Pith. sign in

Paper Citation Record · LEDGER

TorchRL: A data-driven decision-making library for PyTorch

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2306.00577.

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

pith.paper-citation-record.v1
2306.00577 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:17:17.883568Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T10:26:11.058701Z

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 0033e7dc-e810-40f5-9235-59f8194f18d2 · inbound

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification cites this paper.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification TorchRL: A data-driven decision-making library for PyTorch

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-09T13:17:17.883568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:17:17.883568Z digest=sha256:67b69d24289e0249579d948cc2d2aec39e370dd5870782c47b2256d629836786

Observation dd8ce1c0-1577-42d3-aa29-d1694ab4da81 · inbound

Adaptive Destruction Processes for Diffusion Samplers cites this paper.

Adaptive Destruction Processes for Diffusion Samplers TorchRL: A data-driven decision-making library for PyTorch

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:47:00.358560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:47:00.358560Z digest=sha256:1199584664194dbfebddf91d7cfc535a40b805f60fb85a475eb2be02932ffcfb

Observation c97fb153-3de3-4c4d-90b6-c73dafa6239b · inbound

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control cites this paper.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control TorchRL: A data-driven decision-making library for PyTorch

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:27.361844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:27.361844Z digest=sha256:23a8ce7d2b9b09d6f67c2aad696b04331afc4b6e06bf1db9d9574797d66a48b0

Observation 39cfc245-b787-46fa-a6c2-5420fe5d9f36 · inbound

ObjectRL: An Object-Oriented Reinforcement Learning Codebase cites this paper.

ObjectRL: An Object-Oriented Reinforcement Learning Codebase TorchRL: A data-driven decision-making library for PyTorch

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T20:12:39.323473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:12:39.323473Z digest=sha256:47ec37fbedf771142989c72fae9bdafa4ae361fd2f0627fc4faf542e8867bc84

Observation 58a90fc0-33ce-4924-afe1-578f42a34f0e · inbound

CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms cites this paper.

CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms TorchRL: A data-driven decision-making library for PyTorch

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T18:41:01.995580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:41:01.995580Z digest=sha256:b2159e96dc8da39eea03578a3745b1104f0a7a9979bd01114deafd18206b3416

Observation c3e0348b-b300-4653-b8be-43de4843abe8 · inbound

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts cites this paper.

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts TorchRL: A data-driven decision-making library for PyTorch

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T10:22:42.593937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:22:42.593937Z digest=sha256:1149f9e01a7df180238068641c1d6e836b19fda4772dc16b6722db2b57116c50

Observation b2e28cd5-0d9f-4bf5-8f0c-0b152faa8ab8 · inbound

Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control cites this paper.

Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control TorchRL: A data-driven decision-making library for PyTorch

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T09:03:31.265383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:03:31.265383Z digest=sha256:1509832da590f49e7b40d21ebee1ceff628d01b5896e8d32a772d967367d6388

Observation d07b044f-25ac-4f1c-88f2-8959263c01fc · inbound

Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions cites this paper.

Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions TorchRL: A data-driven decision-making library for PyTorch

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T06:53:12.919775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:53:12.919775Z digest=sha256:6234ed93a27b883cc96191700dcec55b445d59ba0ae188be249d9e563f747c28

Observation 3f2d3f68-57e7-49f1-b928-db5ece4f542f · inbound

Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs cites this paper.

Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs TorchRL: A data-driven decision-making library for PyTorch

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:18.707502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T06:31:39.576361Z digest=sha256:8f3f329ad8579442803ac91735ed320b9ba5e0450445f48765e7d6b4e14319b0

Observation 6915af60-ed01-478f-b95f-e647a206306e · inbound

Your GFlowNet Secretly Learns an Optimal Transport Plan cites this paper.

Your GFlowNet Secretly Learns an Optimal Transport Plan TorchRL: A data-driven decision-making library for PyTorch

Reference 120

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:06:55.505251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T02:35:08.323804Z digest=sha256:16ecebb60f461cbbfba8666c71d28a9edd9037049e8555fe03629652fb474e30

Observation 557689a7-b12c-4fa3-9c1b-80ffc98db96e · inbound

IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking cites this paper.

IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking TorchRL: A data-driven decision-making library for PyTorch

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:17:29.647722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T18:19:42.087133Z digest=sha256:bd8c7992953f1db41f92dacb3580e32261c1d1903eece80e5ad96886b435684a

Observation f933a2c6-5f7c-44b3-857d-f5dcf9073e9b · inbound

Social-spatial dependencies for learning visual navigation cites this paper.

Social-spatial dependencies for learning visual navigation TorchRL: A data-driven decision-making library for PyTorch

Reference 131

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T10:26:11.059856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-09T10:23:00.725686Z digest=sha256:155e545375ab317ba8c7605a535208f75e549b820b72c32b35b3987303078177