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Paper Citation Record · LEDGER

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs

As of 9 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2607.27415.

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

pith.paper-citation-record.v1
2607.27415 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:48:49.434409Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

58 of 58 outbound references displayed

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  • verified fuzzy0
  • unresolved56
  • parse uncertain1
  • malformed identifier1
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Outbound references

Observation d3f577c7-cbc0-4f26-b0c8-4560539f163f · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Graph of thoughts: Solving elaborate problems with large language models

Reference 1

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Observation 5834c4cc-fccb-4f39-b41b-00cb9e771465 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2

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Observation 8d3093a5-7d09-4d9e-94e8-50016e2ee993 · outbound

This paper cites Grounding large language models in interactive environments with online reinforcement learning.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Grounding large language models in interactive environments with online reinforcement learning

Reference 3

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Observation 8f121e9c-b95d-4e21-a50f-aaf616b89baf · outbound

This paper cites Agentboard: An analytical evaluation board of multi-turn llm agents.Advances in neural information processing systems, 37:74325–74362, 2024.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Agentboard: An analytical evaluation board of multi-turn llm agents.Advances in neural information processing systems, 37:74325–74362, 2024

Reference 4

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Observation e1c087f5-2810-4cb2-9394-012b77655df3 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 5

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source=pdf_text observed=2026-08-01T07:48:42.648031Z digest=sha256:5164fe995a25994e33c2ad42f55116eef56afe750ce1e8afdbbdb07911c5d8a4

Observation 51d4bfb5-cfe9-4502-920c-3795bafda3c5 · outbound

This paper cites The Llama 3 Herd of Models.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs The Llama 3 Herd of Models

Reference 6

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Observation befab7d0-552d-4865-adcc-4b42758622b3 · outbound

This paper cites Plan-and-act: Improving planning of agents for long-horizon tasks.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Plan-and-act: Improving planning of agents for long-horizon tasks

Reference 7

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source=pdf_text observed=2026-08-01T07:48:42.981933Z digest=sha256:773895554dda46a4e6768c9b3d0197b7a3a4df10817373b535459c71d8ebf5ea

Observation 47d03ce3-6986-43a1-8c26-cd536ddda8dd · outbound

This paper cites Large language models empowered agent-based modeling and simulation: A survey and perspectives.Humanities and Social Sciences Communications, 11(1):1–24, 2024.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Large language models empowered agent-based modeling and simulation: A survey and perspectives.Humanities and Social Sciences Communications, 11(1):1–24, 2024

Reference 8

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source=pdf_text observed=2026-08-01T07:48:43.065953Z digest=sha256:6c4edbea4d1bd50f550116e6a707306fd70cdc04198126b54e976761c09da71f

Observation a316917e-f56c-4099-bdd9-e2d43b661402 · outbound

This paper cites Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 9

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source=pdf_text observed=2026-08-01T07:48:43.163734Z digest=sha256:b8274d3470c79823a8a8bec88c0d7ca5f418d75f4751e1bae0d29207ffc9d81c

Observation ecd0c3e9-ca68-4ea2-a84e-c725401db58e · outbound

This paper cites ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Reference 10

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source=pdf_text observed=2026-08-01T07:48:43.303608Z digest=sha256:059507ed20b1d71b5cc69c0ceadfd37699d542c96826b9188ef27b440b23ea28

Observation 3c8501b3-7f26-4a6a-b707-d44787ff49ff · outbound

This paper cites Embodied agent interface: Benchmarking llms for embodied decision making.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Embodied agent interface: Benchmarking llms for embodied decision making

Reference 11

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source=pdf_text observed=2026-08-01T07:48:43.382346Z digest=sha256:5110c9a251000a59eed408c617dbec587d6f3cac4cbb0b48ebbb7c63a5f39bff

Observation b7a64cec-c207-49b1-bfda-9b15aa185b21 · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9, 2024.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9, 2024

Reference 12

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source=pdf_text observed=2026-08-01T07:48:43.509169Z digest=sha256:9910f6c83671fbc5ebafbc055e619fbc6bee357b645baef32425a3ac36f52504

