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Paper Citation Record · LEDGER

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.13731.

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

pith.paper-citation-record.v1
2607.13731 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:15:55.424699Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

22 of 22 outbound references displayed

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Outbound references

Observation ef6cc1c7-1b61-41dd-bfc5-6a57ce6d99e4 · outbound

This paper cites Option-aware temporally abstracted value for offline goal-conditioned reinforcement learning.arXiv preprint arXiv:2505.12737,.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Option-aware temporally abstracted value for offline goal-conditioned reinforcement learning.arXiv preprint arXiv:2505.12737,

Reference 1

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source=pdf_text observed=2026-08-02T04:15:52.199606Z digest=sha256:98fbb8f756aa5e49afd41a51593557e7c3ddc708c6d1c36f40c3bdd66c8ff9ce

Observation c595951c-fd90-41fc-b0fa-3e832ab10205 · outbound

This paper cites Both CA and DGCAplace near-all attention mass on a single token.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Both CA and DGCAplace near-all attention mass on a single token

Reference 3

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source=pdf_text observed=2026-08-02T04:15:55.297211Z digest=sha256:e4dd76903f395a0baf3768a2cd7e04e496ff6ad64fce7301cdb5bd30ab3dd359

Observation 359a622b-a45f-478d-a092-c9ed45197072 · outbound

This paper cites an unresolved cited work.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T04:15:54.734061Z digest=sha256:d43cdb93c15373cabdf1744a127ba48227954df5a722a83d22d22f3af683a60c

Observation 360c238e-44ac-4877-8170-81c3046e3ff7 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 8

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source=pdf_text observed=2026-08-02T04:15:53.199135Z digest=sha256:1175e2be2195c91fb9587076d94582d0f4af43203b4dc7dd7db3fc25e66f86cb

Observation 96fbc700-0318-4e0a-bbe5-5fa26f5691ff · outbound

This paper cites How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression

Reference 10

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source=pdf_text observed=2026-08-02T04:15:53.597035Z digest=sha256:53987b2c2cf8c92c2972f21a596b99d1835bfad2fd1efd08db4383887119a9f9

Observation 9e83e3a3-b882-47b2-abef-d6a7dc353e9a · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Octo: An Open-Source Generalist Robot Policy

Reference 11

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source=pdf_text observed=2026-08-02T04:15:53.801568Z digest=sha256:8e9d4e2e0fb9da97c4f851d8fc93a69004fe4eef353a2c8feaee089afc800c87

Observation fe3c9a94-7336-40f6-a412-1f921a21b606 · outbound

This paper cites The information bottleneck method.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention The information bottleneck method

Reference 12

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source=pdf_text observed=2026-08-02T04:15:53.998813Z digest=sha256:f7653e225ca95625ce99970951d3480b24a415f674ffd73fe14a22d348a80efc

Observation ec09db39-d55b-41d6-b1e0-f6cba50b8be5 · outbound

This paper cites Scaling proprioceptive- visual learning with heterogeneous pre-trained transformers.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Scaling proprioceptive- visual learning with heterogeneous pre-trained transformers

Reference 13

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source=pdf_text observed=2026-08-02T04:15:54.265285Z digest=sha256:3c5f604d5563b76b346795587d6a99a4668662cc51c1926fa728762d26e99c99

Observation 1de86342-14e7-4ea2-b422-2824a54e6bb3 · outbound

This paper cites Stabilizing contrastive RL: Techniques for robotic goal reaching from offline data.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Stabilizing contrastive RL: Techniques for robotic goal reaching from offline data

Reference 14

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source=pdf_text observed=2026-08-02T04:15:54.398744Z digest=sha256:62413f45bf1423828f9ba1d247b17b0035fa37b1e5cf0288ef8d994986aa7d1f

Observation a8a12a62-f691-443a-bcb0-b912b151b3b6 · outbound

This paper cites Flattening hierarchies with policy bootstrapping.arXiv preprint arXiv:2505.14975,.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Flattening hierarchies with policy bootstrapping.arXiv preprint arXiv:2505.14975,

