01:14.266952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-06T19:46:07.094069Z","title":"and Ganguli, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.04709","last_updated":"2025-07-07T07:00:02Z","snapshot_observed_at":"2026-08-06T19:39:11.757297Z","submitted_at":"2025-07-07T07:00:02Z","title":"Spooky Action at a Distance: Normalization Layers Enable Side-Channel Spatial Communication","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T19:46:07.094069Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2507.04709"},"observation_digest":"sha256:3780c99cb3d732c3ff1c60c26acc5f4a9b6620bc7b89feec2219efc59db5cf88","observation_id":"6e9f6f45-ef9c-40aa-a7f9-0836ef89fc88","resolution":{"observed_at":"2026-08-06T19:46:07.094069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2508.06614","last_updated":"2026-04-22T03:44:17Z","snapshot_observed_at":"2026-08-02T05:49:46.284505Z","submitted_at":"2025-08-08T18:01:01Z","title":"Local Diffusion Models and Phases of Data Distributions","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T23:34:21.437338Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2508.06614"},"observation_digest":"sha256:5fb64636fbbb863165ffd9cb0b65dcee0c849d2b40c99bb6998205b0d17a6a7c","observation_id":"5bfa087b-a96a-437c-9afb-9866830850d6","resolution":{"observed_at":"2026-05-18T23:36:54.654794Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2509.25003","last_updated":"2026-04-23T20:34:50Z","snapshot_observed_at":"2026-08-04T08:07:30.068315Z","submitted_at":"2025-09-29T16:28:55Z","title":"Score-based Membership Inference on Diffusion Models","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-18T12:34:32.984949Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2509.25003"},"observation_digest":"sha256:8d41521b13e1b0d5833a969cb7b6611afe118a88ef0515c3627a8d3ac5d8825d","observation_id":"f11127d9-15c7-4eed-9100-e172b8e1d893","resolution":{"observed_at":"2026-05-18T12:36:22.542646Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2512.11415","last_updated":"2026-07-05T16:26:04Z","snapshot_observed_at":"2026-08-06T02:38:52.899604Z","submitted_at":"2025-12-12T09:48:08Z","title":"Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-16T23:10:54.725917Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2512.11415"},"observation_digest":"sha256:00ea822e3dc68830584a84300b4baeda04f201f655ec3f5c8387a077437d5f3d","observation_id":"dfd05fc4-9c2f-47f6-91b5-82076471024c","resolution":{"observed_at":"2026-05-16T23:11:20.706342Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-03T16:56:30.904893Z","title":"Kamb and S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.11415","last_updated":"2026-07-05T16:26:04Z","snapshot_observed_at":"2026-08-06T02:38:52.899604Z","submitted_at":"2025-12-12T09:48:08Z","title":"Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T16:56:30.904893Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2512.11415"},"observation_digest":"sha256:e0df9fd2698a790ee970c1ab65109099ce41bc4fb0e111769c11320b483e57f3","observation_id":"3a2a5aa5-82a3-409a-b543-7dfe0e034d13","resolution":{"observed_at":"2026-08-03T16:56:30.904893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-03T05:17:22.790370Z","title":"2412.20292","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02908","last_updated":"2026-07-04T02:27:23Z","snapshot_observed_at":"2026-08-07T10:17:56.407134Z","submitted_at":"2026-02-02T23:30:28Z","title":"A Random Matrix Theory Perspective on the Consistency of Diffusion Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T05:17:22.790370Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2602.02908"},"observation_digest":"sha256:3778f52a8aebf42ca0a31d7f54923b373d92eec01b20364448337ec5ca25e392","observation_id":"37dbc0fb-f760-4a1e-b5b8-c4075851a3cd","resolution":{"observed_at":"2026-08-03T05:17:22.790370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-03T05:17:22.711308Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02908","last_updated":"2026-07-04T02:27:23Z","snapshot_observed_at":"2026-08-07T10:17:56.407134Z","submitted_at":"2026-02-02T23:30:28Z","title":"A Random Matrix Theory Perspective on the Consistency of Diffusion Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T05:17:22.711308Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2602.02908"},"observation_digest":"sha256:b3066e9bcc411aa2ee3a43b74edaf2ff859a3da8df92c064386174bf39d282b2","observation_id":"0b778e81-69ae-4cc7-a3e8-6de061d3c2a7","resolution":{"observed_at":"2026-08-03T05:17:22.711308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-02T21:26:59.580841Z","title":"An