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Paper Citation Record · LEDGER

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

As of 2 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 2026-08-01T06:32:01.292127+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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:8928ac2a2252183dbc7bce826ed5c5def83bd1a57f4dac05d1fb037eff4d04c2

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:2b37e8aa7d0ef31b0b79e948958f6d28725746658e4549378963b6dfd04b897b

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:29eaefbaf8bffab97e620d9e63ba19ed9ad66bd81b0e4871ce1bd5ce107c7d80

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:725345bc4c81b63cf98e3ca7e068a5a676064b0f5b243f4a0a0d926ecd77fff9

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:7a807e484b007c3f6b266b22aeee6ef1782cfa9462aefd9ae16adbbb7485f62f

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:ce214601075812c026692696613304724f40245b60751d5955dab67a6886652c

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:1ce4c31fc7ac16a996cbd44ae695deefdd636ff89b0571ad65dec9319850a1f1

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:b279375ae63cbef920321a9afc165f918307620bbe2229217042df6663872cac

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:3eab2e2094e0f8d9f4b05b1b715d6740a3cd8c4af3ee2162fbaa0216213b3075

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:1d8ded5fba77f721c8d4addbf0b9293d0428df5c4b5799b77272c5ee304fc3e6

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:5a7996564817a9b1ac9c87ba0de2de9de43db74f101af36e24b97d360657772e

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:d15d75ad187d3c37173d50ffa15e1d59bfd6f5440c9ebb7aa84acab05e4e6163

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:9e68ae89341386daa93caad8b8e63b95cb3ebca1fc82f1ee879987337848305c

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:be2efcb5fd641fe3a27b980ebeb1f35c1e0e8de02c31d03e39f9c62eb415e7b4

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:61bb349e21242362672840ca07793765afa9bceccca4e86030a1f2bc2d6dd0b5

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:cfac88ca080b4277b10e41ca3c237ec69279e419ddafc7683c25f39725d2ae81

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:2a834be9e350d5730365be8ba880c618080a9b146534ceebe664a654de687083

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:f05497a1d0d715ffdeb0bd53ad53501095a860d942bece81cfdcb005d399670a

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:a3f82030e77354ce7148b03e4947baaf566d5522eae8b24a926401fb31fafbdc

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:8dda6a0282425c57efe345c47ebf4ee8b6f39268b8465ed3d51abdf2c6d88a27

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:db30c0ab5a28ab2a0373b8f13188d17d3e019dc073d920c43804b37000d4dfa3

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:05e2e08846d86b7ef8b2c9b869dc707d5ae728b7f4df999f0e9b0b6c68d1b0f3

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:373fff45e7082f313c8694190d8495e691237f2f371c20691bace84fc81e410e

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:70e504ab0fc6293939ecf240e80f04fc1639c2d6afd243ea147bb2112628d527

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:69b8cedcb3db5db9a2d2b04525a1854e41a33e295d0d3a59032fa97c54d33bbd

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:e23c41884148652959107eedd5302eaef1112554b2d84c769b95e41edc5f980f

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:7b3f5c9acb3c5b2c5d9cf54456ab4656e230568e5a6a62b446d3c9580bda1f07

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:25d1e8274fa6c3c6d2a168b4323ab8cf617cf29ce54bb896dafc64520481226b

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:62319bfa3bcbcdee51984438e18843314dae41017658bef59bf4f15feaccf88b

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:af956e6eed60bdc899c82fcca3a121e8fcdc8c47ff2697add2b6f12721edb45c

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:e20e37456968f36e3ebce13bdd1fbcfcfb2cb0a7f98728e296fd8306d66ea584

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:02245bb1db3a9c9c47ca97d31f8177dfe966f8b0dfa1fbd12671749cc9517d76

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:56ecac55a44fd324b86afcade5b5887e93ffaefb07931a13dfe650771a08e4ac

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:f2fc98bd5e2a2c1f6a98a15de84b460024ec860fba5c70b8cf727e186a9fca62

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

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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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:8018bb9f06aa073e6f2be2543ae11926e061b6a43e0c2da3a2223a03085b3a8a

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:e56088fe5b1067fa9775edf4f00cd535ef8bef9d68e93ba9bb7fb98930cce93b

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:475c0a458842d6ad27b546a016344b2f682b44c1ab014b4c3d034583da3c8a74

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:0043c72adafbad50c0cd1c5963d5d00b2f0a75698c952e0d1b61f0f984bfb4a5

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:b4e1f0b2825d162c202e5d22124eb1ae592ff27bc8dd87e64290acaa46de39f2

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:d158fac0eec4cb5d5b7fa81db781fd3120d6db2263946d2a244b7a63b8dae7b2

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:a1378b663d509cde6c14a385b20bb64cb5e86cced5029e6638bf274e74fac136

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:0849bdae49cc67bfddc2a19cd862d32730a2f94acf52adba67a9a188b9e6cf85

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:0ccd7092c03082ecc11e56aebc6ec22586012e9e621efaf50525c59a65168602

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:e86e15a98ca8c0c3abb4fb7e75abd29cc19c881f6563ce586c444453fa68d49f

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:bd3820ac3adf947c124d97268495ba9f08ee5db83bcbf438c7fa8fb684aae8ff

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:1cf00b1cd962ff18158a2f56ed9b35ccb1f78059a7910991a4d1f29230719fd5

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:a720ccbb0ca78a95731e630449193c85f5884482e736bca81c1d78b9c08f4120

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:de0cee88e63a74b11393549929b8cef48c97aa41b5e9de0a13eb15477eb17db8

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:4c05f87f9d46b96622d551dbc5bfbab34c22200bad10327c2b1c4f8bedc5522d

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:d5a621d1ae511f5c47dd8a1fe7e436e44a5ef302140ac0bd1cad2a587842fd50

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:59058c9893160c5ad224de671308ad004660642fe437bdda22c9d2cd762beac1

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:36d05cd25ef54a6b1699cd1dfaa7f1a3825dc2407fdadee7aaea8234bd33dc36

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:771eeee3dda3132e26946506564f91023f3bff909d2933a693312ca329f4a84c

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:6b905f72472fad63a2b8198794762540bfa6b74ec7b67bcee948febcefd534f6

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:b0c5355d595edd6b2a844f5893fae8d4e294c899baadaa38769fdd21ae83c234

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T16:53:49.246174Z digest=sha256:bc534026725056a756835c7b8418dc9a54f090dae48302ab6141e0adbcbe4f3d

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 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-07-09T00:00:16.332534Z digest=sha256:9570ca90bee238e75644553b4ebafcd0154dd8318be824202adfa7ae39c11a79