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Paper Citation Record · LEDGER

Fantastic Generalization Measures and Where to Find Them

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:1912.02178.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1912.02178 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:51.299457Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T11:19:48.948516Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 11998d94-c2cc-431c-95d2-4aed8c9b68bf · inbound

Sharpness-Aware Minimization for Efficiently Improving Generalization cites this paper.

Sharpness-Aware Minimization for Efficiently Improving Generalization Fantastic Generalization Measures and Where to Find Them

Reference 26

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metadata mismatch
arxiv_id, observed 2026-05-16T20:13:53.474982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:13:53.366151Z digest=sha256:da46ec2697eb4e3e34cabd8386eacdee73eed90be0c3ded51ad6cfc48826f461

Observation 3dd4b238-e872-4456-8f46-23f5f9a06770 · inbound

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets cites this paper.

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets Fantastic Generalization Measures and Where to Find Them

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-11T19:28:53.460415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T19:28:53.301344Z digest=sha256:c10535f68b7cdd2bcece61536c7caef6a6cc88b4dcbf66d8e6b7f55ac4973d57

Observation f245b3b7-f654-4363-ab3e-915811455403 · inbound

One task to rule them all: A closer look at traffic classification generalizability cites this paper.

One task to rule them all: A closer look at traffic classification generalizability Fantastic Generalization Measures and Where to Find Them

Reference 31

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no resolver link, observed 2026-08-06T19:08:51.299457Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:51.299457Z digest=sha256:359f971cb056e104d71607e4cc929167e06a0ca746635ae58ec0fe08ff5d62df

Observation 45ed7778-fedb-45a1-9e6f-f15c81dd3504 · inbound

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving cites this paper.

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving Fantastic Generalization Measures and Where to Find Them

Reference 39

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no resolver link, observed 2026-08-06T15:32:16.144803Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:16.144803Z digest=sha256:4d4b7cbd72be5e3194fb3bb90e051cfe926872e5c97584d9c1de8ffd6f3c00b2

Observation d0ea386a-4a3c-4969-97d9-c9ea1bd56077 · inbound

VASSO: Variance Suppression for Sharpness-Aware Minimization cites this paper.

VASSO: Variance Suppression for Sharpness-Aware Minimization Fantastic Generalization Measures and Where to Find Them

Reference 9

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unresolved
no resolver link, observed 2026-08-05T11:42:45.596553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:42:45.596553Z digest=sha256:4180cf3873d25dff7ada19341fe33b6702f46bae510d28822e6d1f5fc7c08912

Observation 352fd9d4-b7de-4a55-82d3-855098ac7f82 · inbound

How Far Are We from True Unlearnability? cites this paper.

How Far Are We from True Unlearnability? Fantastic Generalization Measures and Where to Find Them

Reference 7

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unresolved
no resolver link, observed 2026-08-04T21:26:54.798785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:26:54.798785Z digest=sha256:c21c8784dfc84935d18699ddca726beeafcfc15aad70920b6559399e7b6eec30

Observation 2acb9a35-bf1f-4494-80f0-d032b507f007 · inbound

An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning cites this paper.

An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning Fantastic Generalization Measures and Where to Find Them

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-18T03:52:22.074069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:51:46.824517Z digest=sha256:350302fe2f957258072d82edf24826a0cc8fda04f1cbf2e11cab5a999af604d5

Observation 94ee8be6-d2e5-4b3f-98fa-9570cb6475b2 · inbound

Automatic Stability and Recovery for Neural Network Training cites this paper.

Automatic Stability and Recovery for Neural Network Training Fantastic Generalization Measures and Where to Find Them

Reference 2018

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no resolver link, observed 2026-08-03T08:19:52.333199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:19:52.333199Z digest=sha256:fbc624b65f8d7e13a2a4ae468fcffd4080bd1af736ce393be9030e4adf077a9a

Observation afa59acb-1b5f-406f-a3ae-f777eb61675a · inbound

Decentralized SGD with Controlled Disagreement Finds Flatter Minima cites this paper.