Observation c59c3216-652b-4e1d-8e6c-bcd39cd67733 · outbound

This paper cites I-mcts: Enhancing agentic automl via introspective monte carlo tree search.arXiv preprint arXiv:2502.14693, 2025.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs I-mcts: Enhancing agentic automl via introspective monte carlo tree search.arXiv preprint arXiv:2502.14693, 2025

Reference 13

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source=pdf_text observed=2026-08-01T07:48:43.706586Z digest=sha256:0817732f64b74ad760cc74f9081f19046d4a0d6455752882e3700862dda110c7

Observation 0eb9e2c4-bc5c-47bd-b677-b9e671a21bd3 · outbound

This paper cites SFS: Smarter code space search improves LLM inference scaling.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs SFS: Smarter code space search improves LLM inference scaling

Reference 14

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source=pdf_text observed=2026-08-01T07:48:43.859836Z digest=sha256:2805bba7cc0fd626d39ef5484754d2969c43afa800d01ff99804d92dd8105836

Observation 0c2ed957-efdc-4baf-b0f5-10900fc45586 · outbound

This paper cites AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Reference 15

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Observation 8b9d7769-4877-4a62-98ae-e78c34832e1f · outbound

This paper cites MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 16

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Observation 3c6c2635-0836-4fa5-b081-484916339e61 · outbound

This paper cites A Survey on Vision-Language-Action Models for Embodied AI.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs A Survey on Vision-Language-Action Models for Embodied AI

Reference 17

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Observation d696f849-951a-418d-8e1f-2c000d2feb31 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems, 36:46534–46594, 2023.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Self-refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems, 36:46534–46594, 2023

Reference 18

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Observation 2b8c089b-85e7-438f-aede-621f58894d1a · outbound

This paper cites RET-LLM: Towards a general read-write memory for large language models.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs RET-LLM: Towards a general read-write memory for large language models

Reference 19

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source=pdf_text observed=2026-08-01T07:48:44.393105Z digest=sha256:3c3ac722fac20c16dbe6939f3db8ca7abac755b471e4c3f8b8042e3518274ef7

Observation 6432f1dd-92f0-4aca-8e9a-58765bfd7d75 · outbound

This paper cites an unresolved cited work.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-01T07:48:44.549009Z digest=sha256:b242cdcdf0cf91e1215649c75013c54d76d3f28026af00c3fb82295ad310eb49

Observation 6621c173-b32a-42ef-9002-87e7ab8c64f8 · outbound

This paper cites Gpt-4o mini: advancing cost-efficient intelligence.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Gpt-4o mini: advancing cost-efficient intelligence

Reference 21

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Observation c2cc1e0d-7298-4e34-ad5f-ced2e8ef4dc9 · outbound

This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 22

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source=pdf_text observed=2026-08-01T07:48:44.732806Z digest=sha256:69ee0494dff98ecfc0eefb554e922297dc80030eb5ccc41dd55651d74cce409c

Observation 3529748d-d2ad-44eb-a02e-fa38271c7a3a · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs MemGPT: Towards LLMs as Operating Systems

Reference 23

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source=pdf_text observed=2026-08-01T07:48:44.859666Z digest=sha256:8712968283a1d8613d2cfe587285746bdfe25932af749dccfab09cb1110d7b25

Observation 1a4fee4a-0b98-437e-8e6b-b0cc08b21ac8 · outbound

This paper cites Bernstein.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Bernstein

Reference 24

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Observation ec0d9969-0179-4a7c-a587-1d3690d52295 · outbound

This paper cites Mutual reasoning makes smaller LLMs stronger problem-solver.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Mutual reasoning makes smaller LLMs stronger problem-solver

Reference 25

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Observation 40f333a2-c457-4bee-bdd8-84fe6e5cd31c · outbound

This paper cites Branch-solve-merge improves large language model evaluation and generation.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Branch-solve-merge improves large language model evaluation and generation

