Paper Citation Record · LEDGER

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents

As of 5 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2604.27283.

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

pith.paper-citation-record.v1
2604.27283 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T08:03:11.421470Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:16:42.111892Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact8
verified fuzzy9
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch13

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e66ee93b-bbe2-4223-91bb-90aad6cccaa6 · outbound

This paper cites A Contemporary Survey of Large Language Model Assisted Program Analysis.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.233490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a31e5324-0fd7-4c10-855e-6ff5904fdb05 · outbound

This paper cites From code foundation models to agents and applications: A comprehensive survey and practical guide to code intelligence.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents From code foundation models to agents and applications: A comprehensive survey and practical guide to code intelligence

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.216873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 64bb1dbf-6115-435d-862f-704a02a25a72 · outbound

This paper cites Agentic Software Issue Resolution with Large Language Models: A Survey.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:01:29.870728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7f391aa9-5d20-4776-8c0a-c1414f461956 · outbound

This paper cites arXiv preprint arXiv:2603.05344 , year=.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents arXiv preprint arXiv:2603.05344 , year=

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.253697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 869696a0-9b54-4c23-97af-4d6d031b6dca · outbound

This paper cites Memory for autonomous llm agents: Mechanisms, evaluation, and emerging frontiers.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Memory for autonomous llm agents: Mechanisms, evaluation, and emerging frontiers

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.246900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation decc45f5-89c9-441f-af7d-ab37c19c6851 · outbound

This paper cites MIRIX: Multi-Agent Memory System for LLM-Based Agents.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents MIRIX: Multi-Agent Memory System for LLM-Based Agents

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:57:52.839654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6cd25c80-2d1c-474c-b93c-92c52b534e0a · outbound

This paper cites Empowering Working Memory for Large Language Model Agents.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Empowering Working Memory for Large Language Model Agents

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.281183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50d8f452-e968-4912-8d2b-6ea24e9dd90f · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:55:54.660411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 01c7e2d3-b2d2-4c58-8d47-6a0e92d4200f · outbound

This paper cites Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T10:06:27.261664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6df29e2-d8e0-4e13-8c36-63432edfdc5a · outbound

This paper cites arXiv preprint arXiv:2411.06207 (2024).

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents arXiv preprint arXiv:2411.06207 (2024)

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.299530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 020f3403-6669-4953-8cf9-9fb0fadf9c13 · outbound

This paper cites In: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents In: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.184271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc5f3768-5276-44b2-a27a-0370222097f0 · outbound

This paper cites ACM Transactions on Information Systems (2025).

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents ACM Transactions on Information Systems (2025)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.171262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b36c6afc-fbc6-4280-9848-28d998200df0 · outbound

This paper cites KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.184944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3123a09-d2c2-4eba-bccf-7e81eaedc1b7 · outbound

This paper cites In: 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER), vol.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents In: 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER), vol

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.221158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc1cdb45-d5b6-4913-b826-7536baa61706 · outbound

This paper cites In: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents In: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.166218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7d75b68-945c-4d38-b9a3-2cf69c1f7ee8 · outbound

This paper cites Software Quality Journal33(3), 30 (2025).

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Software Quality Journal33(3), 30 (2025)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.217031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22e1748f-2485-44df-a37d-a5b9df124fd9 · outbound

This paper cites Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.288258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d838026-9e44-4a09-b258-7d0a33c4bf45 · outbound

This paper cites Supervising the search process produces reliable and generalizable information-seeking agents.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Supervising the search process produces reliable and generalizable information-seeking agents

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:02:48.394837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80cf9a1b-8a49-4e10-b202-0f85bf93f255 · outbound

This paper cites Initialization with Forced Diversifi- cation.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Initialization with Forced Diversifi- cation

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.306092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99ac0f51-b1eb-4a8b-a3d5-8e9c67b9d998 · outbound

This paper cites arXiv preprint arXiv:2601.06922 (2026).

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents arXiv preprint arXiv:2601.06922 (2026)

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:29.875934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c68f9d31-1b88-4d83-8832-e8763a91ac60 · outbound

This paper cites arXiv preprint arXiv:2509.18167 (2025).

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents arXiv preprint arXiv:2509.18167 (2025)

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.195111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc5ef5f8-8442-432d-8f20-9dad3de0420f · outbound

This paper cites In: Proceed- ings of the 34th ACM International Conference on Information and Knowledge Management, pp.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents In: Proceed- ings of the 34th ACM International Conference on Information and Knowledge Management, pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.226003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a9835e0-57f1-46f2-aa5c-3bf2ed3a0b26 · outbound

This paper cites an unresolved cited work.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-27T09:13:52.175448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9a848ce2-fe94-49b3-85ca-8231fef35229 · outbound

This paper cites Advances in Neural Information Processing Systems37, 50494–50527 (2024).

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Advances in Neural Information Processing Systems37, 50494–50527 (2024)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.179767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efc27f95-b7ed-4c3b-94b6-3ee72f02b5e9 · outbound

This paper cites Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.268392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 45fd1422-7422-406d-a093-040634aef970 · outbound

This paper cites In: 2025 IEEE 12th International Conference on Data Science and Advanced Analytics (DSAA), pp.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents In: 2025 IEEE 12th International Conference on Data Science and Advanced Analytics (DSAA), pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.201727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 558c7599-e45f-494e-b4f9-d03299cc8853 · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T09:13:52.212696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16dba2ff-ddab-4fd9-9acb-e7d1f52d377c · outbound

This paper cites I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T10:06:27.226538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16de4b15-7024-4e24-858a-056d31b985b3 · outbound

This paper cites Contextbudget: Budget-aware context management for long-horizon search agents.arXiv preprint Conference’17, July 2017, Washington, DC, USA M.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Contextbudget: Budget-aware context management for long-horizon search agents.arXiv preprint Conference’17, July 2017, Washington, DC, USA M

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.293634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81e5b188-8c1e-4fee-9b55-09a35616aacc · outbound

This paper cites arXiv preprint arXiv:2411.08891 (2024).

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents arXiv preprint arXiv:2411.08891 (2024)

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.209812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cca02f59-1682-4774-a038-27dcec31cf1f · outbound

This paper cites Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T02:04:46.491399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation f38068a7-e067-42f2-8516-ed08db3d8f06 · inbound

Memory Reward Inflation in Self-Improving LLM Agents cites this paper.

Memory Reward Inflation in Self-Improving LLM Agents Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T02:16:42.111892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.