{"as_of":"2026-08-05T21:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bf17077d0dedbd2578c414d610f2272179b81c9db77eea8d38b09fc43e187158","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-24T00:59:59.607299Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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":"2026-05-10T04:29:33.858344Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-11T11:56:11.856352Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"cited_work":{"arxiv_id":"2405.16730","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.16730","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","venue":"cs.LG","work_id":"086b5d11-4f53-4689-a7fe-1245179bffbb","year":2024},"citing_paper":{"arxiv_id":"2604.18907","last_updated":"2026-04-20T23:14:48Z","snapshot_observed_at":"2026-08-02T07:41:12.503888Z","submitted_at":"2026-04-20T23:14:48Z","title":"Gradient-Based Program Synthesis with Neurally Interpreted Languages","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-10T04:29:33.858344Z"},"links":{"cited_paper":"/paper/2405.16730","citing_paper":"/paper/2604.18907"},"observation_digest":"sha256:0bc3ee7052f37593c44116b8d2f7bb01e88d95bb7a396f8b06b2674627b81b24","observation_id":"b2c3b317-b1a9-4272-8968-bf7800231243","resolution":{"observed_at":"2026-05-11T11:56:11.876019Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.16730/citation-record","integrity":"/paper/2405.16730/integrity","json":"/paper/2405.16730/citation-record.json","paper":"/paper/2405.16730"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1609.07093","last_updated":"2017-02-06T18:46:50Z","snapshot_observed_at":"2026-07-06T05:11:50.145502Z","submitted_at":"2016-09-22T18:07:56Z","title":"Neural Photo Editing with Introspective Adversarial Networks","version":3},"cited_work":{"arxiv_id":"1609.07093","doi":null,"metadata_source":"pith","pith_arxiv_id":"1609.07093","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neural Photo Editing with Introspective Adversarial Networks","venue":"cs.LG","work_id":"ff793d16-265b-4269-9791-bb40e73d2ae0","year":2016},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"cited_paper":"/paper/1609.07093","citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:60e84e2ef8174061f0ffd5b98d2196dff672f81b71079b8e2a68cb8ada4cf0bc","observation_id":"78062951-7dd2-42cc-9703-9bab483af222","resolution":{"observed_at":"2026-05-24T01:03:41.439549Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"e2fe3adc-adea-42b4-a8c0-cb15278eb919","year":2020},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:a23d7acd23c0776098b878a1a1c013ab508a576b62017c4f5f674282b32795da","observation_id":"1baf2afe-0963-44e5-9ec4-c611d330aa60","resolution":{"observed_at":"2026-05-24T01:03:43.035049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.08689","last_updated":"2020-06-30T03:25:59Z","snapshot_observed_at":"2026-07-06T07:40:37.448174Z","submitted_at":"2019-03-20T18:34:29Z","title":"Implicit Generation and Generalization in Energy-Based Models","version":6},"cited_work":{"arxiv_id":"1903.08689","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.08689","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Implicit generation and generalization in energy-based models","venue":null,"work_id":"7c475b64-702a-4c73-80c8-0b1a6d31f654","year":2019},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"cited_paper":"/paper/1903.08689","citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:9d7efdc22dc418621cb7753d3cf9c9afbe40468ebca2c9cca9d77e1232ff5f83","observation_id":"259cc682-4d21-4f09-a003-5c159f525957","resolution":{"observed_at":"2026-05-24T01:03:41.412000Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"Automatic chemical design using a data-driven continuous representation of molecules.ACS central science, 4(2):268–276","venue":null,"work_id":"5a5d3861-c2f9-47f6-94e3-b5ae12282bc0","year":2018},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:69d970461f27b0ccb7a8db1e14cfd2729ae9a0c1c62f6892e9d39aa269012741","observation_id":"bcdf3c77-9ae5-48b3-8e75-565b195743c4","resolution":{"observed_at":"2026-05-24T01:03:43.038951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05441","last_updated":"2025-01-09T18:53:06Z","snapshot_observed_at":"2026-08-04T22:08:33.484749Z","submitted_at":"2025-01-09T18:53:06Z","title":"The GAN is dead; long live the GAN! A Modern GAN Baseline","version":1},"cited_work":{"arxiv_id":"2501.05441","doi":"10.48550/arxiv.2501.05441","metadata_source":"arxiv_reference","pith_arxiv_id":"2501.05441","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Alternating back-propagation for generator network","venue":"arXiv (Cornell