Reference 26

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source=pdf_text observed=2026-08-01T07:48:45.172975Z digest=sha256:04676afa4bc8ee31378cb7c963e47090c82e0586f2883ecddec5a25e1b47e184

Observation e5b428a9-1bbd-42ec-a1ec-1b3e4ebc4cc0 · outbound

This paper cites MemInsight: Autonomous memory augmentation for LLM agents.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs MemInsight: Autonomous memory augmentation for LLM agents

Reference 27

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Observation 73dcef79-7ede-4519-b261-031d8fdf9ce8 · outbound

This paper cites MemInsight: Autonomous Memory Augmentation for LLM Agents.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs MemInsight: Autonomous Memory Augmentation for LLM Agents

Reference 28

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Observation ed9185c5-db93-41b0-851c-3b413870af47 · outbound

This paper cites LLMs can reason faster only if we let them.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs LLMs can reason faster only if we let them

Reference 29

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source=pdf_text observed=2026-08-01T07:48:45.535656Z digest=sha256:1f6a0933f3c3d6bb21e9bcf0b71d09898d664fc317af589b4872ec8f36b6019a

Observation 2c93825f-6081-49df-a06a-9d24856397fa · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023

Reference 30

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source=pdf_text observed=2026-08-01T07:48:45.702866Z digest=sha256:2294b213828f139220867b7ecba37943d7f5125223ed530b11c7f36146ca90e5

Observation 502e8a58-db74-4943-8fa2-842f7a2e2239 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 31

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Observation 8f75c6e6-1f8a-4d2b-8949-e75edf01095a · outbound

This paper cites Learning to summarize with human feedback.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Learning to summarize with human feedback

Reference 32

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source=pdf_text observed=2026-08-01T07:48:46.047488Z digest=sha256:e5fe61d116fdaf1e728f638337dac20b7bb2e68876581237a31ec676a9862f9c

Observation 6c96aed5-11da-4635-8154-2e914b33fe39 · outbound

This paper cites MIT press Cambridge, 1998.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs MIT press Cambridge, 1998

Reference 33

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source=pdf_text observed=2026-08-01T07:48:46.190797Z digest=sha256:3152b9260a2f46f80409d9924cdf1187ecc87e8730286fd3796217b76ebd6200

Observation 6855b0ad-ae76-4085-8bc6-c294ad7afc8a · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 34

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source=pdf_text observed=2026-08-01T07:48:46.383734Z digest=sha256:40581f93620bc4f07402bb644e207d6abb5e95a75d62773c97453edb5201b277

Observation 4694ce5b-1e96-41b7-a084-f720f8717491 · outbound

This paper cites Gemma 3 Technical Report.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Gemma 3 Technical Report

Reference 35

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source=pdf_text observed=2026-08-01T07:48:46.540790Z digest=sha256:061f030a0765274c010a92cefd6edaac1c71004fa5a81150900624f1d6cca642

Observation c4893005-36e4-40b9-be6a-5c3632f6beef · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs LLaMA: Open and Efficient Foundation Language Models

Reference 36

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source=pdf_text observed=2026-08-01T07:48:46.691158Z digest=sha256:9d2b333bd5a8bebfa049c976aed98f26ec44072eb8794efa8e465b56044c990f

Observation ba610da4-0570-48cf-a706-208dedc31586 · outbound

This paper cites The 2014 international planning competition: Progress and trends.Ai Magazine, 36(3):90–98, 2015.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs The 2014 international planning competition: Progress and trends.Ai Magazine, 36(3):90–98, 2015

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source=pdf_text observed=2026-08-01T07:48:46.781174Z digest=sha256:8a2d6d6c4658200d14e7a4184f324bb48b778385fc434700d482a3b5df0903d1

Observation cf19cfb6-04ba-4d11-9aa5-4f6284152430 · outbound

This paper cites SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs SCM: Enhancing Large Language Model with Self-Controlled Memory Framework

