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Paper Citation Record · LEDGER

Generalized Bayesian deep reinforcement learning

As of 21 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2412.11743.

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

pith.paper-citation-record.v1
2412.11743 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:43:19.680037Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:54:17.200799Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:54:17.417399Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f409fba8-f17f-4d52-a471-029592223997 · outbound

This paper cites an unresolved cited work.

Generalized Bayesian deep reinforcement learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:43:19.974177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.667955Z digest=sha256:93782cb25a0c6e46ec4060fb0fddd9d50326fe06eae70f38e782d5a4b4ca4435

Observation 6c3ffd3c-db77-4e0b-88fc-f6a3a89f29c8 · outbound

This paper cites 2023.10313460.

Generalized Bayesian deep reinforcement learning 2023.10313460

Reference 6

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-11T14:43:19.889434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.645406Z digest=sha256:d78773cfcd136d0bdc69b40d6f0ebc9eb11220473e50db0363497331b0b88628

Observation b1e28d19-43c5-445e-be07-78f94673abd1 · outbound

This paper cites an unresolved cited work.

Generalized Bayesian deep reinforcement learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:43:19.988245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.662405Z digest=sha256:9bff9beb3abfdc31786c2598f088d9607420714aa5d59b2525b3cac122372200

Observation 360f7d37-f1d8-4f8d-a84d-995bfdd5238a · outbound

This paper cites Theorem 8 (Theorem 6 from Miller (2021)) Let E ⊆ Rp be open and convex, and let θ∗ ∈ E.

Generalized Bayesian deep reinforcement learning Theorem 8 (Theorem 6 from Miller (2021)) Let E ⊆ Rp be open and convex, and let θ∗ ∈ E

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:19.960141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.672918Z digest=sha256:571737a60cc988d183474494259d6065eb15faa1d97522a5d1bbec53a46f4493

Observation 8d311f3c-c6a8-4cc6-b2c8-2efb4bf509da · outbound

This paper cites A bayesian framework for reinforcement learning.

Generalized Bayesian deep reinforcement learning A bayesian framework for reinforcement learning

Reference 1998

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:20.020741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.650517Z digest=sha256:55450e2e225add30998604fa1f59b1f12a8acd3b0d3ad72895e5af4a4ad3c832

Observation 77137c48-f07b-4925-94e6-d2bb280269cf · outbound

This paper cites Model-Based Reinforcement Learning for Atari.

Generalized Bayesian deep reinforcement learning Model-Based Reinforcement Learning for Atari

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:19.616485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:19.616485Z digest=sha256:70b16bd991e813a5cac4cc6970605ee8179aa804f2b13e5b15a6285fa34ebd09

Observation 977278db-54c8-4a01-98b0-efeb9de6d7a7 · outbound

This paper cites an unresolved cited work.

Generalized Bayesian deep reinforcement learning Unresolved cited work

Reference 2016

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:43:20.002071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.656272Z digest=sha256:26bd4dfb80da25b2ca305e2ea11839f7a028aa9fcdbbb900a8c39702da5318f2

Observation 03161788-6c1d-49a9-97a1-63c15d03fb26 · outbound

This paper cites Asymptotics for power posterior mean estimation.

Generalized Bayesian deep reinforcement learning Asymptotics for power posterior mean estimation

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:20.033711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.639294Z digest=sha256:44641f3344cfb50cee631484f96558c7667c117047a5e7354dbcf9fb4e2a0c60

Observation 9245fbf4-459d-465f-8a82-d1d1aed995d9 · outbound

This paper cites Searching for Activation Functions.

Generalized Bayesian deep reinforcement learning Searching for Activation Functions

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:19.633486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:19.633486Z digest=sha256:5d90b05bf34fdb5fcac33a2132c4be090caad1c21a2c28194ad89d663331efda

Observation 948c5459-e5a5-4aef-8cbc-878f279b0c05 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Generalized Bayesian deep reinforcement learning Adam: A Method for Stochastic Optimization

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:19.623041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:43:19.623041Z digest=sha256:5a3bd8bf468a21a80d6818d77492cf6822ba49c7baf1b1c44553661c5ea95a7f

Observation 478dec43-107c-4f5b-83ed-04f9f6b61643 · outbound

This paper cites an unresolved cited work.

Generalized Bayesian deep reinforcement learning Unresolved cited work

Reference 2020

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:43:19.944202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.680037Z digest=sha256:ddcea206611bee14619cb948a171c93c7616e16b2ecf8e11bd76f6565a02ceb3

Observation 233a46f1-c90d-4f2e-8564-4c59b4e9d578 · outbound

This paper cites Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning.

Generalized Bayesian deep reinforcement learning Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:43:20.048487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:43:19.628803Z digest=sha256:50960ce627a37f3c91c76aee84ac0df859c1d53fd8ae32c243ffe9fb8dc2b31f

Pith citing papers

Observation 4367ce4f-c241-49f6-993e-0ac2422f14a0 · inbound

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization cites this paper.

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization Generalized Bayesian deep reinforcement learning

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:54:17.423019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:54:17.200799Z digest=sha256:9ebbd2dd50369d8ea467cb2ba86471ec285f81142880d0e2d23d81ae2f0c81b7