Decentralized SGD with Controlled Disagreement Finds Flatter Minima Fantastic Generalization Measures and Where to Find Them

Reference 18

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no resolver link, observed 2026-08-03T05:17:28.359727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:17:28.359727Z digest=sha256:8ac14f8d0ddc1cb962c660689e5ba2626f0efe85844ac9e9a8addf67903a9802

Observation af016d18-9411-470d-9135-74f150fcd6f8 · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting Fantastic Generalization Measures and Where to Find Them

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-16T05:37:24.235960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T05:33:42.965249Z digest=sha256:645670f82679d495c3ba48176a7946456259287c8550c8ab421cab523b7bb4b5

Observation df488607-ed6f-444f-b791-392d420525b1 · inbound

Generalization at the Edge of Stability cites this paper.

Generalization at the Edge of Stability Fantastic Generalization Measures and Where to Find Them

Reference 38

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verified exact
arxiv_id, observed 2026-05-10T02:38:17.403590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T02:37:13.715607Z digest=sha256:0b6243990016782207291819841f20e040c6dd2f38a3f1c15eb820e00865ad41

Observation d148858e-ac61-4bee-acd5-5589ef74e1e4 · inbound

MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization cites this paper.

MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization Fantastic Generalization Measures and Where to Find Them

Reference 17

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verified exact
arxiv_id, observed 2026-05-11T11:26:04.537538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T14:53:57.003351Z digest=sha256:0d8b0035da03f6b2c41110348c0550ad499252717b9a291e1691d5dc475a78b9

Observation ebba7117-c02a-46c9-a696-9eeec8d8ebff · inbound

Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning cites this paper.

Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning Fantastic Generalization Measures and Where to Find Them

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:20:55.400516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T03:18:36.518485Z digest=sha256:8ff8db3c7329af3e01676223b020929f9a4ee141b71506a710f08634b46f6a5a

Observation 097e5dfe-22a9-4ec7-95fc-741c6a6f8f2f · inbound

Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning cites this paper.

Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning Fantastic Generalization Measures and Where to Find Them

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T14:40:05.855458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:40:05.855458Z digest=sha256:5dca38bb7d579c22c52b6da0aff0ca0a63bfdae3fb441d33fb23931125b65448

Observation dfe9dd88-ff33-4a94-9663-b9fa2f439007 · inbound

TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection cites this paper.

TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection Fantastic Generalization Measures and Where to Find Them

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:24.528032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T01:09:31.633709Z digest=sha256:cb33044b17d413e2710a607631fc4dc97a56790550e07591cf1b426525f4f585

Observation 23e34494-d3e8-4b9c-b543-32a5ff3d5b13 · inbound

Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients cites this paper.

Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients Fantastic Generalization Measures and Where to Find Them

Reference 76

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verified exact
arxiv_id, observed 2026-05-15T02:13:30.191357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T02:12:58.603012Z digest=sha256:66c9a8b0528e9f320a727d6874b4df47d5ba18a038f18f1b18383c1fed8ab50d

Observation 7f3f568e-ec1e-442a-83e5-3e8b28ecd4ee · inbound

Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis cites this paper.

Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis Fantastic Generalization Measures and Where to Find Them

Reference 46

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verified exact
arxiv_id, observed 2026-05-20T20:29:00.006559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T20:24:16.373261Z digest=sha256:cf17cddaa00b54df338bcd8fc021a5cb4aa02d129370bad394a61bf6104f118b

Observation 422dd8f8-4b16-431a-b698-f5dff3eebdb0 · inbound

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning cites this paper.

