Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T19:45:45.674967Z
Paper Citation Record · LEDGER
As of 29 July 2026, this Paper Citation Record lists 60 of 60 outbound references and 4 inbound Pith citation observations for arXiv:2603.23234.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T19:45:45.674967Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-28T06:31:03.373048+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T22:19:48.698285Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-29T12:23:24.247119Z
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2f2bbfb3-de2e-4f5d-a087-e4b32f99e44d · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Effective context engineering for ai agents, September 2025
Reference 1
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Unavailable: canonical work link unavailable.
Observation ac7e0abe-07f3-46c6-b4e7-4a75a8b8a287 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Program Synthesis with Large Language Models
Reference 2
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Observation 748a5ef3-35d2-43c0-8b0b-371007ecb754 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Evaluating Large Language Models Trained on Code
Reference 3
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Unavailable: canonical work link unavailable.
Observation 275eed90-37e1-4a97-8bb0-41309878f894 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Dense x retrieval: What retrieval granularity should we use? In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 15159–15177, 2024
Reference 4
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Observation 69a788c3-8098-4f61-bbf0-d2523e41df3c · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Lift yourself up: Retrieval-augmented text generation with self-memory.Advances in Neural Information Processing Systems, 36:43780–43799, 2023
Reference 5
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Observation 21952fc4-5b64-402b-be2f-d384af218b4c · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Training Verifiers to Solve Math Word Problems
Reference 6
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Unavailable: canonical work link unavailable.
Observation 750d2c3b-07c9-465f-ab71-56911a864275 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Reference 7
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Observation d74b2453-f1c6-42a1-89db-251c581c7d5f · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 8
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Observation 4a80a35c-1f31-4b5b-be83-7994c4809c70 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Iseeq: Information seeking question generation using dynamic meta-information retrieval and knowledge graphs
Reference 9
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Observation 78c428c7-ec9f-4959-9a13-17506cbfdfaf · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation The Llama 3 Herd of Models
Reference 10
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Observation 76ed8576-585b-4e95-b478-0ea6499e3a45 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation G-retriever: Retrieval-augmented generation for textual graph understanding and question answering.Advances in Neural Information Processing Systems, 37:132876–132907, 2024
Reference 11
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Observation 82467a78-64fb-4d4f-b246-89603e8f3e77 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Measuring Mathematical Problem Solving With the MATH Dataset
Reference 12
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Observation 4e77af6d-75b7-4f33-ab83-d9d2c3e84e83 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation ACON: Optimizing Context Compression for Long-horizon LLM Agents
Reference 13
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Observation 77ce644a-1c9e-4a13-b49d-e7d254f4e75b · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Distilling llm agent into small models with retrieval and code tools.arXiv preprint arXiv:2505.17612, 2025
Reference 14
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Unavailable: canonical work link unavailable.
Observation 4b567e72-e99d-411c-bd05-a97a06a68542 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation LLMs Get Lost In Multi-Turn Conversation
Reference 15
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Observation 79dacf38-48e8-489e-b224-2821e8d9fa78 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020
Reference 16
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Observation c5199600-cd59-4f1f-a984-9669ff68f926 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL
Reference 17
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Observation f1ad410b-9438-490f-8286-5d0ae979aeff · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Let’s verify step by step
Reference 18
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Observation bb51c875-0e88-4fab-9232-287f8dfe4060 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation An efficient framework for learning sentence representations
Reference 19
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Observation 5a8c7731-3a42-4cdd-aade-f38f652fd263 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Augmented Large Language Models with Parametric Knowledge Guiding
Reference 20
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Observation 66b977a4-7bfa-45f7-82c2-d1da47f33722 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Enhancing intelligent agents with episodic memory
Reference 21
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Observation 14daccfd-bb7b-475a-99fc-3a953f960a20 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Representation Learning with Contrastive Predictive Coding
Reference 22
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Observation 04420cf3-35d2-45a4-97b8-8b0457d8655c · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
Reference 23
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Observation fc886ef0-1db2-4142-a261-8ee8e7ea1117 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Memgpt: Towards llms as operating systems
Reference 24
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Observation 7d88d616-6a8a-458d-b465-ed5fbf2efb3f · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents
Reference 25
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Observation 3febb551-2575-44d6-9c4f-56bf294fdd9f · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation A theoretical analysis of contrastive unsupervised representation learning
Reference 26
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Unavailable: canonical work link unavailable.
Observation 9174d805-5789-424e-a32b-bce3cb741422 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Large language models can be easily distracted by irrelevant context
Reference 27
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Unavailable: canonical work link unavailable.
Observation 48ed72c4-fe32-4e48-902b-fb6809cbff8c · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
Reference 28
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Observation 75afdc77-c20f-4d55-abac-5c9f6c091863 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Qwen2 Technical Report
Reference 29
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Unavailable: canonical work link unavailable.