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source=pdf_text observed=2026-08-01T07:48:46.937494Z digest=sha256:f93ebb5f050ef45c40951cfeb5a653ceb59454bf945b67a925175c4cbe34e9c0

Observation 0b222f1d-e7e4-47ab-b7a2-5e28eed51ecd · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs V oyager: An open-ended embodied agent with large language models

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source=pdf_text observed=2026-08-01T07:48:47.034740Z digest=sha256:a0075ab1a7b474dd0aab60a9e61a086ff3abdf9baab45bbf09a46415a7dfbcf8

Observation a29b5a32-51e3-48ec-9027-580b96d82b32 · outbound

This paper cites STeCa: Step-level Trajectory Calibration for LLM Agent Learning.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs STeCa: Step-level Trajectory Calibration for LLM Agent Learning

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source=pdf_text observed=2026-08-01T07:48:47.137127Z digest=sha256:95b7e47ce0e05cba4c89756dac299879284a75fd3a2a48f22e2ca090ff173d81

Observation 3f4b6c47-6772-4b9d-b031-427c4706670e · outbound

This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024

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source=pdf_text observed=2026-08-01T07:48:47.222422Z digest=sha256:db519926d5bc97f71172ba0e31457f4c649f290347b9a9fc9d946490ffc432fc

Observation 2bd19ddf-efe4-4308-86c9-c178eda88ca8 · outbound

This paper cites ScienceWorld: Is your Agent Smarter than a 5th Grader?.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs ScienceWorld: Is your Agent Smarter than a 5th Grader?

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source=pdf_text observed=2026-08-01T07:48:47.323648Z digest=sha256:92337691856f7ca6001b8ad70994110312e6cf6f022544f443c067d22b55b349

Observation ae2aacc9-9682-4c60-ab97-2574513b9a6a · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

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source=pdf_text observed=2026-08-01T07:48:47.430473Z digest=sha256:edb3edbfef780fa76676f95bf5bb116cf19a9beba6be51d84541d64e2ff1514a

Observation 39431389-620c-420d-9c9e-015db9adc8a9 · outbound

This paper cites Agent workflow memory.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Agent workflow memory

Reference 44

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source=pdf_text observed=2026-08-01T07:48:47.581680Z digest=sha256:43de0b22eeadee311a227bc692dfb1561633d5d8880e9810af0ef071e0daadf8

Observation c14745f7-1bb7-43ad-8b14-92a29dba151a · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Chain-of-thought prompting elicits reasoning in large language models

Reference 45

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source=pdf_text observed=2026-08-01T07:48:47.745419Z digest=sha256:fb794a7228108825b0d9788c385384df053c877cd115ff24e258106e13ee96ef

Observation 0d77b4c3-1806-47d7-bc38-9975f08ce8d4 · outbound

This paper cites Inference scaling laws: An empirical analysis of compute-optimal inference for LLM problem-solving.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Inference scaling laws: An empirical analysis of compute-optimal inference for LLM problem-solving

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source=pdf_text observed=2026-08-01T07:48:47.924009Z digest=sha256:0cbdb753b92e56d03b068bc4058274c00f5aff85e4b0db7eefd59197331c1763

Observation 3b8fdc25-31f5-4a19-b1e6-8ce2dcd71035 · outbound

This paper cites The rise and potential of large language model based agents: A survey.Science China Information Sciences, 68(2):121101, 2025.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs The rise and potential of large language model based agents: A survey.Science China Information Sciences, 68(2):121101, 2025

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source=pdf_text observed=2026-08-01T07:48:48.040594Z digest=sha256:e6aaca194c19a6a12c8850e3441fb5e4f8855248441f0237c0309a1e859371d1

Observation 2e7258e6-4ffb-4d17-bb3d-b3844aec697d · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs An Explanation of In-context Learning as Implicit Bayesian Inference

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source=pdf_text observed=2026-08-01T07:48:48.152704Z digest=sha256:c134326b78306d3e8e44ce34481331f66e2efdb8a8c60ea96e98ed8269244c49

