Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:52:25.231249Z
Paper Citation Record · LEDGER
Feasible Learning
As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2501.14912.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T05:26:06.829382Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:16:16.372237Z
Reference resolution
42 of 42 outbound references displayed
- verified exact0
- verified fuzzy34
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0bb5a175-9264-4720-9686-114c9066f112 · outbound
This paper cites write newline.
Feasible Learning write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:52:25.069529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d2f492e-e9bc-4b59-a630-b2f7686bdf4b · outbound
This paper cites A Closer Look at Memorization in Deep Networks.
Feasible Learning A Closer Look at Memorization in Deep Networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.819359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b1d41d03-1f0d-47c7-baa4-ee73dcae2572 · outbound
This paper cites Arrow, L.
Feasible Learning Arrow, L
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.807907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1f001cfc-b1f5-4d96-a7c0-72f20074c864 · outbound
This paper cites Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications.
Feasible Learning Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.795396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3e40183b-083e-4ef7-8d3c-3f342fd2d9e7 · outbound
This paper cites Improving Image Generation with Better Captions.
Feasible Learning Improving Image Generation with Better Captions
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.782474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 673170e1-8787-4e2f-8027-3e9e9ea7ea90 · outbound
This paper cites Convergence Rates in Forward--Backward Splitting.
Feasible Learning Convergence Rates in Forward--Backward Splitting
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.769998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 92a5c594-e00f-4c29-a374-e1fc5ecef153 · outbound
This paper cites Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
Feasible Learning Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.758138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 44370744-bb6d-41ac-b0e4-6a92af5f1104 · outbound
This paper cites An Algorithm for Quadratic Programming.
Feasible Learning An Algorithm for Quadratic Programming
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.745867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 08f976fb-7258-4a55-97d0-d12ae5780544 · outbound
This paper cites Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints.
Feasible Learning Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.732520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ea10efac-b9f8-4d3a-b721-c3953db30e12 · outbound
This paper cites Cooper: A Library for Constrained Optimization in Deep Learning.
Feasible Learning Cooper: A Library for Constrained Optimization in Deep Learning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.720528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 85caed97-38f3-45aa-8690-c9ddac6e1d9f · outbound
This paper cites Convex Programming in Hilbert Space.
Feasible Learning Convex Programming in Hilbert Space
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.707799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b577bb0b-387b-4e9d-b368-5f7fa0615141 · outbound
This paper cites Shampoo: Preconditioned Stochastic Tensor Optimization.
Feasible Learning Shampoo: Preconditioned Stochastic Tensor Optimization
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.695341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8832c81a-c11d-480c-a9c2-b6cfde9c0a03 · outbound
This paper cites Deep Residual Learning for Image Recognition.
Feasible Learning Deep Residual Learning for Image Recognition
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.682591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6530e9bd-e70a-4a18-9405-2cbd4dcc3d23 · outbound
This paper cites Resilient Constrained Learning.
Feasible Learning Resilient Constrained Learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.671303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 22eda168-fa46-4597-bb13-e4cedc25d1d5 · outbound
This paper cites an unresolved cited work.
Feasible Learning Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T14:52:25.659787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 03e9ca26-9d24-49d1-970f-ae11eb594dde · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Feasible Learning Adam: A Method for Stochastic Optimization
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.647726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bccb135a-ff04-4d44-9a60-7b88b706fbac · outbound
This paper cites Learning Multiple Layers of Features from Tiny Images.
Feasible Learning Learning Multiple Layers of Features from Tiny Images
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.634463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eb67063b-df61-4af5-8571-26998d7a700b · outbound
This paper cites Lahoti, A.
Feasible Learning Lahoti, A
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.622503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 685d9354-25f1-4274-b248-b16ecb3de2f2 · outbound
This paper cites On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems.
Feasible Learning On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.609083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a64411a0-4ee1-4672-b31a-c310f0731b2c · outbound
This paper cites The Llama 3 Herd of Models.
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:52:25.145045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fccf5c56-98cd-44fa-8a0b-d3b2abecaff8 · outbound
This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.
Feasible Learning Towards Deep Learning Models Resistant to Adversarial Attacks
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:52:25.149418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e73f64b7-59b2-4732-acde-b394a139ca6c · outbound
This paper cites GPT-4 Technical Report.
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:52:25.153738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06506caa-0ce3-4ca4-bf0b-411097ba92d5 · outbound
This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.
