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Paper Citation Record · LEDGER

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning

As of 6 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2506.05762.

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

pith.paper-citation-record.v1
2506.05762 v5

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T10:48:28.980868Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:16:57.396710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T03:46:32.446959Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact28
  • verified fuzzy7
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7b2bebc-ddaa-4b1b-b6a5-71ad604de36f · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Is Conditional Generative Modeling all you need for Decision-Making?

Reference 1

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local_arxiv, observed 2026-05-19T10:52:15.310681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation fb6a594c-3ff8-4524-abb7-7961a2e15350 · outbound

This paper cites Chemingui, A.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Chemingui, A

Reference 2

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raw_fallback, observed 2026-05-19T10:57:18.836842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:5e5bfbd6a0538b9fba65e3444fb1a6bae5415b364bb7661fbc8dce39580248c9

Observation 6853cd3b-dbe2-4a4a-b7a5-59433c27341d · outbound

This paper cites Powerformer: A Section-adaptive Transformer for Power Flow Adjustment.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Powerformer: A Section-adaptive Transformer for Power Flow Adjustment

Reference 3

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arxiv_id, observed 2026-05-19T10:52:15.316376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 85dcc496-096f-4739-9b92-aeccffcc7e49 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 4

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raw_fallback, observed 2026-05-19T10:57:18.834466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:99b4df623576953f871668a256ad95d2061e1d463841fdaef2efc5bbe42845f5

Observation 27b7d585-a06a-49c9-8565-b6af1f27c458 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 5

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raw_fallback, observed 2026-05-19T10:57:18.829111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:e85776aeb3a19ec66c8d842606ecbcdd5f9f07c126712ce3406ca63d407fd546

Observation 5d634853-c61a-4609-811e-75cbe86336d3 · outbound

This paper cites Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning

Reference 6

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arxiv_id, observed 2026-05-19T10:52:15.288028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:5dabcab08c15d7eaea9bf851df556e5f1aef1c1ed07fdc9fb69f051ab92f4d41

Observation 926d6637-e78a-4624-990b-80f8cd33e994 · outbound

This paper cites CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

Reference 7

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arxiv_id, observed 2026-05-19T10:52:15.307723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:4fcdd332b6ed940fac01b346162a0241c3582c7d8d6876312eadfeba4e2706ea

Observation 5213234e-77d8-47d8-921d-5d0927790d75 · outbound

This paper cites Fathi, T.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Fathi, T

Reference 8

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arxiv_id, observed 2026-05-19T10:52:15.313386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:528ff31beeb6ab6df8b307c15cc3bd78222edd32d7f5439770dfb9c96c781267

Observation 08e7d6ac-5f1e-46a2-a11f-46da1e673db4 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 9

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local_arxiv, observed 2026-05-19T10:52:15.282652Z

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Observation 3a678d67-a3f2-4d90-80f9-02b4c2272a4d · outbound

This paper cites Fujimoto and S.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Fujimoto and S

Reference 10

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raw_fallback, observed 2026-05-19T10:57:18.825348Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:1c168b0a7f74a09dd23610faae9f603694866ae94fac07851c080d6d8d6a60f3

Observation 19864077-c047-4c32-aab9-2a7cfacae91c · outbound

This paper cites Fujimoto, D.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Fujimoto, D

Reference 11

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raw_fallback, observed 2026-05-19T10:57:18.822755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:b26934d19149eb1b08a7a861411c5dee1fbfce66191438b5e6aed2bd8ef1c38c

Observation f24350cc-dca8-444c-bb04-5000583814d6 · outbound

This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Reference 12

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arxiv_id, observed 2026-05-20T06:50:38.345995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:bafc34a7feef20525fab4ee03819b95ddb02291d6aeefebcb4c35a54031805cd

Observation 434735f2-a667-411c-9900-105bf2cd3b24 · outbound

This paper cites Mastering Atari with Discrete World Models.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Mastering Atari with Discrete World Models

