Paper Citation Record · LEDGER

Simplifying Deep Temporal Difference Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2407.04811.

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

pith.paper-citation-record.v1
2407.04811 v6

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 2026-08-19T06:32:44.657259+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:06:12.218071Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1cbf3a39-31ac-4f64-b5ea-4588a997c971 · inbound

Plasticity Loss in Deep Reinforcement Learning: A Survey cites this paper.

Plasticity Loss in Deep Reinforcement Learning: A Survey Simplifying Deep Temporal Difference Learning

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T18:03:18.157374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62afaa51-dc9b-4aa3-a093-68423ef2eef3 · inbound

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation cites this paper.

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Simplifying Deep Temporal Difference Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:25:18.111207Z

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Observation ca7628d2-bd2c-4038-abc2-85d805080b24 · inbound

Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles cites this paper.

Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles Simplifying Deep Temporal Difference Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:12.218071Z

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Observation f23f055e-cb93-49fb-bd93-46373db78d0a · inbound

Hadamax Encoding: Elevating Performance in Model-Free Atari cites this paper.

Hadamax Encoding: Elevating Performance in Model-Free Atari Simplifying Deep Temporal Difference Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:16.184323Z

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Observation f9805582-53ad-478a-984d-dfa78092c0f0 · inbound

Universal Value-Function Uncertainties cites this paper.

Universal Value-Function Uncertainties Simplifying Deep Temporal Difference Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:55.363030Z

Source-reported events for the cited work

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Observation 3349cc25-8617-4799-b1a8-445fb5b43491 · inbound

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control cites this paper.

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control Simplifying Deep Temporal Difference Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:33.176135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e31804-8085-4696-9cd2-b998016c275e · inbound

The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks cites this paper.

The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks Simplifying Deep Temporal Difference Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:52.373117Z

Source-reported events for the cited work

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Observation 625ffa4f-d64e-42a5-9af4-316d21545853 · inbound

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models cites this paper.

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models Simplifying Deep Temporal Difference Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:03:32.888434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab8b6e32-c3dd-4343-aa03-25fb4bda2d62 · inbound

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks cites this paper.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Simplifying Deep Temporal Difference Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:23.236918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a5445b3-83e8-45f8-bdab-b98429e1a043 · inbound

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies cites this paper.

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies Simplifying Deep Temporal Difference Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T04:39:02.239780Z

Source-reported events for the cited work

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Observation 4c61f33e-1cc3-470c-b869-fd968e9c35dc · inbound

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning cites this paper.

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning Simplifying Deep Temporal Difference Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:23:57.233093Z

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Unavailable: canonical work link unavailable.

Observation 1877c9b2-7022-41d7-9ccd-9958b2bb4981 · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Simplifying Deep Temporal Difference Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.774894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18f36599-0f5f-4134-bf72-988583957402 · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Simplifying Deep Temporal Difference Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T05:37:38.429736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 700bd6c9-d87a-4d83-b166-9073f9a2d975 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Simplifying Deep Temporal Difference Learning

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:15:49.847929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66d0fc71-81f6-4aee-b9ff-a19f156460cf · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Simplifying Deep Temporal Difference Learning

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:12:41.290942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99db9eed-557d-4a49-9d21-11518d8db892 · inbound

A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations cites this paper.

A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations Simplifying Deep Temporal Difference Learning

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:36:26.179257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a98f02b8-939f-483e-a53d-b0622f339fc3 · inbound

Scalable Reinforcement Learning via Adaptive Batch Scaling cites this paper.

Scalable Reinforcement Learning via Adaptive Batch Scaling Simplifying Deep Temporal Difference Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:24:27.808540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fb16431-0e58-43f7-b718-674279663c0f · inbound

Scalable Reinforcement Learning via Adaptive Batch Scaling cites this paper.

Scalable Reinforcement Learning via Adaptive Batch Scaling Simplifying Deep Temporal Difference Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:24:57.638679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7d2bc9c-9f63-4cf8-a1f9-e1d79c416930 · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once Simplifying Deep Temporal Difference Learning

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T05:00:21.532243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 610deba9-2a2d-4ea0-baf2-60ece410dbf5 · inbound

Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion cites this paper.

Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion Simplifying Deep Temporal Difference Learning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T16:05:49.709954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55d89c66-9695-4d48-b86b-6f1e692f7511 · inbound

Task diversity produces systematic transfer but inhibits continual reinforcement learning cites this paper.

Task diversity produces systematic transfer but inhibits continual reinforcement learning Simplifying Deep Temporal Difference Learning

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:02:34.240548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fbaf87d-acd4-4039-b25b-b2f5d992d2c6 · inbound

Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning cites this paper.

Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning Simplifying Deep Temporal Difference Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T07:41:45.477737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03362496-b669-41a4-b8d4-ec3f5ad205a7 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Simplifying Deep Temporal Difference Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.706984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3aef960c-934a-4938-8528-e304a4dd1541 · inbound

Memory Merge DQN: Sensitivity Weighted Target Updates for Stable Value Learning cites this paper.

Memory Merge DQN: Sensitivity Weighted Target Updates for Stable Value Learning Simplifying Deep Temporal Difference Learning

Reference 15

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Observation 77292a3b-3132-4cd7-9d29-a948cd53174e · inbound

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks cites this paper.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Simplifying Deep Temporal Difference Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T10:11:39.377230Z

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Observation 8229144f-b47a-414d-96d1-c6e1f821f108 · inbound

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks cites this paper.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Simplifying Deep Temporal Difference Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:45:49.213057Z

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Observation 3ee3e547-68dc-4b97-96fb-391fe6fc8959 · inbound

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Simplifying Deep Temporal Difference Learning

Reference 171

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:45.608194Z

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