Observation 10b247c5-11a6-496e-9a05-b15000762200 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Appworld: A controllable world of apps and people for benchmarking interactive coding agents
Reference 30
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Observation 688f78a3-b719-4380-afb7-73a75456f0e6 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Learning to retrieve in-context examples for large language models
Reference 31
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Unavailable: canonical work link unavailable.
Observation b541e8d0-a1a0-4187-840d-a282deb2bf4d · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation A-MEM: Agentic Memory for LLM Agents
Reference 32
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Observation 466fc1e4-6e95-47f0-889d-18e02326c2b0 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Corrective retrieval augmented generation
Reference 33
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Observation 65ca5fe7-e6f9-465c-8677-eb0d04f7b938 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
Reference 34
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Observation 02803c80-031d-42ce-94dc-4a831de863ee · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Buffer of thoughts: Thought-augmented reasoning with large language models.Advances in Neural Information Processing Systems, 37:113519–113544, 2024
Reference 35
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Observation 1fe4c723-a5f5-45ce-9755-d51b6a0ec872 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
Reference 36
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Observation f270c882-97cb-4d7c-82d0-a34cfcdf9a3d · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Generate rather than Retrieve: Large Language Models are Strong Context Generators
Reference 37
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Observation 12770833-bb3e-46cf-8546-3664dea38226 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Chain-of-note: Enhancing robustness in retrieval-augmented language models
Reference 38
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Observation 67472a1a-77e5-435a-944c-bd370f49f0de · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
Reference 39
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Observation 9d230b5a-6b44-4037-9473-d018ac14e02e · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation A survey on the memory mechanism of large language model-based agents
Reference 40
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Observation 2619dcee-52dd-47a6-845e-96ff0a0bc814 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Memorybank: Enhancing large language models with long-term memory
Reference 41
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Observation baad0e77-6921-462e-b2d2-17f564ea1fff · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Reference 42
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Observation 087d5af1-b20f-42e8-94f4-81655c0a559f · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 43
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Observation 9646226b-a69d-4386-a010-06771ff42950 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 44
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Unavailable: canonical work link unavailable.
Observation a3757f76-ff70-4eb2-bde8-abe605915218 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation For programming problems, provide base classes or interfaces that can be instantiated to solve specific instances
Reference 45
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Unavailable: canonical work link unavailable.
Observation 9b20e79e-2414-47ea-b26b-3529b0273e20 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 46
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Observation b3592621-a4c0-40a8-ba4b-e0a21fc30ace · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 47
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Observation 2cdb6443-5e21-4a33-a1df-1e6166f40640 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 48
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Observation 1c66b283-498e-46c6-a99b-2b21973c5520 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 49
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Observation 873f439d-089e-4bd4-9afe-4fd4069956fe · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 50
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Observation d40bc341-634a-4a79-9b87-dcfcff7a45c5 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Table 17: Prompt template for single-model reasoning extraction
Reference 51
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Observation 0a7bbccd-db06-43cf-bb82-0cc2c7232ba8 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 52
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Observation 276dba8a-b880-400d-b27d-f1c8672ed0a9 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Each extracted strategy must combine: - a trigger (when this strategy should be considered), and - an enforcement rule (what must be enforced or avoided)
Reference 53
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Observation 41f7be21-d241-4b8c-927d-909041e2de81 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 54
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Observation 18f42023-14d9-47e3-8833-854811a7bdc2 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 55
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Observation dc367e29-3855-4998-96e2-5b388dd2410f · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Your output must be exactly one subcategory from the allowed list
Reference 56
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Observation d32576b1-ce21-433e-ae5a-10997f917d09 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation You may NOT output “None”
Reference 57
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Observation 10e0ebbc-9d95-46c7-84aa-0dfaed8d3d22 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 58
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Observation 273f6882-6467-461b-adc9-d70e0f1b3a99 · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation Unresolved cited work
Reference 59
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Observation 31d52a82-c866-4689-94ca-c338d3741f3b · outbound
MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation These rules override all ambiguity
Reference 60
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Observation 9e08c8a6-31d4-4268-91a2-633be7bc6341 · inbound
System Identification of Lithium-Ion Battery Equivalent Circuit Models Using Ensemble Kalman Inversion MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
Reference 9
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Observation 140eabc1-fc91-407a-9295-fee7862f50a5 · inbound
MeloTune: On-Device Arousal Learning and Peer-to-Peer Mood Coupling for Proactive Music Curation MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
Reference 4
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No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation c387b817-be1a-41e6-90e7-bef9efcf5cb5 · inbound
Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
Reference 17
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No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation ce5d4d22-76f4-41e9-bb08-624d12b663e4 · inbound
When Does Memory Help Multi-Trajectory Inference for Tool-Use LLM Agents? MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.