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Paper Citation Record · LEDGER

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents

As of 4 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2605.03312.

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

pith.paper-citation-record.v1
2605.03312 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T16:53:49.246174Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T00:00:16.332534Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T00:05:48.065501Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact22
  • verified fuzzy25
  • unresolved1
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aee0514-6275-44dc-88d2-87b5893aa5fd · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.101482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:120efa45734059696efa9b75bef93179abe0f469a29a6bd8b7f94dc556f8e0f3

Observation f205363c-05d6-4879-97e7-b2fc74618609 · outbound

This paper cites Introducing the next generation of Claude.Anthropic Blog.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Introducing the next generation of Claude.Anthropic Blog

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.466988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:b722e2006b75a7ea6ffc5fd6b1626207c1e51c6bf9beef38f6fe249343f5a98d

Observation 27265564-e64f-4d0a-a3d1-36a3d0e4db9e · outbound

This paper cites Self-RAG: Learning to retrieve, generate, and critique through self-reflection.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Self-RAG: Learning to retrieve, generate, and critique through self-reflection

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.483045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:f45be06b275a5e39d705e01fb604d46aa2135633b56b219f854733c2ac981f6b

Observation afe234ce-0949-42cf-83b8-30ae63c434ad · outbound

This paper cites LongBench: A bilingual, multitask benchmark for long context understanding.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents LongBench: A bilingual, multitask benchmark for long context understanding

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.485910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:5ed8b2b09a4c225206f552a4ce044ba082040808e0ed31de5e7d7ed85131d00a

Observation 4f2f9574-70f9-4e79-9ea8-1871c323d22f · outbound

This paper cites Longformer: The Long-Document Transformer.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Longformer: The Long-Document Transformer

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T10:46:32.147765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:c0a32d878bede7c598484e4353e7089252e16108eb9a4883ee5378eeb759d172

Observation 89586d6b-73e7-49fc-8224-20ea735c9663 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:30:03.293701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:5059f0a4130640fdee9ab3c928163ca4484449610622feb1def0810304a3f7f3

Observation 712105c2-4d4a-43d7-8876-f74a57c9ae7c · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.127762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:50f0c0f3a85415ad5dcd68559f13a92d515d5fe388cdd441c9c7045f4885db9f

Observation 8414026b-26b6-48f3-8780-ae01a8873a9d · outbound

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

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.122746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:3f7b6c315e278870435db5b79ed1c18c622b125913a334633aaf15a014e8d148

Observation 4d4cee7b-f818-46d9-ba10-18d2048d8944 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.476402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:176ab6b1e77be7e99c7b7cd9c0006aff8685342bf0d919dd71e4a12662b342ed

Observation 8980f694-0868-48f2-97c3-d6a9772a3042 · outbound

This paper cites MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:32.018474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:fcfb5029595bfc6bd0e66939d76e5b4a9585a2abcb72c16190678fcbe7fa31b9

Observation 14facbb9-a96a-47e6-b860-a8511f9dced9 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.143121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:da2fe1d86608b08e86b2d1d3b3abf0b6bdc471b0574ff78a7c242d7c3b999c70

Observation 30d64b2e-57e6-4234-9157-2a574ea8fb8e · outbound

This paper cites Tool preferences in agentic LLMs are unreliable.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Tool preferences in agentic LLMs are unreliable

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.460215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:4dfb54bc84107b9e33b0b3cde97f2127ffbca4c7223088d007d644c036d3b263

Observation 9d34048d-abc3-4edb-9ead-6763febfea3f · outbound

This paper cites Gemma 3 Technical Report.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Gemma 3 Technical Report

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.023595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:7a13bc4573f950e3f8bb232ce7661a37c31b97b96bce7686fa3443bc89d87b0a

Observation 93ecb1b8-ea0f-42c8-b8d0-b06d2a6efa89 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Gemini: A Family of Highly Capable Multimodal Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.133050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:16def27460a2792aaf7702a5f47cd553a2f46f66c6d0f42b82364b83efdbfa2a