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning Fantastic Generalization Measures and Where to Find Them

Reference 108

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verified exact
arxiv_id, observed 2026-05-20T15:08:24.796977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T15:06:53.377360Z digest=sha256:e1582d4587c054a2ea99d496ebb1b6aed49e23c6c67dc5a3ba2a120a215dda2d

Observation e8da72fa-07de-42a2-8fad-fe634675d51b · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks Fantastic Generalization Measures and Where to Find Them

Reference 102

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verified exact
arxiv_id, observed 2026-05-20T12:38:16.934712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:a973f0923ce3caab737e6e615bed09dd785006b511def9d8b776e14b9cb5d037

Observation 56df1e47-3eb7-4d88-b8fe-8542a4f38a24 · inbound

Trajectory-Based Difficulty Scoring for Reliable Learning on Tabular Data cites this paper.

Trajectory-Based Difficulty Scoring for Reliable Learning on Tabular Data Fantastic Generalization Measures and Where to Find Them

Reference 5

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metadata mismatch
arxiv_id, observed 2026-06-30T14:54:45.525577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T14:49:52.397976Z digest=sha256:7cec28e80746d6fdfe59009ae576e565c5164154819755b586ba6969938524bb

Observation fb86c984-1cb0-41d4-8f3d-275836d66b21 · inbound

Quantifying and Optimizing Simplicity via Polynomial Representations cites this paper.

Quantifying and Optimizing Simplicity via Polynomial Representations Fantastic Generalization Measures and Where to Find Them

Reference 7

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metadata mismatch
arxiv_id, observed 2026-06-29T07:13:16.325818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:10:13.055728Z digest=sha256:f96f5ca9675d8207dcc8969c46bea9d48060676f1992291dd954e0446017a925

Observation e1f19f9b-26f5-4e7c-8f38-750eb37e9b06 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Fantastic Generalization Measures and Where to Find Them

Reference 65

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verified exact
arxiv_id, observed 2026-07-04T09:59:44.902821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:d51017bf923e6e9326119668d6e504f5d40ceb93c37755886cc308bb3c59657f

Observation 69c2644f-4f3a-4062-82aa-d9219eb787f8 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Fantastic Generalization Measures and Where to Find Them

Reference 65

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verified exact
arxiv_id, observed 2026-07-01T18:55:59.631796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:d7ce7e0a218c4dc32313b87c097b5accff36637a9269c59d3a92d84b20181f6f

Observation 80e45071-4096-44dc-99d6-1027caf35cf3 · inbound

Flatness Preserves Instruction Following in Vision-Language-Action Models cites this paper.

Flatness Preserves Instruction Following in Vision-Language-Action Models Fantastic Generalization Measures and Where to Find Them

Reference 29

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verified exact
arxiv_id, observed 2026-07-04T11:19:48.951638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T08:06:36.393665Z digest=sha256:a1efe6dfe89fdb8671d21dc9e178450289ef03fa9f5e7ec7b10a671895aff4f0

Observation 8b39bf7b-906f-401c-b829-00ed424f949e · inbound

Characterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization cites this paper.

Characterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization Fantastic Generalization Measures and Where to Find Them

Reference 22

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metadata mismatch
arxiv_id, observed 2026-06-30T07:54:21.738358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T07:53:59.861734Z digest=sha256:e9981b47871e85377d491c8bb44debde50973f27149c45e92540e228f2a2b1ea

Observation 69f449ae-a6e7-493f-b30a-cdef1861b5a5 · inbound

Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization cites this paper.

Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Fantastic Generalization Measures and Where to Find Them

Reference 2

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unresolved
no resolver link, observed 2026-08-01T22:36:55.619690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:36:55.619690Z digest=sha256:b27d0d838fc5deb9aae82d6f73ebd0e930460818c27560e1eed384724bb29b3d

Observation de404790-1ab5-47b1-b6b1-32fc668282c1 · inbound

On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds cites this paper.

On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Fantastic Generalization Measures and Where to Find Them

Reference 87

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no resolver link, observed 2026-08-05T23:50:50.353702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:50:50.353702Z digest=sha256:5b06e210c97e64e6c835b27b7e4db462e13ec0b03a616c02eec128158b29df2f