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Paper Citation Record · LEDGER

Maximum Entropy RL (Provably) Solves Some Robust RL Problems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2103.06257.

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

pith.paper-citation-record.v1
2103.06257 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:21:34.220265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:46:14.370062Z

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 4a14fb0d-c3b4-4b8a-b61e-430707e62963 · inbound

Reinforcement Learning on Reconfigurable Hardware: Overcoming Material Variability in Laser Material Processing cites this paper.

Reinforcement Learning on Reconfigurable Hardware: Overcoming Material Variability in Laser Material Processing Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T21:21:34.220265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:21:34.220265Z digest=sha256:25e87226cebc76f19eacce6d97fa083fa6392a388f9b3f65814c81fe6ff33653

Observation 0b14e092-f610-4b31-9de8-b4197e794a4a · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:58:33.623204Z

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=2026-05-18T15:58:33.219451Z digest=sha256:3ccdf27e3c9813c9b7fa5347a1749d3ea8aac9360998ef6679e603d16b2d6b79

Observation 016885b5-6336-4a61-83bc-6130eab112a1 · inbound

Distributionally Robust Deep Q-Learning cites this paper.

Distributionally Robust Deep Q-Learning Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:48.211513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:48.211513Z digest=sha256:8644e0a542f3658094d0454285803373f434fcefdeda3801df2b0135035515df

Observation 11438e06-5740-4e59-8130-5d739374ddb3 · inbound

When Maximum Entropy Misleads Policy Optimization cites this paper.

When Maximum Entropy Misleads Policy Optimization Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:22:17.058715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:22:17.058715Z digest=sha256:22a7ac6bd4f67bc4c3c1d71bfff7e7ebf08f5c847bbf6f69f25d884686bf6464

Observation d459e129-a441-41ff-abb6-43e3d7f28960 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:02:25.331332Z

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=2026-05-18T00:02:24.352947Z digest=sha256:0e15bd9bf3df9e72b641a6a4a3320b0a543739f021481a5dd7202c0fbd0d6ddd

Observation 59c021e6-e479-44db-b6e2-9e0602249ccd · inbound

Failure Modes of Maximum Entropy RLHF cites this paper.

Failure Modes of Maximum Entropy RLHF Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:02:39.730332Z

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=2026-05-18T14:02:11.084514Z digest=sha256:5ae95094156f0a5176e75e3cfd4d74b65a3c9d7496f03bd0e00538f03d16ec32

Observation 4a3fec9a-378b-4b3f-a59a-966e6d35fca0 · inbound

RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations cites this paper.

RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-04T14:58:36.682378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:58:36.682378Z digest=sha256:717c0d2c417ea9c8bf48530808d7f4e0665266ea320b2adeac3a1d167c37c026

Observation e2735e6a-ddad-4c94-a5ac-f5f002fc71dd · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:37:24.301959Z

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=2026-05-16T05:33:42.965249Z digest=sha256:0b65010c2ebeefd542d8133258b7de841103aabd55e1cd765db267f4ff8fe81d

Observation f0f9b06c-633e-4a81-afa9-c670311ac458 · inbound

Robust Adversarial Policy Optimization Under Dynamics Uncertainty cites this paper.

Robust Adversarial Policy Optimization Under Dynamics Uncertainty Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:03.569035Z

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=2026-05-10T16:00:33.267264Z digest=sha256:2bafe09abede6f55072aa6d8a5f93ab8aeda7c7cc9e395a4ed2b46658bf49351

Observation 7c2f6ba4-1c4b-44cc-a561-99e174eaaa0f · inbound

Reinforcement Learning via Value Gradient Flow cites this paper.

Reinforcement Learning via Value Gradient Flow Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:20:25.673260Z

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=2026-05-10T13:18:16.532434Z digest=sha256:04bc29f95ad0656a7ebe4c52cc13b8527bbaa643c971662e28ec8a30824f2ea4

Observation 31e20043-8c2b-4860-bfec-54c83132d110 · inbound

Compute Aligned Training: Optimizing for Test Time Inference cites this paper.

Compute Aligned Training: Optimizing for Test Time Inference Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:11.758180Z

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=2026-05-08T04:12:53.868648Z digest=sha256:d8f7e1178b10d440f684ea5bf23405e82a8a256201b1f4eb8f054df8f435094b

Observation d65b10d3-0de8-4757-bb36-2d9b6dc885ce · inbound

Compute Aligned Training: Optimizing for Test Time Inference cites this paper.

Compute Aligned Training: Optimizing for Test Time Inference Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:44:04.636436Z

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=2026-05-21T08:41:49.623026Z digest=sha256:abf5752ff7f0c719b60ebb8dc58a4825e27eec50f06a571d8f665fbed55088a9

Observation 76d63982-a189-45d3-a6d0-3cccde97d05e · inbound

Mutual Information Optimal Density Control of Linear Systems and Generalized Schr\"{o}dinger Bridges with Reference Refinement cites this paper.

Mutual Information Optimal Density Control of Linear Systems and Generalized Schr\"{o}dinger Bridges with Reference Refinement Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:56:24.496334Z

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=2026-05-12T04:48:43.030341Z digest=sha256:1b346122400bcc7a58afebac24349a5a292d76ca6d0aa742dc2b76548820ffdc

Observation 94f56815-2179-4fda-b097-666a5c0f1000 · inbound

Beyond Mode Collapse: Distribution Matching for Diverse Reasoning cites this paper.

Beyond Mode Collapse: Distribution Matching for Diverse Reasoning Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:33:04.118658Z

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=2026-05-20T05:30:37.685873Z digest=sha256:ae4faaf837da2fbe2850930247473ad5ba3d7b216f37f84cf99887e8a42c8097

Observation 247da142-9fa0-4733-9d82-fb746e4928b3 · inbound

LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition cites this paper.

LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:45:00.059456Z

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=2026-06-30T18:44:14.878564Z digest=sha256:5c1914f8f83a1530a071605a5e06bc14d6d23ecf73147eed656ba133e2c10407

Observation 842a6a8c-96b6-409e-bc06-05431658e723 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 223

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:46:14.371614Z

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=2026-06-28T17:38:50.313305Z digest=sha256:c55bf8f7411ccf2c5189b8f3c3a5a889c1701bf2edf2cf660a00aa7374d7b228

Observation ad5219bc-7e7c-4b91-9800-317de72983df · inbound

Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning cites this paper.

Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:42:49.531045Z

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=2026-06-28T23:38:38.127345Z digest=sha256:02aa737722c7ce0acb61b54b2acaef1c7350e76112b0c79ad00c905c7b6d03e9