Observation 9f24f6e7-d77e-46ac-a14c-af40297cf441 · outbound

This paper cites The Llama 3 Herd of Models.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents The Llama 3 Herd of Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.137964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:3146a71eb1bfadc3ca7df82c17602b5573f13601c09a3695682bde0e706605e4

Observation 05a84424-8db9-4b6e-820a-4a8c95f97b74 · outbound

This paper cites REALM: Retrieval-augmented language model pre-training.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents REALM: Retrieval-augmented language model pre-training

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.473128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:9127f6a2482f34d1a62c9c2ecbc7d037e6a66ede950e196b0f8bb317eb4efe0b

Observation 5e271c15-41b3-4fc4-8572-51802c9be218 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T13:21:17.719023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:19d585fc71af892b2ce5cfafe11f750dca06461564ce39926258f1fe67589536

Observation 7808892a-3bad-404e-95e9-9f6489dca3dd · outbound

This paper cites Leveraging passage retrieval with generative models for open domain question answering.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Leveraging passage retrieval with generative models for open domain question answering

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.479665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:282144ac59db9f79ceb33195b01248e24215ed0d94de7c6bcfda596d4f46c719

Observation 7049617a-223a-499c-85c1-b0e606c0c326 · outbound

This paper cites LongLLMLingua: Accelerating and enhancing LLMs in long context scenarios via prompt compression.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents LongLLMLingua: Accelerating and enhancing LLMs in long context scenarios via prompt compression

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.488662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:538dce0bb18606fc2422fabdbda5129867557533d51de538853e543feb1ee9b4

Observation af22d9c3-a424-43e2-865e-8d6fde01b7e2 · outbound

This paper cites Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.492561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:ef2deb5076b870138cc9435f0037592ec7014b65bf59983cfc6119c9720eefe1

Observation 93bcb212-6b89-46c8-91b8-e6ceea2c188d · outbound

This paper cites Dense passage retrieval for open-domain question answering.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Dense passage retrieval for open-domain question answering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.495648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:76a1fbfbcba2d3f85c0349d9cb14caa7365dd1c8a2a39dd27f3837e1414a7f83

Observation f815d1a7-82a9-4409-b309-9ade6e0bca8e · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.062110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:541db425720d85a6d63b25e33f20650431fb2186843cb5b273bdb013f9e4c65e

Observation 85360f87-d15e-4622-8840-3d5753507ab0 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.469830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:2f73fe963ebb48efef601bc55a52f083a65926b861d3f0d625783e67e8830f92

Observation e245aeca-0852-44c5-b129-880a019248c2 · outbound

This paper cites MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:32.074848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:dfb1f87ec97ae271a20fbe56ee8595c0b793628bf219555c39b804329f56b388

Observation f736bbfa-2519-499d-b95a-0dad06ce0850 · outbound

This paper cites Evaluating very long-term conversational memory of LLM agents.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Evaluating very long-term conversational memory of LLM agents

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.504029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:e2eab87cd31f7ae771fb386838467a8a2d2beb1825945f5becc6370579292fe5

Observation 0fd45fc4-4364-4249-9c53-50d51621595c · outbound

This paper cites Query routing for homogeneous tools: An instantiation in the RAG scenario.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Query routing for homogeneous tools: An instantiation in the RAG scenario

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.476649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:f641351c2d2538b93e972dcc88b1990aeb502e5b2dbd7f68d664d0fa220f8008

Observation 10b06da6-4a3c-41d6-a23f-5fc7d937769f · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents RouteLLM: Learning to Route LLMs with Preference Data

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.157135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:c6e2ba7307a0973616b6aa5fa7d20021c1ec9facc0dd6e7ea58ed13c92acc576

Observation f285568b-5805-44dc-9ec7-bbdaab90d360 · outbound

This paper cites GPT-4o mini: Advancing cost-efficient intelligence.OpenAI Blog.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents GPT-4o mini: Advancing cost-efficient intelligence.OpenAI Blog

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.501505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:b32e7504117dbf684f14a32cff6958e89613345b29fba6423e449ce9f8079c08

Observation 88419d75-5f0d-459c-b22c-28a94fc1a086 · outbound

This paper cites GPT-4o System Card.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents GPT-4o System Card

