Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T00:59:59.607299Z
Paper Citation Record · LEDGER
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T04:29:33.858344Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-11T11:56:11.856352Z
Reference resolution
12 of 12 outbound references displayed
- verified exact5
- verified fuzzy4
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 78062951-7dd2-42cc-9703-9bab483af222 · outbound
This paper cites Neural Photo Editing with Introspective Adversarial Networks.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Neural Photo Editing with Introspective Adversarial Networks
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T01:03:41.439549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1baf2afe-0963-44e5-9ec4-c611d330aa60 · outbound
This paper cites A simple framework for contrastive learning of visual representations.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood A simple framework for contrastive learning of visual representations
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T01:03:43.035049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 259cc682-4d21-4f09-a003-5c159f525957 · outbound
This paper cites Implicit Generation and Generalization in Energy-Based Models.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Implicit Generation and Generalization in Energy-Based Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T01:03:41.412000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bcdf3c77-9ae5-48b3-8e75-565b195743c4 · outbound
This paper cites Automatic chemical design using a data-driven continuous representation of molecules.ACS central science, 4(2):268–276.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Automatic chemical design using a data-driven continuous representation of molecules.ACS central science, 4(2):268–276
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T01:03:43.038951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e0931b2e-16dc-4905-88f4-19bbe39d7ac7 · outbound
This paper cites The GAN is dead; long live the GAN! A Modern GAN Baseline.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood The GAN is dead; long live the GAN! A Modern GAN Baseline
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T01:03:41.418198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 07292281-efec-476c-81ca-ed3dc3c70404 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Adam: A Method for Stochastic Optimization
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T01:03:41.406411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1dcac268-af1b-451a-9e7b-422f81912d24 · outbound
This paper cites Chip Placement with Deep Reinforcement Learning.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Chip Placement with Deep Reinforcement Learning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T01:03:41.428682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6638524c-993c-43a7-9e61-edb15b431b11 · outbound
This paper cites Learning Latent Space Energy-Based Prior Model for Molecule Generation.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Learning Latent Space Energy-Based Prior Model for Molecule Generation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T01:03:41.433931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78485793-e960-45bd-8614-bedda72f8de7 · outbound
This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T01:03:41.401142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 226f98af-c2e8-42c5-b998-554319cafd0b · outbound
This paper cites (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.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood (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
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T01:03:43.027626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af027f69-8988-4011-986c-05f0df1573a0 · outbound
This paper cites (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.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood (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
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T01:03:43.031552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18146ccd-592e-49f0-876b-02b602bf01e8 · outbound
This paper cites BOOTGEN (Kim et al., 2024) focuses specifcially on optimizing biological sequences.
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood BOOTGEN (Kim et al., 2024) focuses specifcially on optimizing biological sequences
Reference 12
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-24T01:03:41.423334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation b2c3b317-b1a9-4272-8968-bf7800231243 · inbound
Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.
Gradient-Based Program Synthesis with Neurally Interpreted Languages "Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T11:56:11.876019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.