Reference 13

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local_arxiv, observed 2026-05-19T10:52:15.264522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:a0fb66e6cce8271abcc173a50b6e55798b894c79ee971e802f5eb678bc7a401a

Observation c329f2cb-2944-4c74-afbf-2f548ebeb6a6 · outbound

This paper cites Mastering Diverse Domains through World Models.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Mastering Diverse Domains through World Models

Reference 14

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local_arxiv, observed 2026-05-19T10:52:15.259118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:9382261a2e4ea93e4e62f7ea7494d7afa217e18228daa27382e6e8d35bb33644

Observation a750b801-2ecd-4803-8de8-21424d59e889 · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Temporal Difference Learning for Model Predictive Control

Reference 15

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arxiv_id, observed 2026-05-19T10:52:15.261991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0e07a3f6-e190-40e7-9a4d-bd97715347a2 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 16

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local_arxiv, observed 2026-05-19T10:52:15.277609Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:52ab9e65b6424dd0380d70fccc09c59afd4e3ac7569384e0ea73fae21f3934f7

Observation 26deeae8-49f9-4235-afd4-111a885c3fb2 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 17

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raw_fallback, observed 2026-05-19T10:57:18.820440Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 692fca37-7c1d-49a8-9433-765d3fc4946e · outbound

This paper cites Classifier-Free Diffusion Guidance.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Classifier-Free Diffusion Guidance

Reference 18

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local_arxiv, observed 2026-05-19T10:52:15.269779Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5f22db4e-835a-4f59-a1c7-fb0fdcac2594 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 19

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raw_fallback, observed 2026-05-19T10:57:18.816076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:6e24cffc6884bf5213f5839396e2a4be924d38b3d6a978a1f55b459a9f816cce

Observation 8ad364aa-fb9a-490d-a63b-7b4109fa9b76 · outbound

This paper cites Policy-Guided Diffusion.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Policy-Guided Diffusion

Reference 20

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arxiv_id, observed 2026-05-19T10:52:15.299387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:2a0b14aa4425dc8f5fed682137e5221ecfe998e99dbfb894246ce5ff2b4de833

Observation 1f6791ec-640f-4211-a05b-0e586eccd988 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Planning with Diffusion for Flexible Behavior Synthesis

Reference 21

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local_arxiv, observed 2026-05-19T10:52:15.252085Z

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source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:237a0e1f76b873f87c1083196c17a88d6b66381d7260683ebbdb5f74fd50a2b0

Observation 18a6e763-0b7c-4e2f-83b1-ea1e27b0614c · outbound

This paper cites Kidambi, A.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Kidambi, A

Reference 22

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raw_fallback, observed 2026-05-19T10:57:18.813044Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:7a172236afe69c42417dd98cb319a088bc969d37eb8051f1f6973f7f2aaa7998

Observation b365b5b2-f975-46b6-93a0-8ab5b8215e8d · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Offline Reinforcement Learning with Implicit Q-Learning

Reference 23

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local_arxiv, observed 2026-05-19T10:52:15.249480Z

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source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:28240e4f2dddee0b7be94718b978b6e4cd344beee1711559754ce882002b4aa8

Observation 852b77a3-10b6-4120-9785-3e2f361accea · outbound

This paper cites Kumar, A.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Kumar, A

Reference 24

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raw_fallback, observed 2026-05-19T10:57:18.810092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:9b426c4ea6e6c4021fada6116e8aa62c90aaafc7380234084ad80c54073f4483

Observation b21890e2-3a96-40fe-b354-5b868aa601e0 · outbound

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

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 25

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local_arxiv, observed 2026-05-19T10:52:15.246580Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:392f3008cc66ef4b32b062106621d4231a5eb0e33afc602a21197894ae9ba09e

Observation 0e7c37aa-249c-4739-bd17-aa0709625456 · outbound

This paper cites DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching

Reference 26

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arxiv_id, observed 2026-05-19T10:52:15.272603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:3c46e947dd117fc64245385f393489928eeedbabf12b0d96505813f81a8b62ff