analytic theory of creativity in convolutional diffusion models.arXiv preprint arXiv:2412.20292, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.20360","last_updated":"2026-06-28T22:31:13Z","snapshot_observed_at":"2026-08-03T22:05:49.929640Z","submitted_at":"2026-02-23T21:06:35Z","title":"Momentum Guidance: Plug-and-Play Guidance for Flow Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T21:26:59.580841Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2602.20360"},"observation_digest":"sha256:d70aadb7bbe9114c8db899b7da7af9feaead80baf768b4bfacf63512fdb9324a","observation_id":"4ecb3e9a-c028-40e6-ac94-f2a69753edf7","resolution":{"observed_at":"2026-08-02T21:26:59.580841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2603.13419","last_updated":"2026-05-20T10:08:19Z","snapshot_observed_at":"2026-07-06T22:48:57.474272Z","submitted_at":"2026-03-12T21:02:17Z","title":"Diffusion Models Memorize in Training -- and Generalize in Inference","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-21T10:52:31.849094Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2603.13419"},"observation_digest":"sha256:2df354a8cc1406e1fd6d1544171d7424e83a5c212e64f7e53c46d99d956b6249","observation_id":"e968bcad-87f7-4717-80fe-e2f2124da6c6","resolution":{"observed_at":"2026-05-21T10:54:07.850284Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2604.09979","last_updated":"2026-04-11T01:27:15Z","snapshot_observed_at":"2026-07-06T22:58:43.155246Z","submitted_at":"2026-04-11T01:27:15Z","title":"A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T16:36:05.941649Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2604.09979"},"observation_digest":"sha256:52242f2b2c5fbae09a614b1c44b9ca307af1f1cd64a38d034dc638fbd00d4f15","observation_id":"9673363e-e3e8-4371-934d-fac30a2d26f7","resolution":{"observed_at":"2026-05-11T08:30:57.489350Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2604.15306","last_updated":"2026-04-16T17:59:43Z","snapshot_observed_at":"2026-07-06T23:02:53.677687Z","submitted_at":"2026-04-16T17:59:43Z","title":"Generalization in LLM Problem Solving: The Case of the Shortest Path","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T10:37:45.355872Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2604.15306"},"observation_digest":"sha256:a9f1e53ac363f61456d41ff0b753961774fa7be88ed2dbfdf089b78bc7654ba0","observation_id":"e8c197ea-3d53-4650-9836-7a0b8ac29e68","resolution":{"observed_at":"2026-05-10T10:39:38.216807Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2604.26841","last_updated":"2026-04-29T16:06:45Z","snapshot_observed_at":"2026-07-06T23:12:24.456023Z","submitted_at":"2026-04-29T16:06:45Z","title":"Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-07T12:22:43.354047Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2604.26841"},"observation_digest":"sha256:170ceab185eeead0a5700e1dd3edb7f036ef19d2d544310d4b286c0c94c7781c","observation_id":"808f2e6a-81e9-4658-a475-b914e444f2ad","resolution":{"observed_at":"2026-05-12T09:11:27.281107Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2605.00273","last_updated":"2026-06-08T16:33:25Z","snapshot_observed_at":"2026-08-02T14:38:38.045362Z","submitted_at":"2026-04-30T22:18:33Z","title":"When Do Diffusion Models learn to Generate Multiple Objects?","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-01T08:07:10.345273Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2605.00273"},"observation_digest":"sha256:64003bc8f1489c012a552b4fa165294b40ea8f7a0d0548e1fe91ee15a816ad94","observation_id":"e8c71984-eb6f-44cb-a05f-c39d13411e80","resolution":{"observed_at":"2026-07-01T08:15:32.086639Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2605.04830","last_updated":"2026-05-06T12:24:57Z","snapshot_observed_at":"2026-08-08T03:36:25.982963Z","submitted_at":"2026-05-06T12:24:57Z","title":"Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T17:27:16.554144Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2605.04830"},"observation_digest":"sha256:5814c3a9dc96d232658663be29c1a8d873a3b51037ade76f3e63bd6b4832caa7","observation_id":"3b1a053e-003a-4eff-87e6-330d6b5d7320","resolution":{"observed_at":"2026-05-11T17:36:04.457825Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