Pith. sign in

Paper Citation Record · LEDGER

Fantastic Generalization Measures and Where to Find Them

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 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 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:08:40.743685Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T20:13:53.366151Z digest=sha256:09550dce23a0409a3899f8d4ba34be8a160d8caba3f7cd0d361724ae68bce5d4

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T19:28:53.301344Z digest=sha256:2875409b67d468a0fecbcc7c15893ec77a17e536ad97be8df97643807dfb38f5

Observation 229c4bbf-7c85-4e4e-92a9-90dfa5cb44db · inbound

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry cites this paper.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Fantastic Generalization Measures and Where to Find Them

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T05:08:40.743685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:08:40.743685Z digest=sha256:8defdb34e856d391ec5ce1cda0f5d1430b932a799dd9c260f553aaf3dca39957

Observation a3778d96-aa0b-47b2-b6a2-3f7e76d3a5a5 · inbound

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning cites this paper.

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning Fantastic Generalization Measures and Where to Find Them

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T23:36:53.714535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:36:53.714535Z digest=sha256:fcaed450e303a3076b32ae5179e9be0ddcf26a6ff0340a0a60a246be1b638833

Observation e643366a-9d9e-475e-bfa6-68f18b6b96f2 · inbound

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence cites this paper.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Fantastic Generalization Measures and Where to Find Them

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T19:06:34.793914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:06:34.793914Z digest=sha256:436d603653cb14bd3644d5ada24a7bbb4b373ba9fb1c4d7f8aed141ec6a54de7

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

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

Source-reported events for the cited work

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:16.144803Z digest=sha256:d1dbc21b802def91167340222c34bc39952af7852aad1a2ee5f3eb056e5eaf13

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

Resolution
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=sha256:2addffed4ded68b128ea092980e5740f3c109ca88a4b2c4a3ce1b6559e06f228

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

Resolution
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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:51:46.824517Z digest=sha256:f0d457cffc00cc099fc9a357951fd7e57de69fc832fc6021b52b72860ed0b164

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

Resolution
unresolved
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=sha256:732ba450a7de44b0813543959a8c3a4ff398d334b60accfff0ab9429b3adb211

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

Resolution
unresolved
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=sha256:4b87aeaddf12e1bfa517d184e857ce141a10805576b65001f2a31623dc181ada

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T05:33:42.965249Z digest=sha256:7d98579509a99d1d0aa5b79a4225e03403dfd871110cee2479c7975407f1c88c

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T02:37:13.715607Z digest=sha256:8194bad1e77f39cec8a9e4d8f004246950925c1f03d7b20674007db76ea6557a

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T14:53:57.003351Z digest=sha256:1716e405180de6083a5af6972ff305c470ae96e2f4d98fb4ad972d4154c43002

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T03:18:36.518485Z digest=sha256:fa841842a84cc332a516ce0301cdfb38425007ba0d2a4e0f7082fe5413622dc2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T01:09:31.633709Z digest=sha256:a1718d9945ede0443466a45c1bc03cd992c5da1481bef1f9caa2a387270af597

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T02:12:58.603012Z digest=sha256:57683a53fd364591fac08b604ea55de539a0782f40c3671ab0f4ca1d1a79ed00

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T20:24:16.373261Z digest=sha256:7cd5fa2269c25cbb9f97e9ff0ed173dbd7c3246c78e496277e7f7f561fb7bd08

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T15:06:53.377360Z digest=sha256:a2bcaf96866e7de9c0440ce7ea9847c042f0f864f877a2f103c655cb704a2404

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:c3c386c1c88723f4340718ec40019d96342b14f545f3fc66c45ed3c57a7feff5

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T14:49:52.397976Z digest=sha256:d5fd902ede55b0661b205ce68114a42730eb9007737a336a8353010b5a832006

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T07:10:13.055728Z digest=sha256:24795fc02fba4b0a821233bff9a5c29786ab9daa8ab0dd9ca55383e38beb97b6

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:737d454f002935287191d9f21f4786ef3f1bdb7dc452cd8b747fb19021024040

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:e26d733249ead48dd2dd55b46741bff0ebddd8bfb70b1beeafddda75b0c7fd72

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T08:06:36.393665Z digest=sha256:d9785842ebe4dc1075536f11c592878297bed79ef5c2cd45ec2910a9a71feba0

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T07:53:59.861734Z digest=sha256:6ce497e31abc6330e68d7bf9fffcc4d452c6c4f8f660dab6756636baf342fd4b

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

Resolution
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

Resolution
unresolved
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:d83d0fc23cdd47e4408228345d5730f70848634e2003b910e6110f50c348b3c0