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Paper Citation Record · LEDGER

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.03502.

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

pith.paper-citation-record.v1
2608.03502 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:45.955765Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eca521a5-94e8-42c0-bdea-477d7231d8d0 · outbound

This paper cites an unresolved cited work.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:48.916567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8c52a268-6028-4ca4-829d-535ce9648ece · outbound

This paper cites Human -level control through deep reinforcement learning,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Human -level control through deep reinforcement learning,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T17:52:48.681665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a99d210d-1c5b-4a59-9226-4389fc8a1654 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Proximal Policy Optimization Algorithms

Reference 3

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unresolved
no resolver link, observed 2026-08-05T17:52:44.161873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:52:44.161873Z digest=sha256:43bc4b35f2b8e362293bb8610c8b36876df6019c79291527b8d8a971a3804cbe

Observation 4b9051e0-2a97-45c1-b01d-072f5380c34e · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep RL,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Soft Actor-Critic: Off-Policy Maximum Entropy Deep RL,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:48.456121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d843c560-c625-4da2-bc14-921e0372db2b · outbound

This paper cites Reinforcement Learning Unplugged: Benchmarks for Offline RL,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Reinforcement Learning Unplugged: Benchmarks for Offline RL,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:48.391335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:52:44.326748Z digest=sha256:4aed930277d4cd7f7ccd08c930a1fecb03a4ec9422c812ce8dec13219a464f9b

Observation dd13bf29-602d-49ef-9f3d-a4e725215c03 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 6

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unresolved
no resolver link, observed 2026-08-05T17:52:44.399729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9babcc4e-2d69-4e2c-808b-8871c7ecbfe7 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 7

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unresolved
no resolver link, observed 2026-08-05T17:52:44.474091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:52:44.474091Z digest=sha256:faaef896e7867443baeb1f07aff9124bfc5f176f018c248cdd5401b0be568e31

Observation 8f5321e7-3c2b-4115-a645-a968551162ec · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T17:52:44.560783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:52:44.560783Z digest=sha256:7ba5e2ff6a0103c77cea2564d7951624e091c3945ef268f434a08013bcbf57ac

Observation 59738885-9cdd-4ab7-bd73-aff76588b9b8 · outbound

This paper cites CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 9

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unresolved
no resolver link, observed 2026-08-05T17:52:44.629599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:52:44.629599Z digest=sha256:37452f5eca634d47b2b46a0b1b292260b4e3df21c9fc96733b87c2b0fd0ad85d

Observation cba9dc8f-745c-4e70-8b2a-0763c6f61683 · outbound

This paper cites APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum Encoding and Decoding.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum Encoding and Decoding

Reference 10

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metadata mismatch
local_arxiv, observed 2026-08-05T17:52:46.298256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 63ef0a9b-0eb2-4062-acbb-75db8b113e97 · outbound

This paper cites ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Reference 11

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unresolved
no resolver link, observed 2026-08-05T17:52:44.777206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:52:44.777206Z digest=sha256:c8e05f5fc3d79f4f54e6f4a773a7c57aa32f649fc119dca440e95e7814588297

Observation f5bf6165-612b-4c71-b364-73539460400a · outbound

This paper cites Language-Conditioned Reinforcement Learning,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Language-Conditioned Reinforcement Learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:48.260711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:52:44.884946Z digest=sha256:bd6ea80826f7aaa9725b3e739362a1472c734ea6334068aef5aebff71f2adba5

Observation 5a961a01-c5c1-4357-8ec0-85ef8cbcc08f · outbound

This paper cites PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T17:52:46.114688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:52:44.964876Z digest=sha256:59f4c98b64d0263e1feb4e120cc87a4a99aa14070b5cea4c84524ace578640eb

Observation fdd51f49-66ea-4dd4-944f-60bc90a8f274 · outbound

This paper cites LLM-Guided Symbolic Planning,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks LLM-Guided Symbolic Planning,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T17:52:48.085418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:52:45.039979Z digest=sha256:be4b0024440b64a1ae80d1672ea43e94ca348d3dd9a83c3bd40f7f61f3a07588

Observation 5aa58d80-a10b-4a1a-9b01-a8b2cf53862d · outbound

This paper cites Improving Reproducibility in Reinforcement Learning Research,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Improving Reproducibility in Reinforcement Learning Research,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T17:52:47.921425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:52:45.131198Z digest=sha256:974de70d6d2cedf523ea10e161bc2a72eeaca2e03bd96cc0bfef253b97efba9f

Observation f327194e-3b15-4708-98e3-97f18730a82f · outbound

This paper cites Representation Learning: A Review and New Perspectives,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Representation Learning: A Review and New Perspectives,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-05T17:52:47.775356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0ba9a4bf-c66f-44a4-8a4c-e10d85df9e8d · outbound

This paper cites Courville, I.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Courville, I

Reference 17

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raw_fallback, observed 2026-08-05T17:52:47.607490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:52:45.258680Z digest=sha256:412df3c000f9c1ff9a7bdfdb798d04c6b5fb6c8b612b6d7e25754b7dcfe29ac9

Observation a3b46684-97ba-482e-8070-bcf62c816258 · outbound

This paper cites A Geometric Perspective on Optimal Representations for Reinforcement Learning,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks A Geometric Perspective on Optimal Representations for Reinforcement Learning,

Reference 18

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raw_fallback, observed 2026-08-05T17:52:47.484062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 85594ee2-b6db-4aa6-9fc7-c82b88b4819a · outbound

This paper cites Deep Reinforcement Learning that Matters,.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Deep Reinforcement Learning that Matters,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-05T17:52:47.307755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eb977f77-e46a-4a77-96c1-f02aaaaf45c1 · outbound

This paper cites an unresolved cited work.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-05T17:52:47.124525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d7af8bce-84f6-4ffd-9414-2780caaabab5 · outbound

This paper cites an unresolved cited work.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Unresolved cited work

Reference 24

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unresolved
raw_fallback, observed 2026-08-05T17:52:46.977594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fecb19fb-45d1-49b8-805d-fced83feb892 · outbound

This paper cites an unresolved cited work.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-05T17:52:46.806193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 58dd0910-0449-4b33-9bfa-989fa0fc5661 · outbound

This paper cites an unresolved cited work.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-05T17:52:46.660091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:52:45.872937Z digest=sha256:7c0bf2fd7a92798497621b10333f266990ec6299a2fe1aa982536d4e1b7ae87a

Observation 4fa53196-163c-4484-b91c-9a8bdab40386 · outbound

This paper cites an unresolved cited work.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-05T17:52:46.476976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.