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Paper Citation Record · LEDGER

OGBench: Benchmarking Offline Goal-Conditioned RL

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2410.20092.

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

pith.paper-citation-record.v1
2410.20092 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:51:10.088509Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:36.875832Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 80094c8b-5b20-472e-8415-45ff012c3829 · inbound

Probabilistic Artificial Intelligence cites this paper.

Probabilistic Artificial Intelligence OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 2009

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no resolver link, observed 2026-08-08T20:51:10.088509Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:51:10.088509Z digest=sha256:fe434f22ed9be57feca2b0c09bec117b799d655c423304d1e35704bde4eebd65

Observation ddd076b9-b87d-41cc-8f01-81939b16a6cf · inbound

Learning The Minimum Action Distance cites this paper.

Learning The Minimum Action Distance OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 29

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no resolver link, observed 2026-08-07T05:00:06.317779Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:00:06.317779Z digest=sha256:df705eec91b266dba164a951e776ae60e001ab779898ad5794ffdc9b5d249a2a

Observation 36b8ca25-01b5-4335-ae96-44d416abfe1e · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 86

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arxiv_id, observed 2026-05-17T21:55:46.344748Z

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=2026-05-17T21:55:46.183007Z digest=sha256:465e9774db4ac298e8449f4239ca3844405283ce2c8bd8a0288841098f21f475

Observation 6dff9391-b094-4459-a603-a585e27a868f · inbound

Reinforcement Learning with Action Chunking cites this paper.

Reinforcement Learning with Action Chunking OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 54

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arxiv_id, observed 2026-05-19T05:22:06.454680Z

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

source=pdf_text observed=2026-05-19T05:18:20.960945Z digest=sha256:778c1b5fd1742ef632285173fde2ba06d033bbc3ef16153f71a537d7834f4fb5

Observation 94b606da-e505-4439-a907-8aea010ac98d · inbound

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

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 46

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no resolver link, observed 2026-08-06T11:03:27.866008Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:03:27.866008Z digest=sha256:766821f9f0074f800d27d8971ce5504fde1b25bc4b2136a20d4cbd1c9cf9661a

Observation d9dbfc70-990c-4916-9fce-9c40718e0fdd · inbound

Value Flows cites this paper.

Value Flows OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 65

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no resolver link, observed 2026-08-04T11:01:32.940364Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:01:32.940364Z digest=sha256:af95240a2717f148d1738a0d6854495b6f4894bec9d84c49632fddc2bdbe4c44

Observation fa05d691-ee30-48d1-bca9-55001b0cf89d · inbound

Compositional Diffusion with Guided Search for Long-Horizon Planning cites this paper.

Compositional Diffusion with Guided Search for Long-Horizon Planning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 48

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no resolver link, observed 2026-08-03T13:13:46.181719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:13:46.181719Z digest=sha256:c27cf7f49f9bda13f3750f8192007c72e9623d68da9ad76d916182e29a1a9c52

Observation db0b3ea9-b2d5-4412-942a-55295afb2f63 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 43

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arxiv_id, observed 2026-05-16T03:37:13.925570Z

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=2026-05-16T03:36:09.272019Z digest=sha256:2a84caf206b4c7c989abbb462cfb7fe36b780c61550de2ea52fd3fc02416a318

Observation 51faad8d-45e9-4094-90c7-8d8b21cb8b97 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 43

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no resolver link, observed 2026-08-03T02:55:50.664859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:55:50.664859Z digest=sha256:92bb5c031c54e0c2e9b465946a78d65566df7cfd0fb0f5c7c0df222ac6690ec2

Observation a8343163-33b9-4f8f-862e-8bfb86baf7ce · inbound

Mollified Value Learning cites this paper.

Mollified Value Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 45

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no resolver link, observed 2026-08-02T20:29:21.761975Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:29:21.761975Z digest=sha256:a5b5a6a77cab60210c1fb614f2a2595936a282dd090d3cd03fc820faafe4f434

Observation f9df1c76-1628-4832-a185-ad2f45d46095 · inbound

Hierarchical Planning with Latent World Models cites this paper.

Hierarchical Planning with Latent World Models OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 35

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arxiv_id, observed 2026-05-13T20:18:13.774657Z

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

source=arxiv_source observed=2026-05-13T20:13:58.991298Z digest=sha256:b02c7f158dc6c48414112bc23f6b58ec6ec14387b6443ee607a1f02e94ae314c

Observation 91efc267-0bc1-469c-b6cb-d890ec779898 · inbound

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning cites this paper.

