Paper Citation Record · LEDGER

Gradients are Not All You Need

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2111.05803.

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

pith.paper-citation-record.v1
2111.05803 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:14:42.103084Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:10:08.808642Z

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 91466f35-c3df-42c4-8297-71bae3257c60 · inbound

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials cites this paper.

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials Gradients are Not All You Need

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-09T04:14:42.103084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775e635b-e5c4-4758-81e3-82730cddb083 · inbound

Joint parameter and state estimation for regularized time-discrete multibody dynamics cites this paper.

Joint parameter and state estimation for regularized time-discrete multibody dynamics Gradients are Not All You Need

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T15:01:51.853712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06509317-10c5-4efd-bc45-c1859502b2c1 · inbound

Accelerated Learning with Linear Temporal Logic using Differentiable Simulation cites this paper.

Accelerated Learning with Linear Temporal Logic using Differentiable Simulation Gradients are Not All You Need

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.112840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0610a14e-4f3a-47f2-9159-606f1641d390 · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? Gradients are Not All You Need

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:49.755270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e7b0e1-f90f-467e-9124-2eb1428c5f1b · inbound

First Order Model-Based RL through Decoupled Backpropagation cites this paper.

First Order Model-Based RL through Decoupled Backpropagation Gradients are Not All You Need

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T13:55:22.186464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42b6821-0fb2-41e6-b08f-051f0cf75fe3 · inbound

RoboSSM: Scalable In-context Imitation Learning via State-Space Models cites this paper.

RoboSSM: Scalable In-context Imitation Learning via State-Space Models Gradients are Not All You Need

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T15:34:52.314730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb26206a-7343-4794-9673-8b4fe9c2592a · inbound

Fatigue-Aware Learning to Defer via Constrained Optimisation cites this paper.

Fatigue-Aware Learning to Defer via Constrained Optimisation Gradients are Not All You Need

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:43:23.334588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0969666b-8e22-4f20-981f-33ccf0404d3b · inbound

Vision-Based End-to-End Learning for UAV Traversal of Irregular Gaps via Differentiable Simulation cites this paper.

Vision-Based End-to-End Learning for UAV Traversal of Irregular Gaps via Differentiable Simulation Gradients are Not All You Need

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:23:13.591829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cfa41a04-38d8-4bf7-b929-599450385edc · inbound

Differentiable hybrid force fields support scalable autonomous electrolyte discovery cites this paper.

Differentiable hybrid force fields support scalable autonomous electrolyte discovery Gradients are Not All You Need

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:51:37.548051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02ed5da2-4a38-4102-bd05-b98b72b2df98 · inbound

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient cites this paper.

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient Gradients are Not All You Need

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.639435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb58e319-ede6-437d-b221-13bffd75fd04 · inbound

MAOAM: Unified Object and Material Selection with Vision-Language Models cites this paper.

MAOAM: Unified Object and Material Selection with Vision-Language Models Gradients are Not All You Need

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:16:26.380861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1bd1a990-9e08-4677-a9f1-5dee21b6ebe8 · inbound

Efficient Domain-Adaptive Policy Learning via Kernel Representation with Application to Quadrotor Control under Non-Stationary Disturbances cites this paper.

Efficient Domain-Adaptive Policy Learning via Kernel Representation with Application to Quadrotor Control under Non-Stationary Disturbances Gradients are Not All You Need

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T11:42:11.689859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db80dc10-b572-4ac9-ad3a-44f0660dcbeb · inbound

SurGE: Surrogate Gradient-guided Evolution for Co-design of Legged Robots with Parallel Elasticity cites this paper.

SurGE: Surrogate Gradient-guided Evolution for Co-design of Legged Robots with Parallel Elasticity Gradients are Not All You Need

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:39.917784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7f259d4-5f7e-4acf-bdf7-ef0a34f0e386 · inbound

Bridging Spherical Black-Box Optimizers cites this paper.

Bridging Spherical Black-Box Optimizers Gradients are Not All You Need

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:10:08.810055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23682b6d-7faf-43ff-b6ba-bee27bc2ec15 · inbound

ELMP: Efficient Learning for Motion Planning via Analytical Policy Gradients cites this paper.

ELMP: Efficient Learning for Motion Planning via Analytical Policy Gradients Gradients are Not All You Need

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:37:16.333395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 923ed04d-d8ab-4005-a2fb-bff299cac88b · inbound

Open-DiffLoco: Open-Source Differentiable Learning for Deployable Blind Quadruped Locomotion cites this paper.

Open-DiffLoco: Open-Source Differentiable Learning for Deployable Blind Quadruped Locomotion Gradients are Not All You Need

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T15:52:55.728405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.