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Paper Citation Record · LEDGER

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents

As of 4 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2605.00356.

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

pith.paper-citation-record.v1
2605.00356 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:48:28.975899Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:41:53.711740Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch19

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7105fa18-4ab3-4f46-91f3-535e00b80480 · outbound

This paper cites Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:09.791910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:93fca6a577bf718cf0460457817c99bce56426a5a7727efd81073e76c0782f78

Observation 198c28d7-d6c0-4c68-ac09-abcfaec29c6e · outbound

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

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T15:31:09.832737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:b9a83b65665bbb8f8b9455f5fa0ad2b942b83bbda8f5753fc2b8da69f1537f88

Observation d48bca09-bfe4-4c4e-9312-6e5870ab9c73 · outbound

This paper cites Memr3: Memory retrieval via reflective reasoning for llm agents.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Memr3: Memory retrieval via reflective reasoning for llm agents

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:09.155337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:c691abc5fe4a2409327c138130ea08d2c4a717559c645e27aed4eca58a58ba5b

Observation 71cef36b-534c-4f8a-9f84-e72c466d4ef1 · outbound

This paper cites H i A gent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents H i A gent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model

Reference 4

Resolution
metadata mismatch
doi, observed 2026-05-09T19:50:54.225175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:b349cb6e05eaad9eec92bfdb2ac169ba4a4faab052d3cacfad81829f900a5f1e

Observation 26a0df4d-5d64-4e02-88ab-5e10c518ed88 · outbound

This paper cites Memory in the Age of AI Agents.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Memory in the Age of AI Agents

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:18:21.315840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:fd620375940cab1d8b1d8a63f05da53555973d5c01efdfa88dc945efeedbcfa9

Observation 73518c09-2e6d-466b-ba68-b198b650a850 · outbound

This paper cites Hello Again! LLM -powered Personalized Agent for Long-term Dialogue.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Hello Again! LLM -powered Personalized Agent for Long-term Dialogue

Reference 6

Resolution
metadata mismatch
doi, observed 2026-05-09T19:50:54.229796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:84b625d792ab0a505fa484ec9fe1c841b0c59b5b0a7dc6715e3b817e0a014dec

Observation 745dba2f-133a-4ef0-b40d-7578a0dda234 · outbound

This paper cites RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:09.367704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:8a71aea5794641fe4db0846f687ec3543b1ad776a8c09ed114bc349a725b8ec5

Observation 31b9d7a5-3db0-4b19-a87d-6129bbf8cd66 · outbound

This paper cites Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:09.706260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:125fcc2d0ee973705f3df9bfe9eddcb35d3378c7e7ad9d177eb321f06d74e328

Observation f54e7a5b-25a9-496b-b631-3c0443292b3e · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Evaluating Very Long-Term Conversational Memory of

Reference 9

Resolution
metadata mismatch
doi, observed 2026-05-09T19:50:54.227571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:d563b4735fc80e57284ad1f801cb292105f630f83271dae034186dccf0de83df

Observation 2fce42df-0920-4fa7-b35d-a514093d3220 · outbound

This paper cites What Deserves Memory: Adaptive Memory Distillation for LLM Agents.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents What Deserves Memory: Adaptive Memory Distillation for LLM Agents

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T15:31:09.667373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:81efc1a4f4bfb9a3bd02cac8f5f0785066dca89a4fe9b3abf457243b3c3cca8e

Observation 91671700-7013-4899-9aea-0dd2a76f22e2 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents MemGPT: Towards LLMs as Operating Systems

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T15:31:09.736818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:2e7437a3310a46f34b173e611be4087a54810803b91029169ccb8d8a1ae60e89

Observation 12ee5e2e-ecc1-4a65-9b65-059b4c4ecaca · outbound

This paper cites O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T19:50:54.223286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:93cb8926ebc46db76c1504ee80f6985a8a262b1aaa922d6d96b1e3b1abe4454c

Observation d5573d9f-63c8-4ad5-9795-b9f93dd8c51e · outbound

This paper cites Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:09.895376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:aaac437efc9d7d729e3e4ca1a5cf14cf060e3535d1f7e36778221946a9edda2e

Observation d08c474f-300a-4760-bc35-ad69e523b422 · outbound

This paper cites MemInsight: Autonomous Memory Augmentation for LLM Agents.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents MemInsight: Autonomous Memory Augmentation for LLM Agents

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:09.904694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:52c6e6e8f9beca0b018552b8cc4977a96dbd1ca3418082fdf177f5bc9b3f0669