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 3

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arxiv_id, observed 2026-05-11T05:20:58.759408Z

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=2026-05-10T18:12:32.839681Z digest=sha256:4a4e267dfd98275957e3ee55ae62f63b9be6b49cde7e43b1e1cd7d428b0594a2

Observation 5d64e35e-d665-4b71-82a6-b355254c28fd · inbound

Fisher Decorator: Refining Flow Policy via a Local Transport Map cites this paper.

Fisher Decorator: Refining Flow Policy via a Local Transport Map OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 5

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arxiv_id, observed 2026-05-10T06:51:46.552771Z

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=2026-05-10T05:28:12.298066Z digest=sha256:3bba8888db40e1679d05e8caec6eaa29477d85dae37309106802ae28514d634b

Observation 52b4f72d-a89e-4d2c-b643-2cc6aaad9b70 · inbound

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 17

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arxiv_id, observed 2026-05-10T00:24:47.205459Z

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

source=pdf_text observed=2026-05-10T00:19:48.053466Z digest=sha256:809ac5d5f419ac2fe9bc3666f8597266bebcbd4027b8aefd41973b55cc7b45b4

Observation f7c41406-3076-4c03-9255-6e26d1176723 · inbound

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning cites this paper.

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 12

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arxiv_id, observed 2026-05-11T21:51:30.956553Z

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=2026-05-08T04:01:31.928056Z digest=sha256:b00aaaec12c2aee66f3a4c714cb8fedc62c12cdec7c882f8541521ec70c7d2cb

Observation 16424fe2-24bc-442f-a9c2-c627f70a1b1c · inbound

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B cites this paper.

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 19

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arxiv_id, observed 2026-05-11T15:11:06.863014Z

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=2026-05-09T20:30:51.580075Z digest=sha256:a5b0e65c407dfb4b50dfdffe08e797b3f58299f1ff38d4a3faa5a1f8b372ba21

Observation 300624e1-04bc-4ec4-87c6-edc248d7fa68 · inbound

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B cites this paper.

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 10

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arxiv_id, observed 2026-05-21T00:29:17.301394Z

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

source=pdf_text observed=2026-05-21T00:26:22.118037Z digest=sha256:ad693370ce95feec987f7c119b0e8fcf8b93bc1c974a645dcc2d0d758b672f37

Observation 9466608c-1199-4497-a4b2-077d4b95e77b · inbound

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 57

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arxiv_id, observed 2026-05-11T08:56:00.606269Z

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

source=arxiv_source observed=2026-05-10T16:25:25.739019Z digest=sha256:497ca65f4a2bfbc47b37c944fddbd0c9728fef30466efb98d1615861dc871f00

Observation c88c5716-39f9-4a42-b98f-974e35ff1918 · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 30

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arxiv_id, observed 2026-05-11T19:41:07.982348Z

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

source=arxiv_source observed=2026-05-08T11:20:19.749415Z digest=sha256:95dab7fd8fb862b3c5611c0731d16163134491f04d1215e56ee4e34fe61db4bb

Observation 6857293c-88d8-4b70-80b9-0634613f7325 · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 30

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arxiv_id, observed 2026-05-12T05:41:24.574346Z

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

source=arxiv_source observed=2026-05-12T05:05:29.984355Z digest=sha256:00e69e45f4a57be09ad6c7eadd662dac54a4b5d4582b3972ae5364eacc929539

Observation c98f6020-6a6c-44eb-b2a3-6e0cdc916f31 · inbound

Predictive but Not Plannable: RC-aux for Latent World Models cites this paper.

Predictive but Not Plannable: RC-aux for Latent World Models OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 33

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arxiv_id, observed 2026-05-11T03:50:57.287755Z

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

source=pdf_text observed=2026-05-11T02:11:26.526418Z digest=sha256:deeb18572ca309a8034b09f419beaecc57d89fa8c81b96b9ffec889b9054a895

Observation e418e201-bd0b-4a2d-a6d1-0865b173542e · inbound

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning cites this paper.

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 30

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arxiv_id, observed 2026-05-12T07:16:26.099173Z

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

source=pdf_text observed=2026-05-12T03:35:37.739085Z digest=sha256:ecd929c5d41d57ae7cca36ca2c66d5ef0c2f93a2ae77637d1d43b64a3d04f186

Observation 3314f778-70a6-4826-b3a6-9ec994936505 · inbound

Aligning Flow Map Policies with Optimal Q-Guidance cites this paper.