2605.16348","last_updated":"2026-05-08T04:03:46Z","snapshot_observed_at":"2026-07-06T23:27:29.931962Z","submitted_at":"2026-05-08T04:03:46Z","title":"Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-20T22:22:22.111374Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2605.16348"},"observation_digest":"sha256:42378bc1e5336eec010808b0bea15b5ad6ecf5e58b7706ebaafed83ff5dfa160","observation_id":"881a0c71-dd5c-406f-8cb9-232fea7e7c62","resolution":{"observed_at":"2026-05-20T22:23:47.746855Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2605.20299","last_updated":"2026-05-19T12:34:16Z","snapshot_observed_at":"2026-07-06T23:30:53.900592Z","submitted_at":"2026-05-19T12:34:16Z","title":"Mechanisms of Misgeneralization in Physical Sequence Modeling","version":1},"reference_index":106,"source":"arxiv_source","source_observed_at":"2026-05-21T07:44:37.810511Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2605.20299"},"observation_digest":"sha256:421f3a978035d4d116a6939a5c810dfe5f43bb4e3d83827a5dc44f74e5e69041","observation_id":"f505f440-273a-4e71-bec4-2924befbf161","resolution":{"observed_at":"2026-05-21T07:44:48.771640Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2606.01238","last_updated":"2026-05-31T13:40:47Z","snapshot_observed_at":"2026-08-01T23:35:01.141226Z","submitted_at":"2026-05-31T13:40:47Z","title":"Training-Free Imitation Learning with Closed-Form Diffusion Policies","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T17:07:46.856210Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2606.01238"},"observation_digest":"sha256:a4e7476dc6dff009703f9f91e5ae7702edc6e6b532bb0aa22ab2e23e640fdcf7","observation_id":"1f8ab69a-3aa0-4d45-b776-bf4d048cf761","resolution":{"observed_at":"2026-06-28T17:12:24.904229Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2606.06624","last_updated":"2026-06-08T15:12:03Z","snapshot_observed_at":"2026-08-02T09:46:22.331867Z","submitted_at":"2026-06-04T18:21:03Z","title":"Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-28T03:07:52.730713Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2606.06624"},"observation_digest":"sha256:2d4c5ee5cc217bbf0a246b70fea2ea2004cafae41f886e38f31692a1ea9f585e","observation_id":"653dfbfc-d1f7-4dfe-bb8e-777e2049609a","resolution":{"observed_at":"2026-07-02T11:46:55.243902Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":"2412.20292","doi":"10.48550/arxiv.2412.20292","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An analytic theory of creativity in convolutional diffusion models","venue":"arXiv (Cornell University)","work_id":"f18f1029-2aef-47f7-89fb-2b09fdf163d7","year":1960},"citing_paper":{"arxiv_id":"2606.19594","last_updated":"2026-06-17T20:56:44Z","snapshot_observed_at":"2026-08-02T12:17:21.328593Z","submitted_at":"2026-06-17T20:56:44Z","title":"Unsupervised Causal Abstractions Discovery","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-26T20:45:15.226889Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2606.19594"},"observation_digest":"sha256:3a4c5610cf9ca9ff6742b78133b5314b1565b1b16cd314c399920ac34c01d10e","observation_id":"bf495850-7beb-48eb-8089-a07374930434","resolution":{"observed_at":"2026-06-26T20:49:57.417203Z","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":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-01T22:40:53.458793Z","title":"An analytic theory of creativity in convolutional diffusion models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15693","last_updated":"2026-07-17T07:11:57Z","snapshot_observed_at":"2026-08-10T00:55:11.997418Z","submitted_at":"2026-07-17T07:11:57Z","title":"Toward a mechanistic understanding of inference in visual cortex and diffusion models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T22:40:53.458793Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2607.15693"},"observation_digest":"sha256:d4befd2160c5131393f0d12e3b734273a8fe1d16883beb94fe53cabfab915e20","observation_id":"53a221c2-71ce-4987-a852-4d8da12d1146","resolution":{"observed_at":"2026-08-01T22:40:53.458793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.20292/citation-record","integrity":"/paper/2412.20292/integrity","json":"/paper/2412.20292/citation-record.json","paper":"/paper/2412.20292"},"outbound":[],"paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T07:01:18.506797Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2412.20292."}