Observation 1028f0e3-4be5-4469-87ea-59e137a103eb · outbound

This paper cites Self-evaluation guided beam search for reasoning.Advances in Neural Information Processing Systems, 36:41618–41650, 2023.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Self-evaluation guided beam search for reasoning.Advances in Neural Information Processing Systems, 36:41618–41650, 2023

Reference 49

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source=pdf_text observed=2026-08-01T07:48:48.248478Z digest=sha256:f2c787202179d003f42c682e92920bcaa3bba1c1dafe28431e1b83fedade246c

Observation dc30c000-cdb9-4981-85d5-dd539eeea4aa · outbound

This paper cites A-mem: Agentic memory for LLM agents.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs A-mem: Agentic memory for LLM agents

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source=pdf_text observed=2026-08-01T07:48:48.277284Z digest=sha256:421404ffeccca04ec8bf3e25e188189a885e0b2e89346fc1bb82dfd384988c6a

Observation 07873645-0822-4996-b215-3d27387c408f · outbound

This paper cites Qwen2.5 Technical Report.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Qwen2.5 Technical Report

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source=pdf_text observed=2026-08-01T07:48:48.376604Z digest=sha256:2a6fd2ce65e66990c6ccf5362d49f80e5778a6e17b5a5094efb4d3562f425f75

Observation 905e3f94-a57b-4bd5-b44e-d33567b89077 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023

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source=pdf_text observed=2026-08-01T07:48:48.510694Z digest=sha256:8fe2d0ded674e9072bf9df9d6014c3bcdafc12bb1eacf58c6aad7151f5384bcd

Observation ee29a258-fe73-4d0c-b1a7-42ebac690d2f · outbound

This paper cites Rest-mcts*: Llm self-training via process reward guided tree search.Advances in Neural Information Processing Systems, 37:64735–64772, 2024.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Rest-mcts*: Llm self-training via process reward guided tree search.Advances in Neural Information Processing Systems, 37:64735–64772, 2024

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source=pdf_text observed=2026-08-01T07:48:48.679017Z digest=sha256:9cbd6b7da16ab95895aaf3b2f3828be30789cee5f5640ddb2844dabe30230c7d

Observation 47f4a97d-0bbe-4cbf-964b-568ddd826b9f · outbound

This paper cites G- memory: Tracing hierarchical memory for multi-agent systems.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs G- memory: Tracing hierarchical memory for multi-agent systems

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source=pdf_text observed=2026-08-01T07:48:48.874528Z digest=sha256:fb74766a2ea654f566a773425e763d3b3e9e63ae7eab45facef218453248be80

Observation 73c7d15c-cecf-4e1c-9033-9a8cdc07bf92 · outbound

This paper cites CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Reference 55

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source=pdf_text observed=2026-08-01T07:48:49.055775Z digest=sha256:8d029f84dbbe71a337e46fb15abf1574774cbfcacc8d5e4118d0019043d0e7a2

Observation cc2c4e3d-6c73-4695-8c53-8fc02bb9dac2 · outbound

This paper cites Expel: Llm agents are experiential learners.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Expel: Llm agents are experiential learners

Reference 56

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source=pdf_text observed=2026-08-01T07:48:49.177952Z digest=sha256:05f131f8367bdad04fd0981be134fe70c44657b45a6f350394bc1288fe72513d

Observation 21a439e0-3241-45fa-a5c0-57b131ed9528 · outbound

This paper cites Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 57

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source=pdf_text observed=2026-08-01T07:48:49.328268Z digest=sha256:288ed6070fb80f49ca85b632a2a8ff68e7a9a93a4aaef53b55b21e6f7d90886d

Observation a3569287-3db0-48ae-bce1-a473a63fed29 · outbound

This paper cites Memorybank: Enhancing large language models with long-term memory.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Memorybank: Enhancing large language models with long-term memory

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source=pdf_text observed=2026-08-01T07:48:49.434409Z digest=sha256:4a11b4f04b816a62b1c7a12f9379db0d2f0019384f2ecd1d5177782add773898

Pith citing papers

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