Observation 4a66fa55-d711-4bf5-ba48-cafcfcfc7a05 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T15:31:10.349356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:ea64021b9571c0b2818ee1a9ca4fb37123f6f281625beaf1f9d440ee8427817e

Observation ec474ab7-f426-4021-88eb-913a4940581e · outbound

This paper cites Recursively summarizing enables long-term dialogue memory in large language models.Neurocomputing, 639:130193.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Recursively summarizing enables long-term dialogue memory in large language models.Neurocomputing, 639:130193

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T19:50:54.235257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:0cf98c5b74eeb21b9eb376029ad856821ea4a8046341a6cfdaa65255a1eeedef

Observation 051aac27-501a-4a64-b5ef-695ac920ec41 · outbound

This paper cites URLhttps://doi.org/10.52202/075280-3259.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents URLhttps://doi.org/10.52202/075280-3259

Reference 17

Resolution
verified exact
doi, observed 2026-05-09T19:50:54.237528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:f962e4e25b73f47191305ac51b6ea2fd8aa9abe64b75fc39434e2e4bf2fe1993

Observation e9326478-c0d5-43d5-994c-b9a489a60280 · outbound

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

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:07.738139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:4c4ba2c678683ad0b84e3fae7b51eebdd418d51814289b86152070856d8eee1e

Observation 06ff7f36-efd2-4084-8144-c949c914972e · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents C-Pack: Packed Resources For General Chinese Embeddings

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T13:24:32.287464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:ab057e5e76e61d2541808e0d10cb6c63fdad2ba0ec51aefa12feb457f3e11259

Observation 8b1de582-d925-4ebd-bbdd-de3e7de2e27b · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents A-MEM: Agentic Memory for LLM Agents

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-11T15:31:10.205091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:db194baeaef6249eac9babb49c174e8fe9b32b6d869587526c9a4f9dee6da475

Observation c7bca573-b854-42b4-9d63-355b5a86eaf1 · outbound

This paper cites Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Jinhe Bi, Kristian Kersting, Jeff Z.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Jinhe Bi, Kristian Kersting, Jeff Z

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:10.255141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:a74a500a67fc587d5912be9ab5b68758884bda415a0c869332d8a647fe1961b7

Observation edb3a766-bccb-40cb-a386-e49c4da204f0 · outbound

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

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 22

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:5bb9b720be4d20ad52fa0255db5a052f382f60741a0c35e4145a5e9ede7bb942

Observation 418c5969-365e-40b5-a5c7-51dc62433c4d · outbound

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

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T15:31:10.035351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:9fb161580eacbcadfd42e8b788d815441cc1dbc5baa2df53310e9e580a93c31c

Observation 912a3562-59fa-4858-a7d9-ef9ca0892d88 · outbound

This paper cites Amac: Interpretable admission control for agentic memory systems.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Amac: Interpretable admission control for agentic memory systems

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:10.050212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:95467e8c335a538805ef5daa25159b25a507bf1c67c1b3d1e7e606e4cb8919f1

Observation 52b238eb-5f60-4b8b-9a28-dae8b7786650 · outbound

This paper cites A survey on the memory mechanism of large language model- based agents.ACM Transactions on Information Systems, 43(6):155:1–155:47.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents A survey on the memory mechanism of large language model- based agents.ACM Transactions on Information Systems, 43(6):155:1–155:47

Reference 25

Resolution
metadata mismatch
doi, observed 2026-05-09T19:50:54.239600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:192ad59dc6d6c44195300085f072f2023090b1e20c6ea844447b2965e4698734

Observation 9a01412a-bb1a-4174-9402-c59c8eb8b1cb · outbound

This paper cites Adversarial eval.

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Adversarial eval

Reference 26

Resolution
metadata mismatch
doi, observed 2026-05-09T19:50:54.232100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:48:28.975899Z digest=sha256:8040a7e7a2883fc04f404709831f2a8adcfcb95c49bf0b30ae00b74d03c9d0a1

Pith citing papers

Observation e13f29cb-d068-45a3-af23-2cf01c35e66c · inbound

Presentation, Not Mechanism: A Render Confound in Deprecation-Aware Memory Evaluation cites this paper.

Presentation, Not Mechanism: A Render Confound in Deprecation-Aware Memory Evaluation MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T21:41:53.711740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:41:53.711740Z digest=sha256:f72834ae8fe773f6de3ab04cbd2033e64ccc77911d3752fb87931c83d7522fc5