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Paper Citation Record · LEDGER

Reachability Weighted Offline Goal-conditioned Resampling

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.02577.

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

pith.paper-citation-record.v1
2506.02577 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:24:59.912161Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9821e9c-0035-4add-92d2-8b0841445205 · outbound

This paper cites AlgaeDICE: Policy Gradient from Arbitrary Experience.

Reachability Weighted Offline Goal-conditioned Resampling AlgaeDICE: Policy Gradient from Arbitrary Experience

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.457411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.457411Z digest=sha256:5519937a02ba48cb4be0d8fc5486d1e9c5cde318a2e7f4f2d4577697f740b257

Observation 70231539-425d-4ded-afd6-812f326a3250 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Reachability Weighted Offline Goal-conditioned Resampling Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.512012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.512012Z digest=sha256:b681967ffa88e7951332e3e7888b1a68b7065ca83a6f94bcc576e914c5ef1e36

Observation ed79dc79-5a62-4f48-a1cf-723761b15eaa · outbound

This paper cites GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models.

Reachability Weighted Offline Goal-conditioned Resampling GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.745260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.745260Z digest=sha256:081504d7bb8026fe562a228c64af7532340ba598281ce5123062361da6749a4b

Observation e4597fd0-d8a6-4bf8-9af6-2792551268ac · outbound

This paper cites Contrastive difference predictive coding.

Reachability Weighted Offline Goal-conditioned Resampling Contrastive difference predictive coding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.912161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.912161Z digest=sha256:11ccda970a08d3919b0729881b28ffc080e40f05ecc81db514e937e0e50fd9de

Observation bd193dd9-e705-4492-b848-f8bb6d6216f2 · outbound

This paper cites C-Learning: Learning to Achieve Goals via Recursive Classification.

Reachability Weighted Offline Goal-conditioned Resampling C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.107111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.107111Z digest=sha256:08b605509e1465a2f87e0edc30cda4e41bb2f51c42e94a26f1ed60419b006936

Observation 4a2c8f4e-4cca-4368-ae4b-bbeafb4a438c · outbound

This paper cites Charles Elkan and Keith Noto.

Reachability Weighted Offline Goal-conditioned Resampling Charles Elkan and Keith Noto

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:00.586978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:24:59.044765Z digest=sha256:20324550cd07f6df1105661c753054e7a368423a64d22eb4ac96c0205a1c71ba

Observation 70300d74-6b40-4983-932a-2c0b16915638 · outbound

This paper cites Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.

Reachability Weighted Offline Goal-conditioned Resampling Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.006613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.006613Z digest=sha256:01141075d794d62a038c19b8c5338fcb4b42bd677607cfc5f9fdbd6455967886

Observation 5054200b-91b8-4a5c-ba16-086516345e00 · outbound

This paper cites Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian.

Reachability Weighted Offline Goal-conditioned Resampling Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.657584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.657584Z digest=sha256:df294cefa5a13be8d0b29cd774abc5eff89e54a5c30117d333cee70bd46c25c2

Observation 4bab6db8-93d1-449a-8602-98ad5fc15346 · outbound

This paper cites Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.

Reachability Weighted Offline Goal-conditioned Resampling Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.589610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.589610Z digest=sha256:3041b8ec15dcc8d58a5227df35fb067e88611e765d2f7f99e79cf5d4064e9bff

Observation 61bed893-79e2-4f54-a38c-6e486d73ed24 · outbound

This paper cites Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL.

Reachability Weighted Offline Goal-conditioned Resampling Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.838130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.838130Z digest=sha256:b42f369212e7e11bb9559c8cbf8f856650111030ce02696d4e2f014ef08981b7

Observation 5430f879-9cc5-415c-a712-75801213e893 · outbound

This paper cites Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming.

Reachability Weighted Offline Goal-conditioned Resampling Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming

Reference 2021

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:25:00.304005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:24:59.239998Z digest=sha256:cc5a18d9b1f809f26ae1748c926eb0a7edf8d4158d72eb595bff3d026f428d97

Observation c5d1b977-6ba4-481b-a841-4a852e7a9bbc · outbound

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

Reachability Weighted Offline Goal-conditioned Resampling Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.397642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.397642Z digest=sha256:003c9242a686295ea63f31163dd573bd5b555f2172e13130620801cd85d3bc21

Observation 431af040-bbdf-4ca6-a6d0-43b31425a43f · outbound

This paper cites Goal-Conditioned Data Augmentation for Offline Reinforcement Learning.

Reachability Weighted Offline Goal-conditioned Resampling Goal-Conditioned Data Augmentation for Offline Reinforcement Learning

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:25:00.491537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:24:59.175627Z digest=sha256:8a9a76433839ceb9676969c278a7c8b7cbea37bf4acd1865c2b1ea23e71af34c

Observation 8d910177-1e81-4cff-acaf-decefdb1575f · outbound

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

Reachability Weighted Offline Goal-conditioned Resampling Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:59.326200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:59.326200Z digest=sha256:58048cf6853c33131b6dbedb9e000eb07f14776aa4a616ef65ac3132db5394e8

Pith citing papers

No inbound Pith citation observations are available.