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Paper Citation Record · LEDGER

ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1809.02070.

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

pith.paper-citation-record.v1
1809.02070 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:02:25.039191Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-15T03:09:43.506637Z

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 ec83703a-3704-4f1f-ac43-febae58e29ea · inbound

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning cites this paper.

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T00:02:25.039191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:02:25.039191Z digest=sha256:06635eada8363af2ffc35f1c53115f756169afabcfb2e25548aed6075ca4e210

Observation e35ab69d-2643-4b45-ada5-dce8accd9f1b · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

Reference 141

Resolution
verified exact
local_arxiv, observed 2026-05-15T03:09:43.509862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:6bc051b02d8785955fd7509f8505761320c657b7a12beee0eea60b2e4de2fc4c

Observation c908f1a7-5ea7-45a1-a9af-2081b91f0e7e · inbound

Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations cites this paper.

Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-11T20:45:51.403759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T20:45:51.403759Z digest=sha256:1b3181cef85bb41a80f5756c38b4cb31ee6ec06cee2b135c8f24a70d40783f19