Observation 3a9d179e-0128-48c1-88fa-c885d2afcbba · outbound

This paper cites Augmenting Offline Reinforcement Learning with State-only Interactions.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Augmenting Offline Reinforcement Learning with State-only Interactions

Reference 27

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arxiv_id, observed 2026-05-19T10:52:15.243583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:0afc5af604190b135c931b52c841de6bb8c9e01283c65c752d9a86b05acd245a

Observation 605d93f3-9d19-41f5-8908-036612ec4efc · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 28

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raw_fallback, observed 2026-05-19T10:57:18.806240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:8049b12b9a8c0013afd9ab71baf6083652a5cf3e6e03a1182f8847ed226a1e34

Observation 4f0c6d2c-fc85-49be-ba72-d44c49184abe · outbound

This paper cites Curricular Subgoals for Inverse Reinforcement Learning.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Curricular Subgoals for Inverse Reinforcement Learning

Reference 29

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arxiv_id, observed 2026-05-19T10:52:15.256479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:297fcb268a7dbd7015b54c38d8fe48f1393a5377e5ef0a70a607251ea59abf87

Observation e40373d9-1630-4c22-8a51-04c0fe1ff336 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 30

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raw_fallback, observed 2026-05-19T10:57:18.803277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:9f22245be2c51b55c2805e2627436e7a36148063c0ec571826f16e8626d6b1ab

Observation a79bacb1-09cc-4890-8b4b-07bcebf07c77 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 31

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raw_fallback, observed 2026-05-19T10:57:18.800718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:3e98f4470d496de0ce43c6842aba89ab5f49334569692780d97d383e188be0ed

Observation b1f2c794-687e-4de9-bf71-67158422473c · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 32

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local_arxiv, observed 2026-05-19T10:52:15.240025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:06e921061edff08235b5e6e8eaf92af434bc00d8d6c9658c89e5b0c5d62b03a7

Observation 70bb6af2-175d-4079-90f9-62e81ef5c241 · outbound

This paper cites Is Value Learning Really the Main Bottleneck in Offline RL?.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 33

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arxiv_id, observed 2026-05-19T10:52:15.304858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:b27c06d62e783b730c48b5cebd6650a2d67d1afa221677a90590300433e87936

Observation c41f7c9a-f5f6-4907-b315-16b239868602 · outbound

This paper cites Paster, S.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Paster, S

Reference 34

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raw_fallback, observed 2026-05-19T10:57:18.797178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:994ec2275390855ca7529607ea738a414f2f4fff3ddaf8407e5a567dd8a3995c

Observation e32e77f2-ece5-4ac3-bb5f-e9a7d67f8ddc · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.793796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:7dfc29e6d67a744d9cda07bb24a42cc8eb4a48059d66461ef21a5faaf48377d4

Observation 11455ce9-722a-4ea8-a5cf-32406d749ba0 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.790651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:4ed4005bbaae0efeaf473158e164646019af4cb24961e7b1505d72f6bb331305

Observation 77d558e4-f372-4de8-aa16-78e042ab31f7 · outbound

This paper cites A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.302058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:b0073c45844f1f898057b5c3e2e9ef600502f95d089ac03337d2843c9ca525be

Observation 23ff9637-a804-4d3d-9f6d-97d16d913d1a · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.787172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:1d8bf2008c4ea227e8251140dff94599b704161ee396e29b9f4c3d1fe871cc2d

Observation 928d07ef-5917-4808-873b-c29bb6259c24 · outbound

This paper cites Retrieval-Augmented Decision Transformer: External Memory for In-context RL.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Retrieval-Augmented Decision Transformer: External Memory for In-context RL

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.296534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:d95bd9e63550d2fec314ac60c7c0ca005992c2ff4a2848285a0ad4996cf7de47