Feasible Learning PyTorch: An Imperative Style, High-Performance Deep Learning Library
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.596798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1957e6d0-ec08-437e-97b4-00aa818001ae · outbound
This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
Feasible Learning Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.584189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca9e4a56-b062-4032-abef-e891e56a4915 · outbound
This paper cites Zhang, Simon Lacoste-Julien, and Jose Gallego-Posada.
Feasible Learning Zhang, Simon Lacoste-Julien, and Jose Gallego-Posada
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.571369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2a52d6cd-62a6-4035-abdc-c5cf5ed9868a · outbound
This paper cites The Implicit Bias of Gradient Descent on Separable Data.
Feasible Learning The Implicit Bias of Gradient Descent on Separable Data
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.559319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5d8ec05b-f47a-4b63-afd6-3964ddf93b18 · outbound
This paper cites Responsive Safety in Reinforcement Learning by PID Lagrangian Methods.
Feasible Learning Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.545501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation be22d074-2b94-4ff5-a2d2-9c830ec1421b · outbound
This paper cites Neyman-pearson classification: parametrics and sample size requirement.
Feasible Learning Neyman-pearson classification: parametrics and sample size requirement
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.532509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 51002b7e-56b1-4ed2-879a-34d3170f0f5d · outbound
This paper cites an unresolved cited work.
Feasible Learning Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T14:52:25.519045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 52ef3454-8e2b-4561-af77-482c3d7abafa · outbound
This paper cites Statistical Learning Theory.
Feasible Learning Statistical Learning Theory
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.506002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a6f0af27-3f06-4f90-87b0-7f6cc1e5cf33 · outbound
This paper cites Understanding Deep Learning Requires Rethinking Generalization.
Feasible Learning Understanding Deep Learning Requires Rethinking Generalization
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.493012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3a8b8b3d-378b-4607-90a3-93f2d3af54e7 · outbound
This paper cites Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization.
Feasible Learning Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.480265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 474cdea0-c4b6-49c2-b40b-9fe847c2a01d · outbound
This paper cites Age Progression/Regression by Conditional Adversarial Autoencoder.
Feasible Learning Age Progression/Regression by Conditional Adversarial Autoencoder
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.467218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 66e3ed3e-b62f-4b60-9c37-c257ff56e54e · outbound
This paper cites Convex Optimization.
Feasible Learning Convex Optimization
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.454498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8f5cf443-3316-4792-8623-ad147a7544c2 · outbound
This paper cites Rank Analysis of Incomplete Block Designs: I.
Feasible Learning Rank Analysis of Incomplete Block Designs: I
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.440847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 89dbf550-9f2f-474b-b184-2c1f55c3e26e · outbound
This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.
Feasible Learning QLoRA: Efficient Finetuning of Quantized LLMs
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.425517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 487437dd-9a9b-4682-97bc-5965cb670790 · outbound
This paper cites Convex Analysis and Minimization Algorithms I: Fundamentals.
Feasible Learning Convex Analysis and Minimization Algorithms I: Fundamentals
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.413199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c6f70048-b6e3-4780-af18-69eff99783fb · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Feasible Learning LoRA: Low-Rank Adaptation of Large Language Models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.400189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6dee78e8-a0b5-4c36-896f-414c4c98856e · outbound
This paper cites A Survey of Reinforcement Learning from Human Feedback.
Feasible Learning A Survey of Reinforcement Learning from Human Feedback
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:52:25.219653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f785f28-bddf-4c16-a8e7-6a3be28d079b · outbound
This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.
Feasible Learning Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:52:25.223325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14ed168f-d457-43e1-ae63-cadf25a818aa · outbound
This paper cites Operator Splitting for a Homogeneous Embedding of the Linear Complementarity Problem.
Feasible Learning Operator Splitting for a Homogeneous Embedding of the Linear Complementarity Problem
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.387465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a53380fb-8838-4f06-8420-344796839c6e · outbound
This paper cites Training language models to follow instructions with human feedback.
Feasible Learning Training language models to follow instructions with human feedback
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:52:25.373640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation 297d1a78-f8d3-45ec-9889-a899cc918659 · inbound
Everywhere Learning: Artificial Intelligence with Pointwise Constraints cites this paper.
Everywhere Learning: Artificial Intelligence with Pointwise Constraints Feasible Learning
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:16:16.374382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d136d787-d87b-45b3-8129-88f75475e84a · inbound
Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints cites this paper.
Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints Feasible Learning
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T05:26:06.829382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.