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.152471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:25024f7c4f04a5582d6aeb0350bd99a3b1fab09d2c883680635d6f63e50653cb

Observation e740e2f2-a027-4b09-9d97-2b3d699dee35 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents MemGPT: Towards LLMs as Operating Systems

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T10:46:32.090521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:1ae3d99abee31dec2c911418267365be36daf20881fa784bf77e628da8d581bf

Observation 78d4b9f3-42b1-4679-aac6-58b3b257a9c4 · outbound

This paper cites Vicky Zhao, Lili Qiu, and Dongmei Zhang.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Vicky Zhao, Lili Qiu, and Dongmei Zhang

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.480010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:3ab6397710c4d69f5873993abdf4f0c9b6f1ef327ff6a1f49fee38e175aab3ce

Observation 7900c3d0-6a20-4fe0-8491-3c94711cde3f · outbound

This paper cites O’Brien, Carrie J.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents O’Brien, Carrie J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.498562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:7a38c9f67e35f8e8edbdc619f546fc35cebce0f46d146338fa0b1949f39c5ad9

Observation 1b0cd608-f0b6-4f77-8459-ab4ed7dcf4be · outbound

This paper cites Engram: Effective, lightweight memory orchestration for conversational agents.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Engram: Effective, lightweight memory orchestration for conversational agents

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:32.041241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:69f9dce07fbd57b71ac54a362f429acb76f3a5fa18cf3c06b3fcc1cc0a3dba6e

Observation 08461ad5-8cbd-4354-9c1c-774d504c3d52 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Gorilla: Large Language Model Connected with Massive APIs

Reference 34

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metadata mismatch
local_arxiv, observed 2026-05-12T10:46:32.057466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:7017237d0a42eeb4841205ecb1b567c67bd1b4e66050110648ca0d82975f72d9

Observation b7be82dd-6ed2-4085-b990-39aae33e55e1 · outbound

This paper cites Qwen3 Technical Report.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Qwen3 Technical Report

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.117521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:64f31e32d8d52e6b0f3b8533c155b8c0bf4f984738201a64a321c5190ce29a3e

Observation 600c42ba-ec66-4eec-97b6-c6b19dfe7151 · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.052561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:7b14ae9851cfee8761022671749a672764a7e3f9926c2309d65ed331f7052a88

Observation 9788e6a9-8312-440a-b2d3-0e006353037f · outbound

This paper cites System-1.x: Learning to Balance Fast and Slow Planning with Language Models.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:46:32.095911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:fec1ca87cb0865b11f568c900568704322ff7e5b5848b52ab2e3f7635f375255

Observation 8723db5a-1205-4baa-b31d-5d343dcec523 · outbound

This paper cites ColBERTv2: Effective and efficient retrieval via lightweight late interaction.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents ColBERTv2: Effective and efficient retrieval via lightweight late interaction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.489009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:d55994fbd0263aeb26e549e6b9748c653f68b23cca521a2117a0f8e45d9721fb

Observation 689a91df-206e-4427-b0a3-2da77c006858 · outbound

This paper cites an unresolved cited work.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-27T11:19:05.486217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:929466ea8f963d41aaa2ba9efb7f23f64c15125b2a9776ed3aa251f7aed34a68

Observation 1f74a4f5-f456-4e2a-8948-f11c1f0bb745 · outbound

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

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.106493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:494928a4666c8687b24cd067a9ae5b7c6c7b28663d33abafca42f4738c746e0e

Observation f0c47b13-3fd3-4e0d-ad46-5f699dcd85c8 · outbound

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

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.007113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:c0054fd84d26b9183ea688cc591dbe3ef27892aa1e1d11aa85b74b2bfbc233f7

Observation 0911fbdc-8cf0-4b94-97ae-46526865d969 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.492840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:9ecc968b55b00d8b93d4c1dc6075ccf6e975645bb15f844021dab788f99ef5e5

Observation b753fd76-2c79-4ae6-837c-5cc7c6a962ae · outbound

This paper cites LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:32.111986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:1e2f86bec1a1b9a6eae7ff2146ee9d909cb2ea8f101b53cc82b99ff0bbdb95e5