Observation d6dfad1a-88e8-4a0d-a4ad-88e729d4c1ec · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.783640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:10a7295d8dffe2332f0bd6941e534a60005bc8211cef32095fe4aee7335e40ab

Observation 35dffa2f-c7e8-4f15-84bd-0816f5b5f29b · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.780536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:ae11e2963f928c456a7b3abd17bd4fc155fcaf6eff87a6cc130f1dd40c8f8852

Observation 73cb5e41-73b1-4880-b855-fa88ec14db27 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.777409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:2e3d338ff4f7ddc1609e24e8daee4844b555b86433b155e6937d4d1c0fb82ebb

Observation b7f1c97b-30ed-4ad2-a29c-26781fdfb1e4 · outbound

This paper cites Prioritized Generative Replay.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Prioritized Generative Replay

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.293768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:51ab6bf9f2b3e52b7eddc49d2b81e03ed75445e29e50abb1f511e076004e01d1

Observation 77a45f2d-adb8-4921-b993-68bdfb79c047 · outbound

This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-19T10:52:15.290962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:95f7a34a8eed85d5871108021e17657ce82965aad49598eb5ec41cf1a9c8a455

Observation 37a3a6e3-01c3-4e8e-848c-d21024b783e5 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.772358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:0db3645ea8e60112ac2ef900fa7cffc4f49f6022eae8635791fcbaa6fec9f5ef

Observation 0c67fefc-1819-42ba-9415-5af47f1e6ea1 · outbound

This paper cites Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.285443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:e72fd3d3e58d9b1e50babf27ca0175e1ff90d90212a79c3047233f317f2bacfc

Observation 8348829a-9896-4678-b0cd-9eb6a90d4460 · outbound

This paper cites Yang and Y .-X.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Yang and Y .-X

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T10:57:18.767883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:6dc26c430d54a9eb229f1919452626ad75c918e86a1465a7a2c4711607a84e23

Observation d30685d9-dd1c-47ab-9992-edcefaffc000 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.765507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:e3ababb9bbbb209bdb6ebada15b43948fb6dcd0fa0b5485fb0bf98f45036a81f

Observation 73114c53-c202-4234-a5bb-c65de2f59ac4 · outbound

This paper cites an unresolved cited work.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-19T10:57:18.762449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:489b9a6a47da9e4e812ab873684a00695f7375e04c8541a5b9c3334588907d59

Observation fbf7fc05-7fff-4ef7-a5cd-6f2bbb3f7db7 · outbound

This paper cites Boosting Offline Reinforcement Learning via Data Rebalancing.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Boosting Offline Reinforcement Learning via Data Rebalancing

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.280066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:89b33655c2266537c55e95e0d7fc86ba4f9cd92936ed91d59182a8efce55b8e0

Observation e0fe818e-9ab4-42ea-a4cd-e75b9c450f5f · outbound

This paper cites Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.275082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T10:48:28.980868Z digest=sha256:d34d9f189a6773e7239551eb169c844cdb7267558348ec50f3dee49d7ee3653a

Pith citing papers

Observation e268bf49-d77e-45b9-8364-a9960343936c · inbound

Affordance2Action: Task-Conditioned Scene-level Affordance Grounding for Real-Time Manipulation cites this paper.

Affordance2Action: Task-Conditioned Scene-level Affordance Grounding for Real-Time Manipulation BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:46:32.448376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T09:44:51.896204Z digest=sha256:168a8f04416ae307dd3fc2b4f5aa2bcca699b6114a499b76517e0d907025a982

Observation 35c39e8f-1aa7-45f6-924f-c07065ea3ef2 · inbound

ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI cites this paper.

ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning

Reference 119

Resolution
unresolved
no resolver link, observed 2026-07-11T19:16:57.396710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:16:57.396710Z digest=sha256:629269d593eec7ca1217e5a58be328731c60c565c48d7fd8f69ecfce204d752a