Reference 15

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source=pdf_text observed=2026-08-02T04:15:54.504780Z digest=sha256:9cf8aec552b15b867be3ac4486a83b1935af1b851ec41be87690462b2423e801

Observation ae9bce62-4d2b-412f-9444-5e5ed929ce72 · outbound

This paper cites 19 D.2 Proof of Proposition 4.2.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention 19 D.2 Proof of Proposition 4.2

Reference 16

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source=pdf_text observed=2026-08-02T04:15:54.581226Z digest=sha256:5a4470a097f7d708285ea76fd0fa497ea752b25e6b5c7f3aa87c0eda74c1f38d

Observation d1a8b3b4-317f-45a5-aba4-6d0e53affd0c · outbound

This paper cites an unresolved cited work.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-02T04:15:54.902045Z digest=sha256:db31f0457a73ad6a46098bfaddf17c0cc41fc65f3d977f0f5c79d27ad447a51c

Observation 720c9555-1c62-4dd8-ad75-85edad41d974 · outbound

This paper cites The locomotion suite uses PointMaze, AntMaze, and HumanoidMaze with medium, large, and giant variants of increasing layout complexity and path length.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention The locomotion suite uses PointMaze, AntMaze, and HumanoidMaze with medium, large, and giant variants of increasing layout complexity and path length

Reference 19

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source=pdf_text observed=2026-08-02T04:15:55.089386Z digest=sha256:81b5e8ff2ceb2c86dccff91e5d487119d9c4c45a8f9260e923776564e74c6ab8

Observation fb36100c-eb62-4943-969e-2f2e43c27e52 · outbound

This paper cites an unresolved cited work.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Unresolved cited work

Reference 20

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Observation 17bf9405-19d9-4d94-a705-3f6d57321e08 · outbound

This paper cites Hierarchical planning (HIQL) is also far above zero.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Hierarchical planning (HIQL) is also far above zero

Reference 22

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source=pdf_text observed=2026-08-02T04:15:55.424699Z digest=sha256:72312f1781b53459a9373e9a53fb5c041b64ac3f09036b297b0a59eae7993cb5

Observation cf2c4d0c-c8a5-42a1-8878-12815ec1d663 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2002

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source=pdf_text observed=2026-08-02T04:15:52.574575Z digest=sha256:312fc270ddab995919a2af7419c722d1ec675d37ab8b9a4933e2dbc2edf3475b

Observation 8a9a3960-da33-4586-a473-ad6e4c61c817 · outbound

This paper cites NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL

Reference 2017

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source=pdf_text observed=2026-08-02T04:15:52.407616Z digest=sha256:5554a3653c369f2f83b47aca2580b5d6a4985bb75df6cd16d024fa5d66585cd7

Observation 266c5990-a8b3-4ef5-a351-796437752e6d · outbound

This paper cites Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning

Reference 2018

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Observation 8c3fc251-e5d9-4816-a034-a9522b7f4a3e · outbound

This paper cites Goal-Conditioned Reinforcement Learning: Problems and Solutions.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 2020

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source=pdf_text observed=2026-08-02T04:15:53.392271Z digest=sha256:8e8757ea0ab9eed34901f31bd2b6c0d23028799b5d6f72bde1d868e40732dff6

Observation 23872677-aa60-49d6-b1f6-2d056f96f550 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 2024

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source=pdf_text observed=2026-08-02T04:15:52.665308Z digest=sha256:66936f38eedb06c05e46bc39380e2cb4a15a72e4ebb19ad37153856a6bb61e9c

Observation 6d4ae026-2107-48e1-8c42-c3069c9ff7a8 · outbound

This paper cites GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning

Reference 2025

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source=pdf_text observed=2026-08-02T04:15:52.992963Z digest=sha256:87b9aa104b6c9d416c5e8fc0b0107844bc3029e6c97ad623eafe695f86b1d266

Observation f946463d-5fff-435a-b16a-79964c4e4d2a · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention OpenVLA: An Open-Source Vision-Language-Action Model

Reference 2026

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source=pdf_text observed=2026-08-02T04:15:52.834629Z digest=sha256:9ffd448f7426691ca300bb8a1bb38a0e7827eed4005617718e43584ba673ec83

Pith citing papers

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