Observation e060c3ab-ddab-41b3-8953-4b833e1cd4f9 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T10:46:32.085366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:53cc77e9137bef7aad37628f9e9f7dd82443209ca5e0bae1e28d402bd4be99aa

Observation c288541d-dd73-498f-9992-c45529eb486e · outbound

This paper cites Corrective Retrieval Augmented Generation.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Corrective Retrieval Augmented Generation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:19:17.396474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:465732d1381d06ce398d08dde3f4135570d08c98cc3552081a19bc5f180af573

Observation 723c395e-660a-4cb0-ac8f-cb7e3be13b7d · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents ReAct: Synergizing reasoning and acting in language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.446804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:564747093ed0ca5b75573a28e79ed9da6099c3fdd861316b72a92da6a296f942

Observation f56b13bc-e113-4141-a0ca-b7c4b5678e59 · outbound

This paper cites RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:32.013279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:d87d15255a0a098fd1c998c7804b30d30cac17451df7b13a92e5eaf0708ac907

Observation b57f1bf3-0959-4be2-8e05-810fb01432ae · outbound

This paper cites Big bird: Transformers for longer sequences.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Big bird: Transformers for longer sequences

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.496174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:83e914775554acb46afe51dc42782b1cae29395f592ee3c5551fc812a4b9ff8a

Observation 87d16640-6076-4f93-81bc-7ca063b7b2ec · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents RAFT: Adapting Language Model to Domain Specific RAG

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:46:32.069369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:3dc59b3962356f25f2a688ff371718792110a703519eb198243214051d94bf81

Observation cd9247d1-c406-4048-9176-c1056963c575 · outbound

This paper cites H2O: Heavy-hitter oracle for efficient generative inference of large language models.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents H2O: Heavy-hitter oracle for efficient generative inference of large language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.498896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:0cec3e68bdca04cf4e50c7557690f5e04e29f16d4cdad643dbd1598578078399

Observation afa8906e-e503-433d-94a1-f6489127ded7 · outbound

This paper cites Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.501200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:f8364f412dbfb9b8dc1e85695bc8318d874b535133425fe55b7b53c41a57e6ef

Observation 40061929-31f7-4d0d-914f-a6a356cf672d · outbound

This paper cites Revisiting pruning vs quantization for small language models.Findings of the Association for Computational Linguistics: EMNLP 2025, pages 12055–12070.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Revisiting pruning vs quantization for small language models.Findings of the Association for Computational Linguistics: EMNLP 2025, pages 12055–12070

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.456768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:d722a138e09203f612f8c8883e4887e4c18fabb27f881246f77379b018a41726

Observation 00bf43ea-8607-48ca-9ce2-1bc03dcc4ef3 · outbound

This paper cites MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Reference 53

Resolution
malformed identifier
arxiv_id, observed 2026-05-15T00:27:37.600084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:72a22686c882f964b3cd67cfb7bdefed89eb56df7db984b3fd6e7721173eada9

Observation ecdf0ffd-572b-40e8-8052-ae1196b097c7 · outbound

This paper cites not found.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents not found

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.466753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:412731b14b3eb2e5fa04d0efd237c32d9d77c7b99bf25947251103d79bfebfaf

Observation 3aa063f9-f167-4409-8ef8-45f57ddd4524 · outbound

This paper cites 5”,“21 days.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents 5”,“21 days

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:05.437719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:e48f583f22ea31559724f9c6ba3cdf3915ee5e6241aeae70ea68b4f441451784

Observation abec116a-1eef-4faa-a3bd-a7860aaea690 · outbound

This paper cites Session depth.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents Session depth

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-05-27T11:19:05.460662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:9b1d3ea1754e3b6c728bbdf60e28edd79e72036312009e7b8655529dff11eadc

Pith citing papers

Observation bb52fe2e-9b68-4d82-b320-61cf94259c91 · inbound

From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space cites this paper.

From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-09T00:05:48.066748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-09T00:00:16.332534Z digest=sha256:2a810ff27288bb4925b4127d7728d29fcfb49eb359d0b7e6fe8b681c889494d5