Paper Citation Record · LEDGER

Decocted Experience Improves Test-Time Inference in LLM Agents

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2604.04373.

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

pith.paper-citation-record.v1
2604.04373 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:50:02.473921Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-08T22:14:17.838586Z

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy2
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce1b9612-b808-4486-8adb-2b4481b0706c · outbound

This paper cites From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs.

Decocted Experience Improves Test-Time Inference in LLM Agents From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:30:49.140977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd441574-349c-466e-9a42-94bc712238e6 · outbound

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

Decocted Experience Improves Test-Time Inference in LLM Agents MIRIX: Multi-Agent Memory System for LLM-Based Agents

Reference 2

Resolution: verified exact; 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 2026-08-10T06:31:04.303077+00:00.

Observation 1e0bc2b8-68f1-4928-9b20-85257fc229cf · outbound

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

Decocted Experience Improves Test-Time Inference in LLM Agents Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 3

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 2026-08-10T06:31:04.303077+00:00.

Observation b1d008fc-85f4-48f2-8d69-08bda0d226fd · outbound

This paper cites MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent.

Decocted Experience Improves Test-Time Inference in LLM Agents MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:17:24.684684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c0e9dd2-cb33-48e7-8422-727d70176412 · outbound

This paper cites Appagent: Multimodal agents as smartphone users.

Decocted Experience Improves Test-Time Inference in LLM Agents Appagent: Multimodal agents as smartphone users

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:30:49.129750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9241262-772f-48df-b6c1-52e4a5cc1dde · outbound

This paper cites A more recent line of work seeks to train LLMs tolearnmemory management.

Decocted Experience Improves Test-Time Inference in LLM Agents A more recent line of work seeks to train LLMs tolearnmemory management

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:47:16.573232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d2cbe0d-c96e-4996-ae49-b3a3cb27d15b · outbound

This paper cites an unresolved cited work.

Decocted Experience Improves Test-Time Inference in LLM Agents Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:47:16.576751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4dbc41c-4c11-4cf5-926d-3cf6a6a5603c · outbound

This paper cites an unresolved cited work.

Decocted Experience Improves Test-Time Inference in LLM Agents Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:47:16.555210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11169bd9-4ca2-42a2-8afa-7cca9d21d852 · outbound

This paper cites # Important: The strategy should be extremely detailed, covering multiple different ways to solve the problem.

Decocted Experience Improves Test-Time Inference in LLM Agents # Important: The strategy should be extremely detailed, covering multiple different ways to solve the problem

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:47:16.565065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f22f1f2f-a08b-42ec-8c93-65bab8da3cd6 · outbound

This paper cites an unresolved cited work.

Decocted Experience Improves Test-Time Inference in LLM Agents Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:47:16.544542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4962c11d-04a6-496b-a20e-6e3c33159504 · outbound

This paper cites an unresolved cited work.

Decocted Experience Improves Test-Time Inference in LLM Agents Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:47:16.586531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b0944334-f25b-45f4-9ba0-951ed446833d · outbound

This paper cites an unresolved cited work.

Decocted Experience Improves Test-Time Inference in LLM Agents Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:47:16.549214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b97bef3a-650f-456c-a8f6-377b5feec1be · outbound

This paper cites an unresolved cited work.

Decocted Experience Improves Test-Time Inference in LLM Agents Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:47:16.560012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1875b15e-32d8-4140-8ea4-92d1f4b39e37 · outbound

This paper cites an unresolved cited work.

Decocted Experience Improves Test-Time Inference in LLM Agents Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:47:16.569415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 533c3e4b-2f48-4280-ad3a-fdeb4015fa4b · outbound

This paper cites number theory.

Decocted Experience Improves Test-Time Inference in LLM Agents number theory

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-05-16T03:47:16.581121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 70c20ba3-7406-4203-a1ad-133bacb0c5db · inbound

SkillOS: Learning Skill Curation for Self-Evolving Agents cites this paper.

SkillOS: Learning Skill Curation for Self-Evolving Agents Decocted Experience Improves Test-Time Inference in LLM Agents

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-08T22:14:17.841345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.