University)","work_id":"c20b9749-86bb-4f8e-9445-3f07849b0c30","year":2017},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"cited_paper":"/paper/2501.05441","citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:0097bfba435e3743eff866bf4d9d80552b6ddb86e2d91d849f775b349afb0990","observation_id":"e0931b2e-16dc-4905-88f4-19bbe39d7ac7","resolution":{"observed_at":"2026-05-24T01:03:41.418198Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:8a6460163964f9d486b162123431d21c2f8a472a4ca4722d6b004b7027fda51e","observation_id":"07292281-efec-476c-81ca-ed3dc3c70404","resolution":{"observed_at":"2026-05-24T01:03:41.406411Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.10746","last_updated":"2020-04-22T17:56:07Z","snapshot_observed_at":"2026-07-06T09:14:26.793306Z","submitted_at":"2020-04-22T17:56:07Z","title":"Chip Placement with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2004.10746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.10746","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diff- instruct: A universal approach for transferring knowledge from pre-trained diffusion models","venue":null,"work_id":"0dc2e367-d56c-4514-8cd5-83ee36d4f337","year":2023},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"cited_paper":"/paper/2004.10746","citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:2573ab96d329b7a507a09eb47ab9199a284ac3747a530fa24eb44ccfd52761cd","observation_id":"1dcac268-af1b-451a-9e7b-422f81912d24","resolution":{"observed_at":"2026-05-24T01:03:41.428682Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.09351","last_updated":"2020-10-19T09:34:20Z","snapshot_observed_at":"2026-07-06T10:05:41.209309Z","submitted_at":"2020-10-19T09:34:20Z","title":"Learning Latent Space Energy-Based Prior Model for Molecule Generation","version":1},"cited_work":{"arxiv_id":"2010.09351","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.09351","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning latent space energy-based prior model","venue":null,"work_id":"59921899-aff5-4d72-aafc-b59179c30210","year":2026},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"cited_paper":"/paper/2010.09351","citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:59e8abfa0b6d3be62823c05635a27f274b342e9864dc73c7f6e8b8bd55a8df92","observation_id":"6638524c-993c-43a7-9e61-edb15b431b11","resolution":{"observed_at":"2026-05-24T01:03:41.433931Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06434","last_updated":"2016-01-07T23:09:39Z","snapshot_observed_at":"2026-08-04T04:34:27.861448Z","submitted_at":"2015-11-19T22:50:32Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":"1511.06434","doi":"10.48550/arxiv.1511.06434","metadata_source":"pith","pith_arxiv_id":"1511.06434","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","venue":"cs.LG","work_id":"fe2c86f4-daa0-4e36-b130-d09d98afa55a","year":2015},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"cited_paper":"/paper/1511.06434","citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:a64cc25b8bf2f26ccf66c5ae0b422810c217e5dec554ad652e13fa44d33f6b4a","observation_id":"78485793-e960-45bd-8614-bedda72f8de7","resolution":{"observed_at":"2026-05-24T01:03:41.401142Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"(11) Using(a−b) 2 ≤2a 2 + 2b2, we obtain V ar ∇αbLM (α) ≤ 2 n E M M+r α(xi∗) ∇α logr α(xi ∗) 2 + 2 n E M M+r α(xi","venue":null,"work_id":"23b19eba-3cbc-4d39-bff7-b7556e7520b1","year":null},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:b75b3e5c31025b98d6861dfc15ea286c287cf67b8c4640e881d4b29d281588db","observation_id":"226f98af-c2e8-42c5-b998-554319cafd0b","resolution":{"observed_at":"2026-05-24T01:03:43.027626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"(12) Since M M+r ≤1and M M+r ≤ M r for anyM, r >0, we further bound V ar ∇αbLM (α) ≤ 2 n E h ∇α logr α(xi ∗) 2i (13) + 2 n min n M 2 E h ∇α logr α(xi 0) 2i ,E h ∇αrα(xi 0) 2io","venue":null,"work_id":"0e881ecc-288b-4e00-8f42-f188dfb1e8b4","year":2026},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:7a9df9a48b48f1b8cb9a1056c6110376991735e4c7280e629f5b7c5584082326","observation_id":"af027f69-8988-4011-986c-05f0df1573a0","resolution":{"observed_at":"2026-05-24T01:03:43.031552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1900.00080","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"BOOTGEN (Kim et al., 2024) focuses specifcially on optimizing biological sequences","venue":null,"work_id":"7b7f4444-c7a8-441c-b99a-8a65bdb6b76c","year":2024},"citing_paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-24T00:59:59.607299Z"},"links":{"citing_paper":"/paper/2405.16730"},"observation_digest":"sha256:e826e108788a737599d5c7d28766f35eee3f63c978ff677f531fd301e5e7d3e8","observation_id":"18146ccd-592e-49f0-876b-02b602bf01e8","resolution":{"observed_at":"2026-05-24T01:03:41.423334Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2405.16730","last_updated":"2026-04-25T21:17:25Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:20:14.021759Z","submitted_at":"2024-05-27T00:11:53Z","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":1,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":5,"verified_fuzzy":4},"total_outbound_references":12},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2405.16730."}