Aligning Flow Map Policies with Optimal Q-Guidance OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 32

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arxiv_id, observed 2026-05-13T05:07:17.404995Z

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

source=pdf_text observed=2026-05-13T05:04:22.603786Z digest=sha256:abcbf6310f616e79e77915619e0511211d4dde71c1d5b3aaf3c11d4b66e13df4

Observation 08f062bb-30cb-429b-8b2a-aaa02d3ea330 · inbound

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation cites this paper.

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 18

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arxiv_id, observed 2026-05-14T20:12:55.160986Z

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

source=pdf_text observed=2026-05-14T20:12:07.920183Z digest=sha256:07a23e3fb11eaa973cbd535ed339e79cf35c1dd8ca7b304180ff11f63215da6d

Observation 68eaf269-05be-4142-b8dd-52ae9d8b9432 · inbound

Abstraction for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Abstraction for Offline Goal-Conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 5

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arxiv_id, observed 2026-05-22T07:51:16.424773Z

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

source=pdf_text observed=2026-05-22T07:46:20.289421Z digest=sha256:7e35f7e77dc4977b699bf037540a64235aa4673cbf4ce036a333c7d80d7e357a

Observation ae08cfba-9d06-4283-8e67-ce8456143eb3 · inbound

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

Goal-Conditioned Agents that Learn Everything All at Once OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 44

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arxiv_id, observed 2026-05-25T05:00:21.633420Z

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=2026-05-25T04:59:48.867927Z digest=sha256:635c38fc9b494414c232517d3dfc9b998f8e636896163d551a8fb95fe0db84d1

Observation 3d2b2bbc-1993-411f-a147-1022ad6c4c7b · inbound

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning cites this paper.

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 47

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arxiv_id, observed 2026-07-03T04:17:36.877597Z

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

source=pdf_text observed=2026-06-27T14:05:01.073951Z digest=sha256:250ab1e8af04471e3e361cb194299656ab48ddef9d7c19b440112de293a30367

Observation eaff6284-3a5b-4e89-951c-191532220092 · inbound

Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control cites this paper.

Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 32

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no resolver link, observed 2026-07-11T10:36:56.968032Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:36:56.968032Z digest=sha256:21c158cfc0618517e7aa9e8a749ac2a81d8bbf31ccecd0d9e56c3f40a5e2b223

Observation bc458cce-5a2c-491f-8fa9-397615687046 · inbound

Information-Based Exploration via Random Features for Reinforcement Learning cites this paper.

Information-Based Exploration via Random Features for Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 42

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no resolver link, observed 2026-08-01T16:35:02.963644Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:35:02.963644Z digest=sha256:75a0e032e7c212682f2ca10af6fa8bf67005938300ee15fcf7fffe3858441476

Observation a760df6e-d248-44ab-bf5f-74b9f08d95af · inbound

Patch Policy: Efficient Embodied Control via Dense Visual Representations cites this paper.

Patch Policy: Efficient Embodied Control via Dense Visual Representations OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 60

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no resolver link, observed 2026-08-01T15:40:56.214865Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:40:56.214865Z digest=sha256:dffcdc3f227e90b4c10056cc189004c431e87618806b8fc0a0861dab73df13c2

Observation dc080992-ec57-4d70-9d2d-b5d554fe735b · inbound

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models cites this paper.

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 17

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no resolver link, observed 2026-07-30T17:53:36.995307Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:53:36.995307Z digest=sha256:26ad3e20f5fe954f5627154685eaea5d0b688e76d7f59c716ec67301e5b66946

Observation 43b47a63-4c4c-47c9-8f6c-814b4fa5ef8e · inbound

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning cites this paper.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 14

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no resolver link, observed 2026-08-01T03:05:32.205627Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:32.205627Z digest=sha256:c16463776311d6d9026bd380e88b65b8fea3169d98a7bc30c6fa25834406dfff

Observation 1f3ce3a4-1cc5-4edc-956c-e0696890dc7f · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 54

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no resolver link, observed 2026-07-30T11:06:23.418816Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:06:23.418816Z digest=sha256:48b941189a6787566c917df93f20ab3d1a49eedda91161b64830305a07fcb506

Observation 59243467-6b8b-404f-be6d-410361a58dae · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 21

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no resolver link, observed 2026-08-05T04:27:43.918926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:27:43.918926Z digest=sha256:8ac375bb27dfaf494d6d1373223bde9e878dea786fcd6bc44a4236b78681b030

Observation f6166a98-0e4f-4829-abdf-68c99f0d7fc2 · inbound

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search cites this paper.

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-31T01:24:21.144653Z

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source=arxiv_source observed=2026-07-31T01:24:21.144653Z digest=sha256:4b0349bbea9040a4346c53bf8ff155d363144f42fde7